StockSharp.Strategies.0194_Keltner_MACD.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0194_Keltner_MACD.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0194_Keltner_MACD.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0194_Keltner_MACD.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0194_Keltner_MACD.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0194_Keltner_MACD.py" />
paket add StockSharp.Strategies.0194_Keltner_MACD.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0194_Keltner_MACD.py, 5.0.1"
#:package StockSharp.Strategies.0194_Keltner_MACD.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0194_Keltner_MACD.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0194_Keltner_MACD.py&version=5.0.1
Keltner Macd Strategy (Python Version)
Strategy based on Keltner Channels and MACD. Enters long when price breaks above upper Keltner Channel with MACD > Signal. Enters short when price breaks below lower Keltner Channel with MACD < Signal. Exits when MACD crosses its signal line in the opposite direction.
Testing indicates an average annual return of about 169%. It performs best in the crypto market.
Keltner Channel breakouts serve as the trigger, and MACD momentum filters the direction. The strategy initiates trades once both signals align.
Good for traders chasing volatility expansions with momentum backing. An ATR-based stop contains risk.
Details
- Entry Criteria:
- Long:
Close > UpperBand && MACD > Signal
- Short:
Close < LowerBand && MACD < Signal
- Long:
- Long/Short: Both
- Exit Criteria: MACD cross opposite
- Stops: ATR-based using
AtrMultiplier
- Default Values:
EmaPeriod
= 20Multiplier
= 2mAtrPeriod
= 14MacdFastPeriod
= 12MacdSlowPeriod
= 26MacdSignalPeriod
= 9AtrMultiplier
= 2mCandleType
= TimeSpan.FromMinutes(15).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: Keltner Channel, MACD
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- 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
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Move strategy state reset to OnReseted