Volatility Breakout Strategy (Python)

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. 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.

• 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