AnimateDread 8157c42314 feat: Enhance README and documentation for Warrior_EA project

- 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.

2026-04-20 19:28:34 -04:00

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Money Management Subsystem (Money/)

Overview

The Money/ directory contains all money management logic for the Warrior EA. It provides multiple strategies for position sizing, ranging from simple fixed lots to adaptive, streak-based approaches. Each strategy is encapsulated in its own class and can be selected/configured as needed.

Components

Money.mqh

Aggregates all money management strategies.
Includes: MoneyFixedRisk, MoneyFixedLot, MoneyIntelligent.
Entry point for money management logic selection.

MoneyFixedLot.mqh

Class: CMoneyFixedLot
Purpose: Fixed lot size per trade.
Key Features:
- User-defined lot size (m_lots).
- Validates lot size against symbol min/max/step constraints.
- Simple, robust, suitable for static position sizing.

MoneyFixedRisk.mqh

Class: CMoneyFixedRisk
Purpose: Risk-based position sizing.
Key Features:
- Calculates lot size based on account balance and risk percentage (m_percent).
- Ensures risk per trade is controlled.
- Handles both long and short positions.
- Validates margin and volume constraints.

MoneyIntelligent.mqh

Class: CMoneyIntelligent
Purpose: Adaptive, streak-based money management.
Key Features:
- Dynamically adjusts lot size based on trade history (winning/losing streaks).
- Configurable aggressiveness via m_factor.
- Integrates risk-based sizing and optimization.
- Suitable for advanced, AI/ML-driven strategies.

Integration Notes

All strategies derive from a common base (CExpertMoneyCustom).
Designed for modularity and easy extension.
Can be further enhanced with AI/ML-driven logic for dynamic risk and position sizing.

Documented April 2026. For modernization and AI/ML integration, see AI_NETWORK.md and project roadmap.

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