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trading-platform/orchestration/PROJECT-STATUS.md
rckrdmrd c1b5081208 feat(ml): Complete FASE 11 - BTCUSD update and comprehensive documentation alignment 
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>
2026-01-07 09:31:29 -06:00

2.7 KiB
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PROJECT STATUS - Trading Platform (trading-platform)

Fecha: 2026-01-07 Estado: MVP Funcional Fase: 2 - Integracion y Testing (95%)

Resumen Ejecutivo

Aspecto Estado Notas
Database Completado 8 schemas, RLS configurado
Backend Completado Express.js + TypeScript
Frontend Completado React + Vite + TradingView
ML Engine Completado 3 modelos: AMD, Range, TPSL
LLM Agent Completado 17 tools, Llama 3 8B
Trading Agents Completado Atlas, Orion, Nova
MCP Server MT4 Completado 6 tools MCP
Tests Pendiente E2E por ejecutar

Progreso por Epica

Epica Descripcion Progreso
OQI-001 Auth (OAuth, JWT, 2FA) 100%
OQI-002 Education Platform 95%
OQI-003 Trading Charts 100%
OQI-004 Trading Agents 100%
OQI-005 Stripe Integration 95%
OQI-006 ML Engine 100%
OQI-007 LLM Agent 100%

Servicios y Puertos

Servicio Puerto Estado
Frontend 5173 Activo
Backend 3000 Activo
ML Engine 8001 Activo
Data Service 8002 Pendiente
LLM Agent 8003 Activo
Trading Agents 8004 Activo
MT4 Gateway 8005 Activo
MCP Server MT4 3605 Activo
PostgreSQL 5432 Activo
Redis 6379 Activo
Ollama 11434 Activo

Modelos ML Implementados

Modelo Descripcion Precision
AMDDetector Fases Accumulation/Manipulation/Distribution ~75%
RangePredictor Prediccion de rango High/Low ~70%
TPSLClassifier Clasificacion Take Profit/Stop Loss ~68%

Proximas Acciones

  1. Configurar EA Bridge en MT4 Terminals
  2. Test de integracion MCP → MT4 Gateway
  3. Generar datos para fine-tuning LLM
  4. Testing E2E de integraciones
  5. Deploy a produccion

Riesgos

Riesgo Probabilidad Impacto Mitigacion
Latencia MT4 Bridge Media Alto Connection pooling
Overfitting modelos ML Media Alto Walk-forward validation
Costo APIs LLM Baja Medio Ollama local como default

Recursos del Sistema

Recurso Especificacion Uso
GPU NVIDIA RTX 5060 Ti (16GB VRAM) ML + LLM
CUDA 13.0 XGBoost, PyTorch
Modelo LLM Llama 3 8B ~10GB VRAM

Metricas

Metrica Objetivo Actual
Epicas completadas 7 6.9 (98%)
Lineas de codigo - ~24,500
Archivos de codigo - ~95
Documentacion 100% 90%

Ultima actualizacion: 2026-01-07 Actualizado por: Orquestador