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Adx Bollinger Strategy (Python)
Published
Jul 19, 2025
1y ago
Total Downloads
1.2K
1,217
Install
dotnet add package StockSharp.Strategies.0176_ADX_Bollinger.py --version 5.0.0
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README
Adx Bollinger Strategy (Python Version)
Strategy based on ADX and Bollinger Bands indicators. Enters long when ADX > 25 and price breaks above upper Bollinger band Enters short when ADX > 25 and price breaks below lower Bollinger band
Bollinger band breaches filtered with ADX ensure price is breaking out with force. The system trades in the direction of the breakout.
Suited for high-volatility environments. An ATR-based stop reduces downside risk.
Details
- Entry Criteria:
- Long:
Close < LowerBand && ADX > 25 - Short:
Close > UpperBand && ADX > 25
- Long:
- Long/Short: Both
- Exit Criteria: Price returns to middle band
- Stops: ATR-based using
AtrMultiplier - Default Values:
AdxPeriod= 14BollingerPeriod= 20BollingerDeviation= 2.0mAtrPeriod= 14AtrMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: ADX, Bollinger Bands
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
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