8f0235c096
- 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>
28 lines
724 B
Markdown
28 lines
724 B
Markdown
---
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id: US-LTI-003
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title: "Interpretar Senales ML en Lenguaje Natural"
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type: "User Story"
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status: "Backlog"
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priority: "Media"
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epic: OQI-010
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story_points: 5
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created_date: "2026-02-06"
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---
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# US-LTI-003: Interpretar Senales ML en Lenguaje Natural
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## Como
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Un usuario del modulo educativo
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## Quiero
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Que el copiloto me explique las senales ML en terminos simples
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## Para
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Entender por que el modelo sugiere una operacion y aprender trading
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## Criterios de Aceptacion
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- [ ] El LLM traduce confidence scores a niveles de confianza legibles
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- [ ] Explica factores que generaron la senal (indicadores, patrones)
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- [ ] Ofrece contexto educativo cuando se detecta usuario principiante
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- [ ] Incluye disclaimers de riesgo apropiados
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