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Author SHA1 Message Date
OpenSquared
91f12e177f feat: pattern calibration — progressive AI→observed expected_move blending 
DB (database.py):
- 3 new columns on custom_patterns: calibrated_expected_move, calibration_weight, observed_avg_win_pct
- update_bayesian_posteriors() now also computes credibility blend w=n/(n+5):
  calibrated = (1-w)*ai_estimate + w*observed_avg_win_pct (only when wins exist)
- log_trade_entries() prefers calibrated_expected_move when w>10%
- get_calibration_summary() returns per-pattern state (source: pure_ai/early/mixed/data_driven)

Backend (patterns.py, auto_cycle.py):
- GET /api/patterns/calibration endpoint
- calibration_report block in cycle report: counts by source, avg weight, per-pattern detail

Frontend (PatternExplorer.tsx, RapportIA.tsx, useApi.ts):
- MaturityBadge on each PatternCard: blend bar (AI→observed), win rate, AI estimate vs calibrated
- usePatternCalibration hook
- Cycle report: calibration section with global bar + per-pattern table (weight%, n_trades, WR, AI→calibrated)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-23 12:38:16 +02:00
OpenSquared
a630cdc708 feat: Find Similar + Merge in Pattern Library 
Backend (patterns.py):
- POST /api/patterns/find-similar — GPT-4o-mini compares a library pattern
  against all others; returns merge_as_instance | counter_scenario | new_pattern
- POST /api/patterns/merge — full transactional merge: remaps pattern_id in
  pattern_score_history, trade_entry_prices, ai_reasoning_traces, ai_call_logs,
  skipped_trades; unions historical_instances (dedup); sums backtest counters;
  deletes the discarded pattern

Frontend (PatternExplorer.tsx + useApi.ts):
- ScanSearch button on each non-builtin card triggers find-similar
- Inline result panel: duplicate → merge CTA with confirmation + destructive warning
  counter_scenario → apply regime_tag CTA; new_pattern → green "unique" badge
- useFindSimilarPattern + useMergePatterns hooks invalidate all-patterns on success

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-23 12:13:33 +02:00
OpenSquared
a2315c3b78 feat: inline edit for patterns in library (name, description, category, direction, regime) 
- Backend: PATCH /api/patterns/custom/{id} — partial update, only provided fields changed
- useApi.ts: usePatchPattern mutation hook
- PatternCard: pencil icon (non-builtin only) → edit mode with inline inputs for name, description, direction (select), category, and #regime; ✓/✗ buttons to save or cancel; card border highlights blue while editing

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-22 21:13:34 +02:00
OpenSquared
5ff5006dec feat: add purge-all for Pattern Library + clarify Trade Ideas in Data Management 
Backend: DELETE /api/patterns/purge-all — removes all custom + backtested patterns
(source != 'builtin'), leaves Pattern Lab run history intact.

Frontend Config > Data Management:
- New PurgeButton for Pattern Library (custom_patterns table)
- Updated note: Trade Ideas are computed live from the Pattern Library (no separate table),
  so purging patterns resets trade idea generation on next cycle.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-22 18:42:11 +02:00
OpenSquared
10ffc345d6 feat: Pattern Explorer — taxonomy tree + 23 historical patterns + instrument lens 
- PatternExplorer.tsx: new page with two views:
    • Tree View — 6-root taxonomy (geopolitical, monetary_policy, economic,
      commodity, risk_off, market_structure) with collapsible sub-nodes;
      pattern cards appear on node selection
    • Instrument Lens — search any ticker (e.g. GLD, FXE) to see every
      pattern + scenario that references it, with matching trades highlighted
- geo_analyzer.py: PATTERN_TAXONOMY tree constant + taxonomy_path on all
  patterns; 15 new documented patterns P009-P023 (BoJ YCC, SVB crisis,
  Taiwan semis, OPEC cuts, Fed pivot, Debt ceiling, Iran nuclear, DPRK,
  VIX backwardation, ECB surprise, Extreme Fear contrarian, S. China Sea,
  European energy, CPI hot print, Flash crash)
- patterns.py: GET /api/patterns/taxonomy, GET /api/patterns/by-instrument
- database.py: taxonomy_path migration + seed_builtin_patterns updates path
- App.tsx: /patterns → PatternExplorer, /patterns/edit → PatternEditor

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-22 16:42:45 +02:00
OpenSquared
f09c5b8ee7 feat: Phase 2 — Pattern Reliability, Contre-thèses & Calibration probabiliste 
Sprint 2.1 — Pattern Reliability Score
- database.py: get_pattern_reliability() — win_rate × log(n+1) sur trades matures (≥35% horizon)
- database.py: get_all_pattern_reliability_map() pour injection rapide dans les prompts
- ai_analyzer.py: inject reliability_map dans suggest_patterns (patterns fiables mis en avant)
- auto_cycle.py: charge reliability_map avant suggestion et le passe au suggéreur
- routers/analytics.py: GET /api/analytics/reliability
- PatternEditor.tsx: ReliabilityBadge sur chaque card + usePatternReliability hook
- useApi.ts: usePatternReliability, useCalibration hooks

Sprint 2.2 — Contre-thèses & Invalidation Triggers
- database.py: migration ALTER TABLE — counter_thesis, invalidation_trigger, invalidation_probability
- database.py: save_custom_pattern() persiste les 3 nouveaux champs
- ai_analyzer.py: counter_thesis + invalidation_trigger + invalidation_probability dans le JSON schema
- auto_cycle.py: détection automatique des triggers d'invalidation contre les news (keyword match)
- routers/analytics.py: GET /api/analytics/invalidation-alerts
- PatternEditor.tsx: affichage contre-thèse dans les cards + champs dans le formulaire
- PatternEditor.tsx: affichage dans AiSuggestModal (suggestions IA)
- routers/patterns.py: PatternRequest inclut les 3 nouveaux champs

Sprint 2.3 — Calibration probabiliste & Demi-vie KB
- database.py: migration — predicted_probability sur pattern_score_history
- database.py: save_pattern_scores() stocke probability du pattern à chaque scoring run
- database.py: get_calibration_data() — Brier score + buckets de calibration par décile
- database.py: expires_at + confidence_decay_days sur knowledge_base
- database.py: decay_kb_confidence() — decay automatique + archivage à 0
- auto_cycle.py: decay_kb_confidence() appelé au début de chaque cycle (non-bloquant)
- routers/analytics.py: GET /api/analytics/calibration + POST /api/analytics/kb/decay
- frontend/src/pages/Analytics.tsx: nouvelle page — tableau fiabilité + calibration Brier
- App.tsx + Sidebar.tsx: route /analytics + entrée menu

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-17 16:50:53 +02:00
OpenSquared
d256b65d30 Initial commit — GeoOptions Intelligence Cockpit v2.0 
Stack: FastAPI + React/TypeScript + SQLite + GPT-4o
Features: Radar géopolitique, Marchés, Régime Macro, Journal de Bord MTM,
Rapport IA, Super Contexte (base de raisonnement évolutive), Boucle feedback IA.
Deploy: Docker + docker-compose + nginx pour openfin.open-squared.tech

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-06-16 20:29:59 +02:00