StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py" />
paket add StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py, 5.0.1"
#:package StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0310_Donchian_Volatility_Contraction.py&version=5.0.1
Donchian Volatility Contraction (Python Version)
The Donchian Volatility Contraction strategy is built around Donchian Channel breakout after volatility contraction.
Testing indicates an average annual return of about 187%. It performs best in the stocks market.
Signals trigger when Donchian confirms volatility contraction patterns on intraday (5m) data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like DonchianPeriod, AtrPeriod. Adjust these defaults to balance risk and reward.
Details
- Entry Criteria: see implementation for indicator conditions.
- Long/Short: Both directions.
- Exit Criteria: opposite signal or stop logic.
- Stops: Yes, using indicator-based calculations.
- Default Values:
DonchianPeriod = 20
AtrPeriod = 14
VolatilityFactor = 2.0m
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Donchian
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
Learn more about Target Frameworks and .NET Standard.
This package has no dependencies.
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fix csharp indentation