Warrior_EA/Money/README.md

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