StockSharp.Strategies.0216_Mean_Reversion.py 5.0.1

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dotnet add package StockSharp.Strategies.0216_Mean_Reversion.py --version 5.0.1
                    
NuGet\Install-Package StockSharp.Strategies.0216_Mean_Reversion.py -Version 5.0.1
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="StockSharp.Strategies.0216_Mean_Reversion.py" Version="5.0.1" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="StockSharp.Strategies.0216_Mean_Reversion.py" Version="5.0.1" />
                    
Directory.Packages.props
<PackageReference Include="StockSharp.Strategies.0216_Mean_Reversion.py" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add StockSharp.Strategies.0216_Mean_Reversion.py --version 5.0.1
                    
#r "nuget: StockSharp.Strategies.0216_Mean_Reversion.py, 5.0.1"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package StockSharp.Strategies.0216_Mean_Reversion.py@5.0.1
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=StockSharp.Strategies.0216_Mean_Reversion.py&version=5.0.1
                    
Install as a Cake Addin
#tool nuget:?package=StockSharp.Strategies.0216_Mean_Reversion.py&version=5.0.1
                    
Install as a Cake Tool

Mean Reversion Strategy (Python Version)

This statistical approach looks for short-term extremes in price relative to its recent average. The strategy uses a moving average to define fair value and measures the deviation from that mean through a standard deviation calculation.

Testing indicates an average annual return of about 85%. It performs best in the crypto market.

Trades are opened when price pushes a set distance from the average. A dip below the lower band triggers a long entry, anticipating a rebound toward the mean, while a rally above the upper band prompts a short. Once price touches the moving average again, any open position is closed.

The method appeals to traders who prefer a contrarian style and want clearly defined entry and exit zones. Because it relies on volatility-based bands, it adapts to quieter or more active markets while still keeping losses in check via a fixed stop-loss.

Details

  • Entry Criteria:
    • Long: Price < MA - k*StdDev (below lower band)
    • Short: Price > MA + k*StdDev (above upper band)
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when price crosses above the moving average
    • Short: Exit when price crosses below the moving average
  • Stops: Yes.
  • Default Values:
    • MovingAveragePeriod = 20
    • DeviationMultiplier = 2.0m
    • StopLossPercent = 2m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mean Reversion
    • Direction: Both
    • Indicators: Mean Reversion
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk Level: Medium
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Learn more about Target Frameworks and .NET Standard.

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Version Downloads Last Updated
5.0.1 167 8/7/2025
5.0.0 276 7/20/2025

Refactor strategy reset handling