Allow specifying PositionSize wolverine order properties (#9257)

* feat: add MappedSynchronizingHistoryProvider base class

Introduces an abstract class for history providers that handle symbol mapping and time-aligned data slices. Uses IMapFileProvider to resolve ticker changes, provides an abstract method for mapped history retrieval, and overrides GetHistory to synchronize results. Enables nullable reference types and adds documentation.

* Minor tweaks

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>

.devcontainer/devcontainer.json

@@ -1,33 +1,43 @@
 {
 	"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" },
-	
-	// Set *default* container specific settings.json values on container create.
-	"settings": { 
-		"terminal.integrated.profiles.linux": {
-			"bash": {
-				"path": "bash",
-				"icon": "terminal-bash"
+	"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"
+					}
+				}
 			}
 		}
 	},
-
-	// 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 the same network configuration as the host machine, ensuring no problems with firewalls, proxies etc.
+	"runArgs": [
+		"--network=host"
+	],
 	// 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" 
 	]

.github/ISSUE_TEMPLATE/bug_report.md

@@ -1,4 +1,11 @@
-<!--- This template provides sections for bugs and features. Please delete any irrelevant sections before submitting -->
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: ''
+assignees: ''
+
+---
 
 #### Expected Behavior
 <!--- Required. Describe the behavior you expect to see for your case. -->
@@ -24,4 +31,4 @@
 <!--- 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 -->

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1 @@
+blank_issues_enabled: false

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,26 @@
+---
+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 -->

.github/workflows/api-tests.yml

@@ -9,14 +9,19 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     # Only run on push events (not on pull_request) for security reasons in order to be able to use secrets
     if: ${{ github.event_name == 'push' }}
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Free space
-        run: df -h && rm -rf /opt/hostedtoolcache* && df -h
+      - 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 API Tests
         uses: addnab/docker-run-action@v3
         with:
@@ -27,4 +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 300seconds --blame-crash --filter "FullyQualifiedName=QuantConnect.Tests.API.ProjectTests" -- TestRunParameters.Parameter\(name=\"log-handler\", value=\"ConsoleErrorLogHandler\"\)
+            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\(name=\"log-handler\", value=\"ConsoleErrorLogHandler\"\)

.github/workflows/gh-actions.yml

@@ -9,12 +9,20 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Free space
-        run: df -h && rm -rf /opt/hostedtoolcache* && df -h
+        with:
+          fetch-depth: 0  # Ensures we fetch all history
+
+      - name: Liberate disk space
+        uses: jlumbroso/free-disk-space@main
+        with:
+          tool-cache: true
+          large-packages: false
+          docker-images: false
+          swap-storage: false
 
       - uses: addnab/docker-run-action@v3
         with:
@@ -22,9 +30,15 @@ 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/* ]]; then (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 [[ $GITHUB_REF = refs/tags/* && "$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

.github/workflows/rebase-org-branches.yml

@@ -7,7 +7,7 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - uses: actions/checkout@v2
         with:

.github/workflows/regression-tests.yml

@@ -9,12 +9,17 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Free space
-        run: df -h && rm -rf /opt/hostedtoolcache* && df -h
+      - name: Liberate disk space
+        uses: jlumbroso/free-disk-space@main
+        with:
+          tool-cache: true
+          large-packages: false
+          docker-images: false
+          swap-storage: false
 
       - uses: addnab/docker-run-action@v3
         with:

.github/workflows/report-generator.yml

@@ -0,0 +1,35 @@
+name: Report Generator 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
+
+      - uses: addnab/docker-run-action@v3
+        with:
+          image: quantconnect/lean:foundation
+          options: --workdir /__w/Lean/Lean -v /home/runner/work:/__w
+          shell: bash
+          run: |
+            # Build
+            dotnet build /p:Configuration=Release /v:quiet /p:WarningLevel=1 QuantConnect.Lean.sln
+            # Run Backtest
+            cd ./Launcher/bin/Release && dotnet QuantConnect.Lean.Launcher.dll && cd ../../../
+            # Run Report
+            cd ./Report/bin/Release && dotnet ./QuantConnect.Report.dll --backtest-data-source-file ../../../Launcher/bin/Release/BasicTemplateFrameworkAlgorithm.json --close-automatically true

.github/workflows/research-regression-tests.yml

@@ -9,12 +9,17 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Free space
-        run: df -h && rm -rf /opt/hostedtoolcache* && df -h
+      - name: Liberate disk space
+        uses: jlumbroso/free-disk-space@main
+        with:
+          tool-cache: true
+          large-packages: false
+          docker-images: false
+          swap-storage: false
 
       - uses: addnab/docker-run-action@v3
         with:
@@ -23,9 +28,9 @@ jobs:
           shell: bash
           run: |
             # install dependencies
-            pip3 install papermill==2.4.0 clr-loader==0.1.6
+            pip3 install papermill==2.4.0 clr-loader==0.2.9
             # install kernel
-            dotnet tool install --global Microsoft.dotnet-interactive --version 1.0.340501
+            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
             # Add dotnet tools to Path
             export PATH="$HOME/.dotnet/tools:$PATH"
             # activate kernel for jupyter

.github/workflows/syntax-tests.yml

@@ -0,0 +1,32 @@
+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

.github/workflows/virtual-environments.yml

@@ -9,12 +9,17 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Free space
-        run: df -h && rm -rf /opt/hostedtoolcache* && df -h
+      - name: Liberate disk space
+        uses: jlumbroso/free-disk-space@main
+        with:
+          tool-cache: true
+          large-packages: false
+          docker-images: false
+          swap-storage: false
 
       - uses: addnab/docker-run-action@v3
         with:
@@ -23,36 +28,39 @@ jobs:
           shell: bash
           run: |
             # Build
-            dotnet build /p:Configuration=Release /v:quiet /p:WarningLevel=1 QuantConnect.Lean.sln
+            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==1.0.99 && deactivate
+            python -m venv /lean-testenv --system-site-packages && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.221 && deactivate && \
             # Run Virtual Environment Test System Packages
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonVirtualEnvironmentTests.AssertVirtualEnvironment"
+            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==1.0.99 && deactivate
+            rm -rf /lean-testenv && python -m venv /lean-testenv && . /lean-testenv/bin/activate && pip install --no-cache-dir lean==1.0.221 && deactivate && \
             # Run Virtual Environment Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonVirtualEnvironmentTests.AssertVirtualEnvironment"
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonVirtualEnvironmentTests.AssertVirtualEnvironment" && \
             # Run Python Package Tests
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests" --blame-hang-timeout 120seconds --blame-crash
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests" --blame-hang-timeout 120seconds --blame-crash && \
             # Run StableBaselines Python Package Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.StableBaselinesTest" --blame-hang-timeout 120seconds --blame-crash
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.StableBaselinesTest" --blame-hang-timeout 120seconds --blame-crash && \
             # Run AxPlatform Python Package Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.AxPlatformTest" --blame-hang-timeout 120seconds --blame-crash
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.AxPlatformTest" --blame-hang-timeout 120seconds --blame-crash && \
             # 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
+            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.NeuralTangentsTest|IgniteTest" --blame-hang-timeout 120seconds --blame-crash
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.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
+            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
+            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.HvplotTest" --blame-hang-timeout 120seconds --blame-crash
-            # Run Stellargraph Python Package Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.StellargraphTest" --blame-hang-timeout 120seconds --blame-crash
-            # Run Keras Python Package Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.KerasTest" --blame-hang-timeout 120seconds --blame-crash
-            # Run Scikeras Python Package Test
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.ScikerasTest" --blame-hang-timeout 120seconds --blame-crash
+            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.RiskparityportfolioTest" --blame-hang-timeout 120seconds --blame-crash && \
             # Run Transformers
-            dotnet test ./Tests/bin/Release/QuantConnect.Tests.dll --filter "FullyQualifiedName=QuantConnect.Tests.Python.PythonPackagesTests.Transformers|XTransformers" --blame-hang-timeout 120seconds --blame-crash
+            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

.gitignore

@@ -279,4 +279,5 @@ QuantConnect.Lean.sln.DotSettings*
 Research/Notebooks
 
 #Docker result files
-Results/
+Results/
+QuantConnect.Lean.sln.DotSettings

.vs/readme.md

@@ -12,16 +12,16 @@ This document contains information regarding ways to use Visual Studio to work w
 
 <h2>Option 1: Lean CLI</h2>
 
-To use Lean CLI follow the instructions for installation and tutorial for usage in our [documentation](https://www.quantconnect.com/docs/v2/lean-cli/getting-started/lean-cli).
+To use Lean CLI follow the instructions for installation and tutorial for usage in our [documentation](https://www.quantconnect.com/docs/v2/lean-cli/key-concepts/getting-started).
 
 <br />
 
 <h2>Option 2: Install Locally</h2>
 
-1. Install [.Net 6](https://dotnet.microsoft.com/download) for the project
+1. Install [.Net 9](https://dotnet.microsoft.com/en-us/download/dotnet/9.0) for the project
 
-2. (Optional) Get [Python 3.8.13](https://www.python.org/downloads/release/python-3813/) for running Python algorithms
-    - Follow Python instructions [here](https://github.com/QuantConnect/Lean/tree/master/Algorithm.Python#installing-python-38) for your platform
+2. (Optional) Get [Python 3.11.11](https://www.python.org/downloads/release/python-31111/) for running Python algorithms
+    - Follow Python instructions [here](https://github.com/QuantConnect/Lean/tree/master/Algorithm.Python#installing-python-311) for your platform
 
 3. Get [Visual Studio](https://visualstudio.microsoft.com/vs/)
 
@@ -35,7 +35,7 @@ Your environment is prepared and ready to run lean
 
 <h1>How to use Lean</h1>
 
-This section will cover configuring, launching and debugging lean. This is only applicable to option 2 from above. This does not apply to Lean CLI, please refer to [CLI documentation](https://www.quantconnect.com/docs/v2/lean-cli/getting-started/lean-cli)
+This section will cover configuring, launching and debugging lean. This is only applicable to option 2 from above. This does not apply to Lean CLI, please refer to [CLI documentation](https://www.quantconnect.com/docs/v2/lean-cli/key-concepts/getting-started)
 
 <br />
 

.vscode/readme.md

@@ -51,10 +51,10 @@ If you would like to mount any additional local files to your container, checkou
 
 <h2>Option 3: Install Dependencies Locally</h2>
 
-1. Install [.NET 6](https://dotnet.microsoft.com/en-us/download/dotnet/6.0) for the project
+1. Install [.NET 9](https://dotnet.microsoft.com/en-us/download/dotnet/9.0) for the project
 
-2. (Optional) Get [Python 3.8.13](https://www.python.org/downloads/release/python-3813/) for running Python algorithms
-    - Follow Python instructions [here](https://github.com/QuantConnect/Lean/tree/master/Algorithm.Python#installing-python-38) for your platform
+2. (Optional) Get [Python 3.11.11](https://www.python.org/downloads/release/python-31111/) for running Python algorithms
+    - Follow Python instructions [here](https://github.com/QuantConnect/Lean/tree/master/Algorithm.Python#installing-python-311) for your platform
 
 3. Get [Visual Studio Code](https://code.visualstudio.com/download)
     - Get the Extension [C#](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.csharp) for C# Debugging

Algorithm.CSharp/AccumulativeInsightPortfolioRegressionAlgorithm.cs

@@ -55,7 +55,7 @@ namespace QuantConnect.Algorithm.CSharp
                 ||
                 Portfolio.TotalHoldingsValue < Portfolio.TotalPortfolioValue * 0.01m)
             {
-                throw new Exception($"Unexpected Total Holdings Value: {Portfolio.TotalHoldingsValue}");
+                throw new RegressionTestException($"Unexpected Total Holdings Value: {Portfolio.TotalHoldingsValue}");
             }
         }
 
@@ -67,7 +67,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -79,17 +79,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "199"},
+            {"Total Orders", "199"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "-12.611%"},
             {"Drawdown", "0.200%"},
             {"Expectancy", "-0.585"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99827.80"},
             {"Net Profit", "-0.172%"},
             {"Sharpe Ratio", "-11.13"},
             {"Sortino Ratio", "-16.704"},
@@ -108,7 +115,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$26000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "119.89%"},
-            {"OrderListHash", "2b4c6d1cb2fc32e25f9a744e8aa7229a"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d06c26f557b83d8d42ac808fe2815a1e"}
         };
     }
 }

Algorithm.CSharp/AddAlphaModelAlgorithm.cs

@@ -66,7 +66,7 @@ namespace QuantConnect.Algorithm.CSharp
                 || insightsCollection.Insights.Count(insight => insight.Symbol == _spy) != 1
                 || insightsCollection.Insights.Count(insight => insight.Symbol == _ibm) != 1)
             {
-                throw new Exception("Unexpected insights were emitted");
+                throw new RegressionTestException("Unexpected insights were emitted");
             }
         }
 
@@ -103,7 +103,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -115,17 +115,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "9"},
+            {"Total Orders", "9"},
             {"Average Win", "0.86%"},
             {"Average Loss", "-0.27%"},
-            {"Compounding Annual Return", "184.364%"},
+            {"Compounding Annual Return", "206.404%"},
             {"Drawdown", "1.700%"},
             {"Expectancy", "1.781"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101441.92"},
             {"Net Profit", "1.442%"},
             {"Sharpe Ratio", "4.836"},
             {"Sortino Ratio", "10.481"},
@@ -141,10 +148,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0.532"},
             {"Treynor Ratio", "-1.174"},
             {"Total Fees", "$14.78"},
-            {"Estimated Strategy Capacity", "$47000000.00"},
+            {"Estimated Strategy Capacity", "$120000000.00"},
             {"Lowest Capacity Asset", "IBM R735QTJ8XC9X"},
             {"Portfolio Turnover", "41.18%"},
-            {"OrderListHash", "e07dec6ddf0ef6b5d9c791b0593ec4dc"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "713c956deb193bed2290e9f379c0f9f9"}
         };
     }
 }

Algorithm.CSharp/AddAndRemoveOptionContractRegressionAlgorithm.cs

@@ -40,10 +40,12 @@ namespace QuantConnect.Algorithm.CSharp
 
             var aapl = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
 
-            _contract = OptionChainProvider.GetOptionContractList(aapl, Time)
-                .OrderBy(symbol => symbol.ID.Symbol)
-                .FirstOrDefault(optionContract => optionContract.ID.OptionRight == OptionRight.Call
-                    && optionContract.ID.OptionStyle == OptionStyle.American);
+            _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);
             AddOptionContract(_contract);
         }
 
@@ -59,7 +61,7 @@ namespace QuantConnect.Algorithm.CSharp
                 }
                 else
                 {
-                    throw new Exception("Expect a single call to OnData where we removed the option and underlying");
+                    throw new RegressionTestException("Expect a single call to OnData where we removed the option and underlying");
                 }
             }
         }
@@ -68,7 +70,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (!_hasRemoved)
             {
-                throw new Exception("Expect a single call to OnData where we removed the option and underlying");
+                throw new RegressionTestException("Expect a single call to OnData where we removed the option and underlying");
             }
         }
 
@@ -80,29 +82,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 24;
+        public long DataPoints => 26;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "0"},
+            {"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"},
@@ -121,6 +130,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/AddAndRemoveSecuritySameLoopRegressionAlgorithm.cs

@@ -39,8 +39,8 @@ namespace QuantConnect.Algorithm.CSharp
 
             var aapl = AddEquity("AAPL").Symbol;
 
-            _contract = OptionChainProvider.GetOptionContractList(aapl, Time)
-                .OrderBy(symbol => symbol.ID.Symbol)
+            _contract = OptionChain(aapl)
+                .OrderBy(x => x.ID.Symbol)
                 .FirstOrDefault(optionContract => optionContract.ID.OptionRight == OptionRight.Call
                     && optionContract.ID.OptionStyle == OptionStyle.American);
         }
@@ -49,7 +49,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (_hasRemoved)
             {
-                throw new Exception("Expect a single call to OnData where we removed the option and underlying");
+                throw new RegressionTestException("Expect a single call to OnData where we removed the option and underlying");
             }
 
             _hasRemoved = true;
@@ -65,7 +65,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (!_hasRemoved)
             {
-                throw new Exception("We did not remove the option contract!");
+                throw new RegressionTestException("We did not remove the option contract!");
             }
         }
 
@@ -77,29 +77,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 24;
+        public long DataPoints => 25;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "0"},
+            {"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"},
@@ -118,6 +125,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/AddBetaIndicatorNewAssetsRegressionAlgorithm.cs

@@ -0,0 +1,152 @@
+/*
+ * 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 QuantConnect.Data;
+using QuantConnect.Indicators;
+using QuantConnect.Interfaces;
+using QuantConnect.Orders;
+using QuantConnect.Brokerages;
+
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// Regression test to explain how Beta indicator works
+    /// </summary>
+    public class AddBetaIndicatorNewAssetsRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Beta _beta;
+        private SimpleMovingAverage _sma;
+        private decimal _lastSMAValue;
+
+        public override void Initialize()
+        {
+            SetStartDate(2015, 05, 08);
+            SetEndDate(2017, 06, 15);
+            SetCash(10000);
+
+            AddCrypto("BTCUSD", Resolution.Daily);
+            AddEquity("SPY", Resolution.Daily);
+
+            EnableAutomaticIndicatorWarmUp = true;
+            _beta = B("BTCUSD", "SPY", 3, Resolution.Daily);
+            _sma = SMA("SPY", 3, Resolution.Daily);
+            _lastSMAValue = 0;
+
+            if (!_beta.IsReady)
+            {
+                throw new RegressionTestException("Beta indicator was expected to be ready");
+            }
+        }
+
+        public override void OnData(Slice slice)
+        {
+            var price = Securities["BTCUSD"].Price;
+
+            if (!Portfolio.Invested)
+            {
+                var quantityToBuy = (int)(Portfolio.Cash * 0.05m / price);
+                Buy("BTCUSD", quantityToBuy);
+            }
+
+            if (Math.Abs(_beta.Current.Value) > 2)
+            {
+                Liquidate("BTCUSD");
+                Log("Liquidated BTCUSD due to high Beta");
+            }
+
+            Log($"Beta between BTCUSD and SPY is: {_beta.Current.Value}");
+        }
+
+        public override void OnOrderEvent(OrderEvent orderEvent)
+        {
+            var order = Transactions.GetOrderById(orderEvent.OrderId);
+            var goUpwards = _lastSMAValue < _sma.Current.Value;
+            _lastSMAValue = _sma.Current.Value;
+
+            if (order.Status == OrderStatus.Filled)
+            {
+                if (order.Type == OrderType.Limit && Math.Abs(_beta.Current.Value - 1) < 0.2m && goUpwards)
+                {
+                    Transactions.CancelOpenOrders(order.Symbol);
+                }
+            }
+
+            if (order.Status == OrderStatus.Canceled)
+            {
+                Log(orderEvent.ToString());
+            }
+        }
+
+        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 virtual List<Language> Languages { get; } = new() { Language.CSharp };
+
+        /// <summary>
+        /// Data Points count of all timeslices of algorithm
+        /// </summary>
+        public long DataPoints => 5798;
+
+        /// <summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 26;
+
+        /// <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", "436"},
+            {"Average Win", "0.28%"},
+            {"Average Loss", "-0.01%"},
+            {"Compounding Annual Return", "1.925%"},
+            {"Drawdown", "1.000%"},
+            {"Expectancy", "1.649"},
+            {"Start Equity", "10000.00"},
+            {"End Equity", "10410.99"},
+            {"Net Profit", "4.110%"},
+            {"Sharpe Ratio", "0.332"},
+            {"Sortino Ratio", "0.313"},
+            {"Probabilistic Sharpe Ratio", "74.084%"},
+            {"Loss Rate", "90%"},
+            {"Win Rate", "10%"},
+            {"Profit-Loss Ratio", "25.25"},
+            {"Alpha", "0.003"},
+            {"Beta", "0.001"},
+            {"Annual Standard Deviation", "0.01"},
+            {"Annual Variance", "0"},
+            {"Information Ratio", "-0.495"},
+            {"Tracking Error", "0.111"},
+            {"Treynor Ratio", "2.716"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$87000.00"},
+            {"Lowest Capacity Asset", "BTCUSD 2XR"},
+            {"Portfolio Turnover", "2.22%"},
+            {"Drawdown Recovery", "139"},
+            {"OrderListHash", "896ecc92440d51ed26644aac5b8706e4"}
+        };
+    }
+}

Algorithm.CSharp/AddBetaIndicatorRegressionAlgorithm.cs

@@ -47,23 +47,23 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (!_beta.IsReady)
             {
-                throw new Exception("_beta indicator was expected to be ready");
+                throw new RegressionTestException("Beta indicator was expected to be ready");
             }
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
-                var price = data["IBM"].Close;
+                var price = slice["IBM"].Close;
                 Buy("IBM", 10);
                 LimitOrder("IBM", 10, price * 0.1m);
                 StopMarketOrder("IBM", 10, price / 0.1m);
             }
-            
+
             if (_beta.Current.Value < 0m || _beta.Current.Value > 2.80m)
             {
-                throw new Exception($"_beta value was expected to be between 0 and 2.80 but was {_beta.Current.Value}");
+                throw new RegressionTestException($"_beta value was expected to be between 0 and 2.80 but was {_beta.Current.Value}");
             }
 
             Log($"Beta between IBM and SPY is: {_beta.Current.Value}");
@@ -97,7 +97,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp};
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -109,17 +109,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public int AlgorithmHistoryDataPoints => 11;
 
+        /// <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 Trades", "1"},
+            {"Total Orders", "3"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "12.939%"},
             {"Drawdown", "0.300%"},
             {"Expectancy", "0"},
+            {"Start Equity", "10000"},
+            {"End Equity", "10028.93"},
             {"Net Profit", "0.289%"},
             {"Sharpe Ratio", "3.924"},
             {"Sortino Ratio", "0"},
@@ -138,7 +145,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$35000000.00"},
             {"Lowest Capacity Asset", "IBM R735QTJ8XC9X"},
             {"Portfolio Turnover", "1.51%"},
-            {"OrderListHash", "381bb9310f9dceb8a79a56849789bdab"}
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "1db1ce949db995bba20ed96ea5e2438a"}
         };
     }
 }

Algorithm.CSharp/AddFutureContractWithContinuousRegressionAlgorithm.cs

@@ -31,7 +31,6 @@ namespace QuantConnect.Algorithm.CSharp
     /// </summary>
     public class AddFutureContractWithContinuousRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
-        private Symbol _currentMappedSymbol;
         private Future _continuousContract;
         private Future _futureContract;
         private bool _ended;
@@ -50,26 +49,26 @@ namespace QuantConnect.Algorithm.CSharp
                 contractDepthOffset: 0
             );
 
-            _futureContract = AddFutureContract(FutureChainProvider.GetFutureContractList(_continuousContract.Symbol, Time).First());
+            _futureContract = AddFutureContract(FuturesChain(_continuousContract.Symbol).First());
         }
 
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (_ended)
             {
-                throw new Exception($"Algorithm should of ended!");
+                throw new RegressionTestException($"Algorithm should of ended!");
             }
-            if (data.Keys.Count > 2)
+            if (slice.Keys.Count > 2)
             {
-                throw new Exception($"Getting data for more than 2 symbols! {string.Join(",", data.Keys.Select(symbol => symbol))}");
+                throw new RegressionTestException($"Getting data for more than 2 symbols! {string.Join(",", slice.Keys.Select(symbol => symbol))}");
             }
             if (UniverseManager.Count != 3)
             {
-                throw new Exception($"Expecting 3 universes (chain, continuous and user defined) but have {UniverseManager.Count}");
+                throw new RegressionTestException($"Expecting 3 universes (chain, continuous and user defined) but have {UniverseManager.Count}");
             }
 
             if (!Portfolio.Invested)
@@ -99,7 +98,7 @@ namespace QuantConnect.Algorithm.CSharp
             if (changes.AddedSecurities.Any(security => security.Symbol != _continuousContract.Symbol && security.Symbol != _futureContract.Symbol)
                 || changes.RemovedSecurities.Any(security => security.Symbol != _continuousContract.Symbol && security.Symbol != _futureContract.Symbol))
             {
-                throw new Exception($"We got an unexpected security changes {changes}");
+                throw new RegressionTestException($"We got an unexpected security changes {changes}");
             }
         }
 
