2,8 KiB
2,8 KiB
DualEA Documentation Index
Last Updated: February 2026
System Version: PaperEA v2 with P0-P5 Advanced Hardening
Compilation Status: ✅ 0 errors, 0 warnings
📚 Core Documentation
| Document | Purpose |
|---|---|
| README.md | Main system overview, architecture, and quick start |
| Configuration-Reference.md | Complete input parameter reference (180+ settings) |
| MQL5_Migration_Notes.md | MQL5 syntax fixes and migration guide |
🛡️ System Components
| Document | Purpose |
|---|---|
| NUCLEAR_IMPLEMENTATION_COMPLETE.md | Nuclear-grade optimization (VaR, Kelly, correlation engine) - MQL5 Verified |
| ONNX_INTEGRATION_README.md | ML model integration via ONNX Runtime |
| EFFICIENT_GATE_SYSTEM_IMPLEMENTATION.md | 8-stage gate system architecture |
| ENHANCED_STRATEGIES.md | 23 signal generator strategies |
🔧 Operational Guides
| Document | Purpose |
|---|---|
| Observability-Guide.md | Monitoring, telemetry, and health checks |
| Operations.md | Day-to-day operations and maintenance |
| Execution-Pipeline.md | Trade execution flow and pipeline |
📊 Data & Schema
| Document | Purpose |
|---|---|
| KB-Schemas.md | Knowledge Base CSV schemas |
| Redis_Schema.md | Redis data structures for coordination |
| PolicySchema.md | Policy.json structure and validation |
| Policy-Exploration-Guide.md | Policy exploration and optimization |
| PositionManager_Guide.md | Position management internals |
🚀 Quick Reference
P0-P5 Priority System
- P0: Production Risk (Nuclear Risk Engine, SQLite, Shadow Logging)
- P1: Architectural Hardening (Feature Cache, System Monitor, Volatility Exits)
- P2: Intelligence (Concept Drift, Auto-Promotion, MTF Gate, Correlation Pruner)
- P3: Performance (CPU Budgeting, Ring Buffers, Batch Telemetry)
- P4: Evolution (gRPC ML Bridge, Adversarial Fuzzer)
Key Files
PaperEA/PaperEA_v2.mq5- Main EA (3109+ lines)Include/CDualEAController.mqh- P0-P5 Master ControllerInclude/PaperEA_v2_P0P5_Integration.mqh- Integration layer
Common Data Locations
Terminal/Common/Files/DualEA/
├── features.csv # Feature data for ML
├── knowledge_base.csv # Trade execution records
├── insights.json # Performance analytics
└── policy.json # ML-generated trading policy