Warrior_EA/Signals

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:

• SignalAC.mqh: (Removed)
• SignalAO.mqh: (Removed)
• SignalCCI.mqh: (Removed)
• SignalCONV.mqh: Convolutional AI signal. Uses a neural network for advanced pattern recognition.
• SignalDTDB.mqh: (Removed)
• SignalEB.mqh: (Removed)
• SignalIB.mqh: (Removed)
• 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.
• SignalMA.mqh: (Removed)
• SignalMACD.mqh: (Removed)
• SignalNewsFilter.mqh: (Filters trading signals based on economic news events and impact levels. Configurable lookback window and impact threshold.)
• 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.
• SignalPB.mqh: (Removed)
• SignalRSI.mqh: (Removed)
• SignalRVI.mqh: (Removed)
• Signals.mqh: Main orchestration file for all signals.
• SignalSAR.mqh: (Removed)
• SignalSessionFilter.mqh: (Removed)
• SignalStoch.mqh: (Removed)
• SignalWPR.mqh: (Removed)

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.

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Documented April 2026. For AI/ML migration and modernization, see AI_NETWORK.md and project roadmap.