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Parabolic SAR CCI Strategy (Python)
Published
Jul 20, 2025
1y ago
Total Downloads
1.5K
1,505
Install
dotnet add package StockSharp.Strategies.0204_Parabolic_SAR_CCI.py --version 5.0.0
No framework information available.
README
Parabolic SAR CCI Strategy (Python Version)
This strategy uses Parabolic SAR CCI indicators to generate signals. Long entry occurs when Price > SAR && CCI < -100 (trend up with oversold conditions). Short entry occurs when Price < SAR && CCI > 100 (trend down with overbought conditions). It is suitable for traders seeking opportunities in mixed markets.
Details
- Entry Criteria:
- Long: Price > SAR && CCI < -100 (trend up with oversold conditions)
- Short: Price < SAR && CCI > 100 (trend down with overbought conditions)
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit long position when price drops below SAR
- Short: Exit short position when price rises above SAR
- Stops: No.
- Default Values:
SarAccelerationFactor= 0.02mSarMaxAccelerationFactor= 0.2mCciPeriod= 20CandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mixed
- Direction: Both
- Indicators: Parabolic SAR CCI
- Stops: No
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
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