269 Commits

Author SHA1 Message Date
OpenSquared
915560bc31 feat: upcoming economic releases panel on Calendar page
- eco.py: GET /api/eco/upcoming — estimates next release date per series
  from last stored date + frequency + typical publication lag; returns
  status (imminent/due_soon/upcoming/scheduled/overdue/no_data)
- CalendarPage.tsx: UpcomingPanel component in right sidebar showing
  next expected dates, J-N countdown, last value + direction signal;
  color-coded by urgency (orange=cette semaine, yellow=attendu, blue=ce mois)

Dates are approximate (freq + typical lag), not official FRED schedule.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 16:01:26 +02:00
OpenSquared
b058b7297a fix: use FRED official JSON API (bypasses CloudFlare) + API key UI
- fred_bootstrap.py: switch from CSV graph endpoint (CloudFlare-blocked)
  to api.stlouisfed.org/fred/series/observations JSON API; reads key
  from DB config 'fred_api_key'; returns clear error if key missing
- eco.py: add GET/POST /api/eco/fred-key to check/save the FRED API key
- CalendarPage.tsx: BootstrapPanel shows API key section with status,
  input to paste key + save button, disables Launch if key missing

Free key: fred.stlouisfed.org -> My Account -> API Keys

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 15:47:16 +02:00
OpenSquared
202a8ce97c fix: FRED fetch — add browser User-Agent + print diagnostics to stdout
FRED blocks requests without a valid User-Agent. Added headers matching
a real browser. Also added print() calls so fetch errors appear in
docker logs (logger.warning goes to system_logs table, not stdout).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 15:33:06 +02:00
OpenSquared
d25ca92694 fix: FRED data quality — GDP growth %, CPI/PCE YoY%, ICSA in K
- GDPC1 replaces A191RL1Q225SBEA: compute annualized QoQ growth from
  GDP level ((val/prev)^4 - 1)*100 → displays proper ~2-3% not 31 819
- CPIAUCSL/CPILFESL/PCEPILFE: yoy_pct transform (val/val_12m_ago-1)*100
  → displays 3.x% YoY inflation, not raw index level 334
- ICSA: div1000 transform → displays 226 K claims, not 226 000 K
- delta_absolute flag: pp change for rate/% series, % change for levels
- SurprisePct component: shows 'pp' suffix for %, '%' for K/levels
- Column header renamed from 'Δ%' to 'Δ vs préc.' with tooltip
- Deprecated A191RL1Q225SBEA rows cleaned from DB on next bootstrap
- Warm-up periods: 2yr for yoy_pct, 3yr for qoq_annualized, 1yr others

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 15:16:44 +02:00
OpenSquared
64ff777da6 feat: FRED bootstrap + Calendar page complete rebuild
- backend/services/fred_bootstrap.py: fetch 11 FRED series (PAYEMS, UNRATE, CPI, PCE, FEDFUNDS, ICSA, GDP, HY spread, T10Y2Y, T10Y3M) from public CSV endpoint — no API key needed; computes rolling z-scores and upserts into economic_events table
- backend/routers/eco.py: new /api/eco router with bootstrap (POST + status GET), events list with full filtering (date range, category, series, min z-score, direction, sort/pagination), series catalog, and db status endpoints
- backend/main.py: register eco router
- frontend/src/pages/CalendarPage.tsx: complete rewrite — real data table from /api/eco/events, Bootstrap FRED button with live polling, filter bar (date range, category, series chips, |z| threshold, direction), sort by date/z-score/series, pagination, z-score badges with color coding, sidebar with series inventory + geo alerts + z-score guide

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 14:42:44 +02:00
OpenSquared
325d52b3b9 feat: market events db migration + generation date filter
Database migration:
- Add 'origin' and 'source_refs' columns to market_events ALTER TABLE migration
  (sub_type/actual_value/expected_value/surprise_pct were already there)
- All new tables (macro_gauge_snapshots, ai_desks) created via CREATE TABLE IF NOT EXISTS
  on next init_db() call (container restart)

Backend:
- GET /api/market-events/db-status — health check returning row counts,
  latest dates, and missing columns for all 6 tables needed by the detector
- list_events() now accepts gen_date_from / gen_date_to query params
  filtering by date(created_at) — separate from start_date event date filters

