Adds full Interactive Brokers order ticket to both the Dashboard cockpit
and the Journal de Bord MtM expanded rows. Each ticket shows the
underlying, computed strike in dollars, estimated expiry date (nearest
Friday), per-leg BUY/SELL CALL/PUT breakdown, order type LIMIT, budget
and target.
Also adds Strike and DTE columns to the MtM table and persists
strike_guidance + expiry_days_at_entry in trade_entry_prices.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Backend:
- DB: add system_logs table (level/source/cycle_id/ticker/message) and
iv_watchlist table (ticker/added_by/is_active); seed builtin 18 tickers
- DBLogHandler attached at startup — all WARNING+ logs auto-persist to DB
- log_system_event() helper for structured manual events
- New router /api/logs: GET with filters (level, source, cycle_id, ticker,
date range), GET /sources, GET /cycles for dropdowns, DELETE /clear
- iv_watchlist now read from DB instead of hardcoded constant; options_vol
watchlist/refresh/bootstrap endpoints all use get_watchlist_tickers()
- New endpoints: POST/DELETE /options-vol/watchlist-tickers/{ticker} to
add/remove tickers; adding triggers background 1-year bootstrap
- auto_cycle: after log_trade_entries(), auto-detect new underlying proxies
not yet in watchlist, add them and bootstrap their IV history
Frontend:
- New page SystemLogs (/logs): log table with level/source/cycle/ticker/date
filters, color-coded rows, expandable JSON details, auto-refresh 30s
- Options Lab: WatchlistManager section — add ticker input, chip list with
builtin/auto/manual color coding, remove button for non-builtins
- Sidebar: Logs Système nav link (ScrollText icon)
- useApi: useSystemLogs, useLogSources, useLogCycles, useClearLogs,
useWatchlistTickers, useAddWatchlistTicker, useRemoveWatchlistTicker
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- iv_engine/options_vol: when get_atm_iv() returns None (yfinance chain unavailable),
fall back to most recent iv_history row so IV Rank is always computable from
bootstrapped data; live vs history source tagged as iv_source field
- Dashboard: build mtmMap from tradeMtmData.trades (trade_entry_prices, cycle auto-log)
keyed by pattern_id; getAddedInfo() falls back to mtmMap so Entrée/Durée columns
populate automatically after each AI cycle without manual portfolio add
- OptionsLab: show '~' prefix and 'IV estimée' label when IV comes from history fallback;
fix near-invisible text-slate-700 on 'Sans historique' section header
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Toggle between Cards (existing) and Grid (new) via icons next to Top N.
Grid view: compact table with score bar, EV, gain, max/cible, profil,
macro bias per row. Click any row to expand inline (full-width) showing
score justification, contra-signals, macro context, and add button.
Added 'Tous' option (topN=0) to show all scored patterns without limit.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- JournalDeBord: trade rows now expand inline (full-width) instead of
PostmortemPanel appearing below the whole table. Click anywhere on a
row to toggle. Period selector extended to 15/30/60/90j.
- Config: added Rétention Journal (30/60/90/180j) and Seuil Maturité
(20/30/35/50%) controls, wired to the Appliquer button.
- Backend: journal_retention_days and maturity_threshold_pct read from
config table; seeded at startup with defaults 90d / 35%. get_status()
now returns both values so Config page can initialise correctly.
- cycle.py: CycleConfigRequest accepts and validates both new params.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Both columns were referenced in queries (reliability, Kelly, calibration,
backtest) but missing from the ALTER TABLE migration block, causing
sqlite3.OperationalError: no such column: pnl_pct on existing VPS DBs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
IV Rank was stuck at 50 for all tickers because the formula returns 50.0
when iv_max == iv_min (not enough historical snapshots). Added:
- bootstrap_iv_history(): downloads 1y of closes per ticker, computes
30d rolling realized vol (annualized), saves each day to iv_history
- POST /api/options-vol/bootstrap-history endpoint (runs in background)
- OptionsLab: auto-detect when IV Rank needs bootstrapping and show
an amber banner with one-click "Initialiser historique" button
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The auto-cycle was saving new IV snapshots to SQLite but not clearing
the in-memory cache in options_vol.py (TTL 1h), so the Options Lab
page kept showing stale IV Rank data until the cache naturally expired.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
- main.py startup: if DB has no openai_api_key but OPENAI_API_KEY env var is set, auto-save it so cycle trigger returns 200 instead of 400
- Config.tsx: move NextRunCountdown outside cs?.last_cycle block so it renders even when no cycle has run yet
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- knowledge.py: trade_line crash when pnl_pct is None in dict
(t.get('pnl_pct',0) returns None if key exists with None value — use 'or 0')
- database.py: cleanup_stale_running_cycles() marks any 'running' cycle
as 'error' on startup (uvicorn reload mid-cycle left status stuck)
- main.py: call cleanup_stale_running_cycles() at startup with warning log
- database.py: _normalize_ticker() converts GPT-4o exchange:symbol format
(NSE:RELIANCE → RELIANCE.NS, BSE:X → X.BO, etc.) so yfinance stops
spamming 404 errors for every MTM request
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- auto_cycle.py: next_run_at now set to future timestamp (now + interval)
instead of current time — was always showing wrong value
- Config.tsx: NextRunCountdown component shows live countdown (updates
every second) + absolute local time, only visible when auto-cycle enabled
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix NameError: len(meaningful) → len(meaningful_mature) (ligne 624)
- _auto_synthesize_knowledge() appelé même si pas assez de trades matures,
pour que le Super Contexte se mette à jour à chaque cycle (gate 6h suffit)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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>
- knowledge.py: classify trades by maturity before building synthesis
prompt; only mature trades (≥35% elapsed) contribute to P&L stats
and conclusions; immature trades listed for transparency only
- Add 6h staleness gate on POST /synthesize (force=true to override)
- System prompt now includes hard timing rule: GPT-4o must not revise
existing conclusions because of newly-added immature trades
- useApi.ts: useSynthesizeKnowledge accepts force boolean param
- SuperContexte.tsx: shows amber notice with age when skipped + offers
"Force quand même" button; success banner uses new response shape
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add ScorePillars: compact 4-pillar mini-bars always visible under score
bar (📰/📅/📈/⚖️ with color-coded fill — instant visual of pillar distribution)
- Add ScoreJustification: replaces old per-click BucketBreakdown with full
text reasoning shown at once — key_catalyst highlighted in yellow callout,
each pillar shows score + GPT-4o comment + all sub-pillars with comments
- Rename expand button to "↳ Justification du score" for clarity
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ai_analyzer: add explicit calibration rules to SYSTEM_SCORER and batch
prompt so GPT-4o produces a spread of scores rather than defaulting
to 50 for all patterns (0-news patterns capped at 35, contra patterns
at 40, high-signal patterns can reach 70-85)
- auto_cycle: add _auto_synthesize_knowledge() called after each auto
portfolio snapshot; skips if last synthesis < 6h old to avoid
redundant GPT-4o calls — Super Contexte now updates automatically
every cycle without manual intervention
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
