Version 0.2.55

Merge pull request #2372 from ranaroussi/dev
sync dev -> main
2025-03-20 20:31:28 +00:00 · 2025-03-20 20:27:45 +00:00 · 2025-03-19 21:15:39 +00:00 · 2025-03-19 21:11:59 +00:00 · 2025-03-19 19:49:32 +00:00 · 2025-03-19 12:54:30 +01:00
58 changed files with 2816 additions and 4855 deletions
--- a/.DS_Store
+++ b/.DS_Store
--- a/.github/ISSUE_TEMPLATE/bug_report.yaml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yaml
@@ -54,7 +54,7 @@ body:
  - type: textarea
    id: debug-log
    attributes:
-      label: "Debug log"
+      label: "Debug log from yf.enable_debug_mode()"
      description: "Run code with debug logging enabled - `yf.enable_debug_mode()` - and post the full output. Context: https://github.com/ranaroussi/yfinance/tree/main#logging"
    validations:
      required: true
@@ -63,7 +63,7 @@ body:
    id: bad-data-proof
    attributes:
      label: "Bad data proof"
-      description: "If `yfinance` returning bad data, show proof here. Best is screenshot of finance.yahoo.com"
+      description: "If `yfinance` returning bad data, show proof of good data here. Best proof is screenshot of finance.yahoo.com"
    validations:
      required: false

--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -1,18 +0,0 @@
-name: ci
-on:
-  push:
-    branches:
-      - master
-      - main
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v4
-        with:
-          python-version: 3.x
-      - run: pip install -r requirements.txt
-      - run: pip install mkdocstrings==0.14.0
-      - run: pip install mkdocs-material
-      - run: mkdocs gh-deploy --force
--- a/.github/workflows/pytest.yml.disabled
+++ b/.github/workflows/pytest.yml.disabled
@@ -0,0 +1,35 @@
+name: Pytest
+
+on:
+  pull_request:
+    branches:
+      - master
+      - main
+      - dev
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v3
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: "3.12"
+        cache: 'pip'
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt pytest
+
+    - name: Run non-cache tests
+      run: pytest tests/ --ignore tests/test_cache.py --ignore tests/test_price_repair.py
+
+    - name: Run cache tests
+      run: |
+        pytest tests/test_cache.py::TestCache
+        pytest tests/test_cache.py::TestCacheNoPermission
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,6 +1,63 @@
 Change Log
 ===========

+0.2.55
+------
+Features
+- TTM financials #2321
+Fixes
+- info IndexError #2354
+- earnings dates TZ #2366
+- price repair tweaks & fixes #2368
+- history caching #2345
+- backup fetch TZ from info #2369
+Maintenance
+- log user agent #2326
+
+0.2.54
+------
+Hotfix user-agent #2277
+
+0.2.53
+------
+Fixes:
+- Fix: Failed to parse holders JSON data  #2234
+- Fix: Bad data in Holders #2244
+- Stop CSRF-cookie-fetch fail killing yfinance #2249
+- Fix Market Docs #2250
+- Fix: Broken "See also" links in documentation #2253
+- Fix: Interval check and error message formatting in multi.py #2256
+Improve:
+- Add pre- / post-stock prices (and other useful information) #2212
+- Warn user when use download() without specifying auto_adjust #2230
+- Refactor: Earnings Dates – Switch to API Fetching #2247
+- Improve prices div repair #2260
+Maintenance:
+- Add GitHub Actions workflow and fix failing tests #2233
+
+0.2.52
+------
+Features:
+- Improve Screener & docs #2207
+- Add Market summary & status #2175
+- Support custom period in Ticker.history() #2192
+- raise YfRateLimitError if rate limited #2108
+- add more options to Search #2191
+Fixes:
+- remove hardcoded keys in Analysis #2194
+- handle Yahoo changed Search response #2202
+Maintenance:
+- add optional dependencies to requirements.txt #2199
+
+0.2.51
+------
+Features:
+- Screener tweaks #2168
+- Search #2160
+- get_news() expose count #2173
+Fixes:
+- earnings_dates #2169
+
 0.2.50
 ------
 Fixes:
--- a/README.md
+++ b/README.md
@@ -1,49 +1,49 @@
+<img src="./doc/yfinance-gh-logo-dark.webp#gh-dark-mode-only" height="100">
+<img src="./doc/yfinance-gh-logo-light.webp#gh-light-mode-only" height="100">
+
 # Download market data from Yahoo! Finance's API

-<table border=1 cellpadding=10><tr><td>
-
-#### \*\*\* IMPORTANT LEGAL DISCLAIMER \*\*\*
-
---
-
-**Yahoo!, Y!Finance, and Yahoo! finance are registered trademarks of
-Yahoo, Inc.**
-
-yfinance is **not** affiliated, endorsed, or vetted by Yahoo, Inc. It's
-an open-source tool that uses Yahoo's publicly available APIs, and is
-intended for research and educational purposes.
-
-**You should refer to Yahoo!'s terms of use**
-([here](https://policies.yahoo.com/us/en/yahoo/terms/product-atos/apiforydn/index.htm),
-[here](https://legal.yahoo.com/us/en/yahoo/terms/otos/index.html), and
-[here](https://policies.yahoo.com/us/en/yahoo/terms/index.htm)) **for
-details on your rights to use the actual data downloaded. Remember - the
-Yahoo! finance API is intended for personal use only.**
-
-</td></tr></table>
-
---
-
 <a target="new" href="https://pypi.python.org/pypi/yfinance"><img border=0 src="https://img.shields.io/badge/python-2.7,%203.6+-blue.svg?style=flat" alt="Python version"></a>
 <a target="new" href="https://pypi.python.org/pypi/yfinance"><img border=0 src="https://img.shields.io/pypi/v/yfinance.svg?maxAge=60%" alt="PyPi version"></a>
 <a target="new" href="https://pypi.python.org/pypi/yfinance"><img border=0 src="https://img.shields.io/pypi/status/yfinance.svg?maxAge=60" alt="PyPi status"></a>
 <a target="new" href="https://pypi.python.org/pypi/yfinance"><img border=0 src="https://img.shields.io/pypi/dm/yfinance.svg?maxAge=2592000&label=installs&color=%2327B1FF" alt="PyPi downloads"></a>
-<a target="new" href="https://www.codefactor.io/repository/github/ranaroussi/yfinance"><img border=0 src="https://www.codefactor.io/repository/github/ranaroussi/yfinance/badge" alt="CodeFactor"></a>
 <a target="new" href="https://github.com/ranaroussi/yfinance"><img border=0 src="https://img.shields.io/github/stars/ranaroussi/yfinance.svg?style=social&label=Star&maxAge=60" alt="Star this repo"></a>
-<a target="new" href="https://twitter.com/aroussi"><img border=0 src="https://img.shields.io/twitter/follow/aroussi.svg?style=social&label=Follow&maxAge=60" alt="Follow me on twitter"></a>
+<a target="new" href="https://x.com/intent/follow?screen_name=aroussi"><img border=0 src="https://img.shields.io/twitter/follow/aroussi.svg?style=social&label=Follow&maxAge=60" alt="Follow me on twitter"></a>
+
+

 **yfinance** offers a Pythonic way to fetch financial & market data from [Yahoo!Ⓡ finance](https://finance.yahoo.com).

+---
+
+> [!IMPORTANT]  
+> **Yahoo!, Y!Finance, and Yahoo! finance are registered trademarks of Yahoo, Inc.**
+>
+> yfinance is **not** affiliated, endorsed, or vetted by Yahoo, Inc. It's an open-source tool that uses Yahoo's publicly available APIs, and is intended for research and educational purposes.
+> 
+> **You should refer to Yahoo!'s terms of use** ([here](https://policies.yahoo.com/us/en/yahoo/terms/product-atos/apiforydn/index.htm), [here](https://legal.yahoo.com/us/en/yahoo/terms/otos/index.html), and [here](https://policies.yahoo.com/us/en/yahoo/terms/index.htm)) **for details on your rights to use the actual data downloaded.
+>
+> Remember - the Yahoo! finance API is intended for personal use only.**
+
+---
+
+> [!TIP]
+> THE NEW DOCUMENTATION WEBSITE IS NOW LIVE! 🤘
+> 
+> Visit [**yfinance-python.org**](https://yfinance-python.org/) ›
+
+---
+
 ## Main components

 - `Ticker`: single ticker data
 - `Tickers`: multiple tickers' data
 - `download`: download market data for multiple tickers
+- `Market`: get information about a market
+- `Search`: quotes and news from search
 - `Sector` and `Industry`: sector and industry information
 - `EquityQuery` and `Screener`: build query to screen market

-## **NEW DOCUMENTATION WEBSITE**: [ranaroussi.github.io/yfinance](https://ranaroussi.github.io/yfinance/index.html)
-
 ## Installation

 Install `yfinance` from PYPI using `pip`:
@@ -56,7 +56,11 @@ The list of changes can be found in the [Changelog](https://github.com/ranarouss

 ## Developers: want to contribute?

-`yfinance` relies on community to investigate bugs, review code, and contribute code. Developer guide: https://github.com/ranaroussi/yfinance/discussions/1084
+`yfinance` relies on the community to investigate bugs, review code, and contribute code. Developer guide: https://github.com/ranaroussi/yfinance/discussions/1084
+
+---
+
+![Star History Chart](https://api.star-history.com/svg?repos=ranaroussi/yfinance)

 ---

--- a/doc/source/_static/logo-dark.webp
+++ b/doc/source/_static/logo-dark.webp
--- a/doc/source/_static/logo-light.webp
+++ b/doc/source/_static/logo-light.webp
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -10,8 +10,8 @@ sys.path.insert(0, os.path.abspath('../..'))
 # -- Project information -----------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information

-project = 'yfinance - market data downloader'
-copyright = '2017-2019 Ran Aroussi'
+project = 'yfinance / Pythonic access to market data'
+copyright = '2017-2025 Ran Aroussi'
 author = 'Ran Aroussi'

 # -- General configuration ---------------------------------------------------
@@ -29,7 +29,8 @@ exclude_patterns = []
 autoclass_content = 'both'
 autosummary_generate = True
 autodoc_default_options = {
-    'exclude-members': '__init__'
+    'exclude-members': '__init__',
+    'members': True,
 }

 # -- Options for HTML output -------------------------------------------------
@@ -39,7 +40,11 @@ html_title = 'yfinance'
 html_theme = 'pydata_sphinx_theme'
 html_theme_options = {
    "github_url": "https://github.com/ranaroussi/yfinance",
-    "navbar_align": "left"
+    "navbar_align": "left",
+    "logo": {
+      "image_light": "_static/logo-light.webp",
+      "image_dark": "_static/logo-dark.webp"
+   }
 }
 html_static_path = ['_static']
 html_css_files = ['yfinance.css']
--- a/doc/source/reference/examples/market.py
+++ b/doc/source/reference/examples/market.py
@@ -0,0 +1,6 @@
+import yfinance as yf
+
+EUROPE = yf.Market("EUROPE")
+
+status = EUROPE.status
+summary = EUROPE.summary
--- a/doc/source/reference/examples/search.py
+++ b/doc/source/reference/examples/search.py
@@ -0,0 +1,10 @@
+import yfinance as yf
+
+# get list of quotes
+quotes = yf.Search("AAPL", max_results=10).quotes
+
+# get list of news
+news = yf.Search("Google", news_count=10).news
+
+# get list of related research
+research = yf.Search("apple", include_research=True).research
--- a/doc/source/reference/index.rst
+++ b/doc/source/reference/index.rst
@@ -15,11 +15,15 @@ The following are the publicly available classes, and functions exposed by the `

 - :attr:`Ticker <yfinance.Ticker>`: Class for accessing single ticker data.
 - :attr:`Tickers <yfinance.Tickers>`: Class for handling multiple tickers.
+- :attr:`Market <yfinance.Market>`: Class for accessing market summary.
+- :attr:`download <yfinance.download>`: Function to download market data for multiple tickers.
+- :attr:`Search <yfinance.Search>`: Class for accessing search results.
 - :attr:`Sector <yfinance.Sector>`: Domain class for accessing sector information.
 - :attr:`Industry <yfinance.Industry>`: Domain class for accessing industry information.
- :attr:`download <yfinance.download>`: Function to download market data for multiple tickers.
- :attr:`EquityQuery <yfinance.EquityQuery>`: Class to build equity market query.
- :attr:`Screener <yfinance.Screener>`: Class to screen the market using defined query.
+- :attr:`Market <yfinance.Market>`: Class for accessing market status & summary.
+- :attr:`EquityQuery <yfinance.EquityQuery>`: Class to build equity query filters.
+- :attr:`FundQuery <yfinance.FundQuery>`: Class to build fund query filters.
+- :attr:`screen <yfinance.screen>`: Run equity/fund queries.
 - :attr:`enable_debug_mode <yfinance.enable_debug_mode>`: Function to enable debug mode for logging.
 - :attr:`set_tz_cache_location <yfinance.set_tz_cache_location>`: Function to set the timezone cache location.

@@ -30,9 +34,13 @@ The following are the publicly available classes, and functions exposed by the `

   yfinance.ticker_tickers
   yfinance.stock
+   yfinance.market
   yfinance.financials
   yfinance.analysis
+   yfinance.market
+   yfinance.search
   yfinance.sector_industry
+   yfinance.screener
   yfinance.functions

   yfinance.funds_data
--- a/doc/source/reference/yfinance.financials.rst
+++ b/doc/source/reference/yfinance.financials.rst
@@ -10,12 +10,16 @@ Financials

   get_income_stmt
   income_stmt
+   quarterly_income_stmt
+   ttm_income_stmt

   get_balance_sheet
   balance_sheet

   get_cashflow
   cashflow
+   quarterly_cashflow
+   ttm_cashflow

   get_earnings
   earnings
--- a/doc/source/reference/yfinance.functions.rst
+++ b/doc/source/reference/yfinance.functions.rst
@@ -13,25 +13,6 @@ The `download` function allows you to retrieve market data for multiple tickers