Frontend (MarketEvents.tsx):
- MarketEvent interface: add created_at field
- EventRow: show generation date as MM-DD next to event date
- Extended filters: new ' Date de génération' section with from/to inputs
  filtered independently from the event date range
- Clear-all button includes genFrom/genTo reset

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 14:23:09 +02:00
OpenSquared
d0816fd9ff feat: Sentiment desk — gauge threshold alerts (Option B)
Each macro gauge selected in the Sentiment desk can now be independently
configured with three alert criteria:
- Seuil bas (≤): alert when value crosses below
- Seuil haut (≥): alert when value crosses above
- Variation % (Δ%): alert when N-day % change exceeds threshold

Frontend: GaugeThresholdConfig component — one row per selected gauge,
compact grid layout with enable toggle + 3 numeric inputs.
Stored in config.gauge_thresholds[gauge_id].

Backend: _check_sentiment() extended — after CBOE signals, reads
macro_gauge_snapshots history, checks each enabled gauge threshold,
emits sentiment market_events with options_note for each breach.
Gauge → affected_assets mapping covers all 32 gauge keys.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 13:59:40 +02:00
OpenSquared
27ee4410cf refactor: separate Sentiment and Technical desks — no signal overlap
- Mark 6 price signals (ma_cross, rsi_extreme, bb_squeeze, new_52w_extreme, price_gap, volume_spike) as desk_type=technical so they no longer appear in the Sentiment desk
- Sentiment desk now shows MacroGaugeSelector (32 gauges grouped by bloc: Liquidité, Crédit, Volatilité, Métaux…) instead of the stock/ETF instrument picker
- Sentiment desk instruments seed updated to macro gauge keys (vix, vvix, skew, hyg, dxy, slope_10y3m, gold_copper_ratio)
- Signal init useEffect extended to cover sentiment desk as well as technical

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 13:48:14 +02:00
OpenSquared
85eb864584 feat: macro gauge DB + regime triggers + date-aware instrument snapshot
DB:
- New table macro_gauge_snapshots (daily snapshot of all 28+ gauges + dominant + scores)
- save_macro_gauge_snapshot / get_macro_gauge_snapshot_at / get_macro_gauge_history
- Auto-save once per calendar day on every macro-regime fetch (not just force=True)

API:
- GET /api/market/macro-gauges/at?date=YYYY-MM-DD — nearest snapshot ≤ date
- GET /api/market/macro-gauges/history?days=N

Detector (_check_macro_gauges in Eco Desk):
- Regime transition events (goldilocks→stagflation etc.) with severity scoring
- Yield curve inversion / désinversion (slope_10y3m sign change)
- DXY shock (% change over lookback window)
- Credit stress (HYG drop threshold)
- Gold/Copper ratio regime crossings

InstrumentDashboard:
- macroAtDate state: fetches /api/market/macro-gauges/at when crosshair date ≠ last date
- RegimeCard uses historical macro regime when on a past date
- MacroGaugePanel: full breakdown of all gauges by bloc (liquidité, crédit, énergie...)
  visible only when on a historical date — shows value + change_pct + regime scores bar

AIDesks: added fundamental + sentiment to AIDesk type

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 09:34:35 +02:00
OpenSquared
a12d7a1ef3 feat: 6 AI desks complets — fundamental, report, sentiment (options triggers)
- Fundamental Desk: filtre corporate news (layoffs, M&A, earnings, credit)
  avec prompt dédié + dedup sémantique
- Report Desk: wiring desk config (days, min_importance, system_prompt)
- Sentiment Desk: 5 signaux VIX/SKEW pour options lab
  (vix_level thresholds, vix_spike %, vix_term_structure, vvix_extreme, skew_extreme)
  Chaque event contient options_note actionnable (vente puts, straddles, calendar spreads)
- check_new_market_events() couvre les 6 sources, charge desk configs dynamiquement
- Signal catalog: 12 signaux (7 technical + 5 sentiment), filtrés par desk_type dans UI
- AIDesks.tsx: FundamentalConfig + ReportConfig + SignalToggle filtré par desk type
- 3 nouveaux desks seedés dans init_db (idempotent)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 09:21:29 +02:00
OpenSquared
97706dea7b feat: AI Desks — configurable agent system for news/technical/eco processing
- New ai_desks table with CRUD (get_all/by_type/upsert/delete)
- ai_desks router: REST API + GET /signal-catalog (7 extensible signals)
- News Desk: semantic dedup via AI (±N days window, system_prompt hint)
- Technical Desk: 4 signal detectors driven by desk config
  (ma_cross, rsi_extreme, bb_squeeze, new_52w_extreme)
- 3 more signals in catalog ready to enable: price_gap, volume_spike, macd_crossover
- market_event_detector.py loads desk configs at runtime, falls back to legacy params
- AIDesks.tsx: full editor UI with signal toggles, param sliders, instrument multi-select
- Sidebar: Bot icon + /ai-desks route

