Volatility Breakout Strategy (C#)

by StockSharp

Volatility Breakout Strategy The Volatility Breakout strategy seeks strong directional moves when price escapes from its average range. By measuring the distance from a simple moving average using the...

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NuGet 5.0.2 Install-Package StockSharp.Strategies.0220_Volatility_Breakout -Version 5.0.2
Volatility Breakout Strategy (C#)

Volatility Breakout Strategy

The Volatility Breakout strategy seeks strong directional moves when price escapes from its average range. By measuring the distance from a simple moving average using the Average True Range, the algorithm defines breakout thresholds that scale with volatility.

Testing indicates an average annual return of about 97%. It performs best in the crypto market.

A buy order is triggered when the close rises above the SMA by more than Multiplier times the ATR. A sell signal appears when the close falls below the SMA by the same distance. Positions remain open until an opposite breakout occurs or a protective stop is hit.

This technique caters to intraday traders who thrive on momentum surges. Using ATR-based thresholds helps filter out noise so only significant moves generate trades.

Details

  • Entry Criteria:
    • Long: Close > SMA + Multiplier * ATR
    • Short: Close < SMA - Multiplier * ATR
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when an opposite breakout triggers or stop-loss hits
    • Short: Exit when an opposite breakout triggers or stop-loss hits
  • Stops: Yes, stop-loss at Multiplier * ATR from entry.
  • Default Values:
    • Period = 20
    • Multiplier = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Breakout
    • Direction: Both
    • Indicators: SMA, ATR
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk Level: Medium

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