Compare commits
15 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
436a606467 | ||
|
|
bedeeaa7f8 | ||
|
|
b1805f444b | ||
|
|
510da0bc7a | ||
|
|
38bfa3c5cd | ||
|
|
ceba1cdc60 | ||
|
|
daf9b5af85 | ||
|
|
ec0d55fb24 | ||
|
|
359ef985f5 | ||
|
|
7b4fa2fe8f | ||
|
|
6c40415826 | ||
|
|
2f7aeb955d | ||
|
|
d01e7e86f4 | ||
|
|
050fc93bc7 | ||
|
|
da2cdb9464 |
@@ -1,43 +1,33 @@
|
||||
{
|
||||
"name": "Lean Development Container",
|
||||
|
||||
"workspaceMount": "source=${localWorkspaceFolder},target=/Lean,type=bind",
|
||||
"workspaceFolder": "/Lean",
|
||||
|
||||
// Use devcontainer Dockerfile that is based on Lean foundation image
|
||||
"build": {
|
||||
"dockerfile": "Dockerfile"
|
||||
},
|
||||
//See https://containers.dev/implementors/json_reference/ for a comprehensive json schema used to define this file.
|
||||
"customizations": {
|
||||
"vscode": {
|
||||
// Add the IDs of extensions you want installed when the container is created.
|
||||
"extensions": [
|
||||
"ms-dotnettools.csdevkit",
|
||||
"ms-python.python",
|
||||
"eamodio.gitlens",
|
||||
"yzhang.markdown-all-in-one",
|
||||
"SonarSource.sonarlint-vscode"
|
||||
],
|
||||
// Set *default* vscode specific settings.json values on container create.
|
||||
"settings": {
|
||||
"terminal.integrated.profiles.linux": {
|
||||
"bash": {
|
||||
"path": "bash",
|
||||
"icon": "terminal-bash"
|
||||
}
|
||||
}
|
||||
"build": { "dockerfile": "Dockerfile" },
|
||||
|
||||
// Set *default* container specific settings.json values on container create.
|
||||
"settings": {
|
||||
"terminal.integrated.profiles.linux": {
|
||||
"bash": {
|
||||
"path": "bash",
|
||||
"icon": "terminal-bash"
|
||||
}
|
||||
}
|
||||
},
|
||||
//use the same network configuration as the host machine, ensuring no problems with firewalls, proxies etc.
|
||||
"runArgs": [
|
||||
"--network=host"
|
||||
],
|
||||
|
||||
// Add the IDs of extensions you want installed when the container is created.
|
||||
"extensions": ["ms-dotnettools.csharp", "ms-python.python", "ms-python.vscode-pylance", "formulahendry.dotnet-test-explorer", "eamodio.gitlens", "yzhang.markdown-all-in-one"],
|
||||
|
||||
// Use 'forwardPorts' to make a list of ports inside the container available locally.
|
||||
// "forwardPorts": [],
|
||||
|
||||
// Uncomment the next line to run commands after the container is created - for example installing curl.
|
||||
"postCreateCommand": "dotnet nuget add source /Lean/LocalPackages;chmod u+x /Lean/.vscode/launch_research.sh;dos2unix /Lean/.vscode/launch_research.sh",
|
||||
|
||||
// Add mounts to docker container
|
||||
"mounts": [
|
||||
"mounts": [
|
||||
// Example data mount from local machine, must use target directory in Config.json
|
||||
// "source=C:/Users/XXXXXXXXXXXX/Lean/Data,target=/Data,type=bind,consistency=cached"
|
||||
]
|
||||
|
||||
1
.github/ISSUE_TEMPLATE/config.yml
vendored
1
.github/ISSUE_TEMPLATE/config.yml
vendored
@@ -1 +0,0 @@
|
||||
blank_issues_enabled: false
|
||||
26
.github/ISSUE_TEMPLATE/feature_request.md
vendored
26
.github/ISSUE_TEMPLATE/feature_request.md
vendored
@@ -1,26 +0,0 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: ''
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
#### Expected Behavior
|
||||
<!--- Required. Describe the behavior you expect to see for your case. -->
|
||||
|
||||
#### Actual Behavior
|
||||
<!--- Required. Describe the actual behavior for your case. -->
|
||||
|
||||
#### Potential Solution
|
||||
<!--- Optional. Describe any potential solutions and/or thoughts as to what may be causing the difference between expected and actual behavior. -->
|
||||
|
||||
#### Checklist
|
||||
<!--- Confirm that you've provided all the required information. -->
|
||||
<!--- Required fields --->
|
||||
- [ ] I have completely filled out this template
|
||||
- [ ] I have confirmed that this issue exists on the current `master` branch
|
||||
- [ ] I have confirmed that this is not a duplicate issue by searching [issues](https://github.com/QuantConnect/Lean/issues)
|
||||
|
||||
<!--- Template inspired by https://github.com/stevemao/github-issue-templates -->
|
||||
@@ -1,11 +1,4 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
title: ''
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
<!--- This template provides sections for bugs and features. Please delete any irrelevant sections before submitting -->
|
||||
|
||||
#### Expected Behavior
|
||||
<!--- Required. Describe the behavior you expect to see for your case. -->
|
||||
@@ -31,4 +24,4 @@ assignees: ''
|
||||
<!--- Required for Bugs, feature request can delete the line below. -->
|
||||
- [ ] I have provided detailed steps to reproduce the issue
|
||||
|
||||
<!--- Template inspired by https://github.com/stevemao/github-issue-templates -->
|
||||
<!--- Template inspired by https://github.com/stevemao/github-issue-templates -->
|
||||
2
.github/workflows/api-tests.yml
vendored
2
.github/workflows/api-tests.yml
vendored
@@ -32,4 +32,4 @@ jobs:
|
||||
# Build
|
||||
dotnet build /p:Configuration=Release /v:quiet /p:WarningLevel=1 QuantConnect.Lean.sln
|
||||
# Run Projects tests
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --blame-hang-timeout 7minutes --blame-crash --logger "console;verbosity=detailed" --filter "FullyQualifiedName=QuantConnect.Tests.API.ProjectTests|FullyQualifiedName=QuantConnect.Tests.API.ObjectStoreTests" -- TestRunParameters.Parameter\(name=\"log-handler\", value=\"ConsoleErrorLogHandler\"\)
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --blame-hang-timeout 300seconds --blame-crash --filter "FullyQualifiedName=QuantConnect.Tests.API.ProjectTests|ObjectStoreTests" -- TestRunParameters.Parameter\(name=\"log-handler\", value=\"ConsoleErrorLogHandler\"\)
|
||||
|
||||
10
.github/workflows/gh-actions.yml
vendored
10
.github/workflows/gh-actions.yml
vendored
@@ -13,8 +13,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
fetch-depth: 0 # Ensures we fetch all history
|
||||
|
||||
- name: Liberate disk space
|
||||
uses: jlumbroso/free-disk-space@main
|
||||
@@ -30,15 +28,9 @@ jobs:
|
||||
options: --workdir /__w/Lean/Lean -v /home/runner/work:/__w -e GITHUB_REF=${{ github.ref }} -e PYPI_API_TOKEN=${{ secrets.PYPI_API_TOKEN }} -e ADDITIONAL_STUBS_REPOS=${{ secrets.ADDITIONAL_STUBS_REPOS }} -e QC_GIT_TOKEN=${{ secrets.QC_GIT_TOKEN }}
|
||||
shell: bash
|
||||
run: |
|
||||
# Add exception
|
||||
git config --global --add safe.directory /__w/Lean/Lean
|
||||
# Get Last Commit of the Current Tag
|
||||
TAG_COMMIT=$(git rev-parse HEAD) && echo "CURRENT BRANCH LAST COMMIT $TAG_COMMIT"
|
||||
# Get Last Commit of the master
|
||||
MASTER_COMMIT=$(git rev-parse origin/master) && echo "MASTER BRANCH LAST COMMIT $MASTER_COMMIT"
|
||||
# Build
|
||||
dotnet build /p:Configuration=Release /v:quiet /p:WarningLevel=1 QuantConnect.Lean.sln && \
|
||||
# Run Tests
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --blame-hang-timeout 300seconds --blame-crash --filter "TestCategory!=TravisExclude&TestCategory!=ResearchRegressionTests" -- TestRunParameters.Parameter\(name=\"log-handler\", value=\"ConsoleErrorLogHandler\"\) && \
|
||||
# Generate & Publish python stubs
|
||||
echo "GITHUB_REF $GITHUB_REF" && if [[ $GITHUB_REF = refs/tags/* && "$TAG_COMMIT" = "$MASTER_COMMIT" ]]; then echo "Generating stubs" && (chmod +x ci_build_stubs.sh && ./ci_build_stubs.sh -t -g -p); else echo "Skipping stub generation"; fi
|
||||
echo "GITHUB_REF $GITHUB_REF" && if [[ $GITHUB_REF = refs/tags/* ]]; then (chmod +x ci_build_stubs.sh && ./ci_build_stubs.sh -t -g -p); else echo "Skipping stub generation"; fi
|
||||
|
||||
@@ -28,9 +28,9 @@ jobs:
|
||||
shell: bash
|
||||
run: |
|
||||
# install dependencies
|
||||
pip3 install papermill==2.4.0 clr-loader==0.2.9
|
||||
pip3 install papermill==2.4.0 clr-loader==0.1.6
|
||||
# install kernel
|
||||
dotnet tool install -g --no-cache --version 1.0.661703 --add-source "https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json" Microsoft.dotnet-interactive
|
||||
dotnet tool install --global Microsoft.dotnet-interactive --version 1.0.340501
|
||||
# Add dotnet tools to Path
|
||||
export PATH="$HOME/.dotnet/tools:$PATH"
|
||||
# activate kernel for jupyter
|
||||
|
||||
32
.github/workflows/syntax-tests.yml
vendored
32
.github/workflows/syntax-tests.yml
vendored
@@ -1,32 +0,0 @@
|
||||
name: Syntax Tests
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: ['*']
|
||||
tags: ['*']
|
||||
pull_request:
|
||||
branches: [master]
|
||||
|
||||
jobs:
|
||||
build:
|
||||
runs-on: ubuntu-24.04
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
|
||||
- name: Liberate disk space
|
||||
uses: jlumbroso/free-disk-space@main
|
||||
with:
|
||||
tool-cache: true
|
||||
large-packages: false
|
||||
docker-images: false
|
||||
swap-storage: false
|
||||
- name: Run Syntax Test
|
||||
uses: addnab/docker-run-action@v3
|
||||
with:
|
||||
image: quantconnect/lean:foundation
|
||||
options: --workdir /__w/Lean/Lean -v /home/runner/work:/__w
|
||||
shell: bash
|
||||
run: |
|
||||
pip install --no-cache-dir quantconnect-stubs types-requests==2.32.* types-pytz==2025.2.0.* mypy==1.15.0 && \
|
||||
python run_syntax_check.py
|
||||
18
.github/workflows/virtual-environments.yml
vendored
18
.github/workflows/virtual-environments.yml