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 23:08:14 +02:00
OpenSquared
069b398d75 feat: apply category defaults first then AI adjusts + remove chips
Backend: merge strategy — category defaults are applied as baseline
(ai_generated=0), AI impacts override/extend them (ai_generated=1).
All N category defaults appear in the impacts list; AI covers them
explicitly with event-specific score/direction adjustments.
Prompt: instruct AI to cover ALL default instruments.

Frontend: remove default impact chips under category selector —
they now appear directly in the instrument impacts list.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 22:23:38 +02:00
OpenSquared
06a27e4492 fix: add sub_type to update_market_event SQL — was silently dropped
The UPDATE statement listed all columns except sub_type, so the
AI-matched category auto-set was written to the object but never
persisted to the DB. The category dropdown stayed blank after evaluate.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 22:18:09 +02:00
OpenSquared
4071193385 fix: AI returns type instead of category name — clearer prompt + guard
The AI was returning 'geopolitical' (the event type/family) instead of
a category name like 'Guerre — Moyen-Orient'. Two fixes:
1. Prompt: rename 'Type' → 'Famille', list categories as CAT_N: "name",
   explicit warning not to return a generic type, show valid name examples
2. Code: reject any response that matches a known type string before matching

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 22:14:21 +02:00
OpenSquared
91a448e8c9 fix: robust category matching — normalize dashes/accents + partial match
The AI often returns 'Guerre - Moyen-Orient' (ASCII dash) instead of
'Guerre — Moyen-Orient' (em-dash), causing exact match to fail silently.
Fix: normalize unicode, collapse all dash variants, then try
exact → normalized → partial substring matching.
Also log the raw AI response for debugging, increase max_tokens 1200→2000.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 22:07:56 +02:00
OpenSquared
7eb8c24719 feat: AI category matching — pass all categories to GPT for best-fit selection
Previously: heuristic text matching (sub_type in category.name) — failed
for semantic cases like 'Iran Ceasefire Talks' → 'Guerre — Moyen-Orient'.

Now: all EventCategories are sent in the prompt (name + type + description).
The AI picks matched_category by semantic understanding, returns it in JSON.
- Validates returned name against known categories (case-insensitive)
- Auto-sets event sub_type when AI finds a match and sub_type was empty
- Returns matched_category in evaluate response + shown in UI eval message

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 22:02:47 +02:00
OpenSquared
bf938067a1 fix: cat_name not defined in impact_service evaluate_event_impacts
_find_cat() returned only default_impacts, never the category name.
Now returns (name, defaults) tuple; cat_name → matched_cat_name.
Fixes: 'name cat_name is not defined' on AI evaluate.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 21:55:43 +02:00
OpenSquared
acab69b65c fix: always GROUP BY me.id in market_events list query
The LEFT JOIN on instrument_impacts (added for the evaluated subquery)
generates N rows per event when the event has N impacts. GROUP BY was
only applied when the instrument filter was active — now it's always on.
Fixes: total=2 but list shows 6+ duplicates.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 21:53:14 +02:00
OpenSquared
332d5ad743 fix: evaluated field on event list + abort race condition
- Backend: add evaluated subquery column to list SELECT so each event
  returns evaluated=1/0 (was missing, causing all events to appear
  as unevaluated regardless of filter)
- Frontend: AbortController cancels the previous in-flight fetch when
  a new load fires, preventing stale results from overwriting current
  filter state

