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.
35 lines
2.2 KiB
Markdown
35 lines
2.2 KiB
Markdown
# Warrior_EA Main File (Warrior_EA.mq5)
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## Overview
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This is the main entry point for the Warrior EA. It orchestrates the initialization, configuration, and runtime logic for all subsystems, including database, signals, trailing stops, money management, and AI/ML integration.
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## Key Responsibilities
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- Includes and initializes all major subsystems (Database, Expert logic, Signals, Trailing, Money, Inputs, Variables).
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- Handles robust initialization with retry logic for all critical components (signals, database, trailing, money management, indicators).
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- Supports both traditional and AI/ML-driven signals, with dynamic feature toggles and modular filter integration.
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- Manages event handlers for OnInit, OnDeinit, OnTick, OnTimer, and OnChartEvent.
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- Integrates database ranking and periodic optimization via timer events.
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## Initialization Flow
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1. **Random Seed Initialization**: Ensures non-deterministic behavior for retries and randomization.
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2. **Expert Initialization**: Robust retry logic for core expert logic.
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3. **Signal Creation**: Modular, retry-based creation of all enabled signals and filters (AI/ML and traditional).
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4. **Database Initialization**: Handles database versioning, folder structure, and error recovery.
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5. **Filter and Signal Integration**: Dynamically attaches enabled filters/signals to the main signal pipeline.
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6. **Trailing and Money Management**: Initializes and validates trailing stop and money management strategies.
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7. **Settings and Indicator Validation**: Ensures all parameters and indicators are correctly configured.
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8. **Timer Setup**: For periodic optimization and database ranking.
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## Event Handlers
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- `OnInit()`: Full initialization sequence.
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- `OnTesterInit()`, `OnTesterDeinit()`: Backtesting/optimization hooks.
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- `OnDeinit()`: Cleanup and resource release.
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- `OnTick()`, `OnTimer()`, `OnChartEvent()`: Main runtime event handlers.
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## Integration Notes
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- Highly modular and robust against initialization failures.
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- Designed for extensibility and future AI/ML-driven enhancements.
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- All configuration is centralized via Inputs.mqh and Variables.mqh.
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---
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*Documented April 2026. For further details, see the main project documentation and AI_NETWORK.md.*
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