StockSharp.Strategies.0216_Mean_Reversion.py
5.0.1
Prefix Reserved
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
<PackageReference Include="StockSharp.Strategies.0216_Mean_Reversion.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0216_Mean_Reversion.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0216_Mean_Reversion.py" />
paket add StockSharp.Strategies.0216_Mean_Reversion.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0216_Mean_Reversion.py, 5.0.1"
#:package StockSharp.Strategies.0216_Mean_Reversion.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0216_Mean_Reversion.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0216_Mean_Reversion.py&version=5.0.1
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
= 20DeviationMultiplier
= 2.0mStopLossPercent
= 2mCandleType
= 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
Learn more about Target Frameworks and .NET Standard.
This package has no dependencies.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Refactor strategy reset handling