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

README.md

Trailing Subsystem (Trailing/)

Overview

The Trailing/ directory contains logic for trailing stop management in the Warrior EA. It supports multiple trailing stop strategies, including ATR-based, MA-based, Parabolic SAR, and none (disabled). Each strategy is modular and configurable.

Key Components

Trailing.mqh

  • Aggregates all available trailing stop strategies.
  • Includes: ATR-based, MA-based, Parabolic SAR, and None.
  • Entry point for trailing stop logic selection.

TrailingATR.mqh

  • Class: CTrailingATR
  • Purpose: Implements trailing stops based on the Average True Range (ATR) indicator.
  • Key Features:
    • Configurable ATR multiplier, periods, and shift.
    • Dynamically adjusts stop loss based on market volatility.
    • Inherits from CExpertTrailing for integration with the EA framework.

Integration Notes

  • Modular design allows for easy switching between trailing stop strategies.
  • ATR-based trailing is suitable for adaptive, volatility-aware risk management.
  • Additional strategies (MA, Parabolic SAR, None) are included via standard MQL5 modules.

Documented April 2026. For further details, see the main project documentation.