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feat: driver-based timeline strip, regime signal metrics, drivers editor

Browse Source 
- 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>
This commit is contained in:
OpenSquared
2026-06-24 22:48:10 +02:00
parent 418d03254d
commit aa81598278
4 changed files with 635 additions and 579 deletions
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520
backend/config/instruments.json
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@@ -8,25 +8,20 @@
"exchange": "CBOE",
"category": "equity_index",
"currency": "USD",
"description": "US large-cap equity benchmark",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "US large-cap equity benchmark — 500 plus grandes capitalisations américaines",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.9},
{"key": "earnings_growth", "label": "Earnings Growth", "weight": 0.85},
{"key": "real_rates", "label": "Real Rates", "weight": 0.75},
{"key": "liquidity", "label": "Global Liquidity", "weight": 0.7},
{"key": "credit_spreads", "label": "Credit Spreads HY", "weight": 0.6}
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.9, "keywords": ["FOMC","Fed","Federal Reserve","Powell","taux directeur","pivot","dot plot","QT","QE","taux Fed"]},
{"key": "earnings_growth", "label": "Earnings Growth", "weight": 0.85, "keywords": ["Earnings","EPS","bénéfices","résultats","Earnings Season","reporting","profits"]},
{"key": "real_rates", "label": "Real Rates", "weight": 0.75, "keywords": ["taux réels","TIPS","real yields","breakeven","inflation","CPI","PCE"]},
{"key": "liquidity", "label": "Global Liquidity", "weight": 0.7, "keywords": ["liquidité","liquidity","QE","QT","bilan Fed","repo","M2","conditions financières"]},
{"key": "vix", "label": "VIX / Fear", "weight": 0.6, "keywords": ["VIX","volatilité","vol spike","hedging","protection","skew","put","peur","fear"]}
],
"regime_labels": ["Risk-On Bull", "Risk-Off Bear", "Stagflation", "Rate Shock", "Recovery"],
"event_keywords": ["FOMC", "CPI", "NFP", "GDP", "Earnings Season", "Fed Chair"],
"related_assets": ["SPX", "SPY", "QQQ", "ES"],
"correlation_instruments": ["QQQ", "TLT", "HYG", "VXX"],
"ai_context": "SPY tracks the S&P 500 (US large-cap benchmark). Bullish on: dovish Fed, strong earnings, liquidity expansion. Bearish on: rate hikes, recession, credit events. Watch: VIX, HYG spreads, earnings."
"event_keywords": ["FOMC","CPI","NFP","GDP","Earnings Season","Fed Chair","VIX"],
"related_assets": ["SPX","SPY","QQQ","ES"],
"correlation_instruments": ["QQQ","TLT","HYG","VXX"],
"ai_context": "SPY tracks the S&P 500. Bullish: dovish Fed, strong earnings, liquidity expansion. Bearish: rate hikes, recession, credit events. Watch: VIX, HYG spreads, FOMC."
},
{
"id": "QQQ",
@@ -36,25 +31,20 @@
"exchange": "NASDAQ",
"category": "equity_index",
"currency": "USD",
"description": "US large-cap tech and growth benchmark",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "US large-cap tech and growth benchmark — 100 plus grandes valeurs Nasdaq",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.9},
{"key": "earnings_tech", "label": "Tech Earnings", "weight": 0.85},
{"key": "real_rates", "label": "Real Rates", "weight": 0.8},
{"key": "ai_capex", "label": "AI Capex", "weight": 0.8},
{"key": "dollar", "label": "Dollar Index", "weight": 0.5}
{"key": "real_rates", "label": "Real Rates", "weight": 0.9, "keywords": ["taux réels","TIPS","real yields","FOMC","Fed","CPI","breakeven"]},
{"key": "ai_capex", "label": "AI Capex", "weight": 0.85, "keywords": ["IA","AI","Nvidia","Microsoft","capex tech","data center","GPU","intelligence artificielle","ChatGPT"]},
{"key": "megacaps", "label": "Mégacaps GAFAM", "weight": 0.8, "keywords": ["GAFAM","Apple","Meta","Alphabet","Amazon","Microsoft","earnings tech","Big Tech","résultats tech"]},
{"key": "growth", "label": "Croissance US", "weight": 0.75, "keywords": ["croissance","GDP","récession","NFP","emploi","PMI","croissance économique"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.5, "keywords": ["Dollar","DXY","dollar index","EUR/USD","devise"]}
],
"regime_labels": ["Tech Bull (AI-Driven)", "Tech Bear", "Rate Compression", "Earnings Crash", "Recovery"],
"event_keywords": ["FOMC", "Big Tech Earnings", "CPI", "AI", "Rate"],
"related_assets": ["QQQ", "NDX", "NQ"],
"correlation_instruments": ["SPY", "TLT", "NVDA", "AAPL"],
"ai_context": "QQQ tracks the Nasdaq 100 (tech/growth benchmark). Bullish on: dovish Fed, AI capex boom, strong Big Tech earnings. Bearish on: rate hikes, earnings misses, AI regulation. Watch: real yields, mega-cap earnings reports."
"event_keywords": ["FOMC","Big Tech Earnings","CPI","AI","Rate","NVDA","AAPL"],
"related_assets": ["QQQ","NDX","NQ"],
"correlation_instruments": ["SPY","TLT","NVDA","AAPL"],
"ai_context": "QQQ tracks Nasdaq 100. Bullish: dovish Fed, AI capex boom, Big Tech earnings. Bearish: rate hikes, earnings misses, AI regulation. Watch: real yields, mega-cap earnings."