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 21:36:12 +02:00
OpenSquared
f71e3be3ff feat: market events filters, no-auto-bootstrap, star label deoverlap
- MarketEvents: date presets (7j/30j/3m/6m/1an/Tout/Perso), instrument
  impact filter (ticker + min score + direction → auto-sort by inst score),
  sort controls (date/score/nom + asc/desc), clear-all button, count bar
- Market events list endpoint: full SQL JOIN rewrite supporting instrument
  filter, date range, origin, sort_by=instrument_score
- Disable auto-bootstrap on startup (macro/eco/categories) — manual only
- CycleActions: bootstrap group (Macro/Eco/Categories) with force checkbox,
  grouped layout (detection / bootstrap / data / ai / portfolio)
- cycle_actions router: /bootstrap-macro, /bootstrap-eco, /bootstrap-categories
  endpoints + group field on all action catalogue entries
- InstrumentChart: greedy row placement for star labels (4 rows × 20px)
  to eliminate horizontal overlap; labels now inline (★ + text)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 21:27:21 +02:00
OpenSquared
0b1fcff49c feat: Market Events — catégories, cleanup sidebar, rename
- Supprime Timeline & ImpactMonitor du routing (redirects /impact + /timeline → /market-events)
- Renomme 'Instrument Snap.' → 'Instrument Analysis' dans la sidebar
- Onglet 'Catégories & Defaults' dans Market Events: CRUD complet (créer/éditer/supprimer)
  chaque catégorie a une table d'impacts par défaut (instrument, sensibilité, direction, notes)
- impact_service: meilleur matching catégorie (sub_type fuzzy + type fallback)
- DB: delete_event_category() + DELETE /api/impact/categories/{name}

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 21:11:24 +02:00
OpenSquared
bd28b6a73a feat: origin tracing on all market_events
- DB: colonne origin (migration + UPDATE heuristique sur données legacy)
- save/update_market_event: persist origin
- Tous les points de création taguent leur origine:
    bootstrap_macro/eco/ma/legacy | detector_news/eco/technical/report | manual
- UI MarketEvents: badge d'origine avec icône + description dans le panneau détail,
  icône tooltip dans la liste gauche, message explicite si pas de source_refs

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 20:58:05 +02:00
OpenSquared
d5da4737ef feat: Market Events admin page — source_refs + per-instrument impacts
- DB: colonne source_refs sur market_events (migration idempotente)
- save/update_market_event: persist source_refs (JSON array de {url,title,source})
- market_event_detector: stocke source_refs + évalue impacts instruments après chaque création
- Nouveau router /api/market-events: CRUD + evaluate + impacts CRUD
- Page MarketEvents.tsx: liste filtrée/triée + panneau détail (sources cliquables,
  tableau impacts par instrument avec score/direction/rationale inline-éditables,
  ajout manuel, bulk-evaluate)
- Sidebar: entrée Market Events (Radio icon)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 18:29:09 +02:00
OpenSquared
9afc01c7f5 feat: isolated cycle action — Check New Market Events
Décompose le cycle en 8 actions appelables individuellement.
Action 1 implémentée : scan de 4 sources (news RSS, surprises FRED,
MA crossovers yfinance, rapports institutionnels) → création de
market_events avec déduplication. UI CycleActions page + sidebar link.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 18:07:38 +02:00
OpenSquared
51a5531454 refactor: align market_events categories with driver types + event stars on chart
- database.py: idempotent migration — calendar→event_calendar, geopolitique→geopolitical,
  macro events classified by name pattern (FOMC/CPI/BOJ/OPEC+→event_calendar,
  NVIDIA→report, rest→fundamental)
- eco_calendar_bootstrap.py: calendar→event_calendar (75 events)
- macro_events_bootstrap.py: all 30 events now carry aligned category + sub_type
  (FOMC×9, CPI×3, BOJ×3, OPEC+×2 → event_calendar ; war/geo×6 → geopolitical ;
   ChatGPT/BTC/PBOC → fundamental ; NVIDIA×2 → report)
- InstrumentDashboard: replace EventTimelineStrip (horizontal bars below chart)
  with EventStarsStrip (★ icons above chart, sized by impact_score, colored by category)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 17:01:07 +02:00
OpenSquared
a68896cf67 feat: Impact Monitor — AI impact evaluation for eco events & geopolitical news
- New DB tables: event_categories (18 bootstrap categories) + instrument_impacts
- impact_categories_bootstrap.py: FOMC/NFP/CPI/GDP/PCE/ISM/BOJ/ECB/BOE/OPEC+ + 7 géopolitical categories with per-instrument sensitivity & direction defaults
- impact_service.py: GPT-4o-mini evaluation (0-1 score, direction, rationale) + monitor data aggregation
- routers/impact.py: GET/POST endpoints for evaluate/bulk/monitor/adjust/categories
- ImpactMonitor.tsx: two-tab page (Évalués / À évaluer), top instruments bar, inline score override modal, category browser
- Startup auto-bootstrap for impact categories
- Route /impact + sidebar nav entry

