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df43dd90cb
trading-platform/orchestration/tareas/_archive/2026-01/TASK-2026-01-25-ML-DATA-MIGRATION/06-DOCUMENTACION.md
Adrian Flores Cortes df43dd90cb [F0-F2] feat: Coherence analysis baseline + entity types + frontend stores 
FASE 0 - Preparación y Purga:
- Archived 21 completed tasks to _archive/2026-01/
- Marked 4 docs as DEPRECATED
- Created 3 baseline coherence reports

FASE 1 - DDL-Backend Coherence:
- audit.types.ts: +4 types (SystemEvent, TradingAudit, ApiRequestLog, DataAccessLog)
- investment.types.ts: +4 types (RiskQuestionnaire, WithdrawalRequest, DailyPerformance, DistributionHistory)
- entity.types.ts: +5 types (Symbol, TradingBot, TradingSignal, TradingMetrics, PaperBalance)

FASE 2 - Backend-Frontend Coherence:
- investmentStore.ts: New Zustand store with 20+ actions
- mlStore.ts: New Zustand store with signal caching
- alerts.service.ts: New service with 15 functions

FASE 3 - Documentation:
- OQI-009: Updated to 100% coverage, added ET-MKT-004-productos.md
- OQI-010: Created full structure (STATUS.md, ROADMAP-MT4.md, ET-MT4-001-gateway.md)

Coherence Baseline Established:
- DDL-Backend: 31% (target 95%)
- Backend-Frontend: 72% (target 85%)
- Global: 39.6% (target 90%)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-28 22:08:04 -06:00

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06-DOCUMENTACION - ML Data Migration & Model Training

Fecha: 2026-01-25

Fase: DOCUMENTACION (D)

Estado: COMPLETADA

1. Inventarios Actualizados

1.1 DATABASE_INVENTORY.yml

  • Agregada seccion data_status con:
    • Configuracion de Polygon API
    • Detalle de tickers cargados (6)
    • Conteo de bars por ticker
    • Total: 469,217 bars

1.2 ML_INVENTORY.yml

  • Actualizada version a 2.2.0
  • Agregado changelog con:
    • Migracion MySQL→PostgreSQL
    • Nuevo modulo database.py
    • Entrenamiento de modelos

2. Reportes Generados

2.1 Training Report

  • Path: apps/ml-engine/models/ATTENTION_TRAINING_REPORT_20260125_060911.md
  • Contenido:
    • Configuracion de entrenamiento
    • Metricas por modelo
    • Distribucion de clases
    • Feature importance
    • Recomendaciones de uso

3. Archivos de Configuracion

Archivo Proposito
apps/data-service/.env Credenciales Polygon + PostgreSQL
apps/ml-engine/.env Credenciales PostgreSQL
apps/ml-engine/config/database.yaml Config BD con deprecacion MySQL

4. Carpeta TASK Creada

orchestration/tareas/TASK-2026-01-25-ML-DATA-MIGRATION/
├── METADATA.yml
├── 01-CONTEXTO.md
├── 02-ANALISIS.md
├── 03-PLANEACION.md
├── 04-VALIDACION.md
├── 05-EJECUCION.md
├── 06-DOCUMENTACION.md (este archivo)
└── SUMMARY.md

5. Impacto en Documentacion

Documentos Afectados

Documento Cambio
DATABASE_INVENTORY.yml +30 lineas (data_status)
ML_INVENTORY.yml +15 lineas (changelog)
_INDEX.yml (tareas) +1 tarea

Sin Propagacion

  • Este proyecto es STANDALONE
  • No requiere propagacion a otros proyectos

6. Proximos Pasos Documentados

  1. Level 1+ Models: Requieren >5 anos de datos historicos
  2. API de Predicciones: Exponer modelos via FastAPI
  3. Dashboard ML: Visualizacion de metricas en frontend

7. Referencias Cruzadas

  • ADR-ML-001: PostgreSQL como fuente unica (02-ANALISIS.md)
  • Training Report: models/ATTENTION_TRAINING_REPORT_*.md
  • Inventarios: docs/90-transversal/inventarios/