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.
34 righe
1,6 KiB
Markdown
34 righe
1,6 KiB
Markdown
# Structures Subsystem (Structures/)
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## Overview
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The Structures/ directory contains data structure definitions used throughout the Warrior EA for organizing and passing trading-related information. These structures are essential for maintaining clean, modular, and testable code, especially as the system evolves toward AI/ML-driven logic.
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## Key Components
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### signalInfoStructure.mqh
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- **Struct:** `SignalInfo`
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- **Purpose:** Encapsulates all relevant information about a generated trading signal.
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- **Fields:**
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- `year`, `month`, `day`, `DOW`, `hour`, `minutes`: Timestamp of the signal.
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- `tableName`: Source or context table for the signal.
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- `pattern`: Name or type of the detected pattern.
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- `direction`: Trade direction (e.g., buy/sell).
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- `entryPrice`: Price at which the signal was generated.
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### TradeRecordStructure.mqh
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- **Struct:** `TradeRecord`
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- **Purpose:** Stores all relevant information about a completed trade.
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- **Fields:**
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- `year`, `month`, `day`, `day_of_week`, `hour`, `minutes`: Timestamp of the trade.
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- `pattern`: Pattern or strategy used for the trade.
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- `direction`: Trade direction (buy/sell).
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- `entryPrice`: Entry price for the trade.
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- `exitPrice`: Exit price for the trade.
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- `result`: Outcome/result of the trade (e.g., win/loss).
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## Integration Notes
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- These structures are used for logging, analytics, and passing data between subsystems (signals, database, AI/ML modules).
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- Consistent use of well-defined structures improves maintainability and supports future AI/ML integration.
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---
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*Documented April 2026. For further details, see the main project documentation and AI_NETWORK.md.*
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