StockSharp.Strategies.0248_Stochastic_Breakout.py

Stochastic Breakout Strategy (Python Version)

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.

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