   download

-Query Market Data
-~~~~~~~~~~~~~~~~~~~~~
-The `Sector` and `Industry` modules allow you to access the sector and industry information.
-
-.. autosummary:: 
-   :toctree: api/
-
-   EquityQuery
-   Screener
-
-.. seealso::
-   :attr:`EquityQuery.valid_operand_fields <yfinance.EquityQuery.valid_operand_fields>`
-      supported operand values for query
-   :attr:`EquityQuery.valid_eq_operand_map <yfinance.EquityQuery.valid_eq_operand_map>`
-      supported `EQ query operand parameters`
-   :attr:`Screener.predefined_bodies <yfinance.Screener.predefined_bodies>`
-      supported predefined screens
-   
-
 Enable Debug Mode
 ~~~~~~~~~~~~~~~~~
 Enables logging of debug information for the `yfinance` package.
--- a/doc/source/reference/yfinance.market.rst
+++ b/doc/source/reference/yfinance.market.rst
@@ -0,0 +1,41 @@
+=====================
+Market
+=====================
+
+.. currentmodule:: yfinance
+
+
+Class
+------------
+The `Market` class, allows you to access market data in a Pythonic way.
+
+.. autosummary::
+   :toctree: api/
+
+   Market
+
+Market Sample Code
+------------------
+
+.. literalinclude:: examples/market.py
+   :language: python
+
+
+Markets
+------------
+There are 8 different markets available in Yahoo Finance.
+
+* US
+* GB
+
+\ 
+
+* ASIA
+* EUROPE
+
+\ 
+
+* RATES
+* COMMODITIES
+* CURRENCIES
+* CRYPTOCURRENCIES
--- a/doc/source/reference/yfinance.screener.rst
+++ b/doc/source/reference/yfinance.screener.rst
@@ -0,0 +1,27 @@
+=========================
+Screener & Query
+=========================
+
+.. currentmodule:: yfinance
+
+Query Market Data
+~~~~~~~~~~~~~~~~~~~~~
+The `Sector` and `Industry` modules allow you to access the sector and industry information.
+
+.. autosummary:: 
+   :toctree: api/
+
+   EquityQuery
+   FundQuery
+   screen
+
+.. seealso::
+   :attr:`EquityQuery.valid_fields <yfinance.EquityQuery.valid_fields>`
+      supported operand values for query
+   :attr:`EquityQuery.valid_values <yfinance.EquityQuery.valid_values>`
+      supported `EQ query operand parameters`
+   :attr:`FundQuery.valid_fields <yfinance.FundQuery.valid_fields>`
+      supported operand values for query
+   :attr:`FundQuery.valid_values <yfinance.FundQuery.valid_values>`
+      supported `EQ query operand parameters`
+   
--- a/doc/source/reference/yfinance.search.rst
+++ b/doc/source/reference/yfinance.search.rst
@@ -0,0 +1,22 @@
+=====================
+Search & News
+=====================
+
+.. currentmodule:: yfinance
+
+
+Class
+------------
+The `Search` module, allows you to access search data in a Pythonic way.
+
+.. autosummary::
+   :toctree: api/
+
+   Search
+
+Search Sample Code
+------------------
+The `Search` module, allows you to access search data in a Pythonic way.
+
+.. literalinclude:: examples/search.py
+   :language: python
--- a/doc/yfinance-gh-icon-dark.webp
+++ b/doc/yfinance-gh-icon-dark.webp
--- a/doc/yfinance-gh-icon-light.webp
+++ b/doc/yfinance-gh-icon-light.webp
--- a/doc/yfinance-gh-logo-dark.webp
+++ b/doc/yfinance-gh-logo-dark.webp
--- a/doc/yfinance-gh-logo-light.webp
+++ b/doc/yfinance-gh-logo-light.webp
--- a/meta.yaml
+++ b/meta.yaml
@@ -1,5 +1,5 @@
 {% set name = "yfinance" %}
-{% set version = "0.2.50" %}
+{% set version = "0.2.55" %}

 package:
  name: "{{ name|lower }}"
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,19 +0,0 @@
-# site_name: My Docs
-
-# # mkdocs.yml
-# theme:
-#   name: "material"
-
-# plugins:
-# - search
-# - mkdocstrings
-
-# nav:
-#   - Introduction: 'index.md'
-#   - Installation: 'installation.md'
-#   - Quick Start: 'quickstart.md'
-#   # - Ticker: 'Ticker.md'
-#   - TickerBase: 'TickerBase.md'
-#   # - Tickers: 'Tickers.md'
-#   - utils: 'utils.md'
-#   - multi: 'multi.md'
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,10 +2,11 @@ pandas>=1.3.0
 numpy>=1.16.5
 requests>=2.31
 multitasking>=0.0.7
-lxml>=4.9.1
 platformdirs>=2.0.0
 pytz>=2022.5
 frozendict>=2.3.4
 beautifulsoup4>=4.11.1
-html5lib>=1.1
-peewee>=3.16.2
+peewee>=3.16.2
+requests_cache>=1.0
+requests_ratelimiter>=0.3.1
+scipy>=1.6.3
--- a/setup.py
+++ b/setup.py
@@ -61,9 +61,9 @@ setup(
    packages=find_packages(exclude=['contrib', 'docs', 'tests', 'examples']),
    install_requires=['pandas>=1.3.0', 'numpy>=1.16.5',
                      'requests>=2.31', 'multitasking>=0.0.7',
-                      'lxml>=4.9.1', 'platformdirs>=2.0.0', 'pytz>=2022.5',
+                      'platformdirs>=2.0.0', 'pytz>=2022.5',
                      'frozendict>=2.3.4', 'peewee>=3.16.2',
-                      'beautifulsoup4>=4.11.1', 'html5lib>=1.1'],
+                      'beautifulsoup4>=4.11.1'],
    extras_require={
        'nospam': ['requests_cache>=1.0', 'requests_ratelimiter>=0.3.1'],
        'repair': ['scipy>=1.6.3'],
--- a/tests/context.py
+++ b/tests/context.py
@@ -5,9 +5,7 @@ import datetime as _dt
 import sys
 import os
 import yfinance
-from requests import Session
-from requests_cache import CacheMixin, SQLiteCache
-from requests_ratelimiter import LimiterMixin, MemoryQueueBucket
+from requests_ratelimiter import LimiterSession
 from pyrate_limiter import Duration, RequestRate, Limiter

 _parent_dp = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
@@ -27,19 +25,21 @@ if os.path.isdir(testing_cache_dirpath):
        import shutil
        shutil.rmtree(testing_cache_dirpath)

-
-# Setup a session to rate-limit and cache persistently:
-class CachedLimiterSession(CacheMixin, LimiterMixin, Session):
-    pass
-history_rate = RequestRate(1, Duration.SECOND*2)
+# Setup a session to only rate-limit
+history_rate = RequestRate(1, Duration.SECOND)
 limiter = Limiter(history_rate)
-cache_fp = os.path.join(testing_cache_dirpath, "unittests-cache")
-session_gbl = CachedLimiterSession(
-    limiter=limiter,
-    bucket_class=MemoryQueueBucket,
-    backend=SQLiteCache(cache_fp, expire_after=_dt.timedelta(hours=1)),
-)
-# Use this instead if only want rate-limiting:
-# from requests_ratelimiter import LimiterSession
-# session_gbl = LimiterSession(limiter=limiter)
+session_gbl = LimiterSession(limiter=limiter)

+# Use this instead if you also want caching:
+# from requests_cache import CacheMixin, SQLiteCache
+# from requests_ratelimiter import LimiterMixin
+# from requests import Session
+# from pyrate_limiter import MemoryQueueBucket
+# class CachedLimiterSession(CacheMixin, LimiterMixin, Session):
+#     pass
+# cache_fp = os.path.join(testing_cache_dirpath, "unittests-cache")
+# session_gbl = CachedLimiterSession(
+#     limiter=limiter,
+#     bucket_class=MemoryQueueBucket,
+#     backend=SQLiteCache(cache_fp, expire_after=_dt.timedelta(hours=1)),
+# )
--- a/tests/data/KWS-L-1d-bad-div-fixed.csv
+++ b/tests/data/KWS-L-1d-bad-div-fixed.csv
@@ -1,725 +0,0 @@
-Datetime,Open,High,Low,Close,Adj Close,Volume,Dividends,Stock Splits,Repaired?
-2022-01-04 00:00:00+00:00,29.46,29.98,28.52,28.66,20.53276113953462,169521.0,0.0,0.0,True
-2022-01-05 00:00:00+00:00,30.0,30.0,28.46,28.900000000000002,20.70470257643437,128698.0,0.0,0.0,True
-2022-01-06 00:00:00+00:00,28.2,28.560000000000002,27.5,27.82,19.930963478279654,374659.0,0.0,0.0,True
-2022-01-07 00:00:00+00:00,28.3,28.3,27.400000000000002,27.46,19.67305220029865,80410.0,0.0,0.0,True
-2022-01-10 00:00:00+00:00,28.16,28.240000000000002,26.2,26.580000000000002,19.042597925349927,135881.0,0.0,0.0,True
-2022-01-11 00:00:00+00:00,25.92,27.060000000000002,25.92,26.72,19.142895195909453,71414.0,0.0,0.0,True
-2022-01-12 00:00:00+00:00,26.72,26.96,26.060000000000002,26.8,19.200210178034187,68611.0,0.0,0.0,True
-2022-01-13 00:00:00+00:00,26.72,27.3239990234375,26.6,27.2,19.486779824446177,155917.0,0.0,0.0,True
-2022-01-14 00:00:00+00:00,27.52,27.52,26.36,26.560000000000002,19.028270495871666,66402.0,0.0,0.0,True
-2022-01-17 00:00:00+00:00,27.02,27.22,26.28,27.22,19.50111251813613,60092.0,0.0,0.0,True
-2022-01-18 00:00:00+00:00,27.66,27.66,26.0,26.86,19.243195975943426,128385.0,0.0,0.0,True
-2022-01-19 00:00:00+00:00,27.0,27.46,26.7,27.2,19.486779824446177,75141.0,0.0,0.0,True
-2022-01-20 00:00:00+00:00,26.900000000000002,27.7,26.81172119140625,27.54,19.730365427686156,99304.0,0.0,0.0,True
-2022-01-21 00:00:00+00:00,27.26,27.88,26.214208984375002,26.38,18.89931310214393,123570.0,0.0,0.0,True
-2022-01-24 00:00:00+00:00,26.14,26.261599121093752,24.72,24.88,17.824671663887276,148794.0,0.0,0.0,True
-2022-01-25 00:00:00+00:00,24.92,25.2,24.580000000000002,24.580000000000002,17.609746183815513,94318.0,0.0,0.0,True
-2022-01-26 00:00:00+00:00,25.52,25.52,24.400000000000002,24.66,17.667057656465794,265198.0,0.0,0.0,True
-2022-01-27 00:00:00+00:00,24.66,25.12669921875,24.400000000000002,24.82,17.78168762071526,248811.0,0.0,0.0,True
-2022-01-28 00:00:00+00:00,24.7,24.88,24.1,24.32,17.4234773174375,146209.0,0.0,0.0,True
-2022-01-31 00:00:00+00:00,25.3,25.46,24.3,25.2,18.05392983764899,495745.0,0.0,0.0,True
-2022-02-01 00:00:00+00:00,25.580000000000002,26.78,25.580000000000002,26.7,19.128567766431193,426366.0,0.0,0.0,True
-2022-02-02 00:00:00+00:00,25.5,27.28,25.5,26.38,18.89931310214393,134118.0,0.0,0.0,True
-2022-02-03 00:00:00+00:00,26.28,26.3639990234375,24.82,24.88,17.824671663887276,168782.0,0.0,0.0,True
-2022-02-04 00:00:00+00:00,24.6,25.14,24.400000000000002,24.76,17.738701822806014,110543.0,0.0,0.0,True
-2022-02-07 00:00:00+00:00,25.04,25.04,24.54,24.54,17.581089570121758,163853.0,0.0,0.0,True
-2022-02-08 00:00:00+00:00,24.64,24.64,23.8,24.12,17.280188984757043,146007.0,0.0,0.0,True
-2022-02-09 00:00:00+00:00,24.5,24.98,24.3,24.7,17.695716024896768,130747.0,0.0,0.0,True
-2022-02-10 00:00:00+00:00,24.52,24.7,24.080000000000002,24.46,17.523774587997018,113862.0,0.0,0.0,True
-2022-02-11 00:00:00+00:00,24.5,24.72,24.1,24.42,17.49511797430327,87108.0,0.0,0.0,True
-2022-02-14 00:00:00+00:00,24.42,24.42,23.34,23.98,17.179889959460297,79188.0,0.0,0.0,True
-2022-02-15 00:00:00+00:00,23.86,24.560000000000002,23.54,24.22,17.35183139636004,175846.0,0.0,0.0,True
-2022-02-16 00:00:00+00:00,24.580000000000002,24.580000000000002,23.76,23.98,17.179889959460297,62392.0,0.0,0.0,True
-2022-02-17 00:00:00+00:00,24.78,24.78,23.86,23.86,17.09392011837903,111791.0,0.0,0.0,True
-2022-02-18 00:00:00+00:00,23.84,23.94760009765625,23.36,23.48,16.821676146708075,61467.0,0.0,0.0,True
-2022-02-21 00:00:00+00:00,23.46,23.64919921875,22.82,23.080000000000002,16.53510474555885,71820.0,0.0,0.0,True
-2022-02-22 00:00:00+00:00,24.18,24.18,22.54,23.38,16.75003373510507,75721.0,0.0,0.0,True
-2022-02-23 00:00:00+00:00,23.78,24.04,23.02,23.02,16.492122457124065,122317.0,0.0,0.0,True
-2022-02-24 00:00:00+00:00,23.3,23.3,21.96,22.52,16.133908644371843,241118.0,0.0,0.0,True
-2022-02-25 00:00:00+00:00,23.0,23.56,22.66,23.32,16.70704969193306,147148.0,0.0,0.0,True
-2022-02-28 00:00:00+00:00,22.36,24.14,22.36,24.14,17.29451641423531,226698.0,0.0,0.0,True
-2022-03-01 00:00:00+00:00,24.080000000000002,24.22,23.5,23.5,16.836007085660796,218356.0,0.0,0.0,True
-2022-03-02 00:00:00+00:00,23.7,23.900000000000002,23.26,23.62,16.921978681479285,87219.0,0.0,0.0,True
-2022-03-03 00:00:00+00:00,23.26,23.8,22.14,22.14,15.861666427438118,137377.0,0.0,0.0,True
-2022-03-04 00:00:00+00:00,22.3,22.92,20.740000000000002,20.740000000000002,14.858670910258917,173972.0,0.0,0.0,True
-2022-03-07 00:00:00+00:00,20.740000000000002,21.14,19.5,20.3,14.54344201804733,282380.0,0.0,0.0,True
-2022-03-08 00:00:00+00:00,20.3,20.82,19.52,19.52,13.984631032070219,268763.0,0.0,0.0,True
-2022-03-09 00:00:00+00:00,20.0,21.02,19.73,21.02,15.059270715589653,624876.0,0.0,0.0,True
-2022-03-10 00:00:00+00:00,21.22,21.22,20.38,20.44,14.643742798081307,266261.0,0.0,0.0,True
-2022-03-11 00:00:00+00:00,20.66,21.52,20.46,20.900000000000002,14.97329911977116,139879.0,0.0,0.0,True
-2022-03-14 00:00:00+00:00,21.5,21.88,21.1,21.580000000000002,15.460468571513879,87051.0,0.0,0.0,True
-2022-03-15 00:00:00+00:00,20.72,21.48,20.72,20.96,15.016284917680403,86783.0,0.0,0.0,True
-2022-03-16 00:00:00+00:00,21.580000000000002,22.72,21.36,22.48,16.10525378541532,118783.0,0.0,0.0,True
-2022-03-17 00:00:00+00:00,21.68,22.7,21.68,22.46,16.090922846462604,86717.0,0.0,0.0,True
-2022-03-18 00:00:00+00:00,21.76,23.32,21.76,23.18,16.60675066663631,147084.0,0.0,0.0,True
-2022-03-21 00:00:00+00:00,23.400000000000002,23.400000000000002,22.26,22.62,16.205551055974844,290436.0,0.0,0.0,True
-2022-03-22 00:00:00+00:00,23.22,23.22,21.94,22.0,15.761365647404139,89172.0,0.0,0.0,True
-2022-03-23 00:00:00+00:00,21.68,22.7,21.68,22.56,16.162565258065598,83842.0,0.0,0.0,True
-2022-03-24 00:00:00+00:00,21.42,22.64,21.400000000000002,22.400000000000002,16.047938803290588,121267.0,0.0,0.0,True
-2022-03-25 00:00:00+00:00,22.5,23.1,21.92,22.66,16.234207669668603,192618.0,0.0,0.0,True
-2022-03-28 00:00:00+01:00,22.14,23.32,22.14,22.86,16.37749424761182,109333.0,0.0,0.0,True
-2022-03-29 00:00:00+01:00,23.02,23.511201171875,22.8360009765625,23.38,16.75003373510507,85895.0,0.0,0.0,True
-2022-03-30 00:00:00+01:00,23.82,25.740000000000002,23.82,25.740000000000002,18.440800264094957,571137.0,0.0,0.0,True
-2022-03-31 00:00:00+01:00,25.68,26.2,25.0,26.2,18.77035219894174,458165.0,0.0,0.0,True
-2022-04-01 00:00:00+01:00,26.32,26.34,25.580000000000002,25.580000000000002,18.32617029984549,206616.0,0.0,0.0,True
-2022-04-04 00:00:00+01:00,26.400000000000002,26.400000000000002,25.2,25.92,18.569757657822695,150039.0,0.0,0.0,True
-2022-04-05 00:00:00+01:00,25.94,26.92,25.900000000000002,26.46,18.956626329531442,2241719.0,0.0,0.0,True
-2022-04-06 00:00:00+01:00,26.62,26.98,26.32,26.52,18.99961212744068,178598.0,0.0,0.0,True
-2022-04-07 00:00:00+01:00,26.86,27.62,26.44,27.18,19.472452394967913,191304.0,0.0,0.0,True
-2022-04-08 00:00:00+01:00,27.52,27.72489990234375,26.52,26.62,19.071256293780912,131026.0,0.0,0.0,True
-2022-04-11 00:00:00+01:00,26.560000000000002,26.692480468750002,25.88,26.0,18.6270708852102,106445.0,0.0,0.0,True
-2022-04-12 00:00:00+01:00,26.0,26.580000000000002,26.0,26.28,18.827668935803704,134222.0,0.0,0.0,True
-2022-04-13 00:00:00+01:00,26.62,26.62,25.92,26.3,18.8419981200192,151567.0,0.0,0.0,True
-2022-04-14 00:00:00+01:00,26.240000000000002,26.52,25.79534912109375,26.0,18.6270708852102,203268.0,0.0,0.0,True
-2022-04-19 00:00:00+01:00,25.8,26.060000000000002,24.96,25.54,18.29751368615174,202763.0,0.0,0.0,True
-2022-04-20 00:00:00+01:00,25.740000000000002,25.740000000000002,25.12,25.12,17.996616610261484,133972.0,0.0,0.0,True
-2022-04-21 00:00:00+01:00,25.22,25.62,25.1,25.2,18.05392983764899,134423.0,0.0,0.0,True
-2022-04-22 00:00:00+01:00,24.62,25.38,24.62,25.02,17.924972443921252,148749.0,0.0,0.0,True
-2022-04-25 00:00:00+01:00,24.38,24.86,24.18,24.400000000000002,17.480788790087782,283575.0,0.0,0.0,True
-2022-04-26 00:00:00+01:00,24.3,24.82,24.22,24.3,17.409144623747547,271554.0,0.0,0.0,True
-2022-04-27 00:00:00+01:00,24.0,24.94,23.2,23.46,16.807348717229807,147954.0,0.0,0.0,True
-2022-04-28 00:00:00+01:00,23.48,23.90139892578125,23.42,23.76,17.022275952038804,98816.0,0.0,0.0,True
-2022-04-29 00:00:00+01:00,23.22,24.16,23.2,24.04,17.222875757369536,139578.0,0.0,0.0,True
-2022-05-03 00:00:00+01:00,23.6,24.3,23.18,23.48,16.821676146708075,181511.0,0.0,0.0,True
-2022-05-04 00:00:00+01:00,23.16,23.26,22.24698974609375,22.44,16.07659541698434,199215.0,0.0,0.0,True
-2022-05-05 00:00:00+01:00,23.52,23.52,22.18,22.26,15.947638023256607,468283.0,0.0,0.0,True
-2022-05-06 00:00:00+01:00,21.900000000000002,22.06,21.5,22.0,15.761365647404139,119246.0,0.0,0.0,True
-2022-05-09 00:00:00+01:00,21.88,21.89320068359375,20.8,21.14,15.145240556670908,216918.0,0.0,0.0,True
-2022-05-10 00:00:00+01:00,21.3,22.02,21.14,21.52,15.417482773604641,175912.0,0.0,0.0,True
-2022-05-11 00:00:00+01:00,22.080000000000002,22.6,21.48,21.92,15.704052420016632,161619.0,0.0,0.0,True
-2022-05-12 00:00:00+01:00,21.54,22.0,21.0,21.96,15.732709033710387,162789.0,0.0,0.0,True
-2022-05-13 00:00:00+01:00,22.0,22.580000000000002,21.88,22.400000000000002,16.047938803290588,136027.0,0.0,0.0,True
-2022-05-16 00:00:00+01:00,22.28,22.32,21.66,21.88,15.675395806322873,169593.0,0.0,0.0,True
-2022-05-17 00:00:00+01:00,21.94,22.1,21.580000000000002,21.8,15.6180843336726,230442.0,0.0,0.0,True
-2022-05-18 00:00:00+01:00,22.76,22.76,21.34,21.36,15.302854564092398,218130.0,0.0,0.0,True
-2022-05-19 00:00:00+01:00,21.56,21.900000000000002,20.82,21.82,15.63241176315086,161985.0,0.0,0.0,True
-2022-05-20 00:00:00+01:00,21.88,22.5,21.7,21.76,15.589424210504394,108143.0,0.0,0.0,True
-2022-05-23 00:00:00+01:00,21.7,22.26,21.68,21.84,15.646737437891897,114671.0,0.0,0.0,True
-2022-05-24 00:00:00+01:00,22.0,22.0,21.22,21.34,15.288527134614132,80311.0,0.0,0.0,True
-2022-05-25 00:00:00+01:00,21.44,22.240000000000002,21.3510009765625,21.94,15.718381604232118,108379.0,0.0,0.0,True
-2022-05-26 00:00:00+01:00,22.240000000000002,22.240000000000002,21.66,22.080000000000002,15.818681213374894,54302.0,0.0,0.0,True
-2022-05-27 00:00:00+01:00,22.14,22.68,22.04,22.5,16.119582880836756,84161.0,0.0,0.0,True
-2022-05-30 00:00:00+01:00,22.8,23.1,22.5,22.68,16.248539235253762,92952.0,0.0,0.0,True
-2022-05-31 00:00:00+01:00,22.0,23.56,22.0,23.42,16.778693136745915,260541.0,0.0,0.0,True
-2022-06-01 00:00:00+01:00,23.52,23.76,22.96,23.48,16.82167858821825,169299.0,0.0,0.0,True
-2022-06-06 00:00:00+01:00,23.52,23.76,23.080000000000002,23.56,16.878994277092456,62642.0,0.0,0.0,True
-2022-06-07 00:00:00+01:00,22.62,23.92,22.62,23.8,17.050936082981796,131089.0,0.0,0.0,True
-2022-06-08 00:00:00+01:00,23.88,24.22,23.88,24.060000000000002,17.237204619117506,144324.0,0.0,0.0,True
-2022-06-09 00:00:00+01:00,23.72,24.740000000000002,23.48300048828125,24.32,17.423476662408714,197024.0,0.0,0.0,True
-2022-06-10 00:00:00+01:00,24.18,24.5,23.68,23.900000000000002,17.122578502102364,391211.0,0.0,0.0,True
-2022-06-13 00:00:00+01:00,23.78,24.0,22.88,23.2,17.789308885513787,389306.0,1.45,0.0,True
-2022-06-14 00:00:00+01:00,23.18,23.34,22.92,23.04,17.66662428140854,168973.0,0.0,0.0,True
-2022-06-15 00:00:00+01:00,22.6,23.18,21.580000000000002,22.26,17.068536836395484,159033.0,0.0,0.0,True
-2022-06-16 00:00:00+01:00,22.54,22.54,21.82,21.92,16.80783017584214,154582.0,0.0,0.0,True
-2022-06-17 00:00:00+01:00,22.02,22.62,22.0,22.56,17.29857046909282,162701.0,0.0,0.0,True
-2022-06-20 00:00:00+01:00,22.54,22.7643994140625,22.3,22.46,17.221890714697334,48492.0,0.0,0.0,True
-2022-06-21 00:00:00+01:00,22.52,23.1,22.34,22.740000000000002,17.436590648711217,131960.0,0.0,0.0,True
-2022-06-22 00:00:00+01:00,22.94,23.12,22.03,22.96,17.60528197935593,67403.0,0.0,0.0,True
-2022-06-23 00:00:00+01:00,23.5,23.5,21.88,22.240000000000002,17.053197507222922,191595.0,0.0,0.0,True
-2022-06-24 00:00:00+01:00,22.8,23.34,22.580000000000002,23.1,17.712632884777715,186503.0,0.0,0.0,True
-2022-06-27 00:00:00+01:00,23.080000000000002,23.34,22.78,22.900000000000002,17.559273375986756,75108.0,0.0,0.0,True
-2022-06-28 00:00:00+01:00,22.84,23.14,22.42,22.6,17.32923974328942,95713.0,0.0,0.0,True
-2022-06-29 00:00:00+01:00,22.44,22.580000000000002,21.76,21.8,16.715816722763208,143179.0,0.0,0.0,True
-2022-06-30 00:00:00+01:00,21.38,22.0,21.38,21.94,16.823165751355294,143371.0,0.0,0.0,True
-2022-07-01 00:00:00+01:00,21.0,22.3,21.0,22.14,16.97652150648685,151912.0,0.0,0.0,True
-2022-07-04 00:00:00+01:00,22.96,23.12,21.76,21.86,16.761825326132374,163031.0,0.0,0.0,True
-2022-07-05 00:00:00+01:00,21.8,22.26,21.1,21.54,16.516450487432774,87873.0,0.0,0.0,True
-2022-07-06 00:00:00+01:00,21.8,22.54,21.8,22.5,17.25256374255335,192002.0,0.0,0.0,True
-2022-07-07 00:00:00+01:00,22.740000000000002,22.86,22.44739990234375,22.68,17.39058392217175,44045.0,0.0,0.0,True
-2022-07-08 00:00:00+01:00,22.7,23.1,22.38,23.0,17.63595125355253,54169.0,0.0,0.0,True
-2022-07-11 00:00:00+01:00,23.0,23.240000000000002,22.68,23.02,17.651288705895393,28404.0,0.0,0.0,True
-2022-07-12 00:00:00+01:00,23.48,23.48,22.38,22.400000000000002,17.175885864987574,58069.0,0.0,0.0,True
-2022-07-13 00:00:00+01:00,21.98,22.42,21.54,22.2,17.022528233026314,171315.0,0.0,0.0,True
-2022-07-14 00:00:00+01:00,21.6,22.28739990234375,21.42,21.8,16.715816722763208,69105.0,0.0,0.0,True
-2022-07-15 00:00:00+01:00,22.240000000000002,22.46,21.42,22.38,17.160548412644715,37962.0,0.0,0.0,True
-2022-07-18 00:00:00+01:00,22.52,23.26,22.52,23.1,17.712632884777715,57375.0,0.0,0.0,True
-2022-07-19 00:00:00+01:00,22.86,23.240000000000002,22.86,23.080000000000002,17.697293555605157,111888.0,0.0,0.0,True
-2022-07-20 00:00:00+01:00,23.32,23.7,23.27,23.64,18.126693423632915,101102.0,0.0,0.0,True
-2022-07-21 00:00:00+01:00,23.6,24.3,23.52,24.3,18.63276741556704,94675.0,0.0,0.0,True
-2022-07-22 00:00:00+01:00,24.22,24.66,24.14,24.28,18.617431840053886,106841.0,0.0,0.0,True
-2022-07-25 00:00:00+01:00,24.26,24.42,23.96,24.04,18.433404933896025,156132.0,0.0,0.0,True
-2022-07-26 00:00:00+01:00,24.1,24.1,23.56,23.56,18.065351121580292,100895.0,0.0,0.0,True
-2022-07-27 00:00:00+01:00,23.48,23.94,23.44,23.580000000000002,18.080686697093444,147619.0,0.0,0.0,True
-2022-07-28 00:00:00+01:00,24.32,24.400000000000002,23.84,24.400000000000002,18.709447169962523,68667.0,0.0,0.0,True
-2022-07-29 00:00:00+01:00,24.28,25.48,24.26,25.14,19.27686346394928,215529.0,0.0,0.0,True
-2022-08-01 00:00:00+01:00,26.0,26.0,24.6,24.900000000000002,19.092834680961705,67096.0,0.0,0.0,True
-2022-08-02 00:00:00+01:00,24.86,24.900000000000002,24.3,24.52,18.801460623041454,44575.0,0.0,0.0,True
-2022-08-03 00:00:00+01:00,25.400000000000002,27.664499511718752,24.740000000000002,27.0,20.703077617161842,363560.0,0.0,0.0,True
-2022-08-04 00:00:00+01:00,26.96,27.06300048828125,25.98,26.42,20.258342173620928,390933.0,0.0,0.0,True
-2022-08-05 00:00:00+01:00,26.28,27.1,26.22,26.54,20.35035562669986,281941.0,0.0,0.0,True
-2022-08-08 00:00:00+01:00,26.26,26.84,25.740000000000002,26.02,19.95163066335782,119579.0,0.0,0.0,True
-2022-08-09 00:00:00+01:00,26.0,26.12,25.400000000000002,25.42,19.491561521133452,81157.0,0.0,0.0,True
-2022-08-10 00:00:00+01:00,26.0,26.361459960937502,24.84,26.240000000000002,20.120323870832234,236333.0,0.0,0.0,True
-2022-08-11 00:00:00+01:00,26.22,26.52,25.94,26.26,20.135657569515683,202521.0,0.0,0.0,True
-2022-08-12 00:00:00+01:00,26.740000000000002,26.76,26.12,26.68,20.45770465529195,94373.0,0.0,0.0,True
-2022-08-15 00:00:00+01:00,26.0,26.92,25.66,26.68,20.45770465529195,130154.0,0.0,0.0,True
-2022-08-16 00:00:00+01:00,26.1,26.86,25.34,25.580000000000002,19.6142480020684,220905.0,0.0,0.0,True
-2022-08-17 00:00:00+01:00,25.66,26.2,25.32,25.740000000000002,19.73693072934394,194549.0,0.0,0.0,True
-2022-08-18 00:00:00+01:00,25.740000000000002,25.8,25.42,25.8,19.782937455883403,73907.0,0.0,0.0,True
-2022-08-19 00:00:00+01:00,25.64,25.7,24.38,24.38,18.694109717619664,161331.0,0.0,0.0,True
-2022-08-22 00:00:00+01:00,24.2,24.42,23.84,24.14,18.510080934632093,309805.0,0.0,0.0,True
-2022-08-23 00:00:00+01:00,24.2,24.2,23.34,23.42,17.9580002161585,169026.0,0.0,0.0,True
-2022-08-24 00:00:00+01:00,24.44,24.44,23.240000000000002,24.080000000000002,18.464076084922333,213735.0,0.0,0.0,True
-2022-08-25 00:00:00+01:00,24.34,24.76,24.14,24.560000000000002,18.832129897238065,103565.0,0.0,0.0,True
-2022-08-26 00:00:00+01:00,24.68,25.84,24.418798828125002,24.48,18.770789472015146,111767.0,0.0,0.0,True
-2022-08-30 00:00:00+01:00,25.0,25.32,24.28,24.64,18.893472199290684,114667.0,0.0,0.0,True
-2022-08-31 00:00:00+01:00,24.3,25.14,24.26,24.86,19.062165406765097,159278.0,0.0,0.0,True
-2022-09-01 00:00:00+01:00,24.84,24.84,23.28,23.5,18.019344395040825,75741.0,0.0,0.0,True
-2022-09-02 00:00:00+01:00,23.8,23.900000000000002,23.32,23.86,18.29538663110733,161878.0,0.0,0.0,True
-2022-09-05 00:00:00+01:00,23.54,24.04,23.19093994140625,23.5,18.019344395040825,89772.0,0.0,0.0,True
-2022-09-06 00:00:00+01:00,23.54,24.02,23.31,23.580000000000002,18.080686697093444,71477.0,0.0,0.0,True
-2022-09-07 00:00:00+01:00,23.0,23.72,23.0,23.48,18.004006942697963,97993.0,0.0,0.0,True
-2022-09-08 00:00:00+01:00,23.400000000000002,23.86,23.12,23.86,18.29538663110733,192900.0,0.0,0.0,True
-2022-09-09 00:00:00+01:00,23.7,24.240000000000002,23.67845947265625,24.16,18.52542026380466,59221.0,0.0,0.0,True
-2022-09-12 00:00:00+01:00,24.400000000000002,24.400000000000002,23.82,24.04,18.433404933896025,76307.0,0.0,0.0,True
-2022-09-13 00:00:00+01:00,24.0,24.76,23.66,23.66,18.142027122316367,155869.0,0.0,0.0,True
-2022-09-14 00:00:00+01:00,23.66,24.34,23.54,23.84,18.280047301934765,120233.0,0.0,0.0,True
-2022-09-15 00:00:00+01:00,23.22,23.88,23.18,23.34,17.896657914105877,297665.0,0.0,0.0,True
-2022-09-16 00:00:00+01:00,23.26,23.32,22.900000000000002,22.92,17.574610828329615,144960.0,0.0,0.0,True
-2022-09-20 00:00:00+01:00,22.94,24.04,22.6,23.5,18.019344395040825,317042.0,0.0,0.0,True
-2022-09-21 00:00:00+01:00,23.84,24.36,21.86,23.12,17.72796658346117,273104.0,0.0,0.0,True
-2022-09-22 00:00:00+01:00,23.02,23.46,22.8,23.240000000000002,17.819981913369805,330760.0,0.0,0.0,True
-2022-09-23 00:00:00+01:00,23.02,23.14,21.900000000000002,22.56,17.29857046909282,152226.0,0.0,0.0,True
-2022-09-26 00:00:00+01:00,22.1,22.98,22.1,22.68,17.39058392217175,160292.0,0.0,0.0,True
-2022-09-27 00:00:00+01:00,22.92,23.52,22.82,22.82,17.497931073934133,170562.0,0.0,0.0,True
-2022-09-28 00:00:00+01:00,22.1,23.06,21.98,22.86,17.528604101790147,115333.0,0.0,0.0,True
-2022-09-29 00:00:00+01:00,22.84,22.900000000000002,22.04,22.36,17.14521283713156,131444.0,0.0,0.0,True
-2022-09-30 00:00:00+01:00,22.7,23.18,22.0,22.98,17.62061755486908,721076.0,0.0,0.0,True
-2022-10-03 00:00:00+01:00,22.0,23.740000000000002,22.0,23.6,18.0960203957769,411048.0,0.0,0.0,True
-2022-10-04 00:00:00+01:00,23.14,24.82,23.14,24.48,18.770789472015146,359955.0,0.0,0.0,True
-2022-10-05 00:00:00+01:00,24.6,24.6,23.38,23.66,18.142027122316367,787207.0,0.0,0.0,True
-2022-10-06 00:00:00+01:00,23.3,24.36,23.3,24.16,19.148596560732347,179826.0,0.77,0.0,True
-2022-10-07 00:00:00+01:00,24.32,24.32,23.12,23.28,18.451130936862427,182711.0,0.0,0.0,True
-2022-10-10 00:00:00+01:00,23.0,23.28,22.240000000000002,22.44,17.78536759068367,138462.0,0.0,0.0,True
-2022-10-11 00:00:00+01:00,22.38,22.72,22.1,22.18,17.5792979373585,148515.0,0.0,0.0,True
-2022-10-12 00:00:00+01:00,23.12,23.12,21.88,22.16,17.563445828846387,162450.0,0.0,0.0,True
-2022-10-13 00:00:00+01:00,22.740000000000002,22.740000000000002,21.12,21.900000000000002,17.357378114854292,326778.0,0.0,0.0,True
-2022-10-14 00:00:00+01:00,22.0,22.76,21.82,22.5,17.83292197688693,161983.0,0.0,0.0,True
-2022-10-17 00:00:00+01:00,22.86,23.01260009765625,22.2,22.94,18.18165478882189,116551.0,0.0,0.0,True
-2022-10-18 00:00:00+01:00,22.26,23.38,22.26,23.12,18.32431794743168,141461.0,0.0,0.0,True
-2022-10-19 00:00:00+01:00,23.0,23.16,22.240000000000002,22.36,17.72196109596829,104562.0,0.0,0.0,True
-2022-10-20 00:00:00+01:00,22.38,22.72,21.82,22.5,17.83292197688693,152158.0,0.0,0.0,True
-2022-10-21 00:00:00+01:00,22.5,23.1,22.28,23.0,18.229207235692083,104972.0,0.0,0.0,True
-2022-10-24 00:00:00+01:00,23.02,23.900000000000002,23.0,23.38,18.53038566142378,159898.0,0.0,0.0,True
-2022-10-25 00:00:00+01:00,23.72,24.46,23.42,24.16,19.148596560732347,85381.0,0.0,0.0,True
-2022-10-26 00:00:00+01:00,24.16,24.2,23.66,24.14,19.132742512887166,117490.0,0.0,0.0,True
-2022-10-27 00:00:00+01:00,24.080000000000002,24.54,23.88,24.34,19.291259719342143,238792.0,0.0,0.0,True
-2022-10-28 00:00:00+01:00,24.1,24.22,23.719599609375,24.080000000000002,19.085190066016974,122712.0,0.0,0.0,True
-2022-10-31 00:00:00+00:00,24.26,24.46,23.66,24.1,19.101040235196017,102273.0,0.0,0.0,True
-2022-11-01 00:00:00+00:00,24.5,24.94,24.02,24.22,19.19614900760254,72028.0,0.0,0.0,True
-2022-11-02 00:00:00+00:00,24.1,25.0,23.92,24.64,19.52902971102539,145464.0,0.0,0.0,True
-2022-11-03 00:00:00+00:00,24.28,24.72,23.88,24.04,19.053485848992747,73546.0,0.0,0.0,True
-2022-11-04 00:00:00+00:00,24.240000000000002,25.080000000000002,23.60639892578125,24.28,19.24370339380581,69077.0,0.0,0.0,True
-2022-11-07 00:00:00+00:00,24.22,25.080000000000002,24.02,24.900000000000002,19.735099364350557,124283.0,0.0,0.0,True
-2022-11-08 00:00:00+00:00,24.580000000000002,25.22,24.580000000000002,25.22,19.988723403878986,153287.0,0.0,0.0,True
-2022-11-09 00:00:00+00:00,24.98,25.22,24.88,24.98,19.798505859065934,100019.0,0.0,0.0,True
-2022-11-10 00:00:00+00:00,24.82,26.54,24.64,26.2,20.76544763097639,132777.0,0.0,0.0,True
-2022-11-11 00:00:00+00:00,26.36,26.86,26.16,26.580000000000002,21.066624117375014,219220.0,0.0,0.0,True
-2022-11-14 00:00:00+00:00,26.3,27.1,26.26,26.96,21.36780254310671,128692.0,0.0,0.0,True
-2022-11-15 00:00:00+00:00,26.48,27.16,26.14,26.92,21.336100265415556,186824.0,0.0,0.0,True
-2022-11-16 00:00:00+00:00,27.02,27.04,26.38,26.52,21.01906973117175,107714.0,0.0,0.0,True
-2022-11-17 00:00:00+00:00,26.76,26.76,25.8,26.7,21.16173482911461,111413.0,0.0,0.0,True
-2022-11-18 00:00:00+00:00,26.88,27.1,26.32,27.1,21.47876342402535,127583.0,0.0,0.0,True
-2022-11-21 00:00:00+00:00,27.96,29.15199951171875,27.43699951171875,27.740000000000002,21.986009563749136,517109.0,0.0,0.0,True
-2022-11-22 00:00:00+00:00,28.0,28.0,26.86,27.66,21.922605008366833,209083.0,0.0,0.0,True
-2022-11-23 00:00:00+00:00,27.6,28.34,27.5,28.34,22.461555365114847,458322.0,0.0,0.0,True
-2022-11-24 00:00:00+00:00,29.0,29.26,27.6,28.8,22.826138346228845,189652.0,0.0,0.0,True
-2022-11-25 00:00:00+00:00,28.400000000000002,29.03300048828125,28.400000000000002,28.900000000000002,22.905396949456335,146017.0,0.0,0.0,True
-2022-11-28 00:00:00+00:00,28.7,29.1,28.0,29.1,23.063912216578238,255817.0,0.0,0.0,True
-2022-11-29 00:00:00+00:00,29.080000000000002,29.14,28.8,28.900000000000002,22.905396949456335,204232.0,0.0,0.0,True
-2022-11-30 00:00:00+00:00,28.76,29.62,28.76,29.5,23.380940811488976,538520.0,0.0,0.0,True
-2022-12-01 00:00:00+00:00,29.68,29.900000000000002,29.060000000000002,29.76,23.58701240414721,188618.0,0.0,0.0,True
-2022-12-02 00:00:00+00:00,29.88,30.560000000000002,29.3,29.48,23.365090642309934,384388.0,0.0,0.0,True
-2022-12-05 00:00:00+00:00,29.36,29.92,28.26,28.28,22.414000978911588,225089.0,0.0,0.0,True
-2022-12-06 00:00:00+00:00,28.1,28.48,27.78,27.94,22.144526770204113,320011.0,0.0,0.0,True
-2022-12-07 00:00:00+00:00,27.92,28.2,27.64,27.94,22.144526770204113,341034.0,0.0,0.0,True
-2022-12-08 00:00:00+00:00,27.78,28.080000000000002,27.72,27.92,22.128676601025074,219670.0,0.0,0.0,True
-2022-12-09 00:00:00+00:00,27.400000000000002,28.0,27.400000000000002,28.0,22.19208115640738,138547.0,0.0,0.0,True
-2022-12-12 00:00:00+00:00,28.400000000000002,28.76300048828125,27.72,28.240000000000002,22.38229870122043,128168.0,0.0,0.0,True
-2022-12-13 00:00:00+00:00,28.34,29.1,27.86,28.38,22.49325958213907,263580.0,0.0,0.0,True
-2022-12-14 00:00:00+00:00,28.0,28.36,27.86,28.22,22.36644659270832,62627.0,0.0,0.0,True
-2022-12-15 00:00:00+00:00,27.900000000000002,28.18,27.54,27.54,21.827496235960307,256065.0,0.0,0.0,True
-2022-12-16 00:00:00+00:00,27.5,27.96,27.080000000000002,27.400000000000002,21.71653729437474,147966.0,0.0,0.0,True
-2022-12-19 00:00:00+00:00,27.52,27.9739990234375,27.38,27.52,21.811644127448197,62241.0,0.0,0.0,True
-2022-12-20 00:00:00+00:00,27.5,27.62,26.8,27.38,21.700685185862625,116737.0,0.0,0.0,True
-2022-12-21 00:00:00+00:00,27.64,28.1,27.24030029296875,27.86,22.08112027548874,47330.0,0.0,0.0,True
-2022-12-22 00:00:00+00:00,27.86,28.26,27.3,27.48,21.779943789090108,59975.0,0.0,0.0,True
-2022-12-23 00:00:00+00:00,28.26,28.26,27.240000000000002,27.46,21.764091680578,37424.0,0.0,0.0,True
-2022-12-28 00:00:00+00:00,27.44,27.7,27.22,27.42,21.732387463553778,39217.0,0.0,0.0,True
-2022-12-29 00:00:00+00:00,27.04,27.66,27.02,27.62,21.890902730675684,96876.0,0.0,0.0,True
-2022-12-30 00:00:00+00:00,26.96,27.66,26.96,27.240000000000002,21.589724304943985,23796.0,0.0,0.0,True
-2023-01-03 00:00:00+00:00,27.2,28.22,26.64,27.66,21.922605008366833,68033.0,0.0,0.0,True
-2023-01-04 00:00:00+00:00,27.54,27.98,27.1572998046875,27.88,22.096972384000846,68241.0,0.0,0.0,True
-2023-01-05 00:00:00+00:00,27.76,28.3,27.562900390625,28.04,22.22378343409853,99643.0,0.0,0.0,True
-2023-01-06 00:00:00+00:00,27.68,28.72,27.68,28.6,22.667626957773088,132308.0,0.0,0.0,True
-2023-01-09 00:00:00+00:00,27.0,28.72,26.529279785156252,28.0,22.19208115640738,144894.0,0.0,0.0,True
-2023-01-10 00:00:00+00:00,29.0,29.0,27.42,27.560000000000002,21.843346405139346,108914.0,0.0,0.0,True
-2023-01-11 00:00:00+00:00,28.8,28.8,27.36,28.32,22.445705195935805,117605.0,0.0,0.0,True
-2023-01-12 00:00:00+00:00,28.0,28.16,26.67,26.98,21.38365271228575,394851.0,0.0,0.0,True
-2023-01-13 00:00:00+00:00,26.76,27.0839990234375,25.400000000000002,25.6,20.28990182961068,356966.0,0.0,0.0,True
-2023-01-16 00:00:00+00:00,25.0,26.080000000000002,24.86,25.18,19.95702112618783,336471.0,0.0,0.0,True
-2023-01-17 00:00:00+00:00,25.22,25.400000000000002,24.92,25.3,20.05212795926129,221386.0,0.0,0.0,True
-2023-01-18 00:00:00+00:00,25.66,26.78,25.37659912109375,26.240000000000002,20.79715184800061,1025972.0,0.0,0.0,True
-2023-01-19 00:00:00+00:00,27.0,27.0,25.98,26.62,21.098328334399234,102617.0,0.0,0.0,True
-2023-01-20 00:00:00+00:00,26.72,27.0,26.34,26.44,20.955663236456374,192758.0,0.0,0.0,True
-2023-01-23 00:00:00+00:00,26.48,26.650000000000002,25.86,26.12,20.702041136261013,159375.0,0.0,0.0,True
-2023-01-24 00:00:00+00:00,26.3,26.44,25.88,26.060000000000002,20.654486750057753,285494.0,0.0,0.0,True
-2023-01-25 00:00:00+00:00,26.5,28.04,26.18,27.740000000000002,21.986009563749136,379047.0,0.0,0.0,True
-2023-01-26 00:00:00+00:00,27.86,28.26,27.66,27.740000000000002,21.986009563749136,234863.0,0.0,0.0,True
-2023-01-27 00:00:00+00:00,27.900000000000002,28.48,27.44,28.44,22.540812029009263,96625.0,0.0,0.0,True
-2023-01-30 00:00:00+00:00,28.14,28.68,27.88,28.16,22.318892206505055,169732.0,0.0,0.0,True
-2023-01-31 00:00:00+00:00,28.060000000000002,28.400000000000002,27.84,28.400000000000002,22.509109751318114,250688.0,0.0,0.0,True
-2023-02-01 00:00:00+00:00,28.2,28.72,27.400000000000002,28.34,22.461555365114847,97416.0,0.0,0.0,True
-2023-02-02 00:00:00+00:00,28.68,29.560000000000002,28.1,29.2,23.143168880472654,245261.0,0.0,0.0,True
-2023-02-03 00:00:00+00:00,29.66,29.7,28.8,29.28,23.20657343585496,211695.0,0.0,0.0,True
-2023-02-06 00:00:00+00:00,29.02,29.48,28.92597900390625,29.04,23.016357830374975,78978.0,0.0,0.0,True
-2023-02-07 00:00:00+00:00,28.2,28.98,27.7,28.26,22.39814887039947,327488.0,0.0,0.0,True
-2023-02-08 00:00:00+00:00,28.7,28.7,28.0,28.36,22.477405534293887,88715.0,0.0,0.0,True
-2023-02-09 00:00:00+00:00,29.0,29.0,28.44,28.7,22.74688168233443,113023.0,0.0,0.0,True
-2023-02-10 00:00:00+00:00,28.8,28.89,28.02,28.02,22.20793326491949,169490.0,0.0,0.0,True
-2023-02-13 00:00:00+00:00,27.900000000000002,28.38,27.36,28.38,22.49325958213907,140602.0,0.0,0.0,True
-2023-02-14 00:00:00+00:00,27.060000000000002,28.560000000000002,27.060000000000002,28.0,22.19208115640738,107333.0,0.0,0.0,True
-2023-02-15 00:00:00+00:00,28.18,28.900000000000002,27.724599609375,28.84,22.85784256325307,129853.0,0.0,0.0,True
-2023-02-16 00:00:00+00:00,27.3,29.240000000000002,27.3,29.12,23.07976432509035,63977.0,0.0,0.0,True
-2023-02-17 00:00:00+00:00,29.96,29.96,28.5,28.5,22.588368354545597,75842.0,0.0,0.0,True
-2023-02-20 00:00:00+00:00,28.400000000000002,28.92,28.3,28.900000000000002,22.905396949456335,44533.0,0.0,0.0,True
-2023-02-21 00:00:00+00:00,28.580000000000002,29.14,28.580000000000002,28.8,22.826138346228845,176561.0,0.0,0.0,True
-2023-02-22 00:00:00+00:00,28.900000000000002,28.900000000000002,28.48,28.76,22.794438007870767,146264.0,0.0,0.0,True
-2023-02-23 00:00:00+00:00,28.82,29.34,28.66,28.88,22.88954484094422,86655.0,0.0,0.0,True
-2023-02-24 00:00:00+00:00,28.98,28.98,28.240000000000002,28.42,22.524961859830224,69783.0,0.0,0.0,True
-2023-02-27 00:00:00+00:00,28.68,29.060000000000002,28.1,28.84,22.85784256325307,78772.0,0.0,0.0,True
-2023-02-28 00:00:00+00:00,28.62,29.1,28.580000000000002,28.92,22.921249057968446,386853.0,0.0,0.0,True
-2023-03-01 00:00:00+00:00,28.92,29.72,28.86,29.36,23.269979930570333,106416.0,0.0,0.0,True
-2023-03-02 00:00:00+00:00,29.8,29.82,28.92,29.62,23.47605152322857,60874.0,0.0,0.0,True
-2023-03-03 00:00:00+00:00,29.8,29.92,29.22,29.44,23.33338836461878,59389.0,0.0,0.0,True
-2023-03-06 00:00:00+00:00,29.46,29.54,29.02,29.240000000000002,23.174873097496874,68220.0,0.0,0.0,True
-2023-03-07 00:00:00+00:00,28.5,29.6,28.5,29.400000000000002,23.301684147594557,69588.0,0.0,0.0,True
-2023-03-08 00:00:00+00:00,28.92,29.900000000000002,28.68280029296875,29.64,23.491901692407613,57394.0,0.0,0.0,True
-2023-03-09 00:00:00+00:00,29.400000000000002,30.0,29.283999023437502,29.92,23.713823454244892,85081.0,0.0,0.0,True
-2023-03-10 00:00:00+00:00,30.0,30.0,29.0,29.560000000000002,23.428497137025307,121079.0,0.0,0.0,True
-2023-03-13 00:00:00+00:00,29.26,29.48,28.48,28.48,22.572516246033487,451156.0,0.0,0.0,True
-2023-03-14 00:00:00+00:00,28.5,29.02,28.28,29.02,23.000505721862865,173562.0,0.0,0.0,True
-2023-03-15 00:00:00+00:00,28.900000000000002,28.9418505859375,25.46,26.46,20.97151728430156,646146.0,0.0,0.0,True
-2023-03-16 00:00:00+00:00,26.14,26.88,26.14,26.48,20.987367453480598,240692.0,0.0,0.0,True
-2023-03-17 00:00:00+00:00,26.72,27.580000000000002,26.42,26.42,20.93981306727734,145813.0,0.0,0.0,True
-2023-03-20 00:00:00+00:00,26.02,27.28,25.82,26.88,21.304397987724403,156224.0,0.0,0.0,True
-2023-03-21 00:00:00+00:00,27.12,27.26,26.6,27.2,21.55802008791976,101085.0,0.0,0.0,True
-2023-03-22 00:00:00+00:00,27.04,27.28,26.68,27.060000000000002,21.44705920700112,61646.0,0.0,0.0,True
-2023-03-23 00:00:00+00:00,27.46,27.84,27.0,27.76,22.001863611594324,238904.0,0.0,0.0,True
-2023-03-24 00:00:00+00:00,27.66,27.8639990234375,27.18,27.7,21.954309225391057,151064.0,0.0,0.0,True
-2023-03-27 00:00:00+01:00,27.98,28.14,27.0,27.060000000000002,21.44705920700112,242115.0,0.0,0.0,True
-2023-03-28 00:00:00+01:00,27.12,27.12,26.34,26.6,21.082476225887127,162045.0,0.0,0.0,True
-2023-03-29 00:00:00+01:00,26.64,27.46,26.38,27.240000000000002,21.589724304943985,219929.0,0.0,0.0,True
-2023-03-30 00:00:00+01:00,27.76,29.080000000000002,27.650000000000002,28.080000000000002,22.255487651122753,285091.0,0.0,0.0,True
-2023-03-31 00:00:00+01:00,28.1,28.14,27.400000000000002,27.580000000000002,21.85919851365146,143041.0,0.0,0.0,True
-2023-04-03 00:00:00+01:00,27.580000000000002,27.580000000000002,27.14,27.26,21.6055764134561,100038.0,0.0,0.0,True
-2023-04-04 00:00:00+01:00,27.14,27.5535400390625,27.04,27.14,21.5104657017165,89315.0,0.0,0.0,True
-2023-04-05 00:00:00+01:00,27.6,27.8,25.48,25.5,20.21064516571627,174325.0,0.0,0.0,True
-2023-04-06 00:00:00+01:00,25.6,26.03199951171875,25.46,26.0,20.606932363854487,163437.0,0.0,0.0,True
-2023-04-11 00:00:00+01:00,26.0,26.580000000000002,25.86,26.22,20.781297800155432,148621.0,0.0,0.0,True
-2023-04-12 00:00:00+01:00,26.68,27.0,26.02,26.64,21.114180442911348,118071.0,0.0,0.0,True
-2023-04-13 00:00:00+01:00,26.96,27.400000000000002,26.68,27.18,21.542169918740722,338659.0,0.0,0.0,True
-2023-04-14 00:00:00+01:00,27.5,27.86,26.72,26.72,21.177584998293653,188709.0,0.0,0.0,True
-2023-04-17 00:00:00+01:00,26.78,27.060000000000002,26.0356005859375,26.98,21.38365271228575,260010.0,0.0,0.0,True
-2023-04-18 00:00:00+01:00,28.0,28.0,26.86,27.2,21.55802008791976,110566.0,0.0,0.0,True
-2023-04-19 00:00:00+01:00,26.8,27.38,26.72,27.240000000000002,21.589724304943985,238055.0,0.0,0.0,True
-2023-04-20 00:00:00+01:00,27.78,27.78,26.66,26.66,21.130030612090387,136925.0,0.0,0.0,True
-2023-04-21 00:00:00+01:00,26.5,27.400000000000002,26.48,27.02,21.415356929309976,102818.0,0.0,0.0,True
-2023-04-24 00:00:00+01:00,26.400000000000002,27.36,26.400000000000002,27.0,21.399506760130933,53770.0,0.0,0.0,True
-2023-04-25 00:00:00+01:00,26.78,27.34,26.7,26.96,21.36780254310671,584252.0,0.0,0.0,True
-2023-04-26 00:00:00+01:00,26.78,26.82,26.32,26.64,21.114180442911348,82215.0,0.0,0.0,True
-2023-04-27 00:00:00+01:00,26.14,26.78,26.14,26.76,21.209289215317877,72994.0,0.0,0.0,True
-2023-04-28 00:00:00+01:00,27.18,27.18,26.62,27.0,21.399506760130933,63114.0,0.0,0.0,True
-2023-05-02 00:00:00+01:00,26.400000000000002,27.095419921875,26.34,26.34,20.87640657256196,142978.0,0.0,0.0,True
-2023-05-03 00:00:00+01:00,26.42,26.5,24.96,25.1,19.893616570805527,350646.0,0.0,0.0,True
-2023-05-04 00:00:00+01:00,25.0,25.080000000000002,22.68,22.68,17.975585135496722,1493890.0,0.0,0.0,True
-2023-05-05 00:00:00+01:00,22.6,22.7,21.92,22.0,17.43663477874871,582476.0,0.0,0.0,True
-2023-05-09 00:00:00+01:00,22.5,22.84,21.75010009765625,22.5,17.83292197688693,529565.0,0.0,0.0,True
-2023-05-10 00:00:00+01:00,22.5,22.8,21.78,21.8,17.27811951162681,315844.0,0.0,0.0,True
-2023-05-11 00:00:00+01:00,21.7,23.38,21.7,23.06,18.276763561228417,489035.0,0.0,0.0,True
-2023-05-12 00:00:00+01:00,23.34,23.38,22.72,23.38,18.53038566142378,283610.0,0.0,0.0,True
-2023-05-15 00:00:00+01:00,23.04,23.62,23.04,23.5,18.625496373163376,388932.0,0.0,0.0,True
-2023-05-16 00:00:00+01:00,23.36,23.54,23.02,23.3,18.466981106041473,395998.0,0.0,0.0,True
-2023-05-17 00:00:00+01:00,23.56,23.580000000000002,22.68,22.84,18.102396185594404,423318.0,0.0,0.0,True
-2023-05-18 00:00:00+01:00,22.96,23.240000000000002,22.42,22.72,18.007289352520946,319457.0,0.0,0.0,True
-2023-05-19 00:00:00+01:00,22.5,22.9019091796875,22.04,22.46,17.80121775986271,421569.0,0.0,0.0,True
-2023-05-22 00:00:00+01:00,22.78,22.84,22.38,22.8,18.07069390790325,166747.0,0.0,0.0,True
-2023-05-23 00:00:00+01:00,23.2,23.22,22.38,22.38,17.737811265147336,309329.0,0.0,0.0,True
-2023-05-24 00:00:00+01:00,22.02,22.33969970703125,20.56,20.94,16.59650793560207,512827.0,0.0,0.0,True
-2023-05-25 00:00:00+01:00,20.52,21.0,20.32,20.32,16.10511002572425,729567.0,0.0,0.0,True
-2023-05-26 00:00:00+01:00,20.88,20.88,19.72,19.78,15.677119580228338,492367.0,0.0,0.0,True
-2023-05-30 00:00:00+01:00,19.92,20.0152001953125,19.35,19.41,15.383867208752699,690501.0,0.0,0.0,True
-2023-05-31 00:00:00+01:00,20.2,20.2,19.19,19.45,15.415570456110391,317942.0,0.0,0.0,True
-2023-06-01 00:00:00+01:00,19.66,19.740000000000002,19.150000000000002,19.47,15.431421942440583,304732.0,0.0,0.0,True
-2023-06-02 00:00:00+01:00,20.22,20.22,19.37,19.82,15.708823639936469,278304.0,0.0,0.0,True
-2023-06-05 00:00:00+01:00,19.62,19.72,17.92,18.17,15.690483393097194,461315.0,1.6,0.0,True
-2023-06-06 00:00:00+01:00,18.07,18.18,17.29,17.45,15.06873653968668,828912.0,0.0,0.0,True
-2023-06-07 00:00:00+01:00,17.73,18.41,17.73,18.32,15.820013943573676,554274.0,0.0,0.0,True
-2023-06-08 00:00:00+01:00,17.61,18.6747998046875,17.61,18.22,15.733660243256018,270247.0,0.0,0.0,True
-2023-06-09 00:00:00+01:00,18.330000000000002,18.63,17.93,18.52,15.992722399826066,341997.0,0.0,0.0,True
-2023-06-12 00:00:00+01:00,18.19,19.12,18.143199462890625,19.12,16.51084354611489,357760.0,0.0,0.0,True
-2023-06-13 00:00:00+01:00,19.2,19.77,18.94,19.400000000000002,16.75263475149799,648503.0,0.0,0.0,True
-2023-06-14 00:00:00+01:00,19.740000000000002,19.92,19.27,19.6,16.925343207750384,362355.0,0.0,0.0,True
-2023-06-15 00:00:00+01:00,19.6,19.775000000000002,18.96,19.18,16.56265639967574,437837.0,0.0,0.0,True
-2023-06-16 00:00:00+01:00,19.87,19.87,19.065,19.41,16.76126969928292,635867.0,0.0,0.0,True
-2023-06-19 00:00:00+01:00,19.37,19.37,18.93,18.95,16.364043100068553,343892.0,0.0,0.0,True
-2023-06-20 00:00:00+01:00,19.39,19.39,18.61,18.67,16.12225189468546,240994.0,0.0,0.0,True
-2023-06-21 00:00:00+01:00,19.45,19.469520263671875,18.36,18.91,16.329501197694658,276880.0,0.0,0.0,True
-2023-06-22 00:00:00+01:00,18.95,19.162230224609374,18.37,18.8,16.234512549592075,186330.0,0.0,0.0,True
-2023-06-23 00:00:00+01:00,18.6,19.04,18.6,18.87,16.294959295320766,189003.0,0.0,0.0,True
-2023-06-26 00:00:00+01:00,19.0,19.04719970703125,18.32,18.57,16.035899249984894,411820.0,0.0,0.0,True
-2023-06-27 00:00:00+01:00,18.650000000000002,18.77,17.669100341796874,18.03,15.569588846022732,538190.0,0.0,0.0,True
-2023-06-28 00:00:00+01:00,18.0,18.2,17.92,18.2,15.716389292069072,210732.0,0.0,0.0,True
-2023-06-29 00:00:00+01:00,18.7,18.7,17.54,17.59,15.189631086761139,253575.0,0.0,0.0,True
-2023-06-30 00:00:00+01:00,17.67,18.11,17.43,18.1,15.63003559175142,150826.0,0.0,0.0,True
-2023-07-03 00:00:00+01:00,17.900000000000002,18.36,17.88,18.330000000000002,15.8286488913586,791780.0,0.0,0.0,True
-2023-07-04 00:00:00+01:00,18.400000000000002,18.522430419921875,18.12,18.42,15.906367643891324,287173.0,0.0,0.0,True
-2023-07-05 00:00:00+01:00,18.56,18.580000000000002,18.255999755859374,18.36,15.85455479033048,160679.0,0.0,0.0,True
-2023-07-06 00:00:00+01:00,18.5,18.54,17.240000000000002,17.51,15.120548337630435,281127.0,0.0,0.0,True
-2023-07-07 00:00:00+01:00,17.51,17.51,16.69,17.1,14.766497532957805,290241.0,0.0,0.0,True
-2023-07-10 00:00:00+01:00,17.240000000000002,17.77,16.87,16.95,14.636966982481328,339775.0,0.0,0.0,True
-2023-07-11 00:00:00+01:00,17.5,17.5,16.12,16.14,13.93750137653809,371758.0,0.0,0.0,True
-2023-07-12 00:00:00+01:00,16.15,17.14,16.12,16.88,14.576519181135554,494734.0,0.0,0.0,True
-2023-07-13 00:00:00+01:00,17.0,17.330000000000002,16.85,16.89,14.585155184537573,155535.0,0.0,0.0,True
-2023-07-14 00:00:00+01:00,16.8,17.55,16.62,17.12,14.783768484144755,208870.0,0.0,0.0,True
-2023-07-17 00:00:00+01:00,17.0,17.17,16.740000000000002,16.9,14.593790132322503,155692.0,0.0,0.0,True
-2023-07-18 00:00:00+01:00,17.72,17.72,16.64,16.68,14.403811780500247,132785.0,0.0,0.0,True
-2023-07-19 00:00:00+01:00,17.1,17.62,16.87530029296875,17.62,15.215536985733017,396633.0,0.0,0.0,True
-2023-07-20 00:00:00+01:00,17.82,17.97,17.59,17.63,15.224172989135036,372626.0,0.0,0.0,True
-2023-07-21 00:00:00+01:00,17.86,18.063800048828124,17.6,17.88,15.44005723992917,257740.0,0.0,0.0,True
-2023-07-24 00:00:00+01:00,17.6,18.041500244140625,17.48,17.71,15.29325573826574,360104.0,0.0,0.0,True
-2023-07-25 00:00:00+01:00,17.740000000000002,18.22,17.57154052734375,17.86,15.422786288742218,209875.0,0.0,0.0,True
-2023-07-26 00:00:00+01:00,17.77,18.13,17.71,17.78,15.353704595228603,282136.0,0.0,0.0,True
-2023-07-27 00:00:00+01:00,17.78,18.19,17.7,18.06,15.595493689377525,198157.0,0.0,0.0,True
-2023-07-28 00:00:00+01:00,18.25,18.25,17.900000000000002,18.0,15.543681891433767,134365.0,0.0,0.0,True
-2023-07-31 00:00:00+01:00,17.990000000000002,18.0,17.448499755859377,17.62,15.215536985733017,266973.0,0.0,0.0,True
-2023-08-01 00:00:00+01:00,17.44,17.44,14.77,15.8,13.643898373211236,1707985.0,0.0,0.0,True
-2023-08-02 00:00:00+01:00,15.700000000000001,16.15,15.700000000000001,15.860000000000001,13.695711226772081,597276.0,0.0,0.0,True
-2023-08-03 00:00:00+01:00,15.700000000000001,15.875,15.56,15.66,13.523003826136776,720097.0,0.0,0.0,True
-2023-08-04 00:00:00+01:00,15.89,15.89,15.2875,15.450000000000001,13.341660422099453,130835.0,0.0,0.0,True
-2023-08-07 00:00:00+01:00,15.23,15.73,14.88,14.98,12.935797819483069,133228.0,0.0,0.0,True
-2023-08-08 00:00:00+01:00,14.8,15.18,14.65,14.93,12.892619913707154,187614.0,0.0,0.0,True
-2023-08-09 00:00:00+01:00,15.72,15.9,14.955999755859375,15.06,13.004880568613773,384876.0,0.0,0.0,True
-2023-08-10 00:00:00+01:00,15.06,15.11,14.450000000000001,14.5,12.521299213464665,509873.0,0.0,0.0,True
-2023-08-11 00:00:00+01:00,15.0,15.07,14.6,14.75,12.737183464258797,498841.0,0.0,0.0,True
-2023-08-14 00:00:00+01:00,14.75,15.32,14.75,15.11,13.0480574187726,202173.0,0.0,0.0,True
-2023-08-15 00:00:00+01:00,15.120000000000001,15.18,14.68,14.84,12.81490221679152,167723.0,0.0,0.0,True
-2023-08-16 00:00:00+01:00,14.89,15.08,14.51,14.790000000000001,12.771725366632696,172976.0,0.0,0.0,True
-2023-08-17 00:00:00+01:00,14.790000000000001,15.32,14.47,14.950000000000001,12.909890864894102,145057.0,0.0,0.0,True
-2023-08-18 00:00:00+01:00,14.4,14.96,14.4,14.85,12.823538220193539,246954.0,0.0,0.0,True
-2023-08-21 00:00:00+01:00,15.16,15.16,14.73,14.85,12.823538220193539,208997.0,0.0,0.0,True
-2023-08-22 00:00:00+01:00,14.82,15.17,14.75,14.85,12.823538220193539,89056.0,0.0,0.0,True
-2023-08-23 00:00:00+01:00,14.56,15.05,14.56,14.71,12.702641561884901,494801.0,0.0,0.0,True
-2023-08-24 00:00:00+01:00,14.98,14.993909912109375,14.71,14.71,12.702641561884901,102654.0,0.0,0.0,True
-2023-08-25 00:00:00+01:00,15.44,15.44,14.700000000000001,14.77,12.754454415445746,136975.0,0.0,0.0,True
-2023-08-29 00:00:00+01:00,14.96,15.52,14.85,15.49,13.376201268856262,146752.0,0.0,0.0,True
-2023-08-30 00:00:00+01:00,15.49,15.624000244140625,15.18,15.38,13.28121262075368,259486.0,0.0,0.0,True
-2023-08-31 00:00:00+01:00,15.35,15.51,15.18,15.25,13.168953021464148,312027.0,0.0,0.0,True
-2023-09-01 00:00:00+01:00,15.38,15.41,14.950000000000001,14.99,12.944432767268001,122627.0,0.0,0.0,True
-2023-09-04 00:00:00+01:00,14.99,15.1,14.83,14.83,12.80626726900659,138450.0,0.0,0.0,True
-2023-09-05 00:00:00+01:00,14.8,14.83199951171875,14.42,14.66,12.659464711726075,173206.0,0.0,0.0,True
-2023-09-06 00:00:00+01:00,15.0,15.040000000000001,14.44,14.81,12.788996317819642,194887.0,0.0,0.0,True
-2023-09-07 00:00:00+01:00,14.83,15.6,14.46,15.530000000000001,13.410743171230159,243553.0,0.0,0.0,True
-2023-09-08 00:00:00+01:00,15.0,15.89,15.0,15.89,13.721617125743958,339473.0,0.0,0.0,True
-2023-09-11 00:00:00+01:00,16.22,16.32,14.68,14.73,12.719912513071849,274162.0,0.0,0.0,True
-2023-09-12 00:00:00+01:00,14.4,14.55,12.620000000000001,14.05,12.13270756203523,695308.0,0.0,0.0,True
-2023-09-13 00:00:00+01:00,14.09,15.47,13.790000000000001,15.44,13.333024418697434,359608.0,0.0,0.0,True
-2023-09-14 00:00:00+01:00,15.5,16.126199951171877,15.5,16.07,13.877053575192315,818615.0,0.0,0.0,True
-2023-09-15 00:00:00+01:00,16.31,16.32,15.57,15.63,13.497097927164898,470826.0,0.0,0.0,True
-2023-09-18 00:00:00+01:00,15.44,15.85,15.169410400390625,15.22,13.143046066875181,388020.0,0.0,0.0,True
-2023-09-19 00:00:00+01:00,15.11,15.58,14.9039599609375,15.32,13.229400822809922,244500.0,0.0,0.0,True
-2023-09-20 00:00:00+01:00,15.44,16.02,15.44,15.88,13.712982177959029,260949.0,0.0,0.0,True
-2023-09-21 00:00:00+01:00,15.610000000000001,15.83,15.0,15.19,13.117140167903305,380456.0,0.0,0.0,True
-2023-09-22 00:00:00+01:00,15.1,15.48,15.1,15.35,13.255306721781801,144967.0,0.0,0.0,True
-2023-09-25 00:00:00+01:00,15.35,15.6,14.960999755859376,15.19,13.117140167903305,326513.0,0.0,0.0,True
-2023-09-26 00:00:00+01:00,15.58,15.58,14.58,14.63,12.633558812754195,139051.0,0.0,0.0,True
-2023-09-27 00:00:00+01:00,14.58,15.34,14.48,15.13,13.065328369959548,140879.0,0.0,0.0,True
-2023-09-28 00:00:00+01:00,15.120000000000001,15.19,14.83,15.0,12.953067715052928,345116.0,0.0,0.0,True
-2023-09-29 00:00:00+01:00,15.0,15.610000000000001,15.0,15.47,13.358930317669312,256397.0,0.0,0.0,True
-2023-10-02 00:00:00+01:00,15.46,15.67,14.870000000000001,15.040000000000001,12.987609617426825,291241.0,0.0,0.0,True
-2023-10-03 00:00:00+01:00,14.71,14.89,14.0,14.05,12.13270756203523,179006.0,0.0,0.0,True
-2023-10-04 00:00:00+01:00,13.83,14.290000000000001,13.77,13.81,11.925458259026028,237634.0,0.0,0.0,True
-2023-10-05 00:00:00+01:00,13.92,14.17,13.85,13.85,11.9599997746206,180284.0,0.0,0.0,True
-2023-10-06 00:00:00+01:00,14.450000000000001,14.450000000000001,13.55,13.99,12.080894818697017,116485.0,0.0,0.0,True
-2023-10-09 00:00:00+01:00,13.52,14.030000000000001,13.41,13.620000000000001,11.761386337214,136545.0,0.0,0.0,True
-2023-10-10 00:00:00+01:00,13.89,14.55,13.72,14.55,12.564476049970086,245926.0,0.0,0.0,True
-2023-10-11 00:00:00+01:00,14.32,14.52,13.450000000000001,13.52,12.438399456418825,134243.0,0.85,0.0,True
-2023-10-12 00:00:00+01:00,14.0,14.0,13.38,13.51,12.429199958107466,112363.0,0.0,0.0,True
-2023-10-13 00:00:00+01:00,13.46,13.75,13.1,13.1,12.052000296313045,264982.0,0.0,0.0,True
-2023-10-16 00:00:00+01:00,13.1,13.42699951171875,12.69,13.31,12.245199876365936,142869.0,0.0,0.0,True
-2023-10-17 00:00:00+01:00,13.21,13.479949951171875,13.09300048828125,13.370000000000001,12.300400238072205,103846.0,0.0,0.0,True
-2023-10-18 00:00:00+01:00,13.5,13.5,12.69,12.75,11.729999872278858,586500.0,0.0,0.0,True
-2023-10-19 00:00:00+01:00,12.52,13.213499755859376,12.52,13.11,12.061199794624404,200672.0,0.0,0.0,True
-2023-10-20 00:00:00+01:00,13.07,13.41,12.83,13.18,12.125599654642036,592696.0,0.0,0.0,True
-2023-10-23 00:00:00+01:00,13.25,13.4,13.0,13.33,12.263599996934692,121413.0,0.0,0.0,True
-2023-10-24 00:00:00+01:00,13.42,13.64,13.0,13.1,12.052000296313045,173527.0,0.0,0.0,True
-2023-10-25 00:00:00+01:00,13.09,13.34,12.96,13.14,12.088799413504523,113657.0,0.0,0.0,True
-2023-10-26 00:00:00+01:00,13.0,13.280000000000001,12.96,13.1,12.052000296313045,162088.0,0.0,0.0,True
-2023-10-27 00:00:00+01:00,13.1,13.16,12.85,13.0,11.959999693469262,172121.0,0.0,0.0,True
-2023-10-30 00:00:00+00:00,13.09,13.200000000000001,12.99,13.06,12.015200055175532,351486.0,0.0,0.0,True
-2023-10-31 00:00:00+00:00,13.01,13.3,13.0,13.05,12.005999432918136,380834.0,0.0,0.0,True
-2023-11-01 00:00:00+00:00,12.950000000000001,13.120000000000001,12.77843994140625,13.02,11.978399814038019,199402.0,0.0,0.0,True
-2023-11-02 00:00:00+00:00,13.1,13.46,13.040000000000001,13.34,12.272799495246051,414055.0,0.0,0.0,True
-2023-11-03 00:00:00+00:00,13.6,14.415000000000001,13.52384033203125,14.0,12.880000102176911,348357.0,0.0,0.0,True
-2023-11-06 00:00:00+00:00,14.13,14.48,13.530000000000001,13.66,12.56720030040012,95127.0,0.0,0.0,True
-2023-11-07 00:00:00+00:00,13.5,13.93,13.5,13.84,12.732800261572894,164937.0,0.0,0.0,True
-2023-11-08 00:00:00+00:00,13.74,14.0456005859375,13.69,13.8,12.696000020435381,275526.0,0.0,0.0,True
-2023-11-09 00:00:00+00:00,13.950000000000001,14.19,13.71550048828125,13.85,12.741999759884255,308199.0,0.0,0.0,True
-2023-11-10 00:00:00+00:00,13.73,13.834399414062501,13.22,13.620000000000001,12.530400059262607,211940.0,0.0,0.0,True
-2023-11-13 00:00:00+00:00,13.5,13.72,13.4,13.55,12.466000199244979,206951.0,0.0,0.0,True
-2023-11-14 00:00:00+00:00,13.5,14.41,13.42,14.14,13.008799822212172,714971.0,0.0,0.0,True
-2023-11-15 00:00:00+00:00,14.290000000000001,14.99,14.030000000000001,14.52,13.358399865126476,430958.0,0.0,0.0,True
-2023-11-16 00:00:00+00:00,14.08,14.505,14.08,14.23,13.091599802798559,193252.0,0.0,0.0,True
-2023-11-17 00:00:00+00:00,14.11,14.99,14.11,14.82,13.63439942576575,474070.0,0.0,0.0,True
-2023-11-20 00:00:00+00:00,14.77,15.120000000000001,14.77,14.98,13.781600390315806,127160.0,0.0,0.0,True
-2023-11-21 00:00:00+00:00,14.98,15.31,14.85,14.88,13.689599787472021,312023.0,0.0,0.0,True
-2023-11-22 00:00:00+00:00,14.84,15.19,14.8,14.94,13.744800149178293,93813.0,0.0,0.0,True
-2023-11-23 00:00:00+00:00,14.96,15.055,14.67,14.88,13.689599787472021,89248.0,0.0,0.0,True
-2023-11-24 00:00:00+00:00,14.76,14.9,14.67,14.85,13.662000168591906,118893.0,0.0,0.0,True
-2023-11-27 00:00:00+00:00,14.530000000000001,14.86,13.98,13.98,12.861599981608155,129900.0,0.0,0.0,True
-2023-11-28 00:00:00+00:00,13.84,14.14,13.19,13.34,12.272799495246051,377366.0,0.0,0.0,True
-2023-11-29 00:00:00+00:00,13.200000000000001,14.35,13.200000000000001,13.950000000000001,12.834000362728037,471577.0,0.0,0.0,True
-2023-11-30 00:00:00+00:00,13.8,14.11800048828125,13.44,13.68,12.585600420968879,348127.0,0.0,0.0,True
-2023-12-01 00:00:00+00:00,13.700000000000001,13.84,13.576400146484374,13.73,12.631600160417753,352771.0,0.0,0.0,True
-2023-12-04 00:00:00+00:00,14.0,14.0,13.120000000000001,13.16,12.107199534073278,104065.0,0.0,0.0,True
-2023-12-05 00:00:00+00:00,13.07,13.200000000000001,12.6,13.0,11.959999693469262,303748.0,0.0,0.0,True
-2023-12-06 00:00:00+00:00,12.9,13.26,12.9,13.02,11.978399814038019,681974.0,0.0,0.0,True
-2023-12-07 00:00:00+00:00,13.4,13.4,12.56,12.82,11.794399732296489,193151.0,0.0,0.0,True
-2023-12-08 00:00:00+00:00,12.85,12.98,12.64,12.76,11.73919937059022,169002.0,0.0,0.0,True
-2023-12-11 00:00:00+00:00,12.700000000000001,13.530000000000001,12.700000000000001,13.36,12.291199615814808,316496.0,0.0,0.0,True
-2023-12-12 00:00:00+00:00,13.33,13.36,12.948399658203126,13.26,12.199200136917062,279752.0,0.0,0.0,True
-2023-12-13 00:00:00+00:00,13.4,13.48,13.16,13.41,12.337199355263682,223452.0,0.0,0.0,True
-2023-12-14 00:00:00+00:00,13.8,14.59,13.74,14.3,13.155999662816189,258358.0,0.0,0.0,True
-2023-12-15 00:00:00+00:00,13.71,14.31,13.71,14.13,12.999600323900811,433550.0,0.0,0.0,True
-2023-12-18 00:00:00+00:00,14.38,15.33740966796875,13.89,15.290000000000001,14.06679944926644,256957.0,0.0,0.0,True
-2023-12-19 00:00:00+00:00,15.290000000000001,15.700000000000001,15.040000000000001,15.46,14.223199912127853,152997.0,0.0,0.0,True
-2023-12-20 00:00:00+00:00,15.75,15.92,15.33,15.83,14.563599332784761,258981.0,0.0,0.0,True
-2023-12-21 00:00:00+00:00,15.73,16.03,15.34,16.02,14.73839991621493,160788.0,0.0,0.0,True
-2023-12-22 00:00:00+00:00,16.0,16.543089599609374,15.73,16.35,15.042000219680359,183509.0,0.0,0.0,True
-2023-12-27 00:00:00+00:00,16.1,16.95,16.0,16.69,15.354800021457152,332319.0,0.0,0.0,True
-2023-12-28 00:00:00+00:00,16.29,16.95,16.0,16.6,15.272000040870765,129658.0,0.0,0.0,True
-2023-12-29 00:00:00+00:00,16.66,16.77678955078125,16.606290283203126,16.62,15.29040016143952,54474.0,0.0,0.0,True
-2024-01-02 00:00:00+00:00,16.9,16.93,15.950000000000001,15.98,14.701599675077418,433331.0,0.0,0.0,True
-2024-01-03 00:00:00+00:00,16.45,16.45,15.583499755859375,15.8,14.535999713904644,212305.0,0.0,0.0,True
-2024-01-04 00:00:00+00:00,16.18,16.2,15.32,15.5,14.260000153265366,145849.0,0.0,0.0,True
-2024-01-05 00:00:00+00:00,15.43,15.63,14.84,15.34,14.112800312661351,178331.0,0.0,0.0,True
-2024-01-08 00:00:00+00:00,15.200000000000001,15.88,15.08,15.3,14.076000071523838,93619.0,0.0,0.0,True
-2024-01-09 00:00:00+00:00,15.450000000000001,15.32,15.21,15.280000000000001,14.05759995095508,236053.0,0.0,0.0,True
-2024-01-10 00:00:00+00:00,15.21,15.51,15.120000000000001,15.16,13.947200351488577,203338.0,0.0,0.0,True
-2024-01-11 00:00:00+00:00,15.21,15.44,14.73,14.73,13.551599445179363,128350.0,0.0,0.0,True
-2024-01-12 00:00:00+00:00,14.81,15.3,14.81,15.280000000000001,14.05759995095508,126422.0,0.0,0.0,True
-2024-01-15 00:00:00+00:00,15.085,15.32,14.86,14.86,13.671199666903265,86831.0,0.0,0.0,True
-2024-01-16 00:00:00+00:00,15.08,15.66,14.91,15.39,14.158800052110225,253055.0,0.0,0.0,True
-2024-01-17 00:00:00+00:00,15.040000000000001,15.5,14.450000000000001,14.540000000000001,13.37679998569523,114336.0,0.0,0.0,True
-2024-01-18 00:00:00+00:00,14.9,15.22,14.59,15.22,14.002399589248812,175262.0,0.0,0.0,True
-2024-01-19 00:00:00+00:00,15.450000000000001,15.450000000000001,14.89,14.89,13.698800409729419,93241.0,0.0,0.0,True
-2024-01-22 00:00:00+00:00,15.11,15.15,14.835,15.05,13.846000250333434,92117.0,0.0,0.0,True
-2024-01-23 00:00:00+00:00,14.51,15.63,14.51,15.3,14.076000071523838,96389.0,0.0,0.0,True
-2024-01-24 00:00:00+00:00,15.530000000000001,15.74,15.200000000000001,15.74,14.480799352198373,278489.0,0.0,0.0,True
-2024-01-25 00:00:00+00:00,15.32,15.84550048828125,15.030000000000001,15.55,14.30599989271424,476735.0,0.0,0.0,True
-2024-01-26 00:00:00+00:00,15.66,16.11,15.26,15.99,14.710800297334815,417225.0,0.0,0.0,True
-2024-01-29 00:00:00+00:00,15.91,16.240000000000002,15.69,16.240000000000002,14.940800118525216,112434.0,0.0,0.0,True
-2024-01-30 00:00:00+00:00,16.1,16.740000000000002,16.080000000000002,16.65,15.317999780319637,156730.0,0.0,0.0,True
-2024-01-31 00:00:00+00:00,15.99,16.84,15.99,16.6,15.272000040870765,249055.0,0.0,0.0,True
-2024-02-01 00:00:00+00:00,16.55,16.89,16.44,16.78,15.437600002043538,230759.0,0.0,0.0,True
-2024-02-02 00:00:00+00:00,16.69,17.0,16.46,16.46,15.143200320835506,170565.0,0.0,0.0,True
-2024-02-05 00:00:00+00:00,16.26,16.79,16.175,16.31,15.005199978542848,130266.0,0.0,0.0,True
-2024-02-06 00:00:00+00:00,16.4,17.07,16.38,16.78,15.437600002043538,391036.0,0.0,0.0,True
-2024-02-07 00:00:00+00:00,16.7,17.16,16.55,17.09,15.72280018494021,215847.0,0.0,0.0,True
-2024-02-08 00:00:00+00:00,17.150000000000002,17.91,17.150000000000002,17.44,16.04479948502836,450151.0,0.0,0.0,True
-2024-02-09 00:00:00+00:00,17.46,17.80198974609375,17.07,17.18,15.805600165526597,242803.0,0.0,0.0,True
-2024-02-12 00:00:00+00:00,17.25,17.84,16.96,16.990000000000002,15.630799582096428,563881.0,0.0,0.0,True
-2024-02-13 00:00:00+00:00,16.85,16.885140380859376,16.330000000000002,16.51,15.189200060284378,68119.0,0.0,0.0,True
-2024-02-14 00:00:00+00:00,16.37,17.17,16.18530029296875,17.03,15.667599823233939,98220.0,0.0,0.0,True
-2024-02-15 00:00:00+00:00,16.51,17.39,16.51,16.96,15.603199963216312,102797.0,0.0,0.0,True
-2024-02-16 00:00:00+00:00,16.990000000000002,17.330000000000002,16.990000000000002,17.07,15.704400064371454,47249.0,0.0,0.0,True
-2024-02-19 00:00:00+00:00,17.07,17.271500244140626,16.82,17.14,15.768799924389086,465791.0,0.0,0.0,True
-2024-02-20 00:00:00+00:00,17.0,17.0,16.12,16.12,14.830399395112678,117840.0,0.0,0.0,True
-2024-02-21 00:00:00+00:00,16.44,16.52,16.09,16.18,14.885599756818946,616655.0,0.0,0.0,True
-2024-02-22 00:00:00+00:00,15.99,16.69,15.5,16.59,15.262799418613366,71029.0,0.0,0.0,True
-2024-02-23 00:00:00+00:00,16.61,16.66,15.9,16.2,14.903999877387704,616927.0,0.0,0.0,True
-2024-02-26 00:00:00+00:00,15.9,16.24449951171875,15.56,15.700000000000001,14.444000235006898,125089.0,0.0,0.0,True
-2024-02-27 00:00:00+00:00,15.5,15.88,15.34,15.57,14.324400013282999,506414.0,0.0,0.0,True
-2024-02-28 00:00:00+00:00,15.0,15.6,13.540000000000001,14.46,13.303199503420204,1617451.0,0.0,0.0,True
-2024-02-29 00:00:00+00:00,14.700000000000001,14.99,14.27,14.34,13.192799903953702,131744.0,0.0,0.0,True
-2024-03-01 00:00:00+00:00,14.52,14.83,14.0,14.68,13.505599705730491,710016.0,0.0,0.0,True
-2024-03-04 00:00:00+00:00,14.3,14.790000000000001,14.3,14.450000000000001,13.294000005108844,128631.0,0.0,0.0,True
-2024-03-05 00:00:00+00:00,14.43,14.5,14.13,14.3,13.155999662816189,226847.0,0.0,0.0,True
-2024-03-06 00:00:00+00:00,14.35,14.6,14.13,14.13,12.999600323900811,245345.0,0.0,0.0,True
-2024-03-07 00:00:00+00:00,14.36,14.36,13.55,13.55,12.466000199244979,169908.0,0.0,0.0,True
-2024-03-08 00:00:00+00:00,13.55,13.84,13.26,13.3,12.236000378054575,591778.0,0.0,0.0,True
-2024-03-11 00:00:00+00:00,13.450000000000001,13.6,13.15,13.25,12.189999514659664,537344.0,0.0,0.0,True
-2024-03-12 00:00:00+00:00,13.0,13.74,13.0,13.700000000000001,12.603999417591599,652597.0,0.0,0.0,True
-2024-03-13 00:00:00+00:00,14.5,15.65,13.521639404296875,13.72,12.622399538160355,1195682.0,0.0,0.0,True
-2024-03-14 00:00:00+00:00,13.82,14.59,13.34,14.32,13.174399783384944,1126694.0,0.0,0.0,True
-2024-03-15 00:00:00+00:00,14.3,14.56,14.02,14.26,13.119199421678676,1525658.0,0.0,0.0,True
-2024-03-18 00:00:00+00:00,14.34,14.620000000000001,14.02,14.24,13.100800425055956,462513.0,0.0,0.0,True
-2024-03-19 00:00:00+00:00,14.24,14.48,13.81,13.81,12.705199518746742,496898.0,0.0,0.0,True
-2024-03-20 00:00:00+00:00,13.83,14.02,12.780000000000001,13.33,12.263599996934692,340715.0,0.0,0.0,True
-2024-03-21 00:00:00+00:00,13.48,13.809000244140625,13.23,13.34,12.272799495246051,276189.0,0.0,0.0,True
-2024-03-22 00:00:00+00:00,13.44,13.58,13.120000000000001,13.13,12.079599915193162,477630.0,0.0,0.0,True
-2024-03-25 00:00:00+00:00,13.5,13.5,12.64,12.64,11.628799771123717,437124.0,0.0,0.0,True
-2024-03-26 00:00:00+00:00,12.64,13.0,12.410699462890625,12.56,11.555200412794726,1102700.0,0.0,0.0,True
-2024-03-27 00:00:00+00:00,12.5,12.77,12.38,12.58,11.573599409417445,1158042.0,0.0,0.0,True
-2024-03-28 00:00:00+00:00,12.68,13.32,12.455,13.02,11.978399814038019,672275.0,0.0,0.0,True
-2024-04-02 00:00:00+01:00,12.9,13.13,12.38,12.46,11.463199809950943,420287.0,0.0,0.0,True
-2024-04-03 00:00:00+01:00,12.280000000000001,12.49,11.99,12.22,11.2423994870719,460217.0,0.0,0.0,True
-2024-04-04 00:00:00+01:00,12.200000000000001,12.17,12.0,12.0,11.040000408707648,293870.0,0.0,0.0,True
-2024-04-05 00:00:00+01:00,11.98,12.037879638671875,11.6,11.65,10.717999984673462,395059.0,0.0,0.0,True
-2024-04-08 00:00:00+01:00,11.61,12.120000000000001,11.495000000000001,12.06,11.095199646467881,810772.0,0.0,0.0,True
-2024-04-09 00:00:00+01:00,12.0,12.15,11.790000000000001,11.91,10.957200428121261,413918.0,0.0,0.0,True
-2024-04-10 00:00:00+01:00,11.950000000000001,12.33,11.8725,12.01,11.049199907019009,680979.0,0.0,0.0,True
-2024-04-11 00:00:00+01:00,12.08,12.31,11.868509521484375,11.94,10.984800047001379,280220.0,0.0,0.0,True
-2024-04-12 00:00:00+01:00,12.06,12.290000000000001,11.4,11.450000000000001,10.533999902931932,359653.0,0.0,0.0,True
-2024-04-15 00:00:00+01:00,11.41,11.57,11.01,11.4,10.488000163483058,489256.0,0.0,0.0,True
-2024-04-16 00:00:00+01:00,11.200000000000001,11.78,11.07,11.51,10.589200264638203,294117.0,0.0,0.0,True
-2024-04-17 00:00:00+01:00,11.5,11.81050048828125,11.4,11.620000000000001,10.690400365793346,446216.0,0.0,0.0,True
-2024-04-18 00:00:00+01:00,11.43,11.83,11.43,11.71,10.773200346379733,280345.0,0.0,0.0,True
-2024-04-19 00:00:00+01:00,11.8,11.8,11.56,11.68,10.745599603553579,187448.0,0.0,0.0,True
-2024-04-22 00:00:00+01:00,11.5,12.06,11.5,11.72,10.782399844691094,233273.0,0.0,0.0,True
-2024-04-23 00:00:00+01:00,11.870000000000001,11.89,11.72,11.72,10.782399844691094,164436.0,0.0,0.0,True
-2024-04-24 00:00:00+01:00,12.08,12.08,11.370000000000001,11.51,10.589200264638203,185184.0,0.0,0.0,True
-2024-04-25 00:00:00+01:00,11.700000000000001,11.700000000000001,11.1,11.36,10.451199922345545,295818.0,0.0,0.0,True
-2024-04-26 00:00:00+01:00,11.31,11.64,11.230880126953124,11.39,10.478799541225662,144819.0,0.0,0.0,True
-2024-04-29 00:00:00+01:00,11.15,11.82,11.15,11.82,10.874400447534875,119071.0,0.0,0.0,True
-2024-04-30 00:00:00+01:00,11.98,11.99,11.42,11.5,10.579999642380805,199939.0,0.0,0.0,True
-2024-05-01 00:00:00+01:00,12.01,12.01,11.32,11.59,10.662799622967192,165171.0,0.0,0.0,True
-2024-05-02 00:00:00+01:00,11.57,11.66,11.3,11.66,10.727199482984823,305855.0,0.0,0.0,True
-2024-05-03 00:00:00+01:00,11.85,11.96,11.6,11.75,10.80999946357121,158727.0,0.0,0.0,True
-2024-05-07 00:00:00+01:00,12.13,12.19,11.57,11.790000000000001,10.846799704708722,116963.0,0.0,0.0,True
-2024-05-08 00:00:00+01:00,12.15,12.804000244140624,11.99,12.67,11.656399390003832,362985.0,0.0,0.0,True
-2024-05-09 00:00:00+01:00,12.65,12.71,12.18,12.66,11.647199891692471,261229.0,0.0,0.0,True
-2024-05-10 00:00:00+01:00,12.47,12.97,12.47,12.89,11.858799592314119,187666.0,0.0,0.0,True
-2024-05-13 00:00:00+01:00,12.8,13.120000000000001,12.58,12.8,11.775999611727732,164449.0,0.0,0.0,True
-2024-05-14 00:00:00+01:00,12.6,13.237950439453126,12.6,13.08,12.033600175744288,166908.0,0.0,0.0,True
-2024-05-15 00:00:00+01:00,13.36,13.48,13.030000000000001,13.450000000000001,12.373999596401195,178857.0,0.0,0.0,True
-2024-05-16 00:00:00+01:00,13.450000000000001,14.0,13.450000000000001,14.0,12.880000102176911,314200.0,0.0,0.0,True
-2024-05-17 00:00:00+01:00,14.13,14.8,13.780000000000001,14.700000000000001,13.523999826299248,558689.0,0.0,0.0,True
-2024-05-20 00:00:00+01:00,24.5,24.98,22.82,22.82,20.994399323588837,8292215.0,0.0,0.0,True
-2024-05-21 00:00:00+01:00,23.02,23.44,22.400000000000002,22.56,20.755198880141037,1407097.0,0.0,0.0,True
-2024-05-22 00:00:00+01:00,22.46,22.64,22.0,22.0,20.24,723017.0,0.0,0.0,True
-2024-05-23 00:00:00+01:00,21.98,22.47597900390625,21.62,22.3,22.3,1522184.0,1.76,0.0,False
-2024-05-24 00:00:00+01:00,22.240000000000002,22.3,21.68,22.14,22.14,644971.0,0.0,0.0,False
-2024-05-28 00:00:00+01:00,22.2,22.6,22.06,22.5,22.5,311246.0,0.0,0.0,False
-2024-05-29 00:00:00+01:00,22.48,22.6010009765625,22.16,22.3,22.3,1482854.0,0.0,0.0,False
-2024-05-30 00:00:00+01:00,22.5,22.62,22.3,22.32,22.32,138373.0,0.0,0.0,False
-2024-05-31 00:00:00+01:00,22.0,22.48,22.0,22.34,22.34,695505.0,0.0,0.0,False
-2024-06-03 00:00:00+01:00,22.2,22.48,22.1,22.36,22.36,148218.0,0.0,0.0,False
-2024-06-04 00:00:00+01:00,22.36,22.36,21.75,22.0,22.0,1289764.0,0.0,0.0,False
-2024-06-05 00:00:00+01:00,22.36,22.36,21.8,22.02,22.02,295325.0,0.0,0.0,False
-2024-06-06 00:00:00+01:00,22.02,22.145700683593752,21.78,22.04,22.04,463598.0,0.0,0.0,False
-2024-06-07 00:00:00+01:00,22.1,22.2,21.740000000000002,21.98,21.98,799873.0,0.0,0.0,False
-2024-06-10 00:00:00+01:00,21.900000000000002,22.02,21.64,21.64,21.64,588812.0,0.0,0.0,False
-2024-06-11 00:00:00+01:00,21.84,22.1,21.400000000000002,21.42,21.42,323278.0,0.0,0.0,False
-2024-06-12 00:00:00+01:00,21.72,21.72,21.2,21.5,21.5,961776.0,0.0,0.0,False
-2024-06-13 00:00:00+01:00,21.7,21.7,21.0,21.36,21.36,731949.0,0.0,0.0,False
-2024-06-14 00:00:00+01:00,21.72,22.62,21.435,22.62,22.62,1564845.0,0.0,0.0,False
-2024-06-17 00:00:00+01:00,22.42,22.60555908203125,22.05300048828125,22.3,22.3,543001.0,0.0,0.0,False
-2024-06-18 00:00:00+01:00,22.5,22.5,22.011999511718752,22.28,22.28,302283.0,0.0,0.0,False
-2024-06-19 00:00:00+01:00,22.0,22.36,21.94,22.0,22.0,261639.0,0.0,0.0,False
-2024-06-20 00:00:00+01:00,22.5,22.5,21.900000000000002,22.400000000000002,22.400000000000002,298140.0,0.0,0.0,False
-2024-06-21 00:00:00+01:00,22.5,22.900000000000002,22.22,22.38,22.38,374718.0,0.0,0.0,False
-2024-06-24 00:00:00+01:00,22.400000000000002,22.62,22.2,22.38,22.38,182607.0,0.0,0.0,False
-2024-06-25 00:00:00+01:00,22.3,22.32,21.32049072265625,21.92,21.92,1156786.0,0.0,0.0,False
-2024-06-26 00:00:00+01:00,22.0,22.0,21.44,21.740000000000002,21.740000000000002,1321707.0,0.0,0.0,False
-2024-06-27 00:00:00+01:00,21.86,21.92,21.6,21.78,21.78,1192605.0,0.0,0.0,False
-2024-06-28 00:00:00+01:00,23.1,23.21093994140625,22.88800048828125,23.12,23.12,5166863.0,0.0,0.0,False
-2024-07-01 00:00:00+01:00,23.26,23.26,23.06,23.080000000000002,23.080000000000002,904708.0,0.0,0.0,False
-2024-07-02 00:00:00+01:00,23.080000000000002,23.240000000000002,23.06,23.18,23.18,800296.0,0.0,0.0,False
-2024-07-03 00:00:00+01:00,23.84,23.900000000000002,23.78333984375,23.900000000000002,23.900000000000002,8961383.0,0.0,0.0,False
-2024-07-04 00:00:00+01:00,23.92,23.94,23.83340087890625,23.86,23.86,1175939.0,0.0,0.0,False
-2024-07-05 00:00:00+01:00,23.900000000000002,23.96,23.86,23.88,23.88,969052.0,0.0,0.0,False
-2024-07-08 00:00:00+01:00,23.88,24.060000000000002,23.88,23.88,23.88,420214.0,0.0,0.0,False
-2024-07-09 00:00:00+01:00,23.92,23.96,23.86,23.900000000000002,23.900000000000002,1264139.0,0.0,0.0,False
-2024-07-10 00:00:00+01:00,23.88,23.94,23.88,23.900000000000002,23.900000000000002,371085.0,0.0,0.0,False
-2024-07-11 00:00:00+01:00,23.84,23.92,23.82,23.82,23.82,458586.0,0.0,0.0,False
-2024-07-12 00:00:00+01:00,23.82,23.88,23.82,23.88,23.88,681277.0,0.0,0.0,False
-2024-07-15 00:00:00+01:00,23.84,23.88,23.84,23.86,23.86,739304.0,0.0,0.0,False
-2024-07-16 00:00:00+01:00,23.88,23.883859863281252,23.84,23.86,23.86,1130090.0,0.0,0.0,False
-2024-07-17 00:00:00+01:00,23.88,23.88,23.86,23.86,23.86,755831.0,0.0,0.0,False
-2024-07-18 00:00:00+01:00,23.88,23.900000000000002,23.86,23.900000000000002,23.900000000000002,960170.0,0.0,0.0,False
-2024-07-19 00:00:00+01:00,23.900000000000002,23.94,23.86,23.94,23.94,195271.0,0.0,0.0,False
-2024-07-22 00:00:00+01:00,23.88,23.92,23.8,23.84,23.84,3036352.0,0.0,0.0,False
-2024-07-23 00:00:00+01:00,23.82,23.86,23.8,23.82,23.82,1083480.0,0.0,0.0,False
-2024-07-24 00:00:00+01:00,23.84,23.88,23.8,23.8,23.8,1445489.0,0.0,0.0,False
-2024-07-25 00:00:00+01:00,23.84,23.900000000000002,23.8,23.8,23.8,582850.0,0.0,0.0,False
-2024-07-26 00:00:00+01:00,23.96,23.96,23.8,23.8,23.8,675264.0,0.0,0.0,False
-2024-07-29 00:00:00+01:00,23.84,23.88,23.5783203125,23.84,23.84,1403210.0,0.0,0.0,False
-2024-07-30 00:00:00+01:00,23.84,23.88,23.82,23.84,23.84,1286201.0,0.0,0.0,False
-2024-07-31 00:00:00+01:00,23.86,23.88,23.82,23.88,23.88,308556.0,0.0,0.0,False
-2024-08-01 00:00:00+01:00,23.900000000000002,23.900000000000002,23.84,23.84,23.84,139383.0,0.0,0.0,False
-2024-08-02 00:00:00+01:00,24.2,24.2,23.84,23.84,23.84,402227.0,0.0,0.0,False
-2024-08-05 00:00:00+01:00,23.84,23.88,23.8,23.88,23.88,2543161.0,0.0,0.0,False
-2024-08-06 00:00:00+01:00,23.900000000000002,24.060000000000002,23.82,23.88,23.88,805371.0,0.0,0.0,False
-2024-08-07 00:00:00+01:00,23.900000000000002,23.92,23.84,23.86,23.86,1753790.0,0.0,0.0,False
-2024-08-08 00:00:00+01:00,23.86,23.92,23.86,23.88,23.88,191998.0,0.0,0.0,False
-2024-08-09 00:00:00+01:00,23.900000000000002,23.98,23.86,23.98,23.98,289215.0,0.0,0.0,False
-2024-08-12 00:00:00+01:00,23.96,24.0,23.92,24.0,24.0,513766.0,0.0,0.0,False
-2024-08-13 00:00:00+01:00,24.0,24.04,23.94,24.04,24.04,185320.0,0.0,0.0,False
-2024-08-14 00:00:00+01:00,24.0,24.3,23.96,24.3,24.3,300442.0,0.0,0.0,False
-2024-08-15 00:00:00+01:00,24.1,24.12,24.0,24.02,24.02,222740.0,0.0,0.0,False
-2024-08-16 00:00:00+01:00,24.1,24.1,23.98,23.98,23.98,255770.0,0.0,0.0,False
-2024-08-19 00:00:00+01:00,24.080000000000002,24.080000000000002,23.96,24.0,24.0,229725.0,0.0,0.0,False
-2024-08-20 00:00:00+01:00,24.0,24.04,23.98,24.0,24.0,261084.0,0.0,0.0,False
-2024-08-21 00:00:00+01:00,24.080000000000002,24.080000000000002,23.98,24.060000000000002,24.060000000000002,1086506.0,0.0,0.0,False
-2024-08-22 00:00:00+01:00,24.080000000000002,24.080000000000002,24.02,24.060000000000002,24.060000000000002,163317.0,0.0,0.0,False
-2024-08-23 00:00:00+01:00,24.080000000000002,24.080000000000002,24.0,24.080000000000002,24.080000000000002,202364.0,0.0,0.0,False
-2024-08-27 00:00:00+01:00,24.060000000000002,24.18,24.02,24.060000000000002,24.060000000000002,245203.0,0.0,0.0,False
-2024-08-28 00:00:00+01:00,24.02,24.12,24.02,24.04,24.04,349423.0,0.0,0.0,False
-2024-08-29 00:00:00+01:00,24.04,24.12,24.04,24.060000000000002,24.060000000000002,187436.0,0.0,0.0,False
-2024-08-30 00:00:00+01:00,24.16,24.3,24.02,24.26,24.26,1493472.0,0.0,0.0,False
-2024-09-02 00:00:00+01:00,24.240000000000002,24.28,24.22,24.240000000000002,24.240000000000002,397048.0,0.0,0.0,False
-2024-09-03 00:00:00+01:00,24.240000000000002,24.28,24.22,24.22,24.22,526456.0,0.0,0.0,False
-2024-09-04 00:00:00+01:00,24.240000000000002,24.33919921875,24.22,24.240000000000002,24.240000000000002,830622.0,0.0,0.0,False
-2024-09-05 00:00:00+01:00,24.26,24.28,24.240000000000002,24.240000000000002,24.240000000000002,2561655.0,0.0,0.0,False
-2024-09-06 00:00:00+01:00,24.240000000000002,24.3,24.240000000000002,24.240000000000002,24.240000000000002,2621382.0,0.0,0.0,False
-2024-09-09 00:00:00+01:00,24.240000000000002,24.333601074218752,24.240000000000002,24.26,24.26,946993.0,0.0,0.0,False
-2024-09-10 00:00:00+01:00,24.28,24.38,24.240000000000002,24.28,24.28,1955248.0,0.0,0.0,False
-2024-09-11 00:00:00+01:00,24.28,24.3,24.255720214843752,24.26,24.26,3357431.0,0.0,0.0,False
-2024-09-12 00:00:00+01:00,24.28,24.32,24.26,24.3,24.3,1396090.0,0.0,0.0,False
-2024-09-13 00:00:00+01:00,24.26,24.3,24.26,24.26,24.26,539753.0,0.0,0.0,False
-2024-09-16 00:00:00+01:00,24.28,24.3,24.26,24.28,24.28,3548116.0,0.0,0.0,False
-2024-09-17 00:00:00+01:00,24.3,24.3143994140625,24.28,24.28,24.28,6116775.0,0.0,0.0,False
-2024-09-18 00:00:00+01:00,24.28,24.3,24.26,24.28,24.28,1315109.0,0.0,0.0,False
-2024-09-19 00:00:00+01:00,24.28,24.307199707031252,24.28,24.28,24.28,3447049.0,0.0,0.0,False
-2024-09-20 00:00:00+01:00,24.28,24.301000976562502,24.28,24.3,24.3,949712.0,0.0,0.0,False
-2024-09-23 00:00:00+01:00,24.3,24.34,24.28,24.28,24.28,1165867.0,0.0,0.0,False
-2024-09-24 00:00:00+01:00,24.3,24.34,24.29,24.3,24.3,417334.0,0.0,0.0,False
-2024-09-25 00:00:00+01:00,24.32,24.356000976562502,24.28,24.32,24.32,1311755.0,0.0,0.0,False
-2024-09-26 00:00:00+01:00,24.3,24.36,24.3,24.32,24.32,2165924.0,0.0,0.0,False
-2024-09-27 00:00:00+01:00,24.34,24.385,24.32,24.34,24.34,191057.0,0.0,0.0,False
-2024-09-30 00:00:00+01:00,24.36,24.36,24.3,24.36,24.36,418219.0,0.0,0.0,False
-2024-10-01 00:00:00+01:00,24.36,24.38,24.34,24.34,24.34,834978.0,0.0,0.0,False
-2024-10-02 00:00:00+01:00,24.34,24.38,24.34,24.36,24.36,321113.0,0.0,0.0,False
-2024-10-03 00:00:00+01:00,24.36,24.400000000000002,24.36,24.36,24.36,119311.0,0.0,0.0,False
-2024-10-04 00:00:00+01:00,24.400000000000002,24.400000000000002,24.355380859375,24.38,24.38,408506.0,0.0,0.0,False
-2024-10-07 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.400000000000002,24.400000000000002,934866.0,0.0,0.0,False
-2024-10-08 00:00:00+01:00,24.38,24.400000000000002,24.36,24.38,24.38,351909.0,0.0,0.0,False
-2024-10-09 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.36,24.36,373356.0,0.0,0.0,False
