- 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>
39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
---
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id: RNF-ML-001
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title: "Requerimientos No Funcionales - ML Signals"
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type: "Non-Functional Requirement"
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epic: OQI-006
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version: "1.0.0"
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created_date: "2026-02-06"
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---
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# RNF-ML-001: Requerimientos No Funcionales - ML Signals
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## Rendimiento
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- Signal generation < 5s per symbol
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- Batch prediction (50 symbols) < 30s
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- Model inference < 500ms per prediction
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- Backtesting 1 year < 2 minutes
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## Precision
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- Signal accuracy target: > 60% hit rate
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- Range prediction: 85%+ accuracy (verificado)
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- TP/SL classification: 0.94+ AUC (verificado)
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- AMD detection: validated against 10+ years historical
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## Disponibilidad
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- ML Engine: 99% uptime (non-critical path for trading)
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- Graceful degradation: show stale signals if engine down
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- Model versioning: rollback to previous model < 5 min
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## Datos
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- Training data: 10+ anos historicos por activo
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- Supported assets: XAUUSD, EURUSD, GBPUSD, USDJPY (extensible)
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- Feature refresh: cada candle close
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- Model retraining: weekly scheduled
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## Monitoreo
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- Model drift detection (accuracy drop > 5%)
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- Prediction confidence distribution tracking
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- Signal P&L attribution
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