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Hull MA CCI Strategy (Python)

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

Install

dotnet add package StockSharp.Strategies.0205_Hull_MA_CCI.py --version 5.0.1

No framework information available.

README

Hull MA CCI Strategy (Python Version)

This strategy uses Hull MA CCI indicators to generate signals. Long entry occurs when HMA(t) > HMA(t-1) && CCI < -100 (HMA rising with oversold conditions). Short entry occurs when HMA(t) < HMA(t-1) && CCI > 100 (HMA falling with overbought conditions). It is suitable for traders seeking opportunities in mixed markets.

Testing indicates an average annual return of about 52%. It performs best in the crypto market.

Details

  • Entry Criteria:
    • Long: HMA(t) > HMA(t-1) && CCI < -100 (HMA rising with oversold conditions)
    • Short: HMA(t) < HMA(t-1) && CCI > 100 (HMA falling with overbought conditions)
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit long position when HMA starts falling
    • Short: Exit short position when HMA starts rising
  • Stops: Yes.
  • Default Values:
    • HullPeriod = 9
    • CciPeriod = 20
    • AtrPeriod = 14
    • AtrMultiplier = 2m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mixed
    • Direction: Both
    • Indicators: Hull MA CCI
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • 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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