-2024-10-10 00:00:00+01:00,24.36,24.400000000000002,24.36,24.38,24.38,566301.0,0.0,0.0,False
-2024-10-11 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.38,24.38,88197.0,0.0,0.0,False
-2024-10-14 00:00:00+01:00,24.42,24.42,24.36,24.36,24.36,2859472.0,0.0,0.0,False
-2024-10-15 00:00:00+01:00,24.38,24.42,24.38,24.400000000000002,24.400000000000002,1387949.0,0.0,0.0,False
-2024-10-16 00:00:00+01:00,24.42,24.42,24.38,24.38,24.38,518018.0,0.0,0.0,False
-2024-10-17 00:00:00+01:00,24.42,24.42,24.378291015625,24.38,24.38,1199504.0,0.0,0.0,False
-2024-10-18 00:00:00+01:00,24.400000000000002,24.52,24.38,24.400000000000002,24.400000000000002,612904.0,0.0,0.0,False
-2024-10-21 00:00:00+01:00,24.42,24.46,24.42,24.44,24.44,937999.0,0.0,0.0,False
-2024-10-22 00:00:00+01:00,24.46,24.48,24.44,24.46,24.46,9890907.0,0.0,0.0,False
-2024-10-23 00:00:00+01:00,24.46,24.46,24.46,24.46,24.46,0.0,0.0,0.0,False
-2024-10-24 00:00:00+01:00,,,,,,,0.0,0.0,False
-2024-10-25 00:00:00+01:00,,,,,,,0.0,0.0,False
-2024-10-28 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-10-29 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-10-30 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-10-31 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-01 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-04 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-05 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-06 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-07 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-08 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-11 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-12 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-13 00:00:00+00:00,,,,,,,0.0,0.0,False
-2024-11-14 00:00:00+00:00,,,,,,,0.0,0.0,False
--- a/tests/data/KWS-L-1d-bad-div.csv
+++ b/tests/data/KWS-L-1d-bad-div.csv
@@ -1,725 +0,0 @@
-Datetime,Open,High,Low,Close,Adj Close,Volume,Dividends,Stock Splits
-2022-01-04 00:00:00+00:00,29.46,29.98,28.52,28.66,28.56770263671875,169521.0,0.0,0.0
-2022-01-05 00:00:00+00:00,30.0,30.0,28.46,28.900000000000002,28.806928710937502,128698.0,0.0,0.0
-2022-01-06 00:00:00+00:00,28.2,28.560000000000002,27.5,27.82,27.73040771484375,374659.0,0.0,0.0
-2022-01-07 00:00:00+00:00,28.3,28.3,27.400000000000002,27.46,27.37156982421875,80410.0,0.0,0.0
-2022-01-10 00:00:00+00:00,28.16,28.240000000000002,26.2,26.580000000000002,26.494404296875,135881.0,0.0,0.0
-2022-01-11 00:00:00+00:00,25.92,27.060000000000002,25.92,26.72,26.6339501953125,71414.0,0.0,0.0
-2022-01-12 00:00:00+00:00,26.72,26.96,26.060000000000002,26.8,26.713693847656252,68611.0,0.0,0.0
-2022-01-13 00:00:00+00:00,26.72,27.3239990234375,26.6,27.2,27.11240478515625,155917.0,0.0,0.0
-2022-01-14 00:00:00+00:00,27.52,27.52,26.36,26.560000000000002,26.474470214843752,66402.0,0.0,0.0
-2022-01-17 00:00:00+00:00,27.02,27.22,26.28,27.22,27.13234619140625,60092.0,0.0,0.0
-2022-01-18 00:00:00+00:00,27.66,27.66,26.0,26.86,26.773500976562502,128385.0,0.0,0.0
-2022-01-19 00:00:00+00:00,27.0,27.46,26.7,27.2,27.11240478515625,75141.0,0.0,0.0
-2022-01-20 00:00:00+00:00,26.900000000000002,27.7,26.81172119140625,27.54,27.45131103515625,99304.0,0.0,0.0
-2022-01-21 00:00:00+00:00,27.26,27.88,26.214208984375002,26.38,26.295048828125,123570.0,0.0,0.0
-2022-01-24 00:00:00+00:00,26.14,26.261599121093752,24.72,24.88,24.799875488281252,148794.0,0.0,0.0
-2022-01-25 00:00:00+00:00,24.92,25.2,24.580000000000002,24.580000000000002,24.5008447265625,94318.0,0.0,0.0
-2022-01-26 00:00:00+00:00,25.52,25.52,24.400000000000002,24.66,24.58058349609375,265198.0,0.0,0.0
-2022-01-27 00:00:00+00:00,24.66,25.12669921875,24.400000000000002,24.82,24.74007080078125,248811.0,0.0,0.0
-2022-01-28 00:00:00+00:00,24.7,24.88,24.1,24.32,24.2416845703125,146209.0,0.0,0.0
-2022-01-31 00:00:00+00:00,25.3,25.46,24.3,25.2,25.11884765625,495745.0,0.0,0.0
-2022-02-01 00:00:00+00:00,25.580000000000002,26.78,25.580000000000002,26.7,26.614016113281252,426366.0,0.0,0.0
-2022-02-02 00:00:00+00:00,25.5,27.28,25.5,26.38,26.295048828125,134118.0,0.0,0.0
-2022-02-03 00:00:00+00:00,26.28,26.3639990234375,24.82,24.88,24.799875488281252,168782.0,0.0,0.0
-2022-02-04 00:00:00+00:00,24.6,25.14,24.400000000000002,24.76,24.680263671875,110543.0,0.0,0.0
-2022-02-07 00:00:00+00:00,25.04,25.04,24.54,24.54,24.460974121093752,163853.0,0.0,0.0
-2022-02-08 00:00:00+00:00,24.64,24.64,23.8,24.12,24.04232421875,146007.0,0.0,0.0
-2022-02-09 00:00:00+00:00,24.5,24.98,24.3,24.7,24.62045654296875,130747.0,0.0,0.0
-2022-02-10 00:00:00+00:00,24.52,24.7,24.080000000000002,24.46,24.38123046875,113862.0,0.0,0.0
-2022-02-11 00:00:00+00:00,24.5,24.72,24.1,24.42,24.34135986328125,87108.0,0.0,0.0
-2022-02-14 00:00:00+00:00,24.42,24.42,23.34,23.98,23.90277587890625,79188.0,0.0,0.0
-2022-02-15 00:00:00+00:00,23.86,24.560000000000002,23.54,24.22,24.142001953125,175846.0,0.0,0.0
-2022-02-16 00:00:00+00:00,24.580000000000002,24.580000000000002,23.76,23.98,23.90277587890625,62392.0,0.0,0.0
-2022-02-17 00:00:00+00:00,24.78,24.78,23.86,23.86,23.7831640625,111791.0,0.0,0.0
-2022-02-18 00:00:00+00:00,23.84,23.94760009765625,23.36,23.48,23.404384765625,61467.0,0.0,0.0
-2022-02-21 00:00:00+00:00,23.46,23.64919921875,22.82,23.080000000000002,23.00567138671875,71820.0,0.0,0.0
-2022-02-22 00:00:00+00:00,24.18,24.18,22.54,23.38,23.30470703125,75721.0,0.0,0.0
-2022-02-23 00:00:00+00:00,23.78,24.04,23.02,23.02,22.945869140625,122317.0,0.0,0.0
-2022-02-24 00:00:00+00:00,23.3,23.3,21.96,22.52,22.44747802734375,241118.0,0.0,0.0
-2022-02-25 00:00:00+00:00,23.0,23.56,22.66,23.32,23.24490234375,147148.0,0.0,0.0
-2022-02-28 00:00:00+00:00,22.36,24.14,22.36,24.14,24.062258300781252,226698.0,0.0,0.0
-2022-03-01 00:00:00+00:00,24.080000000000002,24.22,23.5,23.5,23.42432373046875,218356.0,0.0,0.0
-2022-03-02 00:00:00+00:00,23.7,23.900000000000002,23.26,23.62,23.54393798828125,87219.0,0.0,0.0
-2022-03-03 00:00:00+00:00,23.26,23.8,22.14,22.14,22.068701171875002,137377.0,0.0,0.0
-2022-03-04 00:00:00+00:00,22.3,22.92,20.740000000000002,20.740000000000002,20.67321044921875,173972.0,0.0,0.0
-2022-03-07 00:00:00+00:00,20.740000000000002,21.14,19.5,20.3,20.234625244140627,282380.0,0.0,0.0
-2022-03-08 00:00:00+00:00,20.3,20.82,19.52,19.52,19.457138671875,268763.0,0.0,0.0
-2022-03-09 00:00:00+00:00,20.0,21.02,19.73,21.02,20.9523095703125,624876.0,0.0,0.0
-2022-03-10 00:00:00+00:00,21.22,21.22,20.38,20.44,20.374176025390625,266261.0,0.0,0.0
-2022-03-11 00:00:00+00:00,20.66,21.52,20.46,20.900000000000002,20.8326953125,139879.0,0.0,0.0
-2022-03-14 00:00:00+00:00,21.5,21.88,21.1,21.580000000000002,21.51050537109375,87051.0,0.0,0.0
-2022-03-15 00:00:00+00:00,20.72,21.48,20.72,20.96,20.89250244140625,86783.0,0.0,0.0
-2022-03-16 00:00:00+00:00,21.580000000000002,22.72,21.36,22.48,22.40760986328125,118783.0,0.0,0.0
-2022-03-17 00:00:00+00:00,21.68,22.7,21.68,22.46,22.387670898437502,86717.0,0.0,0.0
-2022-03-18 00:00:00+00:00,21.76,23.32,21.76,23.18,23.10535400390625,147084.0,0.0,0.0
-2022-03-21 00:00:00+00:00,23.400000000000002,23.400000000000002,22.26,22.62,22.547155761718752,290436.0,0.0,0.0
-2022-03-22 00:00:00+00:00,23.22,23.22,21.94,22.0,21.929150390625,89172.0,0.0,0.0
-2022-03-23 00:00:00+00:00,21.68,22.7,21.68,22.56,22.487348632812502,83842.0,0.0,0.0
-2022-03-24 00:00:00+00:00,21.42,22.64,21.400000000000002,22.400000000000002,22.3278662109375,121267.0,0.0,0.0
-2022-03-25 00:00:00+00:00,22.5,23.1,21.92,22.66,22.5870263671875,192618.0,0.0,0.0
-2022-03-28 00:00:00+01:00,22.14,23.32,22.14,22.86,22.78638427734375,109333.0,0.0,0.0
-2022-03-29 00:00:00+01:00,23.02,23.511201171875,22.8360009765625,23.38,23.30470703125,85895.0,0.0,0.0
-2022-03-30 00:00:00+01:00,23.82,25.740000000000002,23.82,25.740000000000002,25.657109375,571137.0,0.0,0.0
-2022-03-31 00:00:00+01:00,25.68,26.2,25.0,26.2,26.11562255859375,458165.0,0.0,0.0
-2022-04-01 00:00:00+01:00,26.32,26.34,25.580000000000002,25.580000000000002,25.497622070312502,206616.0,0.0,0.0
-2022-04-04 00:00:00+01:00,26.400000000000002,26.400000000000002,25.2,25.92,25.836530761718752,150039.0,0.0,0.0
-2022-04-05 00:00:00+01:00,25.94,26.92,25.900000000000002,26.46,26.3747900390625,2241719.0,0.0,0.0
-2022-04-06 00:00:00+01:00,26.62,26.98,26.32,26.52,26.43459716796875,178598.0,0.0,0.0
-2022-04-07 00:00:00+01:00,26.86,27.62,26.44,27.18,27.092470703125002,191304.0,0.0,0.0
-2022-04-08 00:00:00+01:00,27.52,27.72489990234375,26.52,26.62,26.534277343750002,131026.0,0.0,0.0
-2022-04-11 00:00:00+01:00,26.560000000000002,26.692480468750002,25.88,26.0,25.91627197265625,106445.0,0.0,0.0
-2022-04-12 00:00:00+01:00,26.0,26.580000000000002,26.0,26.28,26.19536865234375,134222.0,0.0,0.0
-2022-04-13 00:00:00+01:00,26.62,26.62,25.92,26.3,26.21530517578125,151567.0,0.0,0.0
-2022-04-14 00:00:00+01:00,26.240000000000002,26.52,25.79534912109375,26.0,25.91627197265625,203268.0,0.0,0.0
-2022-04-19 00:00:00+01:00,25.8,26.060000000000002,24.96,25.54,25.45775146484375,202763.0,0.0,0.0
-2022-04-20 00:00:00+01:00,25.740000000000002,25.740000000000002,25.12,25.12,25.039106445312502,133972.0,0.0,0.0
-2022-04-21 00:00:00+01:00,25.22,25.62,25.1,25.2,25.11884765625,134423.0,0.0,0.0
-2022-04-22 00:00:00+01:00,24.62,25.38,24.62,25.02,24.93942626953125,148749.0,0.0,0.0
-2022-04-25 00:00:00+01:00,24.38,24.86,24.18,24.400000000000002,24.32142333984375,283575.0,0.0,0.0
-2022-04-26 00:00:00+01:00,24.3,24.82,24.22,24.3,24.221743164062502,271554.0,0.0,0.0
-2022-04-27 00:00:00+01:00,24.0,24.94,23.2,23.46,23.38445068359375,147954.0,0.0,0.0
-2022-04-28 00:00:00+01:00,23.48,23.90139892578125,23.42,23.76,23.68348388671875,98816.0,0.0,0.0
-2022-04-29 00:00:00+01:00,23.22,24.16,23.2,24.04,23.9625830078125,139578.0,0.0,0.0
-2022-05-03 00:00:00+01:00,23.6,24.3,23.18,23.48,23.404384765625,181511.0,0.0,0.0
-2022-05-04 00:00:00+01:00,23.16,23.26,22.24698974609375,22.44,22.36773681640625,199215.0,0.0,0.0
-2022-05-05 00:00:00+01:00,23.52,23.52,22.18,22.26,22.1883154296875,468283.0,0.0,0.0
-2022-05-06 00:00:00+01:00,21.900000000000002,22.06,21.5,22.0,21.929150390625,119246.0,0.0,0.0
-2022-05-09 00:00:00+01:00,21.88,21.89320068359375,20.8,21.14,21.07192138671875,216918.0,0.0,0.0
-2022-05-10 00:00:00+01:00,21.3,22.02,21.14,21.52,21.4506982421875,175912.0,0.0,0.0
-2022-05-11 00:00:00+01:00,22.080000000000002,22.6,21.48,21.92,21.849409179687502,161619.0,0.0,0.0
-2022-05-12 00:00:00+01:00,21.54,22.0,21.0,21.96,21.88927978515625,162789.0,0.0,0.0
-2022-05-13 00:00:00+01:00,22.0,22.580000000000002,21.88,22.400000000000002,22.3278662109375,136027.0,0.0,0.0
-2022-05-16 00:00:00+01:00,22.28,22.32,21.66,21.88,21.80953857421875,169593.0,0.0,0.0
-2022-05-17 00:00:00+01:00,21.94,22.1,21.580000000000002,21.8,21.7297998046875,230442.0,0.0,0.0
-2022-05-18 00:00:00+01:00,22.76,22.76,21.34,21.36,21.29121337890625,218130.0,0.0,0.0
-2022-05-19 00:00:00+01:00,21.56,21.900000000000002,20.82,21.82,21.74973388671875,161985.0,0.0,0.0
-2022-05-20 00:00:00+01:00,21.88,22.5,21.7,21.76,21.689924316406252,108143.0,0.0,0.0
-2022-05-23 00:00:00+01:00,21.7,22.26,21.68,21.84,21.76966552734375,114671.0,0.0,0.0
-2022-05-24 00:00:00+01:00,22.0,22.0,21.22,21.34,21.271279296875,80311.0,0.0,0.0
-2022-05-25 00:00:00+01:00,21.44,22.240000000000002,21.3510009765625,21.94,21.869345703125,108379.0,0.0,0.0
-2022-05-26 00:00:00+01:00,22.240000000000002,22.240000000000002,21.66,22.080000000000002,22.023447265625002,54302.0,1.45,0.0
-2022-05-27 00:00:00+01:00,22.14,22.68,22.04,22.5,22.44237548828125,84161.0,0.0,0.0
-2022-05-30 00:00:00+01:00,22.8,23.1,22.5,22.68,22.6219140625,92952.0,0.0,0.0
-2022-05-31 00:00:00+01:00,22.0,23.56,22.0,23.42,23.36001708984375,260541.0,0.0,0.0
-2022-06-01 00:00:00+01:00,23.52,23.76,22.96,23.48,23.41986328125,169299.0,0.0,0.0
-2022-06-06 00:00:00+01:00,23.52,23.76,23.080000000000002,23.56,23.49966064453125,62642.0,0.0,0.0
-2022-06-07 00:00:00+01:00,22.62,23.92,22.62,23.8,23.73904541015625,131089.0,0.0,0.0
-2022-06-08 00:00:00+01:00,23.88,24.22,23.88,24.060000000000002,23.99837646484375,144324.0,0.0,0.0
-2022-06-09 00:00:00+01:00,23.72,24.740000000000002,23.48300048828125,24.32,24.25771240234375,197024.0,0.0,0.0
-2022-06-10 00:00:00+01:00,24.18,24.5,23.68,23.900000000000002,23.838789062500002,391211.0,0.0,0.0
-2022-06-13 00:00:00+01:00,23.78,24.0,22.88,23.2,23.1405810546875,389306.0,0.0,0.0
-2022-06-14 00:00:00+01:00,23.18,23.34,22.92,23.04,22.9809912109375,168973.0,0.0,0.0
-2022-06-15 00:00:00+01:00,22.6,23.18,21.580000000000002,22.26,22.20299072265625,159033.0,0.0,0.0
-2022-06-16 00:00:00+01:00,22.54,22.54,21.82,21.92,21.86385986328125,154582.0,0.0,0.0
-2022-06-17 00:00:00+01:00,22.02,22.62,22.0,22.56,22.5022216796875,162701.0,0.0,0.0
-2022-06-20 00:00:00+01:00,22.54,22.7643994140625,22.3,22.46,22.402475585937502,48492.0,0.0,0.0
-2022-06-21 00:00:00+01:00,22.52,23.1,22.34,22.740000000000002,22.68176025390625,131960.0,0.0,0.0
-2022-06-22 00:00:00+01:00,22.94,23.12,22.03,22.96,22.9011962890625,67403.0,0.0,0.0
-2022-06-23 00:00:00+01:00,23.5,23.5,21.88,22.240000000000002,22.183037109375,191595.0,0.0,0.0
-2022-06-24 00:00:00+01:00,22.8,23.34,22.580000000000002,23.1,23.04083984375,186503.0,0.0,0.0
-2022-06-27 00:00:00+01:00,23.080000000000002,23.34,22.78,22.900000000000002,22.84134765625,75108.0,0.0,0.0
-2022-06-28 00:00:00+01:00,22.84,23.14,22.42,22.6,22.54211669921875,95713.0,0.0,0.0
-2022-06-29 00:00:00+01:00,22.44,22.580000000000002,21.76,21.8,21.74416748046875,143179.0,0.0,0.0
-2022-06-30 00:00:00+01:00,21.38,22.0,21.38,21.94,21.88380859375,143371.0,0.0,0.0
-2022-07-01 00:00:00+01:00,21.0,22.3,21.0,22.14,22.083295898437502,151912.0,0.0,0.0
-2022-07-04 00:00:00+01:00,22.96,23.12,21.76,21.86,21.80401611328125,163031.0,0.0,0.0
-2022-07-05 00:00:00+01:00,21.8,22.26,21.1,21.54,21.4848291015625,87873.0,0.0,0.0
-2022-07-06 00:00:00+01:00,21.8,22.54,21.8,22.5,22.44237548828125,192002.0,0.0,0.0
-2022-07-07 00:00:00+01:00,22.740000000000002,22.86,22.44739990234375,22.68,22.6219140625,44045.0,0.0,0.0
-2022-07-08 00:00:00+01:00,22.7,23.1,22.38,23.0,22.94109130859375,54169.0,0.0,0.0
-2022-07-11 00:00:00+01:00,23.0,23.240000000000002,22.68,23.02,22.961042480468752,28404.0,0.0,0.0
-2022-07-12 00:00:00+01:00,23.48,23.48,22.38,22.400000000000002,22.3426318359375,58069.0,0.0,0.0
-2022-07-13 00:00:00+01:00,21.98,22.42,21.54,22.2,22.14314208984375,171315.0,0.0,0.0
-2022-07-14 00:00:00+01:00,21.6,22.28739990234375,21.42,21.8,21.74416748046875,69105.0,0.0,0.0
-2022-07-15 00:00:00+01:00,22.240000000000002,22.46,21.42,22.38,22.3226806640625,37962.0,0.0,0.0
-2022-07-18 00:00:00+01:00,22.52,23.26,22.52,23.1,23.04083984375,57375.0,0.0,0.0
-2022-07-19 00:00:00+01:00,22.86,23.240000000000002,22.86,23.080000000000002,23.02088623046875,111888.0,0.0,0.0
-2022-07-20 00:00:00+01:00,23.32,23.7,23.27,23.64,23.57945556640625,101102.0,0.0,0.0
-2022-07-21 00:00:00+01:00,23.6,24.3,23.52,24.3,24.237763671875,94675.0,0.0,0.0
-2022-07-22 00:00:00+01:00,24.22,24.66,24.14,24.28,24.21781494140625,106841.0,0.0,0.0
-2022-07-25 00:00:00+01:00,24.26,24.42,23.96,24.04,23.978430175781252,156132.0,0.0,0.0
-2022-07-26 00:00:00+01:00,24.1,24.1,23.56,23.56,23.49966064453125,100895.0,0.0,0.0
-2022-07-27 00:00:00+01:00,23.48,23.94,23.44,23.580000000000002,23.519609375,147619.0,0.0,0.0
-2022-07-28 00:00:00+01:00,24.32,24.400000000000002,23.84,24.400000000000002,24.337509765625,68667.0,0.0,0.0
-2022-07-29 00:00:00+01:00,24.28,25.48,24.26,25.14,25.07561279296875,215529.0,0.0,0.0
-2022-08-01 00:00:00+01:00,26.0,26.0,24.6,24.900000000000002,24.836225585937502,67096.0,0.0,0.0
-2022-08-02 00:00:00+01:00,24.86,24.900000000000002,24.3,24.52,24.4572021484375,44575.0,0.0,0.0
-2022-08-03 00:00:00+01:00,25.400000000000002,27.664499511718752,24.740000000000002,27.0,26.93085205078125,363560.0,0.0,0.0
-2022-08-04 00:00:00+01:00,26.96,27.06300048828125,25.98,26.42,26.352333984375,390933.0,0.0,0.0
-2022-08-05 00:00:00+01:00,26.28,27.1,26.22,26.54,26.4720263671875,281941.0,0.0,0.0
-2022-08-08 00:00:00+01:00,26.26,26.84,25.740000000000002,26.02,25.953359375,119579.0,0.0,0.0
-2022-08-09 00:00:00+01:00,26.0,26.12,25.400000000000002,25.42,25.354895019531252,81157.0,0.0,0.0
-2022-08-10 00:00:00+01:00,26.0,26.361459960937502,24.84,26.240000000000002,26.1727978515625,236333.0,0.0,0.0
-2022-08-11 00:00:00+01:00,26.22,26.52,25.94,26.26,26.192744140625,202521.0,0.0,0.0
-2022-08-12 00:00:00+01:00,26.740000000000002,26.76,26.12,26.68,26.61166748046875,94373.0,0.0,0.0
-2022-08-15 00:00:00+01:00,26.0,26.92,25.66,26.68,26.61166748046875,130154.0,0.0,0.0
-2022-08-16 00:00:00+01:00,26.1,26.86,25.34,25.580000000000002,25.5144873046875,220905.0,0.0,0.0
-2022-08-17 00:00:00+01:00,25.66,26.2,25.32,25.740000000000002,25.674074707031252,194549.0,0.0,0.0
-2022-08-18 00:00:00+01:00,25.740000000000002,25.8,25.42,25.8,25.7339208984375,73907.0,0.0,0.0
-2022-08-19 00:00:00+01:00,25.64,25.7,24.38,24.38,24.31755859375,161331.0,0.0,0.0
-2022-08-22 00:00:00+01:00,24.2,24.42,23.84,24.14,24.07817138671875,309805.0,0.0,0.0
-2022-08-23 00:00:00+01:00,24.2,24.2,23.34,23.42,23.36001708984375,169026.0,0.0,0.0
-2022-08-24 00:00:00+01:00,24.44,24.44,23.240000000000002,24.080000000000002,24.01832763671875,213735.0,0.0,0.0
-2022-08-25 00:00:00+01:00,24.34,24.76,24.14,24.560000000000002,24.49709716796875,103565.0,0.0,0.0
-2022-08-26 00:00:00+01:00,24.68,25.84,24.418798828125002,24.48,24.4173046875,111767.0,0.0,0.0
-2022-08-30 00:00:00+01:00,25.0,25.32,24.28,24.64,24.57689208984375,114667.0,0.0,0.0
-2022-08-31 00:00:00+01:00,24.3,25.14,24.26,24.86,24.79633056640625,159278.0,0.0,0.0
-2022-09-01 00:00:00+01:00,24.84,24.84,23.28,23.5,23.439814453125,75741.0,0.0,0.0
-2022-09-02 00:00:00+01:00,23.8,23.900000000000002,23.32,23.86,23.79889404296875,161878.0,0.0,0.0
-2022-09-05 00:00:00+01:00,23.54,24.04,23.19093994140625,23.5,23.439814453125,89772.0,0.0,0.0
-2022-09-06 00:00:00+01:00,23.54,24.02,23.31,23.580000000000002,23.519609375,71477.0,0.0,0.0
-2022-09-07 00:00:00+01:00,23.0,23.72,23.0,23.48,23.41986328125,97993.0,0.0,0.0
-2022-09-08 00:00:00+01:00,23.400000000000002,23.86,23.12,23.86,23.79889404296875,192900.0,0.0,0.0
-2022-09-09 00:00:00+01:00,23.7,24.240000000000002,23.67845947265625,24.16,24.098125,59221.0,0.0,0.0
-2022-09-12 00:00:00+01:00,24.400000000000002,24.400000000000002,23.82,24.04,23.978430175781252,76307.0,0.0,0.0
-2022-09-13 00:00:00+01:00,24.0,24.76,23.66,23.66,23.599401855468752,155869.0,0.0,0.0
-2022-09-14 00:00:00+01:00,23.66,24.34,23.54,23.84,23.778940429687502,120233.0,0.0,0.0
-2022-09-15 00:00:00+01:00,23.22,23.88,23.18,23.34,23.280222167968752,297665.0,0.0,0.0
-2022-09-16 00:00:00+01:00,23.26,23.32,22.900000000000002,22.92,22.861298828125,144960.0,0.0,0.0
-2022-09-20 00:00:00+01:00,22.94,24.04,22.6,23.5,23.439814453125,317042.0,0.0,0.0
-2022-09-21 00:00:00+01:00,23.84,24.36,21.86,23.12,23.0607861328125,273104.0,0.0,0.0
-2022-09-22 00:00:00+01:00,23.02,23.46,22.8,23.240000000000002,23.18048095703125,330760.0,0.0,0.0
-2022-09-23 00:00:00+01:00,23.02,23.14,21.900000000000002,22.56,22.5022216796875,152226.0,0.0,0.0
-2022-09-26 00:00:00+01:00,22.1,22.98,22.1,22.68,22.6219140625,160292.0,0.0,0.0
-2022-09-27 00:00:00+01:00,22.92,23.52,22.82,22.82,22.761552734375,170562.0,0.0,0.0
-2022-09-28 00:00:00+01:00,22.1,23.06,21.98,22.86,22.80145263671875,115333.0,0.0,0.0
-2022-09-29 00:00:00+01:00,22.84,22.900000000000002,22.04,22.36,22.30273193359375,131444.0,0.0,0.0
-2022-09-30 00:00:00+01:00,22.7,23.18,22.0,22.98,22.92114501953125,721076.0,0.0,0.0
-2022-10-03 00:00:00+01:00,22.0,23.740000000000002,22.0,23.6,23.5395556640625,411048.0,0.0,0.0
-2022-10-04 00:00:00+01:00,23.14,24.82,23.14,24.48,24.4173046875,359955.0,0.0,0.0
-2022-10-05 00:00:00+01:00,24.6,24.6,23.38,23.66,23.599401855468752,787207.0,0.0,0.0
-2022-10-06 00:00:00+01:00,23.3,24.36,23.3,24.16,24.10596923828125,179826.0,0.77,0.0
-2022-10-07 00:00:00+01:00,24.32,24.32,23.12,23.28,23.22793701171875,182711.0,0.0,0.0
-2022-10-10 00:00:00+01:00,23.0,23.28,22.240000000000002,22.44,22.389814453125002,138462.0,0.0,0.0
-2022-10-11 00:00:00+01:00,22.38,22.72,22.1,22.18,22.1303955078125,148515.0,0.0,0.0
-2022-10-12 00:00:00+01:00,23.12,23.12,21.88,22.16,22.110439453125,162450.0,0.0,0.0
-2022-10-13 00:00:00+01:00,22.740000000000002,22.740000000000002,21.12,21.900000000000002,21.851022949218752,326778.0,0.0,0.0
-2022-10-14 00:00:00+01:00,22.0,22.76,21.82,22.5,22.44968017578125,161983.0,0.0,0.0
-2022-10-17 00:00:00+01:00,22.86,23.01260009765625,22.2,22.94,22.8886962890625,116551.0,0.0,0.0
-2022-10-18 00:00:00+01:00,22.26,23.38,22.26,23.12,23.06829345703125,141461.0,0.0,0.0
-2022-10-19 00:00:00+01:00,23.0,23.16,22.240000000000002,22.36,22.30999267578125,104562.0,0.0,0.0
-2022-10-20 00:00:00+01:00,22.38,22.72,21.82,22.5,22.44968017578125,152158.0,0.0,0.0
-2022-10-21 00:00:00+01:00,22.5,23.1,22.28,23.0,22.9485595703125,104972.0,0.0,0.0
-2022-10-24 00:00:00+01:00,23.02,23.900000000000002,23.0,23.38,23.3277099609375,159898.0,0.0,0.0
-2022-10-25 00:00:00+01:00,23.72,24.46,23.42,24.16,24.10596923828125,85381.0,0.0,0.0
-2022-10-26 00:00:00+01:00,24.16,24.2,23.66,24.14,24.0860107421875,117490.0,0.0,0.0
-2022-10-27 00:00:00+01:00,24.080000000000002,24.54,23.88,24.34,24.285566406250002,238792.0,0.0,0.0
-2022-10-28 00:00:00+01:00,24.1,24.22,23.719599609375,24.080000000000002,24.0261474609375,122712.0,0.0,0.0
-2022-10-31 00:00:00+00:00,24.26,24.46,23.66,24.1,24.04610107421875,102273.0,0.0,0.0
-2022-11-01 00:00:00+00:00,24.5,24.94,24.02,24.22,24.16583251953125,72028.0,0.0,0.0
-2022-11-02 00:00:00+00:00,24.1,25.0,23.92,24.64,24.584892578125,145464.0,0.0,0.0
-2022-11-03 00:00:00+00:00,24.28,24.72,23.88,24.04,23.9862353515625,73546.0,0.0,0.0
-2022-11-04 00:00:00+00:00,24.240000000000002,25.080000000000002,23.60639892578125,24.28,24.2256982421875,69077.0,0.0,0.0
-2022-11-07 00:00:00+00:00,24.22,25.080000000000002,24.02,24.900000000000002,24.8443115234375,124283.0,0.0,0.0
-2022-11-08 00:00:00+00:00,24.580000000000002,25.22,24.580000000000002,25.22,25.16359619140625,153287.0,0.0,0.0
-2022-11-09 00:00:00+00:00,24.98,25.22,24.88,24.98,24.92413330078125,100019.0,0.0,0.0
-2022-11-10 00:00:00+00:00,24.82,26.54,24.64,26.2,26.14140625,132777.0,0.0,0.0
-2022-11-11 00:00:00+00:00,26.36,26.86,26.16,26.580000000000002,26.52055419921875,219220.0,0.0,0.0
-2022-11-14 00:00:00+00:00,26.3,27.1,26.26,26.96,26.89970458984375,128692.0,0.0,0.0
-2022-11-15 00:00:00+00:00,26.48,27.16,26.14,26.92,26.859794921875,186824.0,0.0,0.0
-2022-11-16 00:00:00+00:00,27.02,27.04,26.38,26.52,26.4606884765625,107714.0,0.0,0.0
-2022-11-17 00:00:00+00:00,26.76,26.76,25.8,26.7,26.6402880859375,111413.0,0.0,0.0
-2022-11-18 00:00:00+00:00,26.88,27.1,26.32,27.1,27.03939208984375,127583.0,0.0,0.0
-2022-11-21 00:00:00+00:00,27.96,29.15199951171875,27.43699951171875,27.740000000000002,27.677958984375,517109.0,0.0,0.0
-2022-11-22 00:00:00+00:00,28.0,28.0,26.86,27.66,27.5981396484375,209083.0,0.0,0.0
-2022-11-23 00:00:00+00:00,27.6,28.34,27.5,28.34,28.27661865234375,458322.0,0.0,0.0
-2022-11-24 00:00:00+00:00,29.0,29.26,27.6,28.8,28.73558837890625,189652.0,0.0,0.0
-2022-11-25 00:00:00+00:00,28.400000000000002,29.03300048828125,28.400000000000002,28.900000000000002,28.8353662109375,146017.0,0.0,0.0
-2022-11-28 00:00:00+00:00,28.7,29.1,28.0,29.1,29.03491943359375,255817.0,0.0,0.0
-2022-11-29 00:00:00+00:00,29.080000000000002,29.14,28.8,28.900000000000002,28.8353662109375,204232.0,0.0,0.0
-2022-11-30 00:00:00+00:00,28.76,29.62,28.76,29.5,29.434023437500002,538520.0,0.0,0.0
-2022-12-01 00:00:00+00:00,29.68,29.900000000000002,29.060000000000002,29.76,29.69344482421875,188618.0,0.0,0.0
-2022-12-02 00:00:00+00:00,29.88,30.560000000000002,29.3,29.48,29.41406982421875,384388.0,0.0,0.0
-2022-12-05 00:00:00+00:00,29.36,29.92,28.26,28.28,28.2167529296875,225089.0,0.0,0.0
-2022-12-06 00:00:00+00:00,28.1,28.48,27.78,27.94,27.8775146484375,320011.0,0.0,0.0
-2022-12-07 00:00:00+00:00,27.92,28.2,27.64,27.94,27.8775146484375,341034.0,0.0,0.0
-2022-12-08 00:00:00+00:00,27.78,28.080000000000002,27.72,27.92,27.85756103515625,219670.0,0.0,0.0
-2022-12-09 00:00:00+00:00,27.400000000000002,28.0,27.400000000000002,28.0,27.937380371093752,138547.0,0.0,0.0
-2022-12-12 00:00:00+00:00,28.400000000000002,28.76300048828125,27.72,28.240000000000002,28.17684326171875,128168.0,0.0,0.0
-2022-12-13 00:00:00+00:00,28.34,29.1,27.86,28.38,28.316530761718752,263580.0,0.0,0.0
-2022-12-14 00:00:00+00:00,28.0,28.36,27.86,28.22,28.15688720703125,62627.0,0.0,0.0
-2022-12-15 00:00:00+00:00,27.900000000000002,28.18,27.54,27.54,27.478408203125,256065.0,0.0,0.0
-2022-12-16 00:00:00+00:00,27.5,27.96,27.080000000000002,27.400000000000002,27.33872314453125,147966.0,0.0,0.0
-2022-12-19 00:00:00+00:00,27.52,27.9739990234375,27.38,27.52,27.4584521484375,62241.0,0.0,0.0
-2022-12-20 00:00:00+00:00,27.5,27.62,26.8,27.38,27.31876708984375,116737.0,0.0,0.0
-2022-12-21 00:00:00+00:00,27.64,28.1,27.24030029296875,27.86,27.79769287109375,47330.0,0.0,0.0
-2022-12-22 00:00:00+00:00,27.86,28.26,27.3,27.48,27.418544921875,59975.0,0.0,0.0
-2022-12-23 00:00:00+00:00,28.26,28.26,27.240000000000002,27.46,27.3985888671875,37424.0,0.0,0.0
-2022-12-28 00:00:00+00:00,27.44,27.7,27.22,27.42,27.3586767578125,39217.0,0.0,0.0
-2022-12-29 00:00:00+00:00,27.04,27.66,27.02,27.62,27.558229980468752,96876.0,0.0,0.0
-2022-12-30 00:00:00+00:00,26.96,27.66,26.96,27.240000000000002,27.179079589843752,23796.0,0.0,0.0
-2023-01-03 00:00:00+00:00,27.2,28.22,26.64,27.66,27.5981396484375,68033.0,0.0,0.0
-2023-01-04 00:00:00+00:00,27.54,27.98,27.1572998046875,27.88,27.81764892578125,68241.0,0.0,0.0
-2023-01-05 00:00:00+00:00,27.76,28.3,27.562900390625,28.04,27.9772900390625,99643.0,0.0,0.0
-2023-01-06 00:00:00+00:00,27.68,28.72,27.68,28.6,28.5360400390625,132308.0,0.0,0.0
-2023-01-09 00:00:00+00:00,27.0,28.72,26.529279785156252,28.0,27.937380371093752,144894.0,0.0,0.0
-2023-01-10 00:00:00+00:00,29.0,29.0,27.42,27.560000000000002,27.498361816406252,108914.0,0.0,0.0
-2023-01-11 00:00:00+00:00,28.8,28.8,27.36,28.32,28.2566650390625,117605.0,0.0,0.0
-2023-01-12 00:00:00+00:00,28.0,28.16,26.67,26.98,26.919658203125,394851.0,0.0,0.0
-2023-01-13 00:00:00+00:00,26.76,27.0839990234375,25.400000000000002,25.6,25.54274658203125,356966.0,0.0,0.0
-2023-01-16 00:00:00+00:00,25.0,26.080000000000002,24.86,25.18,25.1236865234375,336471.0,0.0,0.0
-2023-01-17 00:00:00+00:00,25.22,25.400000000000002,24.92,25.3,25.24341552734375,221386.0,0.0,0.0
-2023-01-18 00:00:00+00:00,25.66,26.78,25.37659912109375,26.240000000000002,26.181318359375002,1025972.0,0.0,0.0
-2023-01-19 00:00:00+00:00,27.0,27.0,25.98,26.62,26.56046630859375,102617.0,0.0,0.0
-2023-01-20 00:00:00+00:00,26.72,27.0,26.34,26.44,26.38086669921875,192758.0,0.0,0.0
-2023-01-23 00:00:00+00:00,26.48,26.650000000000002,25.86,26.12,26.06158447265625,159375.0,0.0,0.0
-2023-01-24 00:00:00+00:00,26.3,26.44,25.88,26.060000000000002,26.001718750000002,285494.0,0.0,0.0
-2023-01-25 00:00:00+00:00,26.5,28.04,26.18,27.740000000000002,27.677958984375,379047.0,0.0,0.0
-2023-01-26 00:00:00+00:00,27.86,28.26,27.66,27.740000000000002,27.677958984375,234863.0,0.0,0.0
-2023-01-27 00:00:00+00:00,27.900000000000002,28.48,27.44,28.44,28.37639404296875,96625.0,0.0,0.0
-2023-01-30 00:00:00+00:00,28.14,28.68,27.88,28.16,28.097021484375002,169732.0,0.0,0.0
-2023-01-31 00:00:00+00:00,28.060000000000002,28.400000000000002,27.84,28.400000000000002,28.336484375,250688.0,0.0,0.0
-2023-02-01 00:00:00+00:00,28.2,28.72,27.400000000000002,28.34,28.27661865234375,97416.0,0.0,0.0
-2023-02-02 00:00:00+00:00,28.68,29.560000000000002,28.1,29.2,29.13469482421875,245261.0,0.0,0.0
-2023-02-03 00:00:00+00:00,29.66,29.7,28.8,29.28,29.214514160156252,211695.0,0.0,0.0
-2023-02-06 00:00:00+00:00,29.02,29.48,28.92597900390625,29.04,28.9750537109375,78978.0,0.0,0.0
-2023-02-07 00:00:00+00:00,28.2,28.98,27.7,28.26,28.196796875,327488.0,0.0,0.0
-2023-02-08 00:00:00+00:00,28.7,28.7,28.0,28.36,28.296572265625002,88715.0,0.0,0.0
-2023-02-09 00:00:00+00:00,29.0,29.0,28.44,28.7,28.635812988281252,113023.0,0.0,0.0
-2023-02-10 00:00:00+00:00,28.8,28.89,28.02,28.02,27.95733642578125,169490.0,0.0,0.0
-2023-02-13 00:00:00+00:00,27.900000000000002,28.38,27.36,28.38,28.316530761718752,140602.0,0.0,0.0
-2023-02-14 00:00:00+00:00,27.060000000000002,28.560000000000002,27.060000000000002,28.0,27.937380371093752,107333.0,0.0,0.0
-2023-02-15 00:00:00+00:00,28.18,28.900000000000002,27.724599609375,28.84,28.77550048828125,129853.0,0.0,0.0
-2023-02-16 00:00:00+00:00,27.3,29.240000000000002,27.3,29.12,29.05487548828125,63977.0,0.0,0.0
-2023-02-17 00:00:00+00:00,29.96,29.96,28.5,28.5,28.436262207031252,75842.0,0.0,0.0
-2023-02-20 00:00:00+00:00,28.400000000000002,28.92,28.3,28.900000000000002,28.8353662109375,44533.0,0.0,0.0
-2023-02-21 00:00:00+00:00,28.580000000000002,29.14,28.580000000000002,28.8,28.73558837890625,176561.0,0.0,0.0
-2023-02-22 00:00:00+00:00,28.900000000000002,28.900000000000002,28.48,28.76,28.695681152343752,146264.0,0.0,0.0
-2023-02-23 00:00:00+00:00,28.82,29.34,28.66,28.88,28.81541015625,86655.0,0.0,0.0
-2023-02-24 00:00:00+00:00,28.98,28.98,28.240000000000002,28.42,28.3564404296875,69783.0,0.0,0.0
-2023-02-27 00:00:00+00:00,28.68,29.060000000000002,28.1,28.84,28.77550048828125,78772.0,0.0,0.0
-2023-02-28 00:00:00+00:00,28.62,29.1,28.580000000000002,28.92,28.855322265625002,386853.0,0.0,0.0
-2023-03-01 00:00:00+00:00,28.92,29.72,28.86,29.36,29.2943359375,106416.0,0.0,0.0
-2023-03-02 00:00:00+00:00,29.8,29.82,28.92,29.62,29.55375732421875,60874.0,0.0,0.0
-2023-03-03 00:00:00+00:00,29.8,29.92,29.22,29.44,29.37416015625,59389.0,0.0,0.0
-2023-03-06 00:00:00+00:00,29.46,29.54,29.02,29.240000000000002,29.17460693359375,68220.0,0.0,0.0
-2023-03-07 00:00:00+00:00,28.5,29.6,28.5,29.400000000000002,29.334248046875,69588.0,0.0,0.0
-2023-03-08 00:00:00+00:00,28.92,29.900000000000002,28.68280029296875,29.64,29.5737109375,57394.0,0.0,0.0
-2023-03-09 00:00:00+00:00,29.400000000000002,30.0,29.283999023437502,29.92,29.8530859375,85081.0,0.0,0.0
-2023-03-10 00:00:00+00:00,30.0,30.0,29.0,29.560000000000002,29.4938916015625,121079.0,0.0,0.0
-2023-03-13 00:00:00+00:00,29.26,29.48,28.48,28.48,28.41630615234375,451156.0,0.0,0.0
-2023-03-14 00:00:00+00:00,28.5,29.02,28.28,29.02,28.95509765625,173562.0,0.0,0.0
-2023-03-15 00:00:00+00:00,28.900000000000002,28.9418505859375,25.46,26.46,26.4008251953125,646146.0,0.0,0.0
-2023-03-16 00:00:00+00:00,26.14,26.88,26.14,26.48,26.420778808593752,240692.0,0.0,0.0
-2023-03-17 00:00:00+00:00,26.72,27.580000000000002,26.42,26.42,26.3609130859375,145813.0,0.0,0.0
-2023-03-20 00:00:00+00:00,26.02,27.28,25.82,26.88,26.81988525390625,156224.0,0.0,0.0
-2023-03-21 00:00:00+00:00,27.12,27.26,26.6,27.2,27.13916748046875,101085.0,0.0,0.0
-2023-03-22 00:00:00+00:00,27.04,27.28,26.68,27.060000000000002,26.99947998046875,61646.0,0.0,0.0
-2023-03-23 00:00:00+00:00,27.46,27.84,27.0,27.76,27.69791748046875,238904.0,0.0,0.0
-2023-03-24 00:00:00+00:00,27.66,27.8639990234375,27.18,27.7,27.6380517578125,151064.0,0.0,0.0
-2023-03-27 00:00:00+01:00,27.98,28.14,27.0,27.060000000000002,26.99947998046875,242115.0,0.0,0.0
-2023-03-28 00:00:00+01:00,27.12,27.12,26.34,26.6,26.540510253906252,162045.0,0.0,0.0
-2023-03-29 00:00:00+01:00,26.64,27.46,26.38,27.240000000000002,27.179079589843752,219929.0,0.0,0.0
-2023-03-30 00:00:00+01:00,27.76,29.080000000000002,27.650000000000002,28.080000000000002,28.0172021484375,285091.0,0.0,0.0
-2023-03-31 00:00:00+01:00,28.1,28.14,27.400000000000002,27.580000000000002,27.51831787109375,143041.0,0.0,0.0
-2023-04-03 00:00:00+01:00,27.580000000000002,27.580000000000002,27.14,27.26,27.19903564453125,100038.0,0.0,0.0
-2023-04-04 00:00:00+01:00,27.14,27.5535400390625,27.04,27.14,27.0793017578125,89315.0,0.0,0.0
-2023-04-05 00:00:00+01:00,27.6,27.8,25.48,25.5,25.44297119140625,174325.0,0.0,0.0
-2023-04-06 00:00:00+01:00,25.6,26.03199951171875,25.46,26.0,25.94185302734375,163437.0,0.0,0.0
-2023-04-11 00:00:00+01:00,26.0,26.580000000000002,25.86,26.22,26.161359863281252,148621.0,0.0,0.0
-2023-04-12 00:00:00+01:00,26.68,27.0,26.02,26.64,26.58042236328125,118071.0,0.0,0.0
-2023-04-13 00:00:00+01:00,26.96,27.400000000000002,26.68,27.18,27.1192138671875,338659.0,0.0,0.0
-2023-04-14 00:00:00+01:00,27.5,27.86,26.72,26.72,26.66024169921875,188709.0,0.0,0.0
-2023-04-17 00:00:00+01:00,26.78,27.060000000000002,26.0356005859375,26.98,26.919658203125,260010.0,0.0,0.0
-2023-04-18 00:00:00+01:00,28.0,28.0,26.86,27.2,27.13916748046875,110566.0,0.0,0.0
-2023-04-19 00:00:00+01:00,26.8,27.38,26.72,27.240000000000002,27.179079589843752,238055.0,0.0,0.0
-2023-04-20 00:00:00+01:00,27.78,27.78,26.66,26.66,26.6003759765625,136925.0,0.0,0.0
-2023-04-21 00:00:00+01:00,26.5,27.400000000000002,26.48,27.02,26.959570312500002,102818.0,0.0,0.0
-2023-04-24 00:00:00+01:00,26.400000000000002,27.36,26.400000000000002,27.0,26.93961669921875,53770.0,0.0,0.0
-2023-04-25 00:00:00+01:00,26.78,27.34,26.7,26.96,26.89970458984375,584252.0,0.0,0.0
-2023-04-26 00:00:00+01:00,26.78,26.82,26.32,26.64,26.58042236328125,82215.0,0.0,0.0
-2023-04-27 00:00:00+01:00,26.14,26.78,26.14,26.76,26.70015380859375,72994.0,0.0,0.0
-2023-04-28 00:00:00+01:00,27.18,27.18,26.62,27.0,26.93961669921875,63114.0,0.0,0.0
-2023-05-02 00:00:00+01:00,26.400000000000002,27.095419921875,26.34,26.34,26.28109130859375,142978.0,0.0,0.0
-2023-05-03 00:00:00+01:00,26.42,26.5,24.96,25.1,25.043867187500002,350646.0,0.0,0.0
-2023-05-04 00:00:00+01:00,25.0,25.080000000000002,22.68,22.68,22.62927734375,1493890.0,0.0,0.0
-2023-05-05 00:00:00+01:00,22.6,22.7,21.92,22.0,21.95079833984375,582476.0,0.0,0.0
-2023-05-09 00:00:00+01:00,22.5,22.84,21.75010009765625,22.5,22.44968017578125,529565.0,0.0,0.0
-2023-05-10 00:00:00+01:00,22.5,22.8,21.78,21.8,21.7512451171875,315844.0,0.0,0.0
-2023-05-11 00:00:00+01:00,21.7,23.38,21.7,23.06,23.008427734375,489035.0,0.0,0.0
-2023-05-12 00:00:00+01:00,23.34,23.38,22.72,23.38,23.3277099609375,283610.0,0.0,0.0
-2023-05-15 00:00:00+01:00,23.04,23.62,23.04,23.5,23.44744384765625,388932.0,0.0,0.0
-2023-05-16 00:00:00+01:00,23.36,23.54,23.02,23.3,23.247890625,395998.0,0.0,0.0
-2023-05-17 00:00:00+01:00,23.56,23.580000000000002,22.68,22.84,22.78891845703125,423318.0,0.0,0.0
-2023-05-18 00:00:00+01:00,22.96,23.240000000000002,22.42,22.72,22.669189453125,319457.0,0.0,0.0
-2023-05-19 00:00:00+01:00,22.5,22.9019091796875,22.04,22.46,22.40976806640625,421569.0,0.0,0.0
-2023-05-22 00:00:00+01:00,22.78,22.84,22.38,22.8,22.7490087890625,166747.0,0.0,0.0
-2023-05-23 00:00:00+01:00,23.2,23.22,22.38,22.38,22.3299462890625,309329.0,0.0,0.0
-2023-05-24 00:00:00+01:00,22.02,22.33969970703125,20.56,20.94,20.893171386718752,512827.0,0.0,0.0
-2023-05-25 00:00:00+01:00,20.52,21.0,20.32,20.32,20.2745556640625,729567.0,0.0,0.0
-2023-05-26 00:00:00+01:00,20.88,20.88,19.72,19.78,19.735762939453124,492367.0,0.0,0.0
-2023-05-30 00:00:00+01:00,19.92,20.0152001953125,19.35,19.41,19.366590576171877,690501.0,0.0,0.0
-2023-05-31 00:00:00+01:00,20.2,20.2,19.19,19.45,19.40650146484375,317942.0,0.0,0.0
-2023-06-01 00:00:00+01:00,19.66,19.740000000000002,19.150000000000002,19.47,19.442449951171877,304732.0,1.6,0.0
-2023-06-02 00:00:00+01:00,20.22,20.22,19.37,19.82,19.79195556640625,278304.0,0.0,0.0
-2023-06-05 00:00:00+01:00,19.62,19.72,17.92,18.17,18.14428955078125,461315.0,0.0,0.0
-2023-06-06 00:00:00+01:00,18.07,18.18,17.29,17.45,17.425308837890626,828912.0,0.0,0.0
-2023-06-07 00:00:00+01:00,17.73,18.41,17.73,18.32,18.294077148437502,554274.0,0.0,0.0
-2023-06-08 00:00:00+01:00,17.61,18.6747998046875,17.61,18.22,18.19421875,270247.0,0.0,0.0
-2023-06-09 00:00:00+01:00,18.330000000000002,18.63,17.93,18.52,18.493795166015627,341997.0,0.0,0.0
-2023-06-12 00:00:00+01:00,18.19,19.12,18.143199462890625,19.12,19.0929443359375,357760.0,0.0,0.0
-2023-06-13 00:00:00+01:00,19.2,19.77,18.94,19.400000000000002,19.372548828125,648503.0,0.0,0.0
-2023-06-14 00:00:00+01:00,19.740000000000002,19.92,19.27,19.6,19.572266845703126,362355.0,0.0,0.0
-2023-06-15 00:00:00+01:00,19.6,19.775000000000002,18.96,19.18,19.152860107421876,437837.0,0.0,0.0
-2023-06-16 00:00:00+01:00,19.87,19.87,19.065,19.41,19.3825341796875,635867.0,0.0,0.0
-2023-06-19 00:00:00+01:00,19.37,19.37,18.93,18.95,18.92318603515625,343892.0,0.0,0.0
-2023-06-20 00:00:00+01:00,19.39,19.39,18.61,18.67,18.64358154296875,240994.0,0.0,0.0
-2023-06-21 00:00:00+01:00,19.45,19.469520263671875,18.36,18.91,18.8832421875,276880.0,0.0,0.0
-2023-06-22 00:00:00+01:00,18.95,19.162230224609374,18.37,18.8,18.7733984375,186330.0,0.0,0.0
-2023-06-23 00:00:00+01:00,18.6,19.04,18.6,18.87,18.843298339843752,189003.0,0.0,0.0
-2023-06-26 00:00:00+01:00,19.0,19.04719970703125,18.32,18.57,18.543724365234375,411820.0,0.0,0.0
-2023-06-27 00:00:00+01:00,18.650000000000002,18.77,17.669100341796874,18.03,18.004488525390624,538190.0,0.0,0.0
-2023-06-28 00:00:00+01:00,18.0,18.2,17.92,18.2,18.174246826171874,210732.0,0.0,0.0
-2023-06-29 00:00:00+01:00,18.7,18.7,17.54,17.59,17.56510986328125,253575.0,0.0,0.0
-2023-06-30 00:00:00+01:00,17.67,18.11,17.43,18.1,18.074388427734377,150826.0,0.0,0.0
-2023-07-03 00:00:00+01:00,17.900000000000002,18.36,17.88,18.330000000000002,18.3040625,791780.0,0.0,0.0
-2023-07-04 00:00:00+01:00,18.400000000000002,18.522430419921875,18.12,18.42,18.393935546875,287173.0,0.0,0.0
-2023-07-05 00:00:00+01:00,18.56,18.580000000000002,18.255999755859374,18.36,18.334019775390626,160679.0,0.0,0.0
-2023-07-06 00:00:00+01:00,18.5,18.54,17.240000000000002,17.51,17.485223388671876,281127.0,0.0,0.0
-2023-07-07 00:00:00+01:00,17.51,17.51,16.69,17.1,17.07580322265625,290241.0,0.0,0.0
-2023-07-10 00:00:00+01:00,17.240000000000002,17.77,16.87,16.95,16.926015625,339775.0,0.0,0.0
-2023-07-11 00:00:00+01:00,17.5,17.5,16.12,16.14,16.117161865234376,371758.0,0.0,0.0
-2023-07-12 00:00:00+01:00,16.15,17.14,16.12,16.88,16.856114501953126,494734.0,0.0,0.0
-2023-07-13 00:00:00+01:00,17.0,17.330000000000002,16.85,16.89,16.86610107421875,155535.0,0.0,0.0
-2023-07-14 00:00:00+01:00,16.8,17.55,16.62,17.12,17.095775146484375,208870.0,0.0,0.0
-2023-07-17 00:00:00+01:00,17.0,17.17,16.740000000000002,16.9,16.87608642578125,155692.0,0.0,0.0
-2023-07-18 00:00:00+01:00,17.72,17.72,16.64,16.68,16.656397705078124,132785.0,0.0,0.0
-2023-07-19 00:00:00+01:00,17.1,17.62,16.87530029296875,17.62,17.595067138671876,396633.0,0.0,0.0
-2023-07-20 00:00:00+01:00,17.82,17.97,17.59,17.63,17.6050537109375,372626.0,0.0,0.0
-2023-07-21 00:00:00+01:00,17.86,18.063800048828124,17.6,17.88,17.85469970703125,257740.0,0.0,0.0
-2023-07-24 00:00:00+01:00,17.6,18.041500244140625,17.48,17.71,17.684940185546875,360104.0,0.0,0.0
-2023-07-25 00:00:00+01:00,17.740000000000002,18.22,17.57154052734375,17.86,17.834727783203125,209875.0,0.0,0.0
-2023-07-26 00:00:00+01:00,17.77,18.13,17.71,17.78,17.754842529296877,282136.0,0.0,0.0
-2023-07-27 00:00:00+01:00,17.78,18.19,17.7,18.06,18.034444580078127,198157.0,0.0,0.0
-2023-07-28 00:00:00+01:00,18.25,18.25,17.900000000000002,18.0,17.974530029296876,134365.0,0.0,0.0
-2023-07-31 00:00:00+01:00,17.990000000000002,18.0,17.448499755859377,17.62,17.595067138671876,266973.0,0.0,0.0
-2023-08-01 00:00:00+01:00,17.44,17.44,14.77,15.8,15.777642822265625,1707985.0,0.0,0.0
-2023-08-02 00:00:00+01:00,15.700000000000001,16.15,15.700000000000001,15.860000000000001,15.83755859375,597276.0,0.0,0.0
-2023-08-03 00:00:00+01:00,15.700000000000001,15.875,15.56,15.66,15.637841796875,720097.0,0.0,0.0
-2023-08-04 00:00:00+01:00,15.89,15.89,15.2875,15.450000000000001,15.428138427734375,130835.0,0.0,0.0
-2023-08-07 00:00:00+01:00,15.23,15.73,14.88,14.98,14.9588037109375,133228.0,0.0,0.0
-2023-08-08 00:00:00+01:00,14.8,15.18,14.65,14.93,14.908873291015626,187614.0,0.0,0.0
-2023-08-09 00:00:00+01:00,15.72,15.9,14.955999755859375,15.06,15.038690185546875,384876.0,0.0,0.0
-2023-08-10 00:00:00+01:00,15.06,15.11,14.450000000000001,14.5,14.479482421875,509873.0,0.0,0.0
-2023-08-11 00:00:00+01:00,15.0,15.07,14.6,14.75,14.72912841796875,498841.0,0.0,0.0
-2023-08-14 00:00:00+01:00,14.75,15.32,14.75,15.11,15.088619384765625,202173.0,0.0,0.0
-2023-08-15 00:00:00+01:00,15.120000000000001,15.18,14.68,14.84,14.819001464843751,167723.0,0.0,0.0
-2023-08-16 00:00:00+01:00,14.89,15.08,14.51,14.790000000000001,14.769072265625,172976.0,0.0,0.0
-2023-08-17 00:00:00+01:00,14.790000000000001,15.32,14.47,14.950000000000001,14.92884521484375,145057.0,0.0,0.0
-2023-08-18 00:00:00+01:00,14.4,14.96,14.4,14.85,14.828988037109376,246954.0,0.0,0.0
-2023-08-21 00:00:00+01:00,15.16,15.16,14.73,14.85,14.828988037109376,208997.0,0.0,0.0
-2023-08-22 00:00:00+01:00,14.82,15.17,14.75,14.85,14.828988037109376,89056.0,0.0,0.0
-2023-08-23 00:00:00+01:00,14.56,15.05,14.56,14.71,14.6891845703125,494801.0,0.0,0.0
-2023-08-24 00:00:00+01:00,14.98,14.993909912109375,14.71,14.71,14.6891845703125,102654.0,0.0,0.0
-2023-08-25 00:00:00+01:00,15.44,15.44,14.700000000000001,14.77,14.749100341796876,136975.0,0.0,0.0
-2023-08-29 00:00:00+01:00,14.96,15.52,14.85,15.49,15.4680810546875,146752.0,0.0,0.0
-2023-08-30 00:00:00+01:00,15.49,15.624000244140625,15.18,15.38,15.358237304687501,259486.0,0.0,0.0
-2023-08-31 00:00:00+01:00,15.35,15.51,15.18,15.25,15.228421630859375,312027.0,0.0,0.0
-2023-09-01 00:00:00+01:00,15.38,15.41,14.950000000000001,14.99,14.9687890625,122627.0,0.0,0.0
-2023-09-04 00:00:00+01:00,14.99,15.1,14.83,14.83,14.80901611328125,138450.0,0.0,0.0
-2023-09-05 00:00:00+01:00,14.8,14.83199951171875,14.42,14.66,14.63925537109375,173206.0,0.0,0.0
-2023-09-06 00:00:00+01:00,15.0,15.040000000000001,14.44,14.81,14.789044189453126,194887.0,0.0,0.0
-2023-09-07 00:00:00+01:00,14.83,15.6,14.46,15.530000000000001,15.50802490234375,243553.0,0.0,0.0
-2023-09-08 00:00:00+01:00,15.0,15.89,15.0,15.89,15.867515869140625,339473.0,0.0,0.0
-2023-09-11 00:00:00+01:00,16.22,16.32,14.68,14.73,14.709156494140625,274162.0,0.0,0.0
-2023-09-12 00:00:00+01:00,14.4,14.55,12.620000000000001,14.05,14.03011962890625,695308.0,0.0,0.0
-2023-09-13 00:00:00+01:00,14.09,15.47,13.790000000000001,15.44,15.41815185546875,359608.0,0.0,0.0
-2023-09-14 00:00:00+01:00,15.5,16.126199951171877,15.5,16.07,16.0472607421875,818615.0,0.0,0.0
-2023-09-15 00:00:00+01:00,16.31,16.32,15.57,15.63,15.607884521484376,470826.0,0.0,0.0
-2023-09-18 00:00:00+01:00,15.44,15.85,15.169410400390625,15.22,15.198463134765625,388020.0,0.0,0.0
-2023-09-19 00:00:00+01:00,15.11,15.58,14.9039599609375,15.32,15.29832275390625,244500.0,0.0,0.0
-2023-09-20 00:00:00+01:00,15.44,16.02,15.44,15.88,15.857530517578125,260949.0,0.0,0.0
-2023-09-21 00:00:00+01:00,15.610000000000001,15.83,15.0,15.19,15.168505859375001,380456.0,0.0,0.0
-2023-09-22 00:00:00+01:00,15.1,15.48,15.1,15.35,15.328280029296875,144967.0,0.0,0.0
-2023-09-25 00:00:00+01:00,15.35,15.6,14.960999755859376,15.19,15.168505859375001,326513.0,0.0,0.0
-2023-09-26 00:00:00+01:00,15.58,15.58,14.58,14.63,14.609298095703124,139051.0,0.0,0.0
-2023-09-27 00:00:00+01:00,14.58,15.34,14.48,15.13,15.10859130859375,140879.0,0.0,0.0
-2023-09-28 00:00:00+01:00,15.120000000000001,15.19,14.83,15.0,14.9787744140625,345116.0,0.0,0.0
-2023-09-29 00:00:00+01:00,15.0,15.610000000000001,15.0,15.47,15.448109130859375,256397.0,0.0,0.0
-2023-10-02 00:00:00+01:00,15.46,15.67,14.870000000000001,15.040000000000001,15.01871826171875,291241.0,0.0,0.0
-2023-10-03 00:00:00+01:00,14.71,14.89,14.0,14.05,14.03011962890625,179006.0,0.0,0.0
-2023-10-04 00:00:00+01:00,13.83,14.290000000000001,13.77,13.81,13.790458984375,237634.0,0.0,0.0
-2023-10-05 00:00:00+01:00,13.92,14.17,13.85,13.85,13.838919677734376,180284.0,0.85,0.0
-2023-10-06 00:00:00+01:00,14.450000000000001,14.450000000000001,13.55,13.99,13.978807373046875,116485.0,0.0,0.0
-2023-10-09 00:00:00+01:00,13.52,14.030000000000001,13.41,13.620000000000001,13.60910400390625,136545.0,0.0,0.0
-2023-10-10 00:00:00+01:00,13.89,14.55,13.72,14.55,14.538359375,245926.0,0.0,0.0
-2023-10-11 00:00:00+01:00,14.32,14.52,13.450000000000001,13.52,13.509183349609375,134243.0,0.0,0.0
-2023-10-12 00:00:00+01:00,14.0,14.0,13.38,13.51,13.49919189453125,112363.0,0.0,0.0
-2023-10-13 00:00:00+01:00,13.46,13.75,13.1,13.1,13.089520263671876,264982.0,0.0,0.0
-2023-10-16 00:00:00+01:00,13.1,13.42699951171875,12.69,13.31,13.299351806640626,142869.0,0.0,0.0
-2023-10-17 00:00:00+01:00,13.21,13.479949951171875,13.09300048828125,13.370000000000001,13.35930419921875,103846.0,0.0,0.0
-2023-10-18 00:00:00+01:00,13.5,13.5,12.69,12.75,12.7397998046875,586500.0,0.0,0.0
-2023-10-19 00:00:00+01:00,12.52,13.213499755859376,12.52,13.11,13.09951171875,200672.0,0.0,0.0
-2023-10-20 00:00:00+01:00,13.07,13.41,12.83,13.18,13.169455566406251,592696.0,0.0,0.0
-2023-10-23 00:00:00+01:00,13.25,13.4,13.0,13.33,13.3193359375,121413.0,0.0,0.0
-2023-10-24 00:00:00+01:00,13.42,13.64,13.0,13.1,13.089520263671876,173527.0,0.0,0.0
-2023-10-25 00:00:00+01:00,13.09,13.34,12.96,13.14,13.129487304687501,113657.0,0.0,0.0
-2023-10-26 00:00:00+01:00,13.0,13.280000000000001,12.96,13.1,13.089520263671876,162088.0,0.0,0.0
-2023-10-27 00:00:00+01:00,13.1,13.16,12.85,13.0,12.989599609375,172121.0,0.0,0.0
-2023-10-30 00:00:00+00:00,13.09,13.200000000000001,12.99,13.06,13.049552001953126,351486.0,0.0,0.0
-2023-10-31 00:00:00+00:00,13.01,13.3,13.0,13.05,13.039559326171876,380834.0,0.0,0.0
-2023-11-01 00:00:00+00:00,12.950000000000001,13.120000000000001,12.77843994140625,13.02,13.009583740234376,199402.0,0.0,0.0
-2023-11-02 00:00:00+00:00,13.1,13.46,13.040000000000001,13.34,13.329327392578126,414055.0,0.0,0.0
-2023-11-03 00:00:00+00:00,13.6,14.415000000000001,13.52384033203125,14.0,13.988800048828125,348357.0,0.0,0.0
-2023-11-06 00:00:00+00:00,14.13,14.48,13.530000000000001,13.66,13.649072265625,95127.0,0.0,0.0
-2023-11-07 00:00:00+00:00,13.5,13.93,13.5,13.84,13.82892822265625,164937.0,0.0,0.0
-2023-11-08 00:00:00+00:00,13.74,14.0456005859375,13.69,13.8,13.7889599609375,275526.0,0.0,0.0
-2023-11-09 00:00:00+00:00,13.950000000000001,14.19,13.71550048828125,13.85,13.838919677734376,308199.0,0.0,0.0
-2023-11-10 00:00:00+00:00,13.73,13.834399414062501,13.22,13.620000000000001,13.60910400390625,211940.0,0.0,0.0
-2023-11-13 00:00:00+00:00,13.5,13.72,13.4,13.55,13.53916015625,206951.0,0.0,0.0
-2023-11-14 00:00:00+00:00,13.5,14.41,13.42,14.14,14.128687744140626,714971.0,0.0,0.0
-2023-11-15 00:00:00+00:00,14.290000000000001,14.99,14.030000000000001,14.52,14.508383789062501,430958.0,0.0,0.0
-2023-11-16 00:00:00+00:00,14.08,14.505,14.08,14.23,14.218615722656251,193252.0,0.0,0.0
-2023-11-17 00:00:00+00:00,14.11,14.99,14.11,14.82,14.808143310546875,474070.0,0.0,0.0
-2023-11-20 00:00:00+00:00,14.77,15.120000000000001,14.77,14.98,14.968016357421876,127160.0,0.0,0.0
-2023-11-21 00:00:00+00:00,14.98,15.31,14.85,14.88,14.868095703125,312023.0,0.0,0.0
-2023-11-22 00:00:00+00:00,14.84,15.19,14.8,14.94,14.928048095703126,93813.0,0.0,0.0
-2023-11-23 00:00:00+00:00,14.96,15.055,14.67,14.88,14.868095703125,89248.0,0.0,0.0
-2023-11-24 00:00:00+00:00,14.76,14.9,14.67,14.85,14.8381201171875,118893.0,0.0,0.0
-2023-11-27 00:00:00+00:00,14.530000000000001,14.86,13.98,13.98,13.968815917968751,129900.0,0.0,0.0
-2023-11-28 00:00:00+00:00,13.84,14.14,13.19,13.34,13.329327392578126,377366.0,0.0,0.0
-2023-11-29 00:00:00+00:00,13.200000000000001,14.35,13.200000000000001,13.950000000000001,13.93884033203125,471577.0,0.0,0.0
-2023-11-30 00:00:00+00:00,13.8,14.11800048828125,13.44,13.68,13.669056396484375,348127.0,0.0,0.0
-2023-12-01 00:00:00+00:00,13.700000000000001,13.84,13.576400146484374,13.73,13.719016113281251,352771.0,0.0,0.0
-2023-12-04 00:00:00+00:00,14.0,14.0,13.120000000000001,13.16,13.149471435546875,104065.0,0.0,0.0
-2023-12-05 00:00:00+00:00,13.07,13.200000000000001,12.6,13.0,12.989599609375,303748.0,0.0,0.0
-2023-12-06 00:00:00+00:00,12.9,13.26,12.9,13.02,13.009583740234376,681974.0,0.0,0.0
-2023-12-07 00:00:00+00:00,13.4,13.4,12.56,12.82,12.80974365234375,193151.0,0.0,0.0
-2023-12-08 00:00:00+00:00,12.85,12.98,12.64,12.76,12.749791259765626,169002.0,0.0,0.0
-2023-12-11 00:00:00+00:00,12.700000000000001,13.530000000000001,12.700000000000001,13.36,13.3493115234375,316496.0,0.0,0.0
-2023-12-12 00:00:00+00:00,13.33,13.36,12.948399658203126,13.26,13.24939208984375,279752.0,0.0,0.0
-2023-12-13 00:00:00+00:00,13.4,13.48,13.16,13.41,13.399271240234375,223452.0,0.0,0.0
-2023-12-14 00:00:00+00:00,13.8,14.59,13.74,14.3,14.2885595703125,258358.0,0.0,0.0
-2023-12-15 00:00:00+00:00,13.71,14.31,13.71,14.13,14.1186962890625,433550.0,0.0,0.0
-2023-12-18 00:00:00+00:00,14.38,15.33740966796875,13.89,15.290000000000001,15.277767333984375,256957.0,0.0,0.0
-2023-12-19 00:00:00+00:00,15.290000000000001,15.700000000000001,15.040000000000001,15.46,15.4476318359375,152997.0,0.0,0.0
-2023-12-20 00:00:00+00:00,15.75,15.92,15.33,15.83,15.817335205078125,258981.0,0.0,0.0
-2023-12-21 00:00:00+00:00,15.73,16.03,15.34,16.02,16.007183837890626,160788.0,0.0,0.0
-2023-12-22 00:00:00+00:00,16.0,16.543089599609374,15.73,16.35,16.336920166015624,183509.0,0.0,0.0
-2023-12-27 00:00:00+00:00,16.1,16.95,16.0,16.69,16.67664794921875,332319.0,0.0,0.0
-2023-12-28 00:00:00+00:00,16.29,16.95,16.0,16.6,16.586719970703125,129658.0,0.0,0.0
-2023-12-29 00:00:00+00:00,16.66,16.77678955078125,16.606290283203126,16.62,16.6067041015625,54474.0,0.0,0.0
-2024-01-02 00:00:00+00:00,16.9,16.93,15.950000000000001,15.98,15.967215576171876,433331.0,0.0,0.0
-2024-01-03 00:00:00+00:00,16.45,16.45,15.583499755859375,15.8,15.787359619140625,212305.0,0.0,0.0
-2024-01-04 00:00:00+00:00,16.18,16.2,15.32,15.5,15.48760009765625,145849.0,0.0,0.0
-2024-01-05 00:00:00+00:00,15.43,15.63,14.84,15.34,15.327728271484375,178331.0,0.0,0.0
-2024-01-08 00:00:00+00:00,15.200000000000001,15.88,15.08,15.3,15.287760009765625,93619.0,0.0,0.0
-2024-01-09 00:00:00+00:00,15.450000000000001,15.32,15.21,15.280000000000001,15.26777587890625,236053.0,0.0,0.0
-2024-01-10 00:00:00+00:00,15.21,15.51,15.120000000000001,15.16,15.147872314453124,203338.0,0.0,0.0
-2024-01-11 00:00:00+00:00,15.21,15.44,14.73,14.73,14.71821533203125,128350.0,0.0,0.0
-2024-01-12 00:00:00+00:00,14.81,15.3,14.81,15.280000000000001,15.26777587890625,126422.0,0.0,0.0
-2024-01-15 00:00:00+00:00,15.085,15.32,14.86,14.86,14.848111572265625,86831.0,0.0,0.0
-2024-01-16 00:00:00+00:00,15.08,15.66,14.91,15.39,15.37768798828125,253055.0,0.0,0.0
-2024-01-17 00:00:00+00:00,15.040000000000001,15.5,14.450000000000001,14.540000000000001,14.528367919921875,114336.0,0.0,0.0
-2024-01-18 00:00:00+00:00,14.9,15.22,14.59,15.22,15.207823486328126,175262.0,0.0,0.0
-2024-01-19 00:00:00+00:00,15.450000000000001,15.450000000000001,14.89,14.89,14.87808837890625,93241.0,0.0,0.0
-2024-01-22 00:00:00+00:00,15.11,15.15,14.835,15.05,15.037960205078125,92117.0,0.0,0.0
-2024-01-23 00:00:00+00:00,14.51,15.63,14.51,15.3,15.287760009765625,96389.0,0.0,0.0
-2024-01-24 00:00:00+00:00,15.530000000000001,15.74,15.200000000000001,15.74,15.7274072265625,278489.0,0.0,0.0
-2024-01-25 00:00:00+00:00,15.32,15.84550048828125,15.030000000000001,15.55,15.537559814453125,476735.0,0.0,0.0
-2024-01-26 00:00:00+00:00,15.66,16.11,15.26,15.99,15.977208251953126,417225.0,0.0,0.0
-2024-01-29 00:00:00+00:00,15.91,16.240000000000002,15.69,16.240000000000002,16.227008056640624,112434.0,0.0,0.0
-2024-01-30 00:00:00+00:00,16.1,16.740000000000002,16.080000000000002,16.65,16.6366796875,156730.0,0.0,0.0
-2024-01-31 00:00:00+00:00,15.99,16.84,15.99,16.6,16.586719970703125,249055.0,0.0,0.0
-2024-02-01 00:00:00+00:00,16.55,16.89,16.44,16.78,16.766575927734376,230759.0,0.0,0.0
-2024-02-02 00:00:00+00:00,16.69,17.0,16.46,16.46,16.446832275390626,170565.0,0.0,0.0
-2024-02-05 00:00:00+00:00,16.26,16.79,16.175,16.31,16.296951904296876,130266.0,0.0,0.0
-2024-02-06 00:00:00+00:00,16.4,17.07,16.38,16.78,16.766575927734376,391036.0,0.0,0.0
-2024-02-07 00:00:00+00:00,16.7,17.16,16.55,17.09,17.076328125,215847.0,0.0,0.0
-2024-02-08 00:00:00+00:00,17.150000000000002,17.91,17.150000000000002,17.44,17.42604736328125,450151.0,0.0,0.0
-2024-02-09 00:00:00+00:00,17.46,17.80198974609375,17.07,17.18,17.166256103515625,242803.0,0.0,0.0
-2024-02-12 00:00:00+00:00,17.25,17.84,16.96,16.990000000000002,16.976407470703126,563881.0,0.0,0.0
-2024-02-13 00:00:00+00:00,16.85,16.885140380859376,16.330000000000002,16.51,16.4967919921875,68119.0,0.0,0.0
-2024-02-14 00:00:00+00:00,16.37,17.17,16.18530029296875,17.03,17.016375732421874,98220.0,0.0,0.0
-2024-02-15 00:00:00+00:00,16.51,17.39,16.51,16.96,16.946431884765627,102797.0,0.0,0.0
-2024-02-16 00:00:00+00:00,16.990000000000002,17.330000000000002,16.990000000000002,17.07,17.056343994140626,47249.0,0.0,0.0
-2024-02-19 00:00:00+00:00,17.07,17.271500244140626,16.82,17.14,17.126287841796877,465791.0,0.0,0.0
-2024-02-20 00:00:00+00:00,17.0,17.0,16.12,16.12,16.107103271484377,117840.0,0.0,0.0
-2024-02-21 00:00:00+00:00,16.44,16.52,16.09,16.18,16.1670556640625,616655.0,0.0,0.0
-2024-02-22 00:00:00+00:00,15.99,16.69,15.5,16.59,16.576727294921874,71029.0,0.0,0.0
-2024-02-23 00:00:00+00:00,16.61,16.66,15.9,16.2,16.187039794921876,616927.0,0.0,0.0
-2024-02-26 00:00:00+00:00,15.9,16.24449951171875,15.56,15.700000000000001,15.687440185546876,125089.0,0.0,0.0
-2024-02-27 00:00:00+00:00,15.5,15.88,15.34,15.57,15.557543945312501,506414.0,0.0,0.0
-2024-02-28 00:00:00+00:00,15.0,15.6,13.540000000000001,14.46,14.448431396484375,1617451.0,0.0,0.0
-2024-02-29 00:00:00+00:00,14.700000000000001,14.99,14.27,14.34,14.32852783203125,131744.0,0.0,0.0
-2024-03-01 00:00:00+00:00,14.52,14.83,14.0,14.68,14.668255615234376,710016.0,0.0,0.0
-2024-03-04 00:00:00+00:00,14.3,14.790000000000001,14.3,14.450000000000001,14.43843994140625,128631.0,0.0,0.0
-2024-03-05 00:00:00+00:00,14.43,14.5,14.13,14.3,14.2885595703125,226847.0,0.0,0.0
-2024-03-06 00:00:00+00:00,14.35,14.6,14.13,14.13,14.1186962890625,245345.0,0.0,0.0
-2024-03-07 00:00:00+00:00,14.36,14.36,13.55,13.55,13.53916015625,169908.0,0.0,0.0
-2024-03-08 00:00:00+00:00,13.55,13.84,13.26,13.3,13.2893603515625,591778.0,0.0,0.0
-2024-03-11 00:00:00+00:00,13.450000000000001,13.6,13.15,13.25,13.2393994140625,537344.0,0.0,0.0
-2024-03-12 00:00:00+00:00,13.0,13.74,13.0,13.700000000000001,13.689039306640625,652597.0,0.0,0.0
-2024-03-13 00:00:00+00:00,14.5,15.65,13.521639404296875,13.72,13.7090234375,1195682.0,0.0,0.0
-2024-03-14 00:00:00+00:00,13.82,14.59,13.34,14.32,14.308543701171875,1126694.0,0.0,0.0
-2024-03-15 00:00:00+00:00,14.3,14.56,14.02,14.26,14.24859130859375,1525658.0,0.0,0.0
-2024-03-18 00:00:00+00:00,14.34,14.620000000000001,14.02,14.24,14.228608398437501,462513.0,0.0,0.0
-2024-03-19 00:00:00+00:00,14.24,14.48,13.81,13.81,13.798951416015626,496898.0,0.0,0.0
-2024-03-20 00:00:00+00:00,13.83,14.02,12.780000000000001,13.33,13.3193359375,340715.0,0.0,0.0
-2024-03-21 00:00:00+00:00,13.48,13.809000244140625,13.23,13.34,13.329327392578126,276189.0,0.0,0.0
-2024-03-22 00:00:00+00:00,13.44,13.58,13.120000000000001,13.13,13.119495849609375,477630.0,0.0,0.0
-2024-03-25 00:00:00+00:00,13.5,13.5,12.64,12.64,12.629887695312501,437124.0,0.0,0.0
-2024-03-26 00:00:00+00:00,12.64,13.0,12.410699462890625,12.56,12.549952392578126,1102700.0,0.0,0.0
-2024-03-27 00:00:00+00:00,12.5,12.77,12.38,12.58,12.569935302734375,1158042.0,0.0,0.0
-2024-03-28 00:00:00+00:00,12.68,13.32,12.455,13.02,13.009583740234376,672275.0,0.0,0.0
-2024-04-02 00:00:00+01:00,12.9,13.13,12.38,12.46,12.45003173828125,420287.0,0.0,0.0
-2024-04-03 00:00:00+01:00,12.280000000000001,12.49,11.99,12.22,12.210223388671876,460217.0,0.0,0.0
-2024-04-04 00:00:00+01:00,12.200000000000001,12.17,12.0,12.0,11.990400390625,293870.0,0.0,0.0
-2024-04-05 00:00:00+01:00,11.98,12.037879638671875,11.6,11.65,11.640679931640625,395059.0,0.0,0.0
-2024-04-08 00:00:00+01:00,11.61,12.120000000000001,11.495000000000001,12.06,12.0503515625,810772.0,0.0,0.0
-2024-04-09 00:00:00+01:00,12.0,12.15,11.790000000000001,11.91,11.900472412109375,413918.0,0.0,0.0
-2024-04-10 00:00:00+01:00,11.950000000000001,12.33,11.8725,12.01,12.000391845703126,680979.0,0.0,0.0
-2024-04-11 00:00:00+01:00,12.08,12.31,11.868509521484375,11.94,11.930447998046875,280220.0,0.0,0.0
-2024-04-12 00:00:00+01:00,12.06,12.290000000000001,11.4,11.450000000000001,11.44083984375,359653.0,0.0,0.0
-2024-04-15 00:00:00+01:00,11.41,11.57,11.01,11.4,11.390880126953125,489256.0,0.0,0.0
-2024-04-16 00:00:00+01:00,11.200000000000001,11.78,11.07,11.51,11.500792236328126,294117.0,0.0,0.0
-2024-04-17 00:00:00+01:00,11.5,11.81050048828125,11.4,11.620000000000001,11.610704345703125,446216.0,0.0,0.0
-2024-04-18 00:00:00+01:00,11.43,11.83,11.43,11.71,11.70063232421875,280345.0,0.0,0.0
-2024-04-19 00:00:00+01:00,11.8,11.8,11.56,11.68,11.670655517578124,187448.0,0.0,0.0
-2024-04-22 00:00:00+01:00,11.5,12.06,11.5,11.72,11.710623779296876,233273.0,0.0,0.0
-2024-04-23 00:00:00+01:00,11.870000000000001,11.89,11.72,11.72,11.710623779296876,164436.0,0.0,0.0
-2024-04-24 00:00:00+01:00,12.08,12.08,11.370000000000001,11.51,11.500792236328126,185184.0,0.0,0.0
-2024-04-25 00:00:00+01:00,11.700000000000001,11.700000000000001,11.1,11.36,11.350911865234375,295818.0,0.0,0.0
-2024-04-26 00:00:00+01:00,11.31,11.64,11.230880126953124,11.39,11.380887451171875,144819.0,0.0,0.0
-2024-04-29 00:00:00+01:00,11.15,11.82,11.15,11.82,11.81054443359375,119071.0,0.0,0.0
-2024-04-30 00:00:00+01:00,11.98,11.99,11.42,11.5,11.490799560546876,199939.0,0.0,0.0
-2024-05-01 00:00:00+01:00,12.01,12.01,11.32,11.59,11.5807275390625,165171.0,0.0,0.0
-2024-05-02 00:00:00+01:00,11.57,11.66,11.3,11.66,11.65067138671875,305855.0,0.0,0.0
-2024-05-03 00:00:00+01:00,11.85,11.96,11.6,11.75,11.740599365234376,158727.0,0.0,0.0
-2024-05-07 00:00:00+01:00,12.13,12.19,11.57,11.790000000000001,11.780567626953125,116963.0,0.0,0.0
-2024-05-08 00:00:00+01:00,12.15,12.804000244140624,11.99,12.67,12.65986328125,362985.0,0.0,0.0
-2024-05-09 00:00:00+01:00,12.65,12.71,12.18,12.66,12.649871826171875,261229.0,0.0,0.0
-2024-05-10 00:00:00+01:00,12.47,12.97,12.47,12.89,12.879687500000001,187666.0,0.0,0.0
-2024-05-13 00:00:00+01:00,12.8,13.120000000000001,12.58,12.8,12.789759521484376,164449.0,0.0,0.0
-2024-05-14 00:00:00+01:00,12.6,13.237950439453126,12.6,13.08,13.0695361328125,166908.0,0.0,0.0
-2024-05-15 00:00:00+01:00,13.36,13.48,13.030000000000001,13.450000000000001,13.439239501953125,178857.0,0.0,0.0
-2024-05-16 00:00:00+01:00,13.450000000000001,14.0,13.450000000000001,14.0,13.988800048828125,314200.0,0.0,0.0
-2024-05-17 00:00:00+01:00,14.13,14.8,13.780000000000001,14.700000000000001,14.68823974609375,558689.0,0.0,0.0
-2024-05-20 00:00:00+01:00,24.5,24.98,22.82,22.82,22.8017431640625,8292215.0,0.0,0.0
-2024-05-21 00:00:00+01:00,23.02,23.44,22.400000000000002,22.56,22.54195068359375,1407097.0,0.0,0.0
-2024-05-22 00:00:00+01:00,22.46,22.64,22.0,22.0,21.98239990234375,723017.0,0.0,0.0
-2024-05-23 00:00:00+01:00,21.98,22.47597900390625,21.62,22.3,22.3,1522184.0,1.76,0.0
-2024-05-24 00:00:00+01:00,22.240000000000002,22.3,21.68,22.14,22.14,644971.0,0.0,0.0
-2024-05-28 00:00:00+01:00,22.2,22.6,22.06,22.5,22.5,311246.0,0.0,0.0
-2024-05-29 00:00:00+01:00,22.48,22.6010009765625,22.16,22.3,22.3,1482854.0,0.0,0.0
-2024-05-30 00:00:00+01:00,22.5,22.62,22.3,22.32,22.32,138373.0,0.0,0.0
-2024-05-31 00:00:00+01:00,22.0,22.48,22.0,22.34,22.34,695505.0,0.0,0.0
-2024-06-03 00:00:00+01:00,22.2,22.48,22.1,22.36,22.36,148218.0,0.0,0.0
-2024-06-04 00:00:00+01:00,22.36,22.36,21.75,22.0,22.0,1289764.0,0.0,0.0
-2024-06-05 00:00:00+01:00,22.36,22.36,21.8,22.02,22.02,295325.0,0.0,0.0
-2024-06-06 00:00:00+01:00,22.02,22.145700683593752,21.78,22.04,22.04,463598.0,0.0,0.0
-2024-06-07 00:00:00+01:00,22.1,22.2,21.740000000000002,21.98,21.98,799873.0,0.0,0.0
-2024-06-10 00:00:00+01:00,21.900000000000002,22.02,21.64,21.64,21.64,588812.0,0.0,0.0
-2024-06-11 00:00:00+01:00,21.84,22.1,21.400000000000002,21.42,21.42,323278.0,0.0,0.0
-2024-06-12 00:00:00+01:00,21.72,21.72,21.2,21.5,21.5,961776.0,0.0,0.0
-2024-06-13 00:00:00+01:00,21.7,21.7,21.0,21.36,21.36,731949.0,0.0,0.0
-2024-06-14 00:00:00+01:00,21.72,22.62,21.435,22.62,22.62,1564845.0,0.0,0.0
-2024-06-17 00:00:00+01:00,22.42,22.60555908203125,22.05300048828125,22.3,22.3,543001.0,0.0,0.0
-2024-06-18 00:00:00+01:00,22.5,22.5,22.011999511718752,22.28,22.28,302283.0,0.0,0.0
-2024-06-19 00:00:00+01:00,22.0,22.36,21.94,22.0,22.0,261639.0,0.0,0.0
-2024-06-20 00:00:00+01:00,22.5,22.5,21.900000000000002,22.400000000000002,22.400000000000002,298140.0,0.0,0.0
-2024-06-21 00:00:00+01:00,22.5,22.900000000000002,22.22,22.38,22.38,374718.0,0.0,0.0
-2024-06-24 00:00:00+01:00,22.400000000000002,22.62,22.2,22.38,22.38,182607.0,0.0,0.0
-2024-06-25 00:00:00+01:00,22.3,22.32,21.32049072265625,21.92,21.92,1156786.0,0.0,0.0
-2024-06-26 00:00:00+01:00,22.0,22.0,21.44,21.740000000000002,21.740000000000002,1321707.0,0.0,0.0
-2024-06-27 00:00:00+01:00,21.86,21.92,21.6,21.78,21.78,1192605.0,0.0,0.0
-2024-06-28 00:00:00+01:00,23.1,23.21093994140625,22.88800048828125,23.12,23.12,5166863.0,0.0,0.0
-2024-07-01 00:00:00+01:00,23.26,23.26,23.06,23.080000000000002,23.080000000000002,904708.0,0.0,0.0
-2024-07-02 00:00:00+01:00,23.080000000000002,23.240000000000002,23.06,23.18,23.18,800296.0,0.0,0.0
-2024-07-03 00:00:00+01:00,23.84,23.900000000000002,23.78333984375,23.900000000000002,23.900000000000002,8961383.0,0.0,0.0
-2024-07-04 00:00:00+01:00,23.92,23.94,23.83340087890625,23.86,23.86,1175939.0,0.0,0.0
-2024-07-05 00:00:00+01:00,23.900000000000002,23.96,23.86,23.88,23.88,969052.0,0.0,0.0
-2024-07-08 00:00:00+01:00,23.88,24.060000000000002,23.88,23.88,23.88,420214.0,0.0,0.0
-2024-07-09 00:00:00+01:00,23.92,23.96,23.86,23.900000000000002,23.900000000000002,1264139.0,0.0,0.0
-2024-07-10 00:00:00+01:00,23.88,23.94,23.88,23.900000000000002,23.900000000000002,371085.0,0.0,0.0
-2024-07-11 00:00:00+01:00,23.84,23.92,23.82,23.82,23.82,458586.0,0.0,0.0
-2024-07-12 00:00:00+01:00,23.82,23.88,23.82,23.88,23.88,681277.0,0.0,0.0
-2024-07-15 00:00:00+01:00,23.84,23.88,23.84,23.86,23.86,739304.0,0.0,0.0
-2024-07-16 00:00:00+01:00,23.88,23.883859863281252,23.84,23.86,23.86,1130090.0,0.0,0.0
-2024-07-17 00:00:00+01:00,23.88,23.88,23.86,23.86,23.86,755831.0,0.0,0.0
-2024-07-18 00:00:00+01:00,23.88,23.900000000000002,23.86,23.900000000000002,23.900000000000002,960170.0,0.0,0.0
-2024-07-19 00:00:00+01:00,23.900000000000002,23.94,23.86,23.94,23.94,195271.0,0.0,0.0
-2024-07-22 00:00:00+01:00,23.88,23.92,23.8,23.84,23.84,3036352.0,0.0,0.0
-2024-07-23 00:00:00+01:00,23.82,23.86,23.8,23.82,23.82,1083480.0,0.0,0.0
-2024-07-24 00:00:00+01:00,23.84,23.88,23.8,23.8,23.8,1445489.0,0.0,0.0
-2024-07-25 00:00:00+01:00,23.84,23.900000000000002,23.8,23.8,23.8,582850.0,0.0,0.0
-2024-07-26 00:00:00+01:00,23.96,23.96,23.8,23.8,23.8,675264.0,0.0,0.0
-2024-07-29 00:00:00+01:00,23.84,23.88,23.5783203125,23.84,23.84,1403210.0,0.0,0.0
-2024-07-30 00:00:00+01:00,23.84,23.88,23.82,23.84,23.84,1286201.0,0.0,0.0
-2024-07-31 00:00:00+01:00,23.86,23.88,23.82,23.88,23.88,308556.0,0.0,0.0
-2024-08-01 00:00:00+01:00,23.900000000000002,23.900000000000002,23.84,23.84,23.84,139383.0,0.0,0.0
-2024-08-02 00:00:00+01:00,24.2,24.2,23.84,23.84,23.84,402227.0,0.0,0.0
-2024-08-05 00:00:00+01:00,23.84,23.88,23.8,23.88,23.88,2543161.0,0.0,0.0
-2024-08-06 00:00:00+01:00,23.900000000000002,24.060000000000002,23.82,23.88,23.88,805371.0,0.0,0.0
-2024-08-07 00:00:00+01:00,23.900000000000002,23.92,23.84,23.86,23.86,1753790.0,0.0,0.0
-2024-08-08 00:00:00+01:00,23.86,23.92,23.86,23.88,23.88,191998.0,0.0,0.0
-2024-08-09 00:00:00+01:00,23.900000000000002,23.98,23.86,23.98,23.98,289215.0,0.0,0.0
-2024-08-12 00:00:00+01:00,23.96,24.0,23.92,24.0,24.0,513766.0,0.0,0.0
-2024-08-13 00:00:00+01:00,24.0,24.04,23.94,24.04,24.04,185320.0,0.0,0.0
-2024-08-14 00:00:00+01:00,24.0,24.3,23.96,24.3,24.3,300442.0,0.0,0.0
-2024-08-15 00:00:00+01:00,24.1,24.12,24.0,24.02,24.02,222740.0,0.0,0.0
-2024-08-16 00:00:00+01:00,24.1,24.1,23.98,23.98,23.98,255770.0,0.0,0.0
-2024-08-19 00:00:00+01:00,24.080000000000002,24.080000000000002,23.96,24.0,24.0,229725.0,0.0,0.0
-2024-08-20 00:00:00+01:00,24.0,24.04,23.98,24.0,24.0,261084.0,0.0,0.0
-2024-08-21 00:00:00+01:00,24.080000000000002,24.080000000000002,23.98,24.060000000000002,24.060000000000002,1086506.0,0.0,0.0
-2024-08-22 00:00:00+01:00,24.080000000000002,24.080000000000002,24.02,24.060000000000002,24.060000000000002,163317.0,0.0,0.0
-2024-08-23 00:00:00+01:00,24.080000000000002,24.080000000000002,24.0,24.080000000000002,24.080000000000002,202364.0,0.0,0.0
-2024-08-27 00:00:00+01:00,24.060000000000002,24.18,24.02,24.060000000000002,24.060000000000002,245203.0,0.0,0.0
-2024-08-28 00:00:00+01:00,24.02,24.12,24.02,24.04,24.04,349423.0,0.0,0.0
-2024-08-29 00:00:00+01:00,24.04,24.12,24.04,24.060000000000002,24.060000000000002,187436.0,0.0,0.0
-2024-08-30 00:00:00+01:00,24.16,24.3,24.02,24.26,24.26,1493472.0,0.0,0.0
-2024-09-02 00:00:00+01:00,24.240000000000002,24.28,24.22,24.240000000000002,24.240000000000002,397048.0,0.0,0.0
-2024-09-03 00:00:00+01:00,24.240000000000002,24.28,24.22,24.22,24.22,526456.0,0.0,0.0
-2024-09-04 00:00:00+01:00,24.240000000000002,24.33919921875,24.22,24.240000000000002,24.240000000000002,830622.0,0.0,0.0
-2024-09-05 00:00:00+01:00,24.26,24.28,24.240000000000002,24.240000000000002,24.240000000000002,2561655.0,0.0,0.0
-2024-09-06 00:00:00+01:00,24.240000000000002,24.3,24.240000000000002,24.240000000000002,24.240000000000002,2621382.0,0.0,0.0
-2024-09-09 00:00:00+01:00,24.240000000000002,24.333601074218752,24.240000000000002,24.26,24.26,946993.0,0.0,0.0
-2024-09-10 00:00:00+01:00,24.28,24.38,24.240000000000002,24.28,24.28,1955248.0,0.0,0.0
-2024-09-11 00:00:00+01:00,24.28,24.3,24.255720214843752,24.26,24.26,3357431.0,0.0,0.0
-2024-09-12 00:00:00+01:00,24.28,24.32,24.26,24.3,24.3,1396090.0,0.0,0.0
-2024-09-13 00:00:00+01:00,24.26,24.3,24.26,24.26,24.26,539753.0,0.0,0.0
-2024-09-16 00:00:00+01:00,24.28,24.3,24.26,24.28,24.28,3548116.0,0.0,0.0
-2024-09-17 00:00:00+01:00,24.3,24.3143994140625,24.28,24.28,24.28,6116775.0,0.0,0.0
-2024-09-18 00:00:00+01:00,24.28,24.3,24.26,24.28,24.28,1315109.0,0.0,0.0
-2024-09-19 00:00:00+01:00,24.28,24.307199707031252,24.28,24.28,24.28,3447049.0,0.0,0.0
-2024-09-20 00:00:00+01:00,24.28,24.301000976562502,24.28,24.3,24.3,949712.0,0.0,0.0
-2024-09-23 00:00:00+01:00,24.3,24.34,24.28,24.28,24.28,1165867.0,0.0,0.0
-2024-09-24 00:00:00+01:00,24.3,24.34,24.29,24.3,24.3,417334.0,0.0,0.0
-2024-09-25 00:00:00+01:00,24.32,24.356000976562502,24.28,24.32,24.32,1311755.0,0.0,0.0
-2024-09-26 00:00:00+01:00,24.3,24.36,24.3,24.32,24.32,2165924.0,0.0,0.0
-2024-09-27 00:00:00+01:00,24.34,24.385,24.32,24.34,24.34,191057.0,0.0,0.0
-2024-09-30 00:00:00+01:00,24.36,24.36,24.3,24.36,24.36,418219.0,0.0,0.0
-2024-10-01 00:00:00+01:00,24.36,24.38,24.34,24.34,24.34,834978.0,0.0,0.0
-2024-10-02 00:00:00+01:00,24.34,24.38,24.34,24.36,24.36,321113.0,0.0,0.0
-2024-10-03 00:00:00+01:00,24.36,24.400000000000002,24.36,24.36,24.36,119311.0,0.0,0.0
-2024-10-04 00:00:00+01:00,24.400000000000002,24.400000000000002,24.355380859375,24.38,24.38,408506.0,0.0,0.0
-2024-10-07 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.400000000000002,24.400000000000002,934866.0,0.0,0.0
-2024-10-08 00:00:00+01:00,24.38,24.400000000000002,24.36,24.38,24.38,351909.0,0.0,0.0
-2024-10-09 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.36,24.36,373356.0,0.0,0.0
-2024-10-10 00:00:00+01:00,24.36,24.400000000000002,24.36,24.38,24.38,566301.0,0.0,0.0
-2024-10-11 00:00:00+01:00,24.400000000000002,24.400000000000002,24.36,24.38,24.38,88197.0,0.0,0.0
-2024-10-14 00:00:00+01:00,24.42,24.42,24.36,24.36,24.36,2859472.0,0.0,0.0
-2024-10-15 00:00:00+01:00,24.38,24.42,24.38,24.400000000000002,24.400000000000002,1387949.0,0.0,0.0
-2024-10-16 00:00:00+01:00,24.42,24.42,24.38,24.38,24.38,518018.0,0.0,0.0
-2024-10-17 00:00:00+01:00,24.42,24.42,24.378291015625,24.38,24.38,1199504.0,0.0,0.0
-2024-10-18 00:00:00+01:00,24.400000000000002,24.52,24.38,24.400000000000002,24.400000000000002,612904.0,0.0,0.0
-2024-10-21 00:00:00+01:00,24.42,24.46,24.42,24.44,24.44,937999.0,0.0,0.0
-2024-10-22 00:00:00+01:00,24.46,24.48,24.44,24.46,24.46,9890907.0,0.0,0.0
-2024-10-23 00:00:00+01:00,24.46,24.46,24.46,24.46,24.46,0.0,0.0,0.0
-2024-10-24 00:00:00+01:00,,,,,,,0.0,0.0
-2024-10-25 00:00:00+01:00,,,,,,,0.0,0.0
-2024-10-28 00:00:00+00:00,,,,,,,0.0,0.0
-2024-10-29 00:00:00+00:00,,,,,,,0.0,0.0
-2024-10-30 00:00:00+00:00,,,,,,,0.0,0.0
-2024-10-31 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-01 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-04 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-05 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-06 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-07 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-08 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-11 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-12 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-13 00:00:00+00:00,,,,,,,0.0,0.0
-2024-11-14 00:00:00+00:00,,,,,,,0.0,0.0
--- a/tests/data/SCR-TO-1d-bad-div-fixed.csv
+++ b/tests/data/SCR-TO-1d-bad-div-fixed.csv
--- a/tests/data/SOLB-BR-1d-bad-div-fixed.csv
+++ b/tests/data/SOLB-BR-1d-bad-div-fixed.csv
@@ -1,741 +0,0 @@
-Datetime,Open,High,Low,Close,Adj Close,Volume,Dividends,Stock Splits,Repaired?
-2022-01-03 00:00:00+01:00,20.400468826293945,20.80828094482422,20.400468826293945,20.629241943359375,20.04158073767676,559352,0.0,0.0,True
-2022-01-04 00:00:00+01:00,20.649133682250977,20.897798538208008,20.5098819732666,20.848066329956055,20.254170979989347,930594,0.0,0.0,True
-2022-01-05 00:00:00+01:00,20.897798538208008,21.126571655273438,20.838119506835938,21.126571655273438,20.524743211692808,572100,0.0,0.0,True
-2022-01-06 00:00:00+01:00,20.887853622436523,21.126571655273438,20.599401473999023,20.967424392700195,20.37013149695311,532086,0.0,0.0,True
-2022-01-07 00:00:00+01:00,21.007211685180664,21.186250686645508,20.867958068847656,21.126571655273438,20.524743211692808,698666,0.0,0.0,True
-2022-01-10 00:00:00+01:00,21.186250686645508,21.245929718017578,20.997264862060547,21.05694580078125,20.457101019221444,972438,0.0,0.0,True
-2022-01-11 00:00:00+01:00,21.226036071777344,21.514488220214844,21.226036071777344,21.37523651123047,20.766324448700836,894602,0.0,0.0,True
-2022-01-12 00:00:00+01:00,21.564220428466797,21.604007720947266,21.0469970703125,21.216089248657227,20.611711003052147,838352,0.0,0.0,True
-2022-01-13 00:00:00+01:00,20.897798538208008,21.14646339416504,20.897798538208008,21.14646339416504,20.558603716304646,514241,0.015,0.0,True
-2022-01-14 00:00:00+01:00,20.897798538208008,21.066890716552734,20.80828094482422,21.0271053314209,20.442562606650853,708327,0.0,0.0,True
-2022-01-17 00:00:00+01:00,21.106678009033203,21.633846282958984,21.0469970703125,21.554275512695312,20.95507670278679,947841,0.0,0.0,True
-2022-01-18 00:00:00+01:00,21.454809188842773,21.484647750854492,21.156410217285156,21.405075073242188,20.81002451088455,966355,0.0,0.0,True
-2022-01-19 00:00:00+01:00,21.37523651123047,21.822832107543945,21.295663833618164,21.78304672241211,21.177492853798224,1597827,0.0,0.0,True
-2022-01-20 00:00:00+01:00,21.802940368652344,22.111284255981445,21.544328689575195,21.981977462768555,21.370893093551224,1563328,0.0,0.0,True
-2022-01-21 00:00:00+01:00,21.74325942993164,21.94219207763672,21.415021896362305,21.65374183654785,21.051780846838273,1539782,0.0,0.0,True
-2022-01-24 00:00:00+01:00,21.484647750854492,21.58411407470703,20.887853622436523,20.997264862060547,20.413553134072398,1334240,0.0,0.0,True
-2022-01-25 00:00:00+01:00,21.156410217285156,21.186250686645508,20.877906799316406,20.917692184448242,20.336192394303197,1198631,0.0,0.0,True
-2022-01-26 00:00:00+01:00,20.997264862060547,21.72336769104004,20.997264862060547,21.415021896362305,20.819697017860687,913216,0.0,0.0,True
-2022-01-27 00:00:00+01:00,21.11662483215332,21.862619400024414,21.0469970703125,21.6437931060791,21.04210673019215,765306,0.0,0.0,True
-2022-01-28 00:00:00+01:00,21.554275512695312,21.65374183654785,21.126571655273438,21.484647750854492,20.887385250653754,1109097,0.0,0.0,True
-2022-01-31 00:00:00+01:00,21.6239013671875,21.65374183654785,21.066890716552734,21.186250686645508,20.597285695859238,999557,0.0,0.0,True
-2022-02-01 00:00:00+01:00,21.27577018737793,21.405075073242188,21.05694580078125,21.11662483215332,20.529594243726194,732572,0.0,0.0,True
-2022-02-02 00:00:00+01:00,21.52443504333496,22.021764755249023,21.454809188842773,21.753206253051758,21.1484769425398,1195479,0.0,0.0,True
-2022-02-03 00:00:00+01:00,21.773099899291992,21.892459869384766,21.6239013671875,21.773099899291992,21.167820346822086,906159,0.0,0.0,True
-2022-02-04 00:00:00+01:00,21.87256622314453,21.87256622314453,21.345396041870117,21.424968719482422,20.829366305496844,763864,0.0,0.0,True
-2022-02-07 00:00:00+01:00,21.574167251586914,21.574167251586914,21.265823364257812,21.415021896362305,20.819697017860687,382854,0.0,0.0,True
-2022-02-08 00:00:00+01:00,21.36528968811035,21.78304672241211,21.36528968811035,21.713420867919922,21.109798182325196,1006721,0.0,0.0,True
-2022-02-09 00:00:00+01:00,21.812885284423828,21.991924285888672,21.733312606811523,21.981977462768555,21.370893093551224,893571,0.0,0.0,True
-2022-02-10 00:00:00+01:00,22.021764755249023,22.210750579833984,21.962085723876953,22.041658401489258,21.428912038708134,851844,0.0,0.0,True
-2022-02-11 00:00:00+01:00,21.882511138916016,22.06155014038086,21.713420867919922,21.882511138916016,21.274188949499745,893486,0.0,0.0,True
-2022-02-14 00:00:00+01:00,21.514488220214844,21.514488220214844,20.818225860595703,21.14646339416504,20.558603716304646,1234728,0.0,0.0,True
-2022-02-15 00:00:00+01:00,21.007211685180664,21.713420867919922,20.967424392700195,21.673633575439453,21.071116202770604,687285,0.0,0.0,True
-2022-02-16 00:00:00+01:00,21.713420867919922,22.06155014038086,21.713420867919922,22.06155014038086,21.448250613980445,798177,0.0,0.0,True
-2022-02-17 00:00:00+01:00,22.021764755249023,22.081443786621094,21.763153076171875,21.832778930664062,21.22583929197899,684218,0.0,0.0,True
-2022-02-18 00:00:00+01:00,21.832778930664062,21.892459869384766,21.385181427001953,21.544328689575195,20.945407415150648,737030,0.0,0.0,True
-2022-02-21 00:00:00+01:00,21.673633575439453,21.68358039855957,20.92763900756836,21.126571655273438,20.539265141032338,677844,0.0,0.0,True
-2022-02-22 00:00:00+01:00,20.529775619506836,21.196197509765625,20.32089614868164,20.95747947692871,20.374872764187796,1273455,0.0,0.0,True
-2022-02-23 00:00:00+01:00,21.415021896362305,21.862619400024414,20.987319946289062,21.216089248657227,20.626295168437693,1732461,0.0,0.0,True
-2022-02-24 00:00:00+01:00,20.48004150390625,20.877906799316406,19.51124382019043,19.70221710205078,19.154507899163683,2560976,0.0,0.0,True
-2022-02-25 00:00:00+01:00,19.903139114379883,20.291057586669922,19.475435256958008,20.201536178588867,19.639945736380405,1423396,0.0,0.0,True
-2022-02-28 00:00:00+01:00,19.773834228515625,19.903139114379883,19.308332443237305,19.837491989135742,19.28602115677132,1569727,0.0,0.0,True
-2022-03-01 00:00:00+01:00,19.77781105041504,19.95287322998047,18.73938751220703,18.73938751220703,18.218442947956373,1308216,0.0,0.0,True
-2022-03-02 00:00:00+01:00,18.536476135253906,19.12929344177246,18.17840003967285,18.966169357299805,18.438921056298593,1739856,0.0,0.0,True
-2022-03-03 00:00:00+01:00,19.001977920532227,19.077571868896484,18.297758102416992,18.361417770385742,17.85097943405268,834767,0.0,0.0,True
-2022-03-04 00:00:00+01:00,18.13463592529297,18.14259147644043,16.893299102783203,17.05642318725586,16.58226330183782,2249030,0.0,0.0,True
-2022-03-07 00:00:00+01:00,16.384033203125,17.10814666748047,15.516690254211426,16.380054473876953,15.924698623469626,2250820,0.0,0.0,True
-2022-03-08 00:00:00+01:00,16.21295166015625,16.941043853759766,16.16520881652832,16.805768966674805,16.338578581234838,1388112,0.0,0.0,True
-2022-03-09 00:00:00+01:00,17.207611083984375,18.22614288330078,17.17976188659668,18.22614288330078,17.719466176445042,1580329,0.0,0.0,True
-2022-03-10 00:00:00+01:00,18.38926887512207,18.429054260253906,17.44632911682129,17.696983337402344,17.205017256979872,1037018,0.0,0.0,True
-2022-03-11 00:00:00+01:00,17.88397979736328,18.369373321533203,17.585582733154297,17.943660736083984,17.44483715993438,985960,0.0,0.0,True
-2022-03-14 00:00:00+01:00,18.285823822021484,18.747344970703125,18.250015258789062,18.52056312561035,18.005702523261068,963701,0.0,0.0,True
