StockSharp.Strategies.0220_Volatility_Breakout.py 5.0.1

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dotnet add package StockSharp.Strategies.0220_Volatility_Breakout.py --version 5.0.1
                    
NuGet\Install-Package StockSharp.Strategies.0220_Volatility_Breakout.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.0220_Volatility_Breakout.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.0220_Volatility_Breakout.py" Version="5.0.1" />
                    
Directory.Packages.props
<PackageReference Include="StockSharp.Strategies.0220_Volatility_Breakout.py" />
                    
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paket add StockSharp.Strategies.0220_Volatility_Breakout.py --version 5.0.1
                    
#r "nuget: StockSharp.Strategies.0220_Volatility_Breakout.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.0220_Volatility_Breakout.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.0220_Volatility_Breakout.py&version=5.0.1
                    
Install as a Cake Addin
#tool nuget:?package=StockSharp.Strategies.0220_Volatility_Breakout.py&version=5.0.1
                    
Install as a Cake Tool

Volatility Breakout Strategy (Python Version)

The Volatility Breakout strategy seeks strong directional moves when price escapes from its average range. By measuring the distance from a simple moving average using the Average True Range, the algorithm defines breakout thresholds that scale with volatility.

Testing indicates an average annual return of about 97%. It performs best in the crypto market.

A buy order is triggered when the close rises above the SMA by more than Multiplier times the ATR. A sell signal appears when the close falls below the SMA by the same distance. Positions remain open until an opposite breakout occurs or a protective stop is hit.

This technique caters to intraday traders who thrive on momentum surges. Using ATR-based thresholds helps filter out noise so only significant moves generate trades.

Details

  • Entry Criteria:
    • Long: Close > SMA + Multiplier * ATR
    • Short: Close < SMA - Multiplier * ATR
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when an opposite breakout triggers or stop-loss hits
    • Short: Exit when an opposite breakout triggers or stop-loss hits
  • Stops: Yes, stop-loss at Multiplier * ATR from entry.
  • Default Values:
    • Period = 20
    • Multiplier = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Breakout
    • Direction: Both
    • Indicators: SMA, ATR
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk Level: Medium
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Learn more about Target Frameworks and .NET Standard.

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Version Downloads Last Updated
5.0.1 210 8/7/2025
5.0.0 293 7/20/2025

Refactor strategy reset handling