vendored
@@ -30,11 +30,11 @@ jobs:
|
||||
# Build
|
||||
dotnet build /p:Configuration=Release /v:quiet /p:WarningLevel=1 QuantConnect.Lean.sln && \
|
||||
# Python Virtual Environment System Packages
|
||||
python -m venv /lean-testenv --system-site-packages && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.221 && deactivate && \
|
||||
python -m venv /lean-testenv --system-site-packages && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.185 && deactivate && \
|
||||
# Run Virtual Environment Test System Packages
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonVirtualEnvironmentTests.AssertVirtualEnvironment" && \
|
||||
# Python Virtual Environment
|
||||
rm -rf /lean-testenv && python -m venv /lean-testenv && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.221 && deactivate && \
|
||||
rm -rf /lean-testenv && python -m venv /lean-testenv && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.185 && deactivate && \
|
||||
# Run Virtual Environment Test
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonVirtualEnvironmentTests.AssertVirtualEnvironment" && \
|
||||
# Run Python Package Tests
|
||||
@@ -46,21 +46,17 @@ jobs:
|
||||
# Run TensorlyTest Python Package Test
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.TensorlyTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run NeuralTangents, Ignite Python Package Test
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.IgniteTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.NeuralTangentsTest|IgniteTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run TensorflowTest
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.TensorflowTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run TensorflowProbability
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.TensorflowProbabilityTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run Hvplot Python Package Test
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.RiskparityportfolioTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.HvplotTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run Transformers
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.Transformers" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.XTransformers" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
# Run Shap
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.KerasTest|PyvinecopulibTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.StatsForecast|Mlforecast" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.MlxtendTest|Thinc" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.ModuleVersionTestExplicit" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.Neuralforecast" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.Tsfel" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.ScikitOptimizeTest" --blame-hang-timeout 120seconds --blame-crash
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.ShapTest|KerasTest|PyvinecopulibTest" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.Mlforecast" --blame-hang-timeout 120seconds --blame-crash && \
|
||||
dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.MlxtendTest|Thinc" --blame-hang-timeout 120seconds --blame-crash
|
||||
|
||||
3
.gitignore
vendored
3
.gitignore
vendored
@@ -279,5 +279,4 @@ QuantConnect.Lean.sln.DotSettings*
|
||||
Research/Notebooks
|
||||
|
||||
#Docker result files
|
||||
Results/
|
||||
QuantConnect.Lean.sln.DotSettings
|
||||
Results/
|
||||
@@ -115,7 +115,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$26000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "119.89%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d06c26f557b83d8d42ac808fe2815a1e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -151,7 +151,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$120000000.00"},
|
||||
{"Lowest Capacity Asset", "IBM R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "41.18%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "713c956deb193bed2290e9f379c0f9f9"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -41,11 +41,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
var aapl = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
|
||||
|
||||
_contract = OptionChain(aapl)
|
||||
.OrderBy(symbol => symbol.ID.OptionRight)
|
||||
.ThenBy(symbol => symbol.ID.StrikePrice)
|
||||
.ThenBy(symbol => symbol.ID.Date)
|
||||
.ThenBy(symbol => symbol.ID)
|
||||
.FirstOrDefault(optionContract => optionContract.ID.OptionRight == OptionRight.Call);
|
||||
.OrderBy(x => x.ID.Symbol)
|
||||
.FirstOrDefault(optionContract => optionContract.ID.OptionRight == OptionRight.Call
|
||||
&& optionContract.ID.OptionStyle == OptionStyle.American);
|
||||
AddOptionContract(_contract);
|
||||
}
|
||||
|
||||
@@ -87,7 +85,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 26;
|
||||
public long DataPoints => 24;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -130,7 +128,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -82,7 +82,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 25;
|
||||
public long DataPoints => 24;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -125,7 +125,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
*
|
||||
* 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.
|
||||
@@ -107,7 +107,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 26;
|
||||
public int AlgorithmHistoryDataPoints => 77;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -122,18 +122,18 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Total Orders", "436"},
|
||||
{"Average Win", "0.28%"},
|
||||
{"Average Loss", "-0.01%"},
|
||||
{"Compounding Annual Return", "1.925%"},
|
||||
{"Compounding Annual Return", "1.926%"},
|
||||
{"Drawdown", "1.000%"},
|
||||
{"Expectancy", "1.649"},
|
||||
{"Expectancy", "1.650"},
|
||||
{"Start Equity", "10000.00"},
|
||||
{"End Equity", "10410.99"},
|
||||
{"Net Profit", "4.110%"},
|
||||
{"End Equity", "10411.11"},
|
||||
{"Net Profit", "4.111%"},
|
||||
{"Sharpe Ratio", "0.332"},
|
||||
{"Sortino Ratio", "0.313"},
|
||||
{"Probabilistic Sharpe Ratio", "74.084%"},
|
||||
{"Loss Rate", "90%"},
|
||||
{"Win Rate", "10%"},
|
||||
{"Profit-Loss Ratio", "25.25"},
|
||||
{"Profit-Loss Ratio", "25.26"},
|
||||
{"Alpha", "0.003"},
|
||||
{"Beta", "0.001"},
|
||||
{"Annual Standard Deviation", "0.01"},
|
||||
@@ -145,8 +145,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$87000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSD 2XR"},
|
||||
{"Portfolio Turnover", "2.22%"},
|
||||
{"Drawdown Recovery", "139"},
|
||||
{"OrderListHash", "896ecc92440d51ed26644aac5b8706e4"}
|
||||
{"OrderListHash", "4fcffc45d82203bb6ded8a0e86070b4f"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -145,7 +145,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$35000000.00"},
|
||||
{"Lowest Capacity Asset", "IBM R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "1.51%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "1db1ce949db995bba20ed96ea5e2438a"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -49,7 +49,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
contractDepthOffset: 0
|
||||
);
|
||||
|
||||
_futureContract = AddFutureContract(FuturesChain(_continuousContract.Symbol).First());
|
||||
_futureContract = AddFutureContract(FutureChainProvider.GetFutureContractList(_continuousContract.Symbol, Time).First());
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
@@ -115,12 +115,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 61;
|
||||
public long DataPoints => 76;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 1;
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -132,34 +132,33 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// </summary>
|
||||
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "4"},
|
||||
{"Total Orders", "3"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "-0.10%"},
|
||||
{"Compounding Annual Return", "-14.232%"},
|
||||
{"Drawdown", "0.200%"},
|
||||
{"Average Loss", "-0.03%"},
|
||||
{"Compounding Annual Return", "-2.594%"},
|
||||
{"Drawdown", "0.000%"},
|
||||
{"Expectancy", "-1"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "99803.9"},
|
||||
{"Net Profit", "-0.196%"},
|
||||
{"Sharpe Ratio", "-7.95"},
|
||||
{"End Equity", "99966.4"},
|
||||
{"Net Profit", "-0.034%"},
|
||||
{"Sharpe Ratio", "-10.666"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "1.216%"},
|
||||
{"Loss Rate", "100%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "-0.128"},
|
||||
{"Beta", "0.026"},
|
||||
{"Annual Standard Deviation", "0.016"},
|
||||
{"Alpha", "-0.029"},
|
||||
{"Beta", "0.004"},
|
||||
{"Annual Standard Deviation", "0.003"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-1.186"},
|
||||
{"Tracking Error", "0.237"},
|
||||
{"Treynor Ratio", "-4.747"},
|
||||
{"Information Ratio", "-0.768"},
|
||||
{"Tracking Error", "0.241"},
|
||||
{"Treynor Ratio", "-6.368"},
|
||||
{"Total Fees", "$8.60"},
|
||||
{"Estimated Strategy Capacity", "$2000.00"},
|
||||
{"Lowest Capacity Asset", "ES VU1EHIDJYLMP"},
|
||||
{"Portfolio Turnover", "66.50%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "4720516462fcabb4db1aead46051cb4a"}
|
||||
{"Estimated Strategy Capacity", "$5500000.00"},
|
||||
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
||||
{"Portfolio Turnover", "66.80%"},
