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Filename Latest commit message Latest commit date
AnimateDread 47a5ef338b Refactor Warrior EA: Integrate custom signal modules, enhance voting mechanism, and improve management features 
- Replaced standard library signal modules with custom implementations to allow for named patterns and improved voting.
- Added new input parameters for module weights, allowing for optimization of individual signal contributions.
- Enhanced the management of trades with new options for breakeven and management cut.
- Introduced a mechanism for dynamic ranking of signal weights based on historical performance.
- Improved initialization logic to ensure proper registration of filters and handling of trading conditions.
- Added detailed logging for trading permissions and account status during initialization.
2026-09-13 14:32:40 -04:00
..
README.md feat: Enhance README and documentation for Warrior_EA project 2026-04-20 19:28:34 -04:00
WarriorEnums.mqh Refactor Warrior EA: Integrate custom signal modules, enhance voting mechanism, and improve management features 2026-09-13 14:32:40 -04:00

README.md

Enumerations Documentation

GlobalEnums.mqh

Defines the ENUM_SIGNAL enumeration for trading signal states:

  • Buy: Indicates a buy signal.
  • Sell: Indicates a sell signal.
  • Neutral: Indicates a neutral/no-action signal.
  • Undefine: Indicates an undefined or uninitialized state.

InputEnums.mqh

Defines a large set of enumerations for configuration and input parameters used throughout the EA. These include:

  • Custom menu and property enums for UI/configuration.
  • Period presets (e.g., 5, 10, 14, 20, 30, 50, 100, 200) for indicator calculations.
  • Training years presets for ML/AI training window selection.
  • ATR multipliers for volatility-based calculations.
  • Threshold presets for signal/trigger sensitivity.
  • Risk/reward ratio presets for money management.
  • Bars expiration settings for trade/session logic.
  • Entry multipliers for order sizing.
  • Trailing strategy types (none, ATR-based, SAR, MA, etc.).
  • Money management strategies (fixed risk, intelligent, fixed lot, etc.).
  • Day-of-week and session enums for time-based logic.
  • ITF (Intraday Time Filter) settings.
  • Hourly session presets (H1-H23) for time filtering.

Purpose: These enumerations provide a strongly-typed, maintainable way to configure and control the EA's behavior, supporting both traditional and AI/ML-driven logic. They enable dynamic feature selection, risk management, and strategy configuration, and are essential for modular, testable code.

Modernization Note:

  • Enumerations should be referenced in configuration UIs and parameter files to enable dynamic, user-driven feature pipelines.
  • Consider extending enums to support new AI/ML features and dynamic input selection as the EA evolves.