Adds a one-click upload+parse flow for the TE calendar page HTML.
The TE page (tradingeconomics.com/calendar) contains ~1000 events with
actuals, previous, and analyst consensus (forecast) values.
- Add backend/services/te_html_parser.py:
- parse_html(html): extracts events from <tr data-event> rows
- Maps 14 countries to major currencies (all Eurozone → EUR)
- Impact inferred from data-category (high/medium/low)
- Times converted from Europe/Zurich (CET/CEST) → UTC via zoneinfo
- Actual=td[5], Forecast=td[7] (analyst consensus), Previous=td[6]
- Add POST /api/eco/te-html-upload (saves file to /tmp)
- Add POST /api/eco/te-html-import + GET /status (background parse)
- Add "Import TE HTML" upload button in CalendarPage ImportPanel
Tested locally: 993 events parsed, 854 with forecast, 861 with actual,
date range 2025-03-31 → 2026-06-17, timezone conversion verified.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
FXStreet calendar.fxstreet.com/eventdate/ returns ~300-400 events over
6 weeks including consensus forecasts, no authentication required.
FF HTML scraper is blocked by Cloudflare even on residential IPs.
FMP free plan returns 403 on /economic_calendar (requires Starter plan).
- Add backend/services/fxstreet_calendar.py: single GET request returning
all major currencies; maps Volatility 0/1/2 → low/medium/high
- Add POST /api/eco/fxs-sync + GET /api/eco/fxs-sync/status endpoints
- Add FXStreet to daily background sync in main.py (runs every 24h)
- Add "Sync Upcoming (FXStreet)" button in ImportPanel (no key needed)
- Fix FMP 403 error message to say endpoint requires Starter plan
- Keep FMP panel for users who upgrade to FMP Starter ($14.99/month)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
TE costs $199/month and its Economic Calendar is not in the free tier.
FMP (Financial Modeling Prep) offers a free API key (250 req/day) with
full economic calendar coverage including consensus estimates (forecasts).
- Add backend/services/fmp_calendar.py: fetches upcoming events from
GET /api/v3/economic_calendar (one request, all countries, date range)
- Replace /api/eco/te-key + te-sync endpoints with fmp-key + fmp-sync
- Update daily background sync in main.py to use fmp_calendar
- Replace TEPanel with FMPPanel in CalendarPage.tsx (link to FMP docs)
- Remove broken Cloudflare-blocked FF HTML scrape button from ImportPanel
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- New services/te_calendar.py: fetch_upcoming(weeks_ahead) calls TE API
for 9 countries (USD/EUR/GBP/JPY/AUD/CAD/NZD/CHF/CNY), converts to
ff_calendar format, upserts with source='te_api'
- New endpoints: GET/POST /api/eco/te-key, POST /api/eco/te-sync,
GET /api/eco/te-sync/status
- Daily scheduler in main.py: FF live sync + TE sync (if key configured)
run 60s after startup then every 24h
- CalendarPage: TEPanel with key input (password field, Enter to save,
"Get free key" link to tradingeconomics.com/api/login),
"Sync upcoming (6 weeks)" button with polling
FF HTML scraper kept as fallback but TE API is the primary source
for upcoming forecasts (no Cloudflare blocking on server IPs).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Backend: /api/eco/calendar accepts date_from + date_to query params
when period=custom; get_calendar() uses them directly without override
Limit raised to 5000 for wide date ranges
- Frontend: "Custom" tab at end of period list; shows two date inputs
(from/to) with Apply button; displays day count; fetches on Apply click
(not on every keystroke to avoid hammering the API)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- scrape_upcoming(weeks_ahead=5) in ff_calendar.py:
fetches forexfactory.com/calendar?week=... HTML for N weeks ahead,
parses calendar__table (date/time/currency/impact/event/forecast/previous),
converts ET times to UTC, upserts into ff_calendar
- Daily scheduler in main.py: runs scrape_upcoming at startup (after 30s delay)
then every 24h — no manual action needed
- New endpoints: POST /api/eco/ff-scrape?weeks=5, GET /api/eco/ff-scrape/status
- CalendarPage: "Scrape Upcoming (5w)" button (indigo) with polling + result
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove count>0 guard — import runs regardless of existing rows (idempotent upsert)
- After successful import, CSV is deleted from /app so next restart skips cleanly
- No more need to manually trigger import or remove CSV from git separately
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- forex_factory_cache.csv moved to backend/ (Docker build context)
→ available at /app/forex_factory_cache.csv inside container
- main.py startup: auto-imports CSV in background thread if ff_calendar empty
(idempotent — skips if rows already present)
- CSV path candidates: /app/ (Docker) → /tmp/ (upload) → local dev paths
- CalendarPage: remove Upload CSV + Import into DB buttons
→ replaced by auto-import status indicator + Sync Live only
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Backend:
- ff_calendar: add series_id column (migration) + FF_TO_FRED mapping dict
(NFP→PAYEMS, CPI→CPIAUCSL, Jobless Claims→ICSA, GDP→GDPC1, FEDFUNDS, PCE)
- import_csv + sync_live now populate series_id on each FF event
- New GET /api/eco/series/{id}/history: FRED time series + linked FF events
(surprises, forecast, actual) merged by date — enables context queries
Frontend:
- New MacroSeriesPage.tsx: sidebar with 11 FRED series grouped by category,
recharts ComposedChart with area + z-score surprise reference lines (|z|≥1.5),
KPI cards (latest/prev/min/max), FF events table (actual vs forecast coloring),
z-score bar chart for recent surprises, range selector (1Y/2Y/5Y/10Y/All)
- Route /macro-series + Sidebar entry "Macro Series"
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add POST /api/eco/ff-upload to receive CSV from browser (saves to /tmp)
- _find_csv() checks /tmp, /app, project root — works local + Docker
- _run_ff_import now takes explicit csv_path parameter
- Frontend: Upload CSV button (file input) → uploads to server first,
then Import into DB — with upload progress messages
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- New ff_calendar table (event_date, time, currency, impact, actual, forecast, previous)
- New service ff_calendar.py: bulk CSV import (83K events 2007-2025) + live sync
from faireconomy.media JSON endpoint (this week / next week)
- New API endpoints: POST /api/eco/ff-import, POST /api/eco/ff-sync,
GET /api/eco/calendar (period filter), GET /api/eco/ff-stats
- CalendarPage.tsx full rewrite: period tabs (Recent/Today/Tomorrow/This Week…),
currency flags filter, impact filter, unified date-grouped table with
Time·Flag·Currency·Impact·Event·Actual·Forecast·Previous columns,
green/red actual vs forecast, TODAY badge, auto-refresh 60s
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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>
- 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>
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>
- 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>
- 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>
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>
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>
- 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>
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>
- 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>
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>
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>
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>
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>
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>
_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>
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>
- 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>
- 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>
- 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>
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>
- 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>
- 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>
- 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>
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>
- 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>
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>
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>