@@ -111,48 +110,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 63;
+        public long DataPoints => 61;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "3"},
+            {"Total Orders", "4"},
             {"Average Win", "0%"},
-            {"Average Loss", "-0.03%"},
-            {"Compounding Annual Return", "-2.594%"},
-            {"Drawdown", "0.000%"},
+            {"Average Loss", "-0.10%"},
+            {"Compounding Annual Return", "-14.232%"},
+            {"Drawdown", "0.200%"},
             {"Expectancy", "-1"},
-            {"Net Profit", "-0.034%"},
-            {"Sharpe Ratio", "-10.666"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99803.9"},
+            {"Net Profit", "-0.196%"},
+            {"Sharpe Ratio", "-7.95"},
             {"Sortino Ratio", "0"},
             {"Probabilistic Sharpe Ratio", "1.216%"},
             {"Loss Rate", "100%"},
             {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "-0.029"},
-            {"Beta", "0.004"},
-            {"Annual Standard Deviation", "0.003"},
+            {"Alpha", "-0.128"},
+            {"Beta", "0.026"},
+            {"Annual Standard Deviation", "0.016"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-0.768"},
-            {"Tracking Error", "0.241"},
-            {"Treynor Ratio", "-6.368"},
+            {"Information Ratio", "-1.186"},
+            {"Tracking Error", "0.237"},
+            {"Treynor Ratio", "-4.747"},
             {"Total Fees", "$8.60"},
-            {"Estimated Strategy Capacity", "$5500000.00"},
-            {"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
-            {"Portfolio Turnover", "66.80%"},
-            {"OrderListHash", "0ade3a7a7aaafa3263082c93cf17c4d8"}
+            {"Estimated Strategy Capacity", "$2000.00"},
+            {"Lowest Capacity Asset", "ES VU1EHIDJYLMP"},
+            {"Portfolio Turnover", "66.50%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "4720516462fcabb4db1aead46051cb4a"}
         };
     }
 }

Algorithm.CSharp/AddFutureOptionContractDataStreamingRegressionAlgorithm.cs

@@ -66,9 +66,9 @@ namespace QuantConnect.Algorithm.CSharp
             }
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            if (!data.HasData)
+            if (!slice.HasData)
             {
                 return;
             }
@@ -76,7 +76,7 @@ namespace QuantConnect.Algorithm.CSharp
             _onDataReached = true;
 
             var hasOptionQuoteBars = false;
-            foreach (var qb in data.QuoteBars.Values)
+            foreach (var qb in slice.QuoteBars.Values)
             {
                 if (qb.Symbol.SecurityType != SecurityType.FutureOption)
                 {
@@ -99,7 +99,7 @@ namespace QuantConnect.Algorithm.CSharp
                 return;
             }
 
-            if (data.ContainsKey(_es20h20) && data.ContainsKey(_es19m20))
+            if (slice.ContainsKey(_es20h20) && slice.ContainsKey(_es19m20))
             {
                 SetHoldings(_es20h20, 0.2);
                 SetHoldings(_es19m20, 0.2);
@@ -114,7 +114,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (!_onDataReached)
             {
-                throw new Exception("OnData() was never called.");
+                throw new RegressionTestException("OnData() was never called.");
             }
             if (_symbolsReceived.Count != _expectedSymbolsReceived.Count)
             {
@@ -132,7 +132,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (missingSymbols.Count > 0)
             {
-                throw new Exception($"Symbols: \"{string.Join(", ", missingSymbols)}\" were not found in OnData");
+                throw new RegressionTestException($"Symbols: \"{string.Join(", ", missingSymbols)}\" were not found in OnData");
             }
 
             foreach (var expectedSymbol in _expectedSymbolsReceived)
@@ -146,7 +146,7 @@ namespace QuantConnect.Algorithm.CSharp
 
                 if (nonDupeDataCount < 1000)
                 {
-                    throw new Exception($"Received too few data points. Expected >=1000, found {nonDupeDataCount} for {expectedSymbol}");
+                    throw new RegressionTestException($"Received too few data points. Expected >=1000, found {nonDupeDataCount} for {expectedSymbol}");
                 }
             }
         }
@@ -159,29 +159,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 311879;
+        public long DataPoints => 311881;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        public int AlgorithmHistoryDataPoints => 2;
+
+        /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "5512.811%"},
             {"Drawdown", "1.000%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "105332.8"},
             {"Net Profit", "5.333%"},
             {"Sharpe Ratio", "64.084"},
             {"Sortino Ratio", "0"},
@@ -200,7 +207,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$22000000.00"},
             {"Lowest Capacity Asset", "ES XFH59UK0MYO1"},
             {"Portfolio Turnover", "122.11%"},
-            {"OrderListHash", "679692e30a7cf3b54b09af766589df80"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d744fa8beaa60546c84924ed68d945d9"}
         };
     }
 }

Algorithm.CSharp/AddFutureOptionContractFromFutureChainRegressionAlgorithm.cs

@@ -40,16 +40,16 @@ namespace QuantConnect.Algorithm.CSharp
             });
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!_addedOptions)
             {
                 _addedOptions = true;
-                foreach (var futuresContracts in data.FutureChains.Values)
+                foreach (var futuresContracts in slice.FutureChains.Values)
                 {
                     foreach (var contract in futuresContracts)
                     {
-                        var option_contract_symbols = OptionChainProvider.GetOptionContractList(contract.Symbol, Time).ToList();
+                        var option_contract_symbols = OptionChain(contract.Symbol).ToList();
                         if(option_contract_symbols.Count == 0)
                         {
                             continue;
@@ -70,7 +70,7 @@ namespace QuantConnect.Algorithm.CSharp
                 return;
             }
 
-            foreach (var chain in data.OptionChains.Values)
+            foreach (var chain in slice.OptionChains.Values)
             {
                 foreach (var option in chain.Contracts.Keys)
                 {
@@ -88,29 +88,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 12164;
+        public long DataPoints => 9922;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        public int AlgorithmHistoryDataPoints => 2;
+
+        /// <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 Trades", "20"},
+            {"Total Orders", "20"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "386219349.202%"},
+            {"Compounding Annual Return", "88398927.578%"},
             {"Drawdown", "5.200%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "111911.55"},
             {"Net Profit", "11.912%"},
             {"Sharpe Ratio", "1604181.904"},
             {"Sortino Ratio", "0"},
@@ -127,9 +134,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "68696.045"},
             {"Total Fees", "$35.70"},
             {"Estimated Strategy Capacity", "$2600000.00"},
-            {"Lowest Capacity Asset", "ES 31C3JQS9D84PW|ES XCZJLC9NOB29"},
+            {"Lowest Capacity Asset", "ES 31C3JQS9DCF1G|ES XCZJLC9NOB29"},
             {"Portfolio Turnover", "495.15%"},
-            {"OrderListHash", "39179b5e977b8bf5411fbd31896a7953"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "af830085995d0b8fa0d33a6e80dd1241"}
         };
     }
 }

Algorithm.CSharp/AddFutureOptionContractWithInternalMappedUnderlyingRegressionAlgorithm.cs

@@ -0,0 +1,145 @@
+/*
+ * 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"}
+        };
+    }
+}

Algorithm.CSharp/AddFutureOptionSingleOptionChainSelectedInUniverseFilterRegressionAlgorithm.cs

@@ -55,10 +55,10 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 _optionFilterRan = true;
 
-                var expiry = new HashSet<DateTime>(optionContracts.Select(x => x.Underlying.ID.Date)).SingleOrDefault();
-                // Cast to IEnumerable<Symbol> because OptionFilterContract overrides some LINQ operators like `Select` and `Where`
+                var expiry = new HashSet<DateTime>(optionContracts.Select(x => x.Symbol.Underlying.ID.Date)).SingleOrDefault();
+                // Cast to List<Symbol> because OptionFilterContract overrides some LINQ operators like `Select` and `Where`
                 // and cause it to mutate the underlying Symbol collection when using those operators.
-                var symbol = new HashSet<Symbol>(((IEnumerable<Symbol>)optionContracts).Select(x => x.Underlying)).SingleOrDefault();
+                var symbol = new HashSet<Symbol>(((List<Symbol>)optionContracts).Select(x => x.Underlying)).SingleOrDefault();
 
                 if (expiry == null || symbol == null)
                 {
@@ -75,9 +75,9 @@ namespace QuantConnect.Algorithm.CSharp
             });
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            if (!data.HasData)
+            if (!slice.HasData)
             {
                 return;
             }
@@ -85,7 +85,7 @@ namespace QuantConnect.Algorithm.CSharp
             _onDataReached = true;
 
             var hasOptionQuoteBars = false;
-            foreach (var qb in data.QuoteBars.Values)
+            foreach (var qb in slice.QuoteBars.Values)
             {
                 if (qb.Symbol.SecurityType != SecurityType.FutureOption)
                 {
@@ -108,7 +108,7 @@ namespace QuantConnect.Algorithm.CSharp
                 return;
             }
 
-            foreach (var chain in data.OptionChains.Values)
+            foreach (var chain in slice.OptionChains.Values.OrderBy(x => x.Symbol.Underlying.ID.Date))
             {
                 var futureInvested = false;
                 var optionInvested = false;
@@ -122,7 +122,7 @@ namespace QuantConnect.Algorithm.CSharp
 
                     var future = option.Underlying;
 
-                    if (!optionInvested && data.ContainsKey(option))
+                    if (!optionInvested && slice.ContainsKey(option))
                     {
                         var optionContract = Securities[option];
                         var marginModel = optionContract.BuyingPowerModel as FuturesOptionsMarginModel;
@@ -131,16 +131,16 @@ namespace QuantConnect.Algorithm.CSharp
                             || marginModel.MaintenanceIntradayMarginRequirement == 0
                             || marginModel.MaintenanceOvernightMarginRequirement == 0)
                         {
-                            throw new Exception("Unexpected margin requirements");
+                            throw new RegressionTestException("Unexpected margin requirements");
                         }
 
                         if (marginModel.GetInitialMarginRequirement(optionContract, 1) == 0)
                         {
-                            throw new Exception("Unexpected Initial Margin requirement");
+                            throw new RegressionTestException("Unexpected Initial Margin requirement");
                         }
                         if (marginModel.GetMaintenanceMargin(optionContract) != 0)
                         {
-                            throw new Exception("Unexpected Maintenance Margin requirement");
+                            throw new RegressionTestException("Unexpected Maintenance Margin requirement");
                         }
 
                         MarketOrder(option, 1);
@@ -149,10 +149,10 @@ namespace QuantConnect.Algorithm.CSharp
 
                         if (marginModel.GetMaintenanceMargin(optionContract) == 0)
                         {
-                            throw new Exception("Unexpected Maintenance Margin requirement");
+                            throw new RegressionTestException("Unexpected Maintenance Margin requirement");
                         }
                     }
-                    if (!futureInvested && data.ContainsKey(future))
+                    if (!futureInvested && slice.ContainsKey(future))
                     {
                         MarketOrder(future, 1);
                         _invested = true;
@@ -170,7 +170,7 @@ namespace QuantConnect.Algorithm.CSharp
             }
             if (!_onDataReached)
             {
-                throw new Exception("OnData() was never called.");
+                throw new RegressionTestException("OnData() was never called.");
             }
             if (_symbolsReceived.Count != _expectedSymbolsReceived.Count)
             {
@@ -188,7 +188,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (missingSymbols.Count > 0)
             {
-                throw new Exception($"Symbols: \"{string.Join(", ", missingSymbols)}\" were not found in OnData");
+                throw new RegressionTestException($"Symbols: \"{string.Join(", ", missingSymbols)}\" were not found in OnData");
             }
 
             foreach (var expectedSymbol in _expectedSymbolsReceived)
@@ -202,7 +202,7 @@ namespace QuantConnect.Algorithm.CSharp
 
                 if (nonDupeDataCount < 1000)
                 {
-                    throw new Exception($"Received too few data points. Expected >=1000, found {nonDupeDataCount} for {expectedSymbol}");
+                    throw new RegressionTestException($"Received too few data points. Expected >=1000, found {nonDupeDataCount} for {expectedSymbol}");
                 }
             }
         }
@@ -215,48 +215,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 608372;
+        public long DataPoints => 319494;
 
         /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "347.065%"},
-            {"Drawdown", "0.900%"},
+            {"Compounding Annual Return", "430.834%"},
+            {"Drawdown", "4.200%"},
             {"Expectancy", "0"},
-            {"Net Profit", "1.951%"},
-            {"Sharpe Ratio", "15.402"},
+            {"Start Equity", "100000"},
+            {"End Equity", "102313.03"},
+            {"Net Profit", "2.313%"},
+            {"Sharpe Ratio", "17.721"},
             {"Sortino Ratio", "0"},
             {"Probabilistic Sharpe Ratio", "95.977%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"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"},
+            {"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"},
             {"Total Fees", "$3.57"},
-            {"Estimated Strategy Capacity", "$760000.00"},
-            {"Lowest Capacity Asset", "ES XCZJLDQX2SRO|ES XCZJLC9NOB29"},
-            {"Portfolio Turnover", "32.31%"},
-            {"OrderListHash", "b508146aff4ac449e9c6f502928e2115"}
+            {"Estimated Strategy Capacity", "$28000000.00"},
+            {"Lowest Capacity Asset", "ES XCZJLCA62LNO|ES XCZJLC9NOB29"},
+            {"Portfolio Turnover", "33.84%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "7c82013ecabca41591e0253a477025dd"}
         };
     }
 }

Algorithm.CSharp/AddFutureUniverseSelectionModelRegressionAlgorithm.cs

@@ -0,0 +1,131 @@
+/*
+ * 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"}
+        };
+    }
+}

Algorithm.CSharp/AddOptionContractExpiresRegressionAlgorithm.cs

@@ -42,12 +42,12 @@ namespace QuantConnect.Algorithm.CSharp
             AddUniverse("my-daily-universe-name", time => new List<string> { "AAPL" });
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (_option == null)
             {
-                var option = OptionChainProvider.GetOptionContractList(_twx, Time)
-                    .OrderBy(symbol => symbol.ID.Symbol)
+                var option = OptionChain(_twx)
+                    .OrderBy(x => x.ID.Symbol)
                     .FirstOrDefault(optionContract => optionContract.ID.Date == _expiration
                                                       && optionContract.ID.OptionRight == OptionRight.Call
                                                       && optionContract.ID.OptionStyle == OptionStyle.American);
@@ -68,11 +68,11 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (!config.Any())
                     {
-                        throw new Exception($"Was expecting configurations for {symbol}");
+                        throw new RegressionTestException($"Was expecting configurations for {symbol}");
                     }
                     if (config.Any(dataConfig => dataConfig.DataNormalizationMode != DataNormalizationMode.Raw))
                     {
-                        throw new Exception($"Was expecting DataNormalizationMode.Raw configurations for {symbol}");
+                        throw new RegressionTestException($"Was expecting DataNormalizationMode.Raw configurations for {symbol}");
                     }
                 }
             }
@@ -81,14 +81,14 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_option).Any())
                 {
-                    throw new Exception($"Unexpected configurations for {_option} after it has been delisted");
+                    throw new RegressionTestException($"Unexpected configurations for {_option} after it has been delisted");
                 }
 
                 if (Securities[_twx].Invested)
                 {
                     if (!SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_twx).Any())
                     {
-                        throw new Exception($"Was expecting configurations for {_twx}");
+                        throw new RegressionTestException($"Was expecting configurations for {_twx}");
                     }
 
                     // first we liquidate the option exercised position
@@ -99,7 +99,7 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_twx).Any())
                 {
-                    throw new Exception($"Unexpected configurations for {_twx} after it has been liquidated");
+                    throw new RegressionTestException($"Unexpected configurations for {_twx} after it has been liquidated");
                 }
             }
         }
@@ -112,29 +112,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 37597;
+        public long DataPoints => 37598;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "3"},
+            {"Total Orders", "3"},
             {"Average Win", "2.73%"},
             {"Average Loss", "-2.98%"},
             {"Compounding Annual Return", "-4.619%"},
             {"Drawdown", "0.300%"},
             {"Expectancy", "-0.042"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99668"},
             {"Net Profit", "-0.332%"},
             {"Sharpe Ratio", "-4.614"},
             {"Sortino Ratio", "0"},
@@ -151,9 +158,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "2.01"},
             {"Total Fees", "$2.00"},
             {"Estimated Strategy Capacity", "$5700000.00"},
-            {"Lowest Capacity Asset", "AOL VRKS95ENLBYE|AOL R735QTJ8XC9X"},
+            {"Lowest Capacity Asset", "AOL VRKS95ENPM9Y|AOL R735QTJ8XC9X"},
             {"Portfolio Turnover", "0.55%"},
-            {"OrderListHash", "402c66beb5c96b2f2ae357c49e890dc5"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d314aef81752b6583fd58f9e49054cd4"}
         };
     }
 }

Algorithm.CSharp/AddOptionContractFromUniverseRegressionAlgorithm.cs

@@ -13,12 +13,12 @@
  * limitations under the License.
 */
 
-using System;
-using System.Collections.Generic;
-using System.Linq;
 using QuantConnect.Data;
 using QuantConnect.Data.UniverseSelection;
 using QuantConnect.Interfaces;
+using System;
+using System.Collections.Generic;
+using System.Linq;
 
 namespace QuantConnect.Algorithm.CSharp
 {
@@ -50,7 +50,7 @@ namespace QuantConnect.Algorithm.CSharp
                 enumerable => new[] { Time.Date <= new DateTime(2014, 6, 5) ? _twx : _aapl });
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (_option != null && Securities[_option].Price != 0 && !_traded)
             {
@@ -66,7 +66,7 @@ namespace QuantConnect.Algorithm.CSharp
                     // assert underlying still there after the universe selection removed it, still used by the manually added option contract
                     if (!configs.Any())
                     {
-                        throw new Exception($"Was expecting configurations for {_twx}" +
+                        throw new RegressionTestException($"Was expecting configurations for {_twx}" +
                                             $" even after it has been deselected from coarse universe because we still have the option contract.");
                     }
                 }
@@ -83,7 +83,7 @@ namespace QuantConnect.Algorithm.CSharp
                         var configs = SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(symbol);
                         if (configs.Any())
                         {
-                            throw new Exception($"Unexpected configuration for {symbol} after it has been deselected from coarse universe and option contract is removed.");
+                            throw new RegressionTestException($"Unexpected configuration for {symbol} after it has been deselected from coarse universe and option contract is removed.");
                         }
                     }
                 }
@@ -94,11 +94,11 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (_securityChanges.RemovedSecurities.Intersect(changes.RemovedSecurities).Any())
             {
-                throw new Exception($"SecurityChanges.RemovedSecurities intersect {changes.RemovedSecurities}. We expect no duplicate!");
+                throw new RegressionTestException($"SecurityChanges.RemovedSecurities intersect {changes.RemovedSecurities}. We expect no duplicate!");
             }
             if (_securityChanges.AddedSecurities.Intersect(changes.AddedSecurities).Any())
             {
-                throw new Exception($"SecurityChanges.AddedSecurities intersect {changes.RemovedSecurities}. We expect no duplicate!");
+                throw new RegressionTestException($"SecurityChanges.AddedSecurities intersect {changes.RemovedSecurities}. We expect no duplicate!");
             }
             // keep track of all removed and added securities
             _securityChanges += changes;
@@ -110,24 +110,24 @@ namespace QuantConnect.Algorithm.CSharp
 
             foreach (var addedSecurity in changes.AddedSecurities)
             {
-                var option = OptionChainProvider.GetOptionContractList(addedSecurity.Symbol, Time)
-                    .OrderBy(symbol => symbol.ID.Symbol)
+                var option = OptionChain(addedSecurity.Symbol)
+                    .OrderBy(contractData => contractData.ID.Symbol)
                     .First(optionContract => optionContract.ID.Date == _expiration
                                                       && optionContract.ID.OptionRight == OptionRight.Call
                                                       && optionContract.ID.OptionStyle == OptionStyle.American);
                 AddOptionContract(option);
 
-                foreach (var symbol in new[] { option, option.Underlying })
+                foreach (var symbol in new[] { option.Symbol, option.UnderlyingSymbol })
                 {
                     var config = SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(symbol).ToList();
 
                     if (!config.Any())
                     {
-                        throw new Exception($"Was expecting configurations for {symbol}");
+                        throw new RegressionTestException($"Was expecting configurations for {symbol}");
                     }
                     if (config.Any(dataConfig => dataConfig.DataNormalizationMode != DataNormalizationMode.Raw))
                     {
-                        throw new Exception($"Was expecting DataNormalizationMode.Raw configurations for {symbol}");
+                        throw new RegressionTestException($"Was expecting DataNormalizationMode.Raw configurations for {symbol}");
                     }
                 }
 
@@ -143,16 +143,16 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (SubscriptionManager.Subscriptions.Any(dataConfig => dataConfig.Symbol == _twx || dataConfig.Symbol.Underlying == _twx))
             {
-                throw new Exception($"Was NOT expecting any configurations for {_twx} or it's options, since we removed the contract");
+                throw new RegressionTestException($"Was NOT expecting any configurations for {_twx} or it's options, since we removed the contract");
             }
 
             if (SubscriptionManager.Subscriptions.All(dataConfig => dataConfig.Symbol != _aapl))
             {
-                throw new Exception($"Was expecting configurations for {_aapl}");
+                throw new RegressionTestException($"Was expecting configurations for {_aapl}");
             }
             if (SubscriptionManager.Subscriptions.All(dataConfig => dataConfig.Symbol.Underlying != _aapl))
             {
-                throw new Exception($"Was expecting options configurations for {_aapl}");
+                throw new RegressionTestException($"Was expecting options configurations for {_aapl}");
             }
         }
 
@@ -164,29 +164,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 5798;
+        public long DataPoints => 5800;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        public int AlgorithmHistoryDataPoints => 2;
+
+        /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "-0.23%"},
             {"Compounding Annual Return", "-15.596%"},
             {"Drawdown", "0.200%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99768"},
             {"Net Profit", "-0.232%"},
             {"Sharpe Ratio", "-8.903"},
             {"Sortino Ratio", "0"},
@@ -203,9 +210,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "0.335"},
             {"Total Fees", "$2.00"},
             {"Estimated Strategy Capacity", "$2800000.00"},
-            {"Lowest Capacity Asset", "AOL VRKS95ENLBYE|AOL R735QTJ8XC9X"},
+            {"Lowest Capacity Asset", "AOL VRKS95ENPM9Y|AOL R735QTJ8XC9X"},
             {"Portfolio Turnover", "1.14%"},
-            {"OrderListHash", "99fd501dbd9e78656be9b32869fc32e0"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "e33b98d8e94ed92d0441fc6fe0d461fb"}
         };
     }
 }

Algorithm.CSharp/AddOptionContractTwiceRegressionAlgorithm.cs

@@ -39,12 +39,12 @@ namespace QuantConnect.Algorithm.CSharp
             UniverseSettings.MinimumTimeInUniverse = TimeSpan.Zero;
             UniverseSettings.FillForward = false;
 
-            AddEquity("SPY", Resolution.Daily);
+            AddEquity("SPY", Resolution.Hour);
 
             var aapl = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
 
-            _contract = OptionChainProvider.GetOptionContractList(aapl, Time)
-                .OrderBy(symbol => symbol.ID.Symbol)
+            _contract = OptionChain(aapl)
+                .OrderBy(x => x.ID.StrikePrice)
                 .FirstOrDefault(optionContract => optionContract.ID.OptionRight == OptionRight.Call
                     && optionContract.ID.OptionStyle == OptionStyle.American);
             AddOptionContract(_contract);
@@ -56,7 +56,7 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 if (!_reAdded && slice.ContainsKey(_contract) && slice.ContainsKey(_contract.Underlying))
                 {
-                    throw new Exception("Getting data for removed option and underlying!");
+                    throw new RegressionTestException("Getting data for removed option and underlying!");
                 }
 
                 if (!Portfolio.Invested && _reAdded)
@@ -95,11 +95,11 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (!_hasRemoved)
             {
-                throw new Exception("We did not remove the option contract!");
+                throw new RegressionTestException("We did not remove the option contract!");
             }
             if (!_reAdded)
             {
-                throw new Exception("We did not re add the option contract!");
+                throw new RegressionTestException("We did not re add the option contract!");
             }
         }
 