|
||||
{"OrderListHash", "579e2e83dd7e5e7648c47e9eff132460"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -169,7 +169,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 2;
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -207,7 +207,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$22000000.00"},
|
||||
{"Lowest Capacity Asset", "ES XFH59UK0MYO1"},
|
||||
{"Portfolio Turnover", "122.11%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d744fa8beaa60546c84924ed68d945d9"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -93,12 +93,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 9922;
|
||||
public long DataPoints => 12172;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 2;
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -113,7 +113,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Total Orders", "20"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "88398927.578%"},
|
||||
{"Compounding Annual Return", "386219349.202%"},
|
||||
{"Drawdown", "5.200%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
@@ -134,10 +134,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "68696.045"},
|
||||
{"Total Fees", "$35.70"},
|
||||
{"Estimated Strategy Capacity", "$2600000.00"},
|
||||
{"Lowest Capacity Asset", "ES 31C3JQS9DCF1G|ES XCZJLC9NOB29"},
|
||||
{"Lowest Capacity Asset", "ES 31C3JQS9D84PW|ES XCZJLC9NOB29"},
|
||||
{"Portfolio Turnover", "495.15%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "af830085995d0b8fa0d33a6e80dd1241"}
|
||||
{"OrderListHash", "85257286f088992d599c1ad0799a6237"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,145 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Securities;
|
||||
using QuantConnect.Securities.Future;
|
||||
using QuantConnect.Securities.Option;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
/// <summary>
|
||||
/// Algorithm asserting AddFutureOptionContract does not throw even when the underlying security configurations are internal
|
||||
/// </summary>
|
||||
public class AddFutureOptionContractWithInternalMappedUnderlyingRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
private Future _continuousContract;
|
||||
private Option _fopContract;
|
||||
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2020, 01, 04);
|
||||
SetEndDate(2020, 01 , 06);
|
||||
|
||||
_continuousContract = AddFuture(Futures.Indices.SP500EMini,
|
||||
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
|
||||
dataMappingMode: DataMappingMode.LastTradingDay,
|
||||
contractDepthOffset: 0);
|
||||
}
|
||||
|
||||
public override void OnSecuritiesChanged(SecurityChanges changes)
|
||||
{
|
||||
if (changes.AddedSecurities.Any(security => security.Symbol == _continuousContract.Symbol))
|
||||
{
|
||||
if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_continuousContract.Mapped).Count != 0 ||
|
||||
SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_continuousContract.Mapped, includeInternalConfigs: true).Count == 0)
|
||||
{
|
||||
throw new RegressionTestException("Continuous future underlying should only have internal subscription configs");
|
||||
}
|
||||
|
||||
var contract = OptionChain(_continuousContract.Mapped).FirstOrDefault()?.Symbol;
|
||||
|
||||
try
|
||||
{
|
||||
_fopContract = AddFutureOptionContract(contract);
|
||||
}
|
||||
catch (Exception e)
|
||||
{
|
||||
throw new RegressionTestException($"Failed to add future option contract {contract}", e);
|
||||
}
|
||||
}
|
||||
else if (_fopContract != null && changes.AddedSecurities.Any(security => security.Symbol == _fopContract.Symbol))
|
||||
{
|
||||
var underlyingSubscriptions = SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_fopContract.Symbol.Underlying);
|
||||
if (underlyingSubscriptions.Any(x => x.DataNormalizationMode == DataNormalizationMode.Raw))
|
||||
{
|
||||
throw new RegressionTestException("Future option underlying should not have raw data normalization mode");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public override void OnEndOfAlgorithm()
|
||||
{
|
||||
if (_fopContract == null)
|
||||
{
|
||||
throw new RegressionTestException("Failed to add future option contract");
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
public bool CanRunLocally { get; } = true;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate which languages this algorithm is written in.
|
||||
/// </summary>
|
||||
public List<Language> Languages { get; } = new() { Language.CSharp };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 3181;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 1;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "0"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "100000"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "0%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "0"},
|
||||
{"Beta", "0"},
|
||||
{"Annual Standard Deviation", "0"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-14.395"},
|
||||
{"Tracking Error", "0.043"},
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -108,7 +108,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
return;
|
||||
}
|
||||
|
||||
foreach (var chain in slice.OptionChains.Values.OrderBy(x => x.Symbol.Underlying.ID.Date))
|
||||
foreach (var chain in slice.OptionChains.Values)
|
||||
{
|
||||
var futureInvested = false;
|
||||
var optionInvested = false;
|
||||
@@ -220,7 +220,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 319494;
|
||||
public long DataPoints => 608380;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -240,31 +240,30 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Total Orders", "2"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "430.834%"},
|
||||
{"Drawdown", "4.200%"},
|
||||
{"Compounding Annual Return", "347.065%"},
|
||||
{"Drawdown", "0.900%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "102313.03"},
|
||||
{"Net Profit", "2.313%"},
|
||||
{"Sharpe Ratio", "17.721"},
|
||||
{"End Equity", "101950.53"},
|
||||
{"Net Profit", "1.951%"},
|
||||
{"Sharpe Ratio", "15.402"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "95.977%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "2.663"},
|
||||
{"Beta", "1.264"},
|
||||
{"Annual Standard Deviation", "0.184"},
|
||||
{"Annual Variance", "0.034"},
|
||||
{"Information Ratio", "16.514"},
|
||||
{"Tracking Error", "0.169"},
|
||||
{"Treynor Ratio", "2.574"},
|
||||
{"Alpha", "1.886"},
|
||||
{"Beta", "1.066"},
|
||||
{"Annual Standard Deviation", "0.155"},
|
||||
{"Annual Variance", "0.024"},
|
||||
{"Information Ratio", "13.528"},
|
||||
{"Tracking Error", "0.142"},
|
||||
{"Treynor Ratio", "2.237"},
|
||||
{"Total Fees", "$3.57"},
|
||||
{"Estimated Strategy Capacity", "$28000000.00"},
|
||||
{"Lowest Capacity Asset", "ES XCZJLCA62LNO|ES XCZJLC9NOB29"},
|
||||
{"Portfolio Turnover", "33.84%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "7c82013ecabca41591e0253a477025dd"}
|
||||
{"Estimated Strategy Capacity", "$760000.00"},
|
||||
{"Lowest Capacity Asset", "ES XCZJLDQX2SRO|ES XCZJLC9NOB29"},
|
||||
{"Portfolio Turnover", "32.31%"},
|
||||
{"OrderListHash", "7a04f66a30d793bf187c2695781ad3ee"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,131 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
using System.Collections.Generic;
|
||||
using QuantConnect.Algorithm.Framework.Selection;
|
||||
using QuantConnect.Interfaces;
|
||||
using System;
|
||||
using QuantConnect.Securities;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
/// <summary>
|
||||
/// This example demonstrates how to use the FutureUniverseSelectionModel to select futures contracts for a given underlying asset.
|
||||
/// The model is set to update daily, and the algorithm ensures that the selected contracts meet specific criteria.
|
||||
/// This also includes a check to ensure that only future contracts are added to the algorithm's universe.
|
||||
/// </summary>
|
||||
public class AddFutureUniverseSelectionModelRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2013, 10, 08);
|
||||
SetEndDate(2013, 10, 10);
|
||||
|
||||
SetUniverseSelection(new FutureUniverseSelectionModel(
|
||||
TimeSpan.FromDays(1),
|
||||
time => new List<Symbol> {
|
||||
QuantConnect.Symbol.Create(Futures.Indices.SP500EMini, SecurityType.Future, Market.CME)
|
||||
}
|
||||
));
|
||||
}
|
||||
|
||||
public override void OnSecuritiesChanged(SecurityChanges changes)
|
||||
{
|
||||
if (changes.AddedSecurities.Count > 0)
|
||||
{
|
||||
foreach (var security in changes.AddedSecurities)
|
||||
{
|
||||
if (security.Symbol.SecurityType != SecurityType.Future)
|
||||
{
|
||||
throw new RegressionTestException($"Expected future security, but found '{security.Symbol.SecurityType}'");
|
||||
}
|
||||
if (security.Symbol.ID.Symbol != "ES")
|
||||
{
|
||||
throw new RegressionTestException($"Expected future symbol 'ES', but found '{security.Symbol.ID.Symbol}");
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public override void OnEndOfAlgorithm()
|
||||
{
|
||||
if (ActiveSecurities.Count == 0)
|
||||
{
|
||||
throw new RegressionTestException("No active securities found. Expected at least one active security");
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
public bool CanRunLocally { get; } = true;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate which languages this algorithm is written in.
