StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.py 5.0.0

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dotnet add package StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.py --version 5.0.0
                    
NuGet\Install-Package StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.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.0062_Stochastic_Overbought_Oversold.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.0062_Stochastic_Overbought_Oversold.py" Version="5.0.0" />
                    
Directory.Packages.props
<PackageReference Include="StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.py" />
                    
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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.0062_Stochastic_Overbought_Oversold.py --version 5.0.0
                    
#r "nuget: StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.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.0062_Stochastic_Overbought_Oversold.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.0062_Stochastic_Overbought_Oversold.py&version=5.0.0
                    
Install as a Cake Addin
#tool nuget:?package=StockSharp.Strategies.0062_Stochastic_Overbought_Oversold.py&version=5.0.0
                    
Install as a Cake Tool

Stochastic Overbought/Oversold Reversal (Python Version)

The strategy reacts to extreme levels of the Stochastic Oscillator. When the %K line dives into oversold territory the system expects a bounce, whereas overbought readings can foreshadow a drop. The method runs on short intraday candles so signals arrive quickly.

After subscribing to the selected timeframe it monitors the %K and %D lines. A bullish setup forms when %K falls below 20 and then begins to recover. Conversely, a bearish setup appears if %K rallies above 80 and starts to turn down. A fixed percent stop controls risk for either side.

Positions are exited when the %K line crosses back through the 50 level, signaling momentum has shifted toward the opposite direction. Because stops scale with the latest ATR, the trade size adapts to volatility.

Details

  • Entry Criteria:
    • Long: %K < 20 with a bullish turn.
    • Short: %K > 80 with a bearish turn.
  • Long/Short: Both.
  • Exit Criteria: %K crossing 50 or stop-loss.
  • Stops: Yes, at 2% distance.
  • Default Values:
    • StochPeriod = 14
    • KPeriod = 3
    • DPeriod = 3
    • CandleType = 5 minute
  • Filters:
    • Category: Oscillator
    • Direction: Both
    • Indicators: Stochastic
    • Stops: Yes
    • Complexity: Basic
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk level: Medium
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Version Downloads Last Updated
5.0.0 15 7/19/2025