@@ -111,30 +111,37 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 4677;
+        public long DataPoints => 3818;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
-            {"Average Loss", "-0.05%"},
-            {"Compounding Annual Return", "-4.548%"},
-            {"Drawdown", "0.100%"},
+            {"Average Loss", "-0.50%"},
+            {"Compounding Annual Return", "-39.406%"},
+            {"Drawdown", "0.700%"},
             {"Expectancy", "-1"},
-            {"Net Profit", "-0.051%"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99498"},
+            {"Net Profit", "-0.502%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
             {"Probabilistic Sharpe Ratio", "0%"},
@@ -149,10 +156,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0.008"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$2.00"},
-            {"Estimated Strategy Capacity", "$30000.00"},
-            {"Lowest Capacity Asset", "AAPL VXBK4Q9ZIFD2|AAPL R735QTJ8XC9X"},
-            {"Portfolio Turnover", "0.07%"},
-            {"OrderListHash", "b01a993665c5333c37de9dbef0717e14"}
+            {"Estimated Strategy Capacity", "$5000000.00"},
+            {"Lowest Capacity Asset", "AAPL VXBK4R62H7S6|AAPL R735QTJ8XC9X"},
+            {"Portfolio Turnover", "22.70%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "71511e4929377cd55fbf5e7e9555c248"}
         };
     }
 }

Algorithm.CSharp/AddOptionUniverseSelectionModelRegressionAlgorithm.cs

@@ -0,0 +1,146 @@
+/*
+ * 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"}
+        };
+    }
+}

Algorithm.CSharp/AddOptionWithOnMarketOpenOnlyFilterRegressionAlgorithm.cs

@@ -13,7 +13,6 @@
  * limitations under the License.
 */
 
-using System;
 using System.Collections.Generic;
 using System.Linq;
 using QuantConnect.Data.UniverseSelection;
@@ -59,19 +58,9 @@ namespace QuantConnect.Algorithm.CSharp
             var changeOptions = changes.AddedSecurities.Concat(changes.RemovedSecurities)
                                                                         .Where(s => s.Type == SecurityType.Option);
 
-            // Susbtract one minute to get the actual market open. If market open is at 9:30am, this will be invoked at 9:31am
-            var expectedTime = Time.TimeOfDay - TimeSpan.FromMinutes(1);
-            var allOptionsWereChangedOnMarketOpen = changeOptions.All(s =>
+            if (Time != Time.Date)
             {
-                var firstMarketSegment = s.Exchange.Hours.MarketHours[Time.DayOfWeek].Segments
-                                                         .First(segment => segment.State == MarketHoursState.Market);
-
-                return firstMarketSegment.Start == expectedTime;
-            });
-
-            if (!allOptionsWereChangedOnMarketOpen)
-            {
-                throw new Exception("Expected options filter to be run only on market open");
+                throw new RegressionTestException($"Expected options filter to be run only at midnight. Actual was {Time}");
             }
         }
 
@@ -83,29 +72,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all time slices of algorithm
         /// </summary>
-        public long DataPoints => 5952220;
+        public long DataPoints => 470217;
 
         /// <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 Trades", "0"},
+            {"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"},
@@ -124,6 +120,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/AddRemoveOptionUniverseRegressionAlgorithm.cs

@@ -29,20 +29,21 @@ namespace QuantConnect.Algorithm.CSharp
     public class AddRemoveOptionUniverseRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
         private const string UnderlyingTicker = "GOOG";
-        public readonly Symbol Underlying = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Equity, Market.USA);
-        public readonly Symbol OptionChainSymbol = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Option, Market.USA);
+        private readonly Symbol Underlying = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Equity, Market.USA);
+        private readonly Symbol OptionChainSymbol = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Option, Market.USA);
         private readonly HashSet<Symbol> _expectedSecurities = new HashSet<Symbol>();
         private readonly HashSet<Symbol> _expectedData = new HashSet<Symbol>();
         private readonly HashSet<Symbol> _expectedUniverses = new HashSet<Symbol>();
         private bool _expectUniverseSubscription;
+        private DateTime _universeSubscriptionTime;
 
         // order of expected contract additions as price moves
         private int _expectedContractIndex;
         private readonly List<Symbol> _expectedContracts = new List<Symbol>
         {
-            SymbolRepresentation.ParseOptionTickerOSI("GOOG  151224P00747500"),
             SymbolRepresentation.ParseOptionTickerOSI("GOOG  151224P00750000"),
-            SymbolRepresentation.ParseOptionTickerOSI("GOOG  151224P00752500")
+            SymbolRepresentation.ParseOptionTickerOSI("GOOG  151224P00752500"),
+            SymbolRepresentation.ParseOptionTickerOSI("GOOG  151224P00755000")
         };
 
         public override void Initialize()
@@ -59,16 +60,16 @@ namespace QuantConnect.Algorithm.CSharp
             _expectedUniverses.Add(UserDefinedUniverse.CreateSymbol(SecurityType.Equity, Market.USA));
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             // verify expectations
             if (SubscriptionManager.Subscriptions.Count(x => x.Symbol == OptionChainSymbol)
                 != (_expectUniverseSubscription ? 1 : 0))
             {
                 Log($"SubscriptionManager.Subscriptions:  {string.Join(" -- ", SubscriptionManager.Subscriptions)}");
-                throw new Exception($"Unexpected {OptionChainSymbol} subscription presence");
+                throw new RegressionTestException($"Unexpected {OptionChainSymbol} subscription presence");
             }
-            if (!data.ContainsKey(Underlying))
+            if (Time != _universeSubscriptionTime && !slice.ContainsKey(Underlying))
             {
                 // TODO : In fact, we're unable to properly detect whether or not we auto-added or it was manually added
                 // this is because when we auto-add the underlying we don't mark it as an internal security like we do with other auto adds
@@ -77,42 +78,42 @@ namespace QuantConnect.Algorithm.CSharp
                 // of the internal flag's purpose, so kicking this issue for now with a big fat note here about it :) to be considerd for any future
                 // refactorings of how we manage subscription/security data and track various aspects about the security (thinking a flags enum with
                 // things like manually added, auto added, internal, and any other boolean state we need to track against a single security)
-                throw new Exception("The underlying equity data should NEVER be removed in this algorithm because it was manually added");
+                throw new RegressionTestException("The underlying equity data should NEVER be removed in this algorithm because it was manually added");
             }
             if (_expectedSecurities.AreDifferent(Securities.Total.Select(x => x.Symbol).ToHashSet()))
             {
                 var expected = string.Join(Environment.NewLine, _expectedSecurities.OrderBy(s => s.ToString()));
                 var actual = string.Join(Environment.NewLine, Securities.Keys.OrderBy(s => s.ToString()));
-                throw new Exception($"{Time}:: Detected differences in expected and actual securities{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
+                throw new RegressionTestException($"{Time}:: Detected differences in expected and actual securities{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
             }
             if (_expectedUniverses.AreDifferent(UniverseManager.Keys.ToHashSet()))
             {
                 var expected = string.Join(Environment.NewLine, _expectedUniverses.OrderBy(s => s.ToString()));
                 var actual = string.Join(Environment.NewLine, UniverseManager.Keys.OrderBy(s => s.ToString()));
-                throw new Exception($"{Time}:: Detected differences in expected and actual universes{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
+                throw new RegressionTestException($"{Time}:: Detected differences in expected and actual universes{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
             }
-            if (_expectedData.AreDifferent(data.Keys.ToHashSet()))
+            if (Time != _universeSubscriptionTime && _expectedData.AreDifferent(slice.Keys.ToHashSet()))
             {
                 var expected = string.Join(Environment.NewLine, _expectedData.OrderBy(s => s.ToString()));
-                var actual = string.Join(Environment.NewLine, data.Keys.OrderBy(s => s.ToString()));
-                throw new Exception($"{Time}:: Detected differences in expected and actual slice data keys{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
+                var actual = string.Join(Environment.NewLine, slice.Keys.OrderBy(s => s.ToString()));
+                throw new RegressionTestException($"{Time}:: Detected differences in expected and actual slice data keys{Environment.NewLine}Expected:{Environment.NewLine}{expected}{Environment.NewLine}Actual:{Environment.NewLine}{actual}");
             }
 
             // 10AM add GOOG option chain
-            if (Time.TimeOfDay.Hours == 10 && Time.TimeOfDay.Minutes == 0)
+            if (Time.TimeOfDay.Hours == 10 && Time.TimeOfDay.Minutes == 0 && !_expectUniverseSubscription)
             {
                 if (Securities.ContainsKey(OptionChainSymbol))
                 {
-                    throw new Exception("The option chain security should not have been added yet");
+                    throw new RegressionTestException("The option chain security should not have been added yet");
                 }
 
                 var googOptionChain = AddOption(UnderlyingTicker);
                 googOptionChain.SetFilter(u =>
                 {
                     // we added the universe at 10, the universe selection data should not be from before
-                    if (u.Underlying.EndTime.Hour < 10)
+                    if (u.LocalTime.Hour < 10)
                     {
-                        throw new Exception($"Unexpected underlying data point {u.Underlying.EndTime} {u.Underlying}");
+                        throw new RegressionTestException($"Unexpected selection time {u.LocalTime}");
                     }
                     // find first put above market price
                     return u.IncludeWeeklys()
@@ -124,6 +125,7 @@ namespace QuantConnect.Algorithm.CSharp
                 _expectedSecurities.Add(OptionChainSymbol);
                 _expectedUniverses.Add(OptionChainSymbol);
                 _expectUniverseSubscription = true;
+                _universeSubscriptionTime = Time;
             }
 
             // 11:30AM remove GOOG option chain
@@ -151,7 +153,7 @@ namespace QuantConnect.Algorithm.CSharp
                         var expectedContract = _expectedContracts[_expectedContractIndex];
                         if (added.Symbol != expectedContract)
                         {
-                            throw new Exception($"Expected option contract {expectedContract} to be added but received {added.Symbol}");
+                            throw new RegressionTestException($"Expected option contract {expectedContract.Value} to be added but received {added.Symbol}");
                         }
 
                         _expectedContractIndex++;
@@ -172,7 +174,7 @@ namespace QuantConnect.Algorithm.CSharp
                 // receive removed event next timestep at 11:31AM
                 if (Time.TimeOfDay.Hours != 11 || Time.TimeOfDay.Minutes != 31)
                 {
-                    throw new Exception($"Expected option contracts to be removed at 11:31AM, instead removed at: {Time}");
+                    throw new RegressionTestException($"Expected option contracts to be removed at 11:31AM, instead removed at: {Time}");
                 }
 
                 if (changes.RemovedSecurities
@@ -180,13 +182,13 @@ namespace QuantConnect.Algorithm.CSharp
                     .ToHashSet(s => s.Symbol)
                     .AreDifferent(_expectedContracts.ToHashSet()))
                 {
-                    throw new Exception("Expected removed securities to equal expected contracts added");
+                    throw new RegressionTestException("Expected removed securities to equal expected contracts added");
                 }
             }
 
             if (Securities.ContainsKey(Underlying))
             {
-                Console.WriteLine($"{Time:o}:: PRICE:: {Securities[Underlying].Price} CHANGES:: {changes}");
+                Log($"{Time:o}:: PRICE:: {Securities[Underlying].Price} CHANGES:: {changes}");
             }
         }
 
@@ -198,29 +200,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 200807;
+        public long DataPoints => 3502;
 
         /// <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 Trades", "6"},
+            {"Total Orders", "6"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "98784"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -236,10 +245,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$6.00"},
-            {"Estimated Strategy Capacity", "$3000.00"},
-            {"Lowest Capacity Asset", "GOOCV 305RBR0BSWIX2|GOOCV VP83T1ZUHROL"},
-            {"Portfolio Turnover", "1.49%"},
-            {"OrderListHash", "3adcc7ebf4153baabb073a8152e8cb2b"}
+            {"Estimated Strategy Capacity", "$4000.00"},
+            {"Lowest Capacity Asset", "GOOCV 305RBQ2BZGA4M|GOOCV VP83T1ZUHROL"},
+            {"Portfolio Turnover", "2.58%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "f418de0673fc166487daf80991dfe3a0"}
         };
     }
 }

Algorithm.CSharp/AddRemoveSecurityCacheRegressionAlgorithm.cs

@@ -41,8 +41,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -59,9 +59,9 @@ namespace QuantConnect.Algorithm.CSharp
 
                 var ticket = MarketOrder("AIG", 1);
 
-                if (ticket.Status != OrderStatus.Invalid)
+                if (ticket.Status != OrderStatus.Invalid || aig.HasData || aig.Price != 0)
                 {
-                    throw new Exception("Expected order to always be invalid because there is no data yet!");
+                    throw new RegressionTestException("Expected order to always be invalid because there is no data yet!");
                 }
             }
             else
@@ -78,29 +78,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 11202;
+        public long DataPoints => 15042;
 
         /// <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 Trades", "19"},
+            {"Total Orders", "19"},
             {"Average Win", "0%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "271.720%"},
             {"Drawdown", "2.500%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101753.84"},
             {"Net Profit", "1.754%"},
             {"Sharpe Ratio", "11.954"},
             {"Sortino Ratio", "29.606"},
@@ -119,7 +126,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$830000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "20.49%"},
-            {"OrderListHash", "48d8e1195003665a2febf547c075d07f"}
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "6ebe462373e2ecc22de8eb2fe114d704"}
         };
     }
 }

Algorithm.CSharp/AddRemoveSecurityRegressionAlgorithm.cs

@@ -18,6 +18,7 @@ using System.Collections.Generic;
 using QuantConnect.Data.Market;
 using QuantConnect.Orders;
 using QuantConnect.Interfaces;
+using QuantConnect.Data;
 
 namespace QuantConnect.Algorithm.CSharp
 {
@@ -51,7 +52,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public void OnData(TradeBars data)
+        public override void OnData(Slice slice)
         {
             if (lastAction.Date == Time.Date) return;
 
@@ -104,29 +105,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 7063;
+        public long DataPoints => 7065;
 
         /// <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 Trades", "5"},
+            {"Total Orders", "5"},
             {"Average Win", "0.46%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "296.356%"},
             {"Drawdown", "1.400%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101776.32"},
             {"Net Profit", "1.776%"},
             {"Sharpe Ratio", "12.966"},
             {"Sortino Ratio", "0"},
@@ -145,7 +153,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$4700000.00"},
             {"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
             {"Portfolio Turnover", "29.88%"},
-            {"OrderListHash", "b26f2f30082b754b065c41bb0ace44cc"}
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "f04b3521256c7d6740966bc3df34e7b1"}
         };
     }
 }

Algorithm.CSharp/AddRiskManagementAlgorithm.cs

@@ -57,7 +57,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -69,17 +69,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "3"},
+            {"Total Orders", "3"},
             {"Average Win", "1.02%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "296.066%"},
             {"Drawdown", "2.200%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101775.37"},
             {"Net Profit", "1.775%"},
             {"Sharpe Ratio", "9.34"},
             {"Sortino Ratio", "0"},
@@ -98,7 +105,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$38000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "59.74%"},
-            {"OrderListHash", "b5a7935f37d94eb20f6bcd88578dbaee"}
+            {"Drawdown Recovery", "3"},
+            {"OrderListHash", "5d7657ec9954875eca633bed711085d3"}
         };
     }
 }

Algorithm.CSharp/AddTwoAndRemoveOneOptionContractRegressionAlgorithm.cs

@@ -41,8 +41,8 @@ namespace QuantConnect.Algorithm.CSharp
 
             var aapl = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
 
-            var contracts = OptionChainProvider.GetOptionContractList(aapl, Time)
-                .OrderBy(symbol => symbol.ID.Symbol)
+            var contracts = OptionChain(aapl)
+                .OrderBy(x => x.ID.StrikePrice)
                 .Where(optionContract => optionContract.ID.OptionRight == OptionRight.Call
                     && optionContract.ID.OptionStyle == OptionStyle.American)
                 .Take(2)
@@ -69,7 +69,7 @@ namespace QuantConnect.Algorithm.CSharp
                         SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs("AAPL");
                     if (subscriptions.Count == 0)
                     {
-                        throw new Exception("No configuration for underlying was found!");
+                        throw new RegressionTestException("No configuration for underlying was found!");
                     }
 
                     if (!Portfolio.Invested)
@@ -84,7 +84,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (!_hasRemoved)
             {
-                throw new Exception("Expect a single call to OnData where we removed the option and underlying");
+                throw new RegressionTestException("Expect a single call to OnData where we removed the option and underlying");
             }
         }
 
@@ -96,29 +96,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 1578;
+        public long DataPoints => 1579;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 0;
+        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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99238"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -134,10 +141,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$2.00"},
-            {"Estimated Strategy Capacity", "$230000.00"},
-            {"Lowest Capacity Asset", "AAPL VXBK4QQIRLZA|AAPL R735QTJ8XC9X"},
-            {"Portfolio Turnover", "0.25%"},
-            {"OrderListHash", "afec48c499382b1d01af22daafe9f648"}
+            {"Estimated Strategy Capacity", "$6200000.00"},
+            {"Lowest Capacity Asset", "AAPL VXBK4QA5IWKM|AAPL R735QTJ8XC9X"},
+            {"Portfolio Turnover", "90.27%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "a332b93ff5e2dfe89258c450a64c7125"}
         };
     }
 }

Algorithm.CSharp/AddUniverseSelectionModelAlgorithm.cs

@@ -57,14 +57,14 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (UniverseManager.Count != 3)
             {
-                throw new Exception("Unexpected universe count");
+                throw new RegressionTestException("Unexpected universe count");
             }
             if (UniverseManager.ActiveSecurities.Count != 3
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "SPY")
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "AAPL")
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "FB"))
             {
-                throw new Exception("Unexpected active securities");
+                throw new RegressionTestException("Unexpected active securities");
             }
         }
 
@@ -76,48 +76,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 53;
+        public long DataPoints => 50;
 
         /// <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 Trades", "10"},
-            {"Average Win", "0%"},
-            {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-14.233%"},
-            {"Drawdown", "3.300%"},
-            {"Expectancy", "-1"},
-            {"Net Profit", "-0.168%"},
-            {"Sharpe Ratio", "62.464"},
+            {"Total Orders", "6"},
+            {"Average Win", "0.01%"},
+            {"Average Loss", "0%"},
+            {"Compounding Annual Return", "1296.838%"},
+            {"Drawdown", "0.400%"},
+            {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "102684.23"},
+            {"Net Profit", "2.684%"},
+            {"Sharpe Ratio", "34.319"},
             {"Sortino Ratio", "0"},
             {"Probabilistic Sharpe Ratio", "0%"},
-            {"Loss Rate", "100%"},
-            {"Win Rate", "0%"},
+            {"Loss Rate", "0%"},
+            {"Win Rate", "100%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "1.117"},
-            {"Beta", "1.19"},
-            {"Annual Standard Deviation", "0.213"},
-            {"Annual Variance", "0.046"},
-            {"Information Ratio", "70.778"},
-            {"Tracking Error", "0.043"},
-            {"Treynor Ratio", "11.2"},
-            {"Total Fees", "$22.21"},
-            {"Estimated Strategy Capacity", "$340000000.00"},
+            {"Alpha", "-5.738"},
+            {"Beta", "1.381"},
+            {"Annual Standard Deviation", "0.246"},
+            {"Annual Variance", "0.06"},
+            {"Information Ratio", "-26.937"},
+            {"Tracking Error", "0.068"},
+            {"Treynor Ratio", "6.106"},
+            {"Total Fees", "$18.61"},
+            {"Estimated Strategy Capacity", "$980000000.00"},
             {"Lowest Capacity Asset", "FB V6OIPNZEM8V9"},
-            {"Portfolio Turnover", "26.92%"},
-            {"OrderListHash", "be09b39c5d01b0694f474ea7f7c5ae09"}
+            {"Portfolio Turnover", "25.56%"},
+            {"Drawdown Recovery", "1"},
+            {"OrderListHash", "5ee20c8556d706ab0a63ae41b6579c62"}
         };
     }
 }

Algorithm.CSharp/AddUniverseSelectionModelCoarseAlgorithm.cs

@@ -68,14 +68,14 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (UniverseManager.Count != 3)
             {
-                throw new Exception("Unexpected universe count");
+                throw new RegressionTestException("Unexpected universe count");
             }
             if (UniverseManager.ActiveSecurities.Count != 3
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "SPY")
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "AAPL")
                 || UniverseManager.ActiveSecurities.Keys.All(symbol => symbol.Value != "FB"))
             {
-                throw new Exception("Unexpected active securities");
+                throw new RegressionTestException("Unexpected active securities");
             }
         }
 
@@ -87,48 +87,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 234018;
+        public long DataPoints => 234015;
 
         /// <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 Trades", "21"},
-            {"Average Win", "0.00%"},
+            {"Total Orders", "21"},
+            {"Average Win", "0.01%"},
             {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-75.275%"},
-            {"Drawdown", "5.800%"},
-            {"Expectancy", "-0.609"},
-            {"Net Profit", "-5.581%"},
-            {"Sharpe Ratio", "-3.288"},
-            {"Sortino Ratio", "-3.828"},
-            {"Probabilistic Sharpe Ratio", "5.546%"},
-            {"Loss Rate", "73%"},
-            {"Win Rate", "27%"},
-            {"Profit-Loss Ratio", "0.43"},
-            {"Alpha", "-0.495"},
-            {"Beta", "1.484"},
-            {"Annual Standard Deviation", "0.196"},
-            {"Annual Variance", "0.039"},
-            {"Information Ratio", "-3.843"},
-            {"Tracking Error", "0.141"},
-            {"Treynor Ratio", "-0.435"},
-            {"Total Fees", "$31.25"},
-            {"Estimated Strategy Capacity", "$550000000.00"},
+            {"Compounding Annual Return", "-77.566%"},
+            {"Drawdown", "6.000%"},
+            {"Expectancy", "-0.811"},
+            {"Start Equity", "100000"},
+            {"End Equity", "94042.73"},
+            {"Net Profit", "-5.957%"},
+            {"Sharpe Ratio", "-3.345"},
+            {"Sortino Ratio", "-3.766"},
+            {"Probabilistic Sharpe Ratio", "4.557%"},
+            {"Loss Rate", "89%"},
+            {"Win Rate", "11%"},
+            {"Profit-Loss Ratio", "0.70"},
+            {"Alpha", "-0.519"},
+            {"Beta", "1.491"},
+            {"Annual Standard Deviation", "0.2"},
+            {"Annual Variance", "0.04"},
+            {"Information Ratio", "-3.878"},
+            {"Tracking Error", "0.147"},
+            {"Treynor Ratio", "-0.449"},
+            {"Total Fees", "$29.11"},
+            {"Estimated Strategy Capacity", "$680000000.00"},
             {"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
-            {"Portfolio Turnover", "7.33%"},
-            {"OrderListHash", "b2ec2148ac94b67038a5bb4a2655f0a6"}
+            {"Portfolio Turnover", "7.48%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "2c814c55e7d7c56482411c065b861b33"}
         };
     }
 }

Algorithm.CSharp/AdjustedVolumeRegressionAlgorithm.cs

@@ -63,21 +63,21 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
                 SetHoldings(_aapl, 1);
             }
 
-            if (data.Splits.ContainsKey(_aapl))
+            if (slice.Splits.ContainsKey(_aapl))
             {
-                Log(data.Splits[_aapl].ToString());
+                Log(slice.Splits[_aapl].ToString());
             }
 
-            if (data.Bars.ContainsKey(_aapl))
+            if (slice.Bars.ContainsKey(_aapl))
             {
-                var aaplData = data.Bars[_aapl];
+                var aaplData = slice.Bars[_aapl];
 
                 // Assert our volume matches what we expect
                 if (_expectedAdjustedVolume.MoveNext() && _expectedAdjustedVolume.Current != aaplData.Volume)
@@ -99,9 +99,9 @@ namespace QuantConnect.Algorithm.CSharp
                 }
             }
 
-            if (data.QuoteBars.ContainsKey(_aapl))
+            if (slice.QuoteBars.ContainsKey(_aapl))
             {
-                var aaplQuoteData = data.QuoteBars[_aapl];
+                var aaplQuoteData = slice.QuoteBars[_aapl];
 
