Parabolic Sar Stochastic Strategy (C#). StockSharp

Author: StockSharp
N: 1632
v5.0.2 (6/9/2026)
Downloads: 1355

Implementation of strategy - Parabolic SAR + Stochastic. Buy when price is above SAR and Stochastic %K is below 20 (oversold). Sell when price is below SAR and Stochastic %K is above 80 (overbought). Parabolic SAR supplies the trend and Stochastic refines entry on pullbacks. Signals flip when SAR changes side. A straightforward trend strategy with built-in SAR stops. ATR settings handle additional risk control.

  • Entry Criteria:

  • Long: Close > SAR && StochK < StochOversold

  • Short: Close < SAR && StochK > StochOverbought []Long/Short: Both []Exit Criteria:

  • Parabolic SAR flip in opposite direction []Stops: Dynamic SAR based []Default Values:

  • AccelerationFactor = 0.02m

  • MaxAccelerationFactor = 0.2m

  • StochK = 3

  • StochD = 3

  • StochPeriod = 14

  • StochOversold = 20m

  • StochOverbought = 80m

  • CandleType = TimeSpan.FromMinutes(5).TimeFrame() [*]Filters:

  • Category: Mean reversion

  • Direction: Both

  • Indicators: Parabolic SAR, Parabolic SAR, Stochastic Oscillator

  • Stops: Yes

  • Complexity: Intermediate

  • Timeframe: Mid-term

  • Seasonality: No

  • Neural Networks: No

  • Divergence: No

  • Risk Level: Medium