-2022-03-15 00:00:00+01:00,19.79372787475586,19.893192291259766,17.99538230895996,18.15452766418457,17.649843120322757,2685295,0.0,0.0,True
-2022-03-16 00:00:00+01:00,18.78713035583496,18.9741268157959,18.369373321533203,18.76723861694336,18.245520816545586,1321768,0.0,0.0,True
-2022-03-17 00:00:00+01:00,18.89853286743164,18.966169357299805,18.433032989501953,18.854768753051758,18.330616020621715,1124314,0.0,0.0,True
-2022-03-18 00:00:00+01:00,18.894554138183594,18.98606300354004,18.47281837463379,18.7990665435791,18.276461893113282,1809744,0.0,0.0,True
-2022-03-21 00:00:00+01:00,18.7990665435791,19.15714454650879,18.763259887695312,18.91046905517578,18.384768538460154,703039,0.0,0.0,True
-2022-03-22 00:00:00+01:00,18.966169357299805,19.184995651245117,18.85079002380371,19.05767822265625,18.527885907033173,715772,0.0,0.0,True
-2022-03-23 00:00:00+01:00,19.121337890625,19.15714454650879,18.671751022338867,18.671751022338867,18.152686319152558,1351532,0.0,0.0,True
-2022-03-24 00:00:00+01:00,18.659814834594727,18.731430053710938,18.234100341796875,18.30173683166504,17.792958879225786,1286093,0.0,0.0,True
-2022-03-25 00:00:00+01:00,18.405181884765625,18.47281837463379,18.170442581176758,18.285823822021484,17.777488340941936,726494,0.0,0.0,True
-2022-03-28 00:00:00+02:00,18.393245697021484,18.759281158447266,18.329587936401367,18.433032989501953,17.92060409984496,837768,0.0,0.0,True
-2022-03-29 00:00:00+02:00,18.72745132446289,19.256610870361328,18.687665939331055,19.16908073425293,18.636190942710048,917861,0.0,0.0,True
-2022-03-30 00:00:00+02:00,19.15714454650879,19.15714454650879,18.46088218688965,18.50862693786621,17.994096802625698,823527,0.0,0.0,True
-2022-03-31 00:00:00+02:00,18.50862693786621,18.822938919067383,17.768600463867188,17.796449661254883,17.30171818169137,1780930,0.0,0.0,True
-2022-04-01 00:00:00+02:00,17.895915985107422,18.102806091308594,17.880001068115234,17.880001068115234,17.382948568119016,751206,0.0,0.0,True
-2022-04-04 00:00:00+02:00,17.92376708984375,17.991403579711914,17.517946243286133,17.79247283935547,17.2978517543729,836607,0.0,0.0,True
-2022-04-05 00:00:00+02:00,17.77655792236328,17.975488662719727,17.382671356201172,17.617412567138672,17.127658126880668,842142,0.0,0.0,True
-2022-04-06 00:00:00+02:00,17.577625274658203,17.625368118286133,16.87340545654297,17.016637802124023,16.543584541623215,1380130,0.0,0.0,True
-2022-04-07 00:00:00+02:00,17.10814666748047,17.382671356201172,16.865449905395508,16.89727783203125,16.427541822299425,857449,0.0,0.0,True
-2022-04-08 00:00:00+02:00,17.191696166992188,17.382671356201172,16.99674415588379,17.191696166992188,16.71377816911545,913588,0.0,0.0,True
-2022-04-11 00:00:00+02:00,17.219547271728516,17.549774169921875,17.036529541015625,17.203632354736328,16.72538228008083,1067867,0.0,0.0,True
-2022-04-12 00:00:00+02:00,17.00868034362793,17.565689086914062,16.833620071411133,17.565689086914062,17.077372036360696,1285128,0.0,0.0,True
-2022-04-13 00:00:00+02:00,17.438373565673828,17.525903701782227,17.267290115356445,17.506010055541992,17.019351481533796,697328,0.0,0.0,True
-2022-04-14 00:00:00+02:00,17.58160400390625,17.657197952270508,17.406543731689453,17.513967514038086,17.02708916518071,587256,0.0,0.0,True
-2022-04-19 00:00:00+02:00,17.54181671142578,17.69300651550293,17.418479919433594,17.517946243286133,17.030957202169166,962344,0.0,0.0,True
-2022-04-20 00:00:00+02:00,17.633325576782227,17.967531204223633,17.609453201293945,17.768600463867188,17.274643532442145,675733,0.0,0.0,True
-2022-04-21 00:00:00+02:00,17.860109329223633,18.38926887512207,17.860109329223633,18.28980255126953,17.781356377930393,946132,0.0,0.0,True
-2022-04-22 00:00:00+02:00,18.063018798828125,18.25399398803711,17.87204360961914,18.031190872192383,17.5299339736805,876938,0.0,0.0,True
-2022-04-25 00:00:00+02:00,17.71687889099121,17.891937255859375,17.549774169921875,17.629348754882812,17.139262237846047,857539,0.0,0.0,True
-2022-04-26 00:00:00+02:00,17.868066787719727,17.868066787719727,17.342885971069336,17.342885971069336,16.860763574676927,920938,0.0,0.0,True
-2022-04-27 00:00:00+02:00,17.42245864868164,17.513967514038086,16.865449905395508,17.430416107177734,16.945860388423046,995898,0.0,0.0,True
-2022-04-28 00:00:00+02:00,17.633325576782227,17.99538230895996,17.601497650146484,17.736770629882812,17.24369923653446,1172803,0.0,0.0,True
-2022-04-29 00:00:00+02:00,17.848173141479492,18.10678482055664,17.804407119750977,18.015274047851562,17.514460216056666,988594,0.0,0.0,True
-2022-05-02 00:00:00+02:00,17.88397979736328,18.05506134033203,16.90921401977539,17.74074935913086,17.24756566385293,1031151,0.0,0.0,True
-2022-05-03 00:00:00+02:00,17.848173141479492,17.93570327758789,17.506010055541992,17.808385848999023,17.31332229265675,1121197,0.0,0.0,True
-2022-05-04 00:00:00+02:00,18.747344970703125,19.10542106628418,18.532499313354492,18.846811294555664,18.322881556314783,2131889,0.0,0.0,True
-2022-05-05 00:00:00+02:00,19.18101692199707,19.37994956970215,18.138612747192383,18.17840003967285,17.673048122913535,1420586,0.0,0.0,True
-2022-05-06 00:00:00+02:00,18.110763549804688,18.560348510742188,17.97150993347168,18.369373321533203,17.858713898359614,967240,0.0,0.0,True
-2022-05-09 00:00:00+02:00,18.190336227416992,18.305715560913086,17.844194412231445,17.951616287231445,17.452570014571318,1063615,0.0,0.0,True
-2022-05-10 00:00:00+02:00,18.063018798828125,18.85079002380371,18.04710578918457,18.341524124145508,17.83164085878037,1106715,0.0,0.0,True
-2022-05-11 00:00:00+02:00,18.46088218688965,18.659814834594727,18.27786636352539,18.47281837463379,17.95928446972956,916544,0.0,0.0,True
-2022-05-12 00:00:00+02:00,18.04312515258789,18.261951446533203,17.784513473510742,18.222164154052734,17.71559974912657,899448,0.0,0.0,True
-2022-05-13 00:00:00+02:00,18.405181884765625,18.55636978149414,18.194313049316406,18.38528823852539,17.87418765598344,614260,0.0,0.0,True
-2022-05-16 00:00:00+02:00,18.381309509277344,18.612070083618164,18.24205780029297,18.417118072509766,17.90513356156111,734648,0.0,0.0,True
-2022-05-17 00:00:00+02:00,18.21420669555664,18.747344970703125,18.21420669555664,18.512605667114258,18.020961169004284,625555,0.0235,0.0,True
-2022-05-18 00:00:00+02:00,18.54443359375,18.592178344726562,18.357437133789062,18.357437133789062,17.869913837170763,676447,0.0,0.0,True
-2022-05-19 00:00:00+02:00,17.677091598510742,17.903873443603516,17.474180221557617,17.513967514038086,17.048843460304507,1239650,0.0,0.0,True
-2022-05-20 00:00:00+02:00,17.856130599975586,18.063018798828125,17.60547637939453,17.60547637939453,17.13792236757609,792884,0.0,0.0,True
-2022-05-23 00:00:00+02:00,17.85215187072754,17.987424850463867,17.633325576782227,17.987424850463867,17.509727290657995,661658,0.0,0.0,True
-2022-05-24 00:00:00+02:00,17.79247283935547,17.83623695373535,17.414501190185547,17.418479919433594,16.95589082346159,729103,0.0,0.0,True
-2022-05-25 00:00:00+02:00,17.617412567138672,17.89989471435547,17.394607543945312,17.8402156829834,17.36642741796716,645185,0.0,0.0,True
-2022-05-26 00:00:00+02:00,17.79247283935547,18.05506134033203,17.720855712890625,18.03516960144043,17.556203609079454,523872,0.0,0.0,True
-2022-05-27 00:00:00+02:00,18.031190872192383,18.198293685913086,17.94763946533203,18.198293685913086,17.71499558791078,578243,0.0,0.0,True
-2022-05-30 00:00:00+02:00,18.27786636352539,18.433032989501953,18.10678482055664,18.218185424804688,17.734358611477727,568621,0.0,0.0,True
-2022-05-31 00:00:00+02:00,18.1823787689209,18.218185424804688,17.97150993347168,18.122699737548828,17.64141019285213,1795488,0.0,0.0,True
-2022-06-01 00:00:00+02:00,18.293779373168945,18.44496726989746,18.17840003967285,18.28980255126953,17.804074495182356,494450,0.0,0.0,True
-2022-06-02 00:00:00+02:00,18.3494815826416,18.532499313354492,18.3494815826416,18.4569034576416,17.966737391440144,412331,0.0,0.0,True
-2022-06-03 00:00:00+02:00,18.592178344726562,18.639921188354492,18.433032989501953,18.564327239990234,18.071308404852203,487960,0.0,0.0,True
-2022-06-06 00:00:00+02:00,18.72745132446289,18.830896377563477,18.56830596923828,18.592178344726562,18.098420293634273,605186,0.0,0.0,True
-2022-06-07 00:00:00+02:00,18.500669479370117,18.540456771850586,18.32560920715332,18.468839645385742,17.978355768009287,606368,0.0,0.0,True
-2022-06-08 00:00:00+02:00,18.512605667114258,18.616050720214844,18.44496726989746,18.564327239990234,18.071308404852203,631100,0.0,0.0,True
-2022-06-09 00:00:00+02:00,18.452926635742188,18.82691764831543,18.401203155517578,18.41313934326172,17.924136208662464,1105870,0.0,0.0,True
-2022-06-10 00:00:00+02:00,18.273887634277344,18.31367301940918,17.685047149658203,17.685047149658203,17.215380086133635,933108,0.0,0.0,True
-2022-06-13 00:00:00+02:00,17.506010055541992,17.768600463867188,17.223526000976562,17.521923065185547,17.056586701229875,1102884,0.0,0.0,True
-2022-06-14 00:00:00+02:00,17.71289825439453,17.756664276123047,17.255355834960938,17.255355834960938,16.79709884463027,815872,0.0,0.0,True
-2022-06-15 00:00:00+02:00,17.486116409301758,18.015274047851562,17.42245864868164,17.621389389038086,17.153413067644134,987976,0.0,0.0,True
-2022-06-16 00:00:00+02:00,17.533859252929688,17.577625274658203,16.328332901000977,16.328332901000977,15.894697019635123,1421657,0.0,0.0,True
-2022-06-17 00:00:00+02:00,16.391990661621094,16.694366455078125,16.06574249267578,16.248760223388672,15.81723648893269,3094063,0.0,0.0,True
-2022-06-20 00:00:00+02:00,16.40790557861328,16.427799224853516,16.12542152404785,16.356182098388672,15.921804690199872,496948,0.0,0.0,True
-2022-06-21 00:00:00+02:00,16.491456985473633,16.821683883666992,16.427799224853516,16.48349952697754,16.045742945396203,563534,0.0,0.0,True
-2022-06-22 00:00:00+02:00,16.208974838256836,16.208974838256836,15.759387016296387,15.819067001342773,15.398955247429319,1050007,0.0,0.0,True
-2022-06-23 00:00:00+02:00,15.735515594482422,15.799174308776855,15.285928726196289,15.30980110168457,14.90321206915108,1064414,0.0,0.0,True
-2022-06-24 00:00:00+02:00,15.413246154785156,15.898639678955078,15.234207153320312,15.86681079864502,15.44543156585078,1215616,0.0,0.0,True
-2022-06-27 00:00:00+02:00,16.01799964904785,16.328332901000977,15.958318710327148,16.117464065551758,15.689428722382338,1182615,0.0,0.0,True
-2022-06-28 00:00:00+02:00,16.248760223388672,16.519306182861328,16.045848846435547,16.181123733520508,15.751397146944283,1274280,0.0,0.0,True
-2022-06-29 00:00:00+02:00,16.014020919799805,16.06574249267578,15.468947410583496,15.528626441955566,15.116227825546547,1058236,0.0,0.0,True
-2022-06-30 00:00:00+02:00,15.234207153320312,15.381417274475098,14.800535202026367,15.381417274475098,14.972926546783269,1934410,0.0,0.0,True
-2022-07-01 00:00:00+02:00,15.277972221374512,15.679815292358398,15.230228424072266,15.377437591552734,14.969054223284367,909034,0.0,0.0,True
-2022-07-04 00:00:00+02:00,15.564434051513672,15.791215896606445,15.488840103149414,15.687771797180176,15.271146074806529,798569,0.0,0.0,True
-2022-07-05 00:00:00+02:00,15.763365745544434,15.91455364227295,14.884086608886719,14.884086608886719,14.488804557219051,1966763,0.0,0.0,True
-2022-07-06 00:00:00+02:00,15.079039573669434,15.202378273010254,14.907958984375,15.110869407653809,14.709566366684761,938909,0.0,0.0,True
-2022-07-07 00:00:00+02:00,15.301843643188477,15.898639678955078,15.23818588256836,15.807130813598633,15.387335464787737,1170179,0.0,0.0,True
-2022-07-08 00:00:00+02:00,15.69572925567627,16.39596939086914,15.532605171203613,16.049827575683594,15.623586568249053,1372047,0.0,0.0,True
-2022-07-11 00:00:00+02:00,15.608199119567871,15.69572925567627,15.285928726196289,15.488840103149414,15.077497560195331,877119,0.0,0.0,True
-2022-07-12 00:00:00+02:00,15.381417274475098,15.556476593017578,14.983552932739258,15.520668983459473,15.108481772476305,1161955,0.0,0.0,True
-2022-07-13 00:00:00+02:00,15.425182342529297,15.647985458374023,15.234207153320312,15.357544898986816,14.94968838757254,1081802,0.0,0.0,True
-2022-07-14 00:00:00+02:00,15.333672523498535,15.357544898986816,14.728919982910156,14.888065338134766,14.492678286790394,896311,0.0,0.0,True
-2022-07-15 00:00:00+02:00,14.959680557250977,15.548519134521484,14.923872947692871,15.433138847351074,15.023276594776068,1160019,0.0,0.0,True
-2022-07-18 00:00:00+02:00,15.970254898071289,16.316396713256836,15.894660949707031,16.133378982543945,15.704919422450384,1770123,0.0,0.0,True
-2022-07-19 00:00:00+02:00,16.010042190551758,16.698345184326172,15.755409240722656,16.48349952697754,16.045742945396203,1574206,0.0,0.0,True
-2022-07-20 00:00:00+02:00,16.551136016845703,16.67845344543457,16.145315170288086,16.439735412597656,16.003140356546087,876721,0.0,0.0,True
-2022-07-21 00:00:00+02:00,16.30048179626465,16.646623611450195,16.16520881652832,16.364139556884766,15.929552149342557,1014598,0.0,0.0,True
-2022-07-22 00:00:00+02:00,16.244781494140625,16.463605880737305,15.98219108581543,16.037891387939453,15.611968191679907,1100753,0.0,0.0,True
-2022-07-25 00:00:00+02:00,16.014020919799805,16.39596939086914,15.874768257141113,16.11348533630371,15.685553586738559,826151,0.0,0.0,True
-2022-07-26 00:00:00+02:00,16.11348533630371,16.133378982543945,15.600241661071777,15.715621948242188,15.298257963588599,1071673,0.0,0.0,True
-2022-07-27 00:00:00+02:00,15.894660949707031,15.970254898071289,15.703685760498047,15.950362205505371,15.526763013979673,1076946,0.0,0.0,True
-2022-07-28 00:00:00+02:00,16.368118286132812,16.686410903930664,16.232845306396484,16.551136016845703,16.11158369345705,1713701,0.0,0.0,True
-2022-07-29 00:00:00+02:00,16.634687423706055,17.084274291992188,16.551136016845703,17.00868034362793,16.55697541767005,1096515,0.0,0.0,True
-2022-08-01 00:00:00+02:00,17.088253021240234,17.303098678588867,16.83759880065918,16.861469268798828,16.413675544979213,698449,0.0,0.0,True
-2022-08-02 00:00:00+02:00,16.833620071411133,16.992765426635742,16.674474716186523,16.937063217163086,16.48725953396542,683927,0.0,0.0,True
-2022-08-03 00:00:00+02:00,16.92115020751953,17.175783157348633,16.83759880065918,17.12008285522461,16.66542016065345,520776,0.0,0.0,True
-2022-08-04 00:00:00+02:00,17.132017135620117,17.334928512573242,17.004701614379883,17.064380645751953,16.61119638308931,770841,0.0,0.0,True
-2022-08-05 00:00:00+02:00,17.100189208984375,17.283206939697266,16.821683883666992,17.104167938232422,16.649926648440527,676884,0.0,0.0,True
-2022-08-08 00:00:00+02:00,17.283206939697266,17.47020149230957,17.076316833496094,17.319013595581055,16.859067269192213,640299,0.0,0.0,True
-2022-08-09 00:00:00+02:00,17.247398376464844,17.342885971069336,16.9808292388916,17.112125396728516,16.657674107583208,513653,0.0,0.0,True
-2022-08-10 00:00:00+02:00,17.084274291992188,17.43439483642578,16.90921401977539,17.394607543945312,16.932651258178424,565334,0.0,0.0,True
-2022-08-11 00:00:00+02:00,17.45826530456543,17.474180221557617,17.15191078186035,17.267290115356445,16.808717221199412,740132,0.0,0.0,True
-2022-08-12 00:00:00+02:00,17.23944091796875,17.486116409301758,17.231483459472656,17.342885971069336,16.88230542840294,966868,0.0,0.0,True
-2022-08-15 00:00:00+02:00,17.346864700317383,17.474180221557617,17.064380645751953,17.243419647216797,16.785480468061124,404314,0.0,0.0,True
-2022-08-16 00:00:00+02:00,17.342885971069336,17.426437377929688,17.175783157348633,17.36277961730957,16.90166985804233,615567,0.0,0.0,True
-2022-08-17 00:00:00+02:00,17.44632911682129,17.525903701782227,16.742111206054688,16.76598358154297,16.320724314208736,1020374,0.0,0.0,True
-2022-08-18 00:00:00+02:00,16.821683883666992,17.25137710571289,16.769962310791016,16.853513717651367,16.40592949190897,738694,0.0,0.0,True
-2022-08-19 00:00:00+02:00,16.69038963317871,16.901256561279297,16.606836318969727,16.606836318969727,16.165803252803872,628184,0.0,0.0,True
-2022-08-22 00:00:00+02:00,16.479520797729492,16.527265548706055,15.92251205444336,15.978212356567383,15.553874902761745,866276,0.0,0.0,True
-2022-08-23 00:00:00+02:00,15.942404747009277,16.292524337768555,15.918533325195312,16.292524337768555,15.859837671710368,860233,0.0,0.0,True
-2022-08-24 00:00:00+02:00,16.268653869628906,16.308439254760742,15.950362205505371,16.240802764892578,15.809489029790006,704240,0.0,0.0,True
-2022-08-25 00:00:00+02:00,16.388011932373047,16.523286819458008,16.216930389404297,16.292524337768555,15.859837671710368,479490,0.0,0.0,True
-2022-08-26 00:00:00+02:00,16.439735412597656,16.598880767822266,15.958318710327148,15.990147590637207,15.56549046718601,546820,0.0,0.0,True
-2022-08-29 00:00:00+02:00,15.91455364227295,16.44769287109375,15.743473052978516,16.43177604675293,15.995390085258524,771344,0.0,0.0,True
-2022-08-30 00:00:00+02:00,16.54317855834961,16.67845344543457,16.15327262878418,16.248760223388672,15.81723648893269,741509,0.0,0.0,True
-2022-08-31 00:00:00+02:00,16.356182098388672,16.44371223449707,16.0418701171875,16.0418701171875,15.615841921251251,956161,0.0,0.0,True
-2022-09-01 00:00:00+02:00,15.978212356567383,15.978212356567383,15.691749572753906,15.755409240722656,15.336988228939816,998562,0.0,0.0,True
-2022-09-02 00:00:00+02:00,16.161230087280273,16.519306182861328,15.962298393249512,16.391990661621094,15.956664038124627,997552,0.0,0.0,True
-2022-09-05 00:00:00+02:00,15.874768257141113,15.91455364227295,15.520668983459473,15.723580360412598,15.306005422731282,1129909,0.0,0.0,True
-2022-09-06 00:00:00+02:00,15.763365745544434,16.09359359741211,15.683793067932129,15.86681079864502,15.44543156585078,638791,0.0,0.0,True
-2022-09-07 00:00:00+02:00,15.616155624389648,16.264673233032227,15.58034896850586,16.21295166015625,15.782378547080377,819365,0.0,0.0,True
-2022-09-08 00:00:00+02:00,16.292524337768555,16.364139556884766,15.954340934753418,16.14133644104004,15.712665475520629,690130,0.0,0.0,True
-2022-09-09 00:00:00+02:00,16.19305992126465,16.575008392333984,16.19305992126465,16.427799224853516,15.991520573904502,623223,0.0,0.0,True
-2022-09-12 00:00:00+02:00,16.614795684814453,17.076316833496094,16.571029663085938,16.98480796813965,16.533737258459322,880959,0.0,0.0,True
-2022-09-13 00:00:00+02:00,17.02061653137207,17.549774169921875,16.698345184326172,16.722217559814453,16.278118913213735,1949078,0.0,0.0,True
-2022-09-14 00:00:00+02:00,16.55511474609375,16.65458106994629,16.06574249267578,16.316396713256836,15.883077236993536,1147799,0.0,0.0,True
-2022-09-15 00:00:00+02:00,16.316396713256836,16.50737190246582,16.01799964904785,16.12542152404785,15.697173369380144,704698,0.0,0.0,True
-2022-09-16 00:00:00+02:00,15.92648983001709,16.05380630493164,15.647985458374023,15.954340934753418,15.530635337478573,1934284,0.0,0.0,True
-2022-09-19 00:00:00+02:00,15.890682220458984,16.419841766357422,15.791215896606445,16.368118286132812,15.933425878913898,961766,0.0,0.0,True
-2022-09-20 00:00:00+02:00,16.44769287109375,16.55511474609375,15.930468559265137,15.99412727355957,15.569367008902228,712846,0.0,0.0,True
-2022-09-21 00:00:00+02:00,15.894660949707031,16.137357711791992,15.815088272094727,16.1294002532959,15.701045692879042,557165,0.0,0.0,True
-2022-09-22 00:00:00+02:00,15.727558135986328,16.197038650512695,15.667879104614258,16.069721221923828,15.64295240396088,892616,0.0,0.0,True
-2022-09-23 00:00:00+02:00,16.0418701171875,16.161230087280273,15.64002799987793,15.854874610900879,15.433811783209194,1425407,0.0,0.0,True
-2022-09-26 00:00:00+02:00,15.675835609436035,16.037891387939453,15.604220390319824,15.604220390319824,15.189814626677634,823367,0.0,0.0,True
-2022-09-27 00:00:00+02:00,15.6360502243042,15.886704444885254,15.492818832397461,15.687771797180176,15.271146074806529,1239006,0.0,0.0,True
-2022-09-28 00:00:00+02:00,15.433138847351074,16.109508514404297,15.170549392700195,15.990147590637207,15.56549046718601,1753368,0.0,0.0,True
-2022-09-29 00:00:00+02:00,15.986169815063477,15.986169815063477,15.40926742553711,15.516690254211426,15.104608042904962,1373640,0.0,0.0,True
-2022-09-30 00:00:00+02:00,15.6360502243042,15.894660949707031,15.528626441955566,15.842939376831055,15.42219340664005,1225082,0.0,0.0,True
-2022-10-03 00:00:00+02:00,15.671856880187988,16.419841766357422,15.628091812133789,16.34822654724121,15.91406144927451,968647,0.0,0.0,True
-2022-10-04 00:00:00+02:00,16.618772506713867,17.267290115356445,16.618772506713867,17.267290115356445,16.808717221199412,1425231,0.0,0.0,True
-2022-10-05 00:00:00+02:00,17.100189208984375,17.35084342956543,17.016637802124023,17.08029556274414,16.626688489229796,1216119,0.0,0.0,True
-2022-10-06 00:00:00+02:00,17.203632354736328,17.32697105407715,16.88534164428711,16.976850509643555,16.525989799316637,825166,0.0,0.0,True
-2022-10-07 00:00:00+02:00,16.976850509643555,17.12803840637207,16.65458106994629,16.730175018310547,16.28586637235642,839674,0.0,0.0,True
-2022-10-10 00:00:00+02:00,16.610815048217773,17.56966781616211,16.586944580078125,17.402565002441406,16.940398717321106,1029281,0.0,0.0,True
-2022-10-11 00:00:00+02:00,17.088253021240234,17.23944091796875,16.284568786621094,16.463605880737305,16.026375703611937,2020228,0.0,0.0,True
-2022-10-12 00:00:00+02:00,16.499414443969727,16.929107666015625,16.320375442504883,16.789854049682617,16.343959661274585,1510536,0.0,0.0,True
-2022-10-13 00:00:00+02:00,16.694366455078125,17.17976188659668,16.384033203125,17.17976188659668,16.72351485564406,1551570,0.0,0.0,True
-2022-10-14 00:00:00+02:00,17.525903701782227,17.69300651550293,16.841577529907227,17.012659072875977,16.560847741168953,1388605,0.0,0.0,True
-2022-10-17 00:00:00+02:00,17.012659072875977,17.49407386779785,16.913192749023438,17.287185668945312,16.82808305691124,857670,0.0,0.0,True
-2022-10-18 00:00:00+02:00,17.43439483642578,17.951616287231445,17.39858627319336,17.617412567138672,17.14954215021767,1118895,0.0,0.0,True
-2022-10-19 00:00:00+02:00,17.732791900634766,17.820322036743164,17.565689086914062,17.58160400390625,17.114684208365354,659672,0.0,0.0,True
-2022-10-20 00:00:00+02:00,17.4980525970459,17.796449661254883,17.414501190185547,17.677091598510742,17.20763543913583,869126,0.0,0.0,True
-2022-10-21 00:00:00+02:00,17.506010055541992,17.85215187072754,17.346864700317383,17.85215187072754,17.378044388463863,781749,0.0,0.0,True
-2022-10-24 00:00:00+02:00,18.699600219726562,18.834875106811523,17.708919525146484,18.345502853393555,17.858295460601617,1695268,0.0,0.0,True
-2022-10-25 00:00:00+02:00,18.440990447998047,18.627986907958984,17.931724548339844,18.202272415161133,17.71886931748212,1131150,0.0,0.0,True
-2022-10-26 00:00:00+02:00,18.22614288330078,18.43701171875,17.975488662719727,18.329587936401367,17.84280194838869,1222905,0.0,0.0,True
-2022-10-27 00:00:00+02:00,18.341524124145508,18.600135803222656,18.08291244506836,18.293779373168945,17.80794681868126,778065,0.0,0.0,True
-2022-10-28 00:00:00+02:00,18.078933715820312,18.32560920715332,17.975488662719727,18.269908905029297,17.784708659470528,1099727,0.0,0.0,True
-2022-10-31 00:00:00+01:00,18.369373321533203,18.532499313354492,18.14259147644043,18.150548934936523,17.66851786341688,1018936,0.0,0.0,True
-2022-11-01 00:00:00+01:00,18.293779373168945,18.492712020874023,18.063018798828125,18.15452766418457,17.672391592988223,1016061,0.0,0.0,True
-2022-11-02 00:00:00+01:00,18.186357498168945,18.194313049316406,17.88397979736328,18.063018798828125,17.583315497861527,1299861,0.0,0.0,True
-2022-11-03 00:00:00+01:00,17.69300651550293,18.015274047851562,17.406543731689453,17.98344612121582,17.505852155014214,1179101,0.0,0.0,True
-2022-11-04 00:00:00+01:00,18.202272415161133,18.894554138183594,18.15452766418457,18.791109085083008,18.292067402173036,1369272,0.0,0.0,True
-2022-11-07 00:00:00+01:00,18.759281158447266,19.391883850097656,18.659814834594727,19.336183547973633,18.82266711623115,1259541,0.0,0.0,True
-2022-11-08 00:00:00+01:00,19.332204818725586,19.566944122314453,19.188974380493164,19.41177749633789,18.896252511289795,886906,0.0,0.0,True
-2022-11-09 00:00:00+01:00,19.415756225585938,19.415756225585938,18.954233169555664,19.208866119384766,18.69873026710726,1198007,0.0,0.0,True
-2022-11-10 00:00:00+01:00,19.153165817260742,19.59479522705078,19.03778648376465,19.586837768554688,19.066662866690272,1410472,0.0,0.0,True
-2022-11-11 00:00:00+01:00,19.59479522705078,19.857385635375977,19.562965393066406,19.78974723815918,19.264183704800367,1274687,0.0,0.0,True
-2022-11-14 00:00:00+01:00,19.81361961364746,20.112018585205078,19.690282821655273,20.032445907592773,19.50044043255144,1295287,0.0,0.0,True
-2022-11-15 00:00:00+01:00,20.01255226135254,20.191591262817383,19.61071014404297,19.805662155151367,19.279678623085733,1056914,0.0,0.0,True
-2022-11-16 00:00:00+01:00,19.75394058227539,19.785770416259766,19.276504516601562,19.44758415222168,18.931107640997233,1015000,0.0,0.0,True
-2022-11-17 00:00:00+01:00,19.4833927154541,19.65447425842285,19.09746551513672,19.296396255493164,18.783935444807494,644501,0.0,0.0,True
-2022-11-18 00:00:00+01:00,19.42371368408203,19.666410446166992,19.332204818725586,19.666410446166992,19.1441233973927,829590,0.0,0.0,True
-2022-11-21 00:00:00+01:00,19.598773956298828,19.606731414794922,19.02187156677246,19.101444244384766,18.59416065976764,918183,0.0,0.0,True
-2022-11-22 00:00:00+01:00,19.137252807617188,19.49930763244629,19.073593139648438,19.395862579345703,18.880761811221753,915438,0.0,0.0,True
-2022-11-23 00:00:00+01:00,19.475435256958008,19.51124382019043,19.149187088012695,19.264568328857422,18.752952638598963,867427,0.0,0.0,True
-2022-11-24 00:00:00+01:00,19.31231117248535,19.551029205322266,19.31231117248535,19.539094924926758,19.02018795434125,658838,0.0,0.0,True
-2022-11-25 00:00:00+01:00,19.535114288330078,19.574901580810547,19.371990203857422,19.419734954833984,18.90399856436004,444192,0.0,0.0,True
-2022-11-28 00:00:00+01:00,19.296396255493164,19.356077194213867,19.085529327392578,19.16908073425293,18.660001407828485,743198,0.0,0.0,True
-2022-11-29 00:00:00+01:00,18.830896377563477,18.978105545043945,18.572284698486328,18.72745132446289,18.230101789755967,1801344,0.0,0.0,True
-2022-11-30 00:00:00+01:00,18.89853286743164,18.92638397216797,18.405181884765625,18.675729751586914,18.179751741763166,1555300,0.0,0.0,True
-2022-12-01 00:00:00+01:00,18.87466049194336,18.958213806152344,18.56830596923828,18.73938751220703,18.241720166325113,1102744,0.0,0.0,True
-2022-12-02 00:00:00+01:00,18.663793563842773,19.013914108276367,18.55636978149414,19.005956649780273,18.501209428997157,783142,0.0,0.0,True
-2022-12-05 00:00:00+01:00,18.966169357299805,19.061656951904297,18.73938751220703,18.86272621154785,18.36178328587766,726414,0.0,0.0,True
-2022-12-06 00:00:00+01:00,18.870683670043945,19.073593139648438,18.791109085083008,18.962190628051758,18.45860684014704,752418,0.0,0.0,True
-2022-12-07 00:00:00+01:00,18.922405242919922,18.958213806152344,18.572284698486328,18.62002944946289,18.125532182416347,1312303,0.0,0.0,True
-2022-12-08 00:00:00+01:00,18.48475456237793,18.759281158447266,18.421096801757812,18.516584396362305,18.024832086430745,1077991,0.0,0.0,True
-2022-12-09 00:00:00+01:00,18.56830596923828,18.890575408935547,18.52056312561035,18.83885383605957,18.338543720594494,876148,0.0,0.0,True
-2022-12-12 00:00:00+01:00,18.735408782958984,18.763259887695312,18.417118072509766,18.468839645385742,17.978355768009287,1151398,0.0,0.0,True
-2022-12-13 00:00:00+01:00,18.604114532470703,19.065635681152344,18.552391052246094,18.942298889160156,18.43924100443521,1226494,0.0,0.0,True
-2022-12-14 00:00:00+01:00,18.858747482299805,19.017892837524414,18.75530242919922,18.8865966796875,18.38502144508839,958418,0.0,0.0,True
-2022-12-15 00:00:00+01:00,18.73938751220703,18.751323699951172,18.369373321533203,18.47281837463379,17.982229497580626,1115743,0.0,0.0,True
-2022-12-16 00:00:00+01:00,18.4569034576416,18.627986907958984,18.329587936401367,18.564327239990234,18.071308404852203,1941860,0.0,0.0,True
-2022-12-19 00:00:00+01:00,18.58422088623047,18.75530242919922,18.548412322998047,18.627986907958984,18.133276829414147,778150,0.0,0.0,True
-2022-12-20 00:00:00+01:00,18.504648208618164,18.7990665435791,18.393245697021484,18.7990665435791,18.29981204917084,935164,0.0,0.0,True
-2022-12-21 00:00:00+01:00,18.89853286743164,19.244674682617188,18.8865966796875,19.208866119384766,18.69873026710726,1124419,0.0,0.0,True
-2022-12-22 00:00:00+01:00,19.272525787353516,19.38790512084961,18.783153533935547,18.82691764831543,18.32692253188047,1217165,0.0,0.0,True
-2022-12-23 00:00:00+01:00,18.89853286743164,19.14520835876465,18.81498146057129,19.0338077545166,18.52832131777923,552525,0.0,0.0,True
-2022-12-27 00:00:00+01:00,19.177038192749023,19.24069595336914,19.03778648376465,19.04972267150879,18.543813423919715,387951,0.0,0.0,True
-2022-12-28 00:00:00+01:00,19.09746551513672,19.177038192749023,18.934341430664062,19.005956649780273,18.501209428997157,517744,0.0,0.0,True
-2022-12-29 00:00:00+01:00,19.001977920532227,19.077571868896484,18.8865966796875,19.045743942260742,18.539939694348377,398794,0.0,0.0,True
-2022-12-30 00:00:00+01:00,18.946277618408203,19.017892837524414,18.75530242919922,18.791109085083008,18.292067402173036,449339,0.0,0.0,True
-2023-01-02 00:00:00+01:00,18.990041732788086,19.383926391601562,18.914447784423828,19.383926391601562,18.869143434652607,671340,0.0,0.0,True
-2023-01-03 00:00:00+01:00,19.356077194213867,19.78179168701172,19.344141006469727,19.435649871826172,18.919492076572965,983215,0.0,0.0,True
-2023-01-04 00:00:00+01:00,19.48737144470215,19.982711791992188,19.44758415222168,19.94292640686035,19.413296280956878,1333355,0.0,0.0,True
-2023-01-05 00:00:00+01:00,19.932979583740234,20.121965408325195,19.845449447631836,20.002605438232422,19.471390975947482,1261924,0.0,0.0,True
-2023-01-06 00:00:00+01:00,20.112018585205078,20.410415649414062,19.95287322998047,20.410415649414062,19.86837162606201,641716,0.0,0.0,True
-2023-01-09 00:00:00+01:00,20.410415649414062,20.569562911987305,20.32089614868164,20.440256118774414,19.897418270521097,839910,0.0,0.0,True
-2023-01-10 00:00:00+01:00,20.48004150390625,20.48004150390625,19.932979583740234,20.17169761657715,19.635990033954716,1099813,0.0,0.0,True
-2023-01-11 00:00:00+01:00,20.241323471069336,20.838119506835938,20.10207176208496,20.599401473999023,20.052337925853514,1479852,0.0,0.0,True
-2023-01-12 00:00:00+01:00,20.60934829711914,20.758546829223633,20.470096588134766,20.639188766479492,20.091066785132295,1067892,0.0,0.0,True
-2023-01-13 00:00:00+01:00,20.559614181518555,21.01715850830078,20.430309295654297,20.788387298583984,20.236304225645025,1563851,0.0,0.0,True
-2023-01-16 00:00:00+01:00,20.589454650878906,20.72870635986328,20.181644439697266,20.70881462097168,20.173789489152337,790612,0.0154,0.0,True
-2023-01-17 00:00:00+01:00,20.698867797851562,20.997264862060547,20.499935150146484,20.659080505371094,20.125339438911386,917298,0.0,0.0,True
-2023-01-18 00:00:00+01:00,20.649133682250977,20.80828094482422,20.39052391052246,20.688920974731445,20.154409208480754,976454,0.0,0.0,True
-2023-01-19 00:00:00+01:00,20.569562911987305,20.57950782775879,20.26121711730957,20.39052391052246,19.86372323867117,888012,0.0,0.0,True
-2023-01-20 00:00:00+01:00,20.529775619506836,20.649133682250977,20.340789794921875,20.619295120239258,20.08658148332024,757103,0.0,0.0,True
-2023-01-23 00:00:00+01:00,20.678974151611328,20.70881462097168,20.5098819732666,20.57950782775879,20.047822224853086,540245,0.0,0.0,True
-2023-01-24 00:00:00+01:00,20.688920974731445,20.72870635986328,20.599401473999023,20.72870635986328,20.19316455831987,497230,0.0,0.0,True
-2023-01-25 00:00:00+01:00,20.72870635986328,20.788387298583984,20.539722442626953,20.72870635986328,20.19316455831987,610198,0.0,0.0,True
-2023-01-26 00:00:00+01:00,20.82817268371582,21.01715850830078,20.549667358398438,21.01715850830078,20.47416625073572,1177819,0.0,0.0,True
-2023-01-27 00:00:00+01:00,21.0271053314209,21.315555572509766,20.937585830688477,21.196197509765625,20.648580959523894,1399061,0.0,0.0,True
-2023-01-30 00:00:00+01:00,21.106678009033203,21.196197509765625,20.967424392700195,21.096731185913086,20.551682161918006,1048142,0.0,0.0,True
-2023-01-31 00:00:00+01:00,21.156410217285156,21.255876541137695,21.007211685180664,21.216089248657227,20.667957331567443,1153987,0.0,0.0,True
-2023-02-01 00:00:00+01:00,21.36528968811035,21.633846282958984,21.295663833618164,21.604007720947266,21.045855215837157,1127903,0.0,0.0,True
-2023-02-02 00:00:00+01:00,21.604007720947266,21.922298431396484,21.514488220214844,21.792993545532227,21.2299568077711,1405008,0.0,0.0,True
-2023-02-03 00:00:00+01:00,21.733312606811523,21.981977462768555,21.6437931060791,21.981977462768555,21.414057096829026,1224408,0.0,0.0,True
-2023-02-06 00:00:00+01:00,21.713420867919922,21.862619400024414,21.514488220214844,21.6437931060791,21.08461056567628,1078283,0.0,0.0,True
-2023-02-07 00:00:00+01:00,21.812885284423828,21.912351608276367,21.6437931060791,21.65374183654785,21.0943039632021,983431,0.0,0.0,True
-2023-02-08 00:00:00+01:00,21.68358039855957,22.051603317260742,21.68358039855957,21.832778930664062,21.268716066238255,983919,0.0,0.0,True
-2023-02-09 00:00:00+01:00,21.862619400024414,22.03171157836914,21.74325942993164,21.892459869384766,21.326852999624965,921355,0.0,0.0,True
-2023-02-10 00:00:00+01:00,21.773099899291992,21.892459869384766,21.39512825012207,21.58411407470703,21.026474935165574,931770,0.0,0.0,True
-2023-02-13 00:00:00+01:00,21.613954544067383,21.68358039855957,21.484647750854492,21.534381866455078,20.978026187800634,653816,0.0,0.0,True
-2023-02-14 00:00:00+01:00,21.564220428466797,21.6437931060791,21.415021896362305,21.484647750854492,20.929576137559682,566610,0.0,0.0,True
-2023-02-15 00:00:00+01:00,21.385181427001953,21.72336769104004,21.345396041870117,21.703474044799805,21.142751407691026,971141,0.0,0.0,True
-2023-02-16 00:00:00+01:00,21.733312606811523,21.852672576904297,21.58411407470703,21.753206253051758,21.19119885217995,860626,0.0,0.0,True
-2023-02-17 00:00:00+01:00,21.604007720947266,21.822832107543945,21.484647750854492,21.763153076171875,21.200887038201728,558814,0.0,0.0,True
-2023-02-20 00:00:00+01:00,21.78304672241211,22.340055465698242,21.78304672241211,22.340055465698242,21.762886514405384,997833,0.0,0.0,True
-2023-02-21 00:00:00+01:00,22.300268173217773,22.4693603515625,22.111284255981445,22.19085693359375,21.61754157518657,907456,0.0,0.0,True
-2023-02-22 00:00:00+01:00,21.59406089782715,22.011817932128906,21.484647750854492,21.97203254699707,21.404370213683265,1114536,0.0,0.0,True
-2023-02-23 00:00:00+01:00,22.06155014038086,22.06155014038086,21.05694580078125,21.126571655273438,20.580754537239393,2085708,0.0,0.0,True
-2023-02-24 00:00:00+01:00,21.126571655273438,21.763153076171875,20.967424392700195,21.07683753967285,20.532304486998445,1493284,0.0,0.0,True
-2023-02-27 00:00:00+01:00,21.285715103149414,21.604007720947266,21.206144332885742,21.454809188842773,20.900508973742337,744495,0.0,0.0,True
-2023-02-28 00:00:00+01:00,21.325502395629883,21.72336769104004,21.265823364257812,21.534381866455078,20.978026187800634,1797489,0.0,0.0,True
-2023-03-01 00:00:00+01:00,21.613954544067383,21.663686752319336,21.30561065673828,21.37523651123047,20.82299175968404,1095414,0.0,0.0,True
-2023-03-02 00:00:00+01:00,21.295663833618164,21.43491554260254,21.096731185913086,21.355342864990234,20.803612781888468,729153,0.0,0.0,True
-2023-03-03 00:00:00+01:00,21.454809188842773,21.673633575439453,21.444862365722656,21.59406089782715,21.036164424063358,731340,0.0,0.0,True
-2023-03-06 00:00:00+01:00,21.59406089782715,21.633846282958984,21.136518478393555,21.136518478393555,20.59044272326117,1177638,0.0,0.0,True
-2023-03-07 00:00:00+01:00,21.14646339416504,21.255876541137695,21.0469970703125,21.126571655273438,20.580754537239393,894823,0.0,0.0,True
-2023-03-08 00:00:00+01:00,21.0271053314209,21.216089248657227,20.7386531829834,21.216089248657227,20.667957331567443,1145240,0.0,0.0,True
-2023-03-09 00:00:00+01:00,21.07683753967285,21.196197509765625,21.01715850830078,21.066890716552734,20.522613695224646,611676,0.0,0.0,True
-2023-03-10 00:00:00+01:00,20.76849365234375,21.007211685180664,20.589454650878906,20.897798538208008,20.357888475334253,1111284,0.0,0.0,True
-2023-03-13 00:00:00+01:00,20.688920974731445,20.778440475463867,20.07223129272461,20.221431732177734,19.698996715904766,1243550,0.0,0.0,True
-2023-03-14 00:00:00+01:00,20.181644439697266,20.470096588134766,19.903139114379883,20.400468826293945,19.873411424692947,1301756,0.0,0.0,True
-2023-03-15 00:00:00+01:00,20.430309295654297,20.440256118774414,19.093486785888672,19.121337890625,18.627325172748737,2538134,0.0,0.0,True
-2023-03-16 00:00:00+01:00,19.578880310058594,19.68232536315918,18.914447784423828,19.344141006469727,18.844372590386367,1772646,0.0,0.0,True
-2023-03-17 00:00:00+01:00,19.395862579345703,19.68232536315918,18.87466049194336,19.20488739013672,18.708717140065342,2459464,0.0,0.0,True
-2023-03-20 00:00:00+01:00,19.196931838989258,19.531137466430664,18.723472595214844,19.467479705810547,18.96452251329411,903163,0.0,0.0,True
-2023-03-21 00:00:00+01:00,19.73006820678711,20.17169761657715,19.646516799926758,19.972766876220703,19.456755584832088,1270092,0.0,0.0,True
-2023-03-22 00:00:00+01:00,19.932979583740234,20.340789794921875,19.869321823120117,20.032445907592773,19.514893821094812,1100120,0.0,0.0,True
-2023-03-23 00:00:00+01:00,19.962818145751953,19.962818145751953,19.6584529876709,19.845449447631836,19.332728302914013,1594495,0.0,0.0,True
-2023-03-24 00:00:00+01:00,19.74200439453125,19.761898040771484,19.165102005004883,19.726089477539062,19.216454436140587,2008460,0.0,0.0,True
-2023-03-27 00:00:00+02:00,20.07223129272461,20.301002502441406,19.833513259887695,20.221431732177734,19.698996715904766,1382281,0.0,0.0,True
-2023-03-28 00:00:00+02:00,20.42036247253418,20.559614181518555,20.13191032409668,20.470096588134766,19.941239149853455,1220512,0.0,0.0,True
-2023-03-29 00:00:00+02:00,20.559614181518555,20.639188766479492,20.370630264282227,20.539722442626953,20.009065572137956,791707,0.0,0.0,True
-2023-03-30 00:00:00+02:00,20.659080505371094,21.01715850830078,20.629241943359375,20.82817268371582,20.290060750173744,968974,0.0,0.0,True
-2023-03-31 00:00:00+02:00,20.82817268371582,21.01715850830078,20.748600006103516,20.95747947692871,20.416030620225015,1172265,0.0,0.0,True
-2023-04-03 00:00:00+02:00,20.967424392700195,21.066890716552734,20.688920974731445,20.937585830688477,20.39665033955343,1141103,0.0,0.0,True
-2023-04-04 00:00:00+02:00,21.08678436279297,21.186250686645508,20.858013153076172,20.858013153076172,20.31913182261912,728163,0.0,0.0,True
-2023-04-05 00:00:00+02:00,20.897798538208008,20.947532653808594,20.46014976501465,20.499935150146484,19.970305010794792,1310588,0.0,0.0,True
-2023-04-06 00:00:00+02:00,20.649133682250977,20.758546829223633,20.470096588134766,20.589454650878906,20.057513016626885,957116,0.0,0.0,True
-2023-04-11 00:00:00+02:00,20.887853622436523,21.216089248657227,20.867958068847656,21.196197509765625,20.648580959523894,1155390,0.0,0.0,True
-2023-04-12 00:00:00+02:00,21.156410217285156,21.285715103149414,20.907745361328125,21.226036071777344,20.67764812334124,907456,0.0,0.0,True
-2023-04-13 00:00:00+02:00,21.186250686645508,21.385181427001953,21.14646339416504,21.255876541137695,20.706715287158584,1096832,0.0,0.0,True
-2023-04-14 00:00:00+02:00,21.315555572509766,21.514488220214844,21.216089248657227,21.484647750854492,20.929576137559682,1071929,0.0,0.0,True
-2023-04-17 00:00:00+02:00,21.882511138916016,22.07149887084961,21.58411407470703,21.892459869384766,21.326852999624965,1508490,0.0,0.0,True
-2023-04-18 00:00:00+02:00,21.862619400024414,22.041658401489258,21.484647750854492,21.613954544067383,21.055546007610953,1127797,0.0,0.0,True
-2023-04-19 00:00:00+02:00,21.633846282958984,21.65374183654785,21.37523651123047,21.633846282958984,21.074922379654502,908843,0.0,0.0,True
-2023-04-20 00:00:00+02:00,21.68358039855957,21.68358039855957,21.484647750854492,21.6239013671875,21.065232890756718,810257,0.0,0.0,True
-2023-04-21 00:00:00+02:00,21.58411407470703,21.58411407470703,21.255876541137695,21.424968719482422,20.871437901296957,823291,0.0,0.0,True
-2023-04-24 00:00:00+02:00,21.385181427001953,21.703474044799805,21.295663833618164,21.633846282958984,21.074922379654502,882673,0.0,0.0,True
-2023-04-25 00:00:00+02:00,21.59406089782715,21.74325942993164,21.385181427001953,21.663686752319336,21.103993452099886,1318878,0.0,0.0,True
-2023-04-26 00:00:00+02:00,21.464754104614258,21.613954544067383,21.096731185913086,21.613954544067383,21.055546007610953,1135730,0.0,0.0,True
-2023-04-27 00:00:00+02:00,21.504541397094727,21.504541397094727,20.897798538208008,21.11662483215332,20.571062442589582,1167454,0.0,0.0,True
-2023-04-28 00:00:00+02:00,21.136518478393555,21.65374183654785,21.007211685180664,21.65374183654785,21.0943039632021,1480858,0.0,0.0,True
-2023-05-02 00:00:00+02:00,21.68358039855957,21.713420867919922,21.126571655273438,21.14646339416504,20.600129606406934,1146537,0.0,0.0,True
-2023-05-03 00:00:00+02:00,21.285715103149414,21.504541397094727,21.186250686645508,21.424968719482422,20.871437901296957,1054129,0.0,0.0,True
-2023-05-04 00:00:00+02:00,20.987319946289062,21.6437931060791,20.340789794921875,20.66902732849121,20.13502892780917,1741640,0.0,0.0,True
-2023-05-05 00:00:00+02:00,21.01715850830078,21.59406089782715,20.80828094482422,21.444862365722656,20.89082078772056,1420028,0.0,0.0,True
-2023-05-08 00:00:00+02:00,21.484647750854492,21.514488220214844,21.245929718017578,21.514488220214844,20.95864721000506,674713,0.0,0.0,True
-2023-05-09 00:00:00+02:00,21.663686752319336,21.663686752319336,21.17630386352539,21.444862365722656,20.89082078772056,853724,0.0,0.0,True
-2023-05-10 00:00:00+02:00,21.49459457397461,21.663686752319336,21.156410217285156,21.405075073242188,20.852060226377397,826931,0.0,0.0,True
-2023-05-11 00:00:00+02:00,21.464754104614258,21.633846282958984,21.106678009033203,21.37523651123047,20.82299175968404,1023400,0.0,0.0,True
-2023-05-12 00:00:00+02:00,21.37523651123047,21.43491554260254,21.206144332885742,21.37523651123047,20.822991759684037,847053,0.0,0.0,True
-2023-05-15 00:00:00+02:00,21.0469970703125,21.096731185913086,20.788387298583984,20.858013153076172,20.343019155002814,1023546,0.025099999999999997,0.0,True
-2023-05-16 00:00:00+02:00,20.7386531829834,20.76849365234375,20.281110763549805,20.310949325561523,19.80946174919578,1280267,0.0,0.0,True
-2023-05-17 00:00:00+02:00,20.201536178588867,20.57950782775879,20.092124938964844,20.549667358398438,20.042288055212353,1106539,0.0,0.0,True
-2023-05-18 00:00:00+02:00,20.72870635986328,20.818225860595703,20.539722442626953,20.678974151611328,20.168400441542484,704356,0.0,0.0,True
-2023-05-19 00:00:00+02:00,20.818225860595703,20.897798538208008,20.66902732849121,20.72870635986328,20.216904736568488,1030030,0.0,0.0,True
-2023-05-22 00:00:00+02:00,20.66902732849121,20.788387298583984,20.57950782775879,20.76849365234375,20.255711830376843,853879,0.0,0.0,True
-2023-05-23 00:00:00+02:00,20.748600006103516,20.80828094482422,20.66902732849121,20.79833221435547,20.284811562446574,779729,0.0,0.0,True
-2023-05-24 00:00:00+02:00,20.60934829711914,20.60934829711914,20.291057586669922,20.489988327026367,19.984082494760305,846847,0.0,0.0,True
-2023-05-25 00:00:00+02:00,20.51982879638672,20.51982879638672,19.962818145751953,20.01255226135254,19.518433946935552,1017197,0.0,0.0,True
-2023-05-26 00:00:00+02:00,20.141857147216797,20.26121711730957,19.885236740112305,20.191591262817383,19.693050628291687,1058894,0.0,0.0,True
-2023-05-29 00:00:00+02:00,20.301002502441406,20.340789794921875,20.181644439697266,20.26121711730957,19.760957454169773,295090,0.0,0.0,True
-2023-05-30 00:00:00+02:00,20.301002502441406,20.340789794921875,20.052337646484375,20.092124938964844,19.596040006135482,641576,0.0,0.0,True
-2023-05-31 00:00:00+02:00,19.77781105041504,19.77781105041504,19.184995651245117,19.427692413330078,18.948014171034597,3164263,0.0,0.0,True
-2023-06-01 00:00:00+02:00,19.614688873291016,19.698240280151367,19.475435256958008,19.68232536315918,19.196361688891155,876148,0.0,0.0,True
-2023-06-02 00:00:00+02:00,19.857385635375977,20.499935150146484,19.8255558013916,20.440256118774414,19.9355781997343,1069712,0.0,0.0,True
-2023-06-05 00:00:00+02:00,20.529775619506836,20.589454650878906,20.39052391052246,20.499935150146484,19.993783760186346,850280,0.0,0.0,True
-2023-06-06 00:00:00+02:00,20.489988327026367,20.66902732849121,20.38057518005371,20.66902732849121,20.158699176116443,646291,0.0,0.0,True
-2023-06-07 00:00:00+02:00,20.678974151611328,20.92763900756836,20.569562911987305,20.92763900756836,20.410928012985096,885388,0.0,0.0,True
-2023-06-08 00:00:00+02:00,20.877906799316406,21.514488220214844,20.877906799316406,21.186250686645508,20.66315278564536,1247924,0.0,0.0,True
-2023-06-09 00:00:00+02:00,21.126571655273438,21.17630386352539,20.46014976501465,20.818225860595703,20.30421612540285,1294412,0.0,0.0,True
-2023-06-12 00:00:00+02:00,20.887853622436523,21.08678436279297,20.80828094482422,21.05694580078125,20.537040399315227,932962,0.0,0.0,True
-2023-06-13 00:00:00+02:00,21.166357040405273,21.454809188842773,20.907745361328125,21.424968719482422,20.895977059557737,905912,0.0,0.0,True
-2023-06-14 00:00:00+02:00,21.862619400024414,21.882511138916016,21.424968719482422,21.514488220214844,20.9832864162879,1696595,0.0,0.0,True
-2023-06-15 00:00:00+02:00,21.474702835083008,21.474702835083008,21.01715850830078,21.355342864990234,20.82807023367965,932700,0.0,0.0,True
-2023-06-16 00:00:00+02:00,21.444862365722656,21.52443504333496,20.04239273071289,20.569562911987305,20.061690586064433,3430067,0.0,0.0,True
-2023-06-19 00:00:00+02:00,20.291057586669922,20.291057586669922,19.932979583740234,19.982711791992188,19.489328118553235,1208865,0.0,0.0,True
-2023-06-20 00:00:00+02:00,19.495328903198242,20.121965408325195,19.208866119384766,19.821577072143555,19.332173308543133,2053697,0.0,0.0,True
-2023-06-21 00:00:00+02:00,19.845449447631836,19.923032760620117,19.662431716918945,19.923032760620117,19.43112255810119,644074,0.0,0.0,True
-2023-06-22 00:00:00+02:00,19.749961853027344,20.022499084472656,19.68232536315918,19.797706604003906,19.30889352288735,667821,0.0,0.0,True
-2023-06-23 00:00:00+02:00,19.65447425842285,19.805662155151367,19.539094924926758,19.686304092407227,19.20023894369486,893260,0.0,0.0,True
-2023-06-26 00:00:00+02:00,19.757919311523438,20.032445907592773,19.65447425842285,19.982711791992188,19.489328118553235,793819,0.0,0.0,True
-2023-06-27 00:00:00+02:00,20.092124938964844,20.211484909057617,19.74200439453125,19.95287322998047,19.460228386483504,871227,0.0,0.0,True
-2023-06-28 00:00:00+02:00,20.112018585205078,20.151803970336914,19.865341186523438,19.95287322998047,19.460228386483504,911547,0.0,0.0,True
-2023-06-29 00:00:00+02:00,20.01255226135254,20.181644439697266,19.903139114379883,20.092124938964844,19.596040006135482,1053234,0.0,0.0,True
-2023-06-30 00:00:00+02:00,20.092124938964844,20.46014976501465,20.092124938964844,20.350736618041992,19.84826681089994,934560,0.0,0.0,True
-2023-07-03 00:00:00+02:00,20.301002502441406,20.499935150146484,20.181644439697266,20.26121711730957,19.760957454169773,652308,0.0,0.0,True
-2023-07-04 00:00:00+02:00,20.241323471069336,20.241323471069336,20.032445907592773,20.181644439697266,19.683351394969844,483753,0.0,0.0,True
-2023-07-05 00:00:00+02:00,20.07223129272461,20.201536178588867,20.002605438232422,20.092124938964844,19.596040006135482,692829,0.0,0.0,True
-2023-07-06 00:00:00+02:00,19.903139114379883,20.002605438232422,19.634580612182617,19.74200439453125,19.254565217239005,1098682,0.0,0.0,True
-2023-07-07 00:00:00+02:00,19.7181339263916,20.350736618041992,19.7181339263916,20.350736618041992,19.84826681089994,909321,0.0,0.0,True
-2023-07-10 00:00:00+02:00,20.221431732177734,20.48004150390625,20.201536178588867,20.241323471069336,19.741554923317693,599989,0.0,0.0,True
-2023-07-11 00:00:00+02:00,20.291057586669922,20.60934829711914,20.211484909057617,20.51982879638672,20.01318425893423,514723,0.0,0.0,True
-2023-07-12 00:00:00+02:00,20.569562911987305,21.126571655273438,20.529775619506836,21.066890716552734,20.54673963263707,903369,0.0,0.0,True
-2023-07-13 00:00:00+02:00,20.967424392700195,21.226036071777344,20.92763900756836,20.967424392700195,20.449729010480866,830319,0.0,0.0,True
-2023-07-14 00:00:00+02:00,20.877906799316406,20.897798538208008,20.301002502441406,20.301002502441406,19.799760483769738,959780,0.0,0.0,True
-2023-07-17 00:00:00+02:00,20.191591262817383,20.330842971801758,20.151803970336914,20.201536178588867,19.702749861613533,678639,0.0,0.0,True
-2023-07-18 00:00:00+02:00,20.211484909057617,20.410415649414062,20.112018585205078,20.410415649414062,19.906472371351985,696082,0.0,0.0,True
-2023-07-19 00:00:00+02:00,20.340789794921875,20.430309295654297,20.04239273071289,20.310949325561523,19.80946174919578,1027451,0.0,0.0,True
-2023-07-20 00:00:00+02:00,20.330842971801758,20.589454650878906,20.330842971801758,20.589454650878906,20.081091084812318,771530,0.0,0.0,True
-2023-07-21 00:00:00+02:00,20.569562911987305,20.758546829223633,20.499935150146484,20.639188766479492,20.129597411942516,532559,0.0,0.0,True
-2023-07-24 00:00:00+02:00,20.529775619506836,20.788387298583984,20.48004150390625,20.778440475463867,20.26541106369869,576946,0.0,0.0,True
-2023-07-25 00:00:00+02:00,20.80828094482422,21.156410217285156,20.7386531829834,21.14646339416504,20.6243477239412,815268,0.0,0.0,True
-2023-07-26 00:00:00+02:00,21.066890716552734,21.206144332885742,20.867958068847656,20.967424392700195,20.449729010480866,501060,0.0,0.0,True
-2023-07-27 00:00:00+02:00,21.01715850830078,21.43491554260254,20.967424392700195,21.39512825012207,20.866873263279615,1024169,0.0,0.0,True
-2023-07-28 00:00:00+02:00,21.30561065673828,21.802940368652344,21.255876541137695,21.802940368652344,21.264614985226284,1075428,0.0,0.0,True
-2023-07-31 00:00:00+02:00,21.802940368652344,21.912351608276367,21.663686752319336,21.703474044799805,21.167606395174275,1096731,0.0,0.0,True
-2023-08-01 00:00:00+02:00,21.59406089782715,21.604007720947266,21.424968719482422,21.424968719482422,20.895977059557737,660286,0.0,0.0,True
-2023-08-02 00:00:00+02:00,21.186250686645508,21.58411407470703,21.08678436279297,21.454809188842773,20.925080855835855,858203,0.0,0.0,True
-2023-08-03 00:00:00+02:00,21.673633575439453,21.78304672241211,20.01255226135254,20.499935150146484,19.993783760186346,1721865,0.0,0.0,True
-2023-08-04 00:00:00+02:00,20.66902732849121,20.718759536743164,20.39052391052246,20.659080505371094,20.148999942794596,610022,0.0,0.0,True
-2023-08-07 00:00:00+02:00,20.589454650878906,20.80828094482422,20.45020294189453,20.80828094482422,20.294514859976807,484065,0.0,0.0,True
-2023-08-08 00:00:00+02:00,20.688920974731445,20.818225860595703,20.589454650878906,20.678974151611328,20.168400441542484,420797,0.0,0.0,True
-2023-08-09 00:00:00+02:00,20.858013153076172,21.037052154541016,20.76849365234375,20.858013153076172,20.343019155002814,550545,0.0,0.0,True
-2023-08-10 00:00:00+02:00,20.977371215820312,21.126571655273438,20.858013153076172,20.997264862060547,20.478832806758987,468059,0.0,0.0,True
-2023-08-11 00:00:00+02:00,20.877906799316406,21.0271053314209,20.748600006103516,20.758546829223633,20.246010564950804,462374,0.0,0.0,True
-2023-08-14 00:00:00+02:00,20.7386531829834,20.848066329956055,20.66902732849121,20.7386531829834,20.22660600199453,668188,0.0,0.0,True
-2023-08-15 00:00:00+02:00,20.788387298583984,20.818225860595703,20.430309295654297,20.57950782775879,20.071389819386276,432414,0.0,0.0,True
-2023-08-16 00:00:00+02:00,20.539722442626953,20.76849365234375,20.539722442626953,20.70881462097168,20.197506269924798,544437,0.0,0.0,True
-2023-08-17 00:00:00+02:00,20.57950782775879,20.76849365234375,20.549667358398438,20.688920974731445,20.178101706968523,564871,0.0,0.0,True
-2023-08-18 00:00:00+02:00,20.688920974731445,20.70881462097168,20.291057586669922,20.38057518005371,19.877370607178058,693870,0.0,0.0,True
-2023-08-21 00:00:00+02:00,20.39052391052246,20.66902732849121,20.39052391052246,20.569562911987305,20.061690586064433,793311,0.0,0.0,True
-2023-08-22 00:00:00+02:00,20.599401473999023,20.907745361328125,20.5098819732666,20.76849365234375,20.255711830376843,650046,0.0,0.0,True
-2023-08-23 00:00:00+02:00,20.80828094482422,20.858013153076172,20.330842971801758,20.370630264282227,19.86766934175202,647211,0.0,0.0,True
-2023-08-24 00:00:00+02:00,20.45020294189453,20.599401473999023,20.291057586669922,20.330842971801758,19.828866312152055,475896,0.0,0.0,True
-2023-08-25 00:00:00+02:00,20.301002502441406,20.45020294189453,20.26121711730957,20.291057586669922,19.79006328255209,318928,0.0,0.0,True
-2023-08-28 00:00:00+02:00,20.42036247253418,20.549667358398438,20.42036247253418,20.499935150146484,19.993783760186346,332741,0.0,0.0,True
-2023-08-29 00:00:00+02:00,20.66902732849121,20.897798538208008,20.66902732849121,20.838119506835938,20.323616624150734,523138,0.0,0.0,True
-2023-08-30 00:00:00+02:00,20.838119506835938,21.007211685180664,20.778440475463867,20.907745361328125,20.39152345002882,394929,0.0,0.0,True
-2023-08-31 00:00:00+02:00,20.947532653808594,21.36528968811035,20.92763900756836,21.265823364257812,20.740760876949484,2323236,0.0,0.0,True
-2023-09-01 00:00:00+02:00,21.255876541137695,21.9322452545166,21.255876541137695,21.87256622314453,21.332523843208566,966179,0.0,0.0,True
-2023-09-04 00:00:00+02:00,21.981977462768555,22.021764755249023,21.544328689575195,21.58411407470703,21.05119121006179,643546,0.0,0.0,True
-2023-09-05 00:00:00+02:00,21.504541397094727,21.78304672241211,21.424968719482422,21.6239013671875,21.08999627176595,541345,0.0,0.0,True
-2023-09-06 00:00:00+02:00,21.544328689575195,22.111284255981445,21.504541397094727,22.09139060974121,21.545945586268864,851678,0.0,0.0,True
-2023-09-07 00:00:00+02:00,21.882511138916016,21.90240478515625,21.424968719482422,21.464754104614258,20.9347800891577,700314,0.0,0.0,True
-2023-09-08 00:00:00+02:00,21.574167251586914,21.574167251586914,20.887853622436523,21.235984802246094,20.711659112775557,719356,0.0,0.0,True
-2023-09-11 00:00:00+02:00,21.345396041870117,21.564220428466797,21.315555572509766,21.52443504333496,20.992985649609746,524078,0.0,0.0,True
-2023-09-12 00:00:00+02:00,21.58411407470703,21.6239013671875,21.11662483215332,21.11662483215332,20.595245959767272,772781,0.0,0.0,True
-2023-09-13 00:00:00+02:00,21.0469970703125,21.36528968811035,20.76849365234375,20.818225860595703,20.30421612540285,691035,0.0,0.0,True
-2023-09-14 00:00:00+02:00,20.887853622436523,21.196197509765625,20.629241943359375,21.126571655273438,20.604947225193314,578423,0.0,0.0,True
-2023-09-15 00:00:00+02:00,21.295663833618164,21.952138900756836,21.295663833618164,21.84272575378418,21.30341801482625,2234985,0.0,0.0,True
-2023-09-18 00:00:00+02:00,21.802940368652344,21.84272575378418,21.673633575439453,21.713420867919922,21.177307660600313,856277,0.0,0.0,True
-2023-09-19 00:00:00+02:00,21.6437931060791,21.6437931060791,21.39512825012207,21.415021896362305,20.8862737620275,685505,0.0,0.0,True
-2023-09-20 00:00:00+02:00,21.52443504333496,21.792993545532227,21.504541397094727,21.74325942993164,21.206407392670044,752488,0.0,0.0,True
-2023-09-21 00:00:00+02:00,21.534381866455078,21.574167251586914,21.0271053314209,21.186250686645508,20.66315278564536,722196,0.0,0.0,True
-2023-09-22 00:00:00+02:00,21.08678436279297,21.295663833618164,20.95747947692871,21.096731185913086,20.575843428915192,535977,0.0,0.0,True
-2023-09-25 00:00:00+02:00,21.037052154541016,21.17630386352539,20.529775619506836,20.788387298583984,20.275112329124727,678523,0.0,0.0,True
-2023-09-26 00:00:00+02:00,20.72870635986328,20.72870635986328,20.410415649414062,20.489988327026367,19.984082494760305,999281,0.0,0.0,True
-2023-09-27 00:00:00+02:00,20.559614181518555,20.66902732849121,20.440256118774414,20.569562911987305,20.061690586064433,679654,0.0,0.0,True
-2023-09-28 00:00:00+02:00,20.57950782775879,20.858013153076172,20.42036247253418,20.80828094482422,20.294514859976807,791858,0.0,0.0,True
-2023-09-29 00:00:00+02:00,20.977371215820312,21.07683753967285,20.778440475463867,20.858013153076172,20.343019155002814,1368070,0.0,0.0,True
-2023-10-02 00:00:00+02:00,20.877906799316406,20.95747947692871,20.38057518005371,20.489988327026367,19.984082494760305,921943,0.0,0.0,True
-2023-10-03 00:00:00+02:00,20.45020294189453,20.559614181518555,20.241323471069336,20.430309295654297,19.92587693430826,870202,0.0,0.0,True
-2023-10-04 00:00:00+02:00,20.340789794921875,20.629241943359375,20.23137664794922,20.301002502441406,19.799760483769738,1412955,0.0,0.0,True
-2023-10-05 00:00:00+02:00,20.301002502441406,20.410415649414062,20.151803970336914,20.23137664794922,19.731855689995847,552761,0.0,0.0,True
-2023-10-06 00:00:00+02:00,20.271163940429688,20.489988327026367,20.17169761657715,20.370630264282227,19.86766934175202,824653,0.0,0.0,True
-2023-10-09 00:00:00+02:00,20.201536178588867,20.26121711730957,19.817598342895508,20.201536178588867,19.702749861613533,857112,0.0,0.0,True
-2023-10-10 00:00:00+02:00,20.310949325561523,20.619295120239258,20.281110763549805,20.470096588134766,19.964679963908225,881954,0.0,0.0,True
-2023-10-11 00:00:00+02:00,20.32089614868164,20.629241943359375,20.32089614868164,20.440256118774414,19.9355781997343,612797,0.0,0.0,True
-2023-10-12 00:00:00+02:00,20.569562911987305,20.688920974731445,20.271163940429688,20.32089614868164,19.819165046726013,484462,0.0,0.0,True
-2023-10-13 00:00:00+02:00,20.211484909057617,20.470096588134766,20.211484909057617,20.301002502441406,19.799760483769738,538324,0.0,0.0,True
-2023-10-16 00:00:00+02:00,20.340789794921875,20.489988327026367,20.26121711730957,20.310949325561523,19.80946174919578,495104,0.0,0.0,True
-2023-10-17 00:00:00+02:00,20.241323471069336,20.301002502441406,19.9130859375,20.221431732177734,19.722156456674004,618131,0.0,0.0,True
-2023-10-18 00:00:00+02:00,20.191591262817383,20.23137664794922,19.881256103515625,19.881256103515625,19.390378868995178,559829,0.0,0.0,True
-2023-10-19 00:00:00+02:00,19.714153289794922,19.84147071838379,19.551029205322266,19.630603790283203,19.145914702254906,708805,0.0,0.0,True
-2023-10-20 00:00:00+02:00,19.49930763244629,19.54705047607422,19.296396255493164,19.296396255493164,18.819959093094223,760144,0.0,0.0,True
-2023-10-23 00:00:00+02:00,19.3162899017334,19.344141006469727,19.005956649780273,19.16908073425293,18.69578736627014,652032,0.0,0.0,True
-2023-10-24 00:00:00+02:00,19.101444244384766,19.232738494873047,18.994020462036133,19.11735725402832,18.645342411738085,565349,0.0,0.0,True
-2023-10-25 00:00:00+02:00,19.133272171020508,19.184995651245117,18.882619857788086,19.093486785888672,18.622060593978105,597757,0.0,0.0,True
-2023-10-26 00:00:00+02:00,18.882619857788086,19.507265090942383,18.834875106811523,19.403820037841797,18.924732353274617,756208,0.0,0.0,True
-2023-10-27 00:00:00+02:00,19.519201278686523,19.75394058227539,19.20488739013672,19.20488739013672,18.730711108962204,767302,0.0,0.0,True
-2023-10-30 00:00:00+01:00,19.296396255493164,19.54705047607422,19.296396255493164,19.45156478881836,18.97129802089877,755454,0.0,0.0,True
-2023-10-31 00:00:00+01:00,19.455543518066406,19.972766876220703,19.443607330322266,19.84147071838379,19.351575839395213,1249155,0.0,0.0,True
-2023-11-01 00:00:00+01:00,19.903139114379883,20.04239273071289,19.551029205322266,19.618667602539062,19.134274809427016,645054,0.0,0.0,True
-2023-11-02 00:00:00+01:00,19.734046936035156,20.410415649414062,19.726089477539062,20.141857147216797,19.64454430116149,1414951,0.0,0.0,True
-2023-11-03 00:00:00+01:00,19.877277374267578,20.211484909057617,19.165102005004883,19.51124382019043,19.02950154924662,1786173,0.0,0.0,True
-2023-11-06 00:00:00+01:00,19.515222549438477,19.78179168701172,19.304353713989258,19.531137466430664,19.0489040800987,1141224,0.0,0.0,True
-2023-11-07 00:00:00+01:00,19.42371368408203,19.535114288330078,19.25263214111328,19.35209846496582,18.874285366638368,719557,0.0,0.0,True
-2023-11-08 00:00:00+01:00,19.228759765625,19.427692413330078,19.093486785888672,19.320268630981445,18.843242942958398,829203,0.0,0.0,True
-2023-11-09 00:00:00+01:00,19.308332443237305,19.903139114379883,19.308332443237305,19.574901580810547,19.09158842871076,1169455,0.0,0.0,True
-2023-11-10 00:00:00+01:00,19.479415893554688,19.761898040771484,19.244674682617188,19.761898040771484,19.273967748091085,991826,0.0,0.0,True
-2023-11-13 00:00:00+01:00,19.773834228515625,19.857385635375977,19.531137466430664,19.734046936035156,19.246804611319014,980360,0.0,0.0,True
-2023-11-14 00:00:00+01:00,19.79372787475586,20.410415649414062,19.78974723815918,20.340789794921875,19.838567577578093,892672,0.0,0.0,True
-2023-11-15 00:00:00+01:00,20.36068344116211,20.917692184448242,20.291057586669922,20.917692184448242,20.40122471545486,1168610,0.0,0.0,True
-2023-11-16 00:00:00+01:00,20.79833221435547,21.07683753967285,20.549667358398438,20.549667358398438,20.042288055212353,755625,0.0,0.0,True
-2023-11-17 00:00:00+01:00,20.549667358398438,20.848066329956055,20.549667358398438,20.559614181518555,20.05198932063839,784037,0.0,0.0,True
-2023-11-20 00:00:00+01:00,20.589454650878906,20.887853622436523,20.51982879638672,20.72870635986328,20.216904736568488,946072,0.0,0.0,True
-2023-11-21 00:00:00+01:00,20.688920974731445,20.82817268371582,20.470096588134766,20.629241943359375,20.119896146516478,1185330,0.0,0.0,True
-2023-11-22 00:00:00+01:00,20.629241943359375,20.838119506835938,20.559614181518555,20.599401473999023,20.09079438234255,1261386,0.0,0.0,True
-2023-11-23 00:00:00+01:00,20.599401473999023,20.76849365234375,20.599401473999023,20.7386531829834,20.22660600199453,633558,0.0,0.0,True
-2023-11-24 00:00:00+01:00,20.778440475463867,20.92763900756836,20.72870635986328,20.92763900756836,20.410928012985096,719180,0.0,0.0,True
-2023-11-27 00:00:00+01:00,20.887853622436523,20.907745361328125,20.51982879638672,20.57950782775879,20.071389819386276,1094505,0.0,0.0,True
-2023-11-28 00:00:00+01:00,20.529775619506836,20.66902732849121,20.330842971801758,20.60934829711914,20.100495647768593,1053370,0.0,0.0,True
-2023-11-29 00:00:00+01:00,20.60934829711914,21.037052154541016,20.569562911987305,20.977371215820312,20.459430275906907,957061,0.0,0.0,True
-2023-11-30 00:00:00+01:00,20.947532653808594,21.27577018737793,20.818225860595703,21.11662483215332,20.595245959767272,2370750,0.0,0.0,True
-2023-12-01 00:00:00+01:00,21.166357040405273,21.6437931060791,21.166357040405273,21.604007720947266,21.070595773018066,1195222,0.0,0.0,True
-2023-12-04 00:00:00+01:00,21.484647750854492,21.94219207763672,21.464754104614258,21.74325942993164,21.206407392670044,1089262,0.0,0.0,True
-2023-12-05 00:00:00+01:00,21.6239013671875,21.9322452545166,21.59406089782715,21.882511138916016,21.34222307653041,1150906,0.0,0.0,True
-2023-12-06 00:00:00+01:00,21.882511138916016,22.081443786621094,21.84272575378418,22.041658401489258,21.497441291242858,1090639,0.0,0.0,True
-2023-12-07 00:00:00+01:00,22.081443786621094,22.489255905151367,22.041658401489258,22.359949111938477,21.80787365645936,1596696,0.0,0.0,True
-2023-12-08 00:00:00+01:00,22.330108642578125,22.479307174682617,21.991924285888672,22.35000228881836,21.798170358929127,1410130,0.0,0.0,True
-2023-12-11 00:00:00+01:00,19.450000762939453,23.649999618530273,17.895000457763672,20.6200008392334,20.110883764412478,8998324,0.0,0.0,True
-2023-12-12 00:00:00+01:00,20.790000915527344,22.3700008392334,20.75,22.139999389648438,21.593352545029667,3236690,0.0,0.0,True
-2023-12-13 00:00:00+01:00,22.489999771118164,24.530000686645508,22.399999618530273,23.950000762939453,23.358663812210377,2215354,0.0,0.0,True
-2023-12-14 00:00:00+01:00,24.5,25.010000228881836,23.950000762939453,24.540000915527344,23.934096789159938,1535694,0.0,0.0,True
-2023-12-15 00:00:00+01:00,24.8799991607666,25.420000076293945,24.600000381469727,25.40999984741211,24.782616120433715,2385553,0.0,0.0,True
-2023-12-18 00:00:00+01:00,25.649999618530273,26.969999313354492,25.489999771118164,26.1299991607666,25.484838174410278,965441,0.0,0.0,True
-2023-12-19 00:00:00+01:00,26.290000915527344,27.399999618530273,26.200000762939453,27.209999084472656,26.53817328747932,908754,0.0,0.0,True
-2023-12-20 00:00:00+01:00,27.3700008392334,27.469999313354492,26.350000381469727,26.350000381469727,25.699408056340648,821654,0.0,0.0,True
-2023-12-21 00:00:00+01:00,26.239999771118164,26.3700008392334,25.760000228881836,26.049999237060547,25.406813501746218,744197,0.0,0.0,True
-2023-12-22 00:00:00+01:00,26.1200008392334,26.510000228881836,26.049999237060547,26.239999771118164,25.59212311537546,358134,0.0,0.0,True
-2023-12-27 00:00:00+01:00,26.639999389648438,26.729999542236328,26.299999237060547,26.729999542236328,26.070023219390748,398784,0.0,0.0,True
-2023-12-28 00:00:00+01:00,26.899999618530273,27.200000762939453,26.899999618530273,27.190000534057617,26.518669151417498,306879,0.0,0.0,True
-2023-12-29 00:00:00+01:00,27.219999313354492,27.959999084472656,27.219999313354492,27.729999542236328,27.045333659795727,508827,0.0,0.0,True
-2024-01-02 00:00:00+01:00,28.059999465942383,28.600000381469727,27.520000457763672,28.030000686645508,27.337928214390157,395002,0.0,0.0,True
-2024-01-03 00:00:00+01:00,28.110000610351562,28.15999984741211,27.170000076293945,27.43000030517578,26.75274113730549,517626,0.0,0.0,True
-2024-01-04 00:00:00+01:00,27.5,28.110000610351562,27.5,28.09000015258789,27.396446718888203,353356,0.0,0.0,True
-2024-01-05 00:00:00+01:00,28.079999923706055,28.469999313354492,28.0,28.329999923706055,27.630518704776197,426440,0.0,0.0,True
-2024-01-08 00:00:00+01:00,28.290000915527344,28.329999923706055,27.540000915527344,28.0,27.308667946089034,503233,0.0,0.0,True
-2024-01-09 00:00:00+01:00,27.190000534057617,27.549999237060547,27.079999923706055,27.299999237060547,26.62595002817429,592677,0.0,0.0,True
-2024-01-10 00:00:00+01:00,27.100000381469727,27.170000076293945,26.350000381469727,26.350000381469727,25.699408056340648,692877,0.0,0.0,True
-2024-01-11 00:00:00+01:00,26.389999389648438,26.559999465942383,25.889999389648438,26.0,25.35804706527908,631805,0.0,0.0,True
-2024-01-12 00:00:00+01:00,26.639999389648438,26.860000610351562,26.06999969482422,26.139999389648438,25.49459024244119,803481,0.0,0.0,True
-2024-01-15 00:00:00+01:00,25.059999465942383,25.329999923706055,25.0,25.299999237060547,24.690631866455078,726646,0.016200000000000003,0.0,False
-2024-01-16 00:00:00+01:00,25.149999618530273,25.200000762939453,24.579999923706055,24.989999771118164,24.388099670410156,493029,0.0,0.0,False
-2024-01-17 00:00:00+01:00,24.700000762939453,24.729999542236328,23.989999771118164,24.260000228881836,23.675682067871094,646371,0.0,0.0,False
-2024-01-18 00:00:00+01:00,24.200000762939453,24.239999771118164,23.530000686645508,23.530000686645508,22.963266372680664,686723,0.0,0.0,False
-2024-01-19 00:00:00+01:00,23.670000076293945,24.25,23.670000076293945,24.049999237060547,23.470739364624023,679303,0.0,0.0,False
-2024-01-22 00:00:00+01:00,24.299999237060547,24.770000457763672,24.079999923706055,24.760000228881836,24.163639068603516,282294,0.0,0.0,False
-2024-01-23 00:00:00+01:00,25.200000762939453,25.450000762939453,24.90999984741211,25.3799991607666,24.768705368041992,397643,0.0,0.0,False
-2024-01-24 00:00:00+01:00,25.600000381469727,25.6299991607666,24.75,24.75,24.153881072998047,564082,0.0,0.0,False
-2024-01-25 00:00:00+01:00,24.84000015258789,25.760000228881836,24.799999237060547,25.600000381469727,24.983407974243164,401178,0.0,0.0,False
-2024-01-26 00:00:00+01:00,25.690000534057617,26.959999084472656,25.6200008392334,26.40999984741211,25.773897171020508,712857,0.0,0.0,False
-2024-01-29 00:00:00+01:00,26.5,26.549999237060547,25.760000228881836,25.760000228881836,25.139554977416992,375526,0.0,0.0,False
-2024-01-30 00:00:00+01:00,25.8799991607666,26.049999237060547,25.610000610351562,25.690000534057617,25.071239471435547,339731,0.0,0.0,False
-2024-01-31 00:00:00+01:00,25.850000381469727,26.1299991607666,25.440000534057617,25.440000534057617,24.827260971069336,1756316,0.0,0.0,False
-2024-02-01 00:00:00+01:00,25.329999923706055,25.5,24.530000686645508,24.59000015258789,23.99773406982422,398800,0.0,0.0,False
-2024-02-02 00:00:00+01:00,24.899999618530273,24.979999542236328,24.40999984741211,24.40999984741211,23.82206916809082,418661,0.0,0.0,False
-2024-02-05 00:00:00+01:00,24.440000534057617,24.56999969482422,23.6299991607666,23.649999618530273,23.080373764038086,640546,0.0,0.0,False
-2024-02-06 00:00:00+01:00,23.739999771118164,23.81999969482422,22.8799991607666,23.469999313354492,22.904708862304688,800098,0.0,0.0,False
-2024-02-07 00:00:00+01:00,23.200000762939453,23.309999465942383,22.489999771118164,22.639999389648438,22.09469985961914,896379,0.0,0.0,False
-2024-02-08 00:00:00+01:00,22.799999237060547,23.1299991607666,22.690000534057617,23.0,22.446029663085938,622376,0.0,0.0,False
-2024-02-09 00:00:00+01:00,22.5,22.739999771118164,22.209999084472656,22.209999084472656,21.67505645751953,783024,0.0,0.0,False
-2024-02-12 00:00:00+01:00,22.450000762939453,22.899999618530273,22.290000915527344,22.84000015258789,22.289884567260742,443790,0.0,0.0,False
-2024-02-13 00:00:00+01:00,22.860000610351562,23.34000015258789,22.719999313354492,23.190000534057617,22.631454467773438,530025,0.0,0.0,False
-2024-02-14 00:00:00+01:00,23.06999969482422,23.5,22.90999984741211,23.489999771118164,22.92422866821289,452602,0.0,0.0,False
-2024-02-15 00:00:00+01:00,23.6200008392334,24.170000076293945,23.579999923706055,23.940000534057617,23.36338996887207,423885,0.0,0.0,False
-2024-02-16 00:00:00+01:00,24.280000686645508,24.420000076293945,23.770000457763672,24.020000457763672,23.441463470458984,445071,0.0,0.0,False
-2024-02-19 00:00:00+01:00,24.110000610351562,24.139999389648438,23.690000534057617,23.690000534057617,23.11941146850586,334433,0.0,0.0,False
-2024-02-20 00:00:00+01:00,23.770000457763672,24.09000015258789,23.489999771118164,24.09000015258789,23.509777069091797,306827,0.0,0.0,False
-2024-02-21 00:00:00+01:00,23.850000381469727,24.040000915527344,23.5,24.040000915527344,23.460981369018555,431924,0.0,0.0,False
-2024-02-22 00:00:00+01:00,24.229999542236328,24.399999618530273,24.010000228881836,24.219999313354492,23.63664436340332,366743,0.0,0.0,False
-2024-02-23 00:00:00+01:00,24.239999771118164,24.6200008392334,23.860000610351562,23.959999084472656,23.38290786743164,266603,0.0,0.0,False
-2024-02-26 00:00:00+01:00,23.959999084472656,23.959999084472656,23.270000457763672,23.479999542236328,22.91446876525879,316183,0.0,0.0,False
-2024-02-27 00:00:00+01:00,23.540000915527344,23.889999389648438,23.329999923706055,23.75,23.17796516418457,284263,0.0,0.0,False
-2024-02-28 00:00:00+01:00,23.829999923706055,24.059999465942383,23.559999465942383,23.6200008392334,23.051097869873047,344714,0.0,0.0,False
-2024-02-29 00:00:00+01:00,23.600000381469727,23.6299991607666,23.329999923706055,23.5,22.93398666381836,601749,0.0,0.0,False
-2024-03-01 00:00:00+01:00,23.6299991607666,24.530000686645508,23.59000015258789,24.200000762939453,23.617128372192383,445507,0.0,0.0,False
-2024-03-04 00:00:00+01:00,24.1200008392334,24.229999542236328,22.989999771118164,23.3799991607666,22.816877365112305,469234,0.0,0.0,False
-2024-03-05 00:00:00+01:00,23.329999923706055,23.579999923706055,23.079999923706055,23.579999923706055,23.012060165405273,321295,0.0,0.0,False
-2024-03-06 00:00:00+01:00,23.579999923706055,24.100000381469727,23.549999237060547,23.549999237060547,22.9827823638916,516710,0.0,0.0,False
-2024-03-07 00:00:00+01:00,23.389999389648438,23.670000076293945,23.100000381469727,23.5,22.93398666381836,371579,0.0,0.0,False
-2024-03-08 00:00:00+01:00,23.520000457763672,23.770000457763672,22.969999313354492,23.739999771118164,23.1682071685791,426367,0.0,0.0,False
-2024-03-11 00:00:00+01:00,23.68000030517578,24.100000381469727,23.450000762939453,24.100000381469727,23.5195369720459,437456,0.0,0.0,False
-2024-03-12 00:00:00+01:00,24.299999237060547,25.450000762939453,24.059999465942383,25.25,24.64183807373047,794906,0.0,0.0,False
-2024-03-13 00:00:00+01:00,24.100000381469727,26.010000228881836,23.950000762939453,24.549999237060547,23.958696365356445,844838,0.0,0.0,False
-2024-03-14 00:00:00+01:00,24.440000534057617,24.729999542236328,23.649999618530273,23.81999969482422,23.246280670166016,643203,0.0,0.0,False
-2024-03-15 00:00:00+01:00,23.850000381469727,24.579999923706055,23.229999542236328,23.229999542236328,22.670490264892578,1376963,0.0,0.0,False
-2024-03-18 00:00:00+01:00,23.229999542236328,23.6299991607666,23.030000686645508,23.440000534057617,22.87543296813965,406545,0.0,0.0,False
-2024-03-19 00:00:00+01:00,23.149999618530273,23.75,23.040000915527344,23.670000076293945,23.09989356994629,429140,0.0,0.0,False
-2024-03-20 00:00:00+01:00,23.639999389648438,24.110000610351562,23.5,24.030000686645508,23.451223373413086,308989,0.0,0.0,False
-2024-03-21 00:00:00+01:00,24.18000030517578,24.479999542236328,24.030000686645508,24.15999984741211,23.57809066772461,415990,0.0,0.0,False
-2024-03-22 00:00:00+01:00,24.139999389648438,24.719999313354492,23.84000015258789,24.540000915527344,23.948938369750977,295245,0.0,0.0,False
-2024-03-25 00:00:00+01:00,24.549999237060547,25.100000381469727,24.520000457763672,25.059999465942383,24.45641326904297,348983,0.0,0.0,False
-2024-03-26 00:00:00+01:00,25.030000686645508,25.09000015258789,24.299999237060547,24.549999237060547,23.958696365356445,323207,0.0,0.0,False
-2024-03-27 00:00:00+01:00,24.459999084472656,24.969999313354492,24.31999969482422,24.969999313354492,24.368581771850586,203281,0.0,0.0,False
-2024-03-28 00:00:00+01:00,25.020000457763672,25.360000610351562,24.700000762939453,25.299999237060547,24.690631866455078,292668,0.0,0.0,False
-2024-04-02 00:00:00+02:00,25.350000381469727,25.799999237060547,25.299999237060547,25.600000381469727,24.983407974243164,302238,0.0,0.0,False
-2024-04-03 00:00:00+02:00,25.68000030517578,26.8799991607666,25.6299991607666,26.690000534057617,26.047155380249023,448326,0.0,0.0,False
-2024-04-04 00:00:00+02:00,28.5,29.190000534057617,27.709999084472656,27.709999084472656,27.042585372924805,1493843,0.0,0.0,False
-2024-04-05 00:00:00+02:00,27.350000381469727,27.959999084472656,27.010000228881836,27.350000381469727,26.69125747680664,540908,0.0,0.0,False
-2024-04-08 00:00:00+02:00,27.399999618530273,28.309999465942383,27.34000015258789,28.270000457763672,27.589099884033203,487088,0.0,0.0,False
-2024-04-09 00:00:00+02:00,28.350000381469727,28.43000030517578,28.049999237060547,28.200000762939453,27.52078628540039,253999,0.0,0.0,False
-2024-04-10 00:00:00+02:00,28.34000015258789,29.40999984741211,28.1200008392334,28.639999389648438,27.950185775756836,735134,0.0,0.0,False
-2024-04-11 00:00:00+02:00,28.93000030517578,29.260000228881836,28.649999618530273,28.959999084472656,28.262479782104492,306645,0.0,0.0,False
-2024-04-12 00:00:00+02:00,29.399999618530273,29.799999237060547,29.170000076293945,29.5,28.789474487304688,437731,0.0,0.0,False
-2024-04-15 00:00:00+02:00,29.100000381469727,29.850000381469727,29.0,29.450000762939453,28.740678787231445,388339,0.0,0.0,False
-2024-04-16 00:00:00+02:00,29.200000762939453,29.350000381469727,28.780000686645508,28.780000686645508,28.086816787719727,434787,0.0,0.0,False
-2024-04-17 00:00:00+02:00,28.780000686645508,29.989999771118164,28.760000228881836,29.799999237060547,29.082246780395508,352161,0.0,0.0,False
-2024-04-18 00:00:00+02:00,29.899999618530273,30.700000762939453,29.780000686645508,30.649999618530273,29.911775588989258,347317,0.0,0.0,False
-2024-04-19 00:00:00+02:00,30.5,31.040000915527344,28.34000015258789,30.75,30.009366989135742,697878,0.0,0.0,False
-2024-04-22 00:00:00+02:00,30.81999969482422,31.600000381469727,30.770000457763672,31.56999969482422,30.809616088867188,401308,0.0,0.0,False
-2024-04-23 00:00:00+02:00,31.579999923706055,31.65999984741211,30.049999237060547,31.0,30.253345489501953,471634,0.0,0.0,False
-2024-04-24 00:00:00+02:00,30.950000762939453,31.75,30.90999984741211,31.200000762939453,30.448528289794922,307607,0.0,0.0,False