                 // Assert our askSize matches what we expect
                 if (_expectedAdjustedAskSize.MoveNext() && _expectedAdjustedAskSize.Current != aaplQuoteData.LastAskSize)
@@ -151,7 +151,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -163,17 +163,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "100146.57"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -192,7 +199,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$42000000.00"},
             {"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
             {"Portfolio Turnover", "99.56%"},
-            {"OrderListHash", "92cacc8a537ff29960b6d092c3f92cf1"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "60f03c8c589a4f814dc4e8945df23207"}
         };
     }
 }

Algorithm.CSharp/AlgorithmModeAndDeploymentTargetAlgorithm.cs

@@ -34,25 +34,25 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (AlgorithmMode != AlgorithmMode.Backtesting)
             {
-                throw new Exception($"Algorithm mode is not backtesting. Actual: {AlgorithmMode}");
+                throw new RegressionTestException($"Algorithm mode is not backtesting. Actual: {AlgorithmMode}");
             }
 
             if (LiveMode)
             {
-                throw new Exception("Algorithm should not be live");
+                throw new RegressionTestException("Algorithm should not be live");
             }
 
             if (DeploymentTarget != DeploymentTarget.LocalPlatform)
             {
-                throw new Exception($"Algorithm deployment target is not local. Actual{DeploymentTarget}");
+                throw new RegressionTestException($"Algorithm deployment target is not local. Actual{DeploymentTarget}");
             }
 
             // For a live deployment these checks should pass:
-            //if (AlgorithmMode != AlgorithmMode.Live) throw new Exception("Algorithm mode is not live");
-            //if (!LiveMode) throw new Exception("Algorithm should be live");
+            //if (AlgorithmMode != AlgorithmMode.Live) throw new RegressionTestException("Algorithm mode is not live");
+            //if (!LiveMode) throw new RegressionTestException("Algorithm should be live");
 
             // For a cloud deployment these checks should pass:
-            //if (DeploymentTarget != DeploymentTarget.CloudPlatform) throw new Exception("Algorithm deployment target is not cloud");
+            //if (DeploymentTarget != DeploymentTarget.CloudPlatform) throw new RegressionTestException("Algorithm deployment target is not cloud");
 
             Quit();
         }
@@ -65,7 +65,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -77,17 +77,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "0"},
+            {"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"},
@@ -106,6 +113,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/AllShortableSymbolsCoarseSelectionRegressionAlgorithm.cs

@@ -100,27 +100,25 @@ namespace QuantConnect.Algorithm.CSharp
             SetBrokerageModel(new AllShortableSymbolsRegressionAlgorithmBrokerageModel());
         }
 
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (Time.Date == _lastTradeDate)
             {
                 return;
             }
 
-            foreach (var symbol in ActiveSecurities.Keys.OrderBy(symbol => symbol))
+            foreach (var (symbol, security) in ActiveSecurities.Where(kvp => !kvp.Value.Invested).OrderBy(kvp => kvp.Key))
             {
-                if (!Portfolio.ContainsKey(symbol) || !Portfolio[symbol].Invested)
+                var shortableQuantity = security.ShortableProvider.ShortableQuantity(symbol, Time);
+                if (shortableQuantity == null)
                 {
-                    if (!Shortable(symbol))
-                    {
-                        throw new Exception($"Expected {symbol} to be shortable on {Time:yyyy-MM-dd}");
-                    }
-
-                    // Buy at least once into all Symbols. Since daily data will always use
-                    // MOO orders, it makes the testing of liquidating buying into Symbols difficult.
-                    MarketOrder(symbol, -(decimal)ShortableQuantity(symbol));
-                    _lastTradeDate = Time.Date;
+                    throw new RegressionTestException($"Expected {symbol} to be shortable on {Time:yyyy-MM-dd}");
                 }
+
+                // Buy at least once into all Symbols. Since daily data will always use
+                // MOO orders, it makes the testing of liquidating buying into Symbols difficult.
+                MarketOrder(symbol, -(decimal)shortableQuantity);
+                _lastTradeDate = Time.Date;
             }
         }
 
@@ -139,11 +137,11 @@ namespace QuantConnect.Algorithm.CSharp
                 var gme = QuantConnect.Symbol.Create("GME", SecurityType.Equity, Market.USA);
                 if (!shortableSymbols.ContainsKey(gme))
                 {
-                    throw new Exception("Expected unmapped GME in shortable symbols list on 2014-03-27");
+                    throw new RegressionTestException("Expected unmapped GME in shortable symbols list on 2014-03-27");
                 }
                 if (!coarse.Select(x => x.Symbol.Value).Contains("GME"))
                 {
-                    throw new Exception("Expected mapped GME in coarse symbols on 2014-03-27");
+                    throw new RegressionTestException("Expected mapped GME in coarse symbols on 2014-03-27");
                 }
 
                 expectedMissing = 1;
@@ -152,7 +150,7 @@ namespace QuantConnect.Algorithm.CSharp
             var missing = _expectedSymbols[Time.Date].Except(selectedSymbols).ToList();
             if (missing.Count != expectedMissing)
             {
-                throw new Exception($"Expected Symbols selected on {Time.Date:yyyy-MM-dd} to match expected Symbols, but the following Symbols were missing: {string.Join(", ", missing.Select(s => s.ToString()))}");
+                throw new RegressionTestException($"Expected Symbols selected on {Time.Date:yyyy-MM-dd} to match expected Symbols, but the following Symbols were missing: {string.Join(", ", missing.Select(s => s.ToString()))}");
             }
 
             _coarseSelected[Time.Date] = true;
@@ -235,48 +233,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp};
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 37754;
+        public long DataPoints => 36573;
 
         /// <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 Trades", "5"},
+            {"Total Orders", "8"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "19.147%"},
-            {"Drawdown", "0%"},
+            {"Compounding Annual Return", "11.027%"},
+            {"Drawdown", "0.000%"},
             {"Expectancy", "0"},
-            {"Net Profit", "0.192%"},
-            {"Sharpe Ratio", "221.176"},
+            {"Start Equity", "10000000"},
+            {"End Equity", "10011469.88"},
+            {"Net Profit", "0.115%"},
+            {"Sharpe Ratio", "11.963"},
             {"Sortino Ratio", "0"},
             {"Probabilistic Sharpe Ratio", "0%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "0.156"},
-            {"Beta", "-0.007"},
-            {"Annual Standard Deviation", "0.001"},
+            {"Alpha", "0.07"},
+            {"Beta", "-0.077"},
+            {"Annual Standard Deviation", "0.008"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "4.804"},
-            {"Tracking Error", "0.098"},
-            {"Treynor Ratio", "-21.505"},
-            {"Total Fees", "$307.50"},
-            {"Estimated Strategy Capacity", "$2600000.00"},
-            {"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
-            {"Portfolio Turnover", "10.61%"},
-            {"OrderListHash", "9c129e856afe96579b52cbfe95237100"}
+            {"Information Ratio", "3.876"},
+            {"Tracking Error", "0.105"},
+            {"Treynor Ratio", "-1.215"},
+            {"Total Fees", "$282.50"},
+            {"Estimated Strategy Capacity", "$61000000000.00"},
+            {"Lowest Capacity Asset", "NB R735QTJ8XC9X"},
+            {"Portfolio Turnover", "3.62%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "0ea806c53bfa2bdca2504ba7155ef130"}
         };
     }
 }

Algorithm.CSharp/Alphas/RebalancingLeveragedETFAlpha.cs

@@ -80,7 +80,7 @@ namespace QuantConnect.Algorithm.CSharp.Alphas
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -92,12 +92,17 @@ namespace QuantConnect.Algorithm.CSharp.Alphas
         /// </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 Trades", "2465"},
+            {"Total Orders", "2465"},
             {"Average Win", "0.26%"},
             {"Average Loss", "-0.24%"},
             {"Compounding Annual Return", "7.848%"},

Algorithm.CSharp/AutoRegressiveIntegratedMovingAverageRegressionAlgorithm.cs

@@ -37,7 +37,7 @@ namespace QuantConnect.Algorithm.CSharp
             SetStartDate(2013, 1, 07);
             SetEndDate(2013, 12, 11);
 
-            EnableAutomaticIndicatorWarmUp = true;
+            Settings.AutomaticIndicatorWarmUp = true;
             AddEquity("SPY", Resolution.Daily);
             _arima = ARIMA("SPY", 1, 1, 1, 50);
             _ar = ARIMA("SPY", 1, 1, 0, 50);
@@ -71,7 +71,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -83,36 +83,44 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public int AlgorithmHistoryDataPoints => 100;
 
+        /// <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 Trades", "52"},
+            {"Total Orders", "53"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
-            {"Compounding Annual Return", "0.096%"},
+            {"Compounding Annual Return", "0.076%"},
             {"Drawdown", "0.100%"},
-            {"Expectancy", "3.321"},
-            {"Net Profit", "0.089%"},
-            {"Sharpe Ratio", "-8.214"},
-            {"Sortino Ratio", "-9.025"},
-            {"Probabilistic Sharpe Ratio", "40.893%"},
-            {"Loss Rate", "24%"},
-            {"Win Rate", "76%"},
-            {"Profit-Loss Ratio", "4.67"},
+            {"Expectancy", "2.933"},
+            {"Start Equity", "100000"},
+            {"End Equity", "100070.90"},
+            {"Net Profit", "0.071%"},
+            {"Sharpe Ratio", "-9.164"},
+            {"Sortino Ratio", "-9.852"},
+            {"Probabilistic Sharpe Ratio", "36.417%"},
+            {"Loss Rate", "27%"},
+            {"Win Rate", "73%"},
+            {"Profit-Loss Ratio", "4.41"},
             {"Alpha", "-0.008"},
             {"Beta", "0.008"},
             {"Annual Standard Deviation", "0.001"},
             {"Annual Variance", "0"},
             {"Information Ratio", "-1.961"},
             {"Tracking Error", "0.092"},
-            {"Treynor Ratio", "-0.826"},
-            {"Total Fees", "$52.00"},
-            {"Estimated Strategy Capacity", "$32000000000.00"},
+            {"Treynor Ratio", "-0.911"},
+            {"Total Fees", "$53.00"},
+            {"Estimated Strategy Capacity", "$16000000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "0.02%"},
-            {"OrderListHash", "e6711c76cb05bbb575ca067664348d88"}
+            {"Drawdown Recovery", "50"},
+            {"OrderListHash", "685c37df6e4c49b75792c133be189094"}
         };
     }
 }

Algorithm.CSharp/AutomaticIndicatorWarmupDataTypeRegressionAlgorithm.cs

@@ -33,12 +33,12 @@ namespace QuantConnect.Algorithm.CSharp
         public override void Initialize()
         {
             UniverseSettings.DataNormalizationMode = DataNormalizationMode.Raw;
-            EnableAutomaticIndicatorWarmUp = true;
+            Settings.AutomaticIndicatorWarmUp = true;
             SetStartDate(2013, 10, 08);
             SetEndDate(2013, 10, 10);
 
             var SP500 = QuantConnect.Symbol.Create(Futures.Indices.SP500EMini, SecurityType.Future, Market.CME);
-            _symbol = FutureChainProvider.GetFutureContractList(SP500, StartDate).First();
+            _symbol = FuturesChain(SP500).OrderBy(x => x.Symbol.ID.Date).First();
 
             // Test case: custom IndicatorBase<QuoteBar> indicator using Future unsubscribed symbol
             var indicator1 = new CustomIndicator();
@@ -82,7 +82,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (!sma11.Current.Equals(sma1.Current))
             {
-                throw new Exception("Expected SMAs warmed up before and after adding the Future to the algorithm to have the same current value. " +
+                throw new RegressionTestException("Expected SMAs warmed up before and after adding the Future to the algorithm to have the same current value. " +
                                     "The result of 'WarmUpIndicator' shouldn't change if the symbol is or isn't subscribed");
             }
 
@@ -94,7 +94,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (!smaSpy.Current.Equals(sma.Current))
             {
-                throw new Exception("Expected SMAs warmed up before and after adding the Equity to the algorithm to have the same current value. " +
+                throw new RegressionTestException("Expected SMAs warmed up before and after adding the Equity to the algorithm to have the same current value. " +
                                     "The result of 'WarmUpIndicator' shouldn't change if the symbol is or isn't subscribed");
             }
         }
@@ -103,7 +103,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (indicator.IsReady != isReady)
             {
-                throw new Exception($"Expected indicator state, expected {isReady} but was {indicator.IsReady}");
+                throw new RegressionTestException($"Expected indicator state, expected {isReady} but was {indicator.IsReady}");
             }
         }
 
@@ -111,7 +111,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -141,7 +141,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -151,19 +151,26 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 84;
+        public int AlgorithmHistoryDataPoints => 85;
+
+        /// <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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "733913.744%"},
             {"Drawdown", "15.900%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "106827.7"},
             {"Net Profit", "6.828%"},
             {"Sharpe Ratio", "203744786353.299"},
             {"Sortino Ratio", "0"},
@@ -182,7 +189,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$200000000.00"},
             {"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
             {"Portfolio Turnover", "351.80%"},
-            {"OrderListHash", "23cf084b30ec3d70b1b9f54c9b3b975f"}
+            {"Drawdown Recovery", "1"},
+            {"OrderListHash", "dfd9a280d3c6470b305c03e0b72c234e"}
         };
     }
 }

Algorithm.CSharp/AutomaticIndicatorWarmupOptionIndicatorsMirrorContractsRegressionAlgorithm.cs

@@ -0,0 +1,127 @@
+/*
+ * 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 QuantConnect.Indicators;
+using QuantConnect.Interfaces;
+using System.Collections.Generic;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// Regression algorithm asserting the behavior of the AutomaticIndicatorWarmUp on option greeks
+    /// </summary>
+    public class AutomaticIndicatorWarmupOptionIndicatorsMirrorContractsRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        public override void Initialize()
+        {
+            SetStartDate(2015, 12, 24);
+            SetEndDate(2015, 12, 24);
+
+            Settings.AutomaticIndicatorWarmUp = true;
+
+            var underlying = "GOOG";
+            var resolution = Resolution.Minute;
+
+            var expiration = new DateTime(2015, 12, 24);
+            var strike = 650m;
+
+            var equity = AddEquity(underlying, resolution).Symbol;
+            var option = QuantConnect.Symbol.CreateOption(underlying, Market.USA, OptionStyle.American, OptionRight.Put, strike, expiration);
+            AddOptionContract(option, resolution);
+            // add the call counter side of the mirrored pair
+            var mirrorOption = QuantConnect.Symbol.CreateOption(underlying, Market.USA, OptionStyle.American, OptionRight.Call, strike, expiration);
+            AddOptionContract(mirrorOption, resolution);
+
+            var impliedVolatility = IV(option, mirrorOption);
+            var delta = D(option, mirrorOption, optionModel: OptionPricingModelType.BinomialCoxRossRubinstein, ivModel: OptionPricingModelType.BlackScholes);
+            var gamma = G(option, mirrorOption, optionModel: OptionPricingModelType.ForwardTree, ivModel: OptionPricingModelType.BlackScholes);
+            var vega = V(option, mirrorOption, optionModel: OptionPricingModelType.ForwardTree, ivModel: OptionPricingModelType.BlackScholes);
+            var theta = T(option, mirrorOption, optionModel: OptionPricingModelType.ForwardTree, ivModel: OptionPricingModelType.BlackScholes);
+            var rho = R(option, mirrorOption, optionModel: OptionPricingModelType.ForwardTree, ivModel: OptionPricingModelType.BlackScholes);
+
+            if (impliedVolatility == 0m || delta == 0m || gamma == 0m || vega == 0m || theta == 0m || rho == 0m)
+            {
+                throw new RegressionTestException("Expected IV/greeks calculated");
+            }
+            if (!impliedVolatility.IsReady || !delta.IsReady || !gamma.IsReady || !vega.IsReady || !theta.IsReady || !rho.IsReady)
+            {
+                throw new RegressionTestException("Expected IV/greeks to be ready");
+            }
+
+            Quit($"Implied Volatility: {impliedVolatility}, Delta: {delta}, Gamma: {gamma}, Vega: {vega}, Theta: {theta}, Rho: {rho}");
+        }
+
+        /// <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 => 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 => 0;
+
+        /// <summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 18;
+
+        /// <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"}
+        };
+    }
+}

Algorithm.CSharp/AutomaticIndicatorWarmupRegressionAlgorithm.cs

@@ -34,14 +34,14 @@ namespace QuantConnect.Algorithm.CSharp
             SetStartDate(2013, 10, 07);
             SetEndDate(2013, 10, 11);
 
-            EnableAutomaticIndicatorWarmUp = true;
+            Settings.AutomaticIndicatorWarmUp = true;
 
             // Test case 1
             _spy = AddEquity("SPY").Symbol;
             var sma = SMA(_spy, 10);
             if (!sma.IsReady)
             {
-                throw new Exception("Expected SMA to be warmed up");
+                throw new RegressionTestException("Expected SMA to be warmed up");
             }
 
             // Test case 2
@@ -50,20 +50,20 @@ namespace QuantConnect.Algorithm.CSharp
 
             if (indicator.IsReady)
             {
-                throw new Exception("Expected CustomIndicator Not to be warmed up");
+                throw new RegressionTestException("Expected CustomIndicator Not to be warmed up");
             }
             WarmUpIndicator(_spy, indicator);
             if (!indicator.IsReady)
             {
-                throw new Exception("Expected CustomIndicator to be warmed up");
+                throw new RegressionTestException("Expected CustomIndicator to be warmed up");
             }
         }
 
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -72,7 +72,7 @@ namespace QuantConnect.Algorithm.CSharp
                 // we expect 1 consolidator per indicator
                 if (subscription.Consolidators.Count != 2)
                 {
-                    throw new Exception($"Unexpected consolidator count for subscription: {subscription.Consolidators.Count}");
+                    throw new RegressionTestException($"Unexpected consolidator count for subscription: {subscription.Consolidators.Count}");
                 }
                 SetHoldings(_spy, 1);
             }
@@ -88,7 +88,7 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 if (_previous != null && input.EndTime == _previous.EndTime)
                 {
-                    throw new Exception($"Unexpected indicator double data point call: {_previous}");
+                    throw new RegressionTestException($"Unexpected indicator double data point call: {_previous}");
                 }
                 _previous = input;
                 return base.ComputeNextValue(window, input);
@@ -103,7 +103,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -115,17 +115,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public int AlgorithmHistoryDataPoints => 40;
 
+        /// <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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "271.453%"},
             {"Drawdown", "2.200%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101691.92"},
             {"Net Profit", "1.692%"},
             {"Sharpe Ratio", "8.854"},
             {"Sortino Ratio", "0"},
@@ -144,7 +151,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$56000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "19.93%"},
-            {"OrderListHash", "0c0f9328786b0c9e8f88d271673d16c3"}
+            {"Drawdown Recovery", "3"},
+            {"OrderListHash", "3da9fa60bf95b9ed148b95e02e0cfc9e"}
         };
     }
 }

Algorithm.CSharp/AutomaticSeedBaseRegressionAlgorithm.cs

@@ -0,0 +1,137 @@
+/*
+ * 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"}
+        };
+    }
+}

Algorithm.CSharp/AuxiliaryDataHandlersRegressionAlgorithm.cs

@@ -0,0 +1,169 @@
+/*
+ * 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 QuantConnect.Interfaces;
+using QuantConnect.Data.Market;
+using System.Collections.Generic;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// Example algorithm using and asserting the behavior of auxiliary Data handlers
+    /// </summary>
+    public class AuxiliaryDataHandlersRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private bool _onSplits;
+        private bool _onDividends;
+        private bool _onDelistingsCalled;
+        private bool _onSymbolChangedEvents;
+
+        /// <summary>
+        /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
+        /// </summary>
+        public override void Initialize()
+        {
+            SetStartDate(2007, 05, 16);
+            SetEndDate(2015, 1, 1);
+
+            UniverseSettings.Resolution = Resolution.Daily;
+
+            // will get delisted
+            AddEquity("AAA.1");
+
+            // get's remapped
+            AddEquity("SPWR");
+
+            // has a split & dividends
+            AddEquity("AAPL");
+        }
+
+        public override void OnDelistings(Delistings delistings)
+        {
+            if (!delistings.ContainsKey("AAA.1"))
+            {
+                throw new RegressionTestException("Unexpected OnDelistings call");
+            }
+            _onDelistingsCalled = true;
+        }
+
+        public override void OnSymbolChangedEvents(SymbolChangedEvents symbolsChanged)
+        {
+            if (!symbolsChanged.ContainsKey("SPWR"))
+            {
+                throw new RegressionTestException("Unexpected OnSymbolChangedEvents call");
+            }
+            _onSymbolChangedEvents = true;
+        }
+
+        public override void OnSplits(Splits splits)
+        {
+            if (!splits.ContainsKey("AAPL"))
+            {
+                throw new RegressionTestException("Unexpected OnSplits call");
+            }
+            _onSplits = true;
+        }
+
+        public override void OnDividends(Dividends dividends)
+        {
+            if (!dividends.ContainsKey("AAPL"))
+            {
+                throw new RegressionTestException("Unexpected OnDividends call");
+            }
+            _onDividends = true;
+        }
+
+        public override void OnEndOfAlgorithm()
+        {
+            if (!_onDelistingsCalled)
+            {
+                throw new RegressionTestException("OnDelistings was not called!");
+            }
+            if (!_onSymbolChangedEvents)
+            {
+                throw new RegressionTestException("OnSymbolChangedEvents was not called!");
+            }
+            if (!_onSplits)
+            {
+                throw new RegressionTestException("OnSplits was not called!");
+            }
+            if (!_onDividends)
+            {
+                throw new RegressionTestException("OnDividends was not called!");
+            }
+        }
+
+        /// <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 => 126222;
+
+        /// <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", "-0.332"},
+            {"Tracking Error", "0.183"},
+            {"Treynor Ratio", "0"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$0"},
+            {"Lowest Capacity Asset", ""},
+            {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
+        };
+    }
+}

Algorithm.CSharp/BacktestingAsynchronousOrdersRegressionAlgorithm.cs

@@ -0,0 +1,156 @@
+/*
+ * 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"}
+        };
+    }
+}

Algorithm.CSharp/BacktestingBrokerageRegressionAlgorithm.cs

@@ -151,12 +151,12 @@ namespace QuantConnect.Algorithm.CSharp
                 case OrderStatus.PartiallyFilled:
                     if (order.LastFillTime == null)
                     {
-                        throw new Exception("LastFillTime should not be null");
+                        throw new RegressionTestException("LastFillTime should not be null");
                     }
 
                     if (order.Quantity / 2 != orderEvent.FillQuantity)
                     {
-                        throw new Exception("Order size should be half");
+                        throw new RegressionTestException("Order size should be half");
                     }
                     break;
 
@@ -164,7 +164,7 @@ namespace QuantConnect.Algorithm.CSharp
                 case OrderStatus.Filled:
                     if (order.SecurityType == SecurityType.Equity && order.CreatedTime == order.LastFillTime)
                     {
-                        throw new Exception("Order should not finish during the CreatedTime bar");
+                        throw new RegressionTestException("Order should not finish during the CreatedTime bar");
                     }
                     break;
 
@@ -182,12 +182,12 @@ namespace QuantConnect.Algorithm.CSharp
             // If the option price isn't the same as the strike price, its incorrect
             if (order.Price != _optionStrikePrice)
             {
-                throw new Exception("OptionExercise order price should be strike price!!");
+                throw new RegressionTestException("OptionExercise order price should be strike price!!");
             }
 
             if (orderEvent.Quantity != -1)
             {
-                throw new Exception("OrderEvent Quantity should be -1");
+                throw new RegressionTestException("OrderEvent Quantity should be -1");
             }
         }
 
@@ -198,14 +198,14 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (!Portfolio.ContainsKey(_optionBuy.Symbol) || !Portfolio.ContainsKey(_optionBuy.Symbol.Underlying) || !Portfolio.ContainsKey(_equityBuy.Symbol))
             {
-                throw new Exception("Portfolio does not contain the Symbols we purchased");
+                throw new RegressionTestException("Portfolio does not contain the Symbols we purchased");
             }
 
