Parabolic SAR RSI Divergence (C#)
Parabolic SAR RSI Divergence The Parabolic SAR RSI Divergence strategy is built around that trades based on Parabolic SAR signals when RSI shows divergence from price. Testing indicates an average ann...
Install-Package StockSharp.Strategies.0336_Parabolic_SAR_RSI_Divergence -Version 5.0.2
Parabolic SAR RSI Divergence
The Parabolic SAR RSI Divergence strategy is built around that trades based on Parabolic SAR signals when RSI shows divergence from price.
Testing indicates an average annual return of about 103%. It performs best in the stocks market.
Signals trigger when Parabolic confirms divergence setups on intraday (5m) data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like SarAccelerationFactor, SarMaxAccelerationFactor. 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:
SarAccelerationFactor = 0.02mSarMaxAccelerationFactor = 0.2mRsiPeriod = 14CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Parabolic, Divergence
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: Yes
- Risk Level: Medium