|
||||
/// </summary>
|
||||
public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 26094;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "0"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "100000"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "0%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "0"},
|
||||
{"Beta", "0"},
|
||||
{"Annual Standard Deviation", "0"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-66.775"},
|
||||
{"Tracking Error", "0.243"},
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -117,7 +117,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 37598;
|
||||
public long DataPoints => 37597;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -158,10 +158,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "2.01"},
|
||||
{"Total Fees", "$2.00"},
|
||||
{"Estimated Strategy Capacity", "$5700000.00"},
|
||||
{"Lowest Capacity Asset", "AOL VRKS95ENPM9Y|AOL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AOL VRKS95ENLBYE|AOL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "0.55%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d314aef81752b6583fd58f9e49054cd4"}
|
||||
{"OrderListHash", "24191a4a3bf11c07622a21266618193d"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -169,7 +169,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 5800;
|
||||
public long DataPoints => 5798;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -210,10 +210,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0.335"},
|
||||
{"Total Fees", "$2.00"},
|
||||
{"Estimated Strategy Capacity", "$2800000.00"},
|
||||
{"Lowest Capacity Asset", "AOL VRKS95ENPM9Y|AOL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AOL VRKS95ENLBYE|AOL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "1.14%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "e33b98d8e94ed92d0441fc6fe0d461fb"}
|
||||
{"OrderListHash", "cde7b518b7ad6d86cff6e5e092d9a413"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -116,7 +116,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 3818;
|
||||
public long DataPoints => 3814;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -157,10 +157,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$2.00"},
|
||||
{"Estimated Strategy Capacity", "$5000000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL VXBK4R62H7S6|AAPL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AAPL VXBK4R62CXGM|AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "22.70%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "71511e4929377cd55fbf5e7e9555c248"}
|
||||
{"OrderListHash", "29fd1b75f6db05dd823a6db7e8bd90a9"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,146 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
using System.Collections.Generic;
|
||||
using QuantConnect.Algorithm.Framework.Selection;
|
||||
using QuantConnect.Interfaces;
|
||||
using System;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
/// <summary>
|
||||
/// This example demonstrates how to use the OptionUniverseSelectionModel to select options contracts based on specified conditions.
|
||||
/// The model is updated daily and selects different options based on the current date.
|
||||
/// The algorithm ensures that only valid option contracts are selected for the universe.
|
||||
/// </summary>
|
||||
public class AddOptionUniverseSelectionModelRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
private int _optionCount;
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2014, 06, 05);
|
||||
SetEndDate(2014, 06, 06);
|
||||
|
||||
UniverseSettings.Resolution = Resolution.Minute;
|
||||
SetUniverseSelection(new OptionUniverseSelectionModel(
|
||||
TimeSpan.FromDays(1),
|
||||
SelectOptionChainSymbols
|
||||
));
|
||||
}
|
||||
|
||||
private static IEnumerable<Symbol> SelectOptionChainSymbols(DateTime utcTime)
|
||||
{
|
||||
var newYorkTime = utcTime.ConvertFromUtc(TimeZones.NewYork);
|
||||
if (newYorkTime.Date < new DateTime(2014, 06, 06))
|
||||
{
|
||||
yield return QuantConnect.Symbol.Create("TWX", SecurityType.Option, Market.USA);
|
||||
}
|
||||
|
||||
if (newYorkTime.Date >= new DateTime(2014, 06, 06))
|
||||
{
|
||||
yield return QuantConnect.Symbol.Create("AAPL", SecurityType.Option, Market.USA);
|
||||
}
|
||||
}
|
||||
|
||||
public override void OnSecuritiesChanged(SecurityChanges changes)
|
||||
{
|
||||
if (changes.AddedSecurities.Count > 0)
|
||||
{
|
||||
foreach (var security in changes.AddedSecurities)
|
||||
{
|
||||
var symbol = security.Symbol.Underlying == null ? security.Symbol : security.Symbol.Underlying;
|
||||
if (symbol != "AAPL" && symbol != "TWX")
|
||||
{
|
||||
throw new RegressionTestException($"Unexpected security {security.Symbol}");
|
||||
}
|
||||
_optionCount += (security.Symbol.SecurityType == SecurityType.Option) ? 1 : 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public override void OnEndOfAlgorithm()
|
||||
{
|
||||
if (ActiveSecurities.Count == 0)
|
||||
{
|
||||
throw new RegressionTestException("No active securities found. Expected at least one active security");
|
||||
}
|
||||
if (_optionCount == 0)
|
||||
{
|
||||
throw new RegressionTestException("The option count should be greater than 0");
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
public bool CanRunLocally { get; } = true;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate which languages this algorithm is written in.
|
||||
/// </summary>
|
||||
public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 2349547;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "0"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "100000"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "0%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "0"},
|
||||
{"Beta", "0"},
|
||||
{"Annual Standard Deviation", "0"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "0"},
|
||||
{"Tracking Error", "0"},
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -120,7 +120,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -246,10 +246,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$6.00"},
|
||||
{"Estimated Strategy Capacity", "$4000.00"},
|
||||
{"Lowest Capacity Asset", "GOOCV 305RBQ2BZGA4M|GOOCV VP83T1ZUHROL"},
|
||||
{"Lowest Capacity Asset", "GOOCV 305RBQ2BZBZT2|GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "2.58%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "f418de0673fc166487daf80991dfe3a0"}
|
||||
{"OrderListHash", "09f766c470a8bcf4bb6862da52bf25a7"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -59,7 +59,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
|
||||
var ticket = MarketOrder("AIG", 1);
|
||||
|
||||
if (ticket.Status != OrderStatus.Invalid || aig.HasData || aig.Price != 0)
|
||||
if (ticket.Status != OrderStatus.Invalid)
|
||||
{
|
||||
throw new RegressionTestException("Expected order to always be invalid because there is no data yet!");
|
||||
}
|
||||
@@ -83,7 +83,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 15042;
|
||||
public long DataPoints => 11202;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -126,7 +126,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$830000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "20.49%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "6ebe462373e2ecc22de8eb2fe114d704"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -110,7 +110,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 7065;
|
||||
public long DataPoints => 7063;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -153,8 +153,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$4700000.00"},
|
||||
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "29.88%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "f04b3521256c7d6740966bc3df34e7b1"}
|
||||
{"OrderListHash", "6061ecfbb89eb365dff913410d279b7c"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -105,7 +105,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$38000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "59.74%"},
|
||||
{"Drawdown Recovery", "3"},
|
||||
{"OrderListHash", "5d7657ec9954875eca633bed711085d3"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -101,7 +101,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 1579;
|
||||
public long DataPoints => 1578;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -142,10 +142,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$2.00"},
|
||||
{"Estimated Strategy Capacity", "$6200000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL VXBK4QA5IWKM|AAPL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AAPL VXBK4QA5EM92|AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "90.27%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "a332b93ff5e2dfe89258c450a64c7125"}
|
||||
{"OrderListHash", "a111609c2c64554268539b5798e5b31f"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -124,7 +124,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$980000000.00"},
|
||||
{"Lowest Capacity Asset", "FB V6OIPNZEM8V9"},
|
||||
{"Portfolio Turnover", "25.56%"},
|
||||
{"Drawdown Recovery", "1"},
|
||||
{"OrderListHash", "5ee20c8556d706ab0a63ae41b6579c62"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -135,7 +135,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$680000000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "7.48%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "2c814c55e7d7c56482411c065b861b33"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -199,7 +199,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$42000000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "99.56%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "60f03c8c589a4f814dc4e8945df23207"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -113,7 +113,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -281,7 +281,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$61000000000.00"},
|
||||
{"Lowest Capacity Asset", "NB R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "3.62%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "0ea806c53bfa2bdca2504ba7155ef130"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -119,7 +119,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$16000000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "0.02%"},
|
||||
{"Drawdown Recovery", "50"},
|
||||
{"OrderListHash", "685c37df6e4c49b75792c133be189094"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -38,7 +38,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
SetEndDate(2013, 10, 10);
|
||||
|
||||
var SP500 = QuantConnect.Symbol.Create(Futures.Indices.SP500EMini, SecurityType.Future, Market.CME);
|
||||
_symbol = FuturesChain(SP500).OrderBy(x => x.Symbol.ID.Date).First();
|
||||
_symbol = FutureChainProvider.GetFutureContractList(SP500, StartDate).First();
|
||||
|
||||
// Test case: custom IndicatorBase<QuoteBar> indicator using Future unsubscribed symbol
|
||||
var indicator1 = new CustomIndicator();
|
||||
@@ -151,7 +151,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 85;
|
||||
public int AlgorithmHistoryDataPoints => 84;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -189,7 +189,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$200000000.00"},
|
||||
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
||||
{"Portfolio Turnover", "351.80%"},
|
||||
{"Drawdown Recovery", "1"},
|
||||
{"OrderListHash", "dfd9a280d3c6470b305c03e0b72c234e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -82,7 +82,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 18;
|
||||
public int AlgorithmHistoryDataPoints => 21;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -120,7 +120,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -151,7 +151,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$56000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "19.93%"},
|
||||
{"Drawdown Recovery", "3"},
|
||||
{"OrderListHash", "3da9fa60bf95b9ed148b95e02e0cfc9e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,137 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*
|
||||
*/
|
||||
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
using QuantConnect.Data.Market;
|
||||
using QuantConnect.Securities;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
/// <summary>
|
||||
/// Regression algorithm asserting that security are automatically seeded by default
|
||||
/// </summary>
|
||||
public abstract class AutomaticSeedBaseRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
protected virtual bool ShouldHaveTradeData { get; }
|
||||
protected virtual bool ShouldHaveQuoteData { get; }
|
||||
protected virtual bool ShouldHaveOpenInterestData { get; }
|
||||
|
||||
public override void OnSecuritiesChanged(SecurityChanges changes)
|
||||
{
|
||||
var gotTrades = false;
|
||||
var gotQuotes = false;
|
||||
var gotOpenInterest = false;
|
||||
|
||||
foreach (var addedSecurity in changes.AddedSecurities.Where(x => !x.Symbol.IsCanonical() || x.Symbol.SecurityType == SecurityType.Future))
|
||||
{
|
||||
if (addedSecurity.Price == 0)
|
||||
{
|
||||
throw new RegressionTestException("Security was not seeded");
|
||||
}
|
||||
|
||||
if (!addedSecurity.HasData)
|
||||
{
|
||||
throw new RegressionTestException("Security does not have TradeBar or QuoteBar or OpenInterest data");
|
||||
}
|
||||
|
||||
gotTrades |= addedSecurity.Cache.GetData<TradeBar>() != null;
|
||||
gotQuotes |= addedSecurity.Cache.GetData<QuoteBar>() != null;
|
||||
gotOpenInterest |= addedSecurity.Cache.GetData<OpenInterest>() != null;
|
||||
}
|
||||
|
||||
if (changes.AddedSecurities.Count > 0)
|
||||
{
|
||||
if (ShouldHaveTradeData && !gotTrades)
|
||||
{
|
||||
throw new RegressionTestException("No contract had TradeBar data");
|
||||
}
|
||||
|
||||
if (ShouldHaveQuoteData && !gotQuotes)
|
||||
{
|
||||
throw new RegressionTestException("No contract had QuoteBar data");
|
||||
}
|
||||
|
||||
if (ShouldHaveOpenInterestData && !gotOpenInterest)
|
||||
{
|
||||
throw new RegressionTestException("No contract had OpenInterest data");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
public bool CanRunLocally { get; } = true;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate which languages this algorithm is written in.