             //Check option holding, should not be invested since it expired, profit should be -400
             var optionHolding = Portfolio[_optionBuy.Symbol];
             if (optionHolding.Invested || optionHolding.Profit != -400)
             {
-                throw new Exception("Options holding does not match expected outcome");
+                throw new RegressionTestException("Options holding does not match expected outcome");
             }
 
             //Check the option underlying symbol since we should have bought it at exercise
@@ -213,7 +213,7 @@ namespace QuantConnect.Algorithm.CSharp
             var optionExerciseHolding = Portfolio[_optionBuy.Symbol.Underlying];
             if (!optionExerciseHolding.Invested || optionExerciseHolding.Quantity != 100 || optionExerciseHolding.AveragePrice != _optionBuy.Symbol.ID.StrikePrice)
             {
-                throw new Exception("Equity holding for exercised option does not match expected outcome");
+                throw new RegressionTestException("Equity holding for exercised option does not match expected outcome");
             }
 
             //Check equity holding, should be invested, profit should be
@@ -221,7 +221,7 @@ namespace QuantConnect.Algorithm.CSharp
             var equityHolding = Portfolio[_equityBuy.Symbol];
             if (!equityHolding.Invested || equityHolding.Quantity != 52 || equityHolding.AveragePrice != _equityBuy.AverageFillPrice)
             {
-                throw new Exception("Equity holding does not match expected outcome");
+                throw new RegressionTestException("Equity holding does not match expected outcome");
             }
         }
 
@@ -291,29 +291,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 1267414;
+        public long DataPoints => 27071;
 
         /// <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 Trades", "3"},
+            {"Total Orders", "3"},
             {"Average Win", "0%"},
             {"Average Loss", "-0.40%"},
-            {"Compounding Annual Return", "-22.717%"},
+            {"Compounding Annual Return", "-21.378%"},
             {"Drawdown", "0.400%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99671.06"},
             {"Net Profit", "-0.329%"},
             {"Sharpe Ratio", "-14.095"},
             {"Sortino Ratio", "0"},
@@ -332,7 +339,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
             {"Portfolio Turnover", "17.02%"},
-            {"OrderListHash", "a172538bd18fa82b11adaeac4f504b2e"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "1be5073f2cf8802ffa163f7dab7d040e"}
         };
     }
 }

Algorithm.CSharp/BaseFrameworkRegressionAlgorithm.cs

@@ -63,7 +63,7 @@ namespace QuantConnect.Algorithm.CSharp
             var insightsCount = Insights.GetInsights(insight => insight.IsActive(UtcTime)).Count;
             if (insightsCount != 0)
             {
-                throw new Exception($"The number of active insights should be 0. Actual: {insightsCount}");
+                throw new RegressionTestException($"The number of active insights should be 0. Actual: {insightsCount}");
             }
         }
 
@@ -75,7 +75,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -87,6 +87,11 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public virtual 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>

Algorithm.CSharp/BasicPythonIntegrationTemplateAlgorithm.cs

@@ -49,7 +49,7 @@ namespace QuantConnect.Algorithm.CSharp
 
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// Slice object keyed by symbol containing the stock data
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -63,4 +63,4 @@ namespace QuantConnect.Algorithm.CSharp
             }
         }
     }
-}
+}

Algorithm.CSharp/BasicSetAccountCurrencyAlgorithm.cs

@@ -50,7 +50,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -67,7 +67,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -77,19 +77,26 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 120;
+        public int AlgorithmHistoryDataPoints => 15;
+
+        /// <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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000.00"},
+            {"End Equity", "92395.59"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -108,7 +115,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "€85000.00"},
             {"Lowest Capacity Asset", "BTCEUR 2XR"},
             {"Portfolio Turnover", "107.64%"},
-            {"OrderListHash", "b0544d71cee600ef1f09c6000d6a3229"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "6819dc936b86af6e4b89b6017b7d5284"}
         };
     }
 }

Algorithm.CSharp/BasicSetAccountCurrencyWithAmountAlgorithm.cs

@@ -37,7 +37,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -47,19 +47,26 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 120;
+        public int AlgorithmHistoryDataPoints => 15;
+
+        /// <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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "200000.00"},
+            {"End Equity", "184791.19"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -78,7 +85,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "€85000.00"},
             {"Lowest Capacity Asset", "BTCEUR 2XR"},
             {"Portfolio Turnover", "107.64%"},
-            {"OrderListHash", "64c44a56824e67b86213539212d08e25"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "3d450fd418a0e845b3eaaac17fcd13fc"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateAlgorithm.cs

@@ -53,7 +53,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -70,7 +70,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -82,17 +82,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "271.453%"},
             {"Drawdown", "2.200%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101691.92"},
             {"Net Profit", "1.692%"},
             {"Sharpe Ratio", "8.854"},
             {"Sortino Ratio", "0"},
@@ -111,7 +118,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$56000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "19.93%"},
-            {"OrderListHash", "0c0f9328786b0c9e8f88d271673d16c3"}
+            {"Drawdown Recovery", "3"},
+            {"OrderListHash", "3da9fa60bf95b9ed148b95e02e0cfc9e"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateAxosAlgorithm.cs

@@ -44,8 +44,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -64,7 +64,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -76,17 +76,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "39.143%"},
             {"Drawdown", "0.500%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "100423.24"},
             {"Net Profit", "0.423%"},
             {"Sharpe Ratio", "5.498"},
             {"Sortino Ratio", "0"},
@@ -105,7 +112,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$150000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "4.98%"},
-            {"OrderListHash", "c198b0d9bf2b4c41d69c7ea4750f09b5"}
+            {"Drawdown Recovery", "3"},
+            {"OrderListHash", "8774049eb5141a2b6956d9432426f837"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateContinuousFutureAlgorithm.cs

@@ -18,7 +18,6 @@ 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;
@@ -59,14 +58,14 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            foreach (var changedEvent in data.SymbolChangedEvents.Values)
+            foreach (var changedEvent in slice.SymbolChangedEvents.Values)
             {
                 Debug($"{Time} - SymbolChanged event: {changedEvent}");
                 if (Time.TimeOfDay != TimeSpan.Zero)
                 {
-                    throw new Exception($"{Time} unexpected symbol changed event {changedEvent}!");
+                    throw new RegressionTestException($"{Time} unexpected symbol changed event {changedEvent}!");
                 }
             }
 
@@ -113,48 +112,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 713394;
+        public long DataPoints => 162575;
 
         /// <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 Trades", "5"},
-            {"Average Win", "2.90%"},
+            {"Total Orders", "5"},
+            {"Average Win", "2.48%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "13.087%"},
-            {"Drawdown", "1.100%"},
+            {"Compounding Annual Return", "11.325%"},
+            {"Drawdown", "1.500%"},
             {"Expectancy", "0"},
-            {"Net Profit", "6.387%"},
-            {"Sharpe Ratio", "1.532"},
-            {"Sortino Ratio", "871.704"},
-            {"Probabilistic Sharpe Ratio", "90.613%"},
+            {"Start Equity", "100000"},
+            {"End Equity", "105549.6"},
+            {"Net Profit", "5.550%"},
+            {"Sharpe Ratio", "1.332"},
+            {"Sortino Ratio", "879.904"},
+            {"Probabilistic Sharpe Ratio", "79.894%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "100%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "0.088"},
-            {"Beta", "-0.022"},
-            {"Annual Standard Deviation", "0.054"},
+            {"Alpha", "0.075"},
+            {"Beta", "-0.017"},
+            {"Annual Standard Deviation", "0.053"},
             {"Annual Variance", "0.003"},
-            {"Information Ratio", "-1.35"},
-            {"Tracking Error", "0.1"},
-            {"Treynor Ratio", "-3.781"},
+            {"Information Ratio", "-1.48"},
+            {"Tracking Error", "0.099"},
+            {"Treynor Ratio", "-4.187"},
             {"Total Fees", "$10.75"},
-            {"Estimated Strategy Capacity", "$1100000000.00"},
+            {"Estimated Strategy Capacity", "$7100000.00"},
             {"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
-            {"Portfolio Turnover", "2.32%"},
-            {"OrderListHash", "c42bb4b319557346b155cd2c06ade894"}
+            {"Portfolio Turnover", "2.33%"},
+            {"Drawdown Recovery", "37"},
+            {"OrderListHash", "223735440010fcec5889bb7becacfa82"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateContinuousFutureWithExtendedMarketAlgorithm.cs

@@ -59,15 +59,15 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
-            foreach (var changedEvent in data.SymbolChangedEvents.Values)
+            foreach (var changedEvent in slice.SymbolChangedEvents.Values)
             {
                 Debug($"{Time} - SymbolChanged event: {changedEvent}");
                 if (Time.TimeOfDay != TimeSpan.Zero)
                 {
-                    throw new Exception($"{Time} unexpected symbol changed event {changedEvent}!");
+                    throw new RegressionTestException($"{Time} unexpected symbol changed event {changedEvent}!");
                 }
             }
 
@@ -118,48 +118,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 2217324;
+        public long DataPoints => 504530;
 
         /// <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 Trades", "5"},
-            {"Average Win", "4.45%"},
-            {"Average Loss", "-0.26%"},
-            {"Compounding Annual Return", "8.423%"},
-            {"Drawdown", "0.800%"},
-            {"Expectancy", "8.202"},
-            {"Net Profit", "4.162%"},
-            {"Sharpe Ratio", "0.951"},
-            {"Sortino Ratio", "2.8"},
-            {"Probabilistic Sharpe Ratio", "53.568%"},
-            {"Loss Rate", "50%"},
-            {"Win Rate", "50%"},
-            {"Profit-Loss Ratio", "17.40"},
-            {"Alpha", "0.053"},
-            {"Beta", "-0.005"},
-            {"Annual Standard Deviation", "0.054"},
+            {"Total Orders", "5"},
+            {"Average Win", "2.86%"},
+            {"Average Loss", "0%"},
+            {"Compounding Annual Return", "12.959%"},
+            {"Drawdown", "1.100%"},
+            {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "106337.1"},
+            {"Net Profit", "6.337%"},
+            {"Sharpe Ratio", "1.41"},
+            {"Sortino Ratio", "1.242"},
+            {"Probabilistic Sharpe Ratio", "77.992%"},
+            {"Loss Rate", "0%"},
+            {"Win Rate", "100%"},
+            {"Profit-Loss Ratio", "0"},
+            {"Alpha", "0.071"},
+            {"Beta", "0.054"},
+            {"Annual Standard Deviation", "0.059"},
             {"Annual Variance", "0.003"},
-            {"Information Ratio", "-1.681"},
-            {"Tracking Error", "0.099"},
-            {"Treynor Ratio", "-10.255"},
+            {"Information Ratio", "-1.392"},
+            {"Tracking Error", "0.097"},
+            {"Treynor Ratio", "1.518"},
             {"Total Fees", "$10.75"},
-            {"Estimated Strategy Capacity", "$190000000.00"},
+            {"Estimated Strategy Capacity", "$890000000.00"},
             {"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
-            {"Portfolio Turnover", "2.34%"},
-            {"OrderListHash", "8a6ad6061fc3c311934a0801c26744eb"}
+            {"Portfolio Turnover", "2.32%"},
+            {"Drawdown Recovery", "34"},
+            {"OrderListHash", "1504a8892da8d8c0650018732f315753"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateCryptoAlgorithm.cs

@@ -79,8 +79,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (Portfolio.CashBook["EUR"].ConversionRate == 0
                 || Portfolio.CashBook["BTC"].ConversionRate == 0
@@ -92,7 +92,7 @@ namespace QuantConnect.Algorithm.CSharp
                 Log($"LTC conversion rate: {Portfolio.CashBook["LTC"].ConversionRate}");
                 Log($"ETH conversion rate: {Portfolio.CashBook["ETH"].ConversionRate}");
 
-                throw new Exception("Conversion rate is 0");
+                throw new RegressionTestException("Conversion rate is 0");
             }
             if (Time.Hour == 1 && Time.Minute == 0)
             {
@@ -167,11 +167,7 @@ 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);
                     }
                 }
             }
@@ -196,7 +192,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -206,19 +202,26 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 240;
+        public int AlgorithmHistoryDataPoints => 35;
+
+        /// <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 Trades", "10"},
+            {"Total Orders", "12"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "31592.84"},
+            {"End Equity", "30866.71"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -237,7 +240,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "BTCEUR 2XR"},
             {"Portfolio Turnover", "118.08%"},
-            {"OrderListHash", "77458586d24f1cd00623d63da8279be2"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "26b9a07ace86b6a0e0eb2ff8c168cee0"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateCryptoFutureAlgorithm.cs

@@ -79,9 +79,9 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            var interestRates = data.Get<MarginInterestRate>();
+            var interestRates = slice.Get<MarginInterestRate>();
             foreach (var interestRate in interestRates)
             {
                 _interestPerSymbol[interestRate.Key]++;
@@ -89,7 +89,7 @@ namespace QuantConnect.Algorithm.CSharp
                 var cachedInterestRate = Securities[interestRate.Key].Cache.GetData<MarginInterestRate>();
                 if (cachedInterestRate != interestRate.Value)
                 {
-                    throw new Exception($"Unexpected cached margin interest rate for {interestRate.Key}!");
+                    throw new RegressionTestException($"Unexpected cached margin interest rate for {interestRate.Key}!");
                 }
             }
 
@@ -100,7 +100,7 @@ namespace QuantConnect.Algorithm.CSharp
                     var ticket = Buy(_btcUsd.Symbol, 50);
                     if (ticket.Status != OrderStatus.Invalid)
                     {
-                        throw new Exception($"Unexpected valid order {ticket}, should fail due to margin not sufficient");
+                        throw new RegressionTestException($"Unexpected valid order {ticket}, should fail due to margin not sufficient");
                     }
 
                     Buy(_btcUsd.Symbol, 1);
@@ -113,17 +113,15 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(btcUsdHoldings.TotalSaleVolume - holdingsValueBtcUsd) > 1)
                     {
-                        throw new Exception($"Unexpected TotalSaleVolume {btcUsdHoldings.TotalSaleVolume}");
+                        throw new RegressionTestException($"Unexpected TotalSaleVolume {btcUsdHoldings.TotalSaleVolume}");
                     }
                     if (Math.Abs(btcUsdHoldings.AbsoluteHoldingsCost - holdingsValueBtcUsd) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
                     }
-                    // margin used is based on the maintenance rate
-                    if (Math.Abs(btcUsdHoldings.AbsoluteHoldingsCost * 0.05m - marginUsed) > 1
-                        || _btcUsd.BuyingPowerModel.GetMaintenanceMargin(_btcUsd) != marginUsed)
+                    if (_btcUsd.BuyingPowerModel.GetMaintenanceMargin(_btcUsd) != marginUsed)
                     {
-                        throw new Exception($"Unexpected margin used {marginUsed}");
+                        throw new RegressionTestException($"Unexpected margin used {marginUsed}");
                     }
 
                     Buy(_adaUsdt.Symbol, 1000);
@@ -136,28 +134,27 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(adaUsdtHoldings.TotalSaleVolume - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected TotalSaleVolume {adaUsdtHoldings.TotalSaleVolume}");
+                        throw new RegressionTestException($"Unexpected TotalSaleVolume {adaUsdtHoldings.TotalSaleVolume}");
                     }
                     if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
                     }
-                    if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost * 0.05m - marginUsed) > 1
-                        || _adaUsdt.BuyingPowerModel.GetMaintenanceMargin(_adaUsdt) != marginUsed)
+                    if (_adaUsdt.BuyingPowerModel.GetMaintenanceMargin(_adaUsdt) != marginUsed)
                     {
-                        throw new Exception($"Unexpected margin used {marginUsed}");
+                        throw new RegressionTestException($"Unexpected margin used {marginUsed}");
                     }
 
                     // position just opened should be just spread here
                     var profit = Portfolio.TotalUnrealizedProfit;
                     if ((5 - Math.Abs(profit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
+                        throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
                     }
 
                     if (Portfolio.TotalProfit != 0)
                     {
-                        throw new Exception($"Unexpected TotalProfit {Portfolio.TotalProfit}");
+                        throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
                     }
                 }
             }
@@ -172,7 +169,7 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(btcUsdHoldings.AbsoluteHoldingsCost - 100 * 2) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
                     }
 
                     Sell(_adaUsdt.Symbol, 3000);
@@ -184,19 +181,19 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
                     }
 
                     // position just opened should be just spread here
                     var profit = Portfolio.TotalUnrealizedProfit;
                     if ((5 - Math.Abs(profit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
+                        throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
                     }
                     // we barely did any difference on the previous trade
                     if ((5 - Math.Abs(Portfolio.TotalProfit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalProfit {Portfolio.TotalProfit}");
+                        throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
                     }
                 }
             }
@@ -206,12 +203,12 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (_interestPerSymbol[_adaUsdt.Symbol] != 1)
             {
-                throw new Exception($"Unexpected interest rate count {_interestPerSymbol[_adaUsdt.Symbol]}");
+                throw new RegressionTestException($"Unexpected interest rate count {_interestPerSymbol[_adaUsdt.Symbol]}");
             }
 
             if (_interestPerSymbol[_btcUsd.Symbol] != 3)
             {
-                throw new Exception($"Unexpected interest rate count {_interestPerSymbol[_btcUsd.Symbol]}");
+                throw new RegressionTestException($"Unexpected interest rate count {_interestPerSymbol[_btcUsd.Symbol]}");
             }
         }
 
@@ -228,7 +225,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -240,17 +237,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "4"},
+            {"Total Orders", "5"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "1000200.00"},
+            {"End Equity", "1000278.02"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -266,10 +270,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$0.65"},
-            {"Estimated Strategy Capacity", "$500000000.00"},
+            {"Estimated Strategy Capacity", "$620000000.00"},
             {"Lowest Capacity Asset", "ADAUSDT 18R"},
             {"Portfolio Turnover", "0.16%"},
-            {"OrderListHash", "ed329700a93491ffe30354769767c6aa"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "dcc4f964b5549c753123848c32eaee41"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateCryptoFutureHourlyAlgorithm.cs

@@ -74,9 +74,9 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            var interestRates = data.Get<MarginInterestRate>();
+            var interestRates = slice.Get<MarginInterestRate>();
             foreach (var interestRate in interestRates)
             {
                 _interestPerSymbol[interestRate.Key]++;
@@ -84,7 +84,7 @@ namespace QuantConnect.Algorithm.CSharp
                 var cachedInterestRate = Securities[interestRate.Key].Cache.GetData<MarginInterestRate>();
                 if (cachedInterestRate != interestRate.Value)
                 {
-                    throw new Exception($"Unexpected cached margin interest rate for {interestRate.Key}!");
+                    throw new RegressionTestException($"Unexpected cached margin interest rate for {interestRate.Key}!");
                 }
             }
 
@@ -93,9 +93,9 @@ namespace QuantConnect.Algorithm.CSharp
                 if (!Portfolio.Invested && Transactions.OrdersCount == 0)
                 {
                     var ticket = Buy(_adaUsdt.Symbol, 100000);
-                    if(ticket.Status != OrderStatus.Invalid)
+                    if (ticket.Status != OrderStatus.Invalid)
                     {
-                        throw new Exception($"Unexpected valid order {ticket}, should fail due to margin not sufficient");
+                        throw new RegressionTestException($"Unexpected valid order {ticket}, should fail due to margin not sufficient");
                     }
 
                     Buy(_adaUsdt.Symbol, 1000);
@@ -108,28 +108,27 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(adaUsdtHoldings.TotalSaleVolume - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected TotalSaleVolume {adaUsdtHoldings.TotalSaleVolume}");
+                        throw new RegressionTestException($"Unexpected TotalSaleVolume {adaUsdtHoldings.TotalSaleVolume}");
                     }
                     if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
                     }
-                    if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost * 0.05m - marginUsed) > 1
-                        || _adaUsdt.BuyingPowerModel.GetMaintenanceMargin(_adaUsdt) != marginUsed)
+                    if (_adaUsdt.BuyingPowerModel.GetMaintenanceMargin(_adaUsdt) != marginUsed)
                     {
-                        throw new Exception($"Unexpected margin used {marginUsed}");
+                        throw new RegressionTestException($"Unexpected margin used {marginUsed}");
                     }
 
                     // position just opened should be just spread here
                     var profit = Portfolio.TotalUnrealizedProfit;
                     if ((5 - Math.Abs(profit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
+                        throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
                     }
 
                     if (Portfolio.TotalProfit != 0)
                     {
-                        throw new Exception($"Unexpected TotalProfit {Portfolio.TotalProfit}");
+                        throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
                     }
                 }
             }
@@ -147,19 +146,19 @@ namespace QuantConnect.Algorithm.CSharp
 
                     if (Math.Abs(adaUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
                     {
-                        throw new Exception($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
+                        throw new RegressionTestException($"Unexpected holdings cost {adaUsdtHoldings.HoldingsCost}");
                     }
 
                     // position just opened should be just spread here
                     var profit = Portfolio.TotalUnrealizedProfit;
                     if ((5 - Math.Abs(profit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
+                        throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
                     }
                     // we barely did any difference on the previous trade
                     if ((5 - Math.Abs(Portfolio.TotalProfit)) < 0)
                     {
-                        throw new Exception($"Unexpected TotalProfit {Portfolio.TotalProfit}");
+                        throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
                     }
                 }
 
@@ -174,7 +173,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (_interestPerSymbol[_adaUsdt.Symbol] != 1)
             {
-                throw new Exception($"Unexpected interest rate count {_interestPerSymbol[_adaUsdt.Symbol]}");
+                throw new RegressionTestException($"Unexpected interest rate count {_interestPerSymbol[_adaUsdt.Symbol]}");
             }
         }
 
@@ -191,7 +190,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -203,17 +202,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "2"},
+            {"Total Orders", "3"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "1000200"},
+            {"End Equity", "1000189.47"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -229,10 +235,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$0.61"},
-            {"Estimated Strategy Capacity", "$370000000.00"},
+            {"Estimated Strategy Capacity", "$460000000.00"},
             {"Lowest Capacity Asset", "ADAUSDT 18R"},
             {"Portfolio Turnover", "0.12%"},
-            {"OrderListHash", "5b1290390c34b0e64ac0b9e834c27b07"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "50a51d06d03a5355248a6bccef1ca521"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateDailyAlgorithm.cs

@@ -43,8 +43,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -61,48 +61,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 73;
+        public long DataPoints => 72;
 
         /// <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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "246.546%"},
-            {"Drawdown", "1.200%"},
+            {"Compounding Annual Return", "424.375%"},
+            {"Drawdown", "0.800%"},
             {"Expectancy", "0"},
-            {"Net Profit", "3.464%"},
-            {"Sharpe Ratio", "19.094"},
-            {"Sortino Ratio", "0"},
-            {"Probabilistic Sharpe Ratio", "97.754%"},
+            {"Start Equity", "100000"},
+            {"End Equity", "104486.22"},
+            {"Net Profit", "4.486%"},
+            {"Sharpe Ratio", "17.304"},
+            {"Sortino Ratio", "35.217"},
+            {"Probabilistic Sharpe Ratio", "96.835%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "-0.005"},
-            {"Beta", "0.998"},
-            {"Annual Standard Deviation", "0.138"},
-            {"Annual Variance", "0.019"},
-            {"Information Ratio", "-34.028"},
-            {"Tracking Error", "0"},
-            {"Treynor Ratio", "2.644"},
-            {"Total Fees", "$3.45"},
-            {"Estimated Strategy Capacity", "$970000000.00"},
+            {"Alpha", "-0.249"},
+            {"Beta", "1.015"},
+            {"Annual Standard Deviation", "0.141"},
+            {"Annual Variance", "0.02"},
+            {"Information Ratio", "-19"},
+            {"Tracking Error", "0.011"},
+            {"Treynor Ratio", "2.403"},
+            {"Total Fees", "$3.49"},
+            {"Estimated Strategy Capacity", "$1200000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
-            {"Portfolio Turnover", "10.09%"},
-            {"OrderListHash", "418c8ec9920ec61bdefa2d02a8557048"}
+            {"Portfolio Turnover", "10.01%"},
+            {"Drawdown Recovery", "1"},
+            {"OrderListHash", "70f21e930175a2ec9d465b21edc1b6d9"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateEurexFuturesAlgorithm.cs

