StockSharp.Strategies.0217_Pairs_Trading.py 5.0.1

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dotnet add package StockSharp.Strategies.0217_Pairs_Trading.py --version 5.0.1
                    
NuGet\Install-Package StockSharp.Strategies.0217_Pairs_Trading.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.0217_Pairs_Trading.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.0217_Pairs_Trading.py" Version="5.0.1" />
                    
Directory.Packages.props
<PackageReference Include="StockSharp.Strategies.0217_Pairs_Trading.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.0217_Pairs_Trading.py --version 5.0.1
                    
#r "nuget: StockSharp.Strategies.0217_Pairs_Trading.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.0217_Pairs_Trading.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.0217_Pairs_Trading.py&version=5.0.1
                    
Install as a Cake Addin
#tool nuget:?package=StockSharp.Strategies.0217_Pairs_Trading.py&version=5.0.1
                    
Install as a Cake Tool

Pairs Trading Strategy (Python Version)

This pairs trading strategy monitors the price spread between two correlated instruments. By comparing the spread to its historical mean and standard deviation, the system attempts to exploit temporary divergences that eventually revert.

Testing indicates an average annual return of about 88%. It performs best in the stocks market.

A long spread is entered when the spread drops below its mean by more than the specified deviation multiplier. This means buying the first asset and selling the second. A short spread does the opposite when the spread rises above the mean by the same amount. Positions are closed once the spread returns to the average level.

Pairs trading appeals to market neutral traders who prefer relative-value opportunities rather than outright direction. Because both legs are hedged, volatility tends to be lower, though the strategy still uses a stop-loss on the spread to manage risk.

Details

  • Entry Criteria:
    • Long: Spread < Mean - Multiplier * StdDev
    • Short: Spread > Mean + Multiplier * StdDev
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when spread reverts to the mean
    • Short: Exit when spread reverts to the mean
  • Stops: Yes, percentage stop based on spread value.
  • Default Values:
    • LookbackPeriod = 20
    • DeviationMultiplier = 2.0m
    • StopLossPercent = 2m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Arbitrage
    • Direction: Both
    • Indicators: Spread statistics
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: Yes
    • Risk Level: Medium
There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

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Version Downloads Last Updated
5.0.1 233 8/7/2025
5.0.0 346 7/20/2025

Refactor strategy reset handling