StockSharp.Strategies.0028_ZScore.py 5.0.0

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dotnet add package StockSharp.Strategies.0028_ZScore.py --version 5.0.0
                    
NuGet\Install-Package StockSharp.Strategies.0028_ZScore.py -Version 5.0.0
                    
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.0028_ZScore.py" Version="5.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="StockSharp.Strategies.0028_ZScore.py" Version="5.0.0" />
                    
Directory.Packages.props
<PackageReference Include="StockSharp.Strategies.0028_ZScore.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.0028_ZScore.py --version 5.0.0
                    
#r "nuget: StockSharp.Strategies.0028_ZScore.py, 5.0.0"
                    
#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.0028_ZScore.py@5.0.0
                    
#: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.0028_ZScore.py&version=5.0.0
                    
Install as a Cake Addin
#tool nuget:?package=StockSharp.Strategies.0028_ZScore.py&version=5.0.0
                    
Install as a Cake Tool

ZScore (Python Version)

Strategy based on Z-Score indicator for mean reversion trading

ZScore measures price deviation from a moving average. Extreme high or low z-scores suggest overextension and prompt trades in the opposite direction. The trade ends when the z-score normalizes.

Z-Score is a flexible filter because it can be scaled to any time series. Using a volatility-adjusted exit helps the system adapt to changing market conditions.

Details

  • Entry Criteria: Signals based on MA, ZScore.
  • Long/Short: Both directions.
  • Exit Criteria: Opposite signal or stop.
  • Stops: Yes.
  • Default Values:
    • ZScoreEntryThreshold = 2.0m
    • ZScoreExitThreshold = 0.0m
    • MAPeriod = 20
    • StdDevPeriod = 20
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mean Reversion
    • Direction: Both
    • Indicators: MA, ZScore
    • Stops: Yes
    • Complexity: Basic
    • Timeframe: Intraday (5m)
    • Seasonality: No
    • Neural Networks: No
    • Divergence: No
    • Risk Level: Medium
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Version Downloads Last Updated
5.0.0 19 7/19/2025