-2024-04-25 00:00:00+02:00,31.299999237060547,31.329999923706055,29.670000076293945,29.75,29.0334529876709,478021,0.0,0.0,False
-2024-04-26 00:00:00+02:00,30.25,30.719999313354492,29.959999084472656,30.18000030517578,29.453096389770508,331898,0.0,0.0,False
-2024-04-29 00:00:00+02:00,30.209999084472656,30.899999618530273,30.209999084472656,30.850000381469727,30.106958389282227,225725,0.0,0.0,False
-2024-04-30 00:00:00+02:00,30.899999618530273,31.18000030517578,30.290000915527344,30.40999984741211,29.677555084228516,232054,0.0,0.0,False
-2024-05-02 00:00:00+02:00,30.40999984741211,30.600000381469727,29.709999084472656,30.5,29.76538848876953,390674,0.0,0.0,False
-2024-05-03 00:00:00+02:00,29.56999969482422,30.299999237060547,29.5,30.139999389648438,29.414058685302734,364126,0.0,0.0,False
-2024-05-06 00:00:00+02:00,30.290000915527344,30.989999771118164,30.139999389648438,30.420000076293945,29.687314987182617,273816,0.0,0.0,False
-2024-05-07 00:00:00+02:00,31.600000381469727,35.25,31.360000610351562,34.7599983215332,33.92278289794922,1075584,0.0,0.0,False
-2024-05-08 00:00:00+02:00,34.34000015258789,36.619998931884766,33.43000030517578,34.68000030517578,33.84471130371094,1057246,0.0,0.0,False
-2024-05-09 00:00:00+02:00,34.650001525878906,35.33000183105469,34.209999084472656,34.38999938964844,33.56169509887695,262471,0.0,0.0,False
-2024-05-10 00:00:00+02:00,34.790000915527344,34.939998626708984,33.58000183105469,33.650001525878906,32.83951950073242,223080,0.0,0.0,False
-2024-05-13 00:00:00+02:00,33.5,34.459999084472656,33.33000183105469,34.310001373291016,33.48362350463867,273103,0.0,0.0,False
-2024-05-14 00:00:00+02:00,34.220001220703125,34.52000045776367,33.560001373291016,34.52000045776367,33.68856430053711,279550,0.0,0.0,False
-2024-05-15 00:00:00+02:00,34.630001068115234,34.900001525878906,33.75,34.099998474121094,33.27867889404297,242453,0.0,0.0,False
-2024-05-16 00:00:00+02:00,34.13999938964844,34.13999938964844,33.04999923706055,33.599998474121094,32.79072189331055,235321,0.0,0.0,False
-2024-05-17 00:00:00+02:00,32.84000015258789,34.06999969482422,32.59000015258789,34.06999969482422,33.2494010925293,339910,0.0,0.0,False
-2024-05-20 00:00:00+02:00,34.400001525878906,34.400001525878906,33.70000076293945,34.04999923706055,33.229881286621094,164887,0.0,0.0,False
-2024-05-21 00:00:00+02:00,33.97999954223633,34.130001068115234,33.31999969482422,33.31999969482422,32.5174674987793,171162,0.0,0.0,False
-2024-05-22 00:00:00+02:00,33.29999923706055,34.189998626708984,32.93000030517578,34.189998626708984,33.366512298583984,345186,0.0,0.0,False
-2024-05-23 00:00:00+02:00,34.189998626708984,34.75,34.150001525878906,34.470001220703125,33.6397705078125,301874,0.0,0.0,False
-2024-05-24 00:00:00+02:00,34.29999923706055,35.040000915527344,34.060001373291016,34.52000045776367,33.68856430053711,297474,0.0,0.0,False
-2024-05-27 00:00:00+02:00,34.52000045776367,34.900001525878906,34.25,34.5,33.669044494628906,145496,0.0,0.0,False
-2024-05-28 00:00:00+02:00,34.459999084472656,34.540000915527344,33.81999969482422,34.400001525878906,33.57145690917969,239174,0.0,0.0,False
-2024-05-29 00:00:00+02:00,34.400001525878906,34.439998626708984,33.900001525878906,34.220001220703125,33.395790100097656,245711,0.0,0.0,False
-2024-05-30 00:00:00+02:00,34.61000061035156,34.61000061035156,33.75,34.310001373291016,33.48362350463867,270049,0.0,0.0,False
-2024-05-31 00:00:00+02:00,34.25,34.650001525878906,33.45000076293945,33.630001068115234,32.81999969482422,348292,0.0,0.0,False
-2024-06-03 00:00:00+02:00,33.20000076293945,33.290000915527344,31.81999969482422,31.829999923706055,31.829999923706055,271111,0.81,0.0,False
-2024-06-04 00:00:00+02:00,31.780000686645508,31.860000610351562,31.260000228881836,31.649999618530273,31.649999618530273,345119,0.0,0.0,False
-2024-06-05 00:00:00+02:00,31.770000457763672,31.940000534057617,31.270000457763672,31.270000457763672,31.270000457763672,371491,0.0,0.0,False
-2024-06-06 00:00:00+02:00,31.489999771118164,31.510000228881836,30.600000381469727,30.920000076293945,30.920000076293945,325501,0.0,0.0,False
-2024-06-07 00:00:00+02:00,30.90999984741211,31.209999084472656,30.600000381469727,30.969999313354492,30.969999313354492,161556,0.0,0.0,False
-2024-06-10 00:00:00+02:00,30.850000381469727,31.739999771118164,30.729999542236328,31.739999771118164,31.739999771118164,265293,0.0,0.0,False
-2024-06-11 00:00:00+02:00,31.639999389648438,32.529998779296875,31.639999389648438,32.349998474121094,32.349998474121094,424271,0.0,0.0,False
-2024-06-12 00:00:00+02:00,32.40999984741211,33.04999923706055,32.40999984741211,32.81999969482422,32.81999969482422,244552,0.0,0.0,False
-2024-06-13 00:00:00+02:00,32.54999923706055,32.54999923706055,31.709999084472656,31.780000686645508,31.780000686645508,302052,0.0,0.0,False
-2024-06-14 00:00:00+02:00,31.600000381469727,31.6299991607666,30.34000015258789,30.790000915527344,30.790000915527344,342157,0.0,0.0,False
-2024-06-17 00:00:00+02:00,30.920000076293945,31.479999542236328,30.889999389648438,31.34000015258789,31.34000015258789,273690,0.0,0.0,False
-2024-06-18 00:00:00+02:00,31.579999923706055,31.690000534057617,31.06999969482422,31.229999542236328,31.229999542236328,218534,0.0,0.0,False
-2024-06-19 00:00:00+02:00,31.260000228881836,31.81999969482422,31.200000762939453,31.350000381469727,31.350000381469727,175454,0.0,0.0,False
-2024-06-20 00:00:00+02:00,31.31999969482422,32.11000061035156,31.31999969482422,31.709999084472656,31.709999084472656,296995,0.0,0.0,False
-2024-06-21 00:00:00+02:00,31.860000610351562,32.04999923706055,31.559999465942383,31.719999313354492,31.719999313354492,2005373,0.0,0.0,False
-2024-06-24 00:00:00+02:00,31.700000762939453,33.630001068115234,31.700000762939453,33.06999969482422,33.06999969482422,347579,0.0,0.0,False
-2024-06-25 00:00:00+02:00,33.0,33.34000015258789,31.90999984741211,31.90999984741211,31.90999984741211,241894,0.0,0.0,False
-2024-06-26 00:00:00+02:00,31.899999618530273,32.349998474121094,31.649999618530273,31.8700008392334,31.8700008392334,267568,0.0,0.0,False
-2024-06-27 00:00:00+02:00,32.29999923706055,33.0,32.20000076293945,32.900001525878906,32.900001525878906,182682,0.0,0.0,False
-2024-06-28 00:00:00+02:00,32.95000076293945,33.060001373291016,32.31999969482422,32.869998931884766,32.869998931884766,277611,0.0,0.0,False
-2024-07-01 00:00:00+02:00,33.29999923706055,33.4900016784668,32.72999954223633,33.4900016784668,33.4900016784668,206747,0.0,0.0,False
-2024-07-02 00:00:00+02:00,33.5,34.0,33.13999938964844,34.0,34.0,231379,0.0,0.0,False
-2024-07-03 00:00:00+02:00,33.95000076293945,34.13999938964844,33.47999954223633,34.13999938964844,34.13999938964844,262502,0.0,0.0,False
-2024-07-04 00:00:00+02:00,34.0,34.20000076293945,33.540000915527344,34.060001373291016,34.060001373291016,130465,0.0,0.0,False
-2024-07-05 00:00:00+02:00,34.060001373291016,34.279998779296875,33.5099983215332,33.5099983215332,33.5099983215332,212429,0.0,0.0,False
-2024-07-08 00:00:00+02:00,33.400001525878906,33.95000076293945,32.81999969482422,33.95000076293945,33.95000076293945,194477,0.0,0.0,False
-2024-07-09 00:00:00+02:00,33.790000915527344,34.060001373291016,32.290000915527344,32.5099983215332,32.5099983215332,364262,0.0,0.0,False
-2024-07-10 00:00:00+02:00,32.29999923706055,32.38999938964844,31.75,32.040000915527344,32.040000915527344,207620,0.0,0.0,False
-2024-07-11 00:00:00+02:00,32.11000061035156,32.599998474121094,32.06999969482422,32.349998474121094,32.349998474121094,159663,0.0,0.0,False
-2024-07-12 00:00:00+02:00,32.29999923706055,32.93000030517578,32.29999923706055,32.59000015258789,32.59000015258789,116583,0.0,0.0,False
-2024-07-15 00:00:00+02:00,32.459999084472656,32.689998626708984,31.899999618530273,32.279998779296875,32.279998779296875,123588,0.0,0.0,False
-2024-07-16 00:00:00+02:00,32.20000076293945,32.65999984741211,31.940000534057617,32.45000076293945,32.45000076293945,88377,0.0,0.0,False
-2024-07-17 00:00:00+02:00,32.72999954223633,33.939998626708984,32.040000915527344,33.939998626708984,33.939998626708984,222062,0.0,0.0,False
-2024-07-18 00:00:00+02:00,34.0,34.93000030517578,33.79999923706055,34.63999938964844,34.63999938964844,400707,0.0,0.0,False
-2024-07-19 00:00:00+02:00,34.290000915527344,34.36000061035156,33.529998779296875,34.0099983215332,34.0099983215332,188494,0.0,0.0,False
-2024-07-22 00:00:00+02:00,34.349998474121094,34.5,33.66999816894531,34.13999938964844,34.13999938964844,144759,0.0,0.0,False
-2024-07-23 00:00:00+02:00,33.95000076293945,34.02000045776367,33.5,33.83000183105469,33.83000183105469,99602,0.0,0.0,False
-2024-07-24 00:00:00+02:00,33.54999923706055,33.97999954223633,33.459999084472656,33.5099983215332,33.5099983215332,118200,0.0,0.0,False
-2024-07-25 00:00:00+02:00,33.400001525878906,33.75,32.43000030517578,33.41999816894531,33.41999816894531,143724,0.0,0.0,False
-2024-07-26 00:00:00+02:00,33.09000015258789,33.439998626708984,32.650001525878906,33.2599983215332,33.2599983215332,150065,0.0,0.0,False
-2024-07-29 00:00:00+02:00,33.25,33.560001373291016,33.06999969482422,33.18000030517578,33.18000030517578,101941,0.0,0.0,False
-2024-07-30 00:00:00+02:00,33.0,33.619998931884766,32.86000061035156,33.18000030517578,33.18000030517578,142743,0.0,0.0,False
-2024-07-31 00:00:00+02:00,33.849998474121094,34.0,32.20000076293945,32.52000045776367,32.52000045776367,561976,0.0,0.0,False
-2024-08-01 00:00:00+02:00,32.13999938964844,32.599998474121094,31.190000534057617,31.469999313354492,31.469999313354492,275048,0.0,0.0,False
-2024-08-02 00:00:00+02:00,31.229999542236328,31.760000228881836,30.860000610351562,30.860000610351562,30.860000610351562,265760,0.0,0.0,False
-2024-08-05 00:00:00+02:00,30.100000381469727,30.479999542236328,29.469999313354492,29.940000534057617,29.940000534057617,473460,0.0,0.0,False
-2024-08-06 00:00:00+02:00,30.5,31.010000228881836,30.040000915527344,30.190000534057617,30.190000534057617,264982,0.0,0.0,False
-2024-08-07 00:00:00+02:00,30.510000228881836,31.229999542236328,30.3799991607666,30.889999389648438,30.889999389648438,178311,0.0,0.0,False
-2024-08-08 00:00:00+02:00,30.799999237060547,30.959999084472656,30.40999984741211,30.799999237060547,30.799999237060547,172146,0.0,0.0,False
-2024-08-09 00:00:00+02:00,30.90999984741211,31.520000457763672,30.90999984741211,31.15999984741211,31.15999984741211,179785,0.0,0.0,False
-2024-08-12 00:00:00+02:00,31.299999237060547,31.690000534057617,30.59000015258789,30.59000015258789,30.59000015258789,132932,0.0,0.0,False
-2024-08-13 00:00:00+02:00,30.690000534057617,31.040000915527344,30.360000610351562,30.600000381469727,30.600000381469727,103593,0.0,0.0,False
-2024-08-14 00:00:00+02:00,30.649999618530273,30.68000030517578,30.059999465942383,30.479999542236328,30.479999542236328,209068,0.0,0.0,False
-2024-08-15 00:00:00+02:00,30.549999237060547,31.09000015258789,30.450000762939453,30.920000076293945,30.920000076293945,125365,0.0,0.0,False
-2024-08-16 00:00:00+02:00,30.940000534057617,31.1200008392334,30.729999542236328,30.8799991607666,30.8799991607666,141253,0.0,0.0,False
-2024-08-19 00:00:00+02:00,31.030000686645508,31.299999237060547,30.670000076293945,31.030000686645508,31.030000686645508,180272,0.0,0.0,False
-2024-08-20 00:00:00+02:00,31.170000076293945,31.170000076293945,30.469999313354492,30.530000686645508,30.530000686645508,152575,0.0,0.0,False
-2024-08-21 00:00:00+02:00,30.530000686645508,31.020000457763672,30.530000686645508,30.969999313354492,30.969999313354492,128994,0.0,0.0,False
-2024-08-22 00:00:00+02:00,30.979999542236328,31.3799991607666,30.780000686645508,31.229999542236328,31.229999542236328,87006,0.0,0.0,False
-2024-08-23 00:00:00+02:00,31.18000030517578,31.540000915527344,31.18000030517578,31.270000457763672,31.270000457763672,84423,0.0,0.0,False
-2024-08-26 00:00:00+02:00,31.149999618530273,31.459999084472656,30.829999923706055,31.030000686645508,31.030000686645508,72965,0.0,0.0,False
-2024-08-27 00:00:00+02:00,30.90999984741211,31.360000610351562,30.809999465942383,31.139999389648438,31.139999389648438,102326,0.0,0.0,False
-2024-08-28 00:00:00+02:00,31.139999389648438,31.190000534057617,30.540000915527344,30.93000030517578,30.93000030517578,133750,0.0,0.0,False
-2024-08-29 00:00:00+02:00,30.81999969482422,31.25,30.81999969482422,31.079999923706055,31.079999923706055,110738,0.0,0.0,False
-2024-08-30 00:00:00+02:00,31.190000534057617,31.829999923706055,31.079999923706055,31.700000762939453,31.700000762939453,222082,0.0,0.0,False
-2024-09-02 00:00:00+02:00,31.739999771118164,32.36000061035156,31.469999313354492,32.18000030517578,32.18000030517578,137822,0.0,0.0,False
-2024-09-03 00:00:00+02:00,32.04999923706055,32.2400016784668,31.469999313354492,31.520000457763672,31.520000457763672,115050,0.0,0.0,False
-2024-09-04 00:00:00+02:00,31.100000381469727,31.739999771118164,31.030000686645508,31.559999465942383,31.559999465942383,110471,0.0,0.0,False
-2024-09-05 00:00:00+02:00,31.34000015258789,32.310001373291016,31.34000015258789,31.670000076293945,31.670000076293945,230413,0.0,0.0,False
-2024-09-06 00:00:00+02:00,31.489999771118164,31.8700008392334,31.18000030517578,31.209999084472656,31.209999084472656,163894,0.0,0.0,False
-2024-09-09 00:00:00+02:00,31.5,31.729999542236328,31.280000686645508,31.649999618530273,31.649999618530273,150347,0.0,0.0,False
-2024-09-10 00:00:00+02:00,31.59000015258789,32.040000915527344,30.8700008392334,30.8700008392334,30.8700008392334,177060,0.0,0.0,False
-2024-09-11 00:00:00+02:00,30.93000030517578,32.06999969482422,30.93000030517578,31.049999237060547,31.049999237060547,253253,0.0,0.0,False
-2024-09-12 00:00:00+02:00,31.049999237060547,31.3799991607666,30.809999465942383,30.809999465942383,30.809999465942383,198487,0.0,0.0,False
-2024-09-13 00:00:00+02:00,30.809999465942383,31.6299991607666,30.809999465942383,31.3700008392334,31.3700008392334,160154,0.0,0.0,False
-2024-09-16 00:00:00+02:00,31.270000457763672,31.469999313354492,31.100000381469727,31.450000762939453,31.450000762939453,112962,0.0,0.0,False
-2024-09-17 00:00:00+02:00,31.719999313354492,32.75,31.719999313354492,32.75,32.75,181018,0.0,0.0,False
-2024-09-18 00:00:00+02:00,32.81999969482422,33.84000015258789,32.38999938964844,33.72999954223633,33.72999954223633,208825,0.0,0.0,False
-2024-09-19 00:00:00+02:00,34.119998931884766,34.689998626708984,33.84000015258789,34.58000183105469,34.58000183105469,292983,0.0,0.0,False
-2024-09-20 00:00:00+02:00,34.599998474121094,34.599998474121094,33.93000030517578,34.279998779296875,34.279998779296875,547234,0.0,0.0,False
-2024-09-23 00:00:00+02:00,34.22999954223633,34.68000030517578,34.11000061035156,34.369998931884766,34.369998931884766,148293,0.0,0.0,False
-2024-09-24 00:00:00+02:00,34.709999084472656,35.13999938964844,34.279998779296875,34.279998779296875,34.279998779296875,214647,0.0,0.0,False
-2024-09-25 00:00:00+02:00,34.279998779296875,34.83000183105469,33.58000183105469,33.58000183105469,33.58000183105469,194543,0.0,0.0,False
-2024-09-26 00:00:00+02:00,34.0,34.119998931884766,33.650001525878906,34.119998931884766,34.119998931884766,198143,0.0,0.0,False
-2024-09-27 00:00:00+02:00,34.2400016784668,35.02000045776367,34.130001068115234,34.63999938964844,34.63999938964844,196448,0.0,0.0,False
-2024-09-30 00:00:00+02:00,34.150001525878906,35.45000076293945,34.0,35.20000076293945,35.20000076293945,261067,0.0,0.0,False
-2024-10-01 00:00:00+02:00,35.20000076293945,35.88999938964844,35.18000030517578,35.61000061035156,35.61000061035156,218502,0.0,0.0,False
-2024-10-02 00:00:00+02:00,35.61000061035156,36.810001373291016,35.45000076293945,36.310001373291016,36.310001373291016,185328,0.0,0.0,False
-2024-10-03 00:00:00+02:00,36.22999954223633,36.619998931884766,36.209999084472656,36.310001373291016,36.310001373291016,246827,0.0,0.0,False
-2024-10-04 00:00:00+02:00,36.209999084472656,37.560001373291016,36.13999938964844,37.5099983215332,37.5099983215332,298766,0.0,0.0,False
-2024-10-07 00:00:00+02:00,37.5,37.5099983215332,36.47999954223633,36.91999816894531,36.91999816894531,161195,0.0,0.0,False
-2024-10-08 00:00:00+02:00,36.7599983215332,36.7599983215332,35.66999816894531,35.93000030517578,35.93000030517578,144993,0.0,0.0,False
-2024-10-09 00:00:00+02:00,35.86000061035156,36.52000045776367,35.400001525878906,36.369998931884766,36.369998931884766,123249,0.0,0.0,False
-2024-10-10 00:00:00+02:00,36.619998931884766,37.0,36.439998626708984,36.959999084472656,36.959999084472656,127939,0.0,0.0,False
-2024-10-11 00:00:00+02:00,36.650001525878906,37.349998474121094,36.560001373291016,37.150001525878906,37.150001525878906,110000,0.0,0.0,False
-2024-10-14 00:00:00+02:00,37.349998474121094,38.0,37.0,38.0,38.0,215775,0.0,0.0,False
-2024-10-15 00:00:00+02:00,38.0,38.72999954223633,37.7400016784668,38.43000030517578,38.43000030517578,289899,0.0,0.0,False
-2024-10-16 00:00:00+02:00,38.5,39.31999969482422,38.310001373291016,39.31999969482422,39.31999969482422,351315,0.0,0.0,False
-2024-10-17 00:00:00+02:00,39.27000045776367,39.310001373291016,37.95000076293945,38.439998626708984,38.439998626708984,336837,0.0,0.0,False
-2024-10-18 00:00:00+02:00,38.209999084472656,39.369998931884766,37.939998626708984,39.349998474121094,39.349998474121094,284589,0.0,0.0,False
-2024-10-21 00:00:00+02:00,39.11000061035156,39.13999938964844,38.43000030517578,39.099998474121094,39.099998474121094,176237,0.0,0.0,False
-2024-10-22 00:00:00+02:00,39.119998931884766,39.369998931884766,38.63999938964844,38.900001525878906,38.900001525878906,219984,0.0,0.0,False
-2024-10-23 00:00:00+02:00,38.70000076293945,38.86000061035156,37.790000915527344,38.79999923706055,38.79999923706055,212351,0.0,0.0,False
-2024-10-24 00:00:00+02:00,38.70000076293945,38.939998626708984,38.36000061035156,38.68000030517578,38.68000030517578,118090,0.0,0.0,False
-2024-10-25 00:00:00+02:00,38.630001068115234,38.849998474121094,38.04999923706055,38.560001373291016,38.560001373291016,164039,0.0,0.0,False
-2024-10-28 00:00:00+01:00,38.560001373291016,38.81999969482422,37.84000015258789,38.25,38.25,156263,0.0,0.0,False
-2024-10-29 00:00:00+01:00,38.25,38.88999938964844,38.029998779296875,38.31999969482422,38.31999969482422,213012,0.0,0.0,False
-2024-10-30 00:00:00+01:00,37.75,38.04999923706055,37.029998779296875,37.029998779296875,37.029998779296875,397551,0.0,0.0,False
-2024-10-31 00:00:00+01:00,37.0,37.310001373291016,36.34000015258789,37.060001373291016,37.060001373291016,281687,0.0,0.0,False
-2024-11-01 00:00:00+01:00,36.84000015258789,37.43000030517578,36.84000015258789,37.2400016784668,37.2400016784668,81048,0.0,0.0,False
-2024-11-04 00:00:00+01:00,37.060001373291016,37.79999923706055,37.040000915527344,37.560001373291016,37.560001373291016,82632,0.0,0.0,False
-2024-11-05 00:00:00+01:00,37.560001373291016,37.95000076293945,37.369998931884766,37.95000076293945,37.95000076293945,199518,0.0,0.0,False
-2024-11-06 00:00:00+01:00,38.20000076293945,38.900001525878906,34.91999816894531,34.91999816894531,34.91999816894531,469899,0.0,0.0,False
-2024-11-07 00:00:00+01:00,34.08000183105469,34.900001525878906,33.72999954223633,33.72999954223633,33.72999954223633,380050,0.0,0.0,False
-2024-11-08 00:00:00+01:00,33.61000061035156,33.91999816894531,33.29999923706055,33.54999923706055,33.54999923706055,389420,0.0,0.0,False
-2024-11-11 00:00:00+01:00,33.810001373291016,34.31999969482422,33.130001068115234,33.130001068115234,33.130001068115234,233145,0.0,0.0,False
-2024-11-12 00:00:00+01:00,32.79999923706055,33.029998779296875,31.670000076293945,31.709999084472656,31.709999084472656,284709,0.0,0.0,False
-2024-11-13 00:00:00+01:00,31.780000686645508,32.11000061035156,31.360000610351562,31.510000228881836,31.510000228881836,208626,0.0,0.0,False
-2024-11-14 00:00:00+01:00,31.600000381469727,31.8799991607666,31.34000015258789,31.40999984741211,31.40999984741211,193374,0.0,0.0,False
-2024-11-15 00:00:00+01:00,31.309999465942383,32.5,31.309999465942383,32.22999954223633,32.22999954223633,130866,0.0,0.0,False
-2024-11-18 00:00:00+01:00,32.20000076293945,32.72999954223633,32.08000183105469,32.130001068115234,32.130001068115234,94641,0.0,0.0,False
-2024-11-19 00:00:00+01:00,32.099998474121094,32.650001525878906,31.06999969482422,31.920000076293945,31.920000076293945,159142,0.0,0.0,False
--- a/tests/data/SOLB-BR-1d-bad-div.csv
+++ b/tests/data/SOLB-BR-1d-bad-div.csv
@@ -1,741 +0,0 @@
-Datetime,Open,High,Low,Close,Adj Close,Volume,Dividends,Stock Splits
-2022-01-03 00:00:00+01:00,20.400468826293945,20.80828094482422,20.400468826293945,20.629241943359375,11.042256355285645,559352,0.0,0.0
-2022-01-04 00:00:00+01:00,20.649133682250977,20.897798538208008,20.5098819732666,20.848066329956055,11.15938663482666,930594,0.0,0.0
-2022-01-05 00:00:00+01:00,20.897798538208008,21.126571655273438,20.838119506835938,21.126571655273438,11.308463096618652,572100,0.0,0.0
-2022-01-06 00:00:00+01:00,20.887853622436523,21.126571655273438,20.599401473999023,20.967424392700195,11.22327709197998,532086,0.0,0.0
-2022-01-07 00:00:00+01:00,21.007211685180664,21.186250686645508,20.867958068847656,21.126571655273438,11.308463096618652,698666,0.0,0.0
-2022-01-10 00:00:00+01:00,21.186250686645508,21.245929718017578,20.997264862060547,21.05694580078125,11.271194458007812,972438,0.0,0.0
-2022-01-11 00:00:00+01:00,21.226036071777344,21.514488220214844,21.226036071777344,21.37523651123047,11.441566467285156,894602,0.0,0.0
-2022-01-12 00:00:00+01:00,21.564220428466797,21.604007720947266,21.0469970703125,21.216089248657227,11.356379508972168,838352,0.0,0.0
-2022-01-13 00:00:00+01:00,20.897798538208008,21.14646339416504,20.897798538208008,21.14646339416504,12.180268287658691,514241,1.5,0.0
-2022-01-14 00:00:00+01:00,20.897798538208008,21.066890716552734,20.80828094482422,21.0271053314209,12.111517906188965,708327,0.0,0.0
-2022-01-17 00:00:00+01:00,21.106678009033203,21.633846282958984,21.0469970703125,21.554275512695312,12.415164947509766,947841,0.0,0.0
-2022-01-18 00:00:00+01:00,21.454809188842773,21.484647750854492,21.156410217285156,21.405075073242188,12.32922649383545,966355,0.0,0.0
-2022-01-19 00:00:00+01:00,21.37523651123047,21.822832107543945,21.295663833618164,21.78304672241211,12.5469388961792,1597827,0.0,0.0
-2022-01-20 00:00:00+01:00,21.802940368652344,22.111284255981445,21.544328689575195,21.981977462768555,12.661521911621094,1563328,0.0,0.0
-2022-01-21 00:00:00+01:00,21.74325942993164,21.94219207763672,21.415021896362305,21.65374183654785,12.472458839416504,1539782,0.0,0.0
-2022-01-24 00:00:00+01:00,21.484647750854492,21.58411407470703,20.887853622436523,20.997264862060547,12.094330787658691,1334240,0.0,0.0
-2022-01-25 00:00:00+01:00,21.156410217285156,21.186250686645508,20.877906799316406,20.917692184448242,12.048497200012207,1198631,0.0,0.0
-2022-01-26 00:00:00+01:00,20.997264862060547,21.72336769104004,20.997264862060547,21.415021896362305,12.334957122802734,913216,0.0,0.0
-2022-01-27 00:00:00+01:00,21.11662483215332,21.862619400024414,21.0469970703125,21.6437931060791,12.466727256774902,765306,0.0,0.0
-2022-01-28 00:00:00+01:00,21.554275512695312,21.65374183654785,21.126571655273438,21.484647750854492,12.375060081481934,1109097,0.0,0.0
-2022-01-31 00:00:00+01:00,21.6239013671875,21.65374183654785,21.066890716552734,21.186250686645508,12.20318603515625,999557,0.0,0.0
-2022-02-01 00:00:00+01:00,21.27577018737793,21.405075073242188,21.05694580078125,21.11662483215332,12.163081169128418,732572,0.0,0.0
-2022-02-02 00:00:00+01:00,21.52443504333496,22.021764755249023,21.454809188842773,21.753206253051758,12.52974796295166,1195479,0.0,0.0
-2022-02-03 00:00:00+01:00,21.773099899291992,21.892459869384766,21.6239013671875,21.773099899291992,12.541208267211914,906159,0.0,0.0
-2022-02-04 00:00:00+01:00,21.87256622314453,21.87256622314453,21.345396041870117,21.424968719482422,12.340685844421387,763864,0.0,0.0
-2022-02-07 00:00:00+01:00,21.574167251586914,21.574167251586914,21.265823364257812,21.415021896362305,12.334957122802734,382854,0.0,0.0
-2022-02-08 00:00:00+01:00,21.36528968811035,21.78304672241211,21.36528968811035,21.713420867919922,12.506832122802734,1006721,0.0,0.0
-2022-02-09 00:00:00+01:00,21.812885284423828,21.991924285888672,21.733312606811523,21.981977462768555,12.661521911621094,893571,0.0,0.0
-2022-02-10 00:00:00+01:00,22.021764755249023,22.210750579833984,21.962085723876953,22.041658401489258,12.69589614868164,851844,0.0,0.0
-2022-02-11 00:00:00+01:00,21.882511138916016,22.06155014038086,21.713420867919922,21.882511138916016,12.604228019714355,893486,0.0,0.0
-2022-02-14 00:00:00+01:00,21.514488220214844,21.514488220214844,20.818225860595703,21.14646339416504,12.180268287658691,1234728,0.0,0.0
-2022-02-15 00:00:00+01:00,21.007211685180664,21.713420867919922,20.967424392700195,21.673633575439453,12.483914375305176,687285,0.0,0.0
-2022-02-16 00:00:00+01:00,21.713420867919922,22.06155014038086,21.713420867919922,22.06155014038086,12.707353591918945,798177,0.0,0.0
-2022-02-17 00:00:00+01:00,22.021764755249023,22.081443786621094,21.763153076171875,21.832778930664062,12.575582504272461,684218,0.0,0.0
-2022-02-18 00:00:00+01:00,21.832778930664062,21.892459869384766,21.385181427001953,21.544328689575195,12.409436225891113,737030,0.0,0.0
-2022-02-21 00:00:00+01:00,21.673633575439453,21.68358039855957,20.92763900756836,21.126571655273438,12.168810844421387,677844,0.0,0.0
-2022-02-22 00:00:00+01:00,20.529775619506836,21.196197509765625,20.32089614868164,20.95747947692871,12.07141399383545,1273455,0.0,0.0
-2022-02-23 00:00:00+01:00,21.415021896362305,21.862619400024414,20.987319946289062,21.216089248657227,12.220373153686523,1732461,0.0,0.0
-2022-02-24 00:00:00+01:00,20.48004150390625,20.877906799316406,19.51124382019043,19.70221710205078,11.348389625549316,2560976,0.0,0.0
-2022-02-25 00:00:00+01:00,19.903139114379883,20.291057586669922,19.475435256958008,20.201536178588867,11.635994911193848,1423396,0.0,0.0
-2022-02-28 00:00:00+01:00,19.773834228515625,19.903139114379883,19.308332443237305,19.837491989135742,11.42630672454834,1569727,0.0,0.0
-2022-03-01 00:00:00+01:00,19.77781105041504,19.95287322998047,18.73938751220703,18.73938751220703,10.793803215026855,1308216,0.0,0.0
-2022-03-02 00:00:00+01:00,18.536476135253906,19.12929344177246,18.17840003967285,18.966169357299805,10.924428939819336,1739856,0.0,0.0
-2022-03-03 00:00:00+01:00,19.001977920532227,19.077571868896484,18.297758102416992,18.361417770385742,10.576093673706055,834767,0.0,0.0
-2022-03-04 00:00:00+01:00,18.13463592529297,18.14259147644043,16.893299102783203,17.05642318725586,9.824422836303711,2249030,0.0,0.0
-2022-03-07 00:00:00+01:00,16.384033203125,17.10814666748047,15.516690254211426,16.380054473876953,9.43483829498291,2250820,0.0,0.0
-2022-03-08 00:00:00+01:00,16.21295166015625,16.941043853759766,16.16520881652832,16.805768966674805,9.680047988891602,1388112,0.0,0.0
-2022-03-09 00:00:00+01:00,17.207611083984375,18.22614288330078,17.17976188659668,18.22614288330078,10.498176574707031,1580329,0.0,0.0
-2022-03-10 00:00:00+01:00,18.38926887512207,18.429054260253906,17.44632911682129,17.696983337402344,10.19338321685791,1037018,0.0,0.0
-2022-03-11 00:00:00+01:00,17.88397979736328,18.369373321533203,17.585582733154297,17.943660736083984,10.335468292236328,985960,0.0,0.0
-2022-03-14 00:00:00+01:00,18.285823822021484,18.747344970703125,18.250015258789062,18.52056312561035,10.66776180267334,963701,0.0,0.0
-2022-03-15 00:00:00+01:00,19.79372787475586,19.893192291259766,17.99538230895996,18.15452766418457,10.456927299499512,2685295,0.0,0.0
-2022-03-16 00:00:00+01:00,18.78713035583496,18.9741268157959,18.369373321533203,18.76723861694336,10.809845924377441,1321768,0.0,0.0
-2022-03-17 00:00:00+01:00,18.89853286743164,18.966169357299805,18.433032989501953,18.854768753051758,10.860261917114258,1124314,0.0,0.0
-2022-03-18 00:00:00+01:00,18.894554138183594,18.98606300354004,18.47281837463379,18.7990665435791,10.828177452087402,1809744,0.0,0.0
-2022-03-21 00:00:00+01:00,18.7990665435791,19.15714454650879,18.763259887695312,18.91046905517578,10.892345428466797,703039,0.0,0.0
-2022-03-22 00:00:00+01:00,18.966169357299805,19.184995651245117,18.85079002380371,19.05767822265625,10.977137565612793,715772,0.0,0.0
-2022-03-23 00:00:00+01:00,19.121337890625,19.15714454650879,18.671751022338867,18.671751022338867,10.754844665527344,1351532,0.0,0.0
-2022-03-24 00:00:00+01:00,18.659814834594727,18.731430053710938,18.234100341796875,18.30173683166504,10.541718482971191,1286093,0.0,0.0
-2022-03-25 00:00:00+01:00,18.405181884765625,18.47281837463379,18.170442581176758,18.285823822021484,10.532552719116211,726494,0.0,0.0
-2022-03-28 00:00:00+02:00,18.393245697021484,18.759281158447266,18.329587936401367,18.433032989501953,10.61734390258789,837768,0.0,0.0
-2022-03-29 00:00:00+02:00,18.72745132446289,19.256610870361328,18.687665939331055,19.16908073425293,11.041304588317871,917861,0.0,0.0
-2022-03-30 00:00:00+02:00,19.15714454650879,19.15714454650879,18.46088218688965,18.50862693786621,10.66088581085205,823527,0.0,0.0
-2022-03-31 00:00:00+02:00,18.50862693786621,18.822938919067383,17.768600463867188,17.796449661254883,10.250675201416016,1780930,0.0,0.0
-2022-04-01 00:00:00+02:00,17.895915985107422,18.102806091308594,17.880001068115234,17.880001068115234,10.29880142211914,751206,0.0,0.0
-2022-04-04 00:00:00+02:00,17.92376708984375,17.991403579711914,17.517946243286133,17.79247283935547,10.248384475708008,836607,0.0,0.0
-2022-04-05 00:00:00+02:00,17.77655792236328,17.975488662719727,17.382671356201172,17.617412567138672,10.147550582885742,842142,0.0,0.0
-2022-04-06 00:00:00+02:00,17.577625274658203,17.625368118286133,16.87340545654297,17.016637802124023,9.801506996154785,1380130,0.0,0.0
-2022-04-07 00:00:00+02:00,17.10814666748047,17.382671356201172,16.865449905395508,16.89727783203125,9.732755661010742,857449,0.0,0.0
-2022-04-08 00:00:00+02:00,17.191696166992188,17.382671356201172,16.99674415588379,17.191696166992188,9.90234088897705,913588,0.0,0.0
-2022-04-11 00:00:00+02:00,17.219547271728516,17.549774169921875,17.036529541015625,17.203632354736328,9.909215927124023,1067867,0.0,0.0
-2022-04-12 00:00:00+02:00,17.00868034362793,17.565689086914062,16.833620071411133,17.565689086914062,10.117757797241211,1285128,0.0,0.0
-2022-04-13 00:00:00+02:00,17.438373565673828,17.525903701782227,17.267290115356445,17.506010055541992,10.083382606506348,697328,0.0,0.0
-2022-04-14 00:00:00+02:00,17.58160400390625,17.657197952270508,17.406543731689453,17.513967514038086,10.087966918945312,587256,0.0,0.0
-2022-04-19 00:00:00+02:00,17.54181671142578,17.69300651550293,17.418479919433594,17.517946243286133,10.090258598327637,962344,0.0,0.0
-2022-04-20 00:00:00+02:00,17.633325576782227,17.967531204223633,17.609453201293945,17.768600463867188,10.234634399414062,675733,0.0,0.0
-2022-04-21 00:00:00+02:00,17.860109329223633,18.38926887512207,17.860109329223633,18.28980255126953,10.534844398498535,946132,0.0,0.0
-2022-04-22 00:00:00+02:00,18.063018798828125,18.25399398803711,17.87204360961914,18.031190872192383,10.385885238647461,876938,0.0,0.0
-2022-04-25 00:00:00+02:00,17.71687889099121,17.891937255859375,17.549774169921875,17.629348754882812,10.154425621032715,857539,0.0,0.0
-2022-04-26 00:00:00+02:00,17.868066787719727,17.868066787719727,17.342885971069336,17.342885971069336,9.989424705505371,920938,0.0,0.0
-2022-04-27 00:00:00+02:00,17.42245864868164,17.513967514038086,16.865449905395508,17.430416107177734,10.039841651916504,995898,0.0,0.0
-2022-04-28 00:00:00+02:00,17.633325576782227,17.99538230895996,17.601497650146484,17.736770629882812,10.216300964355469,1172803,0.0,0.0
-2022-04-29 00:00:00+02:00,17.848173141479492,18.10678482055664,17.804407119750977,18.015274047851562,10.376717567443848,988594,0.0,0.0
-2022-05-02 00:00:00+02:00,17.88397979736328,18.05506134033203,16.90921401977539,17.74074935913086,10.218591690063477,1031151,0.0,0.0
-2022-05-03 00:00:00+02:00,17.848173141479492,17.93570327758789,17.506010055541992,17.808385848999023,10.257550239562988,1121197,0.0,0.0
-2022-05-04 00:00:00+02:00,18.747344970703125,19.10542106628418,18.532499313354492,18.846811294555664,10.855679512023926,2131889,0.0,0.0
-2022-05-05 00:00:00+02:00,19.18101692199707,19.37994956970215,18.138612747192383,18.17840003967285,10.470675468444824,1420586,0.0,0.0
-2022-05-06 00:00:00+02:00,18.110763549804688,18.560348510742188,17.97150993347168,18.369373321533203,10.580676078796387,967240,0.0,0.0
-2022-05-09 00:00:00+02:00,18.190336227416992,18.305715560913086,17.844194412231445,17.951616287231445,10.340049743652344,1063615,0.0,0.0
-2022-05-10 00:00:00+02:00,18.063018798828125,18.85079002380371,18.04710578918457,18.341524124145508,10.56463623046875,1106715,0.0,0.0
-2022-05-11 00:00:00+02:00,18.46088218688965,18.659814834594727,18.27786636352539,18.47281837463379,10.640260696411133,916544,0.0,0.0
-2022-05-12 00:00:00+02:00,18.04312515258789,18.261951446533203,17.784513473510742,18.222164154052734,10.495885848999023,899448,0.0,0.0
-2022-05-13 00:00:00+02:00,18.405181884765625,18.55636978149414,18.194313049316406,18.38528823852539,10.58984375,614260,0.0,0.0
-2022-05-16 00:00:00+02:00,18.381309509277344,18.612070083618164,18.24205780029297,18.417118072509766,10.60817813873291,734648,0.0,0.0
-2022-05-17 00:00:00+02:00,18.21420669555664,18.747344970703125,18.21420669555664,18.512605667114258,12.222789764404297,625555,2.35,0.0
-2022-05-18 00:00:00+02:00,18.54443359375,18.592178344726562,18.357437133789062,18.357437133789062,12.120341300964355,676447,0.0,0.0
-2022-05-19 00:00:00+02:00,17.677091598510742,17.903873443603516,17.474180221557617,17.513967514038086,11.563446998596191,1239650,0.0,0.0
-2022-05-20 00:00:00+02:00,17.856130599975586,18.063018798828125,17.60547637939453,17.60547637939453,11.623865127563477,792884,0.0,0.0
-2022-05-23 00:00:00+02:00,17.85215187072754,17.987424850463867,17.633325576782227,17.987424850463867,11.876043319702148,661658,0.0,0.0
-2022-05-24 00:00:00+02:00,17.79247283935547,17.83623695373535,17.414501190185547,17.418479919433594,11.500401496887207,729103,0.0,0.0
-2022-05-25 00:00:00+02:00,17.617412567138672,17.89989471435547,17.394607543945312,17.8402156829834,11.778849601745605,645185,0.0,0.0
-2022-05-26 00:00:00+02:00,17.79247283935547,18.05506134033203,17.720855712890625,18.03516960144043,11.90756607055664,523872,0.0,0.0
-2022-05-27 00:00:00+02:00,18.031190872192383,18.198293685913086,17.94763946533203,18.198293685913086,12.015267372131348,578243,0.0,0.0
-2022-05-30 00:00:00+02:00,18.27786636352539,18.433032989501953,18.10678482055664,18.218185424804688,12.028400421142578,568621,0.0,0.0
-2022-05-31 00:00:00+02:00,18.1823787689209,18.218185424804688,17.97150993347168,18.122699737548828,11.965357780456543,1795488,0.0,0.0
-2022-06-01 00:00:00+02:00,18.293779373168945,18.44496726989746,18.17840003967285,18.28980255126953,12.075685501098633,494450,0.0,0.0
-2022-06-02 00:00:00+02:00,18.3494815826416,18.532499313354492,18.3494815826416,18.4569034576416,12.186012268066406,412331,0.0,0.0
-2022-06-03 00:00:00+02:00,18.592178344726562,18.639921188354492,18.433032989501953,18.564327239990234,12.256937980651855,487960,0.0,0.0
-2022-06-06 00:00:00+02:00,18.72745132446289,18.830896377563477,18.56830596923828,18.592178344726562,12.2753267288208,605186,0.0,0.0
-2022-06-07 00:00:00+02:00,18.500669479370117,18.540456771850586,18.32560920715332,18.468839645385742,12.193892478942871,606368,0.0,0.0
-2022-06-08 00:00:00+02:00,18.512605667114258,18.616050720214844,18.44496726989746,18.564327239990234,12.256937980651855,631100,0.0,0.0
-2022-06-09 00:00:00+02:00,18.452926635742188,18.82691764831543,18.401203155517578,18.41313934326172,12.15711784362793,1105870,0.0,0.0
-2022-06-10 00:00:00+02:00,18.273887634277344,18.31367301940918,17.685047149658203,17.685047149658203,11.676401138305664,933108,0.0,0.0
-2022-06-13 00:00:00+02:00,17.506010055541992,17.768600463867188,17.223526000976562,17.521923065185547,11.56869888305664,1102884,0.0,0.0
-2022-06-14 00:00:00+02:00,17.71289825439453,17.756664276123047,17.255355834960938,17.255355834960938,11.3927001953125,815872,0.0,0.0
-2022-06-15 00:00:00+02:00,17.486116409301758,18.015274047851562,17.42245864868164,17.621389389038086,11.634371757507324,987976,0.0,0.0
-2022-06-16 00:00:00+02:00,17.533859252929688,17.577625274658203,16.328332901000977,16.328332901000977,10.78064250946045,1421657,0.0,0.0
-2022-06-17 00:00:00+02:00,16.391990661621094,16.694366455078125,16.06574249267578,16.248760223388672,10.728104591369629,3094063,0.0,0.0
-2022-06-20 00:00:00+02:00,16.40790557861328,16.427799224853516,16.12542152404785,16.356182098388672,10.799028396606445,496948,0.0,0.0
-2022-06-21 00:00:00+02:00,16.491456985473633,16.821683883666992,16.427799224853516,16.48349952697754,10.883090019226074,563534,0.0,0.0
-2022-06-22 00:00:00+02:00,16.208974838256836,16.208974838256836,15.759387016296387,15.819067001342773,10.444403648376465,1050007,0.0,0.0
-2022-06-23 00:00:00+02:00,15.735515594482422,15.799174308776855,15.285928726196289,15.30980110168457,10.108163833618164,1064414,0.0,0.0
-2022-06-24 00:00:00+02:00,15.413246154785156,15.898639678955078,15.234207153320312,15.86681079864502,10.475926399230957,1215616,0.0,0.0
-2022-06-27 00:00:00+02:00,16.01799964904785,16.328332901000977,15.958318710327148,16.117464065551758,10.64141845703125,1182615,0.0,0.0
-2022-06-28 00:00:00+02:00,16.248760223388672,16.519306182861328,16.045848846435547,16.181123733520508,10.683448791503906,1274280,0.0,0.0
-2022-06-29 00:00:00+02:00,16.014020919799805,16.06574249267578,15.468947410583496,15.528626441955566,10.252642631530762,1058236,0.0,0.0
-2022-06-30 00:00:00+02:00,15.234207153320312,15.381417274475098,14.800535202026367,15.381417274475098,10.155447959899902,1934410,0.0,0.0
-2022-07-01 00:00:00+02:00,15.277972221374512,15.679815292358398,15.230228424072266,15.377437591552734,10.15282154083252,909034,0.0,0.0
-2022-07-04 00:00:00+02:00,15.564434051513672,15.791215896606445,15.488840103149414,15.687771797180176,10.35771656036377,798569,0.0,0.0
-2022-07-05 00:00:00+02:00,15.763365745544434,15.91455364227295,14.884086608886719,14.884086608886719,9.8270902633667,1966763,0.0,0.0
-2022-07-06 00:00:00+02:00,15.079039573669434,15.202378273010254,14.907958984375,15.110869407653809,9.976822853088379,938909,0.0,0.0
-2022-07-07 00:00:00+02:00,15.301843643188477,15.898639678955078,15.23818588256836,15.807130813598633,10.436522483825684,1170179,0.0,0.0
-2022-07-08 00:00:00+02:00,15.69572925567627,16.39596939086914,15.532605171203613,16.049827575683594,10.596760749816895,1372047,0.0,0.0
-2022-07-11 00:00:00+02:00,15.608199119567871,15.69572925567627,15.285928726196289,15.488840103149414,10.226373672485352,877119,0.0,0.0
-2022-07-12 00:00:00+02:00,15.381417274475098,15.556476593017578,14.983552932739258,15.520668983459473,10.24738883972168,1161955,0.0,0.0
-2022-07-13 00:00:00+02:00,15.425182342529297,15.647985458374023,15.234207153320312,15.357544898986816,10.139686584472656,1081802,0.0,0.0
-2022-07-14 00:00:00+02:00,15.333672523498535,15.357544898986816,14.728919982910156,14.888065338134766,9.829717636108398,896311,0.0,0.0
-2022-07-15 00:00:00+02:00,14.959680557250977,15.548519134521484,14.923872947692871,15.433138847351074,10.189598083496094,1160019,0.0,0.0
-2022-07-18 00:00:00+02:00,15.970254898071289,16.316396713256836,15.894660949707031,16.133378982543945,10.651925086975098,1770123,0.0,0.0
-2022-07-19 00:00:00+02:00,16.010042190551758,16.698345184326172,15.755409240722656,16.48349952697754,10.883090019226074,1574206,0.0,0.0
-2022-07-20 00:00:00+02:00,16.551136016845703,16.67845344543457,16.145315170288086,16.439735412597656,10.854194641113281,876721,0.0,0.0
-2022-07-21 00:00:00+02:00,16.30048179626465,16.646623611450195,16.16520881652832,16.364139556884766,10.804283142089844,1014598,0.0,0.0
-2022-07-22 00:00:00+02:00,16.244781494140625,16.463605880737305,15.98219108581543,16.037891387939453,10.58888053894043,1100753,0.0,0.0
-2022-07-25 00:00:00+02:00,16.014020919799805,16.39596939086914,15.874768257141113,16.11348533630371,10.638790130615234,826151,0.0,0.0
-2022-07-26 00:00:00+02:00,16.11348533630371,16.133378982543945,15.600241661071777,15.715621948242188,10.376105308532715,1071673,0.0,0.0
-2022-07-27 00:00:00+02:00,15.894660949707031,15.970254898071289,15.703685760498047,15.950362205505371,10.531089782714844,1076946,0.0,0.0
-2022-07-28 00:00:00+02:00,16.368118286132812,16.686410903930664,16.232845306396484,16.551136016845703,10.927746772766113,1713701,0.0,0.0
-2022-07-29 00:00:00+02:00,16.634687423706055,17.084274291992188,16.551136016845703,17.00868034362793,11.229835510253906,1096515,0.0,0.0
-2022-08-01 00:00:00+02:00,17.088253021240234,17.303098678588867,16.83759880065918,16.861469268798828,11.132641792297363,698449,0.0,0.0
-2022-08-02 00:00:00+02:00,16.833620071411133,16.992765426635742,16.674474716186523,16.937063217163086,11.182550430297852,683927,0.0,0.0
-2022-08-03 00:00:00+02:00,16.92115020751953,17.175783157348633,16.83759880065918,17.12008285522461,11.303388595581055,520776,0.0,0.0
-2022-08-04 00:00:00+02:00,17.132017135620117,17.334928512573242,17.004701614379883,17.064380645751953,11.266611099243164,770841,0.0,0.0
-2022-08-05 00:00:00+02:00,17.100189208984375,17.283206939697266,16.821683883666992,17.104167938232422,11.292880058288574,676884,0.0,0.0
-2022-08-08 00:00:00+02:00,17.283206939697266,17.47020149230957,17.076316833496094,17.319013595581055,11.434730529785156,640299,0.0,0.0
-2022-08-09 00:00:00+02:00,17.247398376464844,17.342885971069336,16.9808292388916,17.112125396728516,11.298134803771973,513653,0.0,0.0
-2022-08-10 00:00:00+02:00,17.084274291992188,17.43439483642578,16.90921401977539,17.394607543945312,11.484639167785645,565334,0.0,0.0
-2022-08-11 00:00:00+02:00,17.45826530456543,17.474180221557617,17.15191078186035,17.267290115356445,11.400580406188965,740132,0.0,0.0
-2022-08-12 00:00:00+02:00,17.23944091796875,17.486116409301758,17.231483459472656,17.342885971069336,11.450491905212402,966868,0.0,0.0
-2022-08-15 00:00:00+02:00,17.346864700317383,17.474180221557617,17.064380645751953,17.243419647216797,11.384819984436035,404314,0.0,0.0
-2022-08-16 00:00:00+02:00,17.342885971069336,17.426437377929688,17.175783157348633,17.36277961730957,11.46362590789795,615567,0.0,0.0
-2022-08-17 00:00:00+02:00,17.44632911682129,17.525903701782227,16.742111206054688,16.76598358154297,11.069597244262695,1020374,0.0,0.0
-2022-08-18 00:00:00+02:00,16.821683883666992,17.25137710571289,16.769962310791016,16.853513717651367,11.127388000488281,738694,0.0,0.0
-2022-08-19 00:00:00+02:00,16.69038963317871,16.901256561279297,16.606836318969727,16.606836318969727,10.964521408081055,628184,0.0,0.0
-2022-08-22 00:00:00+02:00,16.479520797729492,16.527265548706055,15.92251205444336,15.978212356567383,10.549478530883789,866276,0.0,0.0
-2022-08-23 00:00:00+02:00,15.942404747009277,16.292524337768555,15.918533325195312,16.292524337768555,10.756999015808105,860233,0.0,0.0
-2022-08-24 00:00:00+02:00,16.268653869628906,16.308439254760742,15.950362205505371,16.240802764892578,10.72284984588623,704240,0.0,0.0
-2022-08-25 00:00:00+02:00,16.388011932373047,16.523286819458008,16.216930389404297,16.292524337768555,10.756999015808105,479490,0.0,0.0
-2022-08-26 00:00:00+02:00,16.439735412597656,16.598880767822266,15.958318710327148,15.990147590637207,10.557356834411621,546820,0.0,0.0
-2022-08-29 00:00:00+02:00,15.91455364227295,16.44769287109375,15.743473052978516,16.43177604675293,10.84893798828125,771344,0.0,0.0
-2022-08-30 00:00:00+02:00,16.54317855834961,16.67845344543457,16.15327262878418,16.248760223388672,10.728104591369629,741509,0.0,0.0
-2022-08-31 00:00:00+02:00,16.356182098388672,16.44371223449707,16.0418701171875,16.0418701171875,10.591507911682129,956161,0.0,0.0
-2022-09-01 00:00:00+02:00,15.978212356567383,15.978212356567383,15.691749572753906,15.755409240722656,10.402374267578125,998562,0.0,0.0
-2022-09-02 00:00:00+02:00,16.161230087280273,16.519306182861328,15.962298393249512,16.391990661621094,10.822671890258789,997552,0.0,0.0
-2022-09-05 00:00:00+02:00,15.874768257141113,15.91455364227295,15.520668983459473,15.723580360412598,10.381360054016113,1129909,0.0,0.0
-2022-09-06 00:00:00+02:00,15.763365745544434,16.09359359741211,15.683793067932129,15.86681079864502,10.475926399230957,638791,0.0,0.0
-2022-09-07 00:00:00+02:00,15.616155624389648,16.264673233032227,15.58034896850586,16.21295166015625,10.704462051391602,819365,0.0,0.0
-2022-09-08 00:00:00+02:00,16.292524337768555,16.364139556884766,15.954340934753418,16.14133644104004,10.65717887878418,690130,0.0,0.0
-2022-09-09 00:00:00+02:00,16.19305992126465,16.575008392333984,16.19305992126465,16.427799224853516,10.8463134765625,623223,0.0,0.0
-2022-09-12 00:00:00+02:00,16.614795684814453,17.076316833496094,16.571029663085938,16.98480796813965,11.21407413482666,880959,0.0,0.0
-2022-09-13 00:00:00+02:00,17.02061653137207,17.549774169921875,16.698345184326172,16.722217559814453,11.04069995880127,1949078,0.0,0.0
-2022-09-14 00:00:00+02:00,16.55511474609375,16.65458106994629,16.06574249267578,16.316396713256836,10.772761344909668,1147799,0.0,0.0
-2022-09-15 00:00:00+02:00,16.316396713256836,16.50737190246582,16.01799964904785,16.12542152404785,10.646671295166016,704698,0.0,0.0
-2022-09-16 00:00:00+02:00,15.92648983001709,16.05380630493164,15.647985458374023,15.954340934753418,10.533716201782227,1934284,0.0,0.0
-2022-09-19 00:00:00+02:00,15.890682220458984,16.419841766357422,15.791215896606445,16.368118286132812,10.806910514831543,961766,0.0,0.0
-2022-09-20 00:00:00+02:00,16.44769287109375,16.55511474609375,15.930468559265137,15.99412727355957,10.559986114501953,712846,0.0,0.0
-2022-09-21 00:00:00+02:00,15.894660949707031,16.137357711791992,15.815088272094727,16.1294002532959,10.649297714233398,557165,0.0,0.0
-2022-09-22 00:00:00+02:00,15.727558135986328,16.197038650512695,15.667879104614258,16.069721221923828,10.609895706176758,892616,0.0,0.0
-2022-09-23 00:00:00+02:00,16.0418701171875,16.161230087280273,15.64002799987793,15.854874610900879,10.468045234680176,1425407,0.0,0.0
-2022-09-26 00:00:00+02:00,15.675835609436035,16.037891387939453,15.604220390319824,15.604220390319824,10.302553176879883,823367,0.0,0.0
-2022-09-27 00:00:00+02:00,15.6360502243042,15.886704444885254,15.492818832397461,15.687771797180176,10.35771656036377,1239006,0.0,0.0
-2022-09-28 00:00:00+02:00,15.433138847351074,16.109508514404297,15.170549392700195,15.990147590637207,10.557356834411621,1753368,0.0,0.0
-2022-09-29 00:00:00+02:00,15.986169815063477,15.986169815063477,15.40926742553711,15.516690254211426,10.24476146697998,1373640,0.0,0.0
-2022-09-30 00:00:00+02:00,15.6360502243042,15.894660949707031,15.528626441955566,15.842939376831055,10.460165023803711,1225082,0.0,0.0
-2022-10-03 00:00:00+02:00,15.671856880187988,16.419841766357422,15.628091812133789,16.34822654724121,10.793776512145996,968647,0.0,0.0
-2022-10-04 00:00:00+02:00,16.618772506713867,17.267290115356445,16.618772506713867,17.267290115356445,11.400580406188965,1425231,0.0,0.0
-2022-10-05 00:00:00+02:00,17.100189208984375,17.35084342956543,17.016637802124023,17.08029556274414,11.277118682861328,1216119,0.0,0.0
-2022-10-06 00:00:00+02:00,17.203632354736328,17.32697105407715,16.88534164428711,16.976850509643555,11.208819389343262,825166,0.0,0.0
-2022-10-07 00:00:00+02:00,16.976850509643555,17.12803840637207,16.65458106994629,16.730175018310547,11.045954704284668,839674,0.0,0.0
-2022-10-10 00:00:00+02:00,16.610815048217773,17.56966781616211,16.586944580078125,17.402565002441406,11.489893913269043,1029281,0.0,0.0
-2022-10-11 00:00:00+02:00,17.088253021240234,17.23944091796875,16.284568786621094,16.463605880737305,10.869954109191895,2020228,0.0,0.0
-2022-10-12 00:00:00+02:00,16.499414443969727,16.929107666015625,16.320375442504883,16.789854049682617,11.085356712341309,1510536,0.0,0.0
-2022-10-13 00:00:00+02:00,16.694366455078125,17.17976188659668,16.384033203125,17.17976188659668,11.342791557312012,1551570,0.0,0.0
-2022-10-14 00:00:00+02:00,17.525903701782227,17.69300651550293,16.841577529907227,17.012659072875977,11.232461929321289,1388605,0.0,0.0
-2022-10-17 00:00:00+02:00,17.012659072875977,17.49407386779785,16.913192749023438,17.287185668945312,11.413715362548828,857670,0.0,0.0
-2022-10-18 00:00:00+02:00,17.43439483642578,17.951616287231445,17.39858627319336,17.617412567138672,11.631746292114258,1118895,0.0,0.0
-2022-10-19 00:00:00+02:00,17.732791900634766,17.820322036743164,17.565689086914062,17.58160400390625,11.60810375213623,659672,0.0,0.0
-2022-10-20 00:00:00+02:00,17.4980525970459,17.796449661254883,17.414501190185547,17.677091598510742,11.671148300170898,869126,0.0,0.0
-2022-10-21 00:00:00+02:00,17.506010055541992,17.85215187072754,17.346864700317383,17.85215187072754,11.786728858947754,781749,0.0,0.0
-2022-10-24 00:00:00+02:00,18.699600219726562,18.834875106811523,17.708919525146484,18.345502853393555,12.11246109008789,1695268,0.0,0.0
-2022-10-25 00:00:00+02:00,18.440990447998047,18.627986907958984,17.931724548339844,18.202272415161133,12.017894744873047,1131150,0.0,0.0
-2022-10-26 00:00:00+02:00,18.22614288330078,18.43701171875,17.975488662719727,18.329587936401367,12.10195255279541,1222905,0.0,0.0
-2022-10-27 00:00:00+02:00,18.341524124145508,18.600135803222656,18.08291244506836,18.293779373168945,12.078311920166016,778065,0.0,0.0
-2022-10-28 00:00:00+02:00,18.078933715820312,18.32560920715332,17.975488662719727,18.269908905029297,12.06255054473877,1099727,0.0,0.0
-2022-10-31 00:00:00+01:00,18.369373321533203,18.532499313354492,18.14259147644043,18.150548934936523,11.983743667602539,1018936,0.0,0.0
-2022-11-01 00:00:00+01:00,18.293779373168945,18.492712020874023,18.063018798828125,18.15452766418457,11.986371040344238,1016061,0.0,0.0
-2022-11-02 00:00:00+01:00,18.186357498168945,18.194313049316406,17.88397979736328,18.063018798828125,11.925954818725586,1299861,0.0,0.0
-2022-11-03 00:00:00+01:00,17.69300651550293,18.015274047851562,17.406543731689453,17.98344612121582,11.873414993286133,1179101,0.0,0.0
-2022-11-04 00:00:00+01:00,18.202272415161133,18.894554138183594,18.15452766418457,18.791109085083008,12.406668663024902,1369272,0.0,0.0
-2022-11-07 00:00:00+01:00,18.759281158447266,19.391883850097656,18.659814834594727,19.336183547973633,12.766550064086914,1259541,0.0,0.0
-2022-11-08 00:00:00+01:00,19.332204818725586,19.566944122314453,19.188974380493164,19.41177749633789,12.816459655761719,886906,0.0,0.0
-2022-11-09 00:00:00+01:00,19.415756225585938,19.415756225585938,18.954233169555664,19.208866119384766,12.682489395141602,1198007,0.0,0.0
-2022-11-10 00:00:00+01:00,19.153165817260742,19.59479522705078,19.03778648376465,19.586837768554688,12.93204116821289,1410472,0.0,0.0
-2022-11-11 00:00:00+01:00,19.59479522705078,19.857385635375977,19.562965393066406,19.78974723815918,13.066010475158691,1274687,0.0,0.0
-2022-11-14 00:00:00+01:00,19.81361961364746,20.112018585205078,19.690282821655273,20.032445907592773,13.226252555847168,1295287,0.0,0.0
-2022-11-15 00:00:00+01:00,20.01255226135254,20.191591262817383,19.61071014404297,19.805662155151367,13.076519966125488,1056914,0.0,0.0
-2022-11-16 00:00:00+01:00,19.75394058227539,19.785770416259766,19.276504516601562,19.44758415222168,12.840100288391113,1015000,0.0,0.0
-2022-11-17 00:00:00+01:00,19.4833927154541,19.65447425842285,19.09746551513672,19.296396255493164,12.740280151367188,644501,0.0,0.0
-2022-11-18 00:00:00+01:00,19.42371368408203,19.666410446166992,19.332204818725586,19.666410446166992,12.984579086303711,829590,0.0,0.0
-2022-11-21 00:00:00+01:00,19.598773956298828,19.606731414794922,19.02187156677246,19.101444244384766,12.611564636230469,918183,0.0,0.0
-2022-11-22 00:00:00+01:00,19.137252807617188,19.49930763244629,19.073593139648438,19.395862579345703,12.805953025817871,915438,0.0,0.0
-2022-11-23 00:00:00+01:00,19.475435256958008,19.51124382019043,19.149187088012695,19.264568328857422,12.719265937805176,867427,0.0,0.0
-2022-11-24 00:00:00+01:00,19.31231117248535,19.551029205322266,19.31231117248535,19.539094924926758,12.900519371032715,658838,0.0,0.0
-2022-11-25 00:00:00+01:00,19.535114288330078,19.574901580810547,19.371990203857422,19.419734954833984,12.8217134475708,444192,0.0,0.0
-2022-11-28 00:00:00+01:00,19.296396255493164,19.356077194213867,19.085529327392578,19.16908073425293,12.656221389770508,743198,0.0,0.0
-2022-11-29 00:00:00+01:00,18.830896377563477,18.978105545043945,18.572284698486328,18.72745132446289,12.364640235900879,1801344,0.0,0.0
-2022-11-30 00:00:00+01:00,18.89853286743164,18.92638397216797,18.405181884765625,18.675729751586914,12.330490112304688,1555300,0.0,0.0
-2022-12-01 00:00:00+01:00,18.87466049194336,18.958213806152344,18.56830596923828,18.73938751220703,12.372520446777344,1102744,0.0,0.0
-2022-12-02 00:00:00+01:00,18.663793563842773,19.013914108276367,18.55636978149414,19.005956649780273,12.5485200881958,783142,0.0,0.0
-2022-12-05 00:00:00+01:00,18.966169357299805,19.061656951904297,18.73938751220703,18.86272621154785,12.453953742980957,726414,0.0,0.0
-2022-12-06 00:00:00+01:00,18.870683670043945,19.073593139648438,18.791109085083008,18.962190628051758,12.519624710083008,752418,0.0,0.0
-2022-12-07 00:00:00+01:00,18.922405242919922,18.958213806152344,18.572284698486328,18.62002944946289,12.293715476989746,1312303,0.0,0.0
-2022-12-08 00:00:00+01:00,18.48475456237793,18.759281158447266,18.421096801757812,18.516584396362305,12.225415229797363,1077991,0.0,0.0
-2022-12-09 00:00:00+01:00,18.56830596923828,18.890575408935547,18.52056312561035,18.83885383605957,12.438191413879395,876148,0.0,0.0
-2022-12-12 00:00:00+01:00,18.735408782958984,18.763259887695312,18.417118072509766,18.468839645385742,12.193892478942871,1151398,0.0,0.0
-2022-12-13 00:00:00+01:00,18.604114532470703,19.065635681152344,18.552391052246094,18.942298889160156,12.506489753723145,1226494,0.0,0.0
-2022-12-14 00:00:00+01:00,18.858747482299805,19.017892837524414,18.75530242919922,18.8865966796875,12.469715118408203,958418,0.0,0.0
-2022-12-15 00:00:00+01:00,18.73938751220703,18.751323699951172,18.369373321533203,18.47281837463379,12.19651985168457,1115743,0.0,0.0
-2022-12-16 00:00:00+01:00,18.4569034576416,18.627986907958984,18.329587936401367,18.564327239990234,12.256937980651855,1941860,0.0,0.0
-2022-12-19 00:00:00+01:00,18.58422088623047,18.75530242919922,18.548412322998047,18.627986907958984,12.298968315124512,778150,0.0,0.0
-2022-12-20 00:00:00+01:00,18.504648208618164,18.7990665435791,18.393245697021484,18.7990665435791,12.411921501159668,935164,0.0,0.0
-2022-12-21 00:00:00+01:00,18.89853286743164,19.244674682617188,18.8865966796875,19.208866119384766,12.682489395141602,1124419,0.0,0.0
-2022-12-22 00:00:00+01:00,19.272525787353516,19.38790512084961,18.783153533935547,18.82691764831543,12.430309295654297,1217165,0.0,0.0
-2022-12-23 00:00:00+01:00,18.89853286743164,19.14520835876465,18.81498146057129,19.0338077545166,12.566908836364746,552525,0.0,0.0
-2022-12-27 00:00:00+01:00,19.177038192749023,19.24069595336914,19.03778648376465,19.04972267150879,12.57741641998291,387951,0.0,0.0
-2022-12-28 00:00:00+01:00,19.09746551513672,19.177038192749023,18.934341430664062,19.005956649780273,12.5485200881958,517744,0.0,0.0
-2022-12-29 00:00:00+01:00,19.001977920532227,19.077571868896484,18.8865966796875,19.045743942260742,12.574789047241211,398794,0.0,0.0
-2022-12-30 00:00:00+01:00,18.946277618408203,19.017892837524414,18.75530242919922,18.791109085083008,12.406668663024902,449339,0.0,0.0
-2023-01-02 00:00:00+01:00,18.990041732788086,19.383926391601562,18.914447784423828,19.383926391601562,12.798072814941406,671340,0.0,0.0
-2023-01-03 00:00:00+01:00,19.356077194213867,19.78179168701172,19.344141006469727,19.435649871826172,12.832221984863281,983215,0.0,0.0
-2023-01-04 00:00:00+01:00,19.48737144470215,19.982711791992188,19.44758415222168,19.94292640686035,13.167146682739258,1333355,0.0,0.0
-2023-01-05 00:00:00+01:00,19.932979583740234,20.121965408325195,19.845449447631836,20.002605438232422,13.206549644470215,1261924,0.0,0.0
-2023-01-06 00:00:00+01:00,20.112018585205078,20.410415649414062,19.95287322998047,20.410415649414062,13.47580337524414,641716,0.0,0.0
-2023-01-09 00:00:00+01:00,20.410415649414062,20.569562911987305,20.32089614868164,20.440256118774414,13.495504379272461,839910,0.0,0.0
-2023-01-10 00:00:00+01:00,20.48004150390625,20.48004150390625,19.932979583740234,20.17169761657715,13.31818962097168,1099813,0.0,0.0
-2023-01-11 00:00:00+01:00,20.241323471069336,20.838119506835938,20.10207176208496,20.599401473999023,13.600579261779785,1479852,0.0,0.0
-2023-01-12 00:00:00+01:00,20.60934829711914,20.758546829223633,20.470096588134766,20.639188766479492,13.626847267150879,1067892,0.0,0.0
-2023-01-13 00:00:00+01:00,20.559614181518555,21.01715850830078,20.430309295654297,20.788387298583984,13.72535514831543,1563851,0.0,0.0
-2023-01-16 00:00:00+01:00,20.589454650878906,20.72870635986328,20.181644439697266,20.70881462097168,14.766735076904297,790612,1.54,0.0
-2023-01-17 00:00:00+01:00,20.698867797851562,20.997264862060547,20.499935150146484,20.659080505371094,14.731270790100098,917298,0.0,0.0
-2023-01-18 00:00:00+01:00,20.649133682250977,20.80828094482422,20.39052391052246,20.688920974731445,14.752549171447754,976454,0.0,0.0
-2023-01-19 00:00:00+01:00,20.569562911987305,20.57950782775879,20.26121711730957,20.39052391052246,14.539773941040039,888012,0.0,0.0
-2023-01-20 00:00:00+01:00,20.529775619506836,20.649133682250977,20.340789794921875,20.619295120239258,14.702900886535645,757103,0.0,0.0
-2023-01-23 00:00:00+01:00,20.678974151611328,20.70881462097168,20.5098819732666,20.57950782775879,14.674530029296875,540245,0.0,0.0
-2023-01-24 00:00:00+01:00,20.688920974731445,20.72870635986328,20.599401473999023,20.72870635986328,14.780917167663574,497230,0.0,0.0
-2023-01-25 00:00:00+01:00,20.72870635986328,20.788387298583984,20.539722442626953,20.72870635986328,14.780917167663574,610198,0.0,0.0
-2023-01-26 00:00:00+01:00,20.82817268371582,21.01715850830078,20.549667358398438,21.01715850830078,14.986603736877441,1177819,0.0,0.0
-2023-01-27 00:00:00+01:00,21.0271053314209,21.315555572509766,20.937585830688477,21.196197509765625,15.11427116394043,1399061,0.0,0.0
-2023-01-30 00:00:00+01:00,21.106678009033203,21.196197509765625,20.967424392700195,21.096731185913086,15.043343544006348,1048142,0.0,0.0
-2023-01-31 00:00:00+01:00,21.156410217285156,21.255876541137695,21.007211685180664,21.216089248657227,15.128454208374023,1153987,0.0,0.0
-2023-02-01 00:00:00+01:00,21.36528968811035,21.633846282958984,21.295663833618164,21.604007720947266,15.40506649017334,1127903,0.0,0.0
-2023-02-02 00:00:00+01:00,21.604007720947266,21.922298431396484,21.514488220214844,21.792993545532227,15.539824485778809,1405008,0.0,0.0
-2023-02-03 00:00:00+01:00,21.733312606811523,21.981977462768555,21.6437931060791,21.981977462768555,15.674581527709961,1224408,0.0,0.0
-2023-02-06 00:00:00+01:00,21.713420867919922,21.862619400024414,21.514488220214844,21.6437931060791,15.43343448638916,1078283,0.0,0.0
-2023-02-07 00:00:00+01:00,21.812885284423828,21.912351608276367,21.6437931060791,21.65374183654785,15.440529823303223,983431,0.0,0.0
-2023-02-08 00:00:00+01:00,21.68358039855957,22.051603317260742,21.68358039855957,21.832778930664062,15.568195343017578,983919,0.0,0.0
-2023-02-09 00:00:00+01:00,21.862619400024414,22.03171157836914,21.74325942993164,21.892459869384766,15.610750198364258,921355,0.0,0.0
-2023-02-10 00:00:00+01:00,21.773099899291992,21.892459869384766,21.39512825012207,21.58411407470703,15.390880584716797,931770,0.0,0.0
-2023-02-13 00:00:00+01:00,21.613954544067383,21.68358039855957,21.484647750854492,21.534381866455078,15.355417251586914,653816,0.0,0.0
-2023-02-14 00:00:00+01:00,21.564220428466797,21.6437931060791,21.415021896362305,21.484647750854492,15.319952964782715,566610,0.0,0.0
-2023-02-15 00:00:00+01:00,21.385181427001953,21.72336769104004,21.345396041870117,21.703474044799805,15.475992202758789,971141,0.0,0.0
-2023-02-16 00:00:00+01:00,21.733312606811523,21.852672576904297,21.58411407470703,21.753206253051758,15.511454582214355,860626,0.0,0.0
-2023-02-17 00:00:00+01:00,21.604007720947266,21.822832107543945,21.484647750854492,21.763153076171875,15.518546104431152,558814,0.0,0.0
-2023-02-20 00:00:00+01:00,21.78304672241211,22.340055465698242,21.78304672241211,22.340055465698242,15.929916381835938,997833,0.0,0.0
-2023-02-21 00:00:00+01:00,22.300268173217773,22.4693603515625,22.111284255981445,22.19085693359375,15.823527336120605,907456,0.0,0.0
-2023-02-22 00:00:00+01:00,21.59406089782715,22.011817932128906,21.484647750854492,21.97203254699707,15.66749095916748,1114536,0.0,0.0
-2023-02-23 00:00:00+01:00,22.06155014038086,22.06155014038086,21.05694580078125,21.126571655273438,15.064623832702637,2085708,0.0,0.0
-2023-02-24 00:00:00+01:00,21.126571655273438,21.763153076171875,20.967424392700195,21.07683753967285,15.029159545898438,1493284,0.0,0.0
-2023-02-27 00:00:00+01:00,21.285715103149414,21.604007720947266,21.206144332885742,21.454809188842773,15.298676490783691,744495,0.0,0.0
-2023-02-28 00:00:00+01:00,21.325502395629883,21.72336769104004,21.265823364257812,21.534381866455078,15.355417251586914,1797489,0.0,0.0
-2023-03-01 00:00:00+01:00,21.613954544067383,21.663686752319336,21.30561065673828,21.37523651123047,15.241935729980469,1095414,0.0,0.0
-2023-03-02 00:00:00+01:00,21.295663833618164,21.43491554260254,21.096731185913086,21.355342864990234,15.227750778198242,729153,0.0,0.0
-2023-03-03 00:00:00+01:00,21.454809188842773,21.673633575439453,21.444862365722656,21.59406089782715,15.39797306060791,731340,0.0,0.0
-2023-03-06 00:00:00+01:00,21.59406089782715,21.633846282958984,21.136518478393555,21.136518478393555,15.071715354919434,1177638,0.0,0.0
-2023-03-07 00:00:00+01:00,21.14646339416504,21.255876541137695,21.0469970703125,21.126571655273438,15.064623832702637,894823,0.0,0.0
-2023-03-08 00:00:00+01:00,21.0271053314209,21.216089248657227,20.7386531829834,21.216089248657227,15.128454208374023,1145240,0.0,0.0
-2023-03-09 00:00:00+01:00,21.07683753967285,21.196197509765625,21.01715850830078,21.066890716552734,15.022066116333008,611676,0.0,0.0
-2023-03-10 00:00:00+01:00,20.76849365234375,21.007211685180664,20.589454650878906,20.897798538208008,14.901491165161133,1111284,0.0,0.0
-2023-03-13 00:00:00+01:00,20.688920974731445,20.778440475463867,20.07223129272461,20.221431732177734,14.419198036193848,1243550,0.0,0.0
-2023-03-14 00:00:00+01:00,20.181644439697266,20.470096588134766,19.903139114379883,20.400468826293945,14.546865463256836,1301756,0.0,0.0
-2023-03-15 00:00:00+01:00,20.430309295654297,20.440256118774414,19.093486785888672,19.121337890625,13.634759902954102,2538134,0.0,0.0
-2023-03-16 00:00:00+01:00,19.578880310058594,19.68232536315918,18.914447784423828,19.344141006469727,13.793633460998535,1772646,0.0,0.0
-2023-03-17 00:00:00+01:00,19.395862579345703,19.68232536315918,18.87466049194336,19.20488739013672,13.694336891174316,2459464,0.0,0.0
-2023-03-20 00:00:00+01:00,19.196931838989258,19.531137466430664,18.723472595214844,19.467479705810547,13.881580352783203,903163,0.0,0.0
-2023-03-21 00:00:00+01:00,19.73006820678711,20.17169761657715,19.646516799926758,19.972766876220703,14.241883277893066,1270092,0.0,0.0
-2023-03-22 00:00:00+01:00,19.932979583740234,20.340789794921875,19.869321823120117,20.032445907592773,14.284439086914062,1100120,0.0,0.0
-2023-03-23 00:00:00+01:00,19.962818145751953,19.962818145751953,19.6584529876709,19.845449447631836,14.151098251342773,1594495,0.0,0.0
-2023-03-24 00:00:00+01:00,19.74200439453125,19.761898040771484,19.165102005004883,19.726089477539062,14.065988540649414,2008460,0.0,0.0
-2023-03-27 00:00:00+02:00,20.07223129272461,20.301002502441406,19.833513259887695,20.221431732177734,14.419198036193848,1382281,0.0,0.0
-2023-03-28 00:00:00+02:00,20.42036247253418,20.559614181518555,20.13191032409668,20.470096588134766,14.596513748168945,1220512,0.0,0.0
-2023-03-29 00:00:00+02:00,20.559614181518555,20.639188766479492,20.370630264282227,20.539722442626953,14.646161079406738,791707,0.0,0.0
-2023-03-30 00:00:00+02:00,20.659080505371094,21.01715850830078,20.629241943359375,20.82817268371582,14.851842880249023,968974,0.0,0.0
-2023-03-31 00:00:00+02:00,20.82817268371582,21.01715850830078,20.748600006103516,20.95747947692871,14.944049835205078,1172265,0.0,0.0
-2023-04-03 00:00:00+02:00,20.967424392700195,21.066890716552734,20.688920974731445,20.937585830688477,14.929863929748535,1141103,0.0,0.0
-2023-04-04 00:00:00+02:00,21.08678436279297,21.186250686645508,20.858013153076172,20.858013153076172,14.873122215270996,728163,0.0,0.0
-2023-04-05 00:00:00+02:00,20.897798538208008,20.947532653808594,20.46014976501465,20.499935150146484,14.617789268493652,1310588,0.0,0.0
-2023-04-06 00:00:00+02:00,20.649133682250977,20.758546829223633,20.470096588134766,20.589454650878906,14.681623458862305,957116,0.0,0.0
-2023-04-11 00:00:00+02:00,20.887853622436523,21.216089248657227,20.867958068847656,21.196197509765625,15.11427116394043,1155390,0.0,0.0
-2023-04-12 00:00:00+02:00,21.156410217285156,21.285715103149414,20.907745361328125,21.226036071777344,15.135547637939453,907456,0.0,0.0
-2023-04-13 00:00:00+02:00,21.186250686645508,21.385181427001953,21.14646339416504,21.255876541137695,15.156824111938477,1096832,0.0,0.0
-2023-04-14 00:00:00+02:00,21.315555572509766,21.514488220214844,21.216089248657227,21.484647750854492,15.319952964782715,1071929,0.0,0.0
-2023-04-17 00:00:00+02:00,21.882511138916016,22.07149887084961,21.58411407470703,21.892459869384766,15.610750198364258,1508490,0.0,0.0
-2023-04-18 00:00:00+02:00,21.862619400024414,22.041658401489258,21.484647750854492,21.613954544067383,15.41215991973877,1127797,0.0,0.0
-2023-04-19 00:00:00+02:00,21.633846282958984,21.65374183654785,21.37523651123047,21.633846282958984,15.426342964172363,908843,0.0,0.0
-2023-04-20 00:00:00+02:00,21.68358039855957,21.68358039855957,21.484647750854492,21.6239013671875,15.41925048828125,810257,0.0,0.0
-2023-04-21 00:00:00+02:00,21.58411407470703,21.58411407470703,21.255876541137695,21.424968719482422,15.277397155761719,823291,0.0,0.0
-2023-04-24 00:00:00+02:00,21.385181427001953,21.703474044799805,21.295663833618164,21.633846282958984,15.426342964172363,882673,0.0,0.0
-2023-04-25 00:00:00+02:00,21.59406089782715,21.74325942993164,21.385181427001953,21.663686752319336,15.447622299194336,1318878,0.0,0.0
-2023-04-26 00:00:00+02:00,21.464754104614258,21.613954544067383,21.096731185913086,21.613954544067383,15.41215991973877,1135730,0.0,0.0
-2023-04-27 00:00:00+02:00,21.504541397094727,21.504541397094727,20.897798538208008,21.11662483215332,15.05752944946289,1167454,0.0,0.0
-2023-04-28 00:00:00+02:00,21.136518478393555,21.65374183654785,21.007211685180664,21.65374183654785,15.440529823303223,1480858,0.0,0.0
-2023-05-02 00:00:00+02:00,21.68358039855957,21.713420867919922,21.126571655273438,21.14646339416504,15.078805923461914,1146537,0.0,0.0
-2023-05-03 00:00:00+02:00,21.285715103149414,21.504541397094727,21.186250686645508,21.424968719482422,15.277397155761719,1054129,0.0,0.0
-2023-05-04 00:00:00+02:00,20.987319946289062,21.6437931060791,20.340789794921875,20.66902732849121,14.738363265991211,1741640,0.0,0.0
-2023-05-05 00:00:00+02:00,21.01715850830078,21.59406089782715,20.80828094482422,21.444862365722656,15.291584968566895,1420028,0.0,0.0
-2023-05-08 00:00:00+02:00,21.484647750854492,21.514488220214844,21.245929718017578,21.514488220214844,15.341232299804688,674713,0.0,0.0
-2023-05-09 00:00:00+02:00,21.663686752319336,21.663686752319336,21.17630386352539,21.444862365722656,15.291584968566895,853724,0.0,0.0
-2023-05-10 00:00:00+02:00,21.49459457397461,21.663686752319336,21.156410217285156,21.405075073242188,15.263213157653809,826931,0.0,0.0
-2023-05-11 00:00:00+02:00,21.464754104614258,21.633846282958984,21.106678009033203,21.37523651123047,15.241935729980469,1023400,0.0,0.0
-2023-05-12 00:00:00+02:00,21.37523651123047,21.43491554260254,21.206144332885742,21.37523651123047,17.269859313964844,847053,2.51,0.0
-2023-05-15 00:00:00+02:00,21.0469970703125,21.096731185913086,20.788387298583984,20.858013153076172,19.094114303588867,1023546,2.51,0.0
-2023-05-16 00:00:00+02:00,20.7386531829834,20.76849365234375,20.281110763549805,20.310949325561523,18.593313217163086,1280267,0.0,0.0
-2023-05-17 00:00:00+02:00,20.201536178588867,20.57950782775879,20.092124938964844,20.549667358398438,18.811845779418945,1106539,0.0,0.0
-2023-05-18 00:00:00+02:00,20.72870635986328,20.818225860595703,20.539722442626953,20.678974151611328,18.93021583557129,704356,0.0,0.0
-2023-05-19 00:00:00+02:00,20.818225860595703,20.897798538208008,20.66902732849121,20.72870635986328,18.97574234008789,1030030,0.0,0.0
-2023-05-22 00:00:00+02:00,20.66902732849121,20.788387298583984,20.57950782775879,20.76849365234375,19.01216697692871,853879,0.0,0.0
-2023-05-23 00:00:00+02:00,20.748600006103516,20.80828094482422,20.66902732849121,20.79833221435547,19.039480209350586,779729,0.0,0.0
-2023-05-24 00:00:00+02:00,20.60934829711914,20.60934829711914,20.291057586669922,20.489988327026367,18.757213592529297,846847,0.0,0.0
-2023-05-25 00:00:00+02:00,20.51982879638672,20.51982879638672,19.962818145751953,20.01255226135254,18.320152282714844,1017197,0.0,0.0
-2023-05-26 00:00:00+02:00,20.141857147216797,20.26121711730957,19.885236740112305,20.191591262817383,18.48404884338379,1058894,0.0,0.0
-2023-05-29 00:00:00+02:00,20.301002502441406,20.340789794921875,20.181644439697266,20.26121711730957,18.547786712646484,295090,0.0,0.0
-2023-05-30 00:00:00+02:00,20.301002502441406,20.340789794921875,20.052337646484375,20.092124938964844,18.392993927001953,641576,0.0,0.0
-2023-05-31 00:00:00+02:00,19.77781105041504,19.77781105041504,19.184995651245117,19.427692413330078,17.784751892089844,3164263,0.0,0.0
-2023-06-01 00:00:00+02:00,19.614688873291016,19.698240280151367,19.475435256958008,19.68232536315918,18.017852783203125,876148,0.0,0.0
-2023-06-02 00:00:00+02:00,19.857385635375977,20.499935150146484,19.8255558013916,20.440256118774414,18.711687088012695,1069712,0.0,0.0
-2023-06-05 00:00:00+02:00,20.529775619506836,20.589454650878906,20.39052391052246,20.499935150146484,18.766319274902344,850280,0.0,0.0
-2023-06-06 00:00:00+02:00,20.489988327026367,20.66902732849121,20.38057518005371,20.66902732849121,18.921110153198242,646291,0.0,0.0
-2023-06-07 00:00:00+02:00,20.678974151611328,20.92763900756836,20.569562911987305,20.92763900756836,19.157854080200195,885388,0.0,0.0
-2023-06-08 00:00:00+02:00,20.877906799316406,21.514488220214844,20.877906799316406,21.186250686645508,19.394594192504883,1247924,0.0,0.0
-2023-06-09 00:00:00+02:00,21.126571655273438,21.17630386352539,20.46014976501465,20.818225860595703,19.057693481445312,1294412,0.0,0.0
-2023-06-12 00:00:00+02:00,20.887853622436523,21.08678436279297,20.80828094482422,21.05694580078125,19.27622413635254,932962,0.0,0.0
-2023-06-13 00:00:00+02:00,21.166357040405273,21.454809188842773,20.907745361328125,21.424968719482422,19.61312484741211,905912,0.0,0.0
-2023-06-14 00:00:00+02:00,21.862619400024414,21.882511138916016,21.424968719482422,21.514488220214844,19.6950740814209,1696595,0.0,0.0
-2023-06-15 00:00:00+02:00,21.474702835083008,21.474702835083008,21.01715850830078,21.355342864990234,19.549386978149414,932700,0.0,0.0
-2023-06-16 00:00:00+02:00,21.444862365722656,21.52443504333496,20.04239273071289,20.569562911987305,18.83005714416504,3430067,0.0,0.0
-2023-06-19 00:00:00+02:00,20.291057586669922,20.291057586669922,19.932979583740234,19.982711791992188,18.29283332824707,1208865,0.0,0.0
-2023-06-20 00:00:00+02:00,19.495328903198242,20.121965408325195,19.208866119384766,19.821577072143555,18.145326614379883,2053697,0.0,0.0
-2023-06-21 00:00:00+02:00,19.845449447631836,19.923032760620117,19.662431716918945,19.923032760620117,18.238201141357422,644074,0.0,0.0
-2023-06-22 00:00:00+02:00,19.749961853027344,20.022499084472656,19.68232536315918,19.797706604003906,18.123476028442383,667821,0.0,0.0
-2023-06-23 00:00:00+02:00,19.65447425842285,19.805662155151367,19.539094924926758,19.686304092407227,18.02149200439453,893260,0.0,0.0
-2023-06-26 00:00:00+02:00,19.757919311523438,20.032445907592773,19.65447425842285,19.982711791992188,18.29283332824707,793819,0.0,0.0
-2023-06-27 00:00:00+02:00,20.092124938964844,20.211484909057617,19.74200439453125,19.95287322998047,18.265520095825195,871227,0.0,0.0
-2023-06-28 00:00:00+02:00,20.112018585205078,20.151803970336914,19.865341186523438,19.95287322998047,18.265520095825195,911547,0.0,0.0
-2023-06-29 00:00:00+02:00,20.01255226135254,20.181644439697266,19.903139114379883,20.092124938964844,18.392993927001953,1053234,0.0,0.0
-2023-06-30 00:00:00+02:00,20.092124938964844,20.46014976501465,20.092124938964844,20.350736618041992,18.629735946655273,934560,0.0,0.0
-2023-07-03 00:00:00+02:00,20.301002502441406,20.499935150146484,20.181644439697266,20.26121711730957,18.547786712646484,652308,0.0,0.0
-2023-07-04 00:00:00+02:00,20.241323471069336,20.241323471069336,20.032445907592773,20.181644439697266,18.474945068359375,483753,0.0,0.0
-2023-07-05 00:00:00+02:00,20.07223129272461,20.201536178588867,20.002605438232422,20.092124938964844,18.392993927001953,692829,0.0,0.0
-2023-07-06 00:00:00+02:00,19.903139114379883,20.002605438232422,19.634580612182617,19.74200439453125,18.07248306274414,1098682,0.0,0.0
-2023-07-07 00:00:00+02:00,19.7181339263916,20.350736618041992,19.7181339263916,20.350736618041992,18.629735946655273,909321,0.0,0.0
-2023-07-10 00:00:00+02:00,20.221431732177734,20.48004150390625,20.201536178588867,20.241323471069336,18.52957534790039,599989,0.0,0.0
-2023-07-11 00:00:00+02:00,20.291057586669922,20.60934829711914,20.211484909057617,20.51982879638672,18.784528732299805,514723,0.0,0.0
-2023-07-12 00:00:00+02:00,20.569562911987305,21.126571655273438,20.529775619506836,21.066890716552734,19.285327911376953,903369,0.0,0.0
-2023-07-13 00:00:00+02:00,20.967424392700195,21.226036071777344,20.92763900756836,20.967424392700195,19.194272994995117,830319,0.0,0.0
-2023-07-14 00:00:00+02:00,20.877906799316406,20.897798538208008,20.301002502441406,20.301002502441406,18.58420753479004,959780,0.0,0.0
-2023-07-17 00:00:00+02:00,20.191591262817383,20.330842971801758,20.151803970336914,20.201536178588867,18.493152618408203,678639,0.0,0.0
-2023-07-18 00:00:00+02:00,20.211484909057617,20.410415649414062,20.112018585205078,20.410415649414062,18.684368133544922,696082,0.0,0.0
-2023-07-19 00:00:00+02:00,20.340789794921875,20.430309295654297,20.04239273071289,20.310949325561523,18.593313217163086,1027451,0.0,0.0
-2023-07-20 00:00:00+02:00,20.330842971801758,20.589454650878906,20.330842971801758,20.589454650878906,18.8482666015625,771530,0.0,0.0
-2023-07-21 00:00:00+02:00,20.569562911987305,20.758546829223633,20.499935150146484,20.639188766479492,18.893795013427734,532559,0.0,0.0
-2023-07-24 00:00:00+02:00,20.529775619506836,20.788387298583984,20.48004150390625,20.778440475463867,19.021270751953125,576946,0.0,0.0
-2023-07-25 00:00:00+02:00,20.80828094482422,21.156410217285156,20.7386531829834,21.14646339416504,19.358171463012695,815268,0.0,0.0
-2023-07-26 00:00:00+02:00,21.066890716552734,21.206144332885742,20.867958068847656,20.967424392700195,19.194272994995117,501060,0.0,0.0
-2023-07-27 00:00:00+02:00,21.01715850830078,21.43491554260254,20.967424392700195,21.39512825012207,19.58580780029297,1024169,0.0,0.0
-2023-07-28 00:00:00+02:00,21.30561065673828,21.802940368652344,21.255876541137695,21.802940368652344,19.959131240844727,1075428,0.0,0.0
-2023-07-31 00:00:00+02:00,21.802940368652344,21.912351608276367,21.663686752319336,21.703474044799805,19.868078231811523,1096731,0.0,0.0
-2023-08-01 00:00:00+02:00,21.59406089782715,21.604007720947266,21.424968719482422,21.424968719482422,19.61312484741211,660286,0.0,0.0
-2023-08-02 00:00:00+02:00,21.186250686645508,21.58411407470703,21.08678436279297,21.454809188842773,19.64044189453125,858203,0.0,0.0
-2023-08-03 00:00:00+02:00,21.673633575439453,21.78304672241211,20.01255226135254,20.499935150146484,18.766319274902344,1721865,0.0,0.0
-2023-08-04 00:00:00+02:00,20.66902732849121,20.718759536743164,20.39052391052246,20.659080505371094,18.912006378173828,610022,0.0,0.0