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 16:26:13 +02:00
OpenSquared
9ed59c5ca2 feat: auto-bootstrap macro + eco events on startup
Both bootstrap_macro_events() and bootstrap_eco_events() are now called
in the FastAPI startup event. Idempotent — skips already-existing events.
Logs how many events were inserted on first run.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 00:13:22 +02:00
OpenSquared
3470205d54 feat: eco calendar bootstrap + driver types + timeline cursor
Backend:
- eco_calendar_bootstrap.py: 75 historical events 2020-2026 (FOMC, NFP,
  CPI, GDP, ISM, BOJ, ECB, BOE) with expected_value/actual_value/
  surprise_pct/unit/absorption_pct fields
- database.py: 5 new columns on market_events (expected_value,
  actual_value, surprise_pct, unit, sub_type) + updated save_market_event
- timeline.py: POST /api/timeline/bootstrap-eco endpoint
- instrument_service.py: _get_relevant_events now returns eco fields
- instruments.json: type field on all 90 drivers across 20 instruments
  (event_calendar | report | geopolitical | fundamental | sentiment | technical)

Frontend (InstrumentDashboard):
- EventTimelineStrip: vertical cursor line tracking crosshair selectedDate
- EventsCard: active-event highlight at hovered date + expected/actual/
  surprise_pct display + absorption progress bar
- DriversPanel: type selector dropdown per driver
- DriverTypeBadge: colored micro-badge on driver labels in strip

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-25 00:07:41 +02:00
OpenSquared
aec9ced74f feat: macro regime + 30 historical events + regime confidence fix
- Add macro_regime (goldilocks/stagflation/recession/etc.) to every instrument snapshot via get_macro_gauges() + score_macro_scenarios()
- RegimeCard now shows global macro cycle section (emoji + label + top-3 scenarios) above technical signals
- Fix _detect_regime() confidence: capped at 85% max; add late-bull (dist_MA200 > 20%) and correction-in-bull (MA50 > MA200 but momentum < -3%) detection so regime no longer locks at 100%
- Add macro_events_bootstrap.py with 30 curated historical events (FOMC 2022-2025, CPI surprises, Ukraine/Hamas/Iran geopolitics, BOJ pivots, Bitcoin ETF, Liberation Day tariffs, SVB crisis, etc.)
- POST /api/timeline/bootstrap-macro endpoint (idempotent, deduplicates by name)
- Fix event date filter in _get_relevant_events(): overlap logic instead of start-only filter — events extending into the chart window are now included
- EventTimelineStrip: add "Signaux Techniques" fallback row for events not matched by any driver keyword (MA crossovers are now always visible)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 23:24:24 +02:00
OpenSquared
aa81598278 feat: driver-based timeline strip, regime signal metrics, drivers editor
- instruments.json: add keywords array to every driver across 20 instruments
  (Fed, BCE, BOJ, OPEC, CPI, AI, EIA, etc.) for event-to-driver matching
- instrument_service.py: add update_instrument_drivers() persisting changes to JSON
  and refreshing in-memory cache
- instruments.py: add PUT /api/instruments/{id}/drivers endpoint (DriverUpdate model)
- InstrumentDashboard:
  * RegimeCard: replace regime score bars with 6-metric signal grid
    (MA50/MA200 position, MA50 slope, MA200 slope, momentum 20j, dist MA200, ATR vol ratio)
    with colour-coded values and contextual sub-labels (Golden cross, Surextension, etc.)
  * EventTimelineStrip: rows now keyed by top-4 instrument drivers (by weight)
    instead of LT/MT/CT; events matched via case-insensitive keyword scan against
    title + description + category; fallback dashed line when no events match
  * DriversPanel: inline edit panel (toggle via Drivers button in header);
    edit label, weight, keywords (comma-separated) per driver; add/remove drivers;
    saves via PUT /api/instruments/{id}/drivers; optimistic local state update

