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.
33 righe
1,6 KiB
Markdown
33 righe
1,6 KiB
Markdown
# Variables Subsystem (Variables/)
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## Overview
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The Variables/ directory contains global input parameters and runtime variables for the Warrior EA. These files centralize configuration, feature toggles, and runtime state, supporting both user customization and internal logic.
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## Key Components
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### Inputs.mqh
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- **Purpose:** Defines all user-configurable input parameters for the EA.
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- **Contents:**
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- General EA settings (magic number, training mode, logging, etc.)
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- Money management strategy selection and parameters
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- Entry strategy and thresholds
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- Trailing stop strategy selection
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- Neural network/AI configuration (algorithm, layers, training years, etc.)
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- Indicator and feature toggles (enable/disable specific indicators and features)
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- Time/session filter settings
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- **Integration:** Used for both manual and programmatic configuration of the EA. Enables dynamic feature selection and AI/ML pipeline configuration.
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### Variables.mqh
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- **Purpose:** Stores global runtime variables and constants.
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- **Contents:**
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- EA name and database schema
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- Backtesting and feature enablement flags
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- AI/ML signal toggles (EnablePAI, EnableCONV, EnableLSTM)
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- **Integration:** Used throughout the EA for runtime logic, feature gating, and database operations.
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## Integration Notes
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- Centralized configuration and variable management improves maintainability and supports advanced, AI/ML-driven workflows.
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- Feature toggles allow for rapid experimentation and safe deployment of new logic.
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---
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*Documented April 2026. For further details, see the main project documentation.*
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