|
||||
/// </summary>
|
||||
public List<Language> Languages { get; } = new() { Language.CSharp };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public abstract long DataPoints { get; }
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public abstract int AlgorithmHistoryDataPoints { get; }
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "0"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "100000"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "0%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "0"},
|
||||
{"Beta", "0"},
|
||||
{"Annual Standard Deviation", "0"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "0"},
|
||||
{"Tracking Error", "0"},
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -119,7 +119,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 126222;
|
||||
public long DataPoints => 126221;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -162,7 +162,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,156 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
using System.Collections.Generic;
|
||||
using QuantConnect.Data;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Orders;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
/// <summary>
|
||||
/// Regression algorithm asserting that in backtesting, orders are submitted in the same time step even when asynchronous
|
||||
/// </summary>
|
||||
public class BacktestingAsynchronousOrdersRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
private Symbol _symbol;
|
||||
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2013, 10, 07);
|
||||
SetEndDate(2013, 10, 08);
|
||||
SetCash(100000);
|
||||
|
||||
_symbol = AddEquity("SPY").Symbol;
|
||||
}
|
||||
|
||||
public override void OnData(Slice slice)
|
||||
{
|
||||
if (!Portfolio.Invested)
|
||||
{
|
||||
var marketOrderTicket = MarketOrder(_symbol, 100, asynchronous: false);
|
||||
AssertMarketOrderStatus(marketOrderTicket);
|
||||
|
||||
var asyncMarketOrderTicket = MarketOrder(_symbol, -100, asynchronous: true);
|
||||
AssertMarketOrderStatus(asyncMarketOrderTicket);
|
||||
|
||||
var limitPrice = Securities[_symbol].Price * 0.95m;
|
||||
var limitOrderTicket = LimitOrder(_symbol, 100, limitPrice, asynchronous: false);
|
||||
AssertLimitOrderStatus(limitOrderTicket);
|
||||
|
||||
var asyncLimitOrderTicket = LimitOrder(_symbol, -100, limitPrice, asynchronous: true);
|
||||
AssertLimitOrderStatus(asyncLimitOrderTicket);
|
||||
}
|
||||
}
|
||||
|
||||
private static void AssertMarketOrderStatus(OrderTicket ticket)
|
||||
{
|
||||
// In backtesting the order should be submitted and filled right away.
|
||||
// Note that OrderSet event will not be fired if there is an error when processing the order submission,
|
||||
// but this is a happy case
|
||||
if (!ticket.OrderSet.WaitOne(0))
|
||||
{
|
||||
throw new RegressionTestException("Order was not submitted immediately in backtesting mode");
|
||||
}
|
||||
if (!ticket.OrderClosed.WaitOne(0))
|
||||
{
|
||||
throw new RegressionTestException("Order was not filled immediately in backtesting mode");
|
||||
}
|
||||
if (ticket.Status != OrderStatus.Filled)
|
||||
{
|
||||
throw new RegressionTestException($"Order status is not filled: {ticket.Status}");
|
||||
}
|
||||
}
|
||||
|
||||
private static void AssertLimitOrderStatus(OrderTicket ticket)
|
||||
{
|
||||
// In backtesting the order should be submitted right away but not filled since price hasn't moved even when asynchronous
|
||||
// Note that OrderSet event will not be fired if there is an error when processing the order submission,
|
||||
// but this is a happy case
|
||||
if (!ticket.OrderSet.WaitOne(0))
|
||||
{
|
||||
throw new RegressionTestException("Asynchronous limit order was not submitted immediately in backtesting mode");
|
||||
}
|
||||
if (ticket.OrderClosed.WaitOne(0))
|
||||
{
|
||||
throw new RegressionTestException("Asynchronous limit order was filled immediately in backtesting mode when it shouldn't");
|
||||
}
|
||||
if (ticket.Status != OrderStatus.Submitted)
|
||||
{
|
||||
throw new RegressionTestException($"Order status is not submitted: {ticket.Status}");
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
public bool CanRunLocally { get; } = true;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate which languages this algorithm is written in.
|
||||
/// </summary>
|
||||
public List<Language> Languages { get; } = new() { Language.CSharp };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 1582;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "4"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "0%"},
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100000"},
|
||||
{"End Equity", "100168.20"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
{"Probabilistic Sharpe Ratio", "0%"},
|
||||
{"Loss Rate", "0%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "0"},
|
||||
{"Beta", "0"},
|
||||
{"Annual Standard Deviation", "0"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "0"},
|
||||
{"Tracking Error", "0"},
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$3.00"},
|
||||
{"Estimated Strategy Capacity", "$22000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "21.72%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "65f010e904a929e5383f0920a3c5b797"}
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -339,8 +339,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "17.02%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "1be5073f2cf8802ffa163f7dab7d040e"}
|
||||
{"OrderListHash", "b1e5e72fb766ab894204bc4b1300912b"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -77,7 +77,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 15;
|
||||
public int AlgorithmHistoryDataPoints => 120;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -115,7 +115,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "€85000.00"},
|
||||
{"Lowest Capacity Asset", "BTCEUR 2XR"},
|
||||
{"Portfolio Turnover", "107.64%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "6819dc936b86af6e4b89b6017b7d5284"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -47,7 +47,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 15;
|
||||
public int AlgorithmHistoryDataPoints => 120;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -85,7 +85,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "€85000.00"},
|
||||
{"Lowest Capacity Asset", "BTCEUR 2XR"},
|
||||
{"Portfolio Turnover", "107.64%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "3d450fd418a0e845b3eaaac17fcd13fc"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -118,7 +118,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$56000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "19.93%"},
|
||||
{"Drawdown Recovery", "3"},
|
||||
{"OrderListHash", "3da9fa60bf95b9ed148b95e02e0cfc9e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -112,7 +112,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$150000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "4.98%"},
|
||||
{"Drawdown Recovery", "3"},
|
||||
{"OrderListHash", "8774049eb5141a2b6956d9432426f837"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -18,6 +18,7 @@ using QuantConnect.Data;
|
||||
using QuantConnect.Orders;
|
||||
using QuantConnect.Interfaces;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
using QuantConnect.Indicators;
|
||||
using QuantConnect.Securities;
|
||||
@@ -117,7 +118,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 162575;
|
||||
public long DataPoints => 713375;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -160,8 +161,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$7100000.00"},
|
||||
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
||||
{"Portfolio Turnover", "2.33%"},
|
||||
{"Drawdown Recovery", "37"},
|
||||
{"OrderListHash", "223735440010fcec5889bb7becacfa82"}
|
||||
{"OrderListHash", "9c524830ffc7354327638142ae62acd2"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -123,7 +123,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 504530;
|
||||
public long DataPoints => 2217330;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -166,8 +166,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$890000000.00"},
|
||||
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
||||
{"Portfolio Turnover", "2.32%"},
|
||||
{"Drawdown Recovery", "34"},
|
||||
{"OrderListHash", "1504a8892da8d8c0650018732f315753"}
|
||||
{"OrderListHash", "f60fc7dcba2c1ff077afeb191aee5008"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -167,7 +167,11 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
if (Portfolio.CashBook["LTC"].Amount > 0)
|
||||
{
|
||||
// The following two statements currently behave differently if we have initial holdings:
|
||||
// https://github.com/QuantConnect/Lean/issues/1860
|
||||
|
||||
Liquidate("LTCUSD");
|
||||
// SetHoldings("LTCUSD", 0);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -202,7 +206,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 35;
|
||||
public int AlgorithmHistoryDataPoints => 240;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -220,7 +224,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "31592.84"},
|
||||
{"Start Equity", "31588.24"},
|
||||
{"End Equity", "30866.71"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
@@ -240,7 +244,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "BTCEUR 2XR"},
|
||||
{"Portfolio Turnover", "118.08%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "26b9a07ace86b6a0e0eb2ff8c168cee0"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -276,7 +276,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$500000000.00"},
|
||||
{"Lowest Capacity Asset", "ADAUSDT 18R"},
|
||||
