StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py" />
paket add StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py, 5.0.1"
#:package StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0314_Parabolic_SAR_Volatility_Expansion.py&version=5.0.1
Parabolic SAR Volatility Expansion (Python Version)
The Parabolic SAR Volatility Expansion strategy is built around Parabolic SAR with Volatility Expansion detection.
Testing indicates an average annual return of about 49%. It performs best in the crypto market.
Signals trigger when Parabolic confirms trend changes on intraday (5m) data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like SarAf, SarMaxAf. 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:
SarAf = 0.02m
SarMaxAf = 0.2m
AtrPeriod = 14
VolatilityExpansionFactor = 2.0m
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Parabolic
- 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.
NuGet packages
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