Bollinger Volatility Breakout (Python)

The Bollinger Volatility Breakout strategy is built around Bollinger Bands breakout with volatility confirmation. Signals trigger when Bollinger confirms breakout opportunities on intraday (5m) data. ...

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NuGet 5.0.1 Install-Package StockSharp.Strategies.0306_Bollinger_Volatility_Breakout.py -Version 5.0.1
Bollinger Volatility Breakout (Python)

The Bollinger Volatility Breakout strategy is built around Bollinger Bands breakout with volatility confirmation. Signals trigger when Bollinger confirms breakout opportunities on intraday (5m) data. This makes the method suitable for active traders. Stops rely on ATR multiples and factors like BollingerPeriod, BollingerDeviation. Adjust these defaults to balance risk and reward.

  • Entry Criteria: see implementation for indicator conditions.

  • Long/Short: Both directions.

  • Exit Criteria: opposite signal or stop logic.

  • Stops: Yes, using indicator-based calculations.

  • Default Values:

  • BollingerPeriod = 20

  • BollingerDeviation = 2.0m

  • AtrPeriod = 14

  • AtrDeviationMultiplier = 2.0m

  • StopLossMultiplier = 2.0m

  • CandleType = TimeSpan.FromMinutes(5).TimeFrame() [*]Filters:

  • Category: Trend following

  • Direction: Both

  • Indicators: Bollinger

  • Stops: Yes

  • Complexity: Intermediate

  • Timeframe: Intraday (5m)

  • Seasonality: No

  • Neural Networks: No

  • Divergence: No

  • Risk Level: Medium

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