{"Portfolio Turnover", "0.16%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "dcc4f964b5549c753123848c32eaee41"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -239,7 +239,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$370000000.00"},
|
||||
{"Lowest Capacity Asset", "ADAUSDT 18R"},
|
||||
{"Portfolio Turnover", "0.12%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "50a51d06d03a5355248a6bccef1ca521"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -109,7 +109,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$1200000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "10.01%"},
|
||||
{"Drawdown Recovery", "1"},
|
||||
{"OrderListHash", "70f21e930175a2ec9d465b21edc1b6d9"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -56,7 +56,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
_continuousContract.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(180));
|
||||
_mappedSymbol = _continuousContract.Mapped;
|
||||
|
||||
var benchmark = AddIndex("SX5E");
|
||||
var benchmark = AddIndex("SX5E", market: Market.EUREX);
|
||||
SetBenchmark(benchmark.Symbol);
|
||||
|
||||
var seeder = new FuncSecuritySeeder(GetLastKnownPrices);
|
||||
@@ -190,12 +190,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 94326;
|
||||
public long DataPoints => 133947;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 0;
|
||||
public int AlgorithmHistoryDataPoints => 26;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -233,8 +233,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "€2300000000.00"},
|
||||
{"Lowest Capacity Asset", "FESX YJHOAMPYKRS5"},
|
||||
{"Portfolio Turnover", "0.40%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "ac9acc478ba1afe53993cdbb92f8ec6e"}
|
||||
{"OrderListHash", "54040d29a467becaedcf59d79323321b"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -130,7 +130,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$27000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "59.86%"},
|
||||
{"Drawdown Recovery", "3"},
|
||||
{"OrderListHash", "f209ed42701b0419858e0100595b40c0"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -176,7 +176,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 727;
|
||||
public long DataPoints => 1185;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -219,8 +219,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
||||
{"Portfolio Turnover", "0.13%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "a6ccce3a1a7f549f887d83e84bfa878d"}
|
||||
{"OrderListHash", "7c8700a9baa24f6f76d866e7d88cc19c"}
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -149,12 +149,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 40308;
|
||||
public long DataPoints => 75403;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 354;
|
||||
public int AlgorithmHistoryDataPoints => 340;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -169,7 +169,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Total Orders", "2700"},
|
||||
{"Average Win", "0.00%"},
|
||||
{"Average Loss", "0.00%"},
|
||||
{"Compounding Annual Return", "-99.597%"},
|
||||
{"Compounding Annual Return", "-99.777%"},
|
||||
{"Drawdown", "4.400%"},
|
||||
{"Expectancy", "-0.724"},
|
||||
{"Start Equity", "1000000"},
|
||||
@@ -192,7 +192,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$14000.00"},
|
||||
{"Lowest Capacity Asset", "GC VOFJUCDY9XNH"},
|
||||
{"Portfolio Turnover", "9912.69%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "6e0f767a46a54365287801295cf7bb75"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -18,8 +18,8 @@ using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using QuantConnect.Data;
|
||||
using QuantConnect.Data.UniverseSelection;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Orders;
|
||||
using QuantConnect.Securities;
|
||||
using QuantConnect.Securities.Future;
|
||||
|
||||
@@ -104,16 +104,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
}
|
||||
}
|
||||
|
||||
public override void OnSecuritiesChanged(SecurityChanges changes)
|
||||
{
|
||||
if (changes.RemovedSecurities.Count > 0 &&
|
||||
Portfolio.Invested &&
|
||||
Securities.Values.Where(x => x.Invested).All(x => x.Exchange.Hours.IsOpen(Time, true)))
|
||||
{
|
||||
Liquidate();
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
|
||||
/// </summary>
|
||||
@@ -127,7 +117,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public virtual long DataPoints => 5867;
|
||||
public virtual long DataPoints => 12474;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -144,34 +134,33 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// </summary>
|
||||
public virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "38"},
|
||||
{"Total Orders", "34"},
|
||||
{"Average Win", "0.33%"},
|
||||
{"Average Loss", "-0.03%"},
|
||||
{"Compounding Annual Return", "0.098%"},
|
||||
{"Average Loss", "-0.04%"},
|
||||
{"Compounding Annual Return", "0.106%"},
|
||||
{"Drawdown", "0.300%"},
|
||||
{"Expectancy", "0.165"},
|
||||
{"Expectancy", "0.178"},
|
||||
{"Start Equity", "1000000"},
|
||||
{"End Equity", "1000991.96"},
|
||||
{"Net Profit", "0.099%"},
|
||||
{"Sharpe Ratio", "-1.708"},
|
||||
{"Sortino Ratio", "-0.84"},
|
||||
{"Probabilistic Sharpe Ratio", "14.542%"},
|
||||
{"Loss Rate", "89%"},
|
||||
{"Win Rate", "11%"},
|
||||
{"Profit-Loss Ratio", "10.07"},
|
||||
{"End Equity", "1001066.2"},
|
||||
{"Net Profit", "0.107%"},
|
||||
{"Sharpe Ratio", "-1.695"},
|
||||
{"Sortino Ratio", "-0.804"},
|
||||
{"Probabilistic Sharpe Ratio", "14.797%"},
|
||||
{"Loss Rate", "88%"},
|
||||
{"Win Rate", "12%"},
|
||||
{"Profit-Loss Ratio", "9.01"},
|
||||
{"Alpha", "-0.007"},
|
||||
{"Beta", "0.002"},
|
||||
{"Annual Standard Deviation", "0.004"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-1.354"},
|
||||
{"Information Ratio", "-1.353"},
|
||||
{"Tracking Error", "0.089"},
|
||||
{"Treynor Ratio", "-4.054"},
|
||||
{"Total Fees", "$85.54"},
|
||||
{"Treynor Ratio", "-4.112"},
|
||||
{"Total Fees", "$76.30"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "ES VRJST036ZY0X"},
|
||||
{"Portfolio Turnover", "1.04%"},
|
||||
{"Drawdown Recovery", "69"},
|
||||
{"OrderListHash", "eafc33ea4dcb219f7aacdbdd0973d5bc"}
|
||||
{"Portfolio Turnover", "0.92%"},
|
||||
{"OrderListHash", "9507abc8348ff3cb1e2a9a5f48d128a7"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -136,7 +136,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public virtual long DataPoints => 24883;
|
||||
public virtual long DataPoints => 57759;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -179,7 +179,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$17000000.00"},
|
||||
{"Lowest Capacity Asset", "GC VL5E74HP3EE5"},
|
||||
{"Portfolio Turnover", "43.23%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "c0fc1bcdc3008a8d263521bbc9d7cdbd"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -41,7 +41,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public override long DataPoints => 70262;
|
||||
public override long DataPoints => 163416;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
@@ -74,7 +74,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$52000000.00"},
|
||||
{"Lowest Capacity Asset", "GC VL5E74HP3EE5"},
|
||||
{"Portfolio Turnover", "43.77%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "dcdaafcefa47465962ace2759ed99c91"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -140,12 +140,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public virtual long DataPoints => 25316;
|
||||
public virtual long DataPoints => 48690;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public virtual int AlgorithmHistoryDataPoints => 6075;
|
||||
public virtual int AlgorithmHistoryDataPoints => 5305;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -183,7 +183,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -47,7 +47,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public override long DataPoints => 76063;
|
||||
public override long DataPoints => 147771;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -90,7 +90,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -14,7 +14,12 @@
|
||||
*
|
||||
*/
|
||||
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using QuantConnect.Data;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Securities;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
@@ -36,41 +41,40 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public override long DataPoints => 25339;
|
||||
public override long DataPoints => 87292;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "718"},
|
||||
{"Total Orders", "716"},
|
||||
{"Average Win", "0.03%"},
|
||||
{"Average Loss", "-0.01%"},
|
||||
{"Compounding Annual Return", "-1.720%"},
|
||||
{"Compounding Annual Return", "-1.716%"},
|
||||
{"Drawdown", "1.700%"},
|
||||
{"Expectancy", "-0.770"},
|
||||
{"Start Equity", "1000000"},
|
||||
{"End Equity", "982676.58"},
|
||||
{"Net Profit", "-1.732%"},
|
||||
{"Sharpe Ratio", "-8.877"},
|
||||
{"Sortino Ratio", "-5.476"},
|
||||
{"End Equity", "982718.38"},
|
||||
{"Net Profit", "-1.728%"},
|
||||
{"Sharpe Ratio", "-8.845"},
|
||||
{"Sortino Ratio", "-5.449"},
|
||||
{"Probabilistic Sharpe Ratio", "0.000%"},
|
||||
{"Loss Rate", "96%"},
|
||||
{"Win Rate", "4%"},
|
||||
{"Profit-Loss Ratio", "4.90"},
|
||||
{"Profit-Loss Ratio", "4.89"},
|
||||
{"Alpha", "-0.018"},
|
||||
{"Beta", "-0.002"},
|
||||
{"Annual Standard Deviation", "0.002"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-1.484"},
|
||||
{"Information Ratio", "-1.483"},
|
||||
{"Tracking Error", "0.089"},
|
||||
{"Treynor Ratio", "9.171"},
|
||||
{"Total Fees", "$1638.42"},
|
||||
{"Treynor Ratio", "9.102"},
|
||||
{"Total Fees", "$1634.12"},
|
||||
{"Estimated Strategy Capacity", "$8000.00"},
|
