Stochastic Mean Reversion Strategy (C#)

by StockSharp

Stochastic Mean Reversion Strategy This strategy measures the Stochastic oscillator against its own moving average to locate overextended swings. When %K moves several standard deviations away from it...

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NuGet 5.0.2 Install-Package StockSharp.Strategies.0237_Stochastic_Mean_Reversion -Version 5.0.2
Stochastic Mean Reversion Strategy (C#)

Stochastic Mean Reversion Strategy

This strategy measures the Stochastic oscillator against its own moving average to locate overextended swings. When %K moves several standard deviations away from its mean, the expectation is for the indicator to drift back toward typical values.

Testing indicates an average annual return of about 64%. It performs best in the forex market.

A long trade is placed when Stochastic %K falls below the lower band defined by the average minus Multiplier times the standard deviation. A short trade occurs when %K exceeds the upper band. Positions are closed once %K crosses back through its average line.

The method is designed for short-term traders who like to trade overbought and oversold extremes. The stop-loss protects against sustained momentum that fails to mean revert.

Details

  • Entry Criteria:
    • Long: %K < Avg - Multiplier * StdDev
    • Short: %K > Avg + Multiplier * StdDev
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when %K > Avg
    • Short: Exit when %K < Avg
  • Stops: Yes, percent stop-loss.
  • Default Values:
    • StochPeriod = 14
    • KPeriod = 3
    • DPeriod = 3
    • AveragePeriod = 20
    • Multiplier = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mean Reversion
    • Direction: Both
    • Indicators: Stochastic Oscillator
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk Level: Medium

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