StockSharp.Strategies.0220_Volatility_Breakout.py
5.0.1
Prefix Reserved
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
<PackageReference Include="StockSharp.Strategies.0220_Volatility_Breakout.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0220_Volatility_Breakout.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0220_Volatility_Breakout.py" />
paket add StockSharp.Strategies.0220_Volatility_Breakout.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0220_Volatility_Breakout.py, 5.0.1"
#:package StockSharp.Strategies.0220_Volatility_Breakout.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0220_Volatility_Breakout.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0220_Volatility_Breakout.py&version=5.0.1
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
= 20Multiplier
= 2.0mCandleType
= 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
Learn more about Target Frameworks and .NET Standard.
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Refactor strategy reset handling