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 22:48:10 +02:00
OpenSquared
418d03254d feat: InstrumentDashboard — event timeline strip + crosshair date-aware cards
- InstrumentChart: onDateHover callback via subscribeCrosshairMove (useRef pattern)
- EventTimelineStrip: 3 rows LT/MT/CT with CSS-% bars aligned to chart X axis
- Cards date-aware: crosshair drives selectedDate; dateTrend + dateSignals computed
  client-side from lookup maps (priceMap/indMap/sortedDates) without extra API calls
- TrendCard: price, RSI, ATR, slopes, momentum, 52W range all at selected date
- RegimeCard: 5 signals recomputed at selected date; regime label from server
- Date badge above cards; blue tint when browsing history, grey on last date
- instrument_service.py: end_date in events; price_data built before events block

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 22:21:04 +02:00
OpenSquared
d47fc8f50d fix: move instruments.json from data/ to config/ — Docker volume was masking /app/data
The docker-compose mounts db_data named volume at /app/data which hid the
instruments.json file baked into the image. Moving to /app/config which is
not volume-overlaid resolves the FileNotFoundError on startup.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 21:42:19 +02:00
OpenSquared
537fea8148 feat: Instrument Snapshot Dashboard — 5-layer synchronized view for 20 instruments
- 20 instruments configured (equity indices, metals, energy, bonds, FX, stocks, crypto)
  each with custom drivers, regime labels, MA periods, event keywords, ai_context
- InstrumentChart: TradingView lightweight-charts candlesticks + MA lines + Bollinger
  + volume histogram + macro event markers overlaid on price
- InstrumentDashboard: regime detection card (scores + signals), trend indicators
  (RSI gauge, MA slopes, momentum, 52W range), events card (links to Timeline),
  AI narrative via GPT-4o-mini (cached by day)
- Backend: instrument_service (OHLCV fetch, indicators, regime scoring, GPT narrative)
  + /api/instruments router (3 endpoints)
- Route: /instruments/:id with selector dropdown, period buttons (3M/6M/1Y/2Y/5Y)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 21:36:39 +02:00
OpenSquared
edfa90c9b7 feat: vertical 3-column timeline + MA regime bootstrap engine
- TimelineVertical: replace horizontal frise with Y=time vertical layout,
  3 columns (Long/Medium/Short), auto-scroll to selected date, sub-columns
  for overlapping events, today/selected-date horizontal lines
- ma_analyzer.py: detect MA50/MA200 crossovers + MA100 slope changes +
  MA20 direction swings on EUR/USD, Brent, Gold, S&P500, US10Y (5y history)
  with 5-bar confirmation, dedup, GPT-4o-mini enrichment, idempotent DB save
- POST /api/timeline/bootstrap-ma endpoint to trigger analysis
- Bootstrap MA button in Timeline page with loading state + result count

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 21:01:01 +02:00
OpenSquared
aeb5233deb feat: frise sub-lanes + event manager + MA indicators + absorption
Frise chronologique:
- Sub-lane stacking (assignSubLanes) — overlapping events se décalent verticalement
- Zone d'overlap semi-transparente sur la période commune entre 2 événements
- Hauteur dynamique selon nb de sub-lanes par niveau
- Événements en cours avec flèche ▶ à droite, gradient de fin
- Tri par start_date pour placement greedy

Event Manager (composant EventManager.tsx):
- Tableau filtrable par niveau (Long/Moyen/Court)
- Edit modal complet : tous les champs + absorption_pct éditable
- Bouton "IA — Enrichir" par événement → POST /api/timeline/events/{id}/ai-enrich
  → GPT-4o-mini suggère absorption_pct + indicateurs pertinents par niveau temporel
- Delete avec confirmation double-clic
- Expand row pour voir description + indicateurs
- Intégré Timeline page via bouton "Gérer événements"

Backend:
- Nouvelles colonnes market_events: absorption_pct + relevant_indicators (ALTER idempotent)
- DELETE /api/timeline/events/{id}
- POST /api/timeline/events/{id}/ai-enrich

