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- FASE-0: Diagnostic audit of 500+ files, 33 findings cataloged (7P0/8P1/12P2/6P3) - FASE-1: Resolved 7 P0 critical conflicts (ports, paths, dedup OQI-010/ADR-002, orphan schemas) - FASE-2: Resolved 8 P1 issues (traces, README/CLAUDE.md, DEPENDENCY-GRAPH v2.0, DDL drift, stack versions, DoR/DoD) - FASE-3: Resolved 12 P2 issues (archived tasks indexed, RNFs created, OQI-010 US/RF/ET, AGENTS v2.0) - FASE-4: Purged 3 obsolete docs to _archive/, fixed MODELO-NEGOCIO.md broken ref - FASE-5: Cross-layer validation (DDL→OQI 66%, OQI→BE 72%, BE→FE 78%, Inventories 95%) - FASE-6: INFORME-FINAL, SA-INDEX (18 subagents), METADATA COMPLETED 27/33 findings resolved (82%), 6 P3 deferred to backlog. 18 new files created, 40+ modified, 4 archived. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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| id | title | type | epic | version | created_date |
|---|---|---|---|---|---|
| RNF-ML-001 | Requerimientos No Funcionales - ML Signals | Non-Functional Requirement | OQI-006 | 1.0.0 | 2026-02-06 |
RNF-ML-001: Requerimientos No Funcionales - ML Signals
Rendimiento
- Signal generation < 5s per symbol
- Batch prediction (50 symbols) < 30s
- Model inference < 500ms per prediction
- Backtesting 1 year < 2 minutes
Precision
- Signal accuracy target: > 60% hit rate
- Range prediction: 85%+ accuracy (verificado)
- TP/SL classification: 0.94+ AUC (verificado)
- AMD detection: validated against 10+ years historical
Disponibilidad
- ML Engine: 99% uptime (non-critical path for trading)
- Graceful degradation: show stale signals if engine down
- Model versioning: rollback to previous model < 5 min
Datos
- Training data: 10+ anos historicos por activo
- Supported assets: XAUUSD, EURUSD, GBPUSD, USDJPY (extensible)
- Feature refresh: cada candle close
- Model retraining: weekly scheduled
Monitoreo
- Model drift detection (accuracy drop > 5%)
- Prediction confidence distribution tracking
- Signal P&L attribution