-2023-08-07 00:00:00+02:00,20.589454650878906,20.80828094482422,20.45020294189453,20.80828094482422,19.048587799072266,484065,0.0,0.0
-2023-08-08 00:00:00+02:00,20.688920974731445,20.818225860595703,20.589454650878906,20.678974151611328,18.93021583557129,420797,0.0,0.0
-2023-08-09 00:00:00+02:00,20.858013153076172,21.037052154541016,20.76849365234375,20.858013153076172,19.094114303588867,550545,0.0,0.0
-2023-08-10 00:00:00+02:00,20.977371215820312,21.126571655273438,20.858013153076172,20.997264862060547,19.221590042114258,468059,0.0,0.0
-2023-08-11 00:00:00+02:00,20.877906799316406,21.0271053314209,20.748600006103516,20.758546829223633,19.003061294555664,462374,0.0,0.0
-2023-08-14 00:00:00+02:00,20.7386531829834,20.848066329956055,20.66902732849121,20.7386531829834,18.984848022460938,668188,0.0,0.0
-2023-08-15 00:00:00+02:00,20.788387298583984,20.818225860595703,20.430309295654297,20.57950782775879,18.839160919189453,432414,0.0,0.0
-2023-08-16 00:00:00+02:00,20.539722442626953,20.76849365234375,20.539722442626953,20.70881462097168,18.957534790039062,544437,0.0,0.0
-2023-08-17 00:00:00+02:00,20.57950782775879,20.76849365234375,20.549667358398438,20.688920974731445,18.939321517944336,564871,0.0,0.0
-2023-08-18 00:00:00+02:00,20.688920974731445,20.70881462097168,20.291057586669922,20.38057518005371,18.657052993774414,693870,0.0,0.0
-2023-08-21 00:00:00+02:00,20.39052391052246,20.66902732849121,20.39052391052246,20.569562911987305,18.83005714416504,793311,0.0,0.0
-2023-08-22 00:00:00+02:00,20.599401473999023,20.907745361328125,20.5098819732666,20.76849365234375,19.01216697692871,650046,0.0,0.0
-2023-08-23 00:00:00+02:00,20.80828094482422,20.858013153076172,20.330842971801758,20.370630264282227,18.647947311401367,647211,0.0,0.0
-2023-08-24 00:00:00+02:00,20.45020294189453,20.599401473999023,20.291057586669922,20.330842971801758,18.611526489257812,475896,0.0,0.0
-2023-08-25 00:00:00+02:00,20.301002502441406,20.45020294189453,20.26121711730957,20.291057586669922,18.575105667114258,318928,0.0,0.0
-2023-08-28 00:00:00+02:00,20.42036247253418,20.549667358398438,20.42036247253418,20.499935150146484,18.766319274902344,332741,0.0,0.0
-2023-08-29 00:00:00+02:00,20.66902732849121,20.897798538208008,20.66902732849121,20.838119506835938,19.075902938842773,523138,0.0,0.0
-2023-08-30 00:00:00+02:00,20.838119506835938,21.007211685180664,20.778440475463867,20.907745361328125,19.13964080810547,394929,0.0,0.0
-2023-08-31 00:00:00+02:00,20.947532653808594,21.36528968811035,20.92763900756836,21.265823364257812,19.467437744140625,2323236,0.0,0.0
-2023-09-01 00:00:00+02:00,21.255876541137695,21.9322452545166,21.255876541137695,21.87256622314453,20.022871017456055,966179,0.0,0.0
-2023-09-04 00:00:00+02:00,21.981977462768555,22.021764755249023,21.544328689575195,21.58411407470703,19.75881004333496,643546,0.0,0.0
-2023-09-05 00:00:00+02:00,21.504541397094727,21.78304672241211,21.424968719482422,21.6239013671875,19.79523277282715,541345,0.0,0.0
-2023-09-06 00:00:00+02:00,21.544328689575195,22.111284255981445,21.504541397094727,22.09139060974121,20.223190307617188,851678,0.0,0.0
-2023-09-07 00:00:00+02:00,21.882511138916016,21.90240478515625,21.424968719482422,21.464754104614258,19.649545669555664,700314,0.0,0.0
-2023-09-08 00:00:00+02:00,21.574167251586914,21.574167251586914,20.887853622436523,21.235984802246094,19.440122604370117,719356,0.0,0.0
-2023-09-11 00:00:00+02:00,21.345396041870117,21.564220428466797,21.315555572509766,21.52443504333496,19.704177856445312,524078,0.0,0.0
-2023-09-12 00:00:00+02:00,21.58411407470703,21.6239013671875,21.11662483215332,21.11662483215332,19.330856323242188,772781,0.0,0.0
-2023-09-13 00:00:00+02:00,21.0469970703125,21.36528968811035,20.76849365234375,20.818225860595703,19.057693481445312,691035,0.0,0.0
-2023-09-14 00:00:00+02:00,20.887853622436523,21.196197509765625,20.629241943359375,21.126571655273438,19.339962005615234,578423,0.0,0.0
-2023-09-15 00:00:00+02:00,21.295663833618164,21.952138900756836,21.295663833618164,21.84272575378418,19.99555206298828,2234985,0.0,0.0
-2023-09-18 00:00:00+02:00,21.802940368652344,21.84272575378418,21.673633575439453,21.713420867919922,19.87718391418457,856277,0.0,0.0
-2023-09-19 00:00:00+02:00,21.6437931060791,21.6437931060791,21.39512825012207,21.415021896362305,19.60401725769043,685505,0.0,0.0
-2023-09-20 00:00:00+02:00,21.52443504333496,21.792993545532227,21.504541397094727,21.74325942993164,19.904497146606445,752488,0.0,0.0
-2023-09-21 00:00:00+02:00,21.534381866455078,21.574167251586914,21.0271053314209,21.186250686645508,19.394594192504883,722196,0.0,0.0
-2023-09-22 00:00:00+02:00,21.08678436279297,21.295663833618164,20.95747947692871,21.096731185913086,19.312644958496094,535977,0.0,0.0
-2023-09-25 00:00:00+02:00,21.037052154541016,21.17630386352539,20.529775619506836,20.788387298583984,19.030376434326172,678523,0.0,0.0
-2023-09-26 00:00:00+02:00,20.72870635986328,20.72870635986328,20.410415649414062,20.489988327026367,18.757213592529297,999281,0.0,0.0
-2023-09-27 00:00:00+02:00,20.559614181518555,20.66902732849121,20.440256118774414,20.569562911987305,18.83005714416504,679654,0.0,0.0
-2023-09-28 00:00:00+02:00,20.57950782775879,20.858013153076172,20.42036247253418,20.80828094482422,19.048587799072266,791858,0.0,0.0
-2023-09-29 00:00:00+02:00,20.977371215820312,21.07683753967285,20.778440475463867,20.858013153076172,19.094114303588867,1368070,0.0,0.0
-2023-10-02 00:00:00+02:00,20.877906799316406,20.95747947692871,20.38057518005371,20.489988327026367,18.757213592529297,921943,0.0,0.0
-2023-10-03 00:00:00+02:00,20.45020294189453,20.559614181518555,20.241323471069336,20.430309295654297,18.70258140563965,870202,0.0,0.0
-2023-10-04 00:00:00+02:00,20.340789794921875,20.629241943359375,20.23137664794922,20.301002502441406,18.58420753479004,1412955,0.0,0.0
-2023-10-05 00:00:00+02:00,20.301002502441406,20.410415649414062,20.151803970336914,20.23137664794922,18.520471572875977,552761,0.0,0.0
-2023-10-06 00:00:00+02:00,20.271163940429688,20.489988327026367,20.17169761657715,20.370630264282227,18.647947311401367,824653,0.0,0.0
-2023-10-09 00:00:00+02:00,20.201536178588867,20.26121711730957,19.817598342895508,20.201536178588867,18.493152618408203,857112,0.0,0.0
-2023-10-10 00:00:00+02:00,20.310949325561523,20.619295120239258,20.281110763549805,20.470096588134766,18.739002227783203,881954,0.0,0.0
-2023-10-11 00:00:00+02:00,20.32089614868164,20.629241943359375,20.32089614868164,20.440256118774414,18.711687088012695,612797,0.0,0.0
-2023-10-12 00:00:00+02:00,20.569562911987305,20.688920974731445,20.271163940429688,20.32089614868164,18.602420806884766,484462,0.0,0.0
-2023-10-13 00:00:00+02:00,20.211484909057617,20.470096588134766,20.211484909057617,20.301002502441406,18.58420753479004,538324,0.0,0.0
-2023-10-16 00:00:00+02:00,20.340789794921875,20.489988327026367,20.26121711730957,20.310949325561523,18.593313217163086,495104,0.0,0.0
-2023-10-17 00:00:00+02:00,20.241323471069336,20.301002502441406,19.9130859375,20.221431732177734,18.511367797851562,618131,0.0,0.0
-2023-10-18 00:00:00+02:00,20.191591262817383,20.23137664794922,19.881256103515625,19.881256103515625,18.19995880126953,559829,0.0,0.0
-2023-10-19 00:00:00+02:00,19.714153289794922,19.84147071838379,19.551029205322266,19.630603790283203,17.970502853393555,708805,0.0,0.0
-2023-10-20 00:00:00+02:00,19.49930763244629,19.54705047607422,19.296396255493164,19.296396255493164,17.66455841064453,760144,0.0,0.0
-2023-10-23 00:00:00+02:00,19.3162899017334,19.344141006469727,19.005956649780273,19.16908073425293,17.548009872436523,652032,0.0,0.0
-2023-10-24 00:00:00+02:00,19.101444244384766,19.232738494873047,18.994020462036133,19.11735725402832,17.500661849975586,565349,0.0,0.0
-2023-10-25 00:00:00+02:00,19.133272171020508,19.184995651245117,18.882619857788086,19.093486785888672,17.478809356689453,597757,0.0,0.0
-2023-10-26 00:00:00+02:00,18.882619857788086,19.507265090942383,18.834875106811523,19.403820037841797,17.76289939880371,756208,0.0,0.0
-2023-10-27 00:00:00+02:00,19.519201278686523,19.75394058227539,19.20488739013672,19.20488739013672,17.58078956604004,767302,0.0,0.0
-2023-10-30 00:00:00+01:00,19.296396255493164,19.54705047607422,19.296396255493164,19.45156478881836,17.80660629272461,755454,0.0,0.0
-2023-10-31 00:00:00+01:00,19.455543518066406,19.972766876220703,19.443607330322266,19.84147071838379,18.163537979125977,1249155,0.0,0.0
-2023-11-01 00:00:00+01:00,19.903139114379883,20.04239273071289,19.551029205322266,19.618667602539062,17.959577560424805,645054,0.0,0.0
-2023-11-02 00:00:00+01:00,19.734046936035156,20.410415649414062,19.726089477539062,20.141857147216797,18.438520431518555,1414951,0.0,0.0
-2023-11-03 00:00:00+01:00,19.877277374267578,20.211484909057617,19.165102005004883,19.51124382019043,17.861236572265625,1786173,0.0,0.0
-2023-11-06 00:00:00+01:00,19.515222549438477,19.78179168701172,19.304353713989258,19.531137466430664,17.87944793701172,1141224,0.0,0.0
-2023-11-07 00:00:00+01:00,19.42371368408203,19.535114288330078,19.25263214111328,19.35209846496582,17.71554946899414,719557,0.0,0.0
-2023-11-08 00:00:00+01:00,19.228759765625,19.427692413330078,19.093486785888672,19.320268630981445,17.686412811279297,829203,0.0,0.0
-2023-11-09 00:00:00+01:00,19.308332443237305,19.903139114379883,19.308332443237305,19.574901580810547,17.919511795043945,1169455,0.0,0.0
-2023-11-10 00:00:00+01:00,19.479415893554688,19.761898040771484,19.244674682617188,19.761898040771484,18.090694427490234,991826,0.0,0.0
-2023-11-13 00:00:00+01:00,19.773834228515625,19.857385635375977,19.531137466430664,19.734046936035156,18.06519889831543,980360,0.0,0.0
-2023-11-14 00:00:00+01:00,19.79372787475586,20.410415649414062,19.78974723815918,20.340789794921875,18.62063217163086,892672,0.0,0.0
-2023-11-15 00:00:00+01:00,20.36068344116211,20.917692184448242,20.291057586669922,20.917692184448242,19.148746490478516,1168610,0.0,0.0
-2023-11-16 00:00:00+01:00,20.79833221435547,21.07683753967285,20.549667358398438,20.549667358398438,18.811845779418945,755625,0.0,0.0
-2023-11-17 00:00:00+01:00,20.549667358398438,20.848066329956055,20.549667358398438,20.559614181518555,18.820951461791992,784037,0.0,0.0
-2023-11-20 00:00:00+01:00,20.589454650878906,20.887853622436523,20.51982879638672,20.72870635986328,18.97574234008789,946072,0.0,0.0
-2023-11-21 00:00:00+01:00,20.688920974731445,20.82817268371582,20.470096588134766,20.629241943359375,18.884689331054688,1185330,0.0,0.0
-2023-11-22 00:00:00+01:00,20.629241943359375,20.838119506835938,20.559614181518555,20.599401473999023,18.85737419128418,1261386,0.0,0.0
-2023-11-23 00:00:00+01:00,20.599401473999023,20.76849365234375,20.599401473999023,20.7386531829834,18.984848022460938,633558,0.0,0.0
-2023-11-24 00:00:00+01:00,20.778440475463867,20.92763900756836,20.72870635986328,20.92763900756836,19.157854080200195,719180,0.0,0.0
-2023-11-27 00:00:00+01:00,20.887853622436523,20.907745361328125,20.51982879638672,20.57950782775879,18.839160919189453,1094505,0.0,0.0
-2023-11-28 00:00:00+01:00,20.529775619506836,20.66902732849121,20.330842971801758,20.60934829711914,18.866479873657227,1053370,0.0,0.0
-2023-11-29 00:00:00+01:00,20.60934829711914,21.037052154541016,20.569562911987305,20.977371215820312,19.203378677368164,957061,0.0,0.0
-2023-11-30 00:00:00+01:00,20.947532653808594,21.27577018737793,20.818225860595703,21.11662483215332,19.330856323242188,2370750,0.0,0.0
-2023-12-01 00:00:00+01:00,21.166357040405273,21.6437931060791,21.166357040405273,21.604007720947266,19.777023315429688,1195222,0.0,0.0
-2023-12-04 00:00:00+01:00,21.484647750854492,21.94219207763672,21.464754104614258,21.74325942993164,19.904497146606445,1089262,0.0,0.0
-2023-12-05 00:00:00+01:00,21.6239013671875,21.9322452545166,21.59406089782715,21.882511138916016,20.03197479248047,1150906,0.0,0.0
-2023-12-06 00:00:00+01:00,21.882511138916016,22.081443786621094,21.84272575378418,22.041658401489258,20.177663803100586,1090639,0.0,0.0
-2023-12-07 00:00:00+01:00,22.081443786621094,22.489255905151367,22.041658401489258,22.359949111938477,20.469038009643555,1596696,0.0,0.0
-2023-12-08 00:00:00+01:00,22.330108642578125,22.479307174682617,21.991924285888672,22.35000228881836,20.459930419921875,1410130,0.0,0.0
-2023-12-11 00:00:00+01:00,19.450000762939453,23.649999618530273,17.895000457763672,20.6200008392334,18.876230239868164,8998324,0.0,0.0
-2023-12-12 00:00:00+01:00,20.790000915527344,22.3700008392334,20.75,22.139999389648438,20.26768684387207,3236690,0.0,0.0
-2023-12-13 00:00:00+01:00,22.489999771118164,24.530000686645508,22.399999618530273,23.950000762939453,21.92462158203125,2215354,0.0,0.0
-2023-12-14 00:00:00+01:00,24.5,25.010000228881836,23.950000762939453,24.540000915527344,22.4647274017334,1535694,0.0,0.0
-2023-12-15 00:00:00+01:00,24.8799991607666,25.420000076293945,24.600000381469727,25.40999984741211,23.261154174804688,2385553,0.0,0.0
-2023-12-18 00:00:00+01:00,25.649999618530273,26.969999313354492,25.489999771118164,26.1299991607666,23.920265197753906,965441,0.0,0.0
-2023-12-19 00:00:00+01:00,26.290000915527344,27.399999618530273,26.200000762939453,27.209999084472656,24.908933639526367,908754,0.0,0.0
-2023-12-20 00:00:00+01:00,27.3700008392334,27.469999313354492,26.350000381469727,26.350000381469727,24.121662139892578,821654,0.0,0.0
-2023-12-21 00:00:00+01:00,26.239999771118164,26.3700008392334,25.760000228881836,26.049999237060547,23.847030639648438,744197,0.0,0.0
-2023-12-22 00:00:00+01:00,26.1200008392334,26.510000228881836,26.049999237060547,26.239999771118164,24.020963668823242,358134,0.0,0.0
-2023-12-27 00:00:00+01:00,26.639999389648438,26.729999542236328,26.299999237060547,26.729999542236328,24.469524383544922,398784,0.0,0.0
-2023-12-28 00:00:00+01:00,26.899999618530273,27.200000762939453,26.899999618530273,27.190000534057617,24.890626907348633,306879,0.0,0.0
-2023-12-29 00:00:00+01:00,27.219999313354492,27.959999084472656,27.219999313354492,27.729999542236328,25.384958267211914,508827,0.0,0.0
-2024-01-02 00:00:00+01:00,28.059999465942383,28.600000381469727,27.520000457763672,28.030000686645508,25.659589767456055,395002,0.0,0.0
-2024-01-03 00:00:00+01:00,28.110000610351562,28.15999984741211,27.170000076293945,27.43000030517578,25.110328674316406,517626,0.0,0.0
-2024-01-04 00:00:00+01:00,27.5,28.110000610351562,27.5,28.09000015258789,25.714515686035156,353356,0.0,0.0
-2024-01-05 00:00:00+01:00,28.079999923706055,28.469999313354492,28.0,28.329999923706055,25.93421745300293,426440,0.0,0.0
-2024-01-08 00:00:00+01:00,28.290000915527344,28.329999923706055,27.540000915527344,28.0,25.632125854492188,503233,0.0,0.0
-2024-01-09 00:00:00+01:00,27.190000534057617,27.549999237060547,27.079999923706055,27.299999237060547,24.991321563720703,592677,0.0,0.0
-2024-01-10 00:00:00+01:00,27.100000381469727,27.170000076293945,26.350000381469727,26.350000381469727,24.121662139892578,692877,0.0,0.0
-2024-01-11 00:00:00+01:00,26.389999389648438,26.559999465942383,25.889999389648438,26.0,23.801258087158203,631805,0.0,0.0
-2024-01-12 00:00:00+01:00,26.639999389648438,26.860000610351562,26.06999969482422,26.139999389648438,23.929418563842773,803481,0.0,0.0
-2024-01-15 00:00:00+01:00,25.059999465942383,25.329999923706055,25.0,25.299999237060547,24.690631866455078,726646,1.62,0.0
-2024-01-16 00:00:00+01:00,25.149999618530273,25.200000762939453,24.579999923706055,24.989999771118164,24.388099670410156,493029,0.0,0.0
-2024-01-17 00:00:00+01:00,24.700000762939453,24.729999542236328,23.989999771118164,24.260000228881836,23.675682067871094,646371,0.0,0.0
-2024-01-18 00:00:00+01:00,24.200000762939453,24.239999771118164,23.530000686645508,23.530000686645508,22.963266372680664,686723,0.0,0.0
-2024-01-19 00:00:00+01:00,23.670000076293945,24.25,23.670000076293945,24.049999237060547,23.470739364624023,679303,0.0,0.0
-2024-01-22 00:00:00+01:00,24.299999237060547,24.770000457763672,24.079999923706055,24.760000228881836,24.163639068603516,282294,0.0,0.0
-2024-01-23 00:00:00+01:00,25.200000762939453,25.450000762939453,24.90999984741211,25.3799991607666,24.768705368041992,397643,0.0,0.0
-2024-01-24 00:00:00+01:00,25.600000381469727,25.6299991607666,24.75,24.75,24.153881072998047,564082,0.0,0.0
-2024-01-25 00:00:00+01:00,24.84000015258789,25.760000228881836,24.799999237060547,25.600000381469727,24.983407974243164,401178,0.0,0.0
-2024-01-26 00:00:00+01:00,25.690000534057617,26.959999084472656,25.6200008392334,26.40999984741211,25.773897171020508,712857,0.0,0.0
-2024-01-29 00:00:00+01:00,26.5,26.549999237060547,25.760000228881836,25.760000228881836,25.139554977416992,375526,0.0,0.0
-2024-01-30 00:00:00+01:00,25.8799991607666,26.049999237060547,25.610000610351562,25.690000534057617,25.071239471435547,339731,0.0,0.0
-2024-01-31 00:00:00+01:00,25.850000381469727,26.1299991607666,25.440000534057617,25.440000534057617,24.827260971069336,1756316,0.0,0.0
-2024-02-01 00:00:00+01:00,25.329999923706055,25.5,24.530000686645508,24.59000015258789,23.99773406982422,398800,0.0,0.0
-2024-02-02 00:00:00+01:00,24.899999618530273,24.979999542236328,24.40999984741211,24.40999984741211,23.82206916809082,418661,0.0,0.0
-2024-02-05 00:00:00+01:00,24.440000534057617,24.56999969482422,23.6299991607666,23.649999618530273,23.080373764038086,640546,0.0,0.0
-2024-02-06 00:00:00+01:00,23.739999771118164,23.81999969482422,22.8799991607666,23.469999313354492,22.904708862304688,800098,0.0,0.0
-2024-02-07 00:00:00+01:00,23.200000762939453,23.309999465942383,22.489999771118164,22.639999389648438,22.09469985961914,896379,0.0,0.0
-2024-02-08 00:00:00+01:00,22.799999237060547,23.1299991607666,22.690000534057617,23.0,22.446029663085938,622376,0.0,0.0
-2024-02-09 00:00:00+01:00,22.5,22.739999771118164,22.209999084472656,22.209999084472656,21.67505645751953,783024,0.0,0.0
-2024-02-12 00:00:00+01:00,22.450000762939453,22.899999618530273,22.290000915527344,22.84000015258789,22.289884567260742,443790,0.0,0.0
-2024-02-13 00:00:00+01:00,22.860000610351562,23.34000015258789,22.719999313354492,23.190000534057617,22.631454467773438,530025,0.0,0.0
-2024-02-14 00:00:00+01:00,23.06999969482422,23.5,22.90999984741211,23.489999771118164,22.92422866821289,452602,0.0,0.0
-2024-02-15 00:00:00+01:00,23.6200008392334,24.170000076293945,23.579999923706055,23.940000534057617,23.36338996887207,423885,0.0,0.0
-2024-02-16 00:00:00+01:00,24.280000686645508,24.420000076293945,23.770000457763672,24.020000457763672,23.441463470458984,445071,0.0,0.0
-2024-02-19 00:00:00+01:00,24.110000610351562,24.139999389648438,23.690000534057617,23.690000534057617,23.11941146850586,334433,0.0,0.0
-2024-02-20 00:00:00+01:00,23.770000457763672,24.09000015258789,23.489999771118164,24.09000015258789,23.509777069091797,306827,0.0,0.0
-2024-02-21 00:00:00+01:00,23.850000381469727,24.040000915527344,23.5,24.040000915527344,23.460981369018555,431924,0.0,0.0
-2024-02-22 00:00:00+01:00,24.229999542236328,24.399999618530273,24.010000228881836,24.219999313354492,23.63664436340332,366743,0.0,0.0
-2024-02-23 00:00:00+01:00,24.239999771118164,24.6200008392334,23.860000610351562,23.959999084472656,23.38290786743164,266603,0.0,0.0
-2024-02-26 00:00:00+01:00,23.959999084472656,23.959999084472656,23.270000457763672,23.479999542236328,22.91446876525879,316183,0.0,0.0
-2024-02-27 00:00:00+01:00,23.540000915527344,23.889999389648438,23.329999923706055,23.75,23.17796516418457,284263,0.0,0.0
-2024-02-28 00:00:00+01:00,23.829999923706055,24.059999465942383,23.559999465942383,23.6200008392334,23.051097869873047,344714,0.0,0.0
-2024-02-29 00:00:00+01:00,23.600000381469727,23.6299991607666,23.329999923706055,23.5,22.93398666381836,601749,0.0,0.0
-2024-03-01 00:00:00+01:00,23.6299991607666,24.530000686645508,23.59000015258789,24.200000762939453,23.617128372192383,445507,0.0,0.0
-2024-03-04 00:00:00+01:00,24.1200008392334,24.229999542236328,22.989999771118164,23.3799991607666,22.816877365112305,469234,0.0,0.0
-2024-03-05 00:00:00+01:00,23.329999923706055,23.579999923706055,23.079999923706055,23.579999923706055,23.012060165405273,321295,0.0,0.0
-2024-03-06 00:00:00+01:00,23.579999923706055,24.100000381469727,23.549999237060547,23.549999237060547,22.9827823638916,516710,0.0,0.0
-2024-03-07 00:00:00+01:00,23.389999389648438,23.670000076293945,23.100000381469727,23.5,22.93398666381836,371579,0.0,0.0
-2024-03-08 00:00:00+01:00,23.520000457763672,23.770000457763672,22.969999313354492,23.739999771118164,23.1682071685791,426367,0.0,0.0
-2024-03-11 00:00:00+01:00,23.68000030517578,24.100000381469727,23.450000762939453,24.100000381469727,23.5195369720459,437456,0.0,0.0
-2024-03-12 00:00:00+01:00,24.299999237060547,25.450000762939453,24.059999465942383,25.25,24.64183807373047,794906,0.0,0.0
-2024-03-13 00:00:00+01:00,24.100000381469727,26.010000228881836,23.950000762939453,24.549999237060547,23.958696365356445,844838,0.0,0.0
-2024-03-14 00:00:00+01:00,24.440000534057617,24.729999542236328,23.649999618530273,23.81999969482422,23.246280670166016,643203,0.0,0.0
-2024-03-15 00:00:00+01:00,23.850000381469727,24.579999923706055,23.229999542236328,23.229999542236328,22.670490264892578,1376963,0.0,0.0
-2024-03-18 00:00:00+01:00,23.229999542236328,23.6299991607666,23.030000686645508,23.440000534057617,22.87543296813965,406545,0.0,0.0
-2024-03-19 00:00:00+01:00,23.149999618530273,23.75,23.040000915527344,23.670000076293945,23.09989356994629,429140,0.0,0.0
-2024-03-20 00:00:00+01:00,23.639999389648438,24.110000610351562,23.5,24.030000686645508,23.451223373413086,308989,0.0,0.0
-2024-03-21 00:00:00+01:00,24.18000030517578,24.479999542236328,24.030000686645508,24.15999984741211,23.57809066772461,415990,0.0,0.0
-2024-03-22 00:00:00+01:00,24.139999389648438,24.719999313354492,23.84000015258789,24.540000915527344,23.948938369750977,295245,0.0,0.0
-2024-03-25 00:00:00+01:00,24.549999237060547,25.100000381469727,24.520000457763672,25.059999465942383,24.45641326904297,348983,0.0,0.0
-2024-03-26 00:00:00+01:00,25.030000686645508,25.09000015258789,24.299999237060547,24.549999237060547,23.958696365356445,323207,0.0,0.0
-2024-03-27 00:00:00+01:00,24.459999084472656,24.969999313354492,24.31999969482422,24.969999313354492,24.368581771850586,203281,0.0,0.0
-2024-03-28 00:00:00+01:00,25.020000457763672,25.360000610351562,24.700000762939453,25.299999237060547,24.690631866455078,292668,0.0,0.0
-2024-04-02 00:00:00+02:00,25.350000381469727,25.799999237060547,25.299999237060547,25.600000381469727,24.983407974243164,302238,0.0,0.0
-2024-04-03 00:00:00+02:00,25.68000030517578,26.8799991607666,25.6299991607666,26.690000534057617,26.047155380249023,448326,0.0,0.0
-2024-04-04 00:00:00+02:00,28.5,29.190000534057617,27.709999084472656,27.709999084472656,27.042585372924805,1493843,0.0,0.0
-2024-04-05 00:00:00+02:00,27.350000381469727,27.959999084472656,27.010000228881836,27.350000381469727,26.69125747680664,540908,0.0,0.0
-2024-04-08 00:00:00+02:00,27.399999618530273,28.309999465942383,27.34000015258789,28.270000457763672,27.589099884033203,487088,0.0,0.0
-2024-04-09 00:00:00+02:00,28.350000381469727,28.43000030517578,28.049999237060547,28.200000762939453,27.52078628540039,253999,0.0,0.0
-2024-04-10 00:00:00+02:00,28.34000015258789,29.40999984741211,28.1200008392334,28.639999389648438,27.950185775756836,735134,0.0,0.0
-2024-04-11 00:00:00+02:00,28.93000030517578,29.260000228881836,28.649999618530273,28.959999084472656,28.262479782104492,306645,0.0,0.0
-2024-04-12 00:00:00+02:00,29.399999618530273,29.799999237060547,29.170000076293945,29.5,28.789474487304688,437731,0.0,0.0
-2024-04-15 00:00:00+02:00,29.100000381469727,29.850000381469727,29.0,29.450000762939453,28.740678787231445,388339,0.0,0.0
-2024-04-16 00:00:00+02:00,29.200000762939453,29.350000381469727,28.780000686645508,28.780000686645508,28.086816787719727,434787,0.0,0.0
-2024-04-17 00:00:00+02:00,28.780000686645508,29.989999771118164,28.760000228881836,29.799999237060547,29.082246780395508,352161,0.0,0.0
-2024-04-18 00:00:00+02:00,29.899999618530273,30.700000762939453,29.780000686645508,30.649999618530273,29.911775588989258,347317,0.0,0.0
-2024-04-19 00:00:00+02:00,30.5,31.040000915527344,28.34000015258789,30.75,30.009366989135742,697878,0.0,0.0
-2024-04-22 00:00:00+02:00,30.81999969482422,31.600000381469727,30.770000457763672,31.56999969482422,30.809616088867188,401308,0.0,0.0
-2024-04-23 00:00:00+02:00,31.579999923706055,31.65999984741211,30.049999237060547,31.0,30.253345489501953,471634,0.0,0.0
-2024-04-24 00:00:00+02:00,30.950000762939453,31.75,30.90999984741211,31.200000762939453,30.448528289794922,307607,0.0,0.0
-2024-04-25 00:00:00+02:00,31.299999237060547,31.329999923706055,29.670000076293945,29.75,29.0334529876709,478021,0.0,0.0
-2024-04-26 00:00:00+02:00,30.25,30.719999313354492,29.959999084472656,30.18000030517578,29.453096389770508,331898,0.0,0.0
-2024-04-29 00:00:00+02:00,30.209999084472656,30.899999618530273,30.209999084472656,30.850000381469727,30.106958389282227,225725,0.0,0.0
-2024-04-30 00:00:00+02:00,30.899999618530273,31.18000030517578,30.290000915527344,30.40999984741211,29.677555084228516,232054,0.0,0.0
-2024-05-02 00:00:00+02:00,30.40999984741211,30.600000381469727,29.709999084472656,30.5,29.76538848876953,390674,0.0,0.0
-2024-05-03 00:00:00+02:00,29.56999969482422,30.299999237060547,29.5,30.139999389648438,29.414058685302734,364126,0.0,0.0
-2024-05-06 00:00:00+02:00,30.290000915527344,30.989999771118164,30.139999389648438,30.420000076293945,29.687314987182617,273816,0.0,0.0
-2024-05-07 00:00:00+02:00,31.600000381469727,35.25,31.360000610351562,34.7599983215332,33.92278289794922,1075584,0.0,0.0
-2024-05-08 00:00:00+02:00,34.34000015258789,36.619998931884766,33.43000030517578,34.68000030517578,33.84471130371094,1057246,0.0,0.0
-2024-05-09 00:00:00+02:00,34.650001525878906,35.33000183105469,34.209999084472656,34.38999938964844,33.56169509887695,262471,0.0,0.0
-2024-05-10 00:00:00+02:00,34.790000915527344,34.939998626708984,33.58000183105469,33.650001525878906,32.83951950073242,223080,0.0,0.0
-2024-05-13 00:00:00+02:00,33.5,34.459999084472656,33.33000183105469,34.310001373291016,33.48362350463867,273103,0.0,0.0
-2024-05-14 00:00:00+02:00,34.220001220703125,34.52000045776367,33.560001373291016,34.52000045776367,33.68856430053711,279550,0.0,0.0
-2024-05-15 00:00:00+02:00,34.630001068115234,34.900001525878906,33.75,34.099998474121094,33.27867889404297,242453,0.0,0.0
-2024-05-16 00:00:00+02:00,34.13999938964844,34.13999938964844,33.04999923706055,33.599998474121094,32.79072189331055,235321,0.0,0.0
-2024-05-17 00:00:00+02:00,32.84000015258789,34.06999969482422,32.59000015258789,34.06999969482422,33.2494010925293,339910,0.0,0.0
-2024-05-20 00:00:00+02:00,34.400001525878906,34.400001525878906,33.70000076293945,34.04999923706055,33.229881286621094,164887,0.0,0.0
-2024-05-21 00:00:00+02:00,33.97999954223633,34.130001068115234,33.31999969482422,33.31999969482422,32.5174674987793,171162,0.0,0.0
-2024-05-22 00:00:00+02:00,33.29999923706055,34.189998626708984,32.93000030517578,34.189998626708984,33.366512298583984,345186,0.0,0.0
-2024-05-23 00:00:00+02:00,34.189998626708984,34.75,34.150001525878906,34.470001220703125,33.6397705078125,301874,0.0,0.0
-2024-05-24 00:00:00+02:00,34.29999923706055,35.040000915527344,34.060001373291016,34.52000045776367,33.68856430053711,297474,0.0,0.0
-2024-05-27 00:00:00+02:00,34.52000045776367,34.900001525878906,34.25,34.5,33.669044494628906,145496,0.0,0.0
-2024-05-28 00:00:00+02:00,34.459999084472656,34.540000915527344,33.81999969482422,34.400001525878906,33.57145690917969,239174,0.0,0.0
-2024-05-29 00:00:00+02:00,34.400001525878906,34.439998626708984,33.900001525878906,34.220001220703125,33.395790100097656,245711,0.0,0.0
-2024-05-30 00:00:00+02:00,34.61000061035156,34.61000061035156,33.75,34.310001373291016,33.48362350463867,270049,0.0,0.0
-2024-05-31 00:00:00+02:00,34.25,34.650001525878906,33.45000076293945,33.630001068115234,32.81999969482422,348292,0.0,0.0
-2024-06-03 00:00:00+02:00,33.20000076293945,33.290000915527344,31.81999969482422,31.829999923706055,31.829999923706055,271111,0.81,0.0
-2024-06-04 00:00:00+02:00,31.780000686645508,31.860000610351562,31.260000228881836,31.649999618530273,31.649999618530273,345119,0.0,0.0
-2024-06-05 00:00:00+02:00,31.770000457763672,31.940000534057617,31.270000457763672,31.270000457763672,31.270000457763672,371491,0.0,0.0
-2024-06-06 00:00:00+02:00,31.489999771118164,31.510000228881836,30.600000381469727,30.920000076293945,30.920000076293945,325501,0.0,0.0
-2024-06-07 00:00:00+02:00,30.90999984741211,31.209999084472656,30.600000381469727,30.969999313354492,30.969999313354492,161556,0.0,0.0
-2024-06-10 00:00:00+02:00,30.850000381469727,31.739999771118164,30.729999542236328,31.739999771118164,31.739999771118164,265293,0.0,0.0
-2024-06-11 00:00:00+02:00,31.639999389648438,32.529998779296875,31.639999389648438,32.349998474121094,32.349998474121094,424271,0.0,0.0
-2024-06-12 00:00:00+02:00,32.40999984741211,33.04999923706055,32.40999984741211,32.81999969482422,32.81999969482422,244552,0.0,0.0
-2024-06-13 00:00:00+02:00,32.54999923706055,32.54999923706055,31.709999084472656,31.780000686645508,31.780000686645508,302052,0.0,0.0
-2024-06-14 00:00:00+02:00,31.600000381469727,31.6299991607666,30.34000015258789,30.790000915527344,30.790000915527344,342157,0.0,0.0
-2024-06-17 00:00:00+02:00,30.920000076293945,31.479999542236328,30.889999389648438,31.34000015258789,31.34000015258789,273690,0.0,0.0
-2024-06-18 00:00:00+02:00,31.579999923706055,31.690000534057617,31.06999969482422,31.229999542236328,31.229999542236328,218534,0.0,0.0
-2024-06-19 00:00:00+02:00,31.260000228881836,31.81999969482422,31.200000762939453,31.350000381469727,31.350000381469727,175454,0.0,0.0
-2024-06-20 00:00:00+02:00,31.31999969482422,32.11000061035156,31.31999969482422,31.709999084472656,31.709999084472656,296995,0.0,0.0
-2024-06-21 00:00:00+02:00,31.860000610351562,32.04999923706055,31.559999465942383,31.719999313354492,31.719999313354492,2005373,0.0,0.0
-2024-06-24 00:00:00+02:00,31.700000762939453,33.630001068115234,31.700000762939453,33.06999969482422,33.06999969482422,347579,0.0,0.0
-2024-06-25 00:00:00+02:00,33.0,33.34000015258789,31.90999984741211,31.90999984741211,31.90999984741211,241894,0.0,0.0
-2024-06-26 00:00:00+02:00,31.899999618530273,32.349998474121094,31.649999618530273,31.8700008392334,31.8700008392334,267568,0.0,0.0
-2024-06-27 00:00:00+02:00,32.29999923706055,33.0,32.20000076293945,32.900001525878906,32.900001525878906,182682,0.0,0.0
-2024-06-28 00:00:00+02:00,32.95000076293945,33.060001373291016,32.31999969482422,32.869998931884766,32.869998931884766,277611,0.0,0.0
-2024-07-01 00:00:00+02:00,33.29999923706055,33.4900016784668,32.72999954223633,33.4900016784668,33.4900016784668,206747,0.0,0.0
-2024-07-02 00:00:00+02:00,33.5,34.0,33.13999938964844,34.0,34.0,231379,0.0,0.0
-2024-07-03 00:00:00+02:00,33.95000076293945,34.13999938964844,33.47999954223633,34.13999938964844,34.13999938964844,262502,0.0,0.0
-2024-07-04 00:00:00+02:00,34.0,34.20000076293945,33.540000915527344,34.060001373291016,34.060001373291016,130465,0.0,0.0
-2024-07-05 00:00:00+02:00,34.060001373291016,34.279998779296875,33.5099983215332,33.5099983215332,33.5099983215332,212429,0.0,0.0
-2024-07-08 00:00:00+02:00,33.400001525878906,33.95000076293945,32.81999969482422,33.95000076293945,33.95000076293945,194477,0.0,0.0
-2024-07-09 00:00:00+02:00,33.790000915527344,34.060001373291016,32.290000915527344,32.5099983215332,32.5099983215332,364262,0.0,0.0
-2024-07-10 00:00:00+02:00,32.29999923706055,32.38999938964844,31.75,32.040000915527344,32.040000915527344,207620,0.0,0.0
-2024-07-11 00:00:00+02:00,32.11000061035156,32.599998474121094,32.06999969482422,32.349998474121094,32.349998474121094,159663,0.0,0.0
-2024-07-12 00:00:00+02:00,32.29999923706055,32.93000030517578,32.29999923706055,32.59000015258789,32.59000015258789,116583,0.0,0.0
-2024-07-15 00:00:00+02:00,32.459999084472656,32.689998626708984,31.899999618530273,32.279998779296875,32.279998779296875,123588,0.0,0.0
-2024-07-16 00:00:00+02:00,32.20000076293945,32.65999984741211,31.940000534057617,32.45000076293945,32.45000076293945,88377,0.0,0.0
-2024-07-17 00:00:00+02:00,32.72999954223633,33.939998626708984,32.040000915527344,33.939998626708984,33.939998626708984,222062,0.0,0.0
-2024-07-18 00:00:00+02:00,34.0,34.93000030517578,33.79999923706055,34.63999938964844,34.63999938964844,400707,0.0,0.0
-2024-07-19 00:00:00+02:00,34.290000915527344,34.36000061035156,33.529998779296875,34.0099983215332,34.0099983215332,188494,0.0,0.0
-2024-07-22 00:00:00+02:00,34.349998474121094,34.5,33.66999816894531,34.13999938964844,34.13999938964844,144759,0.0,0.0
-2024-07-23 00:00:00+02:00,33.95000076293945,34.02000045776367,33.5,33.83000183105469,33.83000183105469,99602,0.0,0.0
-2024-07-24 00:00:00+02:00,33.54999923706055,33.97999954223633,33.459999084472656,33.5099983215332,33.5099983215332,118200,0.0,0.0
-2024-07-25 00:00:00+02:00,33.400001525878906,33.75,32.43000030517578,33.41999816894531,33.41999816894531,143724,0.0,0.0
-2024-07-26 00:00:00+02:00,33.09000015258789,33.439998626708984,32.650001525878906,33.2599983215332,33.2599983215332,150065,0.0,0.0
-2024-07-29 00:00:00+02:00,33.25,33.560001373291016,33.06999969482422,33.18000030517578,33.18000030517578,101941,0.0,0.0
-2024-07-30 00:00:00+02:00,33.0,33.619998931884766,32.86000061035156,33.18000030517578,33.18000030517578,142743,0.0,0.0
-2024-07-31 00:00:00+02:00,33.849998474121094,34.0,32.20000076293945,32.52000045776367,32.52000045776367,561976,0.0,0.0
-2024-08-01 00:00:00+02:00,32.13999938964844,32.599998474121094,31.190000534057617,31.469999313354492,31.469999313354492,275048,0.0,0.0
-2024-08-02 00:00:00+02:00,31.229999542236328,31.760000228881836,30.860000610351562,30.860000610351562,30.860000610351562,265760,0.0,0.0
-2024-08-05 00:00:00+02:00,30.100000381469727,30.479999542236328,29.469999313354492,29.940000534057617,29.940000534057617,473460,0.0,0.0
-2024-08-06 00:00:00+02:00,30.5,31.010000228881836,30.040000915527344,30.190000534057617,30.190000534057617,264982,0.0,0.0
-2024-08-07 00:00:00+02:00,30.510000228881836,31.229999542236328,30.3799991607666,30.889999389648438,30.889999389648438,178311,0.0,0.0
-2024-08-08 00:00:00+02:00,30.799999237060547,30.959999084472656,30.40999984741211,30.799999237060547,30.799999237060547,172146,0.0,0.0
-2024-08-09 00:00:00+02:00,30.90999984741211,31.520000457763672,30.90999984741211,31.15999984741211,31.15999984741211,179785,0.0,0.0
-2024-08-12 00:00:00+02:00,31.299999237060547,31.690000534057617,30.59000015258789,30.59000015258789,30.59000015258789,132932,0.0,0.0
-2024-08-13 00:00:00+02:00,30.690000534057617,31.040000915527344,30.360000610351562,30.600000381469727,30.600000381469727,103593,0.0,0.0
-2024-08-14 00:00:00+02:00,30.649999618530273,30.68000030517578,30.059999465942383,30.479999542236328,30.479999542236328,209068,0.0,0.0
-2024-08-15 00:00:00+02:00,30.549999237060547,31.09000015258789,30.450000762939453,30.920000076293945,30.920000076293945,125365,0.0,0.0
-2024-08-16 00:00:00+02:00,30.940000534057617,31.1200008392334,30.729999542236328,30.8799991607666,30.8799991607666,141253,0.0,0.0
-2024-08-19 00:00:00+02:00,31.030000686645508,31.299999237060547,30.670000076293945,31.030000686645508,31.030000686645508,180272,0.0,0.0
-2024-08-20 00:00:00+02:00,31.170000076293945,31.170000076293945,30.469999313354492,30.530000686645508,30.530000686645508,152575,0.0,0.0
-2024-08-21 00:00:00+02:00,30.530000686645508,31.020000457763672,30.530000686645508,30.969999313354492,30.969999313354492,128994,0.0,0.0
-2024-08-22 00:00:00+02:00,30.979999542236328,31.3799991607666,30.780000686645508,31.229999542236328,31.229999542236328,87006,0.0,0.0
-2024-08-23 00:00:00+02:00,31.18000030517578,31.540000915527344,31.18000030517578,31.270000457763672,31.270000457763672,84423,0.0,0.0
-2024-08-26 00:00:00+02:00,31.149999618530273,31.459999084472656,30.829999923706055,31.030000686645508,31.030000686645508,72965,0.0,0.0
-2024-08-27 00:00:00+02:00,30.90999984741211,31.360000610351562,30.809999465942383,31.139999389648438,31.139999389648438,102326,0.0,0.0
-2024-08-28 00:00:00+02:00,31.139999389648438,31.190000534057617,30.540000915527344,30.93000030517578,30.93000030517578,133750,0.0,0.0
-2024-08-29 00:00:00+02:00,30.81999969482422,31.25,30.81999969482422,31.079999923706055,31.079999923706055,110738,0.0,0.0
-2024-08-30 00:00:00+02:00,31.190000534057617,31.829999923706055,31.079999923706055,31.700000762939453,31.700000762939453,222082,0.0,0.0
-2024-09-02 00:00:00+02:00,31.739999771118164,32.36000061035156,31.469999313354492,32.18000030517578,32.18000030517578,137822,0.0,0.0
-2024-09-03 00:00:00+02:00,32.04999923706055,32.2400016784668,31.469999313354492,31.520000457763672,31.520000457763672,115050,0.0,0.0
-2024-09-04 00:00:00+02:00,31.100000381469727,31.739999771118164,31.030000686645508,31.559999465942383,31.559999465942383,110471,0.0,0.0
-2024-09-05 00:00:00+02:00,31.34000015258789,32.310001373291016,31.34000015258789,31.670000076293945,31.670000076293945,230413,0.0,0.0
-2024-09-06 00:00:00+02:00,31.489999771118164,31.8700008392334,31.18000030517578,31.209999084472656,31.209999084472656,163894,0.0,0.0
-2024-09-09 00:00:00+02:00,31.5,31.729999542236328,31.280000686645508,31.649999618530273,31.649999618530273,150347,0.0,0.0
-2024-09-10 00:00:00+02:00,31.59000015258789,32.040000915527344,30.8700008392334,30.8700008392334,30.8700008392334,177060,0.0,0.0
-2024-09-11 00:00:00+02:00,30.93000030517578,32.06999969482422,30.93000030517578,31.049999237060547,31.049999237060547,253253,0.0,0.0
-2024-09-12 00:00:00+02:00,31.049999237060547,31.3799991607666,30.809999465942383,30.809999465942383,30.809999465942383,198487,0.0,0.0
-2024-09-13 00:00:00+02:00,30.809999465942383,31.6299991607666,30.809999465942383,31.3700008392334,31.3700008392334,160154,0.0,0.0
-2024-09-16 00:00:00+02:00,31.270000457763672,31.469999313354492,31.100000381469727,31.450000762939453,31.450000762939453,112962,0.0,0.0
-2024-09-17 00:00:00+02:00,31.719999313354492,32.75,31.719999313354492,32.75,32.75,181018,0.0,0.0
-2024-09-18 00:00:00+02:00,32.81999969482422,33.84000015258789,32.38999938964844,33.72999954223633,33.72999954223633,208825,0.0,0.0
-2024-09-19 00:00:00+02:00,34.119998931884766,34.689998626708984,33.84000015258789,34.58000183105469,34.58000183105469,292983,0.0,0.0
-2024-09-20 00:00:00+02:00,34.599998474121094,34.599998474121094,33.93000030517578,34.279998779296875,34.279998779296875,547234,0.0,0.0
-2024-09-23 00:00:00+02:00,34.22999954223633,34.68000030517578,34.11000061035156,34.369998931884766,34.369998931884766,148293,0.0,0.0
-2024-09-24 00:00:00+02:00,34.709999084472656,35.13999938964844,34.279998779296875,34.279998779296875,34.279998779296875,214647,0.0,0.0
-2024-09-25 00:00:00+02:00,34.279998779296875,34.83000183105469,33.58000183105469,33.58000183105469,33.58000183105469,194543,0.0,0.0
-2024-09-26 00:00:00+02:00,34.0,34.119998931884766,33.650001525878906,34.119998931884766,34.119998931884766,198143,0.0,0.0
-2024-09-27 00:00:00+02:00,34.2400016784668,35.02000045776367,34.130001068115234,34.63999938964844,34.63999938964844,196448,0.0,0.0
-2024-09-30 00:00:00+02:00,34.150001525878906,35.45000076293945,34.0,35.20000076293945,35.20000076293945,261067,0.0,0.0
-2024-10-01 00:00:00+02:00,35.20000076293945,35.88999938964844,35.18000030517578,35.61000061035156,35.61000061035156,218502,0.0,0.0
-2024-10-02 00:00:00+02:00,35.61000061035156,36.810001373291016,35.45000076293945,36.310001373291016,36.310001373291016,185328,0.0,0.0
-2024-10-03 00:00:00+02:00,36.22999954223633,36.619998931884766,36.209999084472656,36.310001373291016,36.310001373291016,246827,0.0,0.0
-2024-10-04 00:00:00+02:00,36.209999084472656,37.560001373291016,36.13999938964844,37.5099983215332,37.5099983215332,298766,0.0,0.0
-2024-10-07 00:00:00+02:00,37.5,37.5099983215332,36.47999954223633,36.91999816894531,36.91999816894531,161195,0.0,0.0
-2024-10-08 00:00:00+02:00,36.7599983215332,36.7599983215332,35.66999816894531,35.93000030517578,35.93000030517578,144993,0.0,0.0
-2024-10-09 00:00:00+02:00,35.86000061035156,36.52000045776367,35.400001525878906,36.369998931884766,36.369998931884766,123249,0.0,0.0
-2024-10-10 00:00:00+02:00,36.619998931884766,37.0,36.439998626708984,36.959999084472656,36.959999084472656,127939,0.0,0.0
-2024-10-11 00:00:00+02:00,36.650001525878906,37.349998474121094,36.560001373291016,37.150001525878906,37.150001525878906,110000,0.0,0.0
-2024-10-14 00:00:00+02:00,37.349998474121094,38.0,37.0,38.0,38.0,215775,0.0,0.0
-2024-10-15 00:00:00+02:00,38.0,38.72999954223633,37.7400016784668,38.43000030517578,38.43000030517578,289899,0.0,0.0
-2024-10-16 00:00:00+02:00,38.5,39.31999969482422,38.310001373291016,39.31999969482422,39.31999969482422,351315,0.0,0.0
-2024-10-17 00:00:00+02:00,39.27000045776367,39.310001373291016,37.95000076293945,38.439998626708984,38.439998626708984,336837,0.0,0.0
-2024-10-18 00:00:00+02:00,38.209999084472656,39.369998931884766,37.939998626708984,39.349998474121094,39.349998474121094,284589,0.0,0.0
-2024-10-21 00:00:00+02:00,39.11000061035156,39.13999938964844,38.43000030517578,39.099998474121094,39.099998474121094,176237,0.0,0.0
-2024-10-22 00:00:00+02:00,39.119998931884766,39.369998931884766,38.63999938964844,38.900001525878906,38.900001525878906,219984,0.0,0.0
-2024-10-23 00:00:00+02:00,38.70000076293945,38.86000061035156,37.790000915527344,38.79999923706055,38.79999923706055,212351,0.0,0.0
-2024-10-24 00:00:00+02:00,38.70000076293945,38.939998626708984,38.36000061035156,38.68000030517578,38.68000030517578,118090,0.0,0.0
-2024-10-25 00:00:00+02:00,38.630001068115234,38.849998474121094,38.04999923706055,38.560001373291016,38.560001373291016,164039,0.0,0.0
-2024-10-28 00:00:00+01:00,38.560001373291016,38.81999969482422,37.84000015258789,38.25,38.25,156263,0.0,0.0
-2024-10-29 00:00:00+01:00,38.25,38.88999938964844,38.029998779296875,38.31999969482422,38.31999969482422,213012,0.0,0.0
-2024-10-30 00:00:00+01:00,37.75,38.04999923706055,37.029998779296875,37.029998779296875,37.029998779296875,397551,0.0,0.0
-2024-10-31 00:00:00+01:00,37.0,37.310001373291016,36.34000015258789,37.060001373291016,37.060001373291016,281687,0.0,0.0
-2024-11-01 00:00:00+01:00,36.84000015258789,37.43000030517578,36.84000015258789,37.2400016784668,37.2400016784668,81048,0.0,0.0
-2024-11-04 00:00:00+01:00,37.060001373291016,37.79999923706055,37.040000915527344,37.560001373291016,37.560001373291016,82632,0.0,0.0
-2024-11-05 00:00:00+01:00,37.560001373291016,37.95000076293945,37.369998931884766,37.95000076293945,37.95000076293945,199518,0.0,0.0
-2024-11-06 00:00:00+01:00,38.20000076293945,38.900001525878906,34.91999816894531,34.91999816894531,34.91999816894531,469899,0.0,0.0
-2024-11-07 00:00:00+01:00,34.08000183105469,34.900001525878906,33.72999954223633,33.72999954223633,33.72999954223633,380050,0.0,0.0
-2024-11-08 00:00:00+01:00,33.61000061035156,33.91999816894531,33.29999923706055,33.54999923706055,33.54999923706055,389420,0.0,0.0
-2024-11-11 00:00:00+01:00,33.810001373291016,34.31999969482422,33.130001068115234,33.130001068115234,33.130001068115234,233145,0.0,0.0
-2024-11-12 00:00:00+01:00,32.79999923706055,33.029998779296875,31.670000076293945,31.709999084472656,31.709999084472656,284709,0.0,0.0
-2024-11-13 00:00:00+01:00,31.780000686645508,32.11000061035156,31.360000610351562,31.510000228881836,31.510000228881836,208626,0.0,0.0
-2024-11-14 00:00:00+01:00,31.600000381469727,31.8799991607666,31.34000015258789,31.40999984741211,31.40999984741211,193374,0.0,0.0
-2024-11-15 00:00:00+01:00,31.309999465942383,32.5,31.309999465942383,32.22999954223633,32.22999954223633,130866,0.0,0.0
-2024-11-18 00:00:00+01:00,32.20000076293945,32.72999954223633,32.08000183105469,32.130001068115234,32.130001068115234,94641,0.0,0.0
-2024-11-19 00:00:00+01:00,32.099998474121094,32.650001525878906,31.06999969482422,31.920000076293945,31.920000076293945,159142,0.0,0.0
--- a/tests/test_cache.py
+++ b/tests/test_cache.py
@@ -0,0 +1,93 @@
+"""
+Tests for cache
+
+To run all tests in suite from commandline:
+   python -m unittest tests.cache
+
+Specific test class:
+   python -m unittest tests.cache.TestCache
+
+"""
+from unittest import TestSuite
+
+from tests.context import yfinance as yf
+
+import unittest
+import tempfile
+import os
+
+
+class TestCache(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.tempCacheDir = tempfile.TemporaryDirectory()
+        yf.set_tz_cache_location(cls.tempCacheDir.name)
+
+    @classmethod
+    def tearDownClass(cls):
+        yf.cache._TzDBManager.close_db()
+        cls.tempCacheDir.cleanup()
+
+    def test_storeTzNoRaise(self):
+        # storing TZ to cache should never raise exception
+        tkr = 'AMZN'
+        tz1 = "America/New_York"
+        tz2 = "London/Europe"
+        cache = yf.cache.get_tz_cache()
+        cache.store(tkr, tz1)
+        cache.store(tkr, tz2)
+
+    def test_setTzCacheLocation(self):
+        self.assertEqual(yf.cache._TzDBManager.get_location(), self.tempCacheDir.name)
+
+        tkr = 'AMZN'
+        tz1 = "America/New_York"
+        cache = yf.cache.get_tz_cache()
+        cache.store(tkr, tz1)
+
+        self.assertTrue(os.path.exists(os.path.join(self.tempCacheDir.name, "tkr-tz.db")))
+
+
+class TestCacheNoPermission(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        if os.name == "nt":  # Windows
+            cls.cache_path = "C:\\Windows\\System32\\yf-cache"
+        else:  # Unix/Linux/MacOS
+            # Use a writable directory
+            cls.cache_path = "/yf-cache"
+        yf.set_tz_cache_location(cls.cache_path)
+
+    def test_tzCacheRootStore(self):
+        # Test that if cache path in read-only filesystem, no exception.
+        tkr = 'AMZN'
+        tz1 = "America/New_York"
+
+        # During attempt to store, will discover cannot write
+        yf.cache.get_tz_cache().store(tkr, tz1)
+
+        # Handling the store failure replaces cache with a dummy
+        cache = yf.cache.get_tz_cache()
+        self.assertTrue(cache.dummy)
+        cache.store(tkr, tz1)
+
+    def test_tzCacheRootLookup(self):
+        # Test that if cache path in read-only filesystem, no exception.
+        tkr = 'AMZN'
+        # During attempt to lookup, will discover cannot write
+        yf.cache.get_tz_cache().lookup(tkr)
+
+        # Handling the lookup failure replaces cache with a dummy
+        cache = yf.cache.get_tz_cache()
+        self.assertTrue(cache.dummy)
+        cache.lookup(tkr)
+
+def suite():
+    ts: TestSuite = unittest.TestSuite()
+    ts.addTest(TestCache('Test cache'))
+    ts.addTest(TestCacheNoPermission('Test cache no permission'))
+    return ts
+
+
+if __name__ == '__main__':
+    unittest.main()
--- a/tests/test_price_repair.py
+++ b/tests/test_price_repair.py
@@ -361,15 +361,15 @@ class TestPriceRepair(unittest.TestCase):
        hist = dat._lazy_load_price_history()
        tz_exchange = dat.fast_info["timezone"]

-        df_bad = _pd.DataFrame(data={"Open":      [0,      102.04, 102.04],
-                                     "High":      [0,      102.1,  102.11],
-                                     "Low":       [0,      102.04, 102.04],
-                                     "Close":     [103.03, 102.05, 102.08],
-                                     "Adj Close": [102.03, 102.05, 102.08],
-                                     "Volume": [560, 137, 117]},
-                               index=_pd.to_datetime([_dt.datetime(2022, 11, 1),
-                                                      _dt.datetime(2022, 10, 31),
-                                                      _dt.datetime(2022, 10, 30)]))
+        df_bad = _pd.DataFrame(data={"Open":      [0,      114.37, 114.20],
+                                     "High":      [0,      114.40, 114.40],
+                                     "Low":       [0,      114.36, 114.20],
+                                     "Close":     [114.39, 114.38, 114.45],
+                                     "Adj Close": [114.39, 114.38, 114.45],
+                                     "Volume":    [9,      15666,  1094]},
+                               index=_pd.to_datetime([_dt.datetime(2025, 3, 17),
+                                                      _dt.datetime(2025, 3, 14),
+                                                      _dt.datetime(2025, 3, 13)]))
        df_bad = df_bad.sort_index()
        df_bad.index.name = "Date"
        df_bad.index = df_bad.index.tz_localize(tz_exchange)
@@ -377,11 +377,11 @@ class TestPriceRepair(unittest.TestCase):
        repaired_df = hist._fix_zeroes(df_bad, "1d", tz_exchange, prepost=False)

        correct_df = df_bad.copy()
-        correct_df.loc["2022-11-01", "Open"] = 102.080002
-        correct_df.loc["2022-11-01", "Low"] = 102.032501
-        correct_df.loc["2022-11-01", "High"] = 102.080002
+        correct_df.loc["2025-03-17", "Open"] = 114.62
+        correct_df.loc["2025-03-17", "High"] = 114.62
+        correct_df.loc["2025-03-17", "Low"] = 114.41
        for c in ["Open", "Low", "High", "Close"]:
-            self.assertTrue(_np.isclose(repaired_df[c], correct_df[c], rtol=1e-8).all())
+            self.assertTrue(_np.isclose(repaired_df[c], correct_df[c], rtol=1e-7).all())

        self.assertTrue("Repaired?" in repaired_df.columns)
        self.assertFalse(repaired_df["Repaired?"].isna().any())
@@ -390,19 +390,21 @@ class TestPriceRepair(unittest.TestCase):
        # Test that 'Adj Close' is reconstructed correctly,
        # particularly when a dividend occurred within 1 day.

+        self.skipTest("Currently failing because Yahoo returning slightly different data for interval 1d vs 1h on day Aug 6 2024")
+
        tkr = "INTC"
-        df = _pd.DataFrame(data={"Open":      [28.95, 28.65, 29.55, 29.62, 29.25],
-                                 "High":      [29.12, 29.27, 29.65, 31.17, 30.30],
-                                 "Low":       [28.21, 28.43, 28.61, 29.53, 28.80],
-                                 "Close":     [28.24, 29.05, 28.69, 30.32, 30.19],
-                                 "Adj Close": [28.12, 28.93, 28.57, 29.83, 29.70],
-                                 "Volume":    [36e6, 51e6, 49e6, 58e6, 62e6],
-                                 "Dividends": [0, 0, 0.365, 0, 0]},
-                           index=_pd.to_datetime([_dt.datetime(2023, 2, 8),
-                                                  _dt.datetime(2023, 2, 7),
-                                                  _dt.datetime(2023, 2, 6),
-                                                  _dt.datetime(2023, 2, 3),
-                                                  _dt.datetime(2023, 2, 2)]))
+        df = _pd.DataFrame(data={"Open":      [2.020000e+01, 2.032000e+01, 1.992000e+01, 1.910000e+01, 2.008000e+01],
+                                 "High":      [2.039000e+01, 2.063000e+01, 2.025000e+01, 2.055000e+01, 2.015000e+01],
+                                 "Low":       [1.929000e+01, 1.975000e+01, 1.895000e+01, 1.884000e+01, 1.950000e+01],
+                                 "Close":     [2.011000e+01, 1.983000e+01, 1.899000e+01, 2.049000e+01, 1.971000e+01],
+                                 "Adj Close": [1.998323e+01, 1.970500e+01, 1.899000e+01, 2.049000e+01, 1.971000e+01],
+                                 "Volume":    [1.473857e+08, 1.066704e+08, 9.797230e+07, 9.683680e+07, 7.639450e+07],
+                                 "Dividends": [0.000000e+00, 0.000000e+00, 1.250000e-01, 0.000000e+00, 0.000000e+00]},
+                           index=_pd.to_datetime([_dt.datetime(2024, 8, 9),
+                                                  _dt.datetime(2024, 8, 8),
+                                                  _dt.datetime(2024, 8, 7),
+                                                  _dt.datetime(2024, 8, 6),
+                                                  _dt.datetime(2024, 8, 5)]))
        df = df.sort_index()
        df.index.name = "Date"
        dat = yf.Ticker(tkr, session=self.session)
@@ -462,7 +464,7 @@ class TestPriceRepair(unittest.TestCase):
        # Stocks that split in 2022 but no problems in Yahoo data,
        # so repair should change nothing
        good_tkrs = ['AMZN', 'DXCM', 'FTNT', 'GOOG', 'GME', 'PANW', 'SHOP', 'TSLA']
-        good_tkrs += ['AEI', 'GHI', 'IRON', 'LXU', 'NUZE', 'RSLS', 'TISI']
+        good_tkrs += ['AEI', 'GHI', 'IRON', 'LXU', 'RSLS', 'TISI']
        good_tkrs += ['BOL.ST', 'TUI1.DE']
        intervals = ['1d', '1wk', '1mo', '3mo']
        for tkr in good_tkrs:
@@ -488,7 +490,7 @@ class TestPriceRepair(unittest.TestCase):
                        print(df_dbg[f_diff | _np.roll(f_diff, 1) | _np.roll(f_diff, -1)])
                        raise

-        bad_tkrs = ['4063.T', 'ALPHA.PA', 'AV.L', 'CNE.L', 'MOB.ST', 'SPM.MI']
+        bad_tkrs = ['4063.T', 'AV.L', 'CNE.L', 'MOB.ST', 'SPM.MI']
        bad_tkrs.append('LA.V')  # special case - stock split error is 3 years ago! why not fixed?
        for tkr in bad_tkrs:
            dat = yf.Ticker(tkr, session=self.session)
@@ -580,7 +582,6 @@ class TestPriceRepair(unittest.TestCase):
        # Div 100x
        bad_tkrs += ['ABDP.L']
        bad_tkrs += ['ELCO.L']
-        bad_tkrs += ['KWS.L']
        bad_tkrs += ['PSH.L']

        # Div 100x and adjust too big
@@ -598,7 +599,6 @@ class TestPriceRepair(unittest.TestCase):
        # Phantom divs
        bad_tkrs += ['KAP.IL']  # 1x 1d phantom div, and false positives 0.01x in 1wk
        bad_tkrs += ['SAND']
-        bad_tkrs += ['SOLB.BR']  # 1x phantom div, but some false-positive 100x. and had to improve phantom detection
        bad_tkrs += ['TEM.L']
        bad_tkrs += ['TEP.PA']

--- a/tests/test_prices.py
+++ b/tests/test_prices.py
@@ -46,7 +46,7 @@ class TestPriceHistory(unittest.TestCase):

    def test_download_multi_small_interval(self):
        use_tkrs = ["AAPL", "0Q3.DE", "ATVI"]
-        df = yf.download(use_tkrs, period="1d", interval="5m")
+        df = yf.download(use_tkrs, period="1d", interval="5m", auto_adjust=True)
        self.assertEqual(df.index.tz, _dt.timezone.utc)

    def test_download_with_invalid_ticker(self):
@@ -56,10 +56,11 @@ class TestPriceHistory(unittest.TestCase):
        invalid_tkrs = ["AAPL", "ATVI"] #AAPL exists and ATVI does not exist
        valid_tkrs = ["AAPL", "INTC"] #AAPL and INTC both exist

-        data_invalid_sym = yf.download(invalid_tkrs, start='2023-11-16', end='2023-11-17')
-        data_valid_sym = yf.download(valid_tkrs, start='2023-11-16', end='2023-11-17')
-
-        self.assertEqual(data_invalid_sym['Close']['AAPL']['2023-11-16'],data_valid_sym['Close']['AAPL']['2023-11-16'])
+        start_d = _dt.date.today() - _dt.timedelta(days=30)
+        data_invalid_sym = yf.download(invalid_tkrs, start=start_d, auto_adjust=True)
+        data_valid_sym = yf.download(valid_tkrs, start=start_d, auto_adjust=True)
+        dt_compare = data_valid_sym.index[0]
+        self.assertEqual(data_invalid_sym['Close']['AAPL'][dt_compare],data_valid_sym['Close']['AAPL'][dt_compare])

    def test_duplicatingHourly(self):
        tkrs = ["IMP.JO", "BHG.JO", "SSW.JO", "BP.L", "INTC"]
@@ -185,7 +186,7 @@ class TestPriceHistory(unittest.TestCase):

            df_intraday_divs = df_intraday["Dividends"][df_intraday["Dividends"] != 0]
            df_intraday_divs.index = df_intraday_divs.index.floor('D')
-            self.assertTrue(df_daily_divs.equals(df_intraday_divs))
+            self.assertTrue(df_daily_divs.index.equals(df_intraday_divs.index))

            test_run = True

@@ -212,7 +213,7 @@ class TestPriceHistory(unittest.TestCase):

            df_intraday_divs = df_intraday["Dividends"][df_intraday["Dividends"] != 0]
            df_intraday_divs.index = df_intraday_divs.index.floor('D')
-            self.assertTrue(df_daily_divs.equals(df_intraday_divs))
+            self.assertTrue(df_daily_divs.index.equals(df_intraday_divs.index))

            test_run = True

@@ -401,7 +402,7 @@ class TestPriceHistory(unittest.TestCase):

        # Setup
        tkr = "AMZN"
-        special_day = _dt.date(2023, 11, 24)
+        special_day = _dt.date(2024, 11, 29)
        time_early_close = _dt.time(13)
        dat = yf.Ticker(tkr, session=self.session)

@@ -416,6 +417,8 @@ class TestPriceHistory(unittest.TestCase):
        start_d = _dt.date(special_day.year, 1, 1)
        end_d = _dt.date(special_day.year+1, 1, 1)
        df = dat.history(start=start_d, end=end_d, interval="1h", prepost=False, keepna=True)
+        if df.empty:
+            self.skipTest("TEST NEEDS UPDATE: 'special_day' needs to be LATEST Thanksgiving date")
        last_dts = _pd.Series(df.index).groupby(df.index.date).last()
        dfd = dat.history(start=start_d, end=end_d, interval='1d', prepost=False, keepna=True)
        self.assertTrue(_np.equal(dfd.index.date, _pd.to_datetime(last_dts.index).date).all())
@@ -423,12 +426,12 @@ class TestPriceHistory(unittest.TestCase):
    def test_prune_post_intraday_asx(self):
        # Setup
        tkr = "BHP.AX"
-        # No early closes in 2023
+        # No early closes in 2024
        dat = yf.Ticker(tkr, session=self.session)

        # Test no other afternoons (or mornings) were pruned
-        start_d = _dt.date(2023, 1, 1)
-        end_d = _dt.date(2023+1, 1, 1)
+        start_d = _dt.date(2024, 1, 1)
+        end_d = _dt.date(2024+1, 1, 1)
        df = dat.history(start=start_d, end=end_d, interval="1h", prepost=False, keepna=True)
        last_dts = _pd.Series(df.index).groupby(df.index.date).last()
        dfd = dat.history(start=start_d, end=end_d, interval='1d', prepost=False, keepna=True)
--- a/tests/test_screener.py
+++ b/tests/test_screener.py
@@ -1,133 +1,38 @@
 import unittest
 from unittest.mock import patch, MagicMock
-from yfinance.const import PREDEFINED_SCREENER_BODY_MAP
-from yfinance.screener.screener import Screener
-from yfinance.screener.screener_query import EquityQuery
+from yfinance.screener.screener import screen
+from yfinance.screener.query import EquityQuery


 class TestScreener(unittest.TestCase):

    @classmethod
    def setUpClass(self):
-        self.screener = Screener()
        self.query = EquityQuery('gt',['eodprice',3])
-
-    def test_set_default_body(self):
-        self.screener.set_default_body(self.query)
-
-        self.assertEqual(self.screener.body['offset'], 0)
-        self.assertEqual(self.screener.body['size'], 100)
-        self.assertEqual(self.screener.body['sortField'], 'ticker')
-        self.assertEqual(self.screener.body['sortType'], 'desc')
-        self.assertEqual(self.screener.body['quoteType'], 'equity')
-        self.assertEqual(self.screener.body['query'], self.query.to_dict())
-        self.assertEqual(self.screener.body['userId'], '')
-        self.assertEqual(self.screener.body['userIdType'], 'guid')
-
-    def test_set_predefined_body(self):
-        k = 'most_actives'
-        self.screener.set_predefined_body(k)
-        self.assertEqual(self.screener.body, PREDEFINED_SCREENER_BODY_MAP[k])
-
-    def test_set_predefined_body_invalid_key(self):
-        with self.assertRaises(ValueError):
-            self.screener.set_predefined_body('invalid_key')
-
-    def test_set_body(self):
-        body = {
-            "offset": 0,
-            "size": 100,
-            "sortField": "ticker",
-            "sortType": "desc",
-            "quoteType": "equity",
-            "query": self.query.to_dict(),
-            "userId": "",
-            "userIdType": "guid"
-        }
-        self.screener.set_body(body)
-
-        self.assertEqual(self.screener.body, body)
-
-    def test_set_body_missing_keys(self):
-        body = {
-            "offset": 0,
-            "size": 100,
-            "sortField": "ticker",
-            "sortType": "desc",
-            "quoteType": "equity"
-        }
-        with self.assertRaises(ValueError):
-            self.screener.set_body(body)
-
-    def test_set_body_extra_keys(self):
-        body = {
-            "offset": 0,
-            "size": 100,
-            "sortField": "ticker",
-            "sortType": "desc",
-            "quoteType": "equity",
-            "query": self.query.to_dict(),
-            "userId": "",
-            "userIdType": "guid",
-            "extraKey": "extraValue"
-        }
-        with self.assertRaises(ValueError):
-            self.screener.set_body(body)
-
-    def test_patch_body(self):
-        initial_body = {
-            "offset": 0,
-            "size": 100,
-            "sortField": "ticker",
-            "sortType": "desc",
-            "quoteType": "equity",
-            "query": self.query.to_dict(),
-            "userId": "",
-            "userIdType": "guid"
-        }
-        self.screener.set_body(initial_body)
-        patch_values = {"size": 50}
-        self.screener.patch_body(patch_values)
-
-        self.assertEqual(self.screener.body['size'], 50)
-        self.assertEqual(self.screener.body['query'], self.query.to_dict())
-
-    def test_patch_body_extra_keys(self):
-        initial_body = {
-            "offset": 0,
-            "size": 100,
-            "sortField": "ticker",
-            "sortType": "desc",
-            "quoteType": "equity",
-            "query": self.query.to_dict(),
-            "userId": "",
-            "userIdType": "guid"
-        }
-        self.screener.set_body(initial_body)
-        patch_values = {"extraKey": "extraValue"}
-        with self.assertRaises(ValueError):
-            self.screener.patch_body(patch_values)
+        self.predefined = 'aggressive_small_caps'

    @patch('yfinance.screener.screener.YfData.post')
-    def test_fetch(self, mock_post):
-        mock_response = MagicMock()
-        mock_response.json.return_value = {'finance': {'result': [{}]}}
-        mock_post.return_value = mock_response
+    def test_set_large_size_in_body(self, mock_post):
+        with self.assertRaises(ValueError):
+            screen(self.query, size=251)

-        self.screener.set_default_body(self.query)
-        response = self.screener._fetch()
-
-        self.assertEqual(response, {'finance': {'result': [{}]}})
-
-    @patch('yfinance.screener.screener.YfData.post')
-    def test_fetch_and_parse(self, mock_post):
+    @patch('yfinance.data.YfData.post')
+    def test_fetch_query(self, mock_post):
        mock_response = MagicMock()
        mock_response.json.return_value = {'finance': {'result': [{'key': 'value'}]}}
        mock_post.return_value = mock_response

-        self.screener.set_default_body(self.query)
-        self.screener._fetch_and_parse()
-        self.assertEqual(self.screener.response, {'key': 'value'})
+        response = screen(self.query)
+        self.assertEqual(response, {'key': 'value'})
+
+    @patch('yfinance.data.YfData.get')
+    def test_fetch_predefined(self, mock_get):
+        mock_response = MagicMock()
+        mock_response.json.return_value = {'finance': {'result': [{'key': 'value'}]}}
+        mock_get.return_value = mock_response
+
+        response = screen(self.predefined)
+        self.assertEqual(response, {'key': 'value'})

 if __name__ == '__main__':
    unittest.main()
--- a/tests/test_search.py
+++ b/tests/test_search.py
@@ -0,0 +1,42 @@
+import unittest
+
+from tests.context import yfinance as yf
+
+
+class TestSearch(unittest.TestCase):
+    def test_invalid_query(self):
+        search = yf.Search(query="XYZXYZ")
+
+        self.assertEqual(len(search.quotes), 0)
+        self.assertEqual(len(search.news), 0)
+        self.assertEqual(len(search.lists), 0)
+        self.assertEqual(len(search.nav), 0)
+        self.assertEqual(len(search.research), 0)
+
+    def test_empty_query(self):
+        search = yf.Search(query="")
+
+        self.assertEqual(len(search.quotes), 0)
+        self.assertEqual(len(search.news), 0)
+
+    def test_fuzzy_query(self):
+        search = yf.Search(query="Appel", enable_fuzzy_query=True)
+
+        # Check if the fuzzy search retrieves relevant results despite the typo
+        self.assertGreater(len(search.quotes), 0)
+        self.assertIn("AAPL", search.quotes[0]['symbol'])
+
+    def test_quotes(self):
+        search = yf.Search(query="AAPL", max_results=5)
+
+        self.assertEqual(len(search.quotes), 5)
+        self.assertIn("AAPL", search.quotes[0]['symbol'])
+
+    def test_news(self):
+        search = yf.Search(query="AAPL", news_count=3)
+
+        self.assertEqual(len(search.news), 3)
+
+    def test_research_reports(self):
+        search = yf.Search(query="AAPL", include_research=True)
+        self.assertEqual(len(search.research), 3)
--- a/tests/test_ticker.py
+++ b/tests/test_ticker.py
@@ -8,6 +8,8 @@ Specific test class:
   python -m unittest tests.ticker.TestTicker

 """
+from datetime import datetime, timedelta
+
 import pandas as pd

 from tests.context import yfinance as yf
@@ -35,10 +37,12 @@ ticker_attributes = (
    ("recommendations", Union[pd.DataFrame, dict]),
    ("recommendations_summary", Union[pd.DataFrame, dict]),
    ("upgrades_downgrades", Union[pd.DataFrame, dict]),
+    ("ttm_cashflow", pd.DataFrame),
    ("quarterly_cashflow", pd.DataFrame),
    ("cashflow", pd.DataFrame),
    ("quarterly_balance_sheet", pd.DataFrame),
    ("balance_sheet", pd.DataFrame),
+    ("ttm_income_stmt", pd.DataFrame),
    ("quarterly_income_stmt", pd.DataFrame),
    ("income_stmt", pd.DataFrame),
    ("analyst_price_targets", dict),
@@ -133,8 +137,55 @@ class TestTicker(unittest.TestCase):
        with self.assertRaises(YFInvalidPeriodError):
            dat.history(period="2wks", interval="1d", raise_errors=True)
        with self.assertRaises(YFInvalidPeriodError):
-            dat.history(period="2mo", interval="1d", raise_errors=True)
+            dat.history(period="2mos", interval="1d", raise_errors=True)

+    def test_valid_custom_periods(self):
+        valid_periods = [
+            # Yahoo provided periods
+            ("1d", "1m"), ("5d", "15m"), ("1mo", "1d"), ("3mo", "1wk"),
+            ("6mo", "1d"), ("1y", "1mo"), ("5y", "1wk"), ("max", "1mo"),
+
+            # Custom periods
+            ("2d", "30m"), ("10mo", "1d"), ("1y", "1d"), ("3y", "1d"),
+            ("2wk", "15m"), ("6mo", "5d"), ("10y", "1wk")
+        ]
+
+        tkr = "AAPL"
+        dat = yf.Ticker(tkr, session=self.session)
+
+        for period, interval in valid_periods:
+            with self.subTest(period=period, interval=interval):
+                df = dat.history(period=period, interval=interval, raise_errors=True)
+                self.assertIsInstance(df, pd.DataFrame)
+                self.assertFalse(df.empty, f"No data returned for period={period}, interval={interval}")
+                self.assertIn("Close", df.columns, f"'Close' column missing for period={period}, interval={interval}")
+
+                # Validate date range
+                now = datetime.now()
+                if period != "max":  # Difficult to assert for "max", therefore we skip
+                    if period.endswith("d"):
+                        days = int(period[:-1])
+                        expected_start = now - timedelta(days=days)
+                    elif period.endswith("mo"):
+                        months = int(period[:-2])
+                        expected_start = now - timedelta(days=30 * months)
+                    elif period.endswith("y"):
+                        years = int(period[:-1])
+                        expected_start = now - timedelta(days=365 * years)
+                    elif period.endswith("wk"):
+                        weeks = int(period[:-2])
+                        expected_start = now - timedelta(weeks=weeks)
+                    else:
+                        continue
+
+                    actual_start = df.index[0].to_pydatetime().replace(tzinfo=None)
+                    expected_start = expected_start.replace(hour=0, minute=0, second=0, microsecond=0)
+
+                    # leeway added because of weekends
+                    self.assertGreaterEqual(actual_start, expected_start - timedelta(days=10),
+                                            f"Start date {actual_start} out of range for period={period}")
+                    self.assertLessEqual(df.index[-1].to_pydatetime().replace(tzinfo=None), now,
+                                         f"End date {df.index[-1]} out of range for period={period}")

    def test_prices_missing(self):
        # this test will need to be updated every time someone wants to run a test
@@ -259,14 +310,13 @@ class TestTickerHistory(unittest.TestCase):
            actual_urls_called[i] = u
        actual_urls_called = tuple(actual_urls_called)

-        expected_urls = (
-            f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?events=div%2Csplits%2CcapitalGains&includePrePost=False&interval=1d&range={period}",
-        )
-        self.assertEqual(
-            expected_urls,
-            actual_urls_called,
-            "Different than expected url used to fetch history."
-        )
+        expected_urls = [
+            f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?interval=1d&range=1d",  # ticker's tz
+            f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?events=div%2Csplits%2CcapitalGains&includePrePost=False&interval=1d&range={period}"
+        ]
+        for url in actual_urls_called:
+            self.assertTrue(url in expected_urls, f"Unexpected URL called: {url}")
+
    def test_dividends(self):
        data = self.ticker.dividends
        self.assertIsInstance(data, pd.Series, "data has wrong type")
@@ -282,6 +332,12 @@ class TestTickerHistory(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

+    def test_chained_history_calls(self):
+        _ = self.ticker.history(period="2d")
+        data = self.ticker.dividends
+        self.assertIsInstance(data, pd.Series, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+

 class TestTickerEarnings(unittest.TestCase):
    session = None
@@ -309,7 +365,7 @@ class TestTickerEarnings(unittest.TestCase):
    def test_earnings_dates_with_limit(self):
        # use ticker with lots of historic earnings
        ticker = yf.Ticker("IBM")
-        limit = 110
+        limit = 100
        data = ticker.get_earnings_dates(limit=limit)
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")
@@ -506,6 +562,34 @@ class TestTickerMiscFinancials(unittest.TestCase):
        data = self.ticker.get_income_stmt(as_dict=True)
        self.assertIsInstance(data, dict, "data has wrong type")

+    def test_ttm_income_statement(self):
+        expected_keys = ["Total Revenue", "Pretax Income", "Normalized EBITDA"]
+
+        # Test contents of table
+        data = self.ticker.get_income_stmt(pretty=True, freq='trailing')
+        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+        for k in expected_keys:
+            self.assertIn(k, data.index, "Did not find expected row in index")
+        # Trailing 12 months there must be exactly one column
+        self.assertEqual(len(data.columns), 1, "Only one column should be returned on TTM income statement")
+
+        # Test property defaults
+        data2 = self.ticker.ttm_income_stmt
+        self.assertTrue(data.equals(data2), "property not defaulting to 'pretty=True'")
+
+        # Test pretty=False
+        expected_keys = [k.replace(' ', '') for k in expected_keys]
+        data = self.ticker.get_income_stmt(pretty=False, freq='trailing')
+        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+        for k in expected_keys:
+            self.assertIn(k, data.index, "Did not find expected row in index")
+
+        # Test to_dict
+        data = self.ticker.get_income_stmt(as_dict=True, freq='trailing')
+        self.assertIsInstance(data, dict, "data has wrong type")
+
    def test_balance_sheet(self):
        expected_keys = ["Total Assets", "Net PPE"]
        expected_periods_days = 365
@@ -622,6 +706,34 @@ class TestTickerMiscFinancials(unittest.TestCase):
        data = self.ticker.get_cashflow(as_dict=True)
        self.assertIsInstance(data, dict, "data has wrong type")

+    def test_ttm_cash_flow(self):
+        expected_keys = ["Operating Cash Flow", "Net PPE Purchase And Sale"]
+
+        # Test contents of table
+        data = self.ticker.get_cashflow(pretty=True, freq='trailing')
+        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+        for k in expected_keys:
+            self.assertIn(k, data.index, "Did not find expected row in index")
+        # Trailing 12 months there must be exactly one column
+        self.assertEqual(len(data.columns), 1, "Only one column should be returned on TTM cash flow")
+
+        # Test property defaults
+        data2 = self.ticker.ttm_cashflow
+        self.assertTrue(data.equals(data2), "property not defaulting to 'pretty=True'")
+
+        # Test pretty=False
+        expected_keys = [k.replace(' ', '') for k in expected_keys]
+        data = self.ticker.get_cashflow(pretty=False, freq='trailing')
+        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+        for k in expected_keys:
+            self.assertIn(k, data.index, "Did not find expected row in index")
+
+        # Test to_dict
+        data = self.ticker.get_cashflow(as_dict=True, freq='trailing')
+        self.assertIsInstance(data, dict, "data has wrong type")
+
    def test_income_alt_names(self):
        i1 = self.ticker.income_stmt
        i2 = self.ticker.incomestmt
@@ -647,6 +759,18 @@ class TestTickerMiscFinancials(unittest.TestCase):
        i3 = self.ticker.get_financials(freq="quarterly")
        self.assertTrue(i1.equals(i3))

+        i1 = self.ticker.ttm_income_stmt
+        i2 = self.ticker.ttm_incomestmt
+        self.assertTrue(i1.equals(i2))
+        i3 = self.ticker.ttm_financials
+        self.assertTrue(i1.equals(i3))
+
+        i1 = self.ticker.get_income_stmt(freq="trailing")
+        i2 = self.ticker.get_incomestmt(freq="trailing")
+        self.assertTrue(i1.equals(i2))
+        i3 = self.ticker.get_financials(freq="trailing")
+        self.assertTrue(i1.equals(i3))
+
    def test_balance_sheet_alt_names(self):
        i1 = self.ticker.balance_sheet
        i2 = self.ticker.balancesheet
@@ -681,6 +805,14 @@ class TestTickerMiscFinancials(unittest.TestCase):
        i2 = self.ticker.get_cashflow(freq="quarterly")
        self.assertTrue(i1.equals(i2))

+        i1 = self.ticker.ttm_cash_flow
+        i2 = self.ticker.ttm_cashflow
+        self.assertTrue(i1.equals(i2))
+
+        i1 = self.ticker.get_cash_flow(freq="trailing")
+        i2 = self.ticker.get_cashflow(freq="trailing")
+        self.assertTrue(i1.equals(i2))
+
    def test_bad_freq_value_raises_exception(self):
        self.assertRaises(ValueError, lambda: self.ticker.get_cashflow(freq="badarg"))

@@ -760,7 +892,7 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")
        self.assertTrue(len(data.columns) == 4, "data has wrong number of columns")
-        self.assertEqual(data.columns.values.tolist(), ['Firm', 'ToGrade', 'FromGrade', 'Action'], "data has wrong column names")
+        self.assertCountEqual(data.columns.values.tolist(), ['Firm', 'ToGrade', 'FromGrade', 'Action'], "data has wrong column names")
        self.assertIsInstance(data.index, pd.DatetimeIndex, "data has wrong index type")

        data_cached = self.ticker.upgrades_downgrades
@@ -770,9 +902,6 @@ class TestTickerAnalysts(unittest.TestCase):
        data = self.ticker.analyst_price_targets
        self.assertIsInstance(data, dict, "data has wrong type")

-        keys = {'current', 'low', 'high', 'mean', 'median'}
-        self.assertEqual(data.keys(), keys, "data has wrong keys")
-
        data_cached = self.ticker.analyst_price_targets
        self.assertIs(data, data_cached, "data not cached")

@@ -781,12 +910,6 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

-        columns = ['numberOfAnalysts', 'avg', 'low', 'high', 'yearAgoEps', 'growth']
-        self.assertEqual(data.columns.values.tolist(), columns, "data has wrong column names")
-
-        index = ['0q', '+1q', '0y', '+1y']
-        self.assertEqual(data.index.values.tolist(), index, "data has wrong row names")
-
        data_cached = self.ticker.earnings_estimate
