StockSharp.Strategies.0167_Keltner_RSI.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0167_Keltner_RSI.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0167_Keltner_RSI.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0167_Keltner_RSI.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0167_Keltner_RSI.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0167_Keltner_RSI.py" />
paket add StockSharp.Strategies.0167_Keltner_RSI.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0167_Keltner_RSI.py, 5.0.1"
#:package StockSharp.Strategies.0167_Keltner_RSI.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0167_Keltner_RSI.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0167_Keltner_RSI.py&version=5.0.1
Keltner Rsi Strategy (Python Version)
Strategy combining Keltner Channels and RSI indicators. Looks for mean reversion opportunities when price touches channel boundaries and RSI confirms oversold/overbought conditions.
Testing indicates an average annual return of about 88%. It performs best in the stocks market.
Keltner Channels map recent volatility while RSI measures momentum extremes. Entries occur when RSI supports a move beyond the channel.
Great for bounce traders around volatility envelopes. Stops rely on an ATR multiplier.
Details
- Entry Criteria:
- Long:
Close < LowerBand && RSI < RsiOversoldLevel
- Short:
Close > UpperBand && RSI > RsiOverboughtLevel
- Long:
- Long/Short: Both
- Exit Criteria:
- Price returns to EMA
- Stops: Percent-based using
StopLossPercent
- Default Values:
EmaPeriod
= 20AtrPeriod
= 14AtrMultiplier
= 2.0mRsiPeriod
= 14RsiOverboughtLevel
= 70mRsiOversoldLevel
= 30mStopLossPercent
= 2.0mCandleType
= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: Keltner Channel, RSI
- 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.
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