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Hull MA Volatility Contraction (Python)

Published
Aug 7, 2025
1y ago
Total Downloads
1.5K
1,538

Install

dotnet add package StockSharp.Strategies.0325_Hull_MA_Volatility_Contraction.py --version 5.0.1

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README

Hull MA Volatility Contraction (Python Version)

The Hull MA Volatility Contraction strategy is built around Hull Moving Average with volatility contraction filter.

Testing indicates an average annual return of about 76%. It performs best in the forex market.

Signals trigger when its indicators confirms volatility contraction patterns on intraday (15m) data. This makes the method suitable for active traders.

Stops rely on ATR multiples and factors like HmaPeriod, AtrPeriod. Adjust these defaults to balance risk and reward.

Details

  • Entry Criteria: see implementation for indicator conditions.
  • Long/Short: Both directions.
  • Exit Criteria: opposite signal or stop logic.
  • Stops: Yes, using indicator-based calculations.
  • Default Values:
    • HmaPeriod = 9
    • AtrPeriod = 14
    • VolatilityContractionFactor = 2.0m
    • CandleType = TimeSpan.FromMinutes(15).TimeFrame()
  • Filters:
    • Category: Trend following
    • Direction: Both
    • Indicators: multiple indicators
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday (15m)
    • Seasonality: No
    • Neural Networks: No
    • Divergence: No
    • Risk Level: Medium

Changes from Previous Version

No structural changes between v5.0.0 and v5.0.1.

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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