        self.assertIs(data, data_cached, "data not cached")

@@ -795,12 +918,6 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

-        columns = ['numberOfAnalysts', 'avg', 'low', 'high', 'yearAgoRevenue', 'growth']
-        self.assertEqual(data.columns.values.tolist(), columns, "data has wrong column names")
-
-        index = ['0q', '+1q', '0y', '+1y']
-        self.assertEqual(data.index.values.tolist(), index, "data has wrong row names")
-
        data_cached = self.ticker.revenue_estimate
        self.assertIs(data, data_cached, "data not cached")

@@ -809,8 +926,6 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

-        columns = ['epsEstimate', 'epsActual', 'epsDifference', 'surprisePercent']
-        self.assertEqual(data.columns.values.tolist(), columns, "data has wrong column names")
        self.assertIsInstance(data.index, pd.DatetimeIndex, "data has wrong index type")

        data_cached = self.ticker.earnings_history
@@ -821,12 +936,6 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

-        columns = ['current', '7daysAgo', '30daysAgo', '60daysAgo', '90daysAgo']
-        self.assertEqual(data.columns.values.tolist(), columns, "data has wrong column names")
-
-        index = ['0q', '+1q', '0y', '+1y']
-        self.assertEqual(data.index.values.tolist(), index, "data has wrong row names")
-
        data_cached = self.ticker.eps_trend
        self.assertIs(data, data_cached, "data not cached")

@@ -835,12 +944,6 @@ class TestTickerAnalysts(unittest.TestCase):
        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
        self.assertFalse(data.empty, "data is empty")

-        columns = ['stock', 'industry', 'sector', 'index']
-        self.assertEqual(data.columns.values.tolist(), columns, "data has wrong column names")
-
-        index = ['0q', '+1q', '0y', '+1y']
-        self.assertEqual(data.index.values.tolist(), index, "data has wrong row names")
-
        data_cached = self.ticker.growth_estimates
        self.assertIs(data, data_cached, "data not cached")

--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -12,74 +12,10 @@ from datetime import datetime
 from unittest import TestSuite

 import pandas as pd
-# import numpy as np
-
-from tests.context import yfinance as yf

 import unittest
-# import requests_cache
-import tempfile
-import os

-
-class TestCache(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls):
-        cls.tempCacheDir = tempfile.TemporaryDirectory()
-        yf.set_tz_cache_location(cls.tempCacheDir.name)
-
-    @classmethod
-    def tearDownClass(cls):
-        cls.tempCacheDir.cleanup()
-
-    def test_storeTzNoRaise(self):
-        # storing TZ to cache should never raise exception
-        tkr = 'AMZN'
-        tz1 = "America/New_York"
-        tz2 = "London/Europe"
-        cache = yf.cache.get_tz_cache()
-        cache.store(tkr, tz1)
-        cache.store(tkr, tz2)
-
-    def test_setTzCacheLocation(self):
-        self.assertEqual(yf.cache._TzDBManager.get_location(), self.tempCacheDir.name)
-
-        tkr = 'AMZN'
-        tz1 = "America/New_York"
-        cache = yf.cache.get_tz_cache()
-        cache.store(tkr, tz1)
-
-        self.assertTrue(os.path.exists(os.path.join(self.tempCacheDir.name, "tkr-tz.db")))
-
-
-class TestCacheNoPermission(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls):
-        yf.set_tz_cache_location("/root/yf-cache")
-
-    def test_tzCacheRootStore(self):
-        # Test that if cache path in read-only filesystem, no exception.
-        tkr = 'AMZN'
-        tz1 = "America/New_York"
-
-        # During attempt to store, will discover cannot write
-        yf.cache.get_tz_cache().store(tkr, tz1)
-
-        # Handling the store failure replaces cache with a dummy
-        cache = yf.cache.get_tz_cache()
-        self.assertTrue(cache.dummy)
-        cache.store(tkr, tz1)
-
-    def test_tzCacheRootLookup(self):
-        # Test that if cache path in read-only filesystem, no exception.
-        tkr = 'AMZN'
-        # During attempt to lookup, will discover cannot write
-        yf.cache.get_tz_cache().lookup(tkr)
-
-        # Handling the lookup failure replaces cache with a dummy
-        cache = yf.cache.get_tz_cache()
-        self.assertTrue(cache.dummy)
-        cache.lookup(tkr)
+from yfinance.utils import is_valid_period_format


 class TestPandas(unittest.TestCase):
@@ -105,11 +41,30 @@ class TestPandas(unittest.TestCase):
            i += 1


+class TestUtils(unittest.TestCase):
+    def test_is_valid_period_format_valid(self):
+        self.assertTrue(is_valid_period_format("1d"))
+        self.assertTrue(is_valid_period_format("5wk"))
+        self.assertTrue(is_valid_period_format("12mo"))
+        self.assertTrue(is_valid_period_format("2y"))
+
+    def test_is_valid_period_format_invalid(self):
+        self.assertFalse(is_valid_period_format("1m"))    # Incorrect suffix
+        self.assertFalse(is_valid_period_format("2wks"))  # Incorrect suffix
+        self.assertFalse(is_valid_period_format("10"))    # Missing suffix
+        self.assertFalse(is_valid_period_format("abc"))   # Invalid string
+        self.assertFalse(is_valid_period_format(""))      # Empty string
+
+    def test_is_valid_period_format_edge_cases(self):
+        self.assertFalse(is_valid_period_format(None))    # None input
+        self.assertFalse(is_valid_period_format("0d"))    # Zero is invalid
+        self.assertTrue(is_valid_period_format("999mo"))  # Large number valid
+
+
 def suite():
    ts: TestSuite = unittest.TestSuite()
-    ts.addTest(TestCache('Test cache'))
-    ts.addTest(TestCacheNoPermission('Test cache no permission'))
    ts.addTest(TestPandas("Test pandas"))
+    ts.addTest(TestUtils("Test utils"))
    return ts


--- a/yfinance/init.py
+++ b/yfinance/init.py
@@ -20,6 +20,7 @@
 #

 from . import version
+from .search import Search
 from .ticker import Ticker
 from .tickers import Tickers
 from .multi import download
@@ -27,8 +28,10 @@ from .utils import enable_debug_mode
 from .cache import set_tz_cache_location
 from .domain.sector import Sector
 from .domain.industry import Industry
-from .screener.screener import Screener
-from .screener.screener_query import EquityQuery
+from .domain.market import Market
+
+from .screener.query import EquityQuery, FundQuery
+from .screener.screener import screen, PREDEFINED_SCREENER_QUERIES

 __version__ = version.version
 __author__ = "Ran Aroussi"
@@ -36,5 +39,6 @@ __author__ = "Ran Aroussi"
 import warnings
 warnings.filterwarnings('default', category=DeprecationWarning, module='^yfinance')

-__all__ = ['download', 'Ticker', 'Tickers', 'enable_debug_mode', 'set_tz_cache_location', 'Sector', 'Industry',
-           'EquityQuery','Screener']
+__all__ = ['download', 'Market', 'Search', 'Ticker', 'Tickers', 'enable_debug_mode', 'set_tz_cache_location', 'Sector', 'Industry']
+# screener stuff:
+__all__ += ['EquityQuery', 'FundQuery', 'screen', 'PREDEFINED_SCREENER_QUERIES']
--- a/yfinance/base.py
+++ b/yfinance/base.py
@@ -21,18 +21,18 @@

 from __future__ import print_function

-from io import StringIO
 import json as _json
 import warnings
 from typing import Optional, Union
 from urllib.parse import quote as urlencode

+import numpy as np
 import pandas as pd
 import requests

 from . import utils, cache
 from .data import YfData
-from .exceptions import YFEarningsDateMissing
+from .exceptions import YFEarningsDateMissing, YFRateLimitError
 from .scrapers.analysis import Analysis
 from .scrapers.fundamentals import Fundamentals
 from .scrapers.holders import Holders
@@ -40,9 +40,11 @@ from .scrapers.quote import Quote, FastInfo
 from .scrapers.history import PriceHistory
 from .scrapers.funds import FundsData

-from .const import _BASE_URL_, _ROOT_URL_
+from .const import _BASE_URL_, _ROOT_URL_, _QUERY1_URL_


+_tz_info_fetch_ctr = 0
+
 class TickerBase:
    def __init__(self, ticker, session=None, proxy=None):
        self.ticker = ticker.upper()
@@ -100,9 +102,19 @@ class TickerBase:

        if tz is None:
            tz = self._fetch_ticker_tz(proxy, timeout)
-
+            if tz is None:
+                # _fetch_ticker_tz works in 99.999% of cases.
+                # For rare fail get from info.
+                global _tz_info_fetch_ctr
+                if _tz_info_fetch_ctr < 2:
+                    # ... but limit. If _fetch_ticker_tz() always
+                    # failing then bigger problem.
+                    _tz_info_fetch_ctr += 1
+                    for k in ['exchangeTimezoneName', 'timeZoneFullName']:
+                        if k in self.info:
+                            tz = self.info[k]
+                            break
            if utils.is_valid_timezone(tz):
-                # info fetch is relatively slow so cache timezone
                c.store(self.ticker, tz)
            else:
                tz = None
@@ -124,6 +136,9 @@ class TickerBase:
        try:
            data = self._data.cache_get(url=url, params=params, proxy=proxy, timeout=timeout)
            data = data.json()
+        except YFRateLimitError:
+            # Must propagate this
+            raise
        except Exception as e:
            logger.error(f"Failed to get ticker '{self.ticker}' reason: {e}")
            return None
@@ -315,7 +330,7 @@ class TickerBase:
                Return table as Python dict
                Default is False
            freq: str
-                "yearly" or "quarterly"
+                "yearly" or "quarterly" or "trailing"
                Default is "yearly"
            proxy: str
                Optional. Proxy server URL scheme
@@ -342,7 +357,7 @@ class TickerBase:
                Format row names nicely for readability
                Default is False
            freq: str
-                "yearly" or "quarterly"
+                "yearly" or "quarterly" or "trailing"
                Default is "yearly"
            proxy: str
                Optional. Proxy server URL scheme
@@ -425,17 +440,17 @@ class TickerBase:
    def get_cashflow(self, proxy=None, as_dict=False, pretty=False, freq="yearly"):
        return self.get_cash_flow(proxy, as_dict, pretty, freq)

-    def get_dividends(self, proxy=None) -> pd.Series:
-        return self._lazy_load_price_history().get_dividends(proxy)
+    def get_dividends(self, proxy=None, period="max") -> pd.Series:
+        return self._lazy_load_price_history().get_dividends(period=period, proxy=proxy)

-    def get_capital_gains(self, proxy=None) -> pd.Series:
-        return self._lazy_load_price_history().get_capital_gains(proxy)
+    def get_capital_gains(self, proxy=None, period="max") -> pd.Series:
+        return self._lazy_load_price_history().get_capital_gains(period=period, proxy=proxy)

-    def get_splits(self, proxy=None) -> pd.Series:
-        return self._lazy_load_price_history().get_splits(proxy)
+    def get_splits(self, proxy=None, period="max") -> pd.Series:
+        return self._lazy_load_price_history().get_splits(period=period, proxy=proxy)

-    def get_actions(self, proxy=None) -> pd.Series:
-        return self._lazy_load_price_history().get_actions(proxy)
+    def get_actions(self, proxy=None, period="max") -> pd.Series:
+        return self._lazy_load_price_history().get_actions(period=period, proxy=proxy)

    def get_shares(self, proxy=None, as_dict=False) -> Union[pd.DataFrame, dict]:
        self._fundamentals.proxy = proxy or self.proxy
@@ -534,26 +549,45 @@ class TickerBase:
        self._isin = data.split(search_str)[1].split('"')[0].split('|')[0]
        return self._isin

-    def get_news(self, proxy=None) -> list:
+    def get_news(self, count=10, tab="news", proxy=None) -> list:
+        """Allowed options for tab: "news", "all", "press releases"""
        if self._news:
            return self._news

-        # Getting data from json
-        url = f"{_BASE_URL_}/v1/finance/search?q={self.ticker}"
-        data = self._data.cache_get(url=url, proxy=proxy)
+        logger = utils.get_yf_logger()
+
+        tab_queryrefs = {
+            "all": "newsAll",
+            "news": "latestNews",
+            "press releases": "pressRelease",
+        }
+
+        query_ref = tab_queryrefs.get(tab.lower())
+        if not query_ref:
+            raise ValueError(f"Invalid tab name '{tab}'. Choose from: {', '.join(tab_queryrefs.keys())}")
+
+        url = f"{_ROOT_URL_}/xhr/ncp?queryRef={query_ref}&serviceKey=ncp_fin"
+        payload = {
+            "serviceConfig": {
+                "snippetCount": count,
+                "s": [self.ticker]
+            }
+        }
+
+        data = self._data.post(url, body=payload, proxy=proxy)
        if data is None or "Will be right back" in data.text:
            raise RuntimeError("*** YAHOO! FINANCE IS CURRENTLY DOWN! ***\n"
                               "Our engineers are working quickly to resolve "
                               "the issue. Thank you for your patience.")
        try:
            data = data.json()
-        except (_json.JSONDecodeError): 
-            logger = utils.get_yf_logger()
+        except _json.JSONDecodeError:
            logger.error(f"{self.ticker}: Failed to retrieve the news and received faulty response instead.")
            data = {}

-        # parse news
-        self._news = data.get("news", [])
+        news = data.get("data", {}).get("tickerStream", {}).get("stream", [])
+
+        self._news = [article for article in news if not article.get('ad', [])]
        return self._news

    @utils.log_indent_decorator
@@ -570,85 +604,62 @@ class TickerBase:
        Returns:
            pd.DataFrame
        """
-        if self._earnings_dates and limit in self._earnings_dates:
-            return self._earnings_dates[limit]
-
        logger = utils.get_yf_logger()
+        clamped_limit = min(limit, 100)  # YF caps at 100, don't go higher

-        page_size = min(limit, 100)  # YF caps at 100, don't go higher
-        page_offset = 0
-        dates = None
-        while True:
-            url = f"{_ROOT_URL_}/calendar/earnings?symbol={self.ticker}&offset={page_offset}&size={page_size}"
-            data = self._data.cache_get(url=url, proxy=proxy).text
+        if self._earnings_dates and clamped_limit in self._earnings_dates:
+            return self._earnings_dates[clamped_limit]

-            if "Will be right back" in data:
-                raise RuntimeError("*** YAHOO! FINANCE IS CURRENTLY DOWN! ***\n"
-                                   "Our engineers are working quickly to resolve "
-                                   "the issue. Thank you for your patience.")
+        # Fetch data
+        url = f"{_QUERY1_URL_}/v1/finance/visualization"
+        params = {"lang": "en-US", "region": "US"}
+        body = {
+            "size": clamped_limit,
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "eq", "operands": ["ticker", self.ticker]},
+                    {"operator": "eq", "operands": ["eventtype", "2"]}
+                ]
+            },
+            "sortField": "startdatetime",
+            "sortType": "DESC",
+            "entityIdType": "earnings",
+            "includeFields": ["startdatetime", "timeZoneShortName", "epsestimate", "epsactual", "epssurprisepct"]
+        }
+        response = self._data.post(url, params=params, body=body, proxy=proxy)
+        json_data = response.json()

-            try:
-                data = pd.read_html(StringIO(data))[0]
-            except ValueError:
-                if page_offset == 0:
-                    # Should not fail on first page
-                    if "Showing Earnings for:" in data:
-                        # Actually YF was successful, problem is company doesn't have earnings history
-                        dates = utils.empty_earnings_dates_df()
-                break
-            if dates is None:
-                dates = data
-            else:
-                dates = pd.concat([dates, data], axis=0)
+        # Extract data
+        columns = [row['label'] for row in json_data['finance']['result'][0]['documents'][0]['columns']]
+        rows = json_data['finance']['result'][0]['documents'][0]['rows']
+        df = pd.DataFrame(rows, columns=columns)

-            page_offset += page_size
-            # got less data then we asked for or already fetched all we requested, no need to fetch more pages
-            if len(data) < page_size or len(dates) >= limit:
-                dates = dates.iloc[:limit]
-                break
-            else:
-                # do not fetch more than needed next time
-                page_size = min(limit - len(dates), page_size)
-
-        if dates is None or dates.shape[0] == 0:
+        if df.empty:
            _exception = YFEarningsDateMissing(self.ticker)
            err_msg = str(_exception)
            logger.error(f'{self.ticker}: {err_msg}')
            return None
-        dates = dates.reset_index(drop=True)

-        # Drop redundant columns
-        dates = dates.drop(["Symbol", "Company"], axis=1)
+        # Calculate earnings date
+        df['Earnings Date'] = pd.to_datetime(df['Event Start Date'])
+        tz = self._get_ticker_tz(proxy=proxy, timeout=30)
+        if df['Earnings Date'].dt.tz is None:
+            df['Earnings Date'] = df['Earnings Date'].dt.tz_localize(tz)
+        else:
+            df['Earnings Date'] = df['Earnings Date'].dt.tz_convert(tz)

        # Convert types
-        for cn in ["EPS Estimate", "Reported EPS", "Surprise(%)"]:
-            dates.loc[dates[cn] == '-', cn] = float("nan")
-            dates[cn] = dates[cn].astype(float)
+        columns_to_update = ['Surprise (%)', 'EPS Estimate', 'Reported EPS']
+        df[columns_to_update] = df[columns_to_update].astype('float64').replace(0.0, np.nan)

-        # Convert % to range 0->1:
-        dates["Surprise(%)"] *= 0.01
+        # Format the dataframe
+        df.drop(['Event Start Date', 'Timezone short name'], axis=1, inplace=True)
+        df.set_index('Earnings Date', inplace=True)
+        df.rename(columns={'Surprise (%)': 'Surprise(%)'}, inplace=True)  # Compatibility

-        # Parse earnings date string
-        cn = "Earnings Date"
-        # - remove AM/PM and timezone from date string
-        tzinfo = dates[cn].str.extract('([AP]M[a-zA-Z]*)$')
-        dates[cn] = dates[cn].replace(' [AP]M[a-zA-Z]*$', '', regex=True)
-        # - split AM/PM from timezone
-        tzinfo = tzinfo[0].str.extract('([AP]M)([a-zA-Z]*)', expand=True)
-        tzinfo.columns = ["AM/PM", "TZ"]
-        # - combine and parse
-        dates[cn] = dates[cn] + ' ' + tzinfo["AM/PM"]
-        dates[cn] = pd.to_datetime(dates[cn], format="%b %d, %Y, %I %p")
-        # - instead of attempting decoding of ambiguous timezone abbreviation, just use 'info':
-        self._quote.proxy = proxy or self.proxy
-        tz = self._get_ticker_tz(proxy=proxy, timeout=30)
-        dates[cn] = dates[cn].dt.tz_localize(tz)
-
-        dates = dates.set_index("Earnings Date")
-
-        self._earnings_dates[limit] = dates
-
-        return dates
+        self._earnings_dates[clamped_limit] = df
+        return df

    def get_history_metadata(self, proxy=None) -> dict:
        return self._lazy_load_price_history().get_history_metadata(proxy)
@@ -657,4 +668,4 @@ class TickerBase:
        if not self._funds_data:
            self._funds_data = FundsData(self._data, self.ticker)
        
-        return self._funds_data
+        return self._funds_data
--- a/yfinance/const.py
+++ b/yfinance/const.py
@@ -305,21 +305,92 @@ SECTOR_INDUSTY_MAPPING = {
                    'utilities-independent-power-producers',
                    'utilities-regulated-water'}
 }
+
+def merge_two_level_dicts(dict1, dict2):
+    result = dict1.copy()
+    for key, value in dict2.items():
+        if key in result:
+            # If both are sets, merge them
+            if isinstance(value, set) and isinstance(result[key], set):
+                result[key] = result[key] | value
+            # If both are dicts, merge their contents
+            elif isinstance(value, dict) and isinstance(result[key], dict):
+                result[key] = {
+                    k: (result[key].get(k, set()) | v if isinstance(v, set) 
+                        else v) if k in result[key]
+                    else v
+                    for k, v in value.items()
+                }
+        else:
+            result[key] = value
+    return result
+
 EQUITY_SCREENER_EQ_MAP = {
-    "region": {
-        "za", "ve", "vn", "us", "tw", "th", "tr", "sr", "sg", "sa", "se", "ru", "ro", "qa", "pt", "pk", "pl",
-        "ph", "nz", "nl", "mx", "pe", "no", "my", "lv", "lt", "kw", "jp", "is", "il", "lk", "kr", "it", "in",
-        "ie", "hu", "id", "hk", "gb", "fi", "eg", "dk", "gr", "fr", "es", "ee", "de", "cz", "cl", "ca", "be",
-        "at", "cn", "br", "au", "ar", "ch"
+    "exchange": {
+        'ar': {'BUE'},
+        'at': {'VIE'},
+        'au': {'ASX'},
+        'be': {'BRU'},
+        'br': {'SAO'},
+        'ca': {'CNQ', 'NEO', 'TOR', 'VAN'},
+        'ch': {'EBS'},
+        'cl': {'SGO'},
+        'cn': {'SHH', 'SHZ'},
+        'co': {'BVC'},
+        'cz': {'PRA'},
+        'de': {'BER', 'DUS', 'FRA', 'HAM', 'GER', 'MUN', 'STU'},
+        'dk': {'CPH'},
+        'ee': {'TAL'},
+        'eg': {'CAI'},
+        'es': {'MCE'},
+        'fi': {'HEL'},
+        'fr': {'PAR'},
+        'gb': {'AQS', 'IOB', 'LSE'},
+        'gr': {'ATH'},
+        'hk': {'HKG'},
+        'hu': {'BUD'},
+        'id': {'JKT'},
+        'ie': {'ISE'},
+        'il': {'TLV'},
+        'in': {'BSE', 'NSI'},
+        'is': {'ICE'},
+        'it': {'MIL'},
+        'jp': {'FKA', 'JPX', 'SAP'},
+        'kr': {'KOE', 'KSC'},
+        'kw': {'KUW'},
+        'lk': {},
+        'lt': {'LIT'},
+        'lv': {'RIS'},
+        'mx': {'MEX'},
+        'my': {'KLS'},
+        'nl': {'AMS'},
+        'no': {'OSL'},
+        'nz': {'NZE'},
+        'pe': {},
+        'ph': {'PHP', 'PHS'},
+        'pk': {},
+        'pl': {'WSE'},
+        'pt': {'LIS'},
+        'qa': {'DOH'},
+        'ro': {'BVB'},
+        'ru': {},
+        'sa': {'SAU'},
+        'se': {'STO'},
+        'sg': {'SES'},
+        'sr': {},
+        'th': {'SET'},
+        'tr': {'IST'},
+        'tw': {'TAI', 'TWO'},
+        'us': {'ASE', 'BTS', 'CXI', 'NCM', 'NGM', 'NMS', 'NYQ', 'OEM', 'OQB', 'OQX', 'PCX', 'PNK', 'YHD'},
+        've': {'CCS'},
+        'vn': {},
+        'za': {'JNB'}
    },
    "sector": {
        "Basic Materials", "Industrials", "Communication Services", "Healthcare",
        "Real Estate", "Technology", "Energy", "Utilities", "Financial Services",
        "Consumer Defensive", "Consumer Cyclical"
    },
-    "exchanges": {
-        "NMS", "NAS", "YHD", "NYQ", "NGM", "NCM", "BSE"
-    },
    "peer_group": {
        "US Fund Equity Energy",
        "US CE Convertibles",
@@ -426,20 +497,42 @@ EQUITY_SCREENER_EQ_MAP = {
        "Banks"
    }
 }
+EQUITY_SCREENER_EQ_MAP['region'] = EQUITY_SCREENER_EQ_MAP['exchange'].keys()
+ordered_keys = ['region'] + [k for k in EQUITY_SCREENER_EQ_MAP.keys() if k != 'region']
+EQUITY_SCREENER_EQ_MAP = {k:EQUITY_SCREENER_EQ_MAP[k] for k in ordered_keys}
+FUND_SCREENER_EQ_MAP = {
+    "exchange": {
+        'us': {'NAS'}
+    }
+}
+COMMON_SCREENER_FIELDS = {
+    "price":{
+        "eodprice",
+        "intradaypricechange",
+        "intradayprice"
+    },
+    "eq_fields": {
+        "exchange"}, 
+}
+FUND_SCREENER_FIELDS = {
+    "eq_fields": {
+        "categoryname",
+        "performanceratingoverall",
+        "initialinvestment", 
+        "annualreturnnavy1categoryrank", 
+        "riskratingoverall"}
+}
+FUND_SCREENER_FIELDS = merge_two_level_dicts(FUND_SCREENER_FIELDS, COMMON_SCREENER_FIELDS)
 EQUITY_SCREENER_FIELDS = {
    "eq_fields": {
        "region",
        "sector",
-        "peer_group",
-        "exchanges"}, 
+        "peer_group"}, 
    "price":{
-        "eodprice",
-        "intradaypricechange",
        "lastclosemarketcap.lasttwelvemonths",
        "percentchange",
        "lastclose52weekhigh.lasttwelvemonths",
        "fiftytwowkpercentchange",
-        "intradayprice",
        "lastclose52weeklow.lasttwelvemonths",
        "intradaymarketcap"},
    "trading":{
@@ -530,21 +623,22 @@ EQUITY_SCREENER_FIELDS = {
        "social_score",
        "highest_controversy"}
 }
+EQUITY_SCREENER_FIELDS = merge_two_level_dicts(EQUITY_SCREENER_FIELDS, COMMON_SCREENER_FIELDS)

-PREDEFINED_SCREENER_BODY_MAP = {
-    'aggressive_small_caps': {"offset":0,"size":25,"sortField":"eodvolume","sortType":"desc","quoteType":"equity","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NMS"]},{"operator":"eq","operands":["exchange","NYQ"]}]},{"operator":"or","operands":[{"operator":"LT","operands":["epsgrowth.lasttwelvemonths",15]}]}]},"userId":"","userIdType":"guid"},
-    'day_gainers': {"offset":0,"size":25,"sortField":"percentchange","sortType":"DESC","quoteType":"EQUITY","query":{"operator":"AND","operands":[{"operator":"gt","operands":["percentchange",3]},{"operator":"eq","operands":["region","us"]},{"operator":"or","operands":[{"operator":"BTWN","operands":["intradaymarketcap",2000000000,10000000000]},{"operator":"BTWN","operands":["intradaymarketcap",10000000000,100000000000]},{"operator":"GT","operands":["intradaymarketcap",100000000000]}]},{"operator":"gte","operands":["intradayprice",5]},{"operator":"gt","operands":["dayvolume",15000]}]},"userId":"","userIdType":"guid"},
-    'day_losers': {"offset":0,"size":25,"sortField":"percentchange","sortType":"ASC","quoteType":"EQUITY","query":{"operator":"AND","operands":[{"operator":"lt","operands":["percentchange",-2.5]},{"operator":"eq","operands":["region","us"]},{"operator":"or","operands":[{"operator":"BTWN","operands":["intradaymarketcap",2000000000,10000000000]},{"operator":"BTWN","operands":["intradaymarketcap",10000000000,100000000000]},{"operator":"GT","operands":["intradaymarketcap",100000000000]}]},{"operator":"gte","operands":["intradayprice",5]},{"operator":"gt","operands":["dayvolume",20000]}]},"userId":"","userIdType":"guid"},
-    'growth_technology_stocks': {"offset":0,"size":25,"sortField":"eodvolume","sortType":"desc","quoteType":"equity","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"BTWN","operands":["quarterlyrevenuegrowth.quarterly",50,100]},{"operator":"GT","operands":["quarterlyrevenuegrowth.quarterly",100]},{"operator":"BTWN","operands":["quarterlyrevenuegrowth.quarterly",25,50]}]},{"operator":"or","operands":[{"operator":"BTWN","operands":["epsgrowth.lasttwelvemonths",25,50]},{"operator":"BTWN","operands":["epsgrowth.lasttwelvemonths",50,100]},{"operator":"GT","operands":["epsgrowth.lasttwelvemonths",100]}]},{"operator":"eq","operands":["sector","Technology"]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NMS"]},{"operator":"eq","operands":["exchange","NYQ"]}]}]},"userId":"","userIdType":"guid"},
-    'most_actives': {"offset":0,"size":25,"sortField":"dayvolume","sortType":"DESC","quoteType":"EQUITY","query":{"operator":"AND","operands":[{"operator":"eq","operands":["region","us"]},{"operator":"or","operands":[{"operator":"BTWN","operands":["intradaymarketcap",10000000000,100000000000]},{"operator":"GT","operands":["intradaymarketcap",100000000000]},{"operator":"BTWN","operands":["intradaymarketcap",2000000000,10000000000]}]},{"operator":"gt","operands":["dayvolume",5000000]}]},"userId":"","userIdType":"guid"},
-    'most_shorted_stocks': {"size":25,"offset":0,"sortField":"short_percentage_of_shares_outstanding.value","sortType":"DESC","quoteType":"EQUITY","topOperator":"AND","query":{"operator":"AND","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["region","us"]}]},{"operator":"gt","operands":["intradayprice",1]},{"operator":"gt","operands":["avgdailyvol3m",200000]}]},"userId":"","userIdType":"guid"},
-    'small_cap_gainers': {"offset":0,"size":25,"sortField":"eodvolume","sortType":"desc","quoteType":"equity","query":{"operator":"and","operands":[{"operator":"lt","operands":["intradaymarketcap",2000000000]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NMS"]},{"operator":"eq","operands":["exchange","NYQ"]}]}]},"userId":"","userIdType":"guid"},
-    'undervalued_growth_stocks': {"offset":0,"size":25,"sortType":"DESC","sortField":"eodvolume","quoteType":"EQUITY","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"BTWN","operands":["peratio.lasttwelvemonths",0,20]}]},{"operator":"or","operands":[{"operator":"LT","operands":["pegratio_5y",1]}]},{"operator":"or","operands":[{"operator":"BTWN","operands":["epsgrowth.lasttwelvemonths",25,50]},{"operator":"BTWN","operands":["epsgrowth.lasttwelvemonths",50,100]},{"operator":"GT","operands":["epsgrowth.lasttwelvemonths",100]}]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NMS"]},{"operator":"eq","operands":["exchange","NYQ"]}]}]},"userId":"","userIdType":"guid"},
-    'undervalued_large_caps': {"offset":0,"size":25,"sortField":"eodvolume","sortType":"desc","quoteType":"equity","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"BTWN","operands":["peratio.lasttwelvemonths",0,20]}]},{"operator":"lt","operands":["pegratio_5y",1]},{"operator":"btwn","operands":["intradaymarketcap",10000000000,100000000000]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NMS"]},{"operator":"eq","operands":["exchange","NYQ"]}]}]},"userId":"","userIdType":"guid"},
-    'conservative_foreign_funds': {"offset":0,"size":25,"sortType":"DESC","sortField":"fundnetassets","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["categoryname","Foreign Large Value"]},{"operator":"EQ","operands":["categoryname","Foreign Large Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Large Growth"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Growth"]},{"operator":"EQ","operands":["categoryname","Foreign Large Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Value"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Value"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Value"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Blend"]},{"operator":"EQ","operands":["categoryname","Foreign Small/Mid Value"]}]},{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",4]},{"operator":"EQ","operands":["performanceratingoverall",5]}]},{"operator":"lt","operands":["initialinvestment",100001]},{"operator":"lt","operands":["annualreturnnavy1categoryrank",50]},{"operator":"or","operands":[{"operator":"EQ","operands":["riskratingoverall",1]},{"operator":"EQ","operands":["riskratingoverall",3]},{"operator":"EQ","operands":["riskratingoverall",2]}]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"},
-    'high_yield_bond': {"offset":0,"size":25,"sortType":"DESC","sortField":"fundnetassets","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",4]},{"operator":"EQ","operands":["performanceratingoverall",5]}]},{"operator":"lt","operands":["initialinvestment",100001]},{"operator":"lt","operands":["annualreturnnavy1categoryrank",50]},{"operator":"or","operands":[{"operator":"EQ","operands":["riskratingoverall",1]},{"operator":"EQ","operands":["riskratingoverall",3]},{"operator":"EQ","operands":["riskratingoverall",2]}]},{"operator":"or","operands":[{"operator":"EQ","operands":["categoryname","High Yield Bond"]}]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"},
-    'portfolio_anchors': {"offset":0,"size":25,"sortType":"DESC","sortField":"fundnetassets","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["categoryname","Large Blend"]}]},{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",4]},{"operator":"EQ","operands":["performanceratingoverall",5]}]},{"operator":"lt","operands":["initialinvestment",100001]},{"operator":"lt","operands":["annualreturnnavy1categoryrank",50]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"},
-    'solid_large_growth_funds': {"offset":0,"size":25,"sortType":"DESC","sortField":"fundnetassets","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["categoryname","Large Growth"]}]},{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",5]},{"operator":"EQ","operands":["performanceratingoverall",4]}]},{"operator":"lt","operands":["initialinvestment",100001]},{"operator":"lt","operands":["annualreturnnavy1categoryrank",50]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"},
-    'solid_midcap_growth_funds': {"offset":0,"size":25,"sortType":"DESC","sortField":"fundnetassets","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"or","operands":[{"operator":"EQ","operands":["categoryname","Mid-Cap Growth"]}]},{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",5]},{"operator":"EQ","operands":["performanceratingoverall",4]}]},{"operator":"lt","operands":["initialinvestment",100001]},{"operator":"lt","operands":["annualreturnnavy1categoryrank",50]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"},
-    'top_mutual_funds': {"offset":0,"size":25,"sortType":"DESC","sortField":"percentchange","quoteType":"MUTUALFUND","query":{"operator":"and","operands":[{"operator":"gt","operands":["intradayprice",15]},{"operator":"or","operands":[{"operator":"EQ","operands":["performanceratingoverall",5]},{"operator":"EQ","operands":["performanceratingoverall",4]}]},{"operator":"gt","operands":["initialinvestment",1000]},{"operator":"or","operands":[{"operator":"eq","operands":["exchange","NAS"]}]}]},"userId":"","userIdType":"guid"}
-}
+USER_AGENTS = [
+    # Chrome
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36",
+    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36",
+    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36",
+
+    # Firefox
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:135.0) Gecko/20100101 Firefox/135.0",
+    "Mozilla/5.0 (Macintosh; Intel Mac OS X 14.7; rv:135.0) Gecko/20100101 Firefox/135.0",
+    "Mozilla/5.0 (X11; Linux i686; rv:135.0) Gecko/20100101 Firefox/135.0",
+
+    # Safari
+    "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_7_4) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.3 Safari/605.1.15",
+
+    # Edge
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36 Edg/131.0.2903.86"
+]
--- a/yfinance/data.py
+++ b/yfinance/data.py
@@ -1,4 +1,5 @@
 import functools
+import random
 from functools import lru_cache

 import requests as requests
@@ -10,6 +11,9 @@ from frozendict import frozendict
 from . import utils, cache
 import threading

+from .const import USER_AGENTS
+from .exceptions import YFRateLimitError
+
 cache_maxsize = 64


@@ -57,7 +61,8 @@ class YfData(metaclass=SingletonMeta):
    Singleton means one session one cookie shared by all threads.
    """
    user_agent_headers = {
-        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
+        'User-Agent': random.choice(USER_AGENTS)
+    }

    def __init__(self, session=None):
        self._crumb = None
@@ -72,6 +77,8 @@ class YfData(metaclass=SingletonMeta):

        self._set_session(session or requests.Session())

+        utils.get_yf_logger().debug(f"Using User-Agent: {self.user_agent_headers['User-Agent']}")
+
    def _set_session(self, session):
        if session is None:
            return
@@ -229,11 +236,16 @@ class YfData(metaclass=SingletonMeta):
            'timeout': timeout}

        get_args = {**base_args, 'url': 'https://guce.yahoo.com/consent'}
-        if self._session_is_caching:
-            get_args['expire_after'] = self._expire_after
-            response = self._session.get(**get_args)
-        else:
-            response = self._session.get(**get_args)
+        try:
+            if self._session_is_caching:
+                get_args['expire_after'] = self._expire_after
+                response = self._session.get(**get_args)
+            else:
+                response = self._session.get(**get_args)
+        except requests.exceptions.ChunkedEncodingError:
+            # No idea why happens, but handle nicely so can switch to other cookie method.
+            utils.get_yf_logger().debug('_get_cookie_csrf() encountering requests.exceptions.ChunkedEncodingError, aborting')
+            return False

        soup = BeautifulSoup(response.content, 'html.parser')
        csrfTokenInput = soup.find('input', attrs={'name': 'csrfToken'})
@@ -262,14 +274,18 @@ class YfData(metaclass=SingletonMeta):
        get_args = {**base_args,
            'url': f'https://guce.yahoo.com/copyConsent?sessionId={sessionId}',
            'data': data}
-        if self._session_is_caching:
-            post_args['expire_after'] = self._expire_after
-            get_args['expire_after'] = self._expire_after
-            self._session.post(**post_args)
-            self._session.get(**get_args)
-        else:
-            self._session.post(**post_args)
-            self._session.get(**get_args)
+        try:
+            if self._session_is_caching:
+                post_args['expire_after'] = self._expire_after
+                get_args['expire_after'] = self._expire_after
+                self._session.post(**post_args)
+                self._session.get(**get_args)
+            else:
+                self._session.post(**post_args)
+                self._session.get(**get_args)
+        except requests.exceptions.ChunkedEncodingError:
+            # No idea why happens, but handle nicely so can switch to other cookie method.
+            utils.get_yf_logger().debug('_get_cookie_csrf() encountering requests.exceptions.ChunkedEncodingError, aborting')
        self._cookie = True
        self._save_session_cookies()
        return True
@@ -390,6 +406,10 @@ class YfData(metaclass=SingletonMeta):
            response = request_method(**request_args)
            utils.get_yf_logger().debug(f'response code={response.status_code}')

+            # Raise exception if rate limited
+            if response.status_code == 429:
+                raise YFRateLimitError()
+
        return response

    @lru_cache_freezeargs
--- a/yfinance/domain/market.py
+++ b/yfinance/domain/market.py
@@ -0,0 +1,100 @@
+import datetime as dt
+
+from ..data import YfData
+from ..data import utils
+from ..const import _QUERY1_URL_
+import json as _json
+
+class Market:
+    def __init__(self, market:'str',  session=None, proxy=None, timeout=30):
+        self.market = market
+        self.session = session
+        self.proxy = proxy
+        self.timeout = timeout
+
+        self._data = YfData(session=self.session)
+        self._logger = utils.get_yf_logger()
+        
+        self._status = None
+        self._summary = None
+
+    def _fetch_json(self, url, params):
+        data = self._data.cache_get(url=url, params=params, proxy=self.proxy, timeout=self.timeout)
+        if data is None or "Will be right back" in data.text:
+            raise RuntimeError("*** YAHOO! FINANCE IS CURRENTLY DOWN! ***\n"
+                               "Our engineers are working quickly to resolve "
+                               "the issue. Thank you for your patience.")
+        try:
+            return data.json()
+        except _json.JSONDecodeError:
+            self._logger.error(f"{self.market}: Failed to retrieve market data and recieved faulty data.")
+            return {}
+        
+    def _parse_data(self):
+        # Fetch both to ensure they are at the same time
+        if (self._status is not None) and (self._summary is not None):
+            return
+        
+        self._logger.debug(f"{self.market}: Parsing market data")
+
+        # Summary
+
+        summary_url = f"{_QUERY1_URL_}/v6/finance/quote/marketSummary"
+        summary_fields = ["shortName", "regularMarketPrice", "regularMarketChange", "regularMarketChangePercent"]
+        summary_params = {
+            "fields": ",".join(summary_fields),
+            "formatted": False,
+            "lang": "en-US",
+            "market": self.market
+        }
+
+        status_url = f"{_QUERY1_URL_}/v6/finance/markettime"
+        status_params = {
+            "formatted": True,
+            "key": "finance",
+            "lang": "en-US",
+            "market": self.market
+        }
+
+        self._summary = self._fetch_json(summary_url, summary_params)
+        self._status = self._fetch_json(status_url, status_params)
+
+        try:
+            self._summary = self._summary['marketSummaryResponse']['result']
+            self._summary = {x['exchange']:x for x in self._summary}
+        except Exception as e:
+            self._logger.error(f"{self.market}: Failed to parse market summary")
+            self._logger.debug(f"{type(e)}: {e}")
+
+
+        try:
+            # Unpack
+            self._status = self._status['finance']['marketTimes'][0]['marketTime'][0]
+            self._status['timezone'] = self._status['timezone'][0]
+            del self._status['time']  # redundant
+            try:
+                self._status.update({
+                    "open": dt.datetime.fromisoformat(self._status["open"]),
+                    "close": dt.datetime.fromisoformat(self._status["close"]),
+                    "tz": dt.timezone(dt.timedelta(hours=int(self._status["timezone"]["gmtoffset"]))/1000, self._status["timezone"]["short"])
+                })
+            except Exception as e:
+                self._logger.error(f"{self.market}: Failed to update market status")
+                self._logger.debug(f"{type(e)}: {e}")
+        except Exception as e:
+            self._logger.error(f"{self.market}: Failed to parse market status")
+            self._logger.debug(f"{type(e)}: {e}")
+
+
+
+
+    @property
+    def status(self):
+        self._parse_data()
+        return self._status
+
+
+    @property
+    def summary(self):
+        self._parse_data()
+        return self._summary
--- a/yfinance/exceptions.py
+++ b/yfinance/exceptions.py
@@ -44,4 +44,10 @@ class YFInvalidPeriodError(YFException):
        self.ticker = ticker
        self.invalid_period = invalid_period
        self.valid_ranges = valid_ranges
-        super().__init__(f"{self.ticker}: Period '{invalid_period}' is invalid, must be one of {valid_ranges}")
+        super().__init__(f"{self.ticker}: Period '{invalid_period}' is invalid, "
+                         f"must be of the format {valid_ranges}, etc.")
+
+
+class YFRateLimitError(YFException):
+    def __init__(self):
+        super().__init__("Too Many Requests. Rate limited. Try after a while.")
--- a/yfinance/multi.py
+++ b/yfinance/multi.py
@@ -36,7 +36,7 @@ from . import shared

@utils.log_indent_decorator
 def download(tickers, start=None, end=None, actions=False, threads=True,
-             ignore_tz=None, group_by='column', auto_adjust=False, back_adjust=False,
+             ignore_tz=None, group_by='column', auto_adjust=None, back_adjust=False,
             repair=False, keepna=False, progress=True, period="max", interval="1d",
             prepost=False, proxy=None, rounding=False, timeout=10, session=None,
             multi_level_index=True) -> Union[_pd.DataFrame, None]:
@@ -65,7 +65,7 @@ def download(tickers, start=None, end=None, actions=False, threads=True,
            Include Pre and Post market data in results?
            Default is False
        auto_adjust: bool
-            Adjust all OHLC automatically? Default is False
+            Adjust all OHLC automatically? Default is True
        repair: bool
            Detect currency unit 100x mixups and attempt repair
            Default is False
@@ -93,6 +93,11 @@ def download(tickers, start=None, end=None, actions=False, threads=True,
    """
    logger = utils.get_yf_logger()

+    if auto_adjust is None:
+        # Warn users that default has changed to True
+        utils.print_once("YF.download() has changed argument auto_adjust default to True")
+        auto_adjust = True
+
    if logger.isEnabledFor(logging.DEBUG):
        if threads:
            # With DEBUG, each thread generates a lot of log messages.
@@ -106,7 +111,7 @@ def download(tickers, start=None, end=None, actions=False, threads=True,

    if ignore_tz is None:
        # Set default value depending on interval
-        if interval[1:] in ['m', 'h']:
+        if interval[-1] in ['m', 'h']:
            # Intraday
            ignore_tz = False
        else:
@@ -180,7 +185,7 @@ def download(tickers, start=None, end=None, actions=False, threads=True,
        errors = {}
        for ticker in shared._ERRORS:
            err = shared._ERRORS[ticker]
-            err = err.replace(f'{ticker}', '%ticker%')
+            err = err.replace(f'${ticker}: ', '')
            if err not in errors:
                errors[err] = [ticker]
            else:
@@ -192,7 +197,7 @@ def download(tickers, start=None, end=None, actions=False, threads=True,
        tbs = {}
        for ticker in shared._TRACEBACKS:
            tb = shared._TRACEBACKS[ticker]
-            tb = tb.replace(f'{ticker}', '%ticker%')
+            tb = tb.replace(f'${ticker}: ', '')
            if tb not in tbs:
                tbs[tb] = [ticker]
            else:
--- a/yfinance/scrapers/analysis.py
+++ b/yfinance/scrapers/analysis.py
@@ -28,6 +28,50 @@ class Analysis:
        self._eps_revisions = None
        self._growth_estimates = None

+    def _get_periodic_df(self, key) -> pd.DataFrame:
+        if self._earnings_trend is None:
+            self._fetch_earnings_trend()
+
+        data = []
+        for item in self._earnings_trend[:4]:
+            row = {'period': item['period']}
+            for k, v in item[key].items():
+                if not isinstance(v, dict) or len(v) == 0:
+                    continue
+                row[k] = v['raw']
+            data.append(row)
+        if len(data) == 0:
+            return pd.DataFrame()
+        return pd.DataFrame(data).set_index('period')
+
+    @property
+    def earnings_estimate(self) -> pd.DataFrame:
+        if self._earnings_estimate is not None:
+            return self._earnings_estimate
+        self._earnings_estimate = self._get_periodic_df('earningsEstimate')
+        return self._earnings_estimate
+
+    @property
+    def revenue_estimate(self) -> pd.DataFrame:
+        if self._revenue_estimate is not None:
+            return self._revenue_estimate
+        self._revenue_estimate = self._get_periodic_df('revenueEstimate')
+        return self._revenue_estimate
+
+    @property
+    def eps_trend(self) -> pd.DataFrame:
+        if self._eps_trend is not None:
+            return self._eps_trend
+        self._eps_trend = self._get_periodic_df('epsTrend')
+        return self._eps_trend
+
+    @property
+    def eps_revisions(self) -> pd.DataFrame:
+        if self._eps_revisions is not None:
+            return self._eps_revisions
+        self._eps_revisions = self._get_periodic_df('epsRevisions')
+        return self._eps_revisions
+
    @property
    def analyst_price_targets(self) -> dict:
        if self._analyst_price_targets is not None:
@@ -40,73 +84,17 @@ class Analysis:
            self._analyst_price_targets = {}
            return self._analyst_price_targets

-        keys = [
-            ('currentPrice', 'current'),
-            ('targetLowPrice', 'low'),
-            ('targetHighPrice', 'high'),
-            ('targetMeanPrice', 'mean'),
-            ('targetMedianPrice', 'median'),
-        ]
+        result = {}
+        for key, value in data.items():
+            if key.startswith('target'):
+                new_key = key.replace('target', '').lower().replace('price', '').strip()
+                result[new_key] = value
+            elif key == 'currentPrice':
+                result['current'] = value

-        self._analyst_price_targets = {newKey: data.get(oldKey, None) for oldKey, newKey in keys}
+        self._analyst_price_targets = result
        return self._analyst_price_targets

-    @property
-    def earnings_estimate(self) -> pd.DataFrame:
-        if self._earnings_estimate is not None:
-            return self._earnings_estimate
-
-        if self._earnings_trend is None:
-            self._fetch_earnings_trend()
-
-        data_dict = {
-            'numberOfAnalysts': [],
-            'avg': [],
-            'low': [],
-            'high': [],
-            'yearAgoEps': [],
-            'growth': []
-        }
-        periods = []
-
-        for item in self._earnings_trend[:4]:
-            periods.append(item['period'])
-            earnings_estimate = item.get('earningsEstimate', {})
-
-            for key in data_dict.keys():
-                data_dict[key].append(earnings_estimate.get(key, {}).get('raw', None))
-
-        self._earnings_estimate = pd.DataFrame(data_dict, index=periods)
-        return self._earnings_estimate
-
-    @property
-    def revenue_estimate(self) -> pd.DataFrame:
-        if self._revenue_estimate is not None:
-            return self._revenue_estimate
-
-        if self._earnings_trend is None:
-            self._fetch_earnings_trend()
-
-        data_dict = {
-            'numberOfAnalysts': [],
-            'avg': [],
-            'low': [],
-            'high': [],
-            'yearAgoRevenue': [],
-            'growth': []
-        }
-        periods = []
-
-        for item in self._earnings_trend[:4]:
-            periods.append(item['period'])
-            revenue_estimate = item.get('revenueEstimate', {})
-
-            for key in data_dict.keys():
-                data_dict[key].append(revenue_estimate.get(key, {}).get('raw', None))
-
-        self._revenue_estimate = pd.DataFrame(data_dict, index=periods)
-        return self._revenue_estimate
-
    @property
    def earnings_history(self) -> pd.DataFrame:
        if self._earnings_history is not None:
@@ -119,77 +107,27 @@ class Analysis:
            self._earnings_history = pd.DataFrame()
            return self._earnings_history

-        data_dict = {
-            'epsEstimate': [],
-            'epsActual': [],
-            'epsDifference': [],
-            'surprisePercent': []
-        }
-        quarters = []
-
+        rows = []
        for item in data:
-            quarters.append(item.get('quarter', {}).get('fmt', None))
+            row = {'quarter': item.get('quarter', {}).get('fmt', None)}
+            for k, v in item.items():
+                if k == 'quarter':
+                    continue
+                if not isinstance(v, dict) or len(v) == 0:
+                    continue
+                row[k] = v.get('raw', None)
+            rows.append(row)
+        if len(data) == 0:
+            return pd.DataFrame()

-            for key in data_dict.keys():
-                data_dict[key].append(item.get(key, {}).get('raw', None))
-        
-        datetime_index = pd.to_datetime(quarters, format='%Y-%m-%d')
-        self._earnings_history = pd.DataFrame(data_dict, index=datetime_index)
+        df = pd.DataFrame(rows)
+        if 'quarter' in df.columns:
+            df['quarter'] = pd.to_datetime(df['quarter'], format='%Y-%m-%d')
+            df.set_index('quarter', inplace=True)
+
+        self._earnings_history = df
        return self._earnings_history

-    @property
-    def eps_trend(self) -> pd.DataFrame:
-        if self._eps_trend is not None:
-            return self._eps_trend
-
-        if self._earnings_trend is None:
-            self._fetch_earnings_trend()
-
-        data_dict = {
-            'current': [],
-            '7daysAgo': [],
-            '30daysAgo': [],
-            '60daysAgo': [],
-            '90daysAgo': []
-        }
-        periods = []
-
-        for item in self._earnings_trend[:4]:
-            periods.append(item['period'])
-            eps_trend = item.get('epsTrend', {})
-
-            for key in data_dict.keys():
-                data_dict[key].append(eps_trend.get(key, {}).get('raw', None))
-
-        self._eps_trend = pd.DataFrame(data_dict, index=periods)
-        return self._eps_trend
-
-    @property
-    def eps_revisions(self) -> pd.DataFrame:
-        if self._eps_revisions is not None:
-            return self._eps_revisions
-
-        if self._earnings_trend is None:
-            self._fetch_earnings_trend()
-
-        data_dict = {
-            'upLast7days': [],
-            'upLast30days': [],
-            'downLast7days': [],
-            'downLast30days': []
-        }
-        periods = []
-
-        for item in self._earnings_trend[:4]:
-            periods.append(item['period'])
-            eps_revisions = item.get('epsRevisions', {})
-
-            for key in data_dict.keys():
-                data_dict[key].append(eps_revisions.get(key, {}).get('raw', None))
-
-        self._eps_revisions = pd.DataFrame(data_dict, index=periods)
-        return self._eps_revisions
-
    @property
    def growth_estimates(self) -> pd.DataFrame:
        if self._growth_estimates is not None:
@@ -205,48 +143,26 @@ class Analysis:
            self._growth_estimates = pd.DataFrame()
            return self._growth_estimates

-        # LTG is not defined in yahoo finance front-end as at 2024-11-14.
-        # But its addition is breaking the retrieval of growth estimates.
-        # Also, support for 5 year seem to have dropped.
-        # TODO: Revisit this change and consider permanently removing these keys.
-        data_dict = {
-            '0q': [],
-            '+1q': [],
-            '0y': [],
-            '+1y': [],
-            # 'LTG': [],
-            # '+5y': [],
-            # '-5y': []
-        }
-
-        # make sure no column is empty
-        dummy_trend = [{'period': key, 'growth': None} for key in data_dict.keys()]
-        industry_trend = trends['industryTrend']['estimates'] or dummy_trend
-        sector_trend = trends['sectorTrend']['estimates'] or dummy_trend
-        index_trend = trends['indexTrend']['estimates'] or dummy_trend
-
+        data = []
        for item in self._earnings_trend:
            period = item['period']
-            if period in data_dict:
-                data_dict[period].append(item.get('growth', {}).get('raw', None))
+            row = {'period': period, 'stockTrend': item.get('growth', {}).get('raw', None)}
+            data.append(row)

-        for item in industry_trend:
-            period = item['period']
-            if period in data_dict:
-                data_dict[period].append(item.get('growth', None))
+        for trend_name, trend_info in trends.items():
+            if trend_info.get('estimates'):
+                for estimate in trend_info['estimates']:
+                    period = estimate['period']
+                    existing_row = next((row for row in data if row['period'] == period), None)
+                    if existing_row:
+                        existing_row[trend_name] = estimate.get('growth')
+                    else:
+                        row = {'period': period, trend_name: estimate.get('growth')}
+                        data.append(row)
+        if len(data) == 0:
+            return pd.DataFrame()

-        for item in sector_trend:
-            period = item['period']
-            if period in data_dict:
-                data_dict[period].append(item.get('growth', None))
-
-        for item in index_trend:
-            period = item['period']
-            if period in data_dict:
-                data_dict[period].append(item.get('growth', None))
-
-        cols = ['stock', 'industry', 'sector', 'index']
-        self._growth_estimates = pd.DataFrame(data_dict, index=cols).T
+        self._growth_estimates = pd.DataFrame(data).set_index('period').dropna(how='all')
        return self._growth_estimates

    # modified version from quote.py
--- a/yfinance/scrapers/fundamentals.py
+++ b/yfinance/scrapers/fundamentals.py
@@ -73,12 +73,15 @@ class Financials:
        # despite 'QuoteSummaryStore' containing valid data.

        allowed_names = ["income", "balance-sheet", "cash-flow"]
-        allowed_timescales = ["yearly", "quarterly"]
+        allowed_timescales = ["yearly", "quarterly", "trailing"]

        if name not in allowed_names:
            raise ValueError(f"Illegal argument: name must be one of: {allowed_names}")
        if timescale not in allowed_timescales:
            raise ValueError(f"Illegal argument: timescale must be one of: {allowed_timescales}")
+        if timescale == "trailing" and name not in ('income', 'cash-flow'):
+            raise ValueError("Illegal argument: frequency 'trailing'" +
+                             " only available for cash-flow or income data.")

        try:
            statement = self._create_financials_table(name, timescale, proxy)
@@ -102,7 +105,7 @@ class Financials:
            pass

    def get_financials_time_series(self, timescale, keys: list, proxy=None) -> pd.DataFrame:
-        timescale_translation = {"yearly": "annual", "quarterly": "quarterly"}
+        timescale_translation = {"yearly": "annual", "quarterly": "quarterly", "trailing": "trailing"}
        timescale = timescale_translation[timescale]

        # Step 2: construct url:
@@ -145,4 +148,8 @@ class Financials:
        df = df.reindex([k for k in keys if k in df.index])
        df = df[sorted(df.columns, reverse=True)]

+        # Trailing 12 months return only the first column.
+        if (timescale == "trailing"):
+            df = df.iloc[:, [0]]
+
        return df
--- a/yfinance/scrapers/history.py
+++ b/yfinance/scrapers/history.py
@@ -9,7 +9,7 @@ import bisect

 from yfinance import shared, utils
 from yfinance.const import _BASE_URL_, _PRICE_COLNAMES_
-from yfinance.exceptions import YFInvalidPeriodError, YFPricesMissingError, YFTzMissingError
+from yfinance.exceptions import YFInvalidPeriodError, YFPricesMissingError, YFTzMissingError, YFRateLimitError

 class PriceHistory:
    def __init__(self, data, ticker, tz, session=None, proxy=None):
@@ -19,7 +19,7 @@ class PriceHistory:
        self.proxy = proxy
        self.session = session

-        self._history = None
+        self._history_cache = {}
        self._history_metadata = None
        self._history_metadata_formatted = False

@@ -78,7 +78,7 @@ class PriceHistory:

        interval_user = interval
        period_user = period
-        if repair and interval in ['5d', '1wk', '1mo', '3mo']:
+        if repair and interval in ["5d", "1wk", "1mo", "3mo"]:
            # Yahoo's way of adjusting mutiday intervals is fundamentally broken.
            # Have to fetch 1d, adjust, then resample.
            if interval == '5d':
@@ -184,6 +184,9 @@ class PriceHistory:
                                   "the issue. Thank you for your patience.")

            data = data.json()
+        # Special case for rate limits
+        except YFRateLimitError:
+            raise
        except Exception:
            if raise_errors:
                raise
@@ -229,10 +232,9 @@ class PriceHistory:
        elif "chart" not in data or data["chart"]["result"] is None or not data["chart"]["result"] or not data["chart"]["result"][0]["indicators"]["quote"][0]:
            _exception = YFPricesMissingError(self.ticker, _price_data_debug)
            fail = True
-        elif period is not None and period not in self._history_metadata["validRanges"]:
-            # even if timestamp is in the data, the data doesn't encompass the period requested
-            # User provided a bad period. The minimum should be '1d', but sometimes Yahoo accepts '1h'.
-            _exception = YFInvalidPeriodError(self.ticker, period, self._history_metadata['validRanges'])
+        elif period and period not in self._history_metadata['validRanges'] and not utils.is_valid_period_format(period):
+            # User provided a bad period
+            _exception = YFInvalidPeriodError(self.ticker, period, ", ".join(self._history_metadata['validRanges']))
            fail = True

        if fail:
@@ -247,6 +249,13 @@ class PriceHistory:
                self._reconstruct_start_interval = None
            return utils.empty_df()

+        # Process custom periods
+        if period and period not in self._history_metadata.get("validRanges", []):
+            end = int(_time.time())
+            start = _datetime.date.fromtimestamp(end)
+            start -= utils._interval_to_timedelta(period)
+            start -= _datetime.timedelta(days=4)
+
        # parse quotes
        quotes = utils.parse_quotes(data["chart"]["result"][0])
        # Yahoo bug fix - it often appends latest price even if after end date
@@ -430,8 +439,6 @@ class PriceHistory:
        else:
            df.index.name = "Date"

-        self._history = df.copy()
-
        # missing rows cleanup
        if not actions:
            df = df.drop(columns=["Dividends", "Stock Splits", "Capital Gains"], errors='ignore')
@@ -456,10 +463,19 @@ class PriceHistory:
            self._reconstruct_start_interval = None
        return df

+    def _get_history_cache(self, period="max", interval="1d", proxy=None) -> pd.DataFrame:
+        cache_key = (interval, period)
+        if cache_key in self._history_cache:
+            return self._history_cache[cache_key]
+
+        df = self.history(period=period, interval=interval, prepost=True, proxy=proxy)
+        self._history_cache[cache_key] = df
+        return df
+
    def get_history_metadata(self, proxy=None) -> dict:
-        if self._history_metadata is None:
-            # Request intraday data, because then Yahoo returns exchange schedule.
-            self.history(period="5d", interval="1h", prepost=True, proxy=proxy)
+        if self._history_metadata is None or 'tradingPeriods' not in self._history_metadata:
+            # Request intraday data, because then Yahoo returns exchange schedule (tradingPeriods).
+            self._get_history_cache(period="5d", interval="1h", proxy=proxy)

        if self._history_metadata_formatted is False:
            self._history_metadata = utils.format_history_metadata(self._history_metadata)
@@ -467,38 +483,40 @@ class PriceHistory:

        return self._history_metadata

-    def get_dividends(self, proxy=None) -> pd.Series:
-        if self._history is None:
-            self.history(period="max", proxy=proxy)
-        if self._history is not None and "Dividends" in self._history:
-            dividends = self._history["Dividends"]
+    def get_dividends(self, period="max", proxy=None) -> pd.Series:
+        df = self._get_history_cache(period=period, proxy=proxy)
+        if "Dividends" in df.columns:
+            dividends = df["Dividends"]
            return dividends[dividends != 0]
        return pd.Series()

-    def get_capital_gains(self, proxy=None) -> pd.Series:
-        if self._history is None:
-            self.history(period="max", proxy=proxy)
-        if self._history is not None and "Capital Gains" in self._history:
-            capital_gains = self._history["Capital Gains"]
+    def get_capital_gains(self, period="max", proxy=None) -> pd.Series:
+        df = self._get_history_cache(period=period, proxy=proxy)
+        if "Capital Gains" in df.columns:
+            capital_gains = df["Capital Gains"]
            return capital_gains[capital_gains != 0]
        return pd.Series()

-    def get_splits(self, proxy=None) -> pd.Series:
-        if self._history is None:
-            self.history(period="max", proxy=proxy)
-        if self._history is not None and "Stock Splits" in self._history:
-            splits = self._history["Stock Splits"]
+    def get_splits(self, period="max", proxy=None) -> pd.Series:
+        df = self._get_history_cache(period=period, proxy=proxy)
+        if "Stock Splits" in df.columns:
+            splits = df["Stock Splits"]
            return splits[splits != 0]
        return pd.Series()

-    def get_actions(self, proxy=None) -> pd.Series:
-        if self._history is None:
-            self.history(period="max", proxy=proxy)
-        if self._history is not None and "Dividends" in self._history and "Stock Splits" in self._history:
-            action_columns = ["Dividends", "Stock Splits"]
-            if "Capital Gains" in self._history:
-                action_columns.append("Capital Gains")
-            actions = self._history[action_columns]
+    def get_actions(self, period="max", proxy=None) -> pd.Series:
+        df = self._get_history_cache(period=period, proxy=proxy)
+
+        action_columns = []
+        if "Dividends" in df.columns:
+            action_columns.append("Dividends")
+        if "Stock Splits" in df.columns:
+            action_columns.append("Stock Splits")
+        if "Capital Gains" in df.columns:
+            action_columns.append("Capital Gains")
+
+        if action_columns:
+            actions = df[action_columns]
            return actions[actions != 0].dropna(how='all').fillna(0)
        return pd.Series()

@@ -1295,7 +1313,7 @@ class PriceHistory:

        if df is None or df.empty:
            return df
-        if interval != '1d':
+        if interval in ['1wk', '1mo', '3mo', '1y']:
            return df

        logger = utils.get_yf_logger()
@@ -1605,9 +1623,9 @@ class PriceHistory:
        checks += ['adj_missing', 'adj_exceeds_div', 'div_exceeds_adj']

        div_status_df['phantom'] = False
-        phantom_proximity_threshold = _datetime.timedelta(days=7)
+        phantom_proximity_threshold = _datetime.timedelta(days=17)
        f = div_status_df[['div_too_big', 'div_exceeds_adj']].any(axis=1)
-        if f.any():
+        if f.any() and len(div_status_df) > 1:
            # One/some of these may be phantom dividends. Clue is if another correct dividend is very close
            indices = np.where(f)[0]
            dts_to_check = div_status_df.index[f]
@@ -1616,37 +1634,24 @@ class PriceHistory:
                div_dt = div.name
                phantom_dt = None
                if i > 0:
-                    prev_div = div_status_df.iloc[i-1]
-                    ratio1 = (div['div']/currency_divide) / prev_div['div']
-                    ratio2 = div['div'] / prev_div['div']
-                    divergence = min(abs(ratio1-1.0), abs(ratio2-1.0))
-                    if abs(div_dt-prev_div.name) <= phantom_proximity_threshold and not prev_div['phantom'] and divergence < 0.01:
-                        if prev_div.name in dts_to_check:
-                            # Both this and previous are anomalous, so mark smallest drop as phantom
-                            drop = div['drop']
-                            drop_prev = prev_div['drop']
-                            if drop > 1.5*drop_prev:
-                                phantom_dt = prev_div.name
-                            else:
-                                phantom_dt = div_dt
-                        else:
-                            phantom_dt = div_dt
-                elif i < len(div_status_df)-1:
-                    next_div = div_status_df.iloc[i+1]
-                    ratio1 = (div['div']/currency_divide) / next_div['div']
-                    ratio2 = div['div'] / next_div['div']
-                    divergence = min(abs(ratio1-1.0), abs(ratio2-1.0))
-                    if abs(div_dt-next_div.name) <= phantom_proximity_threshold and divergence < 0.01:
-                        if next_div.name in dts_to_check:
-                            # Both this and previous are anomalous, so mark smallest drop as phantom
-                            drop = div['drop']
-                            drop_next = next_div['drop']
-                            if drop > 1.5*drop_next:
-                                phantom_dt = next_div.name
-                            else:
-                                phantom_dt = div_dt
+                    other_div = div_status_df.iloc[i-1]
+                else:
+                    other_div = div_status_df.iloc[i+1]
+                ratio1 = (div['div']/currency_divide) / other_div['div']
+                ratio2 = div['div'] / other_div['div']
+                divergence = min(abs(ratio1-1.0), abs(ratio2-1.0))
+                if abs(div_dt-other_div.name) <= phantom_proximity_threshold and not other_div['phantom'] and divergence < 0.01:
+                    if other_div.name in dts_to_check:
+                        # Both this and previous are anomalous, so mark smallest drop as phantom
+                        drop = div['drop']
+                        drop_next = other_div['drop']
+                        if drop > 1.5*drop_next:
+                            phantom_dt = other_div.name
                        else:
                            phantom_dt = div_dt
+                    else:
+                        phantom_dt = div_dt
+
                if phantom_dt:
                    div_status_df.loc[phantom_dt, 'phantom'] = True
                    for c in checks:
@@ -1745,7 +1750,7 @@ class PriceHistory:
            lookahead_idx = bisect.bisect_left(df2.index, lookahead_date)
            lookahead_idx = min(lookahead_idx, len(df2)-1)
            # In rare cases, the price dropped 1 day before dividend (DVD.OL @ 2024-05-15)
-            lookback_idx = div_idx-2 if div_idx > 1 else div_idx-1
+            lookback_idx = max(0, div_idx-14)
            # Check for bad stock splits in the lookahead period - 
            # if present, reduce lookahead to before.
            future_changes = df2['Close'].iloc[div_idx:lookahead_idx+1].pct_change()
@@ -1767,8 +1772,6 @@ class PriceHistory:
                adjDeltas = x['Adj Low'].iloc[1:].to_numpy() - x['Adj Close'].iloc[:-1].to_numpy()
                adjDeltas = np.append([0.0], adjDeltas)
                x['adjDelta'] = adjDeltas
-                for i in np.where(x['Dividends']>0)[0]:
-                    x.loc[x.index[i], 'adjDelta'] += x['Dividends'].iloc[i]*x['Adj'].iloc[i]
                deltas = x[['delta', 'adjDelta']]
                if div_pct > 0.05 and div_pct < 1.0:
                    adjDiv = div * x['Adj'].iloc[0]
@@ -1903,7 +1906,7 @@ class PriceHistory:
                pct_fail = n_fail / n
                if c == 'div_too_big':
                    true_threshold = 1.0
-                    fals_threshold = 0.2
+                    fals_threshold = 0.25

                    if 'div_date_wrong' in cluster.columns and (cluster[c] == cluster['div_date_wrong']).all():
                        continue
@@ -1982,10 +1985,42 @@ class PriceHistory:
                if c == 'div_date_wrong':
                    # Fine, these should be rare
                    continue
-                if c == 'div_pre_split':
+                if c in ['div_pre_split', 'div_too_big_and_pre_split']:
                    # Fine, these should be rare
                    continue

+        if 'div_too_big' in checks and 'div_exceeds_adj' in checks:
+            c = "adj_too_small"
+            div_status_df[c] = False
+            for i in range(len(div_status_df)):
+                dt = div_status_df.index[i]
+                row = div_status_df.iloc[i]
+                if row['div_too_big'] and row['div_exceeds_adj']:
+                    # Check if div_too_big AND adj-too-small-for-prices
+                    div_yield = row['div']
+                    pct = row['%']
+                    close = div_yield/pct
+                    adj_present = row['present adj']
+                    implied_div_yield = (1-adj_present)*close
+                    ratio = div_yield/implied_div_yield
+                    also_correct_adj = abs(ratio-(currency_divide*currency_divide)) < currency_divide
+                    if also_correct_adj:
+                        div_status_df.loc[dt, c] = True
+            if not div_status_df[c].any():
+                div_status_df = div_status_df.drop(c, axis=1)
+            else:
+                checks.append(c)
+
+        if 'div_too_big_and_pre_split' in div_status_df.columns:
+            for c in ['div_too_big', 'div_pre_split']:
+                if c in div_status_df:
+                    div_status_df[c] = div_status_df[c] | div_status_df['div_too_big_and_pre_split']
+                else:
+                    div_status_df[c] = div_status_df['div_too_big_and_pre_split']
+                    checks.append(c)
+            div_status_df = div_status_df.drop('div_too_big_and_pre_split', axis=1)
+            checks.remove('div_too_big_and_pre_split')
+
        div_status_df = div_status_df.sort_index()

        # Discard dividends with no problems
@@ -2017,6 +2052,7 @@ class PriceHistory:
                # div_too_small_and_pre_split = 'div_too_small_and_pre_split' in row and row['div_too_small_and_pre_split']  # not happened yet
                # div_too_big_and_pre_split = 'div_too_big_and_pre_split' in row and row['div_too_big_and_pre_split']  # not happened yet
                div_date_wrong = 'div_date_wrong' in row and row['div_date_wrong']
+                adj_too_small = 'adj_too_small' in row and row['adj_too_small']
                n_failed_checks = np.sum([row[c] for c in checks if c in row])

                if div_too_big and adj_exceeds_prices and n_failed_checks == 2:
@@ -2182,23 +2218,13 @@ class PriceHistory:
                        cluster.loc[dt, 'Fixed?'] = True

                    elif div_too_big and div_exceeds_adj:
+                        div = row['div']
+                        close = div/row['%']
+                        adj_present = row['present adj']
                        # Adj Close is correct, just need to fix Dividend.
                        # Probably just a currency unit mixup.
                        df2.loc[dt, 'Dividends'] /= currency_divide
-                        k = 'too-big div'
-                        if 'FX was repaired' in row and row['FX was repaired']:
-                            # Complication: not just a currency unit mixup, but
-                            # mixed up the local currency with $. So need to 
-                            # recalculate adjustment.
-                            msg = None
-                            div_adj = 1.0 - (row['%']/currency_divide)
-                            adj_correction = div_adj / row['present adj']
-                            df2.loc[    :enddt, 'Adj Close'] *= adj_correction
-                            df2.loc[    :enddt, 'Repaired?'] = True
-                            df2_nan.loc[:enddt, 'Adj Close'] *= adj_correction
-                            df2_nan.loc[:enddt, 'Repaired?'] = True
-                            # Currently not logging this FX-fix event, since I refactored fixing.
-                            k += " and FX mixup"
+                        k = 'div-too-big'
                        div_repairs.setdefault(k, []).append(dt)
                        cluster.loc[dt, 'Fixed?'] = True

@@ -2218,6 +2244,68 @@ class PriceHistory:
                        df2_nan.loc[:enddt, 'Repaired?'] = True
                        cluster.loc[dt, 'Fixed?'] = True

+                    elif div_too_small and adj_exceeds_div:
+                        # Adj Close is correct, just need to fix Dividend.
+                        # Probably just a currency unit mixup.
+                        df2.loc[dt, 'Dividends'] *= currency_divide
+                        k = 'too-small div'
+                        if 'FX was repaired' in row and row['FX was repaired']:
+                            # Complication: not just a currency unit mixup, but
+                            # mixed up the local currency with $. So need to 
+                            # recalculate adjustment.
+                            msg = None
+                            div_adj = 1.0 - (row['%']*currency_divide)
+                            adj_correction = div_adj / row['present adj']
+                            df2.loc[    :enddt, 'Adj Close'] *= adj_correction
+                            df2.loc[    :enddt, 'Repaired?'] = True
+                            df2_nan.loc[:enddt, 'Adj Close'] *= adj_correction
+                            df2_nan.loc[:enddt, 'Repaired?'] = True
+                            # Currently not logging this FX-fix event, since I refactored fixing.
+                            k += " and FX mixup"
+                        div_repairs.setdefault(k, []).append(dt)
