rckrdmrd
c1b5081208
ML Engine Updates: - Updated BTCUSD with Polygon API data (2024-2025): 215,699 new records - Re-trained all ML models: Attention (R²: 0.223), Base, Metamodel (87.3% confidence) - Backtest results: +176.71R profit with aggressive_filter strategy Documentation Consolidation: - Created docs/99-analisis/_MAP.md index with 13 new analysis documents - Consolidated inventories: removed duplicates from orchestration/inventarios/ - Updated ML_INVENTORY.yml with BTCUSD metrics and training results - Added execution reports: FASE11-BTCUSD, correction issues, alignment validation Architecture & Integration: - Updated all module documentation with NEXUS v3.4 frontmatter - Fixed _MAP.md indexes across all folders - Updated orchestration plans and traces Files: 229 changed, 5064 insertions(+), 1872 deletions(-) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
109 lines
2.7 KiB
Markdown
109 lines
2.7 KiB
Markdown
# PROJECT STATUS - Trading Platform (trading-platform)
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**Fecha:** 2026-01-07
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**Estado:** MVP Funcional
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**Fase:** 2 - Integracion y Testing (95%)
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---
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## Resumen Ejecutivo
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| Aspecto | Estado | Notas |
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|---------|--------|-------|
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| Database | Completado | 8 schemas, RLS configurado |
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| Backend | Completado | Express.js + TypeScript |
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| Frontend | Completado | React + Vite + TradingView |
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| ML Engine | Completado | 3 modelos: AMD, Range, TPSL |
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| LLM Agent | Completado | 17 tools, Llama 3 8B |
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| Trading Agents | Completado | Atlas, Orion, Nova |
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| MCP Server MT4 | Completado | 6 tools MCP |
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| Tests | Pendiente | E2E por ejecutar |
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## Progreso por Epica
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| Epica | Descripcion | Progreso |
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|-------|-------------|----------|
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| OQI-001 | Auth (OAuth, JWT, 2FA) | 100% |
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| OQI-002 | Education Platform | 95% |
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| OQI-003 | Trading Charts | 100% |
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| OQI-004 | Trading Agents | 100% |
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| OQI-005 | Stripe Integration | 95% |
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| OQI-006 | ML Engine | 100% |
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| OQI-007 | LLM Agent | 100% |
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## Servicios y Puertos
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| Servicio | Puerto | Estado |
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|----------|--------|--------|
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| Frontend | 5173 | Activo |
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| Backend | 3000 | Activo |
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| ML Engine | 8001 | Activo |
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| Data Service | 8002 | Pendiente |
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| LLM Agent | 8003 | Activo |
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| Trading Agents | 8004 | Activo |
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| MT4 Gateway | 8005 | Activo |
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| MCP Server MT4 | 3605 | Activo |
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| PostgreSQL | 5432 | Activo |
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| Redis | 6379 | Activo |
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| Ollama | 11434 | Activo |
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## Modelos ML Implementados
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| Modelo | Descripcion | Precision |
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|--------|-------------|-----------|
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| AMDDetector | Fases Accumulation/Manipulation/Distribution | ~75% |
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| RangePredictor | Prediccion de rango High/Low | ~70% |
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| TPSLClassifier | Clasificacion Take Profit/Stop Loss | ~68% |
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## Proximas Acciones
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1. Configurar EA Bridge en MT4 Terminals
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2. Test de integracion MCP → MT4 Gateway
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3. Generar datos para fine-tuning LLM
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4. Testing E2E de integraciones
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5. Deploy a produccion
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## Riesgos
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| Riesgo | Probabilidad | Impacto | Mitigacion |
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|--------|--------------|---------|------------|
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| Latencia MT4 Bridge | Media | Alto | Connection pooling |
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| Overfitting modelos ML | Media | Alto | Walk-forward validation |
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| Costo APIs LLM | Baja | Medio | Ollama local como default |
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## Recursos del Sistema
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| Recurso | Especificacion | Uso |
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|---------|----------------|-----|
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| GPU | NVIDIA RTX 5060 Ti (16GB VRAM) | ML + LLM |
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| CUDA | 13.0 | XGBoost, PyTorch |
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| Modelo LLM | Llama 3 8B | ~10GB VRAM |
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## Metricas
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| Metrica | Objetivo | Actual |
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|---------|----------|--------|
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| Epicas completadas | 7 | 6.9 (98%) |
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| Lineas de codigo | - | ~24,500 |
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| Archivos de codigo | - | ~95 |
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| Documentacion | 100% | 90% |
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**Ultima actualizacion:** 2026-01-07
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**Actualizado por:** Orquestador
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