Snapshot Externe:
- AbsorptionBar par événement dans cellule Géopolitique
- MA indicators : fetch 200j history, compute MA10/MA20/MA100 per level (short/med/long)
- Affichage prix vs MA + % écart dans CellMarkets
- Si relevant_indicators configurés sur l'event → utilise ces symbols au lieu des défauts
- Calendar : horizons exclusifs (short 0-7j, medium 8-30j, long 31-90j) — bug corrigé

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 20:31:57 +02:00
OpenSquared
c6178c14d5 feat: Timeline Navigator — contexte historique 3 temporalités COVID → aujourd'hui
- 2 nouvelles tables SQLite : market_events + timeline_context
- 32 événements historiques seedés (long/medium/short de feb 2020 à juin 2026)
- timeline_service.py : bootstrap, get_events_for_date, génération commentaires GPT-4o-mini
- /api/timeline router : GET /day/{date}, GET /events, POST /generate/{date}, POST /bootstrap
- Timeline.tsx : navigateur date avec strip visuel, 3 panneaux contextuels, catalogue d'événements
- Sidebar : entrée Timeline avec icône Layers

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 17:45:35 +02:00
OpenSquared
281b7e30ba fix: forward curve — stop 40+ yfinance errors per cycle, batch downloads
Two root causes in the logs:
1. fetch_forward_curves() tried 5 offsets × 8 commodities = 40 individual
   yfinance requests for monthly contracts (CLN26, GCQ26, etc.) that Yahoo
   Finance does not support — generating ERROR storm and triggering hard
   rate limiting that cascades onto front-month CL=F/GC=F calls used by
   the main cycle.
2. Ticker format lacked exchange suffix (.NYM/.CMX/.CBT).

Fix: replace the per-ticker loop with two batch yfinance.download() calls
(one for all 8 front-months, one for all deferred candidates). Failed
deferred lookups are logged at DEBUG level and reported as structure='unknown'
rather than ERROR, since Yahoo Finance does not expose monthly commodity
contracts reliably. Added 1s sleep between batches to avoid rate spiking.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 08:30:15 +02:00
OpenSquared
c9f7757a86 fix: COT fetch returns 0 — CFTC exchange names changed since 2022
Replace per-endpoint market name matching with unified contract code
lookup on the legacy Socrata endpoint (6dca-aqww.json). COMEX became
"COMMODITY EXCHANGE INC.", CBOT became "CHICAGO BOARD OF TRADE", and
the disaggregated endpoints stopped receiving Natural Gas / financial
instruments after Feb 2022. Contract codes (067651, 023651, etc.) are
stable across rebranding. Fetch now returns 19/19 markets dated
2026-06-16.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 18:53:51 +02:00
OpenSquared
5005324653 fix: SQLite UNIQUE constraint on forward_curve_data — expressions not allowed
Replace UNIQUE(asset, DATE(fetched_at)) with dedicated fetch_date column
+ UNIQUE(asset, fetch_date). SQLite prohibits function calls in inline
UNIQUE/PRIMARY KEY constraints.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 18:07:29 +02:00
OpenSquared
3b7fa35456 feat: Specialist Desks v2 — COT, Forward Curves, Surprise Index, Hawk/Dove scorer
- COT Positioning: CFTC disaggregated + financial futures (19 markets) via Socrata free API
  net MM position % OI + weekly change stored in cot_data table
- Forward Curves: yfinance front-month vs +3M slope (8 commodities)
  contango/backwardation/flat stored in forward_curve_data table
- Surprise Index: consensus_estimate + actual_value on specialist_reports
  auto-computes surprise_score = actual - consensus on save
- Hawk/Dove Text Scorer: GPT-4o-mini endpoint for CB statements
  score -1..+1, label, summary, key_phrases (forex/bonds: hawk/dove; commodities: bull/bear)
- AI context injection: COT net positioning, forward curve structure,
  surprise scores, upcoming consensus estimates injected into all desk blocks
- Frontend: COT panel (net% bars), Forward Curves panel, SurpriseInput
  on report cards, Hawk/Dove scorer in forex/bonds config tab
- auto_cycle.py: non-blocking COT + curve refresh before each cycle

