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MACD Bollinger Strategy (Python)
Published
Jul 20, 2025
1y ago
Total Downloads
1.5K
1,525
Install
dotnet add package StockSharp.Strategies.0206_MACD_Bollinger.py --version 5.0.0
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README
MACD Bollinger Strategy (Python Version)
This strategy uses MACD Bollinger indicators to generate signals. Long entry occurs when MACD > Signal && Price < BB_lower (trend up with oversold conditions). Short entry occurs when MACD < Signal && Price > BB_upper (trend down with overbought conditions). It is suitable for traders seeking opportunities in mixed markets.
Details
- Entry Criteria:
- Long: MACD > Signal && Price < BB_lower (trend up with oversold conditions)
- Short: MACD < Signal && Price > BB_upper (trend down with overbought conditions)
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit long position when price returns to middle band
- Short: Exit short position when price returns to middle band
- Stops: Yes.
- Default Values:
MacdFast= 12MacdSlow= 26MacdSignal= 9BollingerPeriod= 20BollingerDeviation= 2.0mAtrPeriod= 14AtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mixed
- Direction: Both
- Indicators: MACD Bollinger
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
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