@@ -0,0 +1,240 @@
+/*
+ * 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 QuantConnect.Data;
+using QuantConnect.Data.UniverseSelection;
+using QuantConnect.Interfaces;
+using QuantConnect.Orders;
+using QuantConnect.Securities;
+using QuantConnect.Securities.Future;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// This algorithm tests and demonstrates EUREX futures subscription and trading:
+    /// - It tests contracts rollover by adding a continuous future and asserting that mapping happens at some point.
+    /// - It tests basic trading by buying a contract and holding it until expiration.
+    /// - It tests delisting and asserts the holdings are liquidated after that.
+    /// </summary>
+    public class BasicTemplateEurexFuturesAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Future _continuousContract;
+        private Symbol _mappedSymbol;
+        private Symbol _contractToTrade;
+        private int _mappingsCount;
+        private decimal _boughtQuantity;
+        private decimal _liquidatedQuantity;
+        private bool _delisted;
+
+        public override void Initialize()
+        {
+            SetStartDate(2024, 5, 30);
+            SetEndDate(2024, 6, 23);
+
+            SetAccountCurrency(Currencies.EUR);
+            SetCash(1000000);
+
+            _continuousContract = AddFuture(Futures.Indices.EuroStoxx50, Resolution.Minute,
+                dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
+                dataMappingMode: DataMappingMode.FirstDayMonth,
+                contractDepthOffset: 0);
+            _continuousContract.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(180));
+            _mappedSymbol = _continuousContract.Mapped;
+
+            var benchmark = AddIndex("SX5E");
+            SetBenchmark(benchmark.Symbol);
+
+            var seeder = new FuncSecuritySeeder(GetLastKnownPrices);
+            SetSecurityInitializer(security => seeder.SeedSecurity(security));
+        }
+
+        public override void OnData(Slice slice)
+        {
+            foreach (var changedEvent in slice.SymbolChangedEvents.Values)
+            {
+                if (++_mappingsCount > 1)
+                {
+                    throw new RegressionTestException($"{Time} - Unexpected number of symbol changed events (mappings): {_mappingsCount}. " +
+                        $"Expected only 1.");
+                }
+
+                Debug($"{Time} - SymbolChanged event: {changedEvent}");
+
+                if (changedEvent.OldSymbol != _mappedSymbol.ID.ToString())
+                {
+                    throw new RegressionTestException($"{Time} - Unexpected symbol changed event old symbol: {changedEvent}");
+                }
+
+                if (changedEvent.NewSymbol != _continuousContract.Mapped.ID.ToString())
+                {
+                    throw new RegressionTestException($"{Time} - Unexpected symbol changed event new symbol: {changedEvent}");
+                }
+
+                // Let's trade the previous mapped contract, so we can hold it until expiration for testing
+                // (will be sooner than the new mapped contract)
+                _contractToTrade = _mappedSymbol;
+                _mappedSymbol = _continuousContract.Mapped;
+            }
+
+            // Let's trade after the mapping is done
+            if (_contractToTrade != null && _boughtQuantity == 0 && Securities[_contractToTrade].Exchange.ExchangeOpen)
+            {
+                Buy(_contractToTrade, 1);
+            }
+
+            if (_contractToTrade != null && slice.Delistings.TryGetValue(_contractToTrade, out var delisting))
+            {
+                if (delisting.Type == DelistingType.Delisted)
+                {
+                    _delisted = true;
+
+                    if (Portfolio.Invested)
+                    {
+                        throw new RegressionTestException($"{Time} - Portfolio should not be invested after the traded contract is delisted.");
+                    }
+                }
+            }
+        }
+
+        public override void OnOrderEvent(OrderEvent orderEvent)
+        {
+            if (orderEvent.Symbol != _contractToTrade)
+            {
+                throw new RegressionTestException($"{Time} - Unexpected order event symbol: {orderEvent.Symbol}. Expected {_contractToTrade}");
+            }
+
+            if (orderEvent.Direction == OrderDirection.Buy)
+            {
+                if (orderEvent.Status == OrderStatus.Filled)
+                {
+                    if (_boughtQuantity != 0 && _liquidatedQuantity != 0)
+                    {
+                        throw new RegressionTestException($"{Time} - Unexpected buy order event status: {orderEvent.Status}");
+                    }
+                    _boughtQuantity = orderEvent.Quantity;
+                }
+            }
+            else if (orderEvent.Direction == OrderDirection.Sell)
+            {
+                if (orderEvent.Status == OrderStatus.Filled)
+                {
+                    if (_boughtQuantity <= 0 && _liquidatedQuantity != 0)
+                    {
+                        throw new RegressionTestException($"{Time} - Unexpected sell order event status: {orderEvent.Status}");
+                    }
+                    _liquidatedQuantity = orderEvent.Quantity;
+
+                    if (_liquidatedQuantity != -_boughtQuantity)
+                    {
+                        throw new RegressionTestException($"{Time} - Unexpected liquidated quantity: {_liquidatedQuantity}. Expected: {-_boughtQuantity}");
+                    }
+                }
+            }
+        }
+
+        public override void OnSecuritiesChanged(SecurityChanges changes)
+        {
+            foreach (var addedSecurity in changes.AddedSecurities)
+            {
+                if (addedSecurity.Symbol.SecurityType == SecurityType.Future && addedSecurity.Symbol.IsCanonical())
+                {
+                    _mappedSymbol = _continuousContract.Mapped;
+                }
+            }
+        }
+
+        public override void OnEndOfAlgorithm()
+        {
+            if (_mappingsCount == 0)
+            {
+                throw new RegressionTestException($"Unexpected number of symbol changed events (mappings): {_mappingsCount}. Expected 1.");
+            }
+
+            if (!_delisted)
+            {
+                throw new RegressionTestException("Contract was not delisted");
+            }
+
+            // Make sure we traded and that the position was liquidated on delisting
+            if (_boughtQuantity <= 0 || _liquidatedQuantity >= 0)
+            {
+                throw new RegressionTestException($"Unexpected sold quantity: {_boughtQuantity} and liquidated quantity: {_liquidatedQuantity}");
+            }
+        }
+
+        /// <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 => 94326;
+
+        /// <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", "2"},
+            {"Average Win", "0%"},
+            {"Average Loss", "-0.11%"},
+            {"Compounding Annual Return", "-1.667%"},
+            {"Drawdown", "0.100%"},
+            {"Expectancy", "-1"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "998849.48"},
+            {"Net Profit", "-0.115%"},
+            {"Sharpe Ratio", "-34.455"},
+            {"Sortino Ratio", "-57.336"},
+            {"Probabilistic Sharpe Ratio", "0.002%"},
+            {"Loss Rate", "100%"},
+            {"Win Rate", "0%"},
+            {"Profit-Loss Ratio", "0"},
+            {"Alpha", "0"},
+            {"Beta", "0"},
+            {"Annual Standard Deviation", "0.002"},
+            {"Annual Variance", "0"},
+            {"Information Ratio", "-6.176"},
+            {"Tracking Error", "0.002"},
+            {"Treynor Ratio", "0"},
+            {"Total Fees", "€1.02"},
+            {"Estimated Strategy Capacity", "€2300000000.00"},
+            {"Lowest Capacity Asset", "FESX YJHOAMPYKRS5"},
+            {"Portfolio Turnover", "0.40%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "ac9acc478ba1afe53993cdbb92f8ec6e"}
+        };
+    }
+}

Algorithm.CSharp/BasicTemplateFillForwardAlgorithm.cs

@@ -13,6 +13,7 @@
  * limitations under the License.
 */
 
+using QuantConnect.Data;
 using QuantConnect.Data.Market;
 
 namespace QuantConnect.Algorithm.CSharp
@@ -41,8 +42,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">TradeBars IDictionary object with your stock data</param>
-        public void OnData(TradeBars data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {

Algorithm.CSharp/BasicTemplateForexAlgorithm.cs

@@ -1,4 +1,4 @@
-/*
+/*
  * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
  * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
  *
@@ -59,14 +59,14 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
                 SetHoldings("EURUSD", .5);
                 SetHoldings("NZDUSD", .5);
-                Log(string.Join(", ", data.Values));
+                Log(string.Join(", ", slice.Values));
             }
         }
     }
-}
+}

Algorithm.CSharp/BasicTemplateFrameworkAlgorithm.cs

@@ -82,7 +82,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -94,17 +94,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "3"},
+            {"Total Orders", "3"},
             {"Average Win", "0%"},
             {"Average Loss", "-1.01%"},
             {"Compounding Annual Return", "261.134%"},
             {"Drawdown", "2.200%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101655.30"},
             {"Net Profit", "1.655%"},
             {"Sharpe Ratio", "8.472"},
             {"Sortino Ratio", "0"},
@@ -123,7 +130,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$27000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "59.86%"},
-            {"OrderListHash", "75c4c7221e2e70d0aa5c9844aae9009c"}
+            {"Drawdown Recovery", "3"},
+            {"OrderListHash", "f209ed42701b0419858e0100595b40c0"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFutureOptionAlgorithm.cs

@@ -92,4 +92,4 @@ namespace QuantConnect.Algorithm.CSharp
             Debug($"{Time} {orderEvent.ToString()}");
         }
     }
-}
+}

Algorithm.CSharp/BasicTemplateFutureRolloverAlgorithm.cs

@@ -98,10 +98,10 @@ namespace QuantConnect.Algorithm.CSharp
         {
             private QCAlgorithm _algorithm;
             private Future _future;
-            public ExponentialMovingAverage EMA;
-            public decimal Price;
-            public bool IsLong;
-            public bool IsShort;
+            public ExponentialMovingAverage EMA { get; set; }
+            public decimal Price { get; set; }
+            public bool IsLong { get; set; }
+            public bool IsShort { get; set; }
             public Symbol Symbol => _future.Symbol;
             public Symbol Mapped => _future.Mapped;
 
@@ -171,48 +171,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 1333;
+        public long DataPoints => 727;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 4;
+        public int AlgorithmHistoryDataPoints => 2;
+
+        /// <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 Trades", "2"},
-            {"Average Win", "0.53%"},
+            {"Total Orders", "1"},
+            {"Average Win", "0%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "3.011%"},
+            {"Compounding Annual Return", "-0.010%"},
             {"Drawdown", "0.000%"},
             {"Expectancy", "0"},
-            {"Net Profit", "0.528%"},
-            {"Sharpe Ratio", "1.285"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "999983.2"},
+            {"Net Profit", "-0.002%"},
+            {"Sharpe Ratio", "-225.214"},
             {"Sortino Ratio", "0"},
-            {"Probabilistic Sharpe Ratio", "83.704%"},
+            {"Probabilistic Sharpe Ratio", "0.135%"},
             {"Loss Rate", "0%"},
-            {"Win Rate", "100%"},
+            {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "0.015"},
-            {"Beta", "-0.004"},
-            {"Annual Standard Deviation", "0.011"},
+            {"Alpha", "-0.008"},
+            {"Beta", "0"},
+            {"Annual Standard Deviation", "0"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-4.774"},
-            {"Tracking Error", "0.084"},
-            {"Treynor Ratio", "-3.121"},
-            {"Total Fees", "$4.30"},
-            {"Estimated Strategy Capacity", "$5900000000.00"},
+            {"Information Ratio", "-5.146"},
+            {"Tracking Error", "0.083"},
+            {"Treynor Ratio", "-542.359"},
+            {"Total Fees", "$2.15"},
+            {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
-            {"Portfolio Turnover", "0.27%"},
-            {"OrderListHash", "9fb6d9433c29815301d818ccd7f3863f"}
+            {"Portfolio Turnover", "0.13%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "a6ccce3a1a7f549f887d83e84bfa878d"}
         };
-    }  
+    }
 }

Algorithm.CSharp/BasicTemplateFuturesAlgorithm.cs

@@ -39,11 +39,9 @@ namespace QuantConnect.Algorithm.CSharp
 
         // S&P 500 EMini futures
         private const string RootSP500 = Futures.Indices.SP500EMini;
-        public Symbol SP500 = QuantConnect.Symbol.Create(RootSP500, SecurityType.Future, Market.CME);
 
         // Gold futures
         private const string RootGold = Futures.Metals.Gold;
-        public Symbol Gold = QuantConnect.Symbol.Create(RootGold, SecurityType.Future, Market.COMEX);
 
         /// <summary>
         /// Initialize your algorithm and add desired assets.
@@ -81,7 +79,7 @@ namespace QuantConnect.Algorithm.CSharp
                 Debug($"{Time} - SymbolChanged event: {changedEvent}");
                 if (Time.TimeOfDay != TimeSpan.Zero)
                 {
-                    throw new Exception($"{Time} unexpected symbol changed event {changedEvent}!");
+                    throw new RegressionTestException($"{Time} unexpected symbol changed event {changedEvent}!");
                 }
             }
 
@@ -117,7 +115,7 @@ namespace QuantConnect.Algorithm.CSharp
             var futureMarginModel = buyingPowerModel as FutureMarginModel;
             if (buyingPowerModel == null)
             {
-                throw new Exception($"Invalid buying power model. Found: {buyingPowerModel.GetType().Name}. Expected: {nameof(FutureMarginModel)}");
+                throw new RegressionTestException($"Invalid buying power model. Found: {buyingPowerModel.GetType().Name}. Expected: {nameof(FutureMarginModel)}");
             }
             var initialOvernight = futureMarginModel.InitialOvernightMarginRequirement;
             var maintenanceOvernight = futureMarginModel.MaintenanceOvernightMarginRequirement;
@@ -133,7 +131,7 @@ namespace QuantConnect.Algorithm.CSharp
                     && !addedSecurity.Symbol.IsCanonical()
                     && !addedSecurity.HasData)
                 {
-                    throw new Exception($"Future contracts did not work up as expected: {addedSecurity.Symbol}");
+                    throw new RegressionTestException($"Future contracts did not work up as expected: {addedSecurity.Symbol}");
                 }
             }
         }
@@ -146,29 +144,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 75401;
+        public long DataPoints => 40308;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 340;
+        public int AlgorithmHistoryDataPoints => 354;
+
+        /// <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 Trades", "2700"},
+            {"Total Orders", "2700"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
-            {"Compounding Annual Return", "-99.777%"},
+            {"Compounding Annual Return", "-99.597%"},
             {"Drawdown", "4.400%"},
             {"Expectancy", "-0.724"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "955700.5"},
             {"Net Profit", "-4.430%"},
             {"Sharpe Ratio", "-31.63"},
             {"Sortino Ratio", "-31.63"},
@@ -187,7 +192,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$14000.00"},
             {"Lowest Capacity Asset", "GC VOFJUCDY9XNH"},
             {"Portfolio Turnover", "9912.69%"},
-            {"OrderListHash", "398c0383a9ba3235f15ac472a7fbcb8a"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "6e0f767a46a54365287801295cf7bb75"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesConsolidationAlgorithm.cs

@@ -1,4 +1,4 @@
-/*
+/*
  * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
  * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
  *
@@ -33,7 +33,6 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateFuturesConsolidationAlgorithm : QCAlgorithm
     {
         private const string RootSP500 = Futures.Indices.SP500EMini;
-        public Symbol SP500 = QuantConnect.Symbol.Create(RootSP500, SecurityType.Future, Market.CME);
         private HashSet<Symbol> _futureContracts = new HashSet<Symbol>();
 
         public override void Initialize()
@@ -78,4 +77,4 @@ namespace QuantConnect.Algorithm.CSharp
             Log(quoteBar.ToString());
         }
     }
-}
+}

Algorithm.CSharp/BasicTemplateFuturesDailyAlgorithm.cs

@@ -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;
 
@@ -83,7 +83,7 @@ namespace QuantConnect.Algorithm.CSharp
                     // if found, trade it.
                     // Also check if exchange is open for regular or extended hours. Since daily data comes at 8PM, this allows us prevent the
                     // algorithm from trading on friday when there is not after-market.
-                    if (contract != null && Securities[contract.Symbol].Exchange.Hours.IsOpen(Time, true))
+                    if (contract != null)
                     {
                         MarketOrder(contract.Symbol, 1);
                     }
@@ -99,11 +99,21 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 if (Time.TimeOfDay != TimeSpan.Zero)
                 {
-                    throw new Exception($"{Time} unexpected symbol changed event {changedEvent}!");
+                    throw new RegressionTestException($"{Time} unexpected symbol changed event {changedEvent}!");
                 }
             }
         }
 
+        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>
@@ -112,48 +122,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 14036;
+        public virtual long DataPoints => 5867;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "128"},
-            {"Average Win", "0.26%"},
-            {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-0.071%"},
-            {"Drawdown", "0.400%"},
-            {"Expectancy", "-0.116"},
-            {"Net Profit", "-0.071%"},
-            {"Sharpe Ratio", "-1.999"},
-            {"Sortino Ratio", "-1.806"},
-            {"Probabilistic Sharpe Ratio", "10.091%"},
-            {"Loss Rate", "97%"},
-            {"Win Rate", "3%"},
-            {"Profit-Loss Ratio", "27.29"},
-            {"Alpha", "-0.008"},
-            {"Beta", "0.001"},
+            {"Total Orders", "38"},
+            {"Average Win", "0.33%"},
+            {"Average Loss", "-0.03%"},
+            {"Compounding Annual Return", "0.098%"},
+            {"Drawdown", "0.300%"},
+            {"Expectancy", "0.165"},
+            {"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"},
+            {"Alpha", "-0.007"},
+            {"Beta", "0.002"},
             {"Annual Standard Deviation", "0.004"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-1.367"},
+            {"Information Ratio", "-1.354"},
             {"Tracking Error", "0.089"},
-            {"Treynor Ratio", "-5.445"},
-            {"Total Fees", "$285.44"},
-            {"Estimated Strategy Capacity", "$1000.00"},
+            {"Treynor Ratio", "-4.054"},
+            {"Total Fees", "$85.54"},
+            {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "ES VRJST036ZY0X"},
-            {"Portfolio Turnover", "3.41%"},
-            {"OrderListHash", "1666cd6c277c6ea8b1b46d5dfa6bac9f"}
+            {"Portfolio Turnover", "1.04%"},
+            {"Drawdown Recovery", "69"},
+            {"OrderListHash", "eafc33ea4dcb219f7aacdbdd0973d5bc"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesFrameworkAlgorithm.cs

@@ -131,29 +131,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 57752;
+        public virtual long DataPoints => 24883;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "-81.734%"},
             {"Drawdown", "4.100%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "97830.76"},
             {"Net Profit", "-2.169%"},
             {"Sharpe Ratio", "-10.299"},
             {"Sortino Ratio", "-10.299"},
@@ -172,7 +179,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$17000000.00"},
             {"Lowest Capacity Asset", "GC VL5E74HP3EE5"},
             {"Portfolio Turnover", "43.23%"},
-            {"OrderListHash", "1daca8b4534258de0f1bf09214205b77"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "c0fc1bcdc3008a8d263521bbc9d7cdbd"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesFrameworkWithExtendedMarketAlgorithm.cs

@@ -36,24 +36,26 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 163392;
+        public override long DataPoints => 70262;
 
         /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "-92.667%"},
             {"Drawdown", "5.000%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "96685.76"},
             {"Net Profit", "-3.314%"},
             {"Sharpe Ratio", "-6.359"},
             {"Sortino Ratio", "-11.237"},
@@ -72,7 +74,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$52000000.00"},
             {"Lowest Capacity Asset", "GC VL5E74HP3EE5"},
             {"Portfolio Turnover", "43.77%"},
-            {"OrderListHash", "ba6e16f476a2ddeeaab9c9091664f7a1"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "dcdaafcefa47465962ace2759ed99c91"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesHistoryAlgorithm.cs

@@ -69,7 +69,7 @@ namespace QuantConnect.Algorithm.CSharp
             var history = History(10, Resolution.Minute);
             if (history.Count() < 10)
             {
-                throw new Exception($"Empty history at {Time}");
+                throw new RegressionTestException($"Empty history at {Time}");
             }
             _successCount++;
         }
@@ -78,7 +78,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (_successCount < ExpectedHistoryCallCount)
             {
-                throw new Exception($"Scheduled Event did not assert history call as many times as expected: {_successCount}/49");
+                throw new RegressionTestException($"Scheduled Event did not assert history call as many times as expected: {_successCount}/49");
             }
         }
 
@@ -135,29 +135,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 48688;
+        public virtual long DataPoints => 25316;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public virtual int AlgorithmHistoryDataPoints => 5305;
+        public virtual int AlgorithmHistoryDataPoints => 6075;
+
+        /// <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 Trades", "0"},
+            {"Total Orders", "0"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1000000"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -176,6 +183,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/BasicTemplateFuturesHistoryWithExtendedMarketHoursAlgorithm.cs

@@ -42,29 +42,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 147769;
+        public override long DataPoints => 76063;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public override int AlgorithmHistoryDataPoints => 6112;
 
+        /// <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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "0"},
+            {"Total Orders", "0"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1000000"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -83,6 +90,7 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", ""},
             {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
             {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
         };
     }

Algorithm.CSharp/BasicTemplateFuturesHourlyAlgorithm.cs

@@ -14,12 +14,7 @@
  *
 */
 
-using System;
 using System.Collections.Generic;
-using System.Linq;
-using QuantConnect.Data;
-using QuantConnect.Interfaces;
-using QuantConnect.Securities;
 
 namespace QuantConnect.Algorithm.CSharp
 {
@@ -36,43 +31,46 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 87391;
+        public override long DataPoints => 25339;
 
         /// <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 Trades", "638"},
-            {"Average Win", "0.02%"},
+            {"Total Orders", "718"},
+            {"Average Win", "0.03%"},
             {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-1.610%"},
-            {"Drawdown", "1.600%"},
-            {"Expectancy", "-0.841"},
-            {"Net Profit", "-1.622%"},
-            {"Sharpe Ratio", "-8.787"},
-            {"Sortino Ratio", "-5.428"},
+            {"Compounding Annual Return", "-1.720%"},
+            {"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"},
             {"Probabilistic Sharpe Ratio", "0.000%"},
             {"Loss Rate", "96%"},
             {"Win Rate", "4%"},
-            {"Profit-Loss Ratio", "3.21"},
+            {"Profit-Loss Ratio", "4.90"},
             {"Alpha", "-0.018"},
-            {"Beta", "-0.003"},
+            {"Beta", "-0.002"},
             {"Annual Standard Deviation", "0.002"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-1.473"},
+            {"Information Ratio", "-1.484"},
             {"Tracking Error", "0.089"},
-            {"Treynor Ratio", "5.593"},
-            {"Total Fees", "$1456.18"},
-            {"Estimated Strategy Capacity", "$9000.00"},
+            {"Treynor Ratio", "9.171"},
+            {"Total Fees", "$1638.42"},
+            {"Estimated Strategy Capacity", "$8000.00"},
             {"Lowest Capacity Asset", "ES VP274HSU1AF5"},
-            {"Portfolio Turnover", "17.91%"},
-            {"OrderListHash", "19d70e24c5d0922d1557de4adbf60ab5"}
+            {"Portfolio Turnover", "20.14%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "c301a0a086f8905b1a555f0257087272"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesWithExtendedMarketAlgorithm.cs

@@ -39,11 +39,9 @@ namespace QuantConnect.Algorithm.CSharp
 
         // S&P 500 EMini futures
         private const string RootSP500 = Futures.Indices.SP500EMini;
-        public Symbol SP500 = QuantConnect.Symbol.Create(RootSP500, SecurityType.Future, Market.CME);
 
         // Gold futures
         private const string RootGold = Futures.Metals.Gold;
-        public Symbol Gold = QuantConnect.Symbol.Create(RootGold, SecurityType.Future, Market.COMEX);
 
         /// <summary>
         /// Initialize your algorithm and add desired assets.
@@ -81,7 +79,7 @@ namespace QuantConnect.Algorithm.CSharp
                 Debug($"{Time} - SymbolChanged event: {changedEvent}");
                 if (Time.TimeOfDay != TimeSpan.Zero)
                 {
-                    throw new Exception($"{Time} unexpected symbol changed event {changedEvent}!");
+                    throw new RegressionTestException($"{Time} unexpected symbol changed event {changedEvent}!");
                 }
             }
 