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 18:00:46 +02:00
OpenSquared
70a9e2b569 fix: inject specialist desks context into pattern suggestion prompt
suggest_patterns_from_market_context() was missing the specialist desk
block that score_patterns_with_context() already received. All 7 desks
(forex, metals, agri, energy, indices, crypto, bonds) with their
fundamentals, macro sensitivity, and upcoming reports are now injected
so the AI can generate targeted patterns per desk rather than generic ones.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 13:41:50 +02:00
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
8d257adf3d fix: scheduler next_run accounts for elapsed time since last cycle
On restart the scheduler was counting interval_hours from now, ignoring
when the last cycle actually ran. It now reads last_run_at (in-memory or
DB) and deducts elapsed time so a restart doesn't silently push the next
fire by a full interval.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 10:52:54 +02:00
OpenSquared
2f9d067a94 fix: InstitutionalReports — signal-aware category filter + Agri/Crypto/Bonds/Indices pills + Specialist Desks link
- Backend: category filter now ORs signal column so multi-category reports (category='multi') appear when filtering by Forex/Energy/Metals/Indices — fixes blank results
- Frontend: category pills expanded to match desk taxonomy (agri, crypto, bonds, indices added; equities kept for compatibility)
- Frontend: banner pointing to /specialist-desks clarifies the split between auto-fetched reports and manual desk report scheduling

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 10:13:40 +02:00
OpenSquared
2fb683eec5 feat: Specialist Desks — per asset-class fundamental configs + report catalogue
- 7 pre-seeded desks (Forex, Metals, Agri, Energy, Indices, Crypto, Bonds)
  each with default fundamental drivers, macro regime sensitivities and
  price delta thresholds
- Global report catalogue (specialist_reports) fully manual — add any report
  including non-calendar ones (e.g. Cocoa Grinding Report, ICCO)
- Many-to-many report ↔ desk linking (report_desk_links table)
- 12 default reports pre-seeded (COT, EIA, WASDE, FOMC, ECB, CPI, NFP…)
- AI scorer injects SPECIALIST DESK context block for asset classes present
  in each scoring batch (upcoming reports, key drivers, regime sensitivity)
- /specialist-desks page: desk sidebar + fundamentals editor + macro
  sensitivity tag editor + reports tab + global reports catalogue + modal
  to create/edit any report with desk assignment

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-23 09:57:18 +02:00
OpenSquared
f2dd859ba0 fix: PatternLab save UX — color-coded toasts + meaningful error feedback
- handleSave now shows a red toast "Lancez d'abord un backtest" instead of
  silently returning when activeRun is null (was completely invisible to user)
- All toasts now color-coded: green (emerald) for success, red for errors
- list_runs now includes context_snapshot so market data table shows when
  loading a historical run from the right panel

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 22:30:47 +02:00
OpenSquared
33097e1812 fix: custom tickers now placed in their natural asset-class tab
- Detect yfinance quote_type (CURRENCY→forex, FUTURE→energy, INDEX→indices,
  ETF→etfs, EQUITY→equities) when adding a custom ticker and persist it in
  market_watchlist.asset_class
- get_all_quotes() merges custom tickers into their proper group (e.g. EURUSD=X
  appears under Forex) instead of always under a separate "Custom" group
- "Custom" tab only shows tickers whose type couldn't be detected
- Add market_watchlist.asset_class migration; ensure backtest_lab_runs and
  market_watchlist are always created at init_db() time

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 22:11:31 +02:00
OpenSquared
c3ea0b7f8c feat: dynamic market ticker watchlist (Markets page)
Add ability to add/remove custom tickers (e.g. EURCHF=X) on the
Markets & Prices page without editing config. Tickers are validated
via yfinance, persisted in market_watchlist SQLite table, merged into
the quotes feed as a 'custom' group, and shown in a dedicated tab
with per-card remove buttons.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 21:54:58 +02:00
OpenSquared
78c60d5254 feat: Pattern Lab Discover + fix history run display
Fix: history runs now always show results — create synthetic selected preset
from run data when no matching preset found (was broken for custom events).
Also force mode='events' and reset matchResults on history load.

Discover tab: new "Discover" panel in left sidebar (AI knowledge search).
- GPT-4o generates 6 matching events from a free-text query (date, assets, hint)
- Confidence score + category badge per event
- Click → pre-fills experiment form exactly like a preset → ready to Run
- Backend: POST /api/pattern-lab/discover (DiscoverRequest, sorted by confidence)
- Frontend: useDiscoverEvents hook + DiscoveredEvent type + Discover UI with
  Enter-to-search, spinner, empty states

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 21:36:00 +02:00