df43dd90cb
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>
82 lines
2.1 KiB
YAML
82 lines
2.1 KiB
YAML
# METADATA.yml - ML Data Migration & Model Training
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id: TASK-2026-01-25-ML-DATA-MIGRATION
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fecha: "2026-01-25"
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titulo: "Migración MySQL→PostgreSQL y Entrenamiento Modelos ML"
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descripcion: |
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Carga de datos de mercado desde Polygon API a PostgreSQL,
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migración del ML Engine de MySQL a PostgreSQL, y
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entrenamiento de 12 modelos de atención (Level 0).
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clasificacion:
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tipo: feature
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origen: plan
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prioridad: P1
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feature: OQI-006-senales-ml
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proyecto:
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nombre: trading-platform
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path: projects/trading-platform
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nivel: STANDALONE
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estado:
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actual: completada
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progreso: 100%
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fecha_inicio: "2026-01-25"
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fecha_fin: "2026-01-25"
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fases_capved:
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contexto: completada
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analisis: completada
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planeacion: completada
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validacion: completada
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ejecucion: completada
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documentacion: completada
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agente:
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principal: claude-code
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subagentes:
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- ml-specialist
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entregables:
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scripts_creados:
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- apps/data-service/scripts/fetch_polygon_data.py
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modulos_creados:
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- apps/ml-engine/src/data/database.py
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- apps/ml-engine/src/data/__init__.py
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configs_modificados:
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- apps/ml-engine/config/database.yaml
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- apps/data-service/.env
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- apps/ml-engine/.env
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modelos_entrenados:
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count: 12
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path: apps/ml-engine/models/attention/
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symbols: [XAUUSD, EURUSD, BTCUSD, GBPUSD, USDJPY, AUDUSD]
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timeframes: [5m, 15m]
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documentacion_actualizada:
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- docs/90-transversal/inventarios/DATABASE_INVENTORY.yml
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- docs/90-transversal/inventarios/ML_INVENTORY.yml
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commits:
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- repo: trading-platform
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hash: ffee190
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mensaje: "docs: Update DATABASE_INVENTORY and ML_INVENTORY"
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- repo: trading-platform-ml-engine-v2
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hash: 475e913
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mensaje: "config: Update database.yaml for PostgreSQL"
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- repo: trading-platform-data-service-v2
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hash: 0e20c7c
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mensaje: "feat: Add Polygon data fetch script"
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- repo: workspace-v2
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hash: 9b9ca7b0
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mensaje: "chore: Update submodules"
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metricas:
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archivos_modificados: 4
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archivos_creados: 4
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lineas_codigo: 650
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modelos_entrenados: 12
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datos_cargados:
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tickers: 6
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bars_total: 469217
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dias: 365
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