StockSharp.Strategies.0218_ZScore_Reversal.py
5.0.0
Prefix Reserved
dotnet add package StockSharp.Strategies.0218_ZScore_Reversal.py --version 5.0.0
NuGet\Install-Package StockSharp.Strategies.0218_ZScore_Reversal.py -Version 5.0.0
<PackageReference Include="StockSharp.Strategies.0218_ZScore_Reversal.py" Version="5.0.0" />
<PackageVersion Include="StockSharp.Strategies.0218_ZScore_Reversal.py" Version="5.0.0" />
<PackageReference Include="StockSharp.Strategies.0218_ZScore_Reversal.py" />
paket add StockSharp.Strategies.0218_ZScore_Reversal.py --version 5.0.0
#r "nuget: StockSharp.Strategies.0218_ZScore_Reversal.py, 5.0.0"
#:package StockSharp.Strategies.0218_ZScore_Reversal.py@5.0.0
#addin nuget:?package=StockSharp.Strategies.0218_ZScore_Reversal.py&version=5.0.0
#tool nuget:?package=StockSharp.Strategies.0218_ZScore_Reversal.py&version=5.0.0
ZScore Reversal Strategy (Python Version)
The ZScore Reversal strategy measures how far price deviates from a moving average in terms of standard deviations. The resulting Z-Score highlights statistically stretched conditions that may snap back toward the mean.
A trade is opened long when the Z-Score falls below a negative threshold, signalling an oversold market. A short trade is taken when the Z-Score rises above the positive threshold. The position is closed once the Z-Score crosses back through zero, indicating price has normalized.
This technique is attractive for mean reversion traders who prefer objective entry levels. The stop-loss percentage keeps adverse moves manageable while waiting for the reversion.
Details
- Entry Criteria:
- Long: Z-Score < -Threshold
- Short: Z-Score > Threshold
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit when Z-Score crosses above 0
- Short: Exit when Z-Score crosses below 0
- Stops: Yes, percent stop-loss.
- Default Values:
LookbackPeriod
= 20ZScoreThreshold
= 2.0mStopLossPercent
= 2mCandleType
= TimeSpan.FromMinutes(10)
- Filters:
- Category: Mean Reversion
- Direction: Both
- Indicators: Z-Score
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
Learn more about Target Frameworks and .NET Standard.
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Version | Downloads | Last Updated |
---|---|---|
5.0.0 | 274 | 7/20/2025 |