||||
{"Lowest Capacity Asset", "ES VP274HSU1AF5"},
|
||||
{"Portfolio Turnover", "20.14%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "c301a0a086f8905b1a555f0257087272"}
|
||||
{"Portfolio Turnover", "20.10%"},
|
||||
{"OrderListHash", "aa7e574f86b70428ca0afae381be80ba"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -149,12 +149,12 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 117079;
|
||||
public long DataPoints => 224662;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 354;
|
||||
public int AlgorithmHistoryDataPoints => 340;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -192,7 +192,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$130000.00"},
|
||||
{"Lowest Capacity Asset", "GC VOFJUCDY9XNH"},
|
||||
{"Portfolio Turnover", "32523.20%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "0664a72652a19956ea3c4915269cc4b9"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -36,41 +36,40 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public override long DataPoints => 5971;
|
||||
public override long DataPoints => 14182;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
/// </summary>
|
||||
public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
||||
{
|
||||
{"Total Orders", "36"},
|
||||
{"Total Orders", "32"},
|
||||
{"Average Win", "0.33%"},
|
||||
{"Average Loss", "-0.03%"},
|
||||
{"Compounding Annual Return", "0.103%"},
|
||||
{"Average Loss", "-0.04%"},
|
||||
{"Compounding Annual Return", "0.110%"},
|
||||
{"Drawdown", "0.300%"},
|
||||
{"Expectancy", "0.172"},
|
||||
{"Expectancy", "0.184"},
|
||||
{"Start Equity", "1000000"},
|
||||
{"End Equity", "1001033.76"},
|
||||
{"Net Profit", "0.103%"},
|
||||
{"Sharpe Ratio", "-1.701"},
|
||||
{"Sortino Ratio", "-0.809"},
|
||||
{"Probabilistic Sharpe Ratio", "14.685%"},
|
||||
{"Loss Rate", "89%"},
|
||||
{"Win Rate", "11%"},
|
||||
{"Profit-Loss Ratio", "9.55"},
|
||||
{"End Equity", "1001108"},
|
||||
{"Net Profit", "0.111%"},
|
||||
{"Sharpe Ratio", "-1.688"},
|
||||
{"Sortino Ratio", "-0.772"},
|
||||
{"Probabilistic Sharpe Ratio", "14.944%"},
|
||||
{"Loss Rate", "88%"},
|
||||
{"Win Rate", "12%"},
|
||||
{"Profit-Loss Ratio", "8.47"},
|
||||
{"Alpha", "-0.007"},
|
||||
{"Beta", "0.002"},
|
||||
{"Annual Standard Deviation", "0.004"},
|
||||
{"Annual Variance", "0"},
|
||||
{"Information Ratio", "-1.353"},
|
||||
{"Tracking Error", "0.089"},
|
||||
{"Treynor Ratio", "-4.042"},
|
||||
{"Total Fees", "$81.24"},
|
||||
{"Treynor Ratio", "-4.099"},
|
||||
{"Total Fees", "$72.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "ES VRJST036ZY0X"},
|
||||
{"Portfolio Turnover", "0.99%"},
|
||||
{"Drawdown Recovery", "69"},
|
||||
{"OrderListHash", "67120ad5c9a6116001dda6c8061e5353"}
|
||||
{"Portfolio Turnover", "0.87%"},
|
||||
{"OrderListHash", "ea6fdf3133bde7063e4fc0fa809ae260"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -41,7 +41,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public override long DataPoints => 67998;
|
||||
public override long DataPoints => 228941;
|
||||
|
||||
/// <summary>
|
||||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
|
||||
@@ -74,8 +74,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$3000.00"},
|
||||
{"Lowest Capacity Asset", "ES VP274HSU1AF5"},
|
||||
{"Portfolio Turnover", "56.73%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "6ce7812de5c98744cc35169a86a24325"}
|
||||
{"OrderListHash", "424536177e9be5895bab50638ef43a9d"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -118,8 +118,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$110000000.00"},
|
||||
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "19.96%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "60747dce5c2aed393b7dccc258d2c9b5"}
|
||||
{"OrderListHash", "966f8355817adbc8c724d1062691a60b"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -168,10 +168,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-1.771"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$3000.00"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
|
||||
{"Portfolio Turnover", "23.97%"},
|
||||
{"Drawdown Recovery", "9"},
|
||||
{"OrderListHash", "4b560d2a8cfae510c3c8dc92603470fc"}
|
||||
{"OrderListHash", "51f1bc2ea080df79748dc66c2520b782"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -147,10 +147,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-6.937"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
|
||||
{"Portfolio Turnover", "2.42%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "ce421d0aeb7bde3bc92a6b87c09c510e"}
|
||||
{"OrderListHash", "61e8517ac3da6bed414ef23d26736fef"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -64,10 +64,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-6.189"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$300000.00"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
|
||||
{"Portfolio Turnover", "24.63%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "7bc05310e971f09b0663bc380fdfee80"}
|
||||
{"OrderListHash", "44325fc1fdebb8e54f64a3f6e8a4bcd7"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -108,10 +108,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-44.954"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P59H9OI6|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
|
||||
{"Portfolio Turnover", "0.00%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "34d295b82e29b1dbe8f104d3300d9255"}
|
||||
{"OrderListHash", "285cec32c0947f0e8cf90ccb672cfa43"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -79,10 +79,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "116.921"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P59H9OI6|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
|
||||
{"Portfolio Turnover", "0.00%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "214026660a13ecaecc7074fa97f86ea1"}
|
||||
{"OrderListHash", "75e6584cb26058b09720c3a828b9fbda"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -128,8 +128,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₹61000000000.00"},
|
||||
{"Lowest Capacity Asset", "YESBANK UL"},
|
||||
{"Portfolio Turnover", "0.00%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "06f782c83dd633dac6f228b91273ba26"}
|
||||
{"OrderListHash", "7a0257f08e3bb9143b825e07ab47fea0"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -152,8 +152,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₹84000.00"},
|
||||
{"Lowest Capacity Asset", "JUNIORBEES UL"},
|
||||
{"Portfolio Turnover", "0.04%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "8790bec8175539e6d92e01608ac57733"}
|
||||
{"OrderListHash", "79ab9ec506959c562be8b3cdbb174c39"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -44,7 +44,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
_optionSymbol = option.Symbol;
|
||||
|
||||
// set our strike/expiry filter for this option chain
|
||||
option.SetFilter(u => u.StandardsOnly().Strikes(-2, +2)
|
||||
option.SetFilter(u => u.Strikes(-2, +2)
|
||||
// Expiration method accepts TimeSpan objects or integer for days.
|
||||
// The following statements yield the same filtering criteria
|
||||
.Expiration(0, 180));
|
||||
@@ -73,7 +73,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
var higherStrike = callContracts[2].Strike;
|
||||
|
||||
var optionStrategy = OptionStrategies.CallButterfly(_optionSymbol, higherStrike, middleStrike, lowerStrike, expiry);
|
||||
|
||||
|
||||
Order(optionStrategy, 10);
|
||||
}
|
||||
}
|
||||
@@ -143,10 +143,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$26.00"},
|
||||
{"Estimated Strategy Capacity", "$69000.00"},
|
||||
{"Lowest Capacity Asset", "GOOCV W78ZERHAT67A|GOOCV VP83T1ZUHROL"},
|
||||
{"Lowest Capacity Asset", "GOOCV W78ZERHAOVVQ|GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "61.31%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "ccd6cb1b6244d0c6d30b2760938958f1"}
|
||||
{"OrderListHash", "35d406df401e5b27244e20f5ec57346e"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -50,9 +50,8 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
// set our strike/expiry filter for this option chain
|
||||
// SetFilter method accepts TimeSpan objects or integer for days.
|
||||
// The following statements yield the same filtering criteria
|
||||
option.SetFilter(u => u.StandardsOnly()
|
||||
.Strikes(-2, +2)
|
||||
.Expiration(0, 180));
|
||||
option.SetFilter(-2, +2, 0, 180);
|
||||
// option.SetFilter(-2, +2, TimeSpan.Zero, TimeSpan.FromDays(180));
|
||||
|
||||
// Adding this to reproduce GH issue #2314
|
||||
SetWarmup(TimeSpan.FromMinutes(1));
|
||||
@@ -84,7 +83,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
Liquidate();
|
||||
}
|
||||
|
||||
foreach (var kpv in slice.Bars)
|
||||
foreach(var kpv in slice.Bars)
|
||||
{
|
||||
Log($"---> OnData: {Time}, {kpv.Key.Value}, {kpv.Value.Close:0.00}");
|
||||
}
|
||||
@@ -154,10 +153,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$543.40"},
|
||||
{"Estimated Strategy Capacity", "$4000.00"},
|
||||
{"Lowest Capacity Asset", "GOOCV W78ZFMEBFLDY|GOOCV VP83T1ZUHROL"},
|
||||
{"Lowest Capacity Asset", "GOOCV W78ZFMEBBB2E|GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "338.60%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "8229716b93428dc885cf856b4cc9fc35"}
|
||||
{"OrderListHash", "301c15063f6e269023d144ca69a765da"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -48,10 +48,11 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
_optionSymbol = option.Symbol;
|
||||
|
||||
// set our strike/expiry filter for this option chain
|
||||
option.SetFilter(u => u.StandardsOnly().Strikes(-2, +2)
|
||||
option.SetFilter(u => u.Strikes(-2, +2)
|
||||
// Expiration method accepts TimeSpan objects or integer for days.
