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>
247 lines
8.2 KiB
Markdown
247 lines
8.2 KiB
Markdown
# Resumen de Cambios - Fase 6 Ejecución
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## Trading Platform
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**Fecha**: 2026-01-07
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**Versión**: 1.0.0
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**Estado**: COMPLETADO
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---
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## 1. Resumen Ejecutivo
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La Fase 6 de ejecución homologó la configuración de todos los servicios del trading-platform, asegurando:
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- Credenciales de base de datos consistentes
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- Puertos de servicios estandarizados
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- Docker Compose completo con todos los servicios
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- URLs de integración correctas en frontend
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---
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## 2. Archivos Modificados
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### 2.1 Docker Compose
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**Archivo**: `/docker-compose.yml`
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**Cambios**:
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- Agregado servicio `llm-agent` (puerto 3085)
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- Agregado servicio `trading-agents` (puerto 3086)
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- Configuradas dependencias entre servicios
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- Variables de entorno homologadas
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```yaml
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# Servicios agregados:
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llm-agent:
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container_name: trading-llm-agent
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ports: ["3085:3085"]
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depends_on: [postgres, redis, ml-engine, data-service]
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trading-agents:
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container_name: trading-trading-agents
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ports: ["3086:3086"]
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depends_on: [postgres, redis, ml-engine, llm-agent]
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```
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### 2.2 Configuraciones .env.example
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| Archivo | Cambios |
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|---------|---------|
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| `apps/backend/.env.example` | DB_USER: trading, DB_PASSWORD: trading_dev_2025 |
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| `apps/data-service/.env.example` | Credenciales homologadas |
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| `apps/ml-engine/.env.example` | PORT: 3083, DATA_SERVICE_URL actualizado |
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| `apps/llm-agent/.env.example` | DATABASE_URL y credenciales agregadas |
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| `apps/trading-agents/.env.example` | Credenciales actualizadas, vars POSTGRES_* removidas |
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### 2.3 Configuración ML Engine
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**Archivo**: `apps/ml-engine/config/database.yaml`
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**Cambios**:
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- Agregada sección PostgreSQL como base de datos primaria
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- MySQL marcado como READ ONLY para datos históricos
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```yaml
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postgres:
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host: "${DB_HOST:-localhost}"
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port: "${DB_PORT:-5432}"
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database: "${DB_NAME:-trading_platform}"
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user: "${DB_USER:-trading}"
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password: "${DB_PASSWORD:-trading_dev_2025}"
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pool_size: 10
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mysql:
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host: "72.60.226.4"
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read_only: true # Solo lectura de datos historicos
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```
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### 2.4 Frontend Services
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**Archivos modificados**:
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- `apps/frontend/src/services/mlService.ts`
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- `apps/frontend/src/services/llmAgentService.ts`
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- `apps/frontend/src/services/backtestService.ts`
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- `apps/frontend/src/services/trading.service.ts`
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**Cambios**:
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```typescript
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// mlService.ts - ANTES: 8001 → DESPUÉS: 3083
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const ML_API_URL = import.meta.env.VITE_ML_URL || 'http://localhost:3083';
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// llmAgentService.ts - ANTES: 8003 → DESPUÉS: 3085
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const LLM_AGENT_URL = import.meta.env.VITE_LLM_AGENT_URL || 'http://localhost:3085';
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// backtestService.ts - ANTES: 8001/8002 → DESPUÉS: 3083/3084
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const ML_API_URL = import.meta.env.VITE_ML_URL || 'http://localhost:3083';
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const DATA_SERVICE_URL = import.meta.env.VITE_DATA_SERVICE_URL || 'http://localhost:3084';
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// trading.service.ts - ANTES: 8003 → DESPUÉS: 3085
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const LLM_AGENT_URL = import.meta.env.VITE_LLM_AGENT_URL || 'http://localhost:3085';
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```
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---
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## 3. Configuración Estandarizada
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### 3.1 Base de Datos PostgreSQL (Source of Truth)
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```
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Host: localhost (postgres en docker)
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Port: 5432
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Database: trading_platform
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User: trading
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Password: trading_dev_2025
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```
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### 3.2 Puertos de Servicios
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| Servicio | Puerto | Descripción |
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|----------|--------|-------------|
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| frontend | 3080 | React + Vite |
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| backend | 3081 | Express.js API |
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| ml-engine | 3083 | Python FastAPI - ML Models |
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| data-service | 3084 | Python FastAPI - Market Data |
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| llm-agent | 3085 | Python FastAPI - LLM/RAG |
