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Published
Jul 19, 2025
1y ago
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dotnet add package StockSharp.Strategies.0051_Volume_Weighted_Price_Breakout.py --version 5.0.0

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README

Volume Weighted Price Breakout (Python Version)

This strategy combines a moving average with a volume‑weighted moving average (VWMA). When price trades above the VWMA, it suggests buyers are dominant. A breakout occurs when price crosses the VWMA from the opposite side.

Trades align with the VWMA direction and use the simple moving average as a higher‑level trend filter. Exits occur when price reverses relative to the moving average.

The goal is to capture breakouts supported by volume.

Details

  • Entry Criteria: Price above or below VWMA with MA confirmation.
  • Long/Short: Both directions.
  • Exit Criteria: Price crosses MA in opposite direction or stop.
  • Stops: Yes.
  • Default Values:
    • MAPeriod = 20
    • VWAPPeriod = 20
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Breakout
    • Direction: Both
    • Indicators: VWMA, MA
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural Networks: No
    • Divergence: No
    • Risk Level: Medium

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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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