@@ -117,7 +115,7 @@ namespace QuantConnect.Algorithm.CSharp
             var futureMarginModel = buyingPowerModel as FutureMarginModel;
             if (buyingPowerModel == null)
             {
-                throw new Exception($"Invalid buying power model. Found: {buyingPowerModel.GetType().Name}. Expected: {nameof(FutureMarginModel)}");
+                throw new RegressionTestException($"Invalid buying power model. Found: {buyingPowerModel.GetType().Name}. Expected: {nameof(FutureMarginModel)}");
             }
             var initialOvernight = futureMarginModel.InitialOvernightMarginRequirement;
             var maintenanceOvernight = futureMarginModel.MaintenanceOvernightMarginRequirement;
@@ -133,7 +131,7 @@ namespace QuantConnect.Algorithm.CSharp
                     && !addedSecurity.Symbol.IsCanonical()
                     && !addedSecurity.HasData)
                 {
-                    throw new Exception($"Future contracts did not work up as expected: {addedSecurity.Symbol}");
+                    throw new RegressionTestException($"Future contracts did not work up as expected: {addedSecurity.Symbol}");
                 }
             }
         }
@@ -146,29 +144,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 224660;
+        public long DataPoints => 117079;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public int AlgorithmHistoryDataPoints => 340;
+        public int AlgorithmHistoryDataPoints => 354;
+
+        /// <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 Trades", "8282"},
+            {"Total Orders", "8282"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "-100.000%"},
             {"Drawdown", "13.900%"},
             {"Expectancy", "-0.824"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "861260.7"},
             {"Net Profit", "-13.874%"},
             {"Sharpe Ratio", "-19.346"},
             {"Sortino Ratio", "-19.346"},
@@ -187,7 +192,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$130000.00"},
             {"Lowest Capacity Asset", "GC VOFJUCDY9XNH"},
             {"Portfolio Turnover", "32523.20%"},
-            {"OrderListHash", "584fbdabd837921edc6a7e99759b9c66"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "0664a72652a19956ea3c4915269cc4b9"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesWithExtendedMarketDailyAlgorithm.cs

@@ -14,14 +14,7 @@
  *
 */
 
-using System;
 using System.Collections.Generic;
-using System.Linq;
-using QuantConnect.Data;
-using QuantConnect.Interfaces;
-using QuantConnect.Orders;
-using QuantConnect.Securities;
-using QuantConnect.Securities.Future;
 
 namespace QuantConnect.Algorithm.CSharp
 {
@@ -38,43 +31,46 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 16263;
+        public override long DataPoints => 5971;
 
         /// <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 Trades", "156"},
-            {"Average Win", "0.31%"},
-            {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-0.024%"},
-            {"Drawdown", "0.400%"},
-            {"Expectancy", "-0.035"},
-            {"Net Profit", "-0.025%"},
-            {"Sharpe Ratio", "-1.602"},
-            {"Sortino Ratio", "-1.913"},
-            {"Probabilistic Sharpe Ratio", "11.172%"},
-            {"Loss Rate", "97%"},
-            {"Win Rate", "3%"},
-            {"Profit-Loss Ratio", "36.65"},
+            {"Total Orders", "36"},
+            {"Average Win", "0.33%"},
+            {"Average Loss", "-0.03%"},
+            {"Compounding Annual Return", "0.103%"},
+            {"Drawdown", "0.300%"},
+            {"Expectancy", "0.172"},
+            {"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"},
             {"Alpha", "-0.007"},
-            {"Beta", "-0.001"},
-            {"Annual Standard Deviation", "0.005"},
+            {"Beta", "0.002"},
+            {"Annual Standard Deviation", "0.004"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-1.359"},
+            {"Information Ratio", "-1.353"},
             {"Tracking Error", "0.089"},
-            {"Treynor Ratio", "8.008"},
-            {"Total Fees", "$347.56"},
-            {"Estimated Strategy Capacity", "$1000.00"},
+            {"Treynor Ratio", "-4.042"},
+            {"Total Fees", "$81.24"},
+            {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "ES VRJST036ZY0X"},
-            {"Portfolio Turnover", "4.16%"},
-            {"OrderListHash", "ce63f5e611a7ab2f49d49c9fdc777ef5"}
+            {"Portfolio Turnover", "0.99%"},
+            {"Drawdown Recovery", "69"},
+            {"OrderListHash", "67120ad5c9a6116001dda6c8061e5353"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateFuturesWithExtendedMarketHourlyAlgorithm.cs

@@ -36,27 +36,29 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 228936;
+        public override long DataPoints => 67998;
 
         /// <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 Trades", "1990"},
+            {"Total Orders", "1992"},
             {"Average Win", "0.01%"},
             {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "-4.683%"},
+            {"Compounding Annual Return", "-4.687%"},
             {"Drawdown", "4.700%"},
             {"Expectancy", "-0.911"},
-            {"Net Profit", "-4.717%"},
-            {"Sharpe Ratio", "-7.178"},
-            {"Sortino Ratio", "-5.126"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "952789.22"},
+            {"Net Profit", "-4.721%"},
+            {"Sharpe Ratio", "-7.183"},
+            {"Sortino Ratio", "-5.14"},
             {"Probabilistic Sharpe Ratio", "0%"},
             {"Loss Rate", "97%"},
             {"Win Rate", "3%"},
@@ -67,12 +69,13 @@ namespace QuantConnect.Algorithm.CSharp
             {"Annual Variance", "0"},
             {"Information Ratio", "-1.702"},
             {"Tracking Error", "0.09"},
-            {"Treynor Ratio", "5.049"},
-            {"Total Fees", "$4538.98"},
+            {"Treynor Ratio", "5.054"},
+            {"Total Fees", "$4543.28"},
             {"Estimated Strategy Capacity", "$3000.00"},
             {"Lowest Capacity Asset", "ES VP274HSU1AF5"},
-            {"Portfolio Turnover", "56.68%"},
-            {"OrderListHash", "4ebc10fed9201f59aa7fcd90fbb49448"}
+            {"Portfolio Turnover", "56.73%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "6ce7812de5c98744cc35169a86a24325"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateHourlyAlgorithm.cs

@@ -52,8 +52,8 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
-        /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -70,7 +70,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -82,17 +82,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "227.693%"},
             {"Drawdown", "2.000%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101529.08"},
             {"Net Profit", "1.529%"},
             {"Sharpe Ratio", "8.855"},
             {"Sortino Ratio", "0"},
@@ -111,7 +118,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$110000000.00"},
             {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
             {"Portfolio Turnover", "19.96%"},
-            {"OrderListHash", "0f357e8eeee4108d6b53f2b671e97f29"}
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "60747dce5c2aed393b7dccc258d2c9b5"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndexAlgorithm.cs

@@ -30,8 +30,8 @@ namespace QuantConnect.Algorithm.CSharp
     /// <meta name="tag" content="indexes" />
     public class BasicTemplateIndexAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
-        protected Symbol Spx;
-        protected Symbol SpxOption;
+        protected Symbol Spx { get; set; }
+        protected Symbol SpxOption { get; set; }
         private ExponentialMovingAverage _emaSlow;
         private ExponentialMovingAverage _emaFast;
 
@@ -61,8 +61,10 @@ namespace QuantConnect.Algorithm.CSharp
 
             AddIndexOptionContract(SpxOption, Resolution);
 
-            _emaSlow = EMA(Spx, 80);
-            _emaFast = EMA(Spx, 200);
+            _emaSlow = EMA(Spx, Resolution > Resolution.Minute ? 6 : 80);
+            _emaFast = EMA(Spx, Resolution > Resolution.Minute ? 2 : 200);
+
+            Settings.DailyPreciseEndTime = true;
         }
 
         /// <summary>
@@ -91,12 +93,25 @@ namespace QuantConnect.Algorithm.CSharp
             }
         }
 
+        /// <summary>
+        /// Asserts indicators are ready
+        /// </summary>
+        /// <exception cref="RegressionTestException"></exception>
+        protected void AssertIndicators()
+        {
+            if (!_emaSlow.IsReady || !_emaFast.IsReady)
+            {
+                throw new RegressionTestException("Indicators are not ready!");
+            }
+        }
+
         public override void OnEndOfAlgorithm()
         {
             if (Portfolio[Spx].TotalSaleVolume > 0)
             {
-                throw new Exception("Index is not tradable.");
+                throw new RegressionTestException("Index is not tradable.");
             }
+            AssertIndicators();
         }
 
         /// <summary>
@@ -107,48 +122,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 16049;
+        public virtual long DataPoints => 16199;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "3"},
-            {"Average Win", "6.15%"},
+            {"Total Orders", "3"},
+            {"Average Win", "7.08%"},
             {"Average Loss", "0%"},
-            {"Compounding Annual Return", "435.569%"},
+            {"Compounding Annual Return", "603.355%"},
             {"Drawdown", "3.400%"},
             {"Expectancy", "0"},
-            {"Net Profit", "5.516%"},
-            {"Sharpe Ratio", "-6.336"},
-            {"Sortino Ratio", "-12.182"},
-            {"Probabilistic Sharpe Ratio", "0.011%"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1064395"},
+            {"Net Profit", "6.440%"},
+            {"Sharpe Ratio", "-4.563"},
+            {"Sortino Ratio", "0"},
+            {"Probabilistic Sharpe Ratio", "0.781%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "100%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "-0.226"},
-            {"Beta", "0.02"},
-            {"Annual Standard Deviation", "0.034"},
+            {"Alpha", "-0.169"},
+            {"Beta", "0.073"},
+            {"Annual Standard Deviation", "0.028"},
             {"Annual Variance", "0.001"},
-            {"Information Ratio", "-7.032"},
-            {"Tracking Error", "0.107"},
-            {"Treynor Ratio", "-10.906"},
+            {"Information Ratio", "-6.684"},
+            {"Tracking Error", "0.099"},
+            {"Treynor Ratio", "-1.771"},
             {"Total Fees", "$0.00"},
             {"Estimated Strategy Capacity", "$3000.00"},
-            {"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
-            {"Portfolio Turnover", "24.07%"},
-            {"OrderListHash", "d1987f604e6d61584838ccc94adf7256"}
+            {"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
+            {"Portfolio Turnover", "23.97%"},
+            {"Drawdown Recovery", "9"},
+            {"OrderListHash", "4b560d2a8cfae510c3c8dc92603470fc"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndexDailyAlgorithm.cs

@@ -15,8 +15,10 @@
 */
 
 using System;
+using System.Linq;
 using QuantConnect.Data;
 using System.Collections.Generic;
+using QuantConnect.Data.Market;
 
 namespace QuantConnect.Algorithm.CSharp
 {
@@ -30,7 +32,7 @@ namespace QuantConnect.Algorithm.CSharp
 
         // two complete weeks starting from the 5th. The 18th bar is not included since it is a holiday
         protected virtual int ExpectedBarCount => 2 * 5;
-        protected int BarCounter = 0;
+        protected int BarCounter { get; set; }
 
         /// <summary>
         /// Purchase a contract when we are not invested, liquidate otherwise
@@ -60,6 +62,35 @@ namespace QuantConnect.Algorithm.CSharp
             {
                 throw new ArgumentException($"Bar Count {BarCounter} is not expected count of {ExpectedBarCount}");
             }
+            AssertIndicators();
+
+            if (Resolution != Resolution.Daily)
+            {
+                return;
+            }
+
+            var openInterest = Securities[SpxOption].Cache.GetAll<OpenInterest>();
+            if (openInterest.Single().EndTime != new DateTime(2021, 1, 15, 15, 15, 0))
+            {
+                throw new ArgumentException($"Unexpected open interest time: {openInterest.Single().EndTime}");
+            }
+
+            foreach (var symbol in new[] { SpxOption, Spx })
+            {
+                var history = History(symbol, 10).ToList();
+                if (history.Count != 10)
+                {
+                    throw new RegressionTestException($"Unexpected history count: {history.Count}");
+                }
+                if (history.Any(x => x.Time.TimeOfDay != new TimeSpan(8, 30, 0)))
+                {
+                    throw new RegressionTestException($"Unexpected history data start time");
+                }
+                if (history.Any(x => x.EndTime.TimeOfDay != new TimeSpan(15, 15, 0)))
+                {
+                    throw new RegressionTestException($"Unexpected history data end time");
+                }
+            }
         }
 
         /// <summary>
@@ -70,24 +101,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp };
+        public override List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 0;
+        public override long DataPoints => 122;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
-        public override int AlgorithmHistoryDataPoints => 0;
+        public override int AlgorithmHistoryDataPoints => 30;
+
+        /// <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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
+            {"Total Orders", "11"},
+            {"Average Win", "0%"},
+            {"Average Loss", "0%"},
+            {"Compounding Annual Return", "653.545%"},
+            {"Drawdown", "0%"},
+            {"Expectancy", "0"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1084600"},
+            {"Net Profit", "8.460%"},
+            {"Sharpe Ratio", "9.923"},
+            {"Sortino Ratio", "0"},
+            {"Probabilistic Sharpe Ratio", "93.682%"},
+            {"Loss Rate", "0%"},
+            {"Win Rate", "0%"},
+            {"Profit-Loss Ratio", "0"},
+            {"Alpha", "3.61"},
+            {"Beta", "-0.513"},
+            {"Annual Standard Deviation", "0.359"},
+            {"Annual Variance", "0.129"},
+            {"Information Ratio", "8.836"},
+            {"Tracking Error", "0.392"},
+            {"Treynor Ratio", "-6.937"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$0"},
+            {"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
+            {"Portfolio Turnover", "2.42%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "ce421d0aeb7bde3bc92a6b87c09c510e"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndexHourlyAlgorithm.cs

@@ -8,7 +8,7 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateIndexHourlyAlgorithm : BasicTemplateIndexDailyAlgorithm
     {
         protected override Resolution Resolution => Resolution.Hour;
-        protected override int ExpectedBarCount => base.ExpectedBarCount * 7;
+        protected override int ExpectedBarCount => base.ExpectedBarCount * 8;
 
         /// <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.
@@ -18,29 +18,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp };
+        public override List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 391;
+        public override long DataPoints => 401;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public override 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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "71"},
+            {"Total Orders", "81"},
             {"Average Win", "1.28%"},
             {"Average Loss", "-0.06%"},
             {"Compounding Annual Return", "-20.546%"},
             {"Drawdown", "1.800%"},
             {"Expectancy", "-0.402"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "990775"},
             {"Net Profit", "-0.922%"},
             {"Sharpe Ratio", "-2.903"},
             {"Sortino Ratio", "-6.081"},
@@ -57,9 +64,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "-6.189"},
             {"Total Fees", "$0.00"},
             {"Estimated Strategy Capacity", "$300000.00"},
-            {"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
+            {"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
             {"Portfolio Turnover", "24.63%"},
-            {"OrderListHash", "380076bc7854977f46318e8add9f1a25"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "7bc05310e971f09b0663bc380fdfee80"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndexOptionsAlgorithm.cs

@@ -14,7 +14,6 @@
  *
 */
 
-using System;
 using QuantConnect.Data;
 using System.Collections.Generic;
 using QuantConnect.Indicators;
@@ -48,8 +47,10 @@ namespace QuantConnect.Algorithm.CSharp
             var spxOptions = AddIndexOption(_spx, Resolution);
             spxOptions.SetFilter(filterFunc => filterFunc.CallsOnly());
 
-            _emaSlow = EMA(_spx, 80);
-            _emaFast = EMA(_spx, 200);
+            _emaSlow = EMA(_spx, Resolution > Resolution.Minute ? 6 : 80);
+            _emaFast = EMA(_spx, Resolution > Resolution.Minute ? 2 : 200);
+
+            Settings.DailyPreciseEndTime = true;
         }
 
         /// <summary>
@@ -102,12 +103,13 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (Portfolio[_spx].TotalSaleVolume > 0)
             {
-                throw new Exception("Index is not tradable.");
+                throw new RegressionTestException("Index is not tradable.");
             }
             if (Portfolio.TotalSaleVolume == 0)
             {
-                throw new Exception("Trade volume should be greater than zero by the end of this algorithm");
+                throw new RegressionTestException("Trade volume should be greater than zero by the end of this algorithm");
             }
+            AssertIndicators();
         }
 
         public Symbol InvertOption(Symbol symbol)
@@ -121,6 +123,18 @@ namespace QuantConnect.Algorithm.CSharp
                 symbol.ID.Date);
         }
 
+        /// <summary>
+        /// Asserts indicators are ready
+        /// </summary>
+        /// <exception cref="RegressionTestException"></exception>
+        protected void AssertIndicators()
+        {
+            if (!_emaSlow.IsReady || !_emaFast.IsReady)
+            {
+                throw new RegressionTestException("Indicators are not ready!");
+            }
+        }
+
         /// <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>
@@ -129,7 +143,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -141,12 +155,17 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "8220"},
+            {"Total Orders", "8220"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "-100.000%"},

Algorithm.CSharp/BasicTemplateIndexOptionsDailyAlgorithm.cs

@@ -62,24 +62,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp };
+        public override List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 0;
+        public override long DataPoints => 360;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public override 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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
+            {"Total Orders", "11"},
+            {"Average Win", "0%"},
+            {"Average Loss", "-0.01%"},
+            {"Compounding Annual Return", "-0.092%"},
+            {"Drawdown", "0.000%"},
+            {"Expectancy", "-1"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "999920"},
+            {"Net Profit", "-0.008%"},
+            {"Sharpe Ratio", "-19.865"},
+            {"Sortino Ratio", "-175397.15"},
+            {"Probabilistic Sharpe Ratio", "0.013%"},
+            {"Loss Rate", "100%"},
+            {"Win Rate", "0%"},
+            {"Profit-Loss Ratio", "0"},
+            {"Alpha", "-0.003"},
+            {"Beta", "0"},
+            {"Annual Standard Deviation", "0"},
+            {"Annual Variance", "0"},
+            {"Information Ratio", "-0.454"},
+            {"Tracking Error", "0.138"},
+            {"Treynor Ratio", "-44.954"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$0"},
+            {"Lowest Capacity Asset", "SPX XL80P59H9OI6|SPX 31"},
+            {"Portfolio Turnover", "0.00%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "34d295b82e29b1dbe8f104d3300d9255"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndexOptionsHourlyAlgorithm.cs

@@ -33,29 +33,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public override Language[] Languages { get; } = { Language.CSharp };
+        public override List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public override long DataPoints => 2143;
+        public override long DataPoints => 1269;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public override 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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "72"},
+            {"Total Orders", "81"},
             {"Average Win", "0.00%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "-0.006%"},
             {"Drawdown", "0.000%"},
             {"Expectancy", "-0.486"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "999995"},
             {"Net Profit", "0.000%"},
             {"Sharpe Ratio", "-101.77"},
             {"Sortino Ratio", "-9053542.758"},
@@ -72,9 +79,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "116.921"},
             {"Total Fees", "$0.00"},
             {"Estimated Strategy Capacity", "$0"},
-            {"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
+            {"Lowest Capacity Asset", "SPX XL80P59H9OI6|SPX 31"},
             {"Portfolio Turnover", "0.00%"},
-            {"OrderListHash", "832944f7bfd8801bb37e5683a7510705"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "214026660a13ecaecc7074fa97f86ea1"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndiaAlgorithm.cs

@@ -56,7 +56,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
             if (!Portfolio.Invested)
             {
@@ -80,7 +80,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -92,17 +92,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 Trades", "1"},
+            {"Total Orders", "1"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "-0.010%"},
             {"Drawdown", "0.000%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99992.45"},
             {"Net Profit", "-0.008%"},
             {"Sharpe Ratio", "-497.389"},
             {"Sortino Ratio", "-73.22"},
@@ -121,7 +128,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "₹61000000000.00"},
             {"Lowest Capacity Asset", "YESBANK UL"},
             {"Portfolio Turnover", "0.00%"},
-            {"OrderListHash", "0cfbdeedf1ba2a02af1b6b35dfe8aac3"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "06f782c83dd633dac6f228b91273ba26"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIndiaIndexAlgorithm.cs

@@ -31,8 +31,8 @@ namespace QuantConnect.Algorithm.CSharp
     /// <meta name="tag" content="indexes" />
     public class BasicTemplateIndiaIndexAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
-        protected Symbol Nifty;
-        protected Symbol NiftyETF;
+        protected Symbol Nifty { get; set; }
+        protected Symbol NiftyETF { get; set; }
         private ExponentialMovingAverage _emaSlow;
         private ExponentialMovingAverage _emaFast;
 
@@ -92,7 +92,7 @@ namespace QuantConnect.Algorithm.CSharp
         {
             if (Portfolio[Nifty].TotalSaleVolume > 0)
             {
-                throw new Exception("Index is not tradable.");
+                throw new RegressionTestException("Index is not tradable.");
             }
         }
 
@@ -104,7 +104,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
@@ -116,17 +116,24 @@ namespace QuantConnect.Algorithm.CSharp
         /// </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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "6"},
+            {"Total Orders", "6"},
             {"Average Win", "0%"},
             {"Average Loss", "0.00%"},
             {"Compounding Annual Return", "-0.386%"},
             {"Drawdown", "0.000%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "999961.17"},
             {"Net Profit", "-0.004%"},
             {"Sharpe Ratio", "-328.371"},
             {"Sortino Ratio", "-328.371"},
@@ -145,7 +152,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "₹84000.00"},
             {"Lowest Capacity Asset", "JUNIORBEES UL"},
             {"Portfolio Turnover", "0.04%"},
-            {"OrderListHash", "5823d79e97915654a8f68ae5fa600b5a"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "8790bec8175539e6d92e01608ac57733"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateIntrinioEconomicData.cs

@@ -32,8 +32,8 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateIntrinioEconomicData : QCAlgorithm
     {
         // Set your Intrinio user and password.
-        public string _user = "";
-        public string _password = "";
+        private string _user = string.Empty;
+        private string _password = string.Empty;
 
         private Symbol _uso; // United States Oil Fund LP
         private Symbol _bno; // United States Brent Oil Fund LP
@@ -81,9 +81,9 @@ namespace QuantConnect.Algorithm.CSharp
         ///     OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
         /// </summary>
         /// <param name="data">Slice object keyed by symbol containing the stock data</param>
-        public override void OnData(Slice data)
+        public override void OnData(Slice slice)
         {
-            var customData = data.Get<IntrinioEconomicData>();
+            var customData = slice.Get<IntrinioEconomicData>();
             if (customData.Count == 0) return;
 
             foreach (var economicData in customData.Values)
@@ -116,7 +116,7 @@ namespace QuantConnect.Algorithm.CSharp
         /// </summary>
         public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "91"},
+            {"Total Orders", "91"},
             {"Average Win", "0.09%"},
             {"Average Loss", "-0.01%"},
             {"Compounding Annual Return", "5.732%"},

Algorithm.CSharp/BasicTemplateOptionEquityStrategyAlgorithm.cs

@@ -32,7 +32,7 @@ namespace QuantConnect.Algorithm.CSharp
     /// <meta name="tag" content="trading and orders" />
     public class BasicTemplateOptionEquityStrategyAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
-        protected Symbol _optionSymbol;
+        private Symbol _optionSymbol;
 
         public override void Initialize()
         {
@@ -44,7 +44,7 @@ namespace QuantConnect.Algorithm.CSharp
             _optionSymbol = option.Symbol;
 
             // set our strike/expiry filter for this option chain
-            option.SetFilter(u => u.Strikes(-2, +2)
+            option.SetFilter(u => u.StandardsOnly().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);
                 }
             }
@@ -97,29 +97,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 471135;
+        public long DataPoints => 15023;
 
         /// <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 Trades", "3"},
+            {"Total Orders", "3"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "98024"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -135,10 +142,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$26.00"},
-            {"Estimated Strategy Capacity", "$70000.00"},
-            {"Lowest Capacity Asset", "GOOCV W78ZERHAOVVQ|GOOCV VP83T1ZUHROL"},
+            {"Estimated Strategy Capacity", "$69000.00"},
+            {"Lowest Capacity Asset", "GOOCV W78ZERHAT67A|GOOCV VP83T1ZUHROL"},
             {"Portfolio Turnover", "61.31%"},
-            {"OrderListHash", "a36c60c5fb020121d6541683138d8f28"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "ccd6cb1b6244d0c6d30b2760938958f1"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionStrategyAlgorithm.cs