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| trading-agents | 3086 | Python FastAPI - Auto Trading |
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### 3.3 Redis
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```
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Host: localhost (redis en docker)
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Port: 6379
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DB: 0
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```
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---
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## 4. Verificación de Servicios
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### 4.1 Data Service (3084)
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- **Estado**: 100% Implementado
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- **Endpoints**: /api/v1/market-data, /api/v1/tickers, /api/v1/polygon
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- **Integraciones**: Polygon.io, PostgreSQL, Redis cache
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### 4.2 ML Engine (3083)
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- **Estado**: 100% Implementado
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- **Modelos**: RangePredictor, AMDDetector, TPSLClassifier, StrategyEnsemble
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- **Endpoints**: /api/v1/signals, /api/v1/amd, /api/v1/predict, /api/ensemble
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### 4.3 LLM Agent (3085)
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- **Estado**: 100% Implementado
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- **Funciones**: Predictions, Backtesting, Risk Management
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- **Endpoints**: /api/v1/predictions, /api/v1/backtesting
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### 4.4 Trading Agents (3086)
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- **Estado**: Base implementada
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- **Funciones**: Auto-trading, Signal execution
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- **Pendiente**: MetaAPI integration tests
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---
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## 5. Integraciones Verificadas
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```
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┌─────────────────────────────────────────────────────────────┐
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│ FRONTEND (3080) │
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│ mlService.ts ──────────► ML Engine (3083) │
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│ llmAgentService.ts ────► LLM Agent (3085) │
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│ dataService.ts ────────► Data Service (3084) │
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└─────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────┐
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│ BACKEND (3081) │
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│ ├── ML Engine integration │
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│ ├── Data Service integration │
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│ └── PostgreSQL direct │
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└─────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────┐
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│ PYTHON SERVICES │
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│ ml-engine (3083) ◄──► data-service (3084) │
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│ │ │ │
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│ ▼ ▼ │
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│ llm-agent (3085) PostgreSQL │
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│ │ │ │
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│ ▼ │ │
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│ trading-agents (3086) ◄─────┘ │
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└─────────────────────────────────────────────────────────────┘
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```
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---
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## 6. Próximos Pasos (Fase 7)
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1. **Validar Docker Compose**
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```bash
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docker-compose config --quiet && echo "OK"
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```
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2. **Verificar builds**
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```bash
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docker-compose build --dry-run
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```
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3. **Test de conexiones (cuando servicios activos)**
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```bash
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curl http://localhost:3083/health # ML Engine
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curl http://localhost:3084/health # Data Service
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curl http://localhost:3085/health # LLM Agent
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curl http://localhost:3086/health # Trading Agents
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```
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---
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## 7. Notas Importantes
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### 7.1 MySQL Remoto (Solo Lectura)
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- Host: 72.60.226.4:3306
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- Base de datos: db_trading_meta
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- Uso: Datos históricos de tickers
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- **IMPORTANTE**: Configurado como READ ONLY
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### 7.2 Variables de Entorno Críticas
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```bash
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# Requeridas para producción
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POLYGON_API_KEY=xxx
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METAAPI_TOKEN=xxx
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METAAPI_ACCOUNT_ID=xxx
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ANTHROPIC_API_KEY=xxx # Si se usa Claude
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```
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### 7.3 Archivos NO modificados (ya correctos)
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- `apps/database/` - Schema DDL correcto
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- `apps/mcp-*/` - Configuración independiente
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- `packages/` - Tipos compartidos correctos
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---
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## 8. Checklist de Validación
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- [x] docker-compose.yml con todos los servicios
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- [x] Credenciales DB homologadas en todos los .env.example
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- [x] Puertos consistentes (3080-3086)
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- [x] Frontend services con URLs correctas
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- [x] ML Engine con PostgreSQL config
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- [x] Data Service verificado 100%
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- [x] LLM Agent verificado 100%
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- [ ] Test de integración end-to-end (requiere servicios activos)
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---
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**Documento generado automáticamente durante Fase 6 de integración**
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