+                        cluster.loc[dt, 'Fixed?'] = True
+
+                elif n_failed_checks == 3:
+                    if div_too_big and div_exceeds_adj and div_pre_split:
+                        k = 'too-big div & pre-split'
+                        correction = (1.0/currency_divide) * (1.0/df2['Stock Splits'].loc[dt])
+                        correct_div = row['div'] * correction
+                        df2.loc[dt, 'Dividends'] = correct_div
+
+                        target_div_pct = row['%'] * correction
+                        target_adj = 1.0 - target_div_pct
+                        present_adj = row['present adj']
+                        # Also correct adjustment to match corrected dividend
+                        k += ' & div-adjust'
+                        adj_correction = target_adj / present_adj
+                        df2.loc[    :enddt, 'Adj Close'] *= adj_correction
+                        df2.loc[    :enddt, 'Repaired?'] = True
+                        df2_nan.loc[:enddt, 'Adj Close'] *= adj_correction
+                        df2_nan.loc[:enddt, 'Repaired?'] = True
+                        cluster.loc[dt, 'Fixed?'] = True
+                        div_repairs.setdefault(k, []).append(dt)
+
+                    elif div_too_big and div_exceeds_adj and adj_too_small:
+                        # Need to fix dividend AND adj close.
+                        # Probably just a currency unit mixup.
+                        div = row['div']
+                        close = div/row['%']
+                        adj_present = row['present adj']
+                        k = 'div-too-big and adj-too-small'
+                        #
+                        div_true = div/currency_divide
+                        pct_true = div_true / close
+                        df2.loc[dt, 'Dividends'] = div_true
+                        #
+                        adj_correct = 1.0 - pct_true
+                        adj_correction = adj_correct / adj_present
+                        df2.loc[    :enddt, 'Adj Close'] *= adj_correction
+                        df2.loc[    :enddt, 'Repaired?'] = True
+                        df2_nan.loc[:enddt, 'Adj Close'] *= adj_correction
+                        df2_nan.loc[:enddt, 'Repaired?'] = True
+                        div_repairs.setdefault(k, []).append(dt)
+                        cluster.loc[dt, 'Fixed?'] = True
+
            if cluster.empty:
                continue

@@ -2381,7 +2469,12 @@ class PriceHistory:

        # Update: if a VERY large dividend is paid out, then can be mistaken for a 1:2 stock split.
        # Fix = use adjusted prices
-        adj = df2['Adj Close'].to_numpy() / df2['Close'].to_numpy()
+        f_zero = df2['Close'] == 0
+        if f_zero.any():
+            adj = np.ones(len(df2))
+            adj[~f_zero] = df2['Adj Close'].to_numpy()[~f_zero] / df2['Close'].to_numpy()[~f_zero]
+        else:
+            adj = df2['Adj Close'].to_numpy() / df2['Close'].to_numpy()
        df_dtype = price_data.dtype
        if df_dtype == np.int64:
            price_data = price_data.astype('float')
@@ -2473,14 +2566,14 @@ class PriceHistory:

        r = _1d_change_x / split_rcp
        f_down = _1d_change_x < 1.0 / threshold
-        if f_down.any():
-            # Discard where triggered by negative Adj Close after dividend
-            f_neg = _1d_change_x < 0.0
-            f_div = (df2['Dividends']>0).to_numpy()
-            f_div_before = np.roll(f_div, 1)
-            if f_down.ndim == 2:
-                f_div_before = f_div_before[:, np.newaxis].repeat(f_down.shape[1], axis=1)
-            f_down = f_down & ~(f_neg + f_div_before)
+        # if f_down.any():
+        #     # Discard where triggered by negative Adj Close after dividend
+        #     f_neg = _1d_change_x < 0.0
+        #     f_div = (df2['Dividends']>0).to_numpy()
+        #     f_div_before = np.roll(f_div, 1)
+        #     if f_down.ndim == 2:
+        #         f_div_before = f_div_before[:, np.newaxis].repeat(f_down.shape[1], axis=1)
+        #     f_down = f_down & ~(f_neg + f_div_before)
        f_up = _1d_change_x > threshold
        f_up_ndims = len(f_up.shape)
        f_up_shifts = f_up if f_up_ndims==1 else f_up.any(axis=1)
@@ -2503,7 +2596,7 @@ class PriceHistory:
                        # assume false positive
                        continue
                    avg_vol_after = df2['Volume'].iloc[lookback:i-1].mean()
-                    if not np.isnan(avg_vol_after) and v/avg_vol_after < 2.0:
+                    if not np.isnan(avg_vol_after) and avg_vol_after > 0 and v/avg_vol_after < 2.0:
                        # volume spike is actually a step-change, so 
                        # probably missing stock split
                        continue
@@ -2550,7 +2643,13 @@ class PriceHistory:
                    threshold = _dateutil.relativedelta.relativedelta(days=threshold_days)
                else:
                    threshold = _datetime.timedelta(days=threshold_days)
-                if gap_td < threshold:
+                if isinstance(threshold, _dateutil.relativedelta.relativedelta) and isinstance(gap_td, _dateutil.relativedelta.relativedelta):
+                    idx = np.where(gaps==gap_min)[0][0]
+                    dt = df2.index[idx]
+                    within_threshold = (dt + gap_td) < (dt + threshold)
+                else:
+                    within_threshold = gap_td < threshold
+                if within_threshold:
                    logger.info('100x changes are too soon after stock split events, aborting', extra=log_extras)
                    return df

--- a/yfinance/scrapers/holders.py
+++ b/yfinance/scrapers/holders.py
@@ -1,5 +1,3 @@
-# from io import StringIO
-
 import pandas as pd
 import requests

@@ -8,7 +6,7 @@ from yfinance.data import YfData
 from yfinance.const import _BASE_URL_
 from yfinance.exceptions import YFDataException

-_QUOTE_SUMMARY_URL_ = f"{_BASE_URL_}/v10/finance/quoteSummary/"
+_QUOTE_SUMMARY_URL_ = f"{_BASE_URL_}/v10/finance/quoteSummary"


 class Holders:
@@ -31,42 +29,36 @@ class Holders:
    @property
    def major(self) -> pd.DataFrame:
        if self._major is None:
-            # self._scrape(self.proxy)
            self._fetch_and_parse()
        return self._major

    @property
    def institutional(self) -> pd.DataFrame:
        if self._institutional is None:
-            # self._scrape(self.proxy)
            self._fetch_and_parse()
        return self._institutional

    @property
    def mutualfund(self) -> pd.DataFrame:
        if self._mutualfund is None:
-            # self._scrape(self.proxy)
            self._fetch_and_parse()
        return self._mutualfund

    @property
    def insider_transactions(self) -> pd.DataFrame:
        if self._insider_transactions is None:
-            # self._scrape_insider_transactions(self.proxy)
            self._fetch_and_parse()
        return self._insider_transactions

    @property
    def insider_purchases(self) -> pd.DataFrame:
        if self._insider_purchases is None:
-            # self._scrape_insider_transactions(self.proxy)
            self._fetch_and_parse()
        return self._insider_purchases

    @property
    def insider_roster(self) -> pd.DataFrame:
        if self._insider_roster is None:
-            # self._scrape_insider_ros(self.proxy)
            self._fetch_and_parse()
        return self._insider_roster

@@ -187,8 +179,10 @@ class Holders:
            del owner["maxAge"]
        df = pd.DataFrame(holders)
        if not df.empty:
-            df["positionDirectDate"] = pd.to_datetime(df["positionDirectDate"], unit="s")
-            df["latestTransDate"] = pd.to_datetime(df["latestTransDate"], unit="s")
+            if "positionDirectDate" in df:
+                df["positionDirectDate"] = pd.to_datetime(df["positionDirectDate"], unit="s")
+            if "latestTransDate" in df:
+                df["latestTransDate"] = pd.to_datetime(df["latestTransDate"], unit="s")

            df.rename(columns={
                "name": "Name",
--- a/yfinance/scrapers/quote.py
+++ b/yfinance/scrapers/quote.py
@@ -7,7 +7,7 @@ import requests

 from yfinance import utils
 from yfinance.data import YfData
-from yfinance.const import quote_summary_valid_modules, _BASE_URL_
+from yfinance.const import quote_summary_valid_modules, _BASE_URL_, _QUERY1_URL_
 from yfinance.exceptions import YFDataException, YFException

 info_retired_keys_price = {"currentPrice", "dayHigh", "dayLow", "open", "previousClose", "volume", "volume24Hr"}
@@ -590,33 +590,56 @@ class Quote:
            return None
        return result

+    def _fetch_additional_info(self, proxy):
+        params_dict = {"symbols": self._symbol, "formatted": "false"}
+        try:
+            result = self._data.get_raw_json(f"{_QUERY1_URL_}/v7/finance/quote?",
+                                             user_agent_headers=self._data.user_agent_headers,
+                                             params=params_dict, proxy=proxy)
+        except requests.exceptions.HTTPError as e:
+            utils.get_yf_logger().error(str(e))
+            return None
+        return result
+
    def _fetch_info(self, proxy):
        if self._already_fetched:
            return
        self._already_fetched = True
        modules = ['financialData', 'quoteType', 'defaultKeyStatistics', 'assetProfile', 'summaryDetail']
        result = self._fetch(proxy, modules=modules)
+        result.update(self._fetch_additional_info(proxy))
        if result is None:
            self._info = {}
            return

-        result["quoteSummary"]["result"][0]["symbol"] = self._symbol
-        query1_info = next(
-            (info for info in result.get("quoteSummary", {}).get("result", []) if info["symbol"] == self._symbol),
-            None,
-        )
-        # Most keys that appear in multiple dicts have same value. Except 'maxAge' because
-        # Yahoo not consistent with days vs seconds. Fix it here:
-        for k in query1_info:
-            if "maxAge" in query1_info[k] and query1_info[k]["maxAge"] == 1:
-                query1_info[k]["maxAge"] = 86400
-        query1_info = {
-            k1: v1
-            for k, v in query1_info.items()
-            if isinstance(v, dict)
-            for k1, v1 in v.items()
-            if v1
-        }
+        query1_info = {}
+        for quote in ["quoteSummary", "quoteResponse"]:
+            if quote in result and len(result[quote]["result"]) > 0:
+                result[quote]["result"][0]["symbol"] = self._symbol
+                query_info = next(
+                    (info for info in result.get(quote, {}).get("result", [])
+                    if info["symbol"] == self._symbol),
+                    None,
+                )
+                if query_info:
+                    query1_info.update(query_info)
+
+        # Normalize and flatten nested dictionaries while converting maxAge from days (1) to seconds (86400).
+        # This handles Yahoo Finance API inconsistency where maxAge is sometimes expressed in days instead of seconds.
+        processed_info = {}
+        for k, v in query1_info.items():
+
+            # Handle nested dictionary
+            if isinstance(v, dict):
+                for k1, v1 in v.items():
+                    if v1 is not None:
+                        processed_info[k1] = 86400 if k1 == "maxAge" and v1 == 1 else v1
+
+            elif v is not None:
+                processed_info[k] = v
+
+        query1_info = processed_info
+
        # recursively format but only because of 'companyOfficers'

        def _format(k, v):
@@ -631,9 +654,8 @@ class Quote:
            else:
                v2 = v
            return v2
-        for k, v in query1_info.items():
-            query1_info[k] = _format(k, v)
-        self._info = query1_info
+
+        self._info = {k: _format(k, v) for k, v in query1_info.items()}

    def _fetch_complementary(self, proxy):
        if self._already_fetched_complementary:
--- a/yfinance/screener/init.py
+++ b/yfinance/screener/init.py
@@ -1,4 +1,4 @@
-from .screener import Screener
-from .screener_query import EquityQuery
+from .query import EquityQuery
+from .screener import screen, PREDEFINED_SCREENER_QUERIES

-__all__ = ['EquityQuery', 'Screener']
+__all__ = ['EquityQuery', 'FundQuery', 'screen', 'PREDEFINED_SCREENER_QUERIES']
--- a/yfinance/screener/query.py
+++ b/yfinance/screener/query.py
@@ -0,0 +1,218 @@
+from abc import ABC, abstractmethod
+import numbers
+from typing import List, Union, Dict, TypeVar, Tuple
+
+from yfinance.const import EQUITY_SCREENER_EQ_MAP, EQUITY_SCREENER_FIELDS
+from yfinance.const import FUND_SCREENER_EQ_MAP, FUND_SCREENER_FIELDS
+from yfinance.exceptions import YFNotImplementedError
+from ..utils import dynamic_docstring, generate_list_table_from_dict_universal
+
+T = TypeVar('T', bound=Union[str, numbers.Real])
+
+class QueryBase(ABC):
+    def __init__(self, operator: str, operand: Union[ List['QueryBase'], Tuple[str, Tuple[Union[str, numbers.Real],  ...]] ]):
+        operator = operator.upper()
+
+        if not isinstance(operand, list):
+            raise TypeError('Invalid operand type')
+        if len(operand) <= 0:
+            raise ValueError('Invalid field for EquityQuery')
+            
+        if operator == 'IS-IN':
+            self._validate_isin_operand(operand)
+        elif operator in {'OR','AND'}: 
+            self._validate_or_and_operand(operand)
+        elif operator == 'EQ': 
+            self._validate_eq_operand(operand)
+        elif operator == 'BTWN': 
+            self._validate_btwn_operand(operand)
+        elif operator in {'GT','LT','GTE','LTE'}: 
+            self._validate_gt_lt(operand)
+        else: 
+            raise ValueError('Invalid Operator Value')
+
+        self.operator = operator
+        self.operands = operand
+
+    @property
+    @abstractmethod
+    def valid_fields(self) -> List:
+        raise YFNotImplementedError('valid_fields() needs to be implemented by child')
+
+    @property
+    @abstractmethod
+    def valid_values(self) -> Dict:
+        raise YFNotImplementedError('valid_values() needs to be implemented by child')
+
+    def _validate_or_and_operand(self, operand: List['QueryBase']) -> None:
+        if len(operand) <= 1: 
+            raise ValueError('Operand must be length longer than 1')
+        if all(isinstance(e, QueryBase) for e in operand) is False: 
+            raise TypeError(f'Operand must be type {type(self)} for OR/AND')
+
+    def _validate_eq_operand(self, operand: List[Union[str, numbers.Real]]) -> None:
+        if len(operand) != 2:
+            raise ValueError('Operand must be length 2 for EQ')
+        
+        if  not any(operand[0] in fields_by_type for fields_by_type in self.valid_fields.values()):
+            raise ValueError(f'Invalid field for {type(self)} "{operand[0]}"')
+        if operand[0] in self.valid_values:
+            vv = self.valid_values[operand[0]]
+            if isinstance(vv, dict):
+                # this data structure is slightly different to generate better docs, 
+                # need to unpack here.
+                vv = set().union(*[e for e in vv.values()])
+            if operand[1] not in vv:
+                raise ValueError(f'Invalid EQ value "{operand[1]}"')
+    
+    def _validate_btwn_operand(self, operand: List[Union[str, numbers.Real]]) -> None:
+        if len(operand) != 3: 
+            raise ValueError('Operand must be length 3 for BTWN')
+        if  not any(operand[0] in fields_by_type for fields_by_type in self.valid_fields.values()):
+            raise ValueError(f'Invalid field for {type(self)}')
+        if isinstance(operand[1], numbers.Real) is False:
+            raise TypeError('Invalid comparison type for BTWN')
+        if isinstance(operand[2], numbers.Real) is False:
+            raise TypeError('Invalid comparison type for BTWN')
+
+    def _validate_gt_lt(self, operand: List[Union[str, numbers.Real]]) -> None:
+        if len(operand) != 2:
+            raise ValueError('Operand must be length 2 for GT/LT')
+        if  not any(operand[0] in fields_by_type for fields_by_type in self.valid_fields.values()):
+            raise ValueError(f'Invalid field for {type(self)} "{operand[0]}"')
+        if isinstance(operand[1], numbers.Real) is False:
+            raise TypeError('Invalid comparison type for GT/LT')
+
+    def _validate_isin_operand(self, operand: List['QueryBase']) -> None:
+        if len(operand) < 2:
+            raise ValueError('Operand must be length 2+ for IS-IN')
+        
+        if  not any(operand[0] in fields_by_type for fields_by_type in self.valid_fields.values()):
+            raise ValueError(f'Invalid field for {type(self)} "{operand[0]}"')
+        if operand[0] in self.valid_values:
+            vv = self.valid_values[operand[0]]
+            if isinstance(vv, dict):
+                # this data structure is slightly different to generate better docs, 
+                # need to unpack here.
+                vv = set().union(*[e for e in vv.values()])
+            for i in range(1, len(operand)):
+                if operand[i] not in vv:
+                    raise ValueError(f'Invalid EQ value "{operand[i]}"')
+
+    def to_dict(self) -> Dict:
+        op = self.operator
+        ops = self.operands
+        if self.operator == 'IS-IN':
+            # Expand to OR of EQ queries
+            op = 'OR'
+            ops = [type(self)('EQ', [self.operands[0], v]) for v in self.operands[1:]]
+        return {
+            "operator": op,
+            "operands": [o.to_dict() if isinstance(o, QueryBase) else o for o in ops]
+        }
+
+    def __repr__(self, indent=0) -> str:
+        indent_str = "  " * indent
+        class_name = self.__class__.__name__
+
+        if isinstance(self.operands, list):
+            # For list operands, check if they contain any QueryBase objects
+            if any(isinstance(op, QueryBase) for op in self.operands):
+                # If there are nested queries, format them with newlines
+                operands_str = ",\n".join(
+                    f"{indent_str}  {op.__repr__(indent + 1) if isinstance(op, QueryBase) else repr(op)}"
+                    for op in self.operands
+                )
+                return f"{class_name}({self.operator}, [\n{operands_str}\n{indent_str}])"
+            else:
+                # For lists of simple types, keep them on one line
+                return f"{class_name}({self.operator}, {repr(self.operands)})"
+        else:
+            # Handle single operand
+            return f"{class_name}({self.operator}, {repr(self.operands)})"
+
+    def __str__(self) -> str:
+        return self.__repr__()
+
+
+class EquityQuery(QueryBase):
+    """
+    The `EquityQuery` class constructs filters for stocks based on specific criteria such as region, sector, exchange, and peer group.
+
+    Start with value operations: `EQ` (equals), `IS-IN` (is in), `BTWN` (between), `GT` (greater than), `LT` (less than), `GTE` (greater or equal), `LTE` (less or equal).
+
+    Combine them with logical operations: `AND`, `OR`.
+
+    Example:
+        Predefined Yahoo query `aggressive_small_caps`:
+        
+        .. code-block:: python
+
+            from yfinance import EquityQuery
+
+            EquityQuery('and', [
+                EquityQuery('is-in', ['exchange', 'NMS', 'NYQ']), 
+                EquityQuery('lt', ["epsgrowth.lasttwelvemonths", 15])
+            ])
+    """
+
+    @dynamic_docstring({"valid_operand_fields_table": generate_list_table_from_dict_universal(EQUITY_SCREENER_FIELDS)})
+    @property
+    def valid_fields(self) -> Dict:
+        """
+        Valid operands, grouped by category.
+        {valid_operand_fields_table}
+        """
+        return EQUITY_SCREENER_FIELDS
+    
+    @dynamic_docstring({"valid_values_table": generate_list_table_from_dict_universal(EQUITY_SCREENER_EQ_MAP, concat_keys=['exchange'])})
+    @property
+    def valid_values(self) -> Dict:
+        """
+        Most operands take number values, but some have a restricted set of valid values.
+        {valid_values_table}
+        """
+        return EQUITY_SCREENER_EQ_MAP
+
+
+class FundQuery(QueryBase):
+    """
+    The `FundQuery` class constructs filters for mutual funds based on specific criteria such as region, sector, exchange, and peer group.
+
+    Start with value operations: `EQ` (equals), `IS-IN` (is in), `BTWN` (between), `GT` (greater than), `LT` (less than), `GTE` (greater or equal), `LTE` (less or equal).
+
+    Combine them with logical operations: `AND`, `OR`.
+
+    Example:
+        Predefined Yahoo query `solid_large_growth_funds`:
+        
+        .. code-block:: python
+
+            from yfinance import FundQuery
+            
+            FundQuery('and', [
+                FundQuery('eq', ['categoryname', 'Large Growth']), 
+                FundQuery('is-in', ['performanceratingoverall', 4, 5]), 
+                FundQuery('lt', ['initialinvestment', 100001]), 
+                FundQuery('lt', ['annualreturnnavy1categoryrank', 50]), 
+                FundQuery('eq', ['exchange', 'NAS'])
+            ])
+    """
+    @dynamic_docstring({"valid_operand_fields_table": generate_list_table_from_dict_universal(FUND_SCREENER_FIELDS)})
+    @property
+    def valid_fields(self) -> Dict:
+        """
+        Valid operands, grouped by category.
+        {valid_operand_fields_table}
+        """
+        return FUND_SCREENER_FIELDS
+    
+    @dynamic_docstring({"valid_values_table": generate_list_table_from_dict_universal(FUND_SCREENER_EQ_MAP)})
+    @property
+    def valid_values(self) -> Dict:
+        """
+        Most operands take number values, but some have a restricted set of valid values.
+        {valid_values_table}
+        """
+        return FUND_SCREENER_EQ_MAP
+
--- a/yfinance/screener/screener.py
+++ b/yfinance/screener/screener.py
@@ -1,188 +1,180 @@
-from typing import Dict
+from .query import EquityQuery as EqyQy
+from .query import FundQuery as FndQy
+from .query import QueryBase, EquityQuery, FundQuery

-from yfinance import utils
+from yfinance.const import _BASE_URL_
 from yfinance.data import YfData
-from yfinance.const import _BASE_URL_, PREDEFINED_SCREENER_BODY_MAP
-from .screener_query import Query
-from ..utils import dynamic_docstring, generate_list_table_from_dict_of_dict
+
+from ..utils import dynamic_docstring, generate_list_table_from_dict_universal
+
+from typing import Union
+import requests

 _SCREENER_URL_ = f"{_BASE_URL_}/v1/finance/screener"
+_PREDEFINED_URL_ = f"{_SCREENER_URL_}/predefined/saved"

-class Screener:
+PREDEFINED_SCREENER_BODY_DEFAULTS = {
+    "offset":0, "size":25, "userId":"","userIdType":"guid"
+}
+
+PREDEFINED_SCREENER_QUERIES = {
+    'aggressive_small_caps': {"sortField":"eodvolume", "sortType":"desc",
+                            "query": EqyQy('and', [EqyQy('is-in', ['exchange', 'NMS', 'NYQ']), EqyQy('lt', ["epsgrowth.lasttwelvemonths", 15])])},
+    'day_gainers': {"sortField":"percentchange", "sortType":"DESC",
+                    "query": EqyQy('and', [EqyQy('gt', ['percentchange', 3]), EqyQy('eq', ['region', 'us']), EqyQy('gte', ['intradaymarketcap', 2000000000]), EqyQy('gte', ['intradayprice', 5]), EqyQy('gt', ['dayvolume', 15000])])},
+    'day_losers': {"sortField":"percentchange", "sortType":"ASC",
+                    "query": EqyQy('and', [EqyQy('lt', ['percentchange', -2.5]), EqyQy('eq', ['region', 'us']), EqyQy('gte', ['intradaymarketcap', 2000000000]), EqyQy('gte', ['intradayprice', 5]), EqyQy('gt', ['dayvolume', 20000])])},
+    'growth_technology_stocks': {"sortField":"eodvolume", "sortType":"desc",
+                                "query": EqyQy('and', [EqyQy('gte', ['quarterlyrevenuegrowth.quarterly', 25]), EqyQy('gte', ['epsgrowth.lasttwelvemonths', 25]), EqyQy('eq', ['sector', 'Technology']), EqyQy('is-in', ['exchange', 'NMS', 'NYQ'])])},
+    'most_actives': {"sortField":"dayvolume", "sortType":"DESC",
+                    "query": EqyQy('and', [EqyQy('eq', ['region', 'us']), EqyQy('gte', ['intradaymarketcap', 2000000000]), EqyQy('gt', ['dayvolume', 5000000])])},
+    'most_shorted_stocks': {"size":25, "offset":0, "sortField":"short_percentage_of_shares_outstanding.value", "sortType":"DESC", 
+                            "query": EqyQy('and', [EqyQy('eq', ['region', 'us']), EqyQy('gt', ['intradayprice', 1]), EqyQy('gt', ['avgdailyvol3m', 200000])])},
+    'small_cap_gainers': {"sortField":"eodvolume", "sortType":"desc", 
+                        "query": EqyQy("and", [EqyQy("lt", ["intradaymarketcap",2000000000]), EqyQy("is-in", ["exchange", "NMS", "NYQ"])])},
+    'undervalued_growth_stocks': {"sortType":"DESC", "sortField":"eodvolume", 
+                                "query": EqyQy('and', [EqyQy('btwn', ['peratio.lasttwelvemonths', 0, 20]), EqyQy('lt', ['pegratio_5y', 1]), EqyQy('gte', ['epsgrowth.lasttwelvemonths', 25]), EqyQy('is-in', ['exchange', 'NMS', 'NYQ'])])},
+    'undervalued_large_caps': {"sortField":"eodvolume", "sortType":"desc", 
+                            "query": EqyQy('and', [EqyQy('btwn', ['peratio.lasttwelvemonths', 0, 20]), EqyQy('lt', ['pegratio_5y', 1]), EqyQy('btwn', ['intradaymarketcap', 10000000000, 100000000000]), EqyQy('is-in', ['exchange', 'NMS', 'NYQ'])])},
+    'conservative_foreign_funds': {"sortType":"DESC", "sortField":"fundnetassets",
+                                "query": FndQy('and', [FndQy('is-in', ['categoryname', 'Foreign Large Value', 'Foreign Large Blend', 'Foreign Large Growth', 'Foreign Small/Mid Growth', 'Foreign Small/Mid Blend', 'Foreign Small/Mid Value']), FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('lt', ['initialinvestment', 100001]), FndQy('lt', ['annualreturnnavy1categoryrank', 50]), FndQy('is-in', ['riskratingoverall', 1, 2, 3]), FndQy('eq', ['exchange', 'NAS'])])},
+    'high_yield_bond': {"sortType":"DESC", "sortField":"fundnetassets",
+                        "query": FndQy('and', [FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('lt', ['initialinvestment', 100001]), FndQy('lt', ['annualreturnnavy1categoryrank', 50]), FndQy('is-in', ['riskratingoverall', 1, 2, 3]), FndQy('eq', ['categoryname', 'High Yield Bond']), FndQy('eq', ['exchange', 'NAS'])])},
+    'portfolio_anchors': {"sortType":"DESC", "sortField":"fundnetassets",
+                        "query": FndQy('and', [FndQy('eq', ['categoryname', 'Large Blend']), FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('lt', ['initialinvestment', 100001]), FndQy('lt', ['annualreturnnavy1categoryrank', 50]), FndQy('eq', ['exchange', 'NAS'])])},
+    'solid_large_growth_funds': {"sortType":"DESC", "sortField":"fundnetassets",
+                                "query": FndQy('and', [FndQy('eq', ['categoryname', 'Large Growth']), FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('lt', ['initialinvestment', 100001]), FndQy('lt', ['annualreturnnavy1categoryrank', 50]), FndQy('eq', ['exchange', 'NAS'])])},
+    'solid_midcap_growth_funds': {"sortType":"DESC", "sortField":"fundnetassets",
+                                "query": FndQy('and', [FndQy('eq', ['categoryname', 'Mid-Cap Growth']), FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('lt', ['initialinvestment', 100001]), FndQy('lt', ['annualreturnnavy1categoryrank', 50]), FndQy('eq', ['exchange', 'NAS'])])},
+    'top_mutual_funds': {"sortType":"DESC", "sortField":"percentchange",
+                        "query": FndQy('and', [FndQy('gt', ['intradayprice', 15]), FndQy('is-in', ['performanceratingoverall', 4, 5]), FndQy('gt', ['initialinvestment', 1000]), FndQy('eq', ['exchange', 'NAS'])])}
+}
+
+@dynamic_docstring({"predefined_screeners": generate_list_table_from_dict_universal(PREDEFINED_SCREENER_QUERIES, bullets=True, title='Predefined queries (Dec-2024)')})
+def screen(query: Union[str, EquityQuery, FundQuery],
+            offset: int = None, 
+            size: int = None, 
+            sortField: str = None, 
+            sortAsc: bool = None,
+            userId: str = None, 
+            userIdType: str = None, 
+            session = None, proxy = None):
    """
-    The `Screener` class is used to execute the queries and return the filtered results.
+    Run a screen: predefined query, or custom query.

-    The Screener class provides methods to set and manipulate the body of a screener request,
-    fetch and parse the screener results, and access predefined screener bodies.
+    :Parameters:
+        * Defaults only apply if query = EquityQuery or FundQuery
+        query : str | Query:
+            The query to execute, either name of predefined or custom query.
+            For predefined list run yf.PREDEFINED_SCREENER_QUERIES.keys()
+        offset : int
+            The offset for the results. Default 0.
+        size : int
+            number of results to return. Default 100, maximum 250 (Yahoo)
+        sortField : str
+            field to sort by. Default "ticker"
+        sortAsc : bool
+            Sort ascending? Default False
+        userId : str
+            The user ID. Default empty.
+        userIdType : str
+            Type of user ID (e.g., "guid"). Default "guid".
+
+    Example: predefined query
+        .. code-block:: python
+
+            import yfinance as yf
+            response = yf.screen("aggressive_small_caps")
+
+    Example: custom query
+        .. code-block:: python
+
+            import yfinance as yf
+            from yfinance import EquityQuery
+            q = EquityQuery('and', [
+                   EquityQuery('gt', ['percentchange', 3]), 
+                   EquityQuery('eq', ['region', 'us'])
+            ])
+            response = yf.screen(q, sortField = 'percentchange', sortAsc = True)
+
+    To access predefineds query code
+        .. code-block:: python
+
+            import yfinance as yf
+            query = yf.PREDEFINED_SCREENER_QUERIES['aggressive_small_caps']
+
+    {predefined_screeners}
    """
-    def __init__(self, session=None, proxy=None):
-        """
-        Args:
-            session (requests.Session, optional): A requests session object to be used for making HTTP requests. Defaults to None.
-            proxy (str, optional): A proxy URL to be used for making HTTP requests. Defaults to None.
-        
-        .. seealso::

-            :attr:`Screener.predefined_bodies <yfinance.Screener.predefined_bodies>`
-                supported predefined screens
-        """
-        self.proxy = proxy
-        self.session = session
+    # Only use defaults when user NOT give a predefined, because
+    # Yahoo's predefined endpoint auto-applies defaults. Also,
+    # that endpoint might be ignoring these fields.
+    defaults = {
+        'offset': 0,
+        'size': 25,
+        'sortField': 'ticker',
+        'sortAsc': False,
+        'userId': "",
+        'userIdType': "guid"
+    }

-        self._data: YfData = YfData(session=session)
-        self._body: Dict = {}
-        self._response: Dict = {}
-        self._body_updated = False
-        self._accepted_body_keys = {"offset","size","sortField","sortType","quoteType","query","userId","userIdType"}
-        self._predefined_bodies = PREDEFINED_SCREENER_BODY_MAP.keys()
+    if size is not None and size > 250:
+        raise ValueError("Yahoo limits query size to 250, reduce size.")

-    @property
-    def body(self) -> Dict:
-        return self._body
-    
-    @property
-    def response(self) -> Dict:
-        """
-        Fetch screen result
+    fields = dict(locals())
+    for k in ['query', 'session', 'proxy']:
+        if k in fields:
+            del fields[k]

-        Example:
+    params_dict = {"corsDomain": "finance.yahoo.com", "formatted": "false", "lang": "en-US", "region": "US"}

-            .. code-block:: python
-
-                result = screener.response
-                symbols = [quote['symbol'] for quote in result['quotes']]
-        """
-        if self._body_updated or self._response is None:
-            self._fetch_and_parse()
-        
-        self._body_updated = False
-        return self._response
-    
-    @dynamic_docstring({"predefined_screeners": generate_list_table_from_dict_of_dict(PREDEFINED_SCREENER_BODY_MAP,bullets=False)})
-    @property
-    def predefined_bodies(self) -> Dict:
-        """
-        Predefined Screeners
-        {predefined_screeners}
-        """
-        return self._predefined_bodies
-
-    def set_default_body(self, query: Query, offset: int = 0, size: int = 100, sortField: str = "ticker", sortType: str = "desc", quoteType: str = "equity", userId: str = "", userIdType: str = "guid") -> None:
-        """
-        Set the default body using a custom query
-
-        Example:
-
-            .. code-block:: python
-
-                screener.set_default_body(qf)
-        """
-        self._body_updated = True
-
-        self._body = {
-            "offset": offset,
-            "size": size,
-            "sortField": sortField,
-            "sortType": sortType,
-            "quoteType": quoteType,
-            "query": query.to_dict(),
-            "userId": userId,
-            "userIdType": userIdType
-        }
-
-    def set_predefined_body(self, k: str) -> None:
-        """
-        Set a predefined body
-
-        Example:
-
-            .. code-block:: python
-
-                screener.set_predefined_body('day_gainers')
-        
-                
-        .. seealso::
-
-            :attr:`Screener.predefined_bodies <yfinance.Screener.predefined_bodies>`
-                supported predefined screens
-        """
-        body = PREDEFINED_SCREENER_BODY_MAP.get(k, None)
-        if not body:
-            raise ValueError(f'Invalid key {k} provided for predefined screener')
-        
-        self._body_updated = True
-        self._body = body
-
-    def set_body(self, body: Dict) -> None:
-        """
-        Set the fully custom body 
-        
-        Example:
-
-            .. code-block:: python
-
-                screener.set_body({
-                    "offset": 0,
-                    "size": 100,
-                    "sortField": "ticker",
-                    "sortType": "desc",
-                    "quoteType": "equity",
-                    "query": qf.to_dict(),
-                    "userId": "",
-                    "userIdType": "guid"
-                })
-        """
-        missing_keys = [key for key in self._accepted_body_keys if key not in body]
-        if missing_keys:
-            raise ValueError(f"Missing required keys in body: {missing_keys}")
-
-        extra_keys = [key for key in body if key not in self._accepted_body_keys]
-        if extra_keys:
-            raise ValueError(f"Body contains extra keys: {extra_keys}")
-
-        self._body_updated = True
-        self._body = body
-
-
-    def patch_body(self, values: Dict) -> None:
-        """
-        Patch parts of the body
-
-        Example:
-
-            .. code-block:: python
-
-                screener.patch_body({"offset": 100})
-        """
-        extra_keys = [key for key in values if key not in self._accepted_body_keys]
-        if extra_keys:
-            raise ValueError(f"Body contains extra keys: {extra_keys}")
-        
-        self._body_updated = True
-        for k in values:
-            self._body[k] = values[k]
-
-    def _validate_body(self) -> None:
-        if not all(k in self._body for k in self._accepted_body_keys):
-            raise ValueError("Missing required keys in body")
-
-    def _fetch(self) -> Dict:
-        params_dict = {"corsDomain": "finance.yahoo.com", "formatted": "false", "lang": "en-US", "region": "US"}
-        response = self._data.post(_SCREENER_URL_, body=self.body, user_agent_headers=self._data.user_agent_headers, params=params_dict, proxy=self.proxy)
-        response.raise_for_status()
-        return response.json()
-    
-    def _fetch_and_parse(self) -> None:
-        response = None
-        self._validate_body()
-        
+    post_query = None
+    if isinstance(query, str):
+        # post_query = PREDEFINED_SCREENER_QUERIES[query]
+        # Switch to Yahoo's predefined endpoint
+        _data = YfData(session=session)
+        params_dict['scrIds'] = query
+        for k,v in fields.items():
+            if v is not None:
+                params_dict[k] = v
+        resp = _data.get(url=_PREDEFINED_URL_, params=params_dict, proxy=proxy)
        try:
-            response = self._fetch()
-            self._response = response['finance']['result'][0]
-        except Exception as e:
-            logger = utils.get_yf_logger()
-            logger.error(f"Failed to get screener data for '{self._body.get('query', 'query not set')}' reason: {e}")
-            logger.debug("Got response: ")
-            logger.debug("-------------")
-            logger.debug(f" {response}")
-            logger.debug("-------------")
+            resp.raise_for_status()
+        except requests.exceptions.HTTPError:
+            if query not in PREDEFINED_SCREENER_QUERIES:
+                print(f"yfinance.screen: '{query}' is probably not a predefined query.")
+            raise
+        return resp.json()["finance"]["result"][0]
+
+    elif isinstance(query, QueryBase):
+        # Prepare other fields
+        for k in defaults:
+            if k not in fields or fields[k] is None:
+                fields[k] = defaults[k]
+        fields['sortType'] = 'ASC' if fields['sortAsc'] else 'DESC'
+        del fields['sortAsc']
+
+        post_query = fields
+        post_query['query'] = query
+
+    else:
+        raise ValueError(f'Query must be type str or QueryBase, not "{type(query)}"')
+
+    if query is None:
+        raise ValueError('No query provided')
+
+    if isinstance(post_query['query'], EqyQy):
+        post_query['quoteType'] = 'EQUITY'
+    elif isinstance(post_query['query'], FndQy):
+        post_query['quoteType'] = 'MUTUALFUND'
+    post_query['query'] = post_query['query'].to_dict()
+
+    # Fetch
+    _data = YfData(session=session)
+    response = _data.post(_SCREENER_URL_, 
+                            body=post_query, 
+                            user_agent_headers=_data.user_agent_headers, 
+                            params=params_dict, 
+                            proxy=proxy)
+    response.raise_for_status()
+    return response.json()['finance']['result'][0]
--- a/yfinance/screener/screener_query.py
+++ b/yfinance/screener/screener_query.py
@@ -1,145 +0,0 @@
-from abc import ABC, abstractmethod
-import numbers
-from typing import List, Union, Dict
-
-from yfinance.const import EQUITY_SCREENER_EQ_MAP, EQUITY_SCREENER_FIELDS
-from yfinance.exceptions import YFNotImplementedError
-from ..utils import dynamic_docstring, generate_list_table_from_dict
-
-class Query(ABC):
-    def __init__(self, operator: str, operand: Union[numbers.Real, str, List['Query']]):
-        self.operator = operator
-        self.operands = operand
-
-    @abstractmethod
-    def to_dict(self) -> Dict:
-        raise YFNotImplementedError('to_dict() needs to be implemented by children classes')
-
-class EquityQuery(Query):
-    """
-    The `EquityQuery` class constructs filters for stocks based on specific criteria such as region, sector, exchange, and peer group.
-
-    The queries support operators: `GT` (greater than), `LT` (less than), `BTWN` (between), `EQ` (equals), and logical operators `AND` and `OR` for combining multiple conditions.
-
-    Example:
-        Screen for stocks where the end-of-day price is greater than 3.
-        
-        .. code-block:: python
-
-            gt = yf.EquityQuery('gt', ['eodprice', 3])
-
-        Screen for stocks where the average daily volume over the last 3 months is less than a very large number.
-
-        .. code-block:: python
-
-            lt = yf.EquityQuery('lt', ['avgdailyvol3m', 99999999999])
-
-        Screen for stocks where the intraday market cap is between 0 and 100 million.
-
-        .. code-block:: python
-
-            btwn = yf.EquityQuery('btwn', ['intradaymarketcap', 0, 100000000])
-
-        Screen for stocks in the Technology sector.
-
-        .. code-block:: python
-
-            eq = yf.EquityQuery('eq', ['sector', 'Technology'])
-
-        Combine queries using AND/OR.
-
-        .. code-block:: python
-
-            qt = yf.EquityQuery('and', [gt, lt])
-            qf = yf.EquityQuery('or', [qt, btwn, eq])
-    """
-    def __init__(self, operator: str, operand: Union[numbers.Real, str, List['EquityQuery']]):
-        """
-        .. seealso::
-            
-            :attr:`EquityQuery.valid_operand_fields <yfinance.EquityQuery.valid_operand_fields>`
-                supported operand values for query
-            :attr:`EquityQuery.valid_eq_operand_map <yfinance.EquityQuery.valid_eq_operand_map>`
-                supported `EQ query operand parameters`
-        """
-        operator = operator.upper()
-
-        if not isinstance(operand, list):
-            raise TypeError('Invalid operand type')
-        if len(operand) <= 0:
-            raise ValueError('Invalid field for Screener')
-            
-        if operator in {'OR','AND'}: 
-            self._validate_or_and_operand(operand)
-        elif operator == 'EQ': 
-            self._validate_eq_operand(operand)
-        elif operator == 'BTWN': 
-            self._validate_btwn_operand(operand)
-        elif operator in {'GT','LT'}: 
-            self._validate_gt_lt(operand)
-        else: 
-            raise ValueError('Invalid Operator Value')
-
-        self.operator = operator
-        self.operands = operand
-        self._valid_eq_operand_map = EQUITY_SCREENER_EQ_MAP
-        self._valid_operand_fields = EQUITY_SCREENER_FIELDS
-    
-    @dynamic_docstring({"valid_eq_operand_map_table": generate_list_table_from_dict(EQUITY_SCREENER_EQ_MAP)})
-    @property
-    def valid_eq_operand_map(self) -> Dict:
-        """
-        Valid Operand Map for Operator "EQ"
-        {valid_eq_operand_map_table}
-        """
-        return self._valid_eq_operand_map
-
-    @dynamic_docstring({"valid_operand_fields_table": generate_list_table_from_dict(EQUITY_SCREENER_FIELDS)})
-    @property
-    def valid_operand_fields(self) -> Dict:
-        """
-        Valid Operand Fields
-        {valid_operand_fields_table}
-        """
-        return self._valid_operand_fields
-    
-    def _validate_or_and_operand(self, operand: List['EquityQuery']) -> None:
-        if len(operand) <= 1: 
-            raise ValueError('Operand must be length longer than 1')
-        if all(isinstance(e, EquityQuery) for e in operand) is False: 
-            raise TypeError('Operand must be type EquityQuery for OR/AND')
-
-    def _validate_eq_operand(self, operand: List[Union[str, numbers.Real]]) -> None:
-        if len(operand) != 2:
-            raise ValueError('Operand must be length 2 for EQ')
-        
-        if  not any(operand[0] in fields_by_type for fields_by_type in EQUITY_SCREENER_FIELDS.values()):
-            raise ValueError('Invalid field for Screener')
-        if operand[0] not in EQUITY_SCREENER_EQ_MAP:
-            raise ValueError('Invalid EQ key')
-        if operand[1] not in EQUITY_SCREENER_EQ_MAP[operand[0]]:
-            raise ValueError('Invalid EQ value')
-    
-    def _validate_btwn_operand(self, operand: List[Union[str, numbers.Real]]) -> None:
-        if len(operand) != 3: 
-            raise ValueError('Operand must be length 3 for BTWN')
-        if  not any(operand[0] in fields_by_type for fields_by_type in EQUITY_SCREENER_FIELDS.values()):
-            raise ValueError('Invalid field for Screener')
-        if isinstance(operand[1], numbers.Real) is False:
-            raise TypeError('Invalid comparison type for BTWN')
-        if isinstance(operand[2], numbers.Real) is False:
-            raise TypeError('Invalid comparison type for BTWN')
-
-    def _validate_gt_lt(self, operand: List[Union[str, numbers.Real]]) -> None:
-        if len(operand) != 2:
-            raise ValueError('Operand must be length 2 for GT/LT')
-        if  not any(operand[0] in fields_by_type for fields_by_type in EQUITY_SCREENER_FIELDS.values()):
-            raise ValueError('Invalid field for Screener')
-        if isinstance(operand[1], numbers.Real) is False:
-            raise TypeError('Invalid comparison type for GT/LT')
-
-    def to_dict(self) -> Dict:
-        return {
-            "operator": self.operator,
-            "operands": [operand.to_dict() if isinstance(operand, EquityQuery) else operand for operand in self.operands]
-        }
--- a/yfinance/search.py
+++ b/yfinance/search.py
@@ -0,0 +1,158 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# yfinance - market data downloader
+# https://github.com/ranaroussi/yfinance
+#
+# Copyright 2017-2019 Ran Aroussi
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import json as _json
+
+from . import utils
+from .const import _BASE_URL_
+from .data import YfData
+
+
+class Search:
+    def __init__(self, query, max_results=8, news_count=8, lists_count=8, include_cb=True, include_nav_links=False,
+                 include_research=False, include_cultural_assets=False, enable_fuzzy_query=False, recommended=8,
+                 session=None, proxy=None, timeout=30, raise_errors=True):
+        """
+        Fetches and organizes search results from Yahoo Finance, including stock quotes and news articles.
+
+        Args:
+            query: The search query (ticker symbol or company name).
+            max_results: Maximum number of stock quotes to return (default 8).
+            news_count: Number of news articles to include (default 8).
+            lists_count: Number of lists to include (default 8).
+            include_cb: Include the company breakdown (default True).
+            include_nav_links: Include the navigation links (default False).
+            include_research: Include the research reports (default False).
+            include_cultural_assets: Include the cultural assets (default False).
+            enable_fuzzy_query: Enable fuzzy search for typos (default False).
+            recommended: Recommended number of results to return (default 8).
+            session: Custom HTTP session for requests (default None).
+            proxy: Proxy settings for requests (default None).
+            timeout: Request timeout in seconds (default 30).
+            raise_errors: Raise exceptions on error (default True).
+        """
+        self.query = query
+        self.max_results = max_results
+        self.enable_fuzzy_query = enable_fuzzy_query
+        self.news_count = news_count
+        self.session = session
+        self.proxy = proxy
+        self.timeout = timeout
+        self.raise_errors = raise_errors
+
+        self.lists_count = lists_count
+        self.include_cb = include_cb
+        self.nav_links = include_nav_links
+        self.enable_research = include_research
+        self.enable_cultural_assets = include_cultural_assets
+        self.recommended = recommended
+
+        self._data = YfData(session=self.session)
+        self._logger = utils.get_yf_logger()
+
+        self._response = {}
+        self._all = {}
+        self._quotes = []
+        self._news = []
+        self._lists = []
+        self._research = []
+        self._nav = []
+
+        self.search()
+
+    def search(self) -> 'Search':
+        """Search using the query parameters defined in the constructor."""
+        url = f"{_BASE_URL_}/v1/finance/search"
+        params = {
+            "q": self.query,
+            "quotesCount": self.max_results,
+            "enableFuzzyQuery": self.enable_fuzzy_query,
+            "newsCount": self.news_count,
+            "quotesQueryId": "tss_match_phrase_query",
+            "newsQueryId": "news_cie_vespa",
+            "listsCount": self.lists_count,
+            "enableCb": self.include_cb,
+            "enableNavLinks": self.nav_links,
+            "enableResearchReports": self.enable_research,
+            "enableCulturalAssets": self.enable_cultural_assets,
+            "recommendedCount": self.recommended
+        }
+
+        self._logger.debug(f'{self.query}: Yahoo GET parameters: {str(dict(params))}')
+
+        data = self._data.cache_get(url=url, params=params, proxy=self.proxy, timeout=self.timeout)
+        if data is None or "Will be right back" in data.text:
+            raise RuntimeError("*** YAHOO! FINANCE IS CURRENTLY DOWN! ***\n"
+                               "Our engineers are working quickly to resolve "
+                               "the issue. Thank you for your patience.")
+        try:
+            data = data.json()
+        except _json.JSONDecodeError:
+            self._logger.error(f"{self.query}: Failed to retrieve search results and received faulty response instead.")
+            data = {}
+
+        self._response = data
+        # Filter quotes to only include symbols
+        self._quotes = [quote for quote in data.get("quotes", []) if "symbol" in quote]
+        self._news = data.get("news", [])
+        self._lists = data.get("lists", [])
+        self._research = data.get("researchReports", [])
+        self._nav = data.get("nav", [])
+
+        self._all = {"quotes": self._quotes, "news": self._news, "lists": self._lists, "research": self._research,
+                     "nav": self._nav}
+
+        return self
+
+    @property
+    def quotes(self) -> 'list':
+        """Get the quotes from the search results."""
+        return self._quotes
+
+    @property
+    def news(self) -> 'list':
+        """Get the news from the search results."""
+        return self._news
+
+    @property
+    def lists(self) -> 'list':
+        """Get the lists from the search results."""
+        return self._lists
+
+    @property
+    def research(self) -> 'list':
+        """Get the research reports from the search results."""
+        return self._research
+
+    @property
+    def nav(self) -> 'list':
+        """Get the navigation links from the search results."""
+        return self._nav
+
+    @property
+    def all(self) -> 'dict[str,list]':
+        """Get all the results from the search results: filtered down version of response."""
+        return self._all
+
+    @property
+    def response(self) -> 'dict':
+        """Get the raw response from the search results."""
+        return self._response
--- a/yfinance/ticker.py
+++ b/yfinance/ticker.py
@@ -201,6 +201,10 @@ class Ticker(TickerBase):
    def quarterly_income_stmt(self) -> _pd.DataFrame:
        return self.get_income_stmt(pretty=True, freq='quarterly')

+    @property
+    def ttm_income_stmt(self) -> _pd.DataFrame:
+        return self.get_income_stmt(pretty=True, freq='trailing')
+
    @property
    def incomestmt(self) -> _pd.DataFrame:
        return self.income_stmt
@@ -209,6 +213,10 @@ class Ticker(TickerBase):
    def quarterly_incomestmt(self) -> _pd.DataFrame:
        return self.quarterly_income_stmt

+    @property
+    def ttm_incomestmt(self) -> _pd.DataFrame:
+        return self.ttm_income_stmt
+
    @property
    def financials(self) -> _pd.DataFrame:
        return self.income_stmt
@@ -217,6 +225,10 @@ class Ticker(TickerBase):
    def quarterly_financials(self) -> _pd.DataFrame:
        return self.quarterly_income_stmt

+    @property
+    def ttm_financials(self) -> _pd.DataFrame:
+        return self.ttm_income_stmt
+
    @property
    def balance_sheet(self) -> _pd.DataFrame:
        return self.get_balance_sheet(pretty=True)
@@ -241,6 +253,10 @@ class Ticker(TickerBase):
    def quarterly_cash_flow(self) -> _pd.DataFrame:
        return self.get_cash_flow(pretty=True, freq='quarterly')

+    @property
+    def ttm_cash_flow(self) -> _pd.DataFrame:
+        return self.get_cash_flow(pretty=True, freq='trailing')
+
    @property
    def cashflow(self) -> _pd.DataFrame:
        return self.cash_flow
@@ -249,6 +265,10 @@ class Ticker(TickerBase):
    def quarterly_cashflow(self) -> _pd.DataFrame:
        return self.quarterly_cash_flow

+    @property
+    def ttm_cashflow(self) -> _pd.DataFrame:
+        return self.ttm_cash_flow
+
    @property
    def analyst_price_targets(self) -> dict:
        return self.get_analyst_price_targets()
--- a/yfinance/utils.py
+++ b/yfinance/utils.py
@@ -23,6 +23,7 @@ from __future__ import print_function

 import datetime as _datetime
 import logging
+import re
 import re as _re
 import sys as _sys
 import threading
@@ -39,7 +40,6 @@ from dateutil.relativedelta import relativedelta
 from pytz import UnknownTimeZoneError

 from yfinance import const
-from .const import _BASE_URL_

 user_agent_headers = {
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
@@ -189,24 +189,27 @@ def is_isin(string):
 def get_all_by_isin(isin, proxy=None, session=None):
    if not (is_isin(isin)):
        raise ValueError("Invalid ISIN number")
+
+    # Deferred this to prevent circular imports
+    from .search import Search
+
    session = session or _requests
-    url = f"{_BASE_URL_}/v1/finance/search?q={isin}"
-    data = session.get(url=url, proxies=proxy, headers=user_agent_headers)
-    try:
-        data = data.json()
-        ticker = data.get('quotes', [{}])[0]
-        return {
-            'ticker': {
-                'symbol': ticker['symbol'],
-                'shortname': ticker['shortname'],
-                'longname': ticker.get('longname',''),
-                'type': ticker['quoteType'],
-                'exchange': ticker['exchDisp'],
-            },
-            'news': data.get('news', [])
-        }
-    except Exception:
-        return {}
+    search = Search(query=isin, max_results=1, session=session, proxy=proxy)
+
+    # Extract the first quote and news
+    ticker = search.quotes[0] if search.quotes else {}
+    news = search.news
+
+    return {
+        'ticker': {
+            'symbol': ticker.get('symbol', ''),
+            'shortname': ticker.get('shortname', ''),
+            'longname': ticker.get('longname', ''),
+            'type': ticker.get('quoteType', ''),
+            'exchange': ticker.get('exchDisp', ''),
+        },
+        'news': news
+    }


 def get_ticker_by_isin(isin, proxy=None, session=None):
@@ -427,26 +430,28 @@ def _parse_user_dt(dt, exchange_tz):


 def _interval_to_timedelta(interval):
-    if interval == "1mo":
-        return relativedelta(months=1)
-    elif interval == "3mo":
-        return relativedelta(months=3)
-    elif interval == "6mo":
-        return relativedelta(months=6)
-    elif interval == "1y":
-        return relativedelta(years=1)
-    elif interval == "2y":
-        return relativedelta(years=2)
-    elif interval == "5y":
-        return relativedelta(years=5)
-    elif interval == "10y":
-        return relativedelta(years=10)
-    elif interval == "1wk":
-        return _pd.Timedelta(days=7)
+    if interval[-1] == "d":
+        return relativedelta(days=int(interval[:-1]))
+    elif interval[-2:] == "wk":
+        return relativedelta(weeks=int(interval[:-2]))
+    elif interval[-2:] == "mo":
+        return relativedelta(months=int(interval[:-2]))
+    elif interval[-1] == "y":
+        return relativedelta(years=int(interval[:-1]))
    else:
        return _pd.Timedelta(interval)


+def is_valid_period_format(period):
+    """Check if the provided period has a valid format."""
+    if period is None:
+        return False
+
+    # Regex pattern to match valid period formats like '1d', '2wk', '3mo', '1y'
+    valid_pattern = r"^[1-9]\d*(d|wk|mo|y)$"
+    return bool(re.match(valid_pattern, period))
+
+
 def auto_adjust(data):
    col_order = data.columns
    df = data.copy()
@@ -949,10 +954,12 @@ def dynamic_docstring(placeholders: dict):
        return func
    return decorator

-def _generate_table_configurations() -> str:
+def _generate_table_configurations(title = None) -> str:
    import textwrap
-    table = textwrap.dedent("""
-    .. list-table:: Permitted Keys/Values
+    if title is None:
+        title = "Permitted Keys/Values"
+    table = textwrap.dedent(f"""
+    .. list-table:: {title}
       :widths: 25 75
       :header-rows: 1

@@ -962,34 +969,134 @@ def _generate_table_configurations() -> str:

    return table

-def generate_list_table_from_dict(data: dict, bullets: bool=True) -> str:
+def generate_list_table_from_dict(data: dict, bullets: bool=True, title: str=None) -> str:
    """
    Generate a list-table for the docstring showing permitted keys/values.
    """
-    table = _generate_table_configurations()
-    for key, values in data.items():
-        value_str = ', '.join(sorted(values))
-        table += f"   * - {key}\n"
-        if bullets:
-            table += "     -\n"
+    table = _generate_table_configurations(title)
+    for k in sorted(data.keys()):
+        values = data[k]
+        table += ' '*3 + f"* - {k}\n"
+        lengths = [len(str(v)) for v in values]
+        if bullets and max(lengths) > 5:
+            table += ' '*5 + "-\n"
            for value in sorted(values):
-                table += f"       - {value}\n"
+                table += ' '*7 + f"- {value}\n"
        else:
-            table += f"     - {value_str}\n"
+            value_str = ', '.join(sorted(values))
+            table += ' '*5 + f"- {value_str}\n"
    return table

-def generate_list_table_from_dict_of_dict(data: dict, bullets: bool=True) -> str:
+# def generate_list_table_from_dict_of_dict(data: dict, bullets: bool=True, title: str=None) -> str:
+#     """
+#     Generate a list-table for the docstring showing permitted keys/values.
+#     """
+#     table = _generate_table_configurations(title)
+#     for k in sorted(data.keys()):
+#         values = data[k]
+#         table += ' '*3 + f"* - {k}\n"
+#         if bullets:
+#             table += ' '*5 + "-\n"
+#             for value in sorted(values):
+#                 table += ' '*7 + f"- {value}\n"
+#         else:
+#             table += ' '*5 + f"- {values}\n"
+#     return table
+
+
+def generate_list_table_from_dict_universal(data: dict, bullets: bool=True, title: str=None, concat_keys=[]) -> str:
    """
    Generate a list-table for the docstring showing permitted keys/values.
    """
-    table = _generate_table_configurations()
-    for key, values in data.items():
-        value_str = values
-        table += f"   * - {key}\n"
-        if bullets:
-            table += "     -\n"
-            for value in sorted(values):
-                table += f"       - {value}\n"
+    table = _generate_table_configurations(title)
+    for k in data.keys():
+        values = data[k]
+
+        table += ' '*3 + f"* - {k}\n"
+        if isinstance(values, dict):
+            table_add = ''
+
+            concat_short_lines = k in concat_keys
+
+            if bullets:
+                k_keys = sorted(list(values.keys()))
+                current_line = ''
+                block_format = 'query' in k_keys
+                for i in range(len(k_keys)):
+                    k2 = k_keys[i]
+                    k2_values = values[k2]
+                    k2_values_str = None
+                    if isinstance(k2_values, set):
+                        k2_values = list(k2_values)
+                    elif isinstance(k2_values, dict) and len(k2_values) == 0:
+                        k2_values = []
+                    if isinstance(k2_values, list):
+                        k2_values = sorted(k2_values)
+                        all_scalar = all(isinstance(k2v, (int, float, str)) for k2v in k2_values)
+                        if all_scalar:
+                            k2_values_str = _re.sub(r"[{}\[\]']", "", str(k2_values))
+
+                    if k2_values_str is None:
+                        k2_values_str = str(k2_values)
+
+                    if len(current_line) > 0 and (len(current_line) + len(k2_values_str) > 40):
+                        # new line
+                        table_add += current_line + '\n'
+                        current_line = ''
+
+                    if concat_short_lines:
+                        if current_line == '':
+                            current_line += ' '*5
+                            if i == 0:
+                                # Only add dash to first
+                                current_line += "- "
+                            else:
+                                current_line += "  "
+                            # Don't draw bullet points:
+                            current_line += '| '
+                        else:
+                            current_line += '.  '
+                        current_line += f"{k2}: " + k2_values_str
+                    else:
+                        table_add += ' '*5
+                        if i == 0:
+                            # Only add dash to first
+                            table_add += "- "
+                        else:
+                            table_add += "  "
+
+                        if '\n' in k2_values_str:
+                            # Block format multiple lines
+                            table_add += '| ' + f"{k2}: " + "\n"
+                            k2_values_str_lines = k2_values_str.split('\n')
+                            for j in range(len(k2_values_str_lines)):
+                                line = k2_values_str_lines[j]
+                                table_add += ' '*7 + '|' + ' '*5 + line
+                                if j < len(k2_values_str_lines)-1:
+                                    table_add += "\n"
+                        else:
+                            if block_format:
+                                table_add += '| '
+                            else:
+                                table_add += '* '
+                            table_add += f"{k2}: " + k2_values_str
+
+                        table_add += "\n"
+                if current_line != '':
+                    table_add += current_line + '\n'
+            else:
+                table_add += ' '*5 + f"- {values}\n"
+
+            table += table_add
+
        else:
-            table += f"     - {value_str}\n"
-    return table
+            lengths = [len(str(v)) for v in values]
+            if bullets and max(lengths) > 5:
+                table += ' '*5 + "-\n"
+                for value in sorted(values):
+                    table += ' '*7 + f"- {value}\n"
+            else:
+                value_str = ', '.join(sorted(values))
+                table += ' '*5 + f"- {value_str}\n"
+
+    return table
--- a/yfinance/version.py
+++ b/yfinance/version.py
@@ -1 +1 @@
-version = "0.2.50"
+version = "0.2.55"
Author	SHA1	Message	Date
ValueRaider	5cc1197c5f	Version 0.2.55	2025-03-20 20:31:28 +00:00
ValueRaider	21a80ec719	Merge pull request #2372 from ranaroussi/dev sync dev -> main	2025-03-20 20:27:45 +00:00
ValueRaider	ca011b0738	Merge pull request #2369 from ranaroussi/fix/prices-tz-fetch-backup In very rare case _fetch_ticker_tz() fails, get TZ from info	2025-03-19 21:15:39 +00:00
ValueRaider	f26b436e0a	In very rare case _fetch_ticker_tz() fails, get TZ from info	2025-03-19 21:11:59 +00:00
ValueRaider	f208f09336	Merge pull request #2345 from dhruvan2006/fix/history-cache Fix: History caching	2025-03-19 19:49:32 +00:00
Dhruvan Gnanadhandayuthapani	f831ac2c1b	Fix history caching and allow period in data retrieval	2025-03-19 12:54:30 +01:00
ValueRaider	e195f2c6c5	Merge pull request #2368 from ranaroussi/fix/price-repair-various Price repair tweaks & fixes	2025-03-17 21:41:19 +00:00
ValueRaider	db5d0c9207	Price repair tweaks & fixes Div repair - new check for div-too-big AND adjust-too-small - improve handling div_too_big_and_pre_split _fix_prices_sudden_change - fix divide-by-zero error - special handling for comparing 'relativedelta' with another Tests - remove delisted tickers - update intraday test data so fetches work - fix intraday div-merge tests	2025-03-17 21:40:29 +00:00
ValueRaider	918eb31583	Merge pull request #2366 from ranaroussi/fix/earnings-dates-tz Fix earnings dates tz	2025-03-17 21:37:24 +00:00
ValueRaider	390422fe6b	Yahoo now returning earnings dates in UTC, stop assuming it's in exchange TZ	2025-03-16 15:55:40 +00:00
ValueRaider	25035a0ff3	Merge pull request #2354 from JanMkl/fix-issue-2343 Fixes issue 2343	2025-03-12 18:29:02 +00:00
Jan Melen	383b60d349	Fixes issue 2343 - Check that result is not zero length before appending it to query_info	2025-03-12 06:31:02 +02:00
ValueRaider	f28284a42d	Merge pull request #2321 from JanMkl/dev Direct TTM Financial Data Retrieval Feature	2025-03-02 19:38:10 +00:00
ValueRaider	fa3094daed	Bug report formatting	2025-03-01 18:02:38 +00:00
Jan Melen	102e266eab	Direct TTM Financial Data Retrieval Feature - Fetches the TTM values for cash flow and income statement from Yahoo. - Added tests test_ttm_income_statement and test_ttm_cash_flow. - When trailing 12 months income statement is fetched Yahoo returns income statement for last 5 quarters out of which only the latest is fully populated. Rest have NaN values and can be ignored. - get_financials_time_series when called with timescale trailing removes from data frame the extra columns. - Added quarterly_income_stmt to financials documentation - Added ttm_income_stmt to financials documentation - Added quarterly_cashflow to financials documentation - Added ttm_cashflow to financials documentation	2025-02-27 18:33:32 +02:00
ValueRaider	31cc2439f7	Merge pull request #2326 from dhruvan2006/refactor/log-user-agent Log user agent	2025-02-24 19:54:03 +00:00
Dhruvan Gnanadhandayuthapani	9b74b4e11f	Add debug log for user-agent header	2025-02-24 20:40:49 +01:00
Ran Aroussi	41426f6678	added star history :)	2025-02-23 21:33:26 +00:00
Ran Aroussi	eeb2d483d3	Update conf.py	2025-02-22 22:21:27 +00:00
Ran Aroussi	9a6f147de5	Update conf.py	2025-02-22 22:17:21 +00:00
Ran Aroussi	7be3069b6f	Added docs logo	2025-02-22 22:16:13 +00:00
Ran Aroussi	70c84a3482	Set docs domain to yfinance-python.org	2025-02-22 22:10:50 +00:00
Ran Aroussi	ae8720f007	Delete .DS_Store	2025-02-22 19:26:14 +00:00
Ran Aroussi	c388ca73e8	Minor design changes to readme file	2025-02-22 19:25:06 +00:00
Ran Aroussi	7709bc6ae3	yfinance "logo"	2025-02-22 19:06:11 +00:00
Ran Aroussi	9b33910a98	yfinance "logo"	2025-02-22 18:57:12 +00:00
ValueRaider	0ed941c2f5	Merge pull request #2268 from sshcli/PR1 Update README.md	2025-02-22 17:23:44 +00:00
ValueRaider	f2a8d01a13	Merge pull request #2313 from ranaroussi/main sync main -> dev	2025-02-22 13:02:49 +00:00
ValueRaider	403607c721	Version 0.2.54	2025-02-18 22:16:14 +00:00
ValueRaider	604f74ea5e	Merge pull request #2277 from dhruvan2006/fix/user-agent Fix: Change user-agent headers to resolve yfinance download issues	2025-02-18 22:14:43 +00:00
Dhruvan Gnanadhandayuthapani	95b59a7d53	Randomly pick User-Agent header on startup	2025-02-18 23:07:04 +01:00
sshcli	0b8ae726cb	Update README.md	2025-02-17 01:16:52 +00:00
ValueRaider	1ddc38c04f	Version 0.2.53	2025-02-15 18:16:37 +00:00
ValueRaider	fcab4ea37e	Merge pull request #2264 from ranaroussi/dev sync dev -> main	2025-02-15 18:14:44 +00:00
ValueRaider	d40ad6282a	Merge pull request #2260 from ranaroussi/fix/price-div-repair-tweaks Improve prices div repair	2025-02-15 17:25:21 +00:00
ValueRaider	c95c02fdfc	Improve prices div repair Extend div-repair to intraday Increase lookbacks for 'div date wrong' and 'phantom div' Slightly loosen default 'false threshold' for cluster of mixed False/True Fix bugs in: - detect 'phantom div' - handle div-too-big-and-missing-split Stop checking for down-changes after negative adj-close Handle avg-volume=0%	2025-02-15 17:10:07 +00:00
ValueRaider	5fb9cab817	Disable pytest.yml, need to mock all GETs to restore	2025-02-15 17:00:38 +00:00
ValueRaider	1c39ca4762	Merge pull request #2256 from dhruvan2006/fix/multi-bugs Fix: Interval check and error message formatting in `multi.py`	2025-02-02 17:32:47 +00:00
Dhruvan Gnanadhandayuthapani	27868a4677	Fix interval check and error message formatting in multi.py	2025-02-02 14:15:50 +01:00
ValueRaider	0da75493dc	Merge pull request #2233 from dhruvan2006/fix/tests Add GitHub Actions workflow and fix failing tests	2025-02-01 14:59:14 +00:00
ValueRaider	14c6d05854	Merge pull request #2253 from dhruvan2006/fix/doc-see-also-links Fix: Broken "See also" links in documentation	2025-02-01 13:31:23 +00:00
ValueRaider	8e369a2736	Merge pull request #2250 from R5dan/fix-market-doc Fix Market Docs	2025-02-01 13:25:38 +00:00
R5dan	e09f77eb06	Fix	2025-01-31 22:45:08 +00:00
R5dan	7db798e900	Fix docs	2025-01-31 22:45:08 +00:00
ValueRaider	3b7758b3ab	Version 0.2.52	2025-01-31 22:42:19 +00:00
Dhruvan Gnanadhandayuthapani	b729bcb1df	Fix broken 'See also' links in docs	2025-01-31 15:12:36 +01:00
ValueRaider	6d7c5b6f4c	Merge pull request #2249 from ranaroussi/fix/cookie-csrf-exception Stop CSRF-cookie-fetch fail killing yfinance	2025-01-30 20:25:32 +00:00
ValueRaider	45568fd765	Stop CSRF-cookie-fetch fail killing yfinance	2025-01-30 20:20:43 +00:00
ValueRaider	fc020d953a	Merge pull request #2247 from dhruvan2006/refactor/earnings-dates Refactor: Earnings Dates – Switch to API Fetching	2025-01-29 21:55:27 +00:00
Dhruvan Gnanadhandayuthapani	bc645bb7dd	Refactor earnings dates to use API instead of HTML	2025-01-29 21:53:58 +01:00
Dhruvan Gnanadhandayuthapani	74198aeed4	Add new test workflow	2025-01-27 23:53:36 +01:00
Dhruvan Gnanadhandayuthapani	890922f68b	Fix tests	2025-01-27 23:53:29 +01:00
ValueRaider	44ef4a73ac	Merge pull request #2244 from dhruvan2006/fix/holders-bad-data Fix: Bad data in Holders	2025-01-26 21:23:19 +00:00
ValueRaider	c745df183a	Merge pull request #2212 from ocp1006/ocp1006/fix_pre_post_fetch Add pre- / post-stock prices (and other useful information)	2025-01-26 21:19:54 +00:00
Dhruvan Gnanadhandayuthapani	0e069dbbff	Fix bad data in Holders	2025-01-26 21:27:43 +01:00
ValueRaider	25144351a4	Merge pull request #2230 from ranaroussi/feature/download-warn-autoadjust Warn user when use download() without specifying auto_adjust	2025-01-25 20:59:14 +00:00
ValueRaider	3dd7e40df2	Merge pull request #2234 from dhruvan2006/fix/holders Fix: Failed to parse holders JSON data	2025-01-22 21:50:05 +00:00
Dhruvan Gnanadhandayuthapani	5bbcedfe2e	Fix failed to parse holders JSON data	2025-01-22 19:31:16 +01:00
ValueRaider	fc049e1e0d	Warn user when use download() without specifying auto_adjust	2025-01-19 20:30:35 +00:00
ValueRaider	00a44a8132	Fix dead links in docs API index.rst	2025-01-18 16:28:23 +00:00
ValueRaider	4ec93d90f1	Version 0.2.52	2025-01-18 16:14:36 +00:00
ValueRaider	1081f1e809	Merge pull request #2226 from ranaroussi/dev sync dev -> main	2025-01-18 16:09:49 +00:00
ValueRaider	fed35b175f	Fix typo in screener RST doc file	2025-01-18 16:08:48 +00:00
ValueRaider	3f6a46d77d	Merge pull request #2207 from ranaroussi/feature/improve-screener-docs Improve Screener docs	2025-01-18 11:02:35 +00:00
ValueRaider	dee9a55e43	Simplify Screener & improve its docs - screener now just a function, not a class - add 'FundQuery' query class - add 'IS-IN' operator - fix 'GTE' & 'LTE' operators - more exchanges Predefined tweaks: - convert predefined query strings to use EquityQuery (better docs) - send predefined queries to Yahoo's predefined endpoint - expose PREDEFINED_SCREENER_QUERIES via __init__.py - screen() argument defaults don't apply to predefineds	2025-01-17 22:15:18 +00:00
ValueRaider	20b3b438e2	Merge pull request #2211 from dhruvan2006/fix/custom-period Fix: Restore dev branch regression with Ticker.history()	2025-01-11 20:57:26 +00:00
ocp1006	0be2ce1fd5	Add pre- / post-stock prices (and other useful information)	2025-01-08 20:11:26 +02:00
Dhruvan Gnanadhandayuthapani	2d60f9ad2a	Fix custom periods	2025-01-07 13:54:50 +01:00
Dhruvan Gnanadhandayuthapani	2919ccb732	Add utils method for validating period	2025-01-07 13:52:40 +01:00
ValueRaider	ffa697cea1	Merge pull request #2202 from dhruvan2006/fix/search-quotes Fix: Extra key in Search quotes	2025-01-05 15:09:31 +00:00
Dhruvan Gnanadhandayuthapani	e3aae8a8ba	Expand Search test suite	2025-01-03 00:35:53 +01:00
Dhruvan Gnanadhandayuthapani	4ded15740e	Fix extra row in search quotes	2025-01-03 00:33:50 +01:00
ValueRaider	506f792772	Merge pull request #2199 from dhruvan2006/fix/requirements Added missing extra dependencies to requirements.txt	2025-01-02 21:23:27 +00:00
Dhruvan Gnanadhandayuthapani	5a342cf8b0	Add missing dependencies to requirements.txt	2025-01-02 15:06:22 +01:00
ValueRaider	52f6462d20	Merge pull request #2194 from dhruvan2006/fix/eps-revisions Fix: Remove hardcoded keys in Analysis	2025-01-01 21:00:33 +00:00
ValueRaider	508afcae23	Analysis: refactor some fetchers, fix tests Refactor some fetch functions (duplicate logic). Fix failing unit tests.	2025-01-01 20:57:55 +00:00
Dhruvan Gnanadhandayuthapani	a9859e2f9f	Remove hardcoded keys in Analysis	2024-12-31 17:42:03 +01:00
ValueRaider	d0e59203cc	Merge pull request #2191 from R5dan/Update-Search Update Search class to allow more options	2024-12-30 15:09:08 +00:00
R5dan	b94173bddf	Update Search class to allow more options	2024-12-30 15:08:19 +00:00
ValueRaider	a928eb45fd	Merge pull request #2192 from R5dan/custom-period Custom period	2024-12-30 15:03:54 +00:00
R5dan	60c7477a03	Custom period	2024-12-30 15:02:37 +00:00
ValueRaider	42d946cee1	Fix TZ-fetch hiding 429 rate-limit error	2024-12-29 18:34:41 +00:00
ValueRaider	24958d5442	Merge pull request #2175 from R5dan/market-summary-v2 Add market Summary	2024-12-29 17:49:05 +00:00
R5dan	966473f7c7	Add Market summary & status	2024-12-29 17:33:51 +00:00
ValueRaider	ae7f371ada	Merge pull request #2180 from dhruvan2006/rate-limit-exception Raise Exception if Rate Limited	2024-12-22 13:12:11 +00:00
Dhruvan Gnanadhandayuthapani	af7806640f	Raise error if rate limited	2024-12-22 11:12:19 +01:00
ValueRaider	64b4726c4e	Merge pull request #2184 from ranaroussi/main sync main -> dev	2024-12-20 21:39:14 +00:00
ValueRaider	5adddf3e88	Version 0.2.51	2024-12-19 22:46:16 +00:00
ValueRaider	5bbe358ad7	Merge pull request #2182 from ranaroussi/dev dev -> main	2024-12-19 22:42:48 +00:00
ValueRaider	38c1323313	Merge pull request #2169 from hjlgood/main Fix get_earnings_dates method	2024-12-19 22:42:36 +00:00
ValueRaider	70243657a7	Earnings dates: fix time-shift, remove 'add_cokies'	2024-12-18 21:07:30 +00:00
jeong	e242617237	Fix Ticker.earnings_dates	2024-12-18 21:04:21 +00:00
ValueRaider	59d0974773	Merge pull request #2173 from dhruvan2006/feature/full-news Feature: Fetch upto 200 news articles	2024-12-14 22:05:59 +00:00
Dhruvan Gnanadhandayuthapani	5bc3ec01d0	Refactor get_news() to fetch more articles	2024-12-14 18:21:15 +01:00
ValueRaider	3f911745c4	Merge pull request #2171 from R5dan/remove-mkdocs Remove mkdocs	2024-12-08 18:23:22 +00:00
R5dan	f95eef6489	Remove mkdocs	2024-12-08 17:28:41 +00:00
ValueRaider	3ac85397cb	Merge pull request #2160 from dhruvan2006/feature/search Feature: Add search feature	2024-12-06 19:44:02 +00:00
Dhruvan Gnanadhandayuthapani	873ab0f574	Added new search feature Refactor Search Added unittest for Search Documentation for Search Fix unused import	2024-12-05 23:53:33 +01:00
ValueRaider	f5264649b9	Merge pull request #2168 from ericpien/screener_return_self Update Screener	2024-12-05 22:36:20 +00:00
Eric Pien	90731511ed	Update Screener - Setting Body to Screener returns the Screener Object to enable method chaining. (i.e. `r = yf.Screener().set_predefined_body("day_gainers").response`) - Limit query size to 250 and raise error if larger. This also avoids unnecessary network calls and makes the issue clearer.	2024-12-04 12:45:14 -08:00
ValueRaider	a8f0998ab8	Merge pull request #2147 from dhruvan2006/fix/price-auto-adjust Default yf.download() to auto adjust prices	2024-11-23 19:57:22 +00:00
Dhruvan Gnanadhandayuthapani	02785d61a1	Default yf.download() to auto adjust prices	2024-11-23 19:50:51 +01:00