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Parabolic Sar Volume Strategy (Python)
Published
Jul 20, 2025
1y ago
Total Downloads
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Install
dotnet add package StockSharp.Strategies.0188_Parabolic_SAR_Volume.py --version 5.0.0
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README
Parabolic Sar Volume Strategy (Python Version)
Strategy that combines Parabolic SAR with volume confirmation. Enters trades when price crosses the Parabolic SAR with above-average volume.
Parabolic SAR identifies trend shifts, and higher volume validates the signal. Trades commence when the SAR flip comes with expanding volume.
Useful for traders who track volume-based moves. The SAR trail and an ATR factor guard against big losses.
Details
- Entry Criteria:
- Long:
Close > SAR && Volume > AvgVolume - Short:
Close < SAR && Volume > AvgVolume
- Long:
- Long/Short: Both
- Exit Criteria: SAR flip
- Stops: Uses Parabolic SAR as trailing stop
- Default Values:
Acceleration= 0.02mMaxAcceleration= 0.2mVolumePeriod= 20CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: Parabolic SAR, Parabolic SAR, Volume
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
Adoption Assessment
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No SPDX license expression is published. Review the license text and your organisation's policy before redistribution.No target framework metadata is available. Confirm compatibility in a representative project before standardising on this package.
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