OpenSquared
91f12e177f
feat: pattern calibration — progressive AI→observed expected_move blending
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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
dcbc9f19fc
feat: translate all UI strings to English for international release
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Complete French→English translation across all frontend pages and backend
services — every label, button, header, empty state, toast, and nav item
is now in English. Build verified clean (tsc + vite). No i18n library
added; direct string replacement throughout.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-06-22 09:06:37 +02:00
OpenSquared
3ee39d5f08
feat: options technical agent — IV/skew/term structure validation per trade
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- New options_technical_agent.py: rule engine (IVR, skew, term structure, flow)
+ GPT-4o narrative per trade; verdict OK/WARN/ALERT + fit_score
- options_trade_assessments table in DB for Journal badge persistence
- auto_cycle.py step 5.2: assess newly logged trades after log_trade_entries;
results embedded in cycle report
- suggest_patterns_from_market_context: +iv_context param + explicit IV→strategy
rules in prompt (IVR<30%→Long, 30-60%→Spread, >60%→no naked long, >80%→short)
- Pre-fetch iv_context at step 1.9 so suggestion step gets strategy rules
- reports.py: /api/reports/assessments/latest + /assessments/{run_id} endpoints
- RapportIA.tsx: "Validation Technique Options" section with per-trade IVBar,
VerdictBadge, issues list, GPT-4o analysis, optimal strategy suggestion
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-06-20 09:36:35 +02:00
OpenSquared
e2d5bebef4
feat: Rapport de Cycle — auto-généré à chaque run avec contexte IA, delta, PnL/VaR snapshot
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-06-20 07:57:41 +02:00
OpenSquared
a3fb486477
feat: delete AI reports, Super Contexte versions, and KB entries
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- database.py: add delete_ai_report(), delete_reasoning_state(), delete_kb_entry()
- reasoning.py: DELETE /api/reasoning/reports/{id}
- knowledge.py: DELETE /api/knowledge/history/{id} and /entries/{id}
- useApi.ts: useDeleteAiReport, useDeleteReasoningState, useDeleteKbEntry hooks
- RapportIA.tsx: trash icon on hover in archived reports sidebar
- SuperContexte.tsx: trash icon on hover for history versions and KB entries;
both propagate onDelete through CategorySection down to KbEntry
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-06-17 00:10:41 +02:00
OpenSquared
d256b65d30
Initial commit — GeoOptions Intelligence Cockpit v2.0
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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