|
||||
// The following statements yield the same filtering criteria
|
||||
.Expiration(0, 180)); // .Expiration(TimeSpan.Zero, TimeSpan.FromDays(180)));
|
||||
.Expiration(0, 180));
|
||||
// .Expiration(TimeSpan.Zero, TimeSpan.FromDays(180)));
|
||||
|
||||
// use the underlying equity as the benchmark
|
||||
SetBenchmark(equity.Symbol);
|
||||
@@ -149,10 +150,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0"},
|
||||
{"Total Fees", "$2.00"},
|
||||
{"Estimated Strategy Capacity", "$1300000.00"},
|
||||
{"Lowest Capacity Asset", "GOOCV 30AKMEIPOX2DI|GOOCV VP83T1ZUHROL"},
|
||||
{"Lowest Capacity Asset", "GOOCV 30AKMEIPOSS1Y|GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "10.71%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "19ba1220073493495880581b38df2da9"}
|
||||
{"OrderListHash", "8a36462ee0349c04d01d464e592dd347"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -145,7 +145,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", ""},
|
||||
{"Portfolio Turnover", "0%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -163,10 +163,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-3.212"},
|
||||
{"Total Fees", "$1.00"},
|
||||
{"Estimated Strategy Capacity", "$72000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL W78ZEO29CFS6|AAPL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AAPL W78ZEO2985GM|AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "0.02%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "5639c19a7d56ec312f61029b943903b8"}
|
||||
{"OrderListHash", "b3125e0af79da0f5eea4cfda09806324"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -142,8 +142,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
|
||||
{"Portfolio Turnover", "15.08%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "c53bc9318676161ed3b7797c945e2113"}
|
||||
{"OrderListHash", "db6a1134ad325bce31c2bdd2e87ff5f4"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -139,7 +139,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 17487;
|
||||
public long DataPoints => 17486;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
@@ -182,8 +182,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$0"},
|
||||
{"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "13.50%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "2ab4ffc0944a2888a3be0568c2570a79"}
|
||||
{"OrderListHash", "cf14a7ce9c86e6844051820fd4c9394c"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -48,7 +48,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
_optionSymbol = option.Symbol;
|
||||
|
||||
// set our strike/expiry filter for this option chain
|
||||
option.SetFilter(u => u.StandardsOnly().Strikes(-2, +2)
|
||||
option.SetFilter(u => u.Strikes(-2, +2)
|
||||
// Expiration method accepts TimeSpan objects or integer for days.
|
||||
// The following statements yield the same filtering criteria
|
||||
.Expiration(0, 180));
|
||||
@@ -150,10 +150,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "1.434"},
|
||||
{"Total Fees", "$4.00"},
|
||||
{"Estimated Strategy Capacity", "$1000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL 2ZTXYMUAHGSME|AAPL R735QTJ8XC9X"},
|
||||
{"Lowest Capacity Asset", "AAPL 2ZTXYMUAHCIAU|AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "2.28%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "70bbc60c969f18e943e8e00cf0f7a0ea"}
|
||||
{"OrderListHash", "7804b3dcf20d3096a2265a289fa81cd3"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -144,10 +144,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-0.725"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$580000.00"},
|
||||
{"Lowest Capacity Asset", "SPXW 31K54PVWHYTTA|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPXW 31K54PVWHUJHQ|SPX 31"},
|
||||
{"Portfolio Turnover", "0.40%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "03148bbb5453fc1056a3285bd31ce158"}
|
||||
{"OrderListHash", "07a085baedb37bb7c8d460558ea77e88"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -150,10 +150,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "0.589"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$13000000.00"},
|
||||
{"Lowest Capacity Asset", "SPXW XKX6S2GMDZSE|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPXW XKX6S2GM9PGU|SPX 31"},
|
||||
{"Portfolio Turnover", "0.28%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "9d03f85003416861df07ccb31a18af9a"}
|
||||
{"OrderListHash", "c1a9bc141ae25c9542b93a887e79dafe"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -87,10 +87,9 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Treynor Ratio", "-1.771"},
|
||||
{"Total Fees", "$0.00"},
|
||||
{"Estimated Strategy Capacity", "$3000.00"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
|
||||
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
|
||||
{"Portfolio Turnover", "24.03%"},
|
||||
{"Drawdown Recovery", "9"},
|
||||
{"OrderListHash", "691cf4990024b856a0a70255c9fd2545"}
|
||||
{"OrderListHash", "fcd6fddb0a315e21095c2b35eb633e2b"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,34 +0,0 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp.Benchmarks
|
||||
{
|
||||
/// <summary>
|
||||
/// Benchmark Algorithm that adds SPX option chain but does not trade it.
|
||||
/// This is an interesting benchmark because SPX option chains are large
|
||||
/// </summary>
|
||||
public class EmptySPXOptionChainBenchmark : QCAlgorithm
|
||||
{
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2018, 1, 1);
|
||||
SetEndDate(2020, 6, 1);
|
||||
|
||||
var index = AddIndex("SPX");
|
||||
var option = AddOption(index);
|
||||
option.SetFilter(x => x.IncludeWeeklys().Strikes(-30, 30).Expiration(0, 7));
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -46,7 +46,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public override int AlgorithmHistoryDataPoints => 5;
|
||||
public override int AlgorithmHistoryDataPoints => 28;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -84,7 +84,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₮220000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSDT 18N"},
|
||||
{"Portfolio Turnover", "22.80%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "80711e4c1e3c0da20152da8fafc3fd66"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -46,7 +46,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public override int AlgorithmHistoryDataPoints => 5;
|
||||
public override int AlgorithmHistoryDataPoints => 28;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -84,7 +84,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₮12000000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSDT 18N"},
|
||||
{"Portfolio Turnover", "22.80%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "80711e4c1e3c0da20152da8fafc3fd66"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -45,7 +45,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public override int AlgorithmHistoryDataPoints => 5;
|
||||
public override int AlgorithmHistoryDataPoints => 28;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -83,7 +83,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$2000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSD E3"},
|
||||
{"Portfolio Turnover", "0.28%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "899ef4e299a6cc73c1bd96fb9993db0e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -45,7 +45,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public override int AlgorithmHistoryDataPoints => 5;
|
||||
public override int AlgorithmHistoryDataPoints => 28;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -83,7 +83,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$640000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSD E3"},
|
||||
{"Portfolio Turnover", "0.28%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "899ef4e299a6cc73c1bd96fb9993db0e"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -119,7 +119,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$2600000.00"},
|
||||
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "69.06%"},
|
||||
{"Drawdown Recovery", "2"},
|
||||
{"OrderListHash", "44a85134cd1c91c9720549bc0e007f80"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -226,7 +226,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 10;
|
||||
public int AlgorithmHistoryDataPoints => 60;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -244,7 +244,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "100285.85"},
|
||||
{"Start Equity", "100285.86"},
|
||||
{"End Equity", "100285.26"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
@@ -264,7 +264,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$200000000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSDT 2V3"},
|
||||
{"Portfolio Turnover", "1.08%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "0157a5c7c2c8a8c13e984b72721aa0ca"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -135,7 +135,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 10;
|
||||
public int AlgorithmHistoryDataPoints => 60;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -153,8 +153,8 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Compounding Annual Return", "0%"},
|
||||
{"Drawdown", "0%"},
|
||||
{"Expectancy", "0"},
|
||||
{"Start Equity", "117170.74"},
|
||||
{"End Equity", "117244.52"},
|
||||
{"Start Equity", "117171.12"},
|
||||
{"End Equity", "117244.50"},
|
||||
{"Net Profit", "0%"},
|
||||
{"Sharpe Ratio", "0"},
|
||||
{"Sortino Ratio", "0"},
|
||||
@@ -173,8 +173,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₮560000.00"},
|
||||
{"Lowest Capacity Asset", "BTCUSDT 2UZ"},
|
||||
{"Portfolio Turnover", "44.04%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "47580e88a8cc54b04f3b2bcb5d501150"}
|
||||
{"OrderListHash", "7426da82dca9e493acbc53c7b9f449f0"}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -147,7 +147,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 10;
|
||||
public int AlgorithmHistoryDataPoints => 60;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -185,7 +185,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "₮0"},
|
||||
{"Lowest Capacity Asset", "BTCUSDT.CustomCryptoData 2US"},
|
||||
{"Portfolio Turnover", "34.30%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "52ddb7dfcaaf1ea4f70cc614c49f0cd0"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -50,14 +50,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
|
||||
var commandLink2 = Link(new { Symbol = "SPY", Parameters = new Dictionary<string, int>() { { "Quantity", 10 } } });
|
||||
Notify.Email("email@address", "Untyped Command Event", $"Signal Y trade\nFollow link to trigger: {commandLink2}");
|
||||
|
||||
// We need to create a project on QuantConnect to test the BroadcastCommand method
|
||||
// and use the ProjectId in the BroadcastCommand call
|
||||
ProjectId = 21805137;
|
||||
|
||||
// All live deployments receive the broadcasts below
|
||||
var broadcastResult = BroadcastCommand(potentialCommand);
|
||||
var broadcastResult2 = BroadcastCommand(new { Symbol = "SPY", Parameters = new Dictionary<string, int>() { { "Quantity", 10 } } });
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
|
||||
@@ -117,7 +117,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$130000000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "37.56%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "e9e8a07dc58bff7198181f9fafb58834"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -130,7 +130,7 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 20;
|
||||
public int AlgorithmHistoryDataPoints => 120;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
@@ -168,7 +168,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "$370000.00"},
|
||||
{"Lowest Capacity Asset", "ETHUSD 2XR"},
|
||||
{"Portfolio Turnover", "104.59%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "5277847166fcd10cde634e3986e1d285"}
|
||||
};
|
||||
}
|
||||
|
||||
@@ -116,7 +116,6 @@ namespace QuantConnect.Algorithm.CSharp
|
||||
{"Estimated Strategy Capacity", "€670000.00"},
|
||||
{"Lowest Capacity Asset", "DE30EUR 8I"},
|
||||
{"Portfolio Turnover", "1062.25%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "d5d15485c8fc6d412e5e73d40d9afd60"}
|
||||
};
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user