Stochastic Breakout Strategy (C#)

by StockSharp

Stochastic Breakout Strategy This breakout approach monitors the Stochastic oscillator for sharp moves away from its recent average. When the %K line breaks above or below a volatility-adjusted thresh...

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NuGet 5.0.2 Install-Package StockSharp.Strategies.0248_Stochastic_Breakout -Version 5.0.2
Stochastic Breakout Strategy (C#)

Stochastic Breakout Strategy

This breakout approach monitors the Stochastic oscillator for sharp moves away from its recent average. When the %K line breaks above or below a volatility-adjusted threshold, it signals a burst of momentum that may start a trend.

Testing indicates an average annual return of about 181%. It performs best in the crypto market.

A long position is triggered when %K crosses above the upper threshold after a period of contraction. A short position is taken when %K breaks below the lower threshold. The trade is closed when the oscillator drifts back toward its average or hits a protective stop.

The strategy is designed for intraday traders who want early entry into momentum swings. Using volatility-based bands helps filter noise so only decisive moves create signals.

Details

  • Entry Criteria:
    • Long: %K > Avg + DeviationMultiplier * StdDev
    • Short: %K < Avg - DeviationMultiplier * StdDev
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when %K < Avg
    • Short: Exit when %K > Avg
  • Stops: Yes, percent stop-loss.
  • Default Values:
    • StochasticPeriod = 14
    • KPeriod = 3
    • DPeriod = 3
    • LookbackPeriod = 20
    • DeviationMultiplier = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Breakout
    • 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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