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Warrior_EA/Money
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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.mqh convert 2025-05-30 16:35:54 +02:00
MoneyFixedLot.mqh convert 2025-05-30 16:35:54 +02:00
MoneyFixedRisk.mqh convert 2025-05-30 16:35:54 +02:00
MoneyIntelligent.mqh convert 2025-05-30 16:35:54 +02:00
README.md feat: Enhance README and documentation for Warrior_EA project 2026-04-20 19:28:34 -04:00

README.md

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.