8157c42314
- Updated README.md with project overview, key features, directory structure, getting started guide, and modernization roadmap. - Added AI_NETWORK.md detailing the neural network and AI/ML infrastructure, including architecture, components, usage patterns, and next steps. - Introduced DATABASE.md for the Database module, outlining key components, design highlights, usage patterns, and future enhancements. - Created README.md files for Enumerations, Expert, Money, Signals, Structures, System, Trailing, Variables directories, detailing their purpose, key components, and integration notes. - Documented the Signals subsystem, emphasizing modularity, extensibility, and AI/ML readiness. - Added comprehensive descriptions for individual signal modules in Signals/ directory. - Established clear integration notes and recommendations for future improvements across all modules.
1.7 KiB
1.7 KiB
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.