4088850/Warrior_EA
Watch
1
0
Fork
You've already forked Warrior_EA
 0
forked from animatedread/Warrior_EA
Code Pull requests Activity
Warrior_EA/Signals/README.md

60 lines
4.6 KiB
Markdown
Raw Permalink Normal View History

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
# Signals Subsystem (Signals/)
## Overview
The Signals/ directory contains all trade signal generation logic for the Warrior EA. It includes both traditional indicator-based signals and advanced AI/ML-driven signals. Each signal is encapsulated in its own class, supporting modularity and extensibility.
## Key Components
### Signals.mqh
- Main orchestration file for signal modules.
- Includes both traditional and AI/ML signal classes.
- Facilitates integration of filters (news, session, etc.) and advanced signals.
### AI/ML-Driven Signals
- **SignalLSTM.mqh**: Implements an LSTM-based neural network signal generator. Integrates with the AI subsystem, supports model training, loading, and inference. Designed for advanced, data-driven strategies.
- **SignalPAI.mqh**: Implements a Perceptron AI-based signal generator. Inherits from `CExpertSignalAIBase`. Provides methods for initializing, training, and using a perceptron neural network for trade signal generation. Supports dynamic configuration, indicator integration, and modular AI/ML pipeline features. Designed for advanced, data-driven strategies and easy integration into the EA's AI subsystem.
### Traditional Indicator-Based Signals
- **SignalMA.mqh**: Moving Average signal generator.
- **SignalMACD.mqh**: MACD oscillator signal generator.
- **SignalRSI.mqh**: Relative Strength Index signal generator.
- **SignalStoch.mqh**: Stochastic oscillator signal generator.
- **SignalPB.mqh**: Pin Bar pattern signal generator.
- **SignalNewsFilter.mqh**: News event filter for signals, configurable by impact and lookback period.
- **SignalSessionFilter.mqh**: Session-based filter (London, New York, Tokyo sessions).
## Individual Signal Modules
Below is a comprehensive list of all signal modules in the Signals/ directory, with a brief description of each:
2026-04-20 22:35:14 -04:00
- **SignalAC.mqh**: (Removed)
- **SignalAO.mqh**: (Removed)
- **SignalCCI.mqh**: (Removed)
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
- **SignalCONV.mqh**: Convolutional AI signal. Uses a neural network for advanced pattern recognition.
2026-04-20 22:35:14 -04:00
- **SignalDTDB.mqh**: (Removed)
- **SignalEB.mqh**: (Removed)
- **SignalIB.mqh**: (Removed)
feat(signals): add MACD/Ichimoku presets and Vote_Close disabled option Add MACD_FAST, MACD_SLOW, MACD_SIGNAL presets and Ichimoku Tenkan, Kijun, Senkou presets to InputEnums.mqh. All combinations are designed to satisfy the respective indicator's validation rules (fast < slow for MACD, Tenkan < Kijun < Senkou B for Ichimoku), eliminating init errors and allowing the auto-tuner to perturb settings independently. Introduce VOTE_CLOSE_PRESETS enum with a Disabled option (value 101) that bypasses vote-driven position closing via arithmetic thresholding, removing the need for a separate boolean flag. This ensures positions exit only via stop-loss, take-profit, or trailing when disabled.
2026-07-26 18:33:12 -04:00
- **SignalIchimoku.mqh**: Ichimoku Kinko Hyo classic vote, written from scratch (no standard-library module exists). 12 patterns numbered weakest-to-strongest, covering the full repertoire: price/cloud bias, projected cloud colour and full Chikou Span confirmation (models 0-2, all at the standard-library floor weight of 10 since each is a standing state rather than a trigger); the TK cross graded weak/neutral/strong by cloud position (3/5/10, weights 10/40/90); Kumo twist (4); Kijun-sen cross and bounce (6/7); Kumo breakout and thin-cloud breakout (8/9); and Sanyaku Kōten/Gyakuten at 100 (11). Its class comment documents MT5's draw-shift-only buffer convention and the resulting lookahead hazard.
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
- **SignalITF.mqh**: Intraday Time Filter. Filters signals based on time-of-day and day-of-week.
- **SignalLSTM.mqh**: LSTM AI signal. Uses a recurrent neural network for sequence-based prediction.
feat(signals): add MACD/Ichimoku presets and Vote_Close disabled option Add MACD_FAST, MACD_SLOW, MACD_SIGNAL presets and Ichimoku Tenkan, Kijun, Senkou presets to InputEnums.mqh. All combinations are designed to satisfy the respective indicator's validation rules (fast < slow for MACD, Tenkan < Kijun < Senkou B for Ichimoku), eliminating init errors and allowing the auto-tuner to perturb settings independently. Introduce VOTE_CLOSE_PRESETS enum with a Disabled option (value 101) that bypasses vote-driven position closing via arithmetic thresholding, removing the need for a separate boolean flag. This ensures positions exit only via stop-loss, take-profit, or trailing when disabled.
2026-07-26 18:33:12 -04:00
- **SignalMA.mqh**: Moving Average classic vote (unified `ADMovingAverage` custom indicator; 4 patterns).
- **SignalMACD.mqh**: MACD oscillator classic vote, ported from the MQL5 standard library. 6 patterns including single and double price/oscillator divergence — the only divergence model in the classic set.
2026-04-20 22:35:14 -04:00
- **SignalNewsFilter.mqh**: (Filters trading signals based on economic news events and impact levels. Configurable lookback window and impact threshold.)
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
- **SignalPAI.mqh**: Implements a Perceptron AI-based signal generator. Inherits from `CExpertSignalAIBase`. Provides methods for initializing, training, and using a perceptron neural network for trade signal generation. Supports dynamic configuration, indicator integration, and modular AI/ML pipeline features. Designed for advanced, data-driven strategies and easy integration into the EA's AI subsystem.
2026-04-20 22:35:14 -04:00
- **SignalPB.mqh**: (Removed)
feat(signals): add MACD/Ichimoku presets and Vote_Close disabled option Add MACD_FAST, MACD_SLOW, MACD_SIGNAL presets and Ichimoku Tenkan, Kijun, Senkou presets to InputEnums.mqh. All combinations are designed to satisfy the respective indicator's validation rules (fast < slow for MACD, Tenkan < Kijun < Senkou B for Ichimoku), eliminating init errors and allowing the auto-tuner to perturb settings independently. Introduce VOTE_CLOSE_PRESETS enum with a Disabled option (value 101) that bypasses vote-driven position closing via arithmetic thresholding, removing the need for a separate boolean flag. This ensures positions exit only via stop-loss, take-profit, or trailing when disabled.
2026-07-26 18:33:12 -04:00
- **SignalRSI.mqh**: RSI classic vote (4 patterns).
2026-04-20 22:35:14 -04:00
- **SignalRVI.mqh**: (Removed)
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
- **Signals.mqh**: Main orchestration file for all signals.
2026-04-20 22:35:14 -04:00
- **SignalSAR.mqh**: (Removed)
- **SignalSessionFilter.mqh**: (Removed)
- **SignalStoch.mqh**: (Removed)
- **SignalWPR.mqh**: (Removed)
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
## Integration Notes
- All signals derive from a common base (typically `CExpertSignalCustom` or `CExpertSignalAIBase`).
- Modular design allows for easy addition/removal of signals and filters.
- Migration to a fully AI/ML-driven pipeline is recommended for future-proofing and improved performance.
- Some files (e.g., SignalPAI.mqh) may require conversion or external review due to non-text format.
---
*Documented April 2026. For AI/ML migration and modernization, see AI_NETWORK.md and project roadmap.*
Copy permalink