@@ -50,8 +50,9 @@ 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(-2, +2, 0, 180);
-            // option.SetFilter(-2, +2, TimeSpan.Zero, TimeSpan.FromDays(180));
+            option.SetFilter(u => u.StandardsOnly()
+                                   .Strikes(-2, +2)
+                                   .Expiration(0, 180));
 
             // Adding this to reproduce GH issue #2314
             SetWarmup(TimeSpan.FromMinutes(1));
@@ -83,7 +84,7 @@ 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}");
             }
@@ -107,29 +108,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp };
+        public List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 471124;
+        public long DataPoints => 15130;
 
         /// <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 Trades", "418"},
+            {"Total Orders", "420"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "952636.6"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -145,10 +153,11 @@ namespace QuantConnect.Algorithm.CSharp
             {"Tracking Error", "0"},
             {"Treynor Ratio", "0"},
             {"Total Fees", "$543.40"},
-            {"Estimated Strategy Capacity", "$3000.00"},
-            {"Lowest Capacity Asset", "GOOCV W78ZFMEBBB2E|GOOCV VP83T1ZUHROL"},
+            {"Estimated Strategy Capacity", "$4000.00"},
+            {"Lowest Capacity Asset", "GOOCV W78ZFMEBFLDY|GOOCV VP83T1ZUHROL"},
             {"Portfolio Turnover", "338.60%"},
-            {"OrderListHash", "c9eb598f33939941206efc018eb6ee45"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "8229716b93428dc885cf856b4cc9fc35"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionsAlgorithm.cs

@@ -35,7 +35,7 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateOptionsAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
         private const string UnderlyingTicker = "GOOG";
-        public Symbol OptionSymbol;
+        private Symbol _optionSymbol;
 
         public override void Initialize()
         {
@@ -45,14 +45,13 @@ namespace QuantConnect.Algorithm.CSharp
 
             var equity = AddEquity(UnderlyingTicker);
             var option = AddOption(UnderlyingTicker);
-            OptionSymbol = option.Symbol;
+            _optionSymbol = option.Symbol;
 
             // set our strike/expiry filter for this option chain
-            option.SetFilter(u => u.Strikes(-2, +2)
+            option.SetFilter(u => u.StandardsOnly().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);
@@ -64,10 +63,10 @@ namespace QuantConnect.Algorithm.CSharp
         /// <param name="slice">The current slice of data keyed by symbol string</param>
         public override void OnData(Slice slice)
         {
-            if (!Portfolio.Invested && IsMarketOpen(OptionSymbol))
+            if (!Portfolio.Invested && IsMarketOpen(_optionSymbol))
             {
                 OptionChain chain;
-                if (slice.OptionChains.TryGetValue(OptionSymbol, out chain))
+                if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
                 {
                     // we find at the money (ATM) put contract with farthest expiration
                     var atmContract = chain
@@ -104,29 +103,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 471124;
+        public long DataPoints => 15012;
 
         /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "0%"},
             {"Compounding Annual Return", "0%"},
             {"Drawdown", "0%"},
             {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99718"},
             {"Net Profit", "0%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -143,9 +149,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "0"},
             {"Total Fees", "$2.00"},
             {"Estimated Strategy Capacity", "$1300000.00"},
-            {"Lowest Capacity Asset", "GOOCV 30AKMEIPOSS1Y|GOOCV VP83T1ZUHROL"},
+            {"Lowest Capacity Asset", "GOOCV 30AKMEIPOX2DI|GOOCV VP83T1ZUHROL"},
             {"Portfolio Turnover", "10.71%"},
-            {"OrderListHash", "6b2f02d5cedb870e539a7bfb967c777f"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "19ba1220073493495880581b38df2da9"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionsConsolidationAlgorithm.cs

@@ -0,0 +1,152 @@
+/*
+ * 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 QuantConnect.Data;
+using QuantConnect.Data.Consolidators;
+using QuantConnect.Data.Market;
+using QuantConnect.Data.UniverseSelection;
+using QuantConnect.Interfaces;
+using System;
+using System.Collections.Generic;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// A demonstration of consolidating options data into larger bars for your algorithm.
+    /// </summary>
+    public class BasicTemplateOptionsConsolidationAlgorithm: QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Dictionary<Symbol, IDataConsolidator> _consolidators = new();
+
+        public override void Initialize()
+        {
+            SetStartDate(2013, 10, 7);
+            SetEndDate(2013, 10, 11);
+            SetCash(1000000);
+
+            var option = AddOption("SPY");
+            option.SetFilter(-2, 2, 0, 189);
+        }
+
+        public void OnQuoteBarConsolidated(object sender, QuoteBar quoteBar)
+        {
+            Log($"OnQuoteBarConsolidated called on {Time}");
+            Log(quoteBar.ToString());
+        }
+
+        public void OnTradeBarConsolidated(object sender, TradeBar tradeBar)
+        {
+            Log($"OnTradeBarConsolidated called on {Time}");
+            Log(tradeBar.ToString());
+        }
+
+        public override void OnSecuritiesChanged(SecurityChanges changes)
+        {
+            foreach(var security in changes.AddedSecurities)
+            {
+                IDataConsolidator consolidator;
+                if (security.Type == SecurityType.Equity)
+                {
+                    consolidator = new TradeBarConsolidator(TimeSpan.FromMinutes(5));
+                    (consolidator as TradeBarConsolidator).DataConsolidated += OnTradeBarConsolidated;
+                }
+                else
+                {
+                    consolidator = new QuoteBarConsolidator(new TimeSpan(0, 5, 0));
+                    (consolidator as QuoteBarConsolidator).DataConsolidated += OnQuoteBarConsolidated;
+                }
+
+                SubscriptionManager.AddConsolidator(security.Symbol, consolidator);
+                _consolidators[security.Symbol] = consolidator;
+            }
+
+            foreach(var security in changes.RemovedSecurities)
+            {
+                _consolidators.Remove(security.Symbol, out var consolidator);
+                SubscriptionManager.RemoveConsolidator(security.Symbol, consolidator);
+
+                if (security.Type == SecurityType.Equity)
+                {
+                    (consolidator as TradeBarConsolidator).DataConsolidated -= OnTradeBarConsolidated;
+                }
+                else
+                {
+                    (consolidator as QuoteBarConsolidator).DataConsolidated -= OnQuoteBarConsolidated;
+                }
+            }
+        }
+
+        /// <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 => 3943;
+
+        /// <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", "1000000"},
+            {"End Equity", "1000000"},
+            {"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", "-8.91"},
+            {"Tracking Error", "0.223"},
+            {"Treynor Ratio", "0"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$0"},
+            {"Lowest Capacity Asset", ""},
+            {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
+        };
+    }
+}

Algorithm.CSharp/BasicTemplateOptionsDailyAlgorithm.cs

@@ -34,21 +34,21 @@ namespace QuantConnect.Algorithm.CSharp
     /// <meta name="tag" content="filter selection" />
     public class BasicTemplateOptionsDailyAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
-        private const string UnderlyingTicker = "GOOG";
-        public Symbol OptionSymbol;
+        private const string UnderlyingTicker = "AAPL";
+        private Symbol _optionSymbol;
         private bool _optionExpired;
 
         public override void Initialize()
         {
-            SetStartDate(2015, 12, 23);
-            SetEndDate(2016, 1, 20);
+            SetStartDate(2015, 12, 15);
+            SetEndDate(2016, 2, 1);
             SetCash(100000);
 
             var equity = AddEquity(UnderlyingTicker, Resolution.Daily);
             var option = AddOption(UnderlyingTicker, Resolution.Daily);
-            OptionSymbol = option.Symbol;
+            _optionSymbol = option.Symbol;
 
-            option.SetFilter(x => x.CallsOnly().Strikes(0, 1).Expiration(0, 30));
+            option.SetFilter(x => x.CallsOnly().Expiration(0, 60));
 
             // use the underlying equity as the benchmark
             SetBenchmark(equity.Symbol);
@@ -63,7 +63,7 @@ namespace QuantConnect.Algorithm.CSharp
             if (!Portfolio.Invested)
             {
                 OptionChain chain;
-                if (slice.OptionChains.TryGetValue(OptionSymbol, out chain))
+                if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
                 {
                     // Grab us the contract nearest expiry that is not today
                     var contractsByExpiration = chain.Where(x => x.Expiry != Time.Date).OrderBy(x => x.Expiry);
@@ -117,48 +117,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 36834;
+        public long DataPoints => 308;
 
         /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
-            {"Average Loss", "-1.31%"},
-            {"Compounding Annual Return", "-15.304%"},
-            {"Drawdown", "1.300%"},
+            {"Average Loss", "-1.16%"},
+            {"Compounding Annual Return", "-8.351%"},
+            {"Drawdown", "1.200%"},
             {"Expectancy", "-1"},
-            {"Net Profit", "-1.311%"},
-            {"Sharpe Ratio", "-3.607"},
-            {"Sortino Ratio", "-1.188"},
-            {"Probabilistic Sharpe Ratio", "0.035%"},
+            {"Start Equity", "100000"},
+            {"End Equity", "98844"},
+            {"Net Profit", "-1.156%"},
+            {"Sharpe Ratio", "-4.04"},
+            {"Sortino Ratio", "-2.422"},
+            {"Probabilistic Sharpe Ratio", "0.099%"},
             {"Loss Rate", "100%"},
             {"Win Rate", "0%"},
             {"Profit-Loss Ratio", "0"},
-            {"Alpha", "0"},
-            {"Beta", "0"},
-            {"Annual Standard Deviation", "0.034"},
-            {"Annual Variance", "0.001"},
-            {"Information Ratio", "-3.31"},
-            {"Tracking Error", "0.034"},
-            {"Treynor Ratio", "0"},
+            {"Alpha", "-0.058"},
+            {"Beta", "0.021"},
+            {"Annual Standard Deviation", "0.017"},
+            {"Annual Variance", "0"},
+            {"Information Ratio", "1.49"},
+            {"Tracking Error", "0.289"},
+            {"Treynor Ratio", "-3.212"},
             {"Total Fees", "$1.00"},
-            {"Estimated Strategy Capacity", "$0"},
-            {"Lowest Capacity Asset", "GOOCV W78ZFMML01JA|GOOCV VP83T1ZUHROL"},
-            {"Portfolio Turnover", "0.05%"},
-            {"OrderListHash", "27226eb0860aa34fd513a8a66a732ad0"}
+            {"Estimated Strategy Capacity", "$72000.00"},
+            {"Lowest Capacity Asset", "AAPL W78ZEO29CFS6|AAPL R735QTJ8XC9X"},
+            {"Portfolio Turnover", "0.02%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "5639c19a7d56ec312f61029b943903b8"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionsFilterUniverseAlgorithm.cs

@@ -14,7 +14,6 @@
  *
 */
 
-using System;
 using System.Collections.Generic;
 using System.Linq;
 using QuantConnect.Data;
@@ -36,7 +35,7 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateOptionsFilterUniverseAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
         private const string UnderlyingTicker = "GOOG";
-        public Symbol OptionSymbol;
+        private Symbol _optionSymbol;
 
         public override void Initialize()
         {
@@ -46,7 +45,7 @@ namespace QuantConnect.Algorithm.CSharp
 
             var equity = AddEquity(UnderlyingTicker);
             var option = AddOption(UnderlyingTicker);
-            OptionSymbol = option.Symbol;
+            _optionSymbol = option.Symbol;
 
             // Set our custom universe filter, Expires today, is a call, and is within 10 dollars of the current price
             option.SetFilter(universe => from symbol in universe.WeeklysOnly().Expiration(0, 1)
@@ -64,7 +63,7 @@ namespace QuantConnect.Algorithm.CSharp
             if (!Portfolio.Invested)
             {
                 OptionChain chain;
-                if (slice.OptionChains.TryGetValue(OptionSymbol, out chain))
+                if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
                 {
                     // Get the first ITM call expiring today
                     var contract = (
@@ -95,29 +94,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 1252633;
+        public long DataPoints => 12290;
 
         /// <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 Trades", "2"},
+            {"Total Orders", "2"},
             {"Average Win", "0%"},
             {"Average Loss", "-0.40%"},
-            {"Compounding Annual Return", "-21.622%"},
+            {"Compounding Annual Return", "-20.338%"},
             {"Drawdown", "0.300%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99689"},
             {"Net Profit", "-0.311%"},
             {"Sharpe Ratio", "0"},
             {"Sortino Ratio", "0"},
@@ -136,7 +142,8 @@ namespace QuantConnect.Algorithm.CSharp
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
             {"Portfolio Turnover", "15.08%"},
-            {"OrderListHash", "f76ee0af976faeb84643e8fcd6c7b331"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "c53bc9318676161ed3b7797c945e2113"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionsFrameworkAlgorithm.cs

@@ -134,48 +134,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 993927;
+        public long DataPoints => 17487;
 
         /// <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 Trades", "4"},
-            {"Average Win", "0.14%"},
-            {"Average Loss", "-0.28%"},
-            {"Compounding Annual Return", "0%"},
-            {"Drawdown", "385.400%"},
-            {"Expectancy", "0.502"},
-            {"Net Profit", "-386.489%"},
-            {"Sharpe Ratio", "-0.033"},
+            {"Total Orders", "5"},
+            {"Average Win", "0.13%"},
+            {"Average Loss", "-0.30%"},
+            {"Compounding Annual Return", "-46.395%"},
+            {"Drawdown", "1.600%"},
+            {"Expectancy", "0.429"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99149.50"},
+            {"Net Profit", "-0.850%"},
+            {"Sharpe Ratio", "-4.298"},
             {"Sortino Ratio", "0"},
-            {"Probabilistic Sharpe Ratio", "1.235%"},
+            {"Probabilistic Sharpe Ratio", "15.319%"},
             {"Loss Rate", "0%"},
             {"Win Rate", "100%"},
-            {"Profit-Loss Ratio", "0.50"},
-            {"Alpha", "-94.012"},
-            {"Beta", "263.726"},
-            {"Annual Standard Deviation", "30.617"},
-            {"Annual Variance", "937.371"},
-            {"Information Ratio", "-0.044"},
-            {"Tracking Error", "30.604"},
-            {"Treynor Ratio", "-0.004"},
-            {"Total Fees", "$3.00"},
+            {"Profit-Loss Ratio", "0.43"},
+            {"Alpha", "-0.84"},
+            {"Beta", "0.986"},
+            {"Annual Standard Deviation", "0.098"},
+            {"Annual Variance", "0.01"},
+            {"Information Ratio", "-9.299"},
+            {"Tracking Error", "0.091"},
+            {"Treynor Ratio", "-0.428"},
+            {"Total Fees", "$4.00"},
             {"Estimated Strategy Capacity", "$0"},
             {"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
-            {"Portfolio Turnover", "13.46%"},
-            {"OrderListHash", "135d5cf7bc14eb9eb88260bbf6b3a671"}
+            {"Portfolio Turnover", "13.50%"},
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "2ab4ffc0944a2888a3be0568c2570a79"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateOptionsHourlyAlgorithm.cs

@@ -35,7 +35,7 @@ namespace QuantConnect.Algorithm.CSharp
     public class BasicTemplateOptionsHourlyAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
     {
         private const string UnderlyingTicker = "AAPL";
-        public Symbol OptionSymbol;
+        private Symbol _optionSymbol;
 
         public override void Initialize()
         {
@@ -45,10 +45,10 @@ namespace QuantConnect.Algorithm.CSharp
 
             var equity = AddEquity(UnderlyingTicker, Resolution.Hour);
             var option = AddOption(UnderlyingTicker, Resolution.Hour);
-            OptionSymbol = option.Symbol;
+            _optionSymbol = option.Symbol;
 
             // set our strike/expiry filter for this option chain
-            option.SetFilter(u => u.Strikes(-2, +2)
+            option.SetFilter(u => u.StandardsOnly().Strikes(-2, +2)
                                    // Expiration method accepts TimeSpan objects or integer for days.
                                    // The following statements yield the same filtering criteria
                                    .Expiration(0, 180));
@@ -64,10 +64,10 @@ namespace QuantConnect.Algorithm.CSharp
         /// <param name="slice">The current slice of data keyed by symbol string</param>
         public override void OnData(Slice slice)
         {
-            if (!Portfolio.Invested && IsMarketOpen(OptionSymbol))
+            if (!Portfolio.Invested && IsMarketOpen(_optionSymbol))
             {
                 OptionChain chain;
-                if (slice.OptionChains.TryGetValue(OptionSymbol, out chain))
+                if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
                 {
                     // we find at the money (ATM) put contract with farthest expiration
                     var atmContract = chain
@@ -104,29 +104,36 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public long DataPoints => 32351;
+        public long DataPoints => 9504;
 
         /// <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 Trades", "4"},
+            {"Total Orders", "5"},
             {"Average Win", "0%"},
             {"Average Loss", "-0.07%"},
-            {"Compounding Annual Return", "-12.496%"},
+            {"Compounding Annual Return", "-11.517%"},
             {"Drawdown", "0.200%"},
             {"Expectancy", "-1"},
+            {"Start Equity", "100000"},
+            {"End Equity", "99866"},
             {"Net Profit", "-0.134%"},
             {"Sharpe Ratio", "-9.78"},
             {"Sortino Ratio", "0"},
@@ -143,9 +150,10 @@ namespace QuantConnect.Algorithm.CSharp
             {"Treynor Ratio", "1.434"},
             {"Total Fees", "$4.00"},
             {"Estimated Strategy Capacity", "$1000.00"},
-            {"Lowest Capacity Asset", "AAPL 2ZTXYMUAHCIAU|AAPL R735QTJ8XC9X"},
+            {"Lowest Capacity Asset", "AAPL 2ZTXYMUAHGSME|AAPL R735QTJ8XC9X"},
             {"Portfolio Turnover", "2.28%"},
-            {"OrderListHash", "3f6cce0fcc7b988ba378a357ede1af93"}
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "70bbc60c969f18e943e8e00cf0f7a0ea"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateSPXWeeklyIndexOptionsAlgorithm.cs

@@ -43,14 +43,12 @@ namespace QuantConnect.Algorithm.CSharp
             SetEndDate(2021, 1, 10);
             SetCash(1000000);
 
-            var spx = AddIndex("SPX").Symbol;
-
             // regular option SPX contracts
-            var spxOptions = AddIndexOption(spx);
+            var spxOptions = AddIndexOption("SPX");
             spxOptions.SetFilter(u => u.Strikes(0, 1).Expiration(0, 30));
 
             // weekly option SPX contracts
-            var spxw = AddIndexOption(spx, "SPXW");
+            var spxw = AddIndexOption("SPX", "SPXW");
             spxw.SetFilter(u => u.Strikes(0, 1)
                  // single week ahead since there are many SPXW contracts and we want to preserve performance
                  .Expiration(0, 7)
@@ -100,48 +98,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 57794;
+        public virtual long DataPoints => 21467;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "5"},
-            {"Average Win", "0%"},
-            {"Average Loss", "-0.69%"},
-            {"Compounding Annual Return", "58.005%"},
+            {"Total Orders", "5"},
+            {"Average Win", "0.63%"},
+            {"Average Loss", "-0.03%"},
+            {"Compounding Annual Return", "54.478%"},
             {"Drawdown", "0.400%"},
-            {"Expectancy", "-0.5"},
-            {"Net Profit", "0.588%"},
-            {"Sharpe Ratio", "0.836"},
+            {"Expectancy", "23.219"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1006025"},
+            {"Net Profit", "0.602%"},
+            {"Sharpe Ratio", "2.62"},
             {"Sortino Ratio", "0"},
-            {"Probabilistic Sharpe Ratio", "51.980%"},
-            {"Loss Rate", "50%"},
-            {"Win Rate", "50%"},
-            {"Profit-Loss Ratio", "0"},
-            {"Alpha", "0.286"},
-            {"Beta", "-0.04"},
+            {"Probabilistic Sharpe Ratio", "63.221%"},
+            {"Loss Rate", "0%"},
+            {"Win Rate", "100%"},
+            {"Profit-Loss Ratio", "23.22"},
+            {"Alpha", "0.067"},
+            {"Beta", "-0.013"},
             {"Annual Standard Deviation", "0.004"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-98.963"},
-            {"Tracking Error", "0.072"},
-            {"Treynor Ratio", "-0.086"},
+            {"Information Ratio", "-50.808"},
+            {"Tracking Error", "0.086"},
+            {"Treynor Ratio", "-0.725"},
             {"Total Fees", "$0.00"},
             {"Estimated Strategy Capacity", "$580000.00"},
-            {"Lowest Capacity Asset", "SPXW 31K54PVWHUJHQ|SPX 31"},
-            {"Portfolio Turnover", "0.48%"},
-            {"OrderListHash", "07469a94a93198bbccadc8bc9cdfe87a"}
+            {"Lowest Capacity Asset", "SPXW 31K54PVWHYTTA|SPX 31"},
+            {"Portfolio Turnover", "0.40%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "03148bbb5453fc1056a3285bd31ce158"}
         };
     }
 }

Algorithm.CSharp/BasicTemplateSPXWeeklyIndexOptionsStrategyAlgorithm.cs

@@ -92,7 +92,7 @@ namespace QuantConnect.Algorithm.CSharp
             Debug(orderEvent.ToString());
             if (orderEvent.Symbol.ID.Symbol != "SPXW")
             {
-                throw new Exception("Unexpected order event symbol!");
+                throw new RegressionTestException("Unexpected order event symbol!");
             }
         }
 
@@ -104,48 +104,56 @@ namespace QuantConnect.Algorithm.CSharp
         /// <summary>
         /// This is used by the regression test system to indicate which languages this algorithm is written in.
         /// </summary>
-        public virtual Language[] Languages { get; } = { Language.CSharp };
+        public virtual List<Language> Languages { get; } = new() { Language.CSharp };
 
         /// <summary>
         /// Data Points count of all timeslices of algorithm
         /// </summary>
-        public virtual long DataPoints => 40893;
+        public virtual long DataPoints => 16680;
 
         /// <summary>
         /// Data Points count of the algorithm history
         /// </summary>
         public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
         {
-            {"Total Trades", "10"},
-            {"Average Win", "0.47%"},
+            {"Total Orders", "10"},
+            {"Average Win", "0.46%"},
             {"Average Loss", "-0.01%"},
-            {"Compounding Annual Return", "99.729%"},
+            {"Compounding Annual Return", "101.998%"},
             {"Drawdown", "0.100%"},
-            {"Expectancy", "24.484"},
-            {"Net Profit", "0.890%"},
-            {"Sharpe Ratio", "8.078"},
+            {"Expectancy", "24.137"},
+            {"Start Equity", "1000000"},
+            {"End Equity", "1009050"},
+            {"Net Profit", "0.905%"},
+            {"Sharpe Ratio", "8.44"},
             {"Sortino Ratio", "0"},
-            {"Probabilistic Sharpe Ratio", "93.697%"},
+            {"Probabilistic Sharpe Ratio", "95.546%"},
             {"Loss Rate", "50%"},
             {"Win Rate", "50%"},
-            {"Profit-Loss Ratio", "49.97"},
-            {"Alpha", "-1.975"},
-            {"Beta", "0.301"},
+            {"Profit-Loss Ratio", "49.27"},
+            {"Alpha", "-2.01"},
+            {"Beta", "0.307"},
             {"Annual Standard Deviation", "0.021"},
             {"Annual Variance", "0"},
-            {"Information Ratio", "-143.477"},
-            {"Tracking Error", "0.049"},
-            {"Treynor Ratio", "0.566"},
+            {"Information Ratio", "-144.654"},
+            {"Tracking Error", "0.048"},
+            {"Treynor Ratio", "0.589"},
             {"Total Fees", "$0.00"},
             {"Estimated Strategy Capacity", "$13000000.00"},
-            {"Lowest Capacity Asset", "SPXW XKX6S2GM9PGU|SPX 31"},
+            {"Lowest Capacity Asset", "SPXW XKX6S2GMDZSE|SPX 31"},
             {"Portfolio Turnover", "0.28%"},
-            {"OrderListHash", "69b28e4f5b33ff54f173c14ea1e00c50"}
+            {"Drawdown Recovery", "2"},
+            {"OrderListHash", "9d03f85003416861df07ccb31a18af9a"}
         };
     }
 }