Parabolic Sar Stochastic Strategy (C#). StockSharp

Author: StockSharp
N: 1632
v5.0.1 (7/23/2025)
Downloads: 63

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