},
{
"id": "IWM",
@@ -64,24 +54,19 @@
"exchange": "NYSE",
"category": "equity_index",
"currency": "USD",
"description": "US small-cap equity benchmark",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "US small-cap equity benchmark — 2000 petites capitalisations américaines",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "credit_conditions", "label": "Credit Conditions", "weight": 0.85},
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.8},
{"key": "gdp_growth", "label": "GDP Growth", "weight": 0.75},
{"key": "dollar", "label": "Dollar Index", "weight": 0.6}
{"key": "gdp_growth", "label": "Croissance US", "weight": 0.85, "keywords": ["GDP","PIB","croissance US","NFP","emploi","récession","PMI","domestic growth"]},
{"key": "credit", "label": "Crédit & Spreads", "weight": 0.8, "keywords": ["crédit","credit","HY","high yield","spreads","LBO","conditions de crédit","credit crunch"]},
{"key": "regional_banks", "label": "Banques Régionales","weight": 0.75, "keywords": ["banques régionales","SVB","FDIC","banque","banking","bank failure","crédit bancaire"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.6, "keywords": ["Dollar","DXY","dollar fort","USD strength"]}
],
"regime_labels": ["Small Cap Expansion", "Credit Crunch Squeeze", "Risk-Off", "Recovery", "Neutral"],
"event_keywords": ["FOMC", "Credit", "GDP", "NFP", "Rates"],
"related_assets": ["IWM", "RTY", "RUT"],
"correlation_instruments": ["SPY", "HYG", "TLT"],
"ai_context": "IWM tracks the Russell 2000 (US small-cap). Heavily credit-sensitive — bullish when credit conditions loosen and domestic growth accelerates. Bearish on credit tightening, recession fears, dollar strength (imported cost pressure). Watch: HYG spreads, regional bank health."
"event_keywords": ["FOMC","Credit","GDP","NFP","Rates","Regional Banks"],
"related_assets": ["IWM","RTY","RUT"],
"correlation_instruments": ["SPY","HYG","TLT"],
"ai_context": "IWM tracks Russell 2000. Heavily credit-sensitive. Bullish: credit loosening, domestic growth. Bearish: credit tightening, recession, dollar strength. Watch: HYG spreads, regional bank health."
},
{
"id": "EEM",
@@ -91,24 +76,19 @@
"exchange": "NYSE",
"category": "equity_intl",
"currency": "USD",
"description": "MSCI Emerging Markets large-cap benchmark",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "MSCI Emerging Markets — grandes capitalisations des marchés émergents",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "dollar_index", "label": "Dollar Index", "weight": 0.9},
{"key": "china_growth", "label": "China Growth", "weight": 0.85},
{"key": "em_flows", "label": "EM Flows", "weight": 0.75},
{"key": "commodities", "label": "Commodities", "weight": 0.7}
{"key": "dollar_index", "label": "Dollar Index", "weight": 0.9, "keywords": ["Dollar","DXY","USD","dollar index","dollar fort","faible dollar"]},
{"key": "china_growth", "label": "Chine / PBoC", "weight": 0.85, "keywords": ["China","Chine","PBOC","PBoC","PIB chinois","Xi","immobilier chinois","stimulus Chine","relance Chine"]},
{"key": "em_flows", "label": "Flux EM", "weight": 0.75, "keywords": ["EM","émergents","emerging","flows","flux","capitaux émergents"]},
{"key": "commodities", "label": "Matières Premières","weight": 0.7, "keywords": ["matières premières","commodities","minerai","pétrole","métaux","commodité"]}
],
"regime_labels": ["EM Growth Rally", "Dollar Squeeze", "China Risk-Off", "Commodity Lift", "Neutral"],
"event_keywords": ["China GDP", "Dollar", "EM", "PBOC", "Commodities"],
"related_assets": ["EEM", "EM", "CNY", "China"],
"correlation_instruments": ["GLD", "USO", "EURUSD=X"],
"ai_context": "EEM tracks MSCI Emerging Markets. Dollar weakness and China growth are the dominant drivers. Bullish on: PBOC stimulus, commodities rally, weak USD. Bearish on: Fed tightening, China slowdown, geopolitical trade tensions. Watch: USDCNY, China PMI, EM bond flows."
"event_keywords": ["China GDP","Dollar","EM","PBOC","Commodities","stimulus Chine"],
"related_assets": ["EEM","EM","CNY","China"],
"correlation_instruments": ["GLD","USO","EURUSD=X"],
"ai_context": "EEM tracks MSCI Emerging Markets. Bullish: PBOC stimulus, commodities rally, weak USD. Bearish: Fed tightening, China slowdown, trade tensions. Watch: USDCNY, China PMI, EM bond flows."
},
{
"id": "EFA",
@@ -118,24 +98,19 @@
"exchange": "NYSE",
"category": "equity_intl",
"currency": "USD",
"description": "MSCI EAFE (Europe, Australasia, Far East) benchmark",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "MSCI EAFE — Europe, Australasie, Extrême-Orient (hors US/Canada)",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "ecb_policy", "label": "ECB Policy", "weight": 0.85},
{"key": "dollar", "label": "Dollar Index", "weight": 0.8},
{"key": "european_growth", "label": "European Growth", "weight": 0.75},
{"key": "global_trade", "label": "Global Trade", "weight": 0.6}
{"key": "ecb_policy", "label": "BCE / ECB", "weight": 0.85, "keywords": ["BCE","ECB","Lagarde","taux BCE","zone euro","politique BCE","ECB rate"]},
{"key": "energy", "label": "Énergie Europe", "weight": 0.8, "keywords": ["énergie","gaz européen","pétrole","LNG","crisis énergétique","energy","energy price"]},
{"key": "eurusd", "label": "EUR/USD", "weight": 0.75, "keywords": ["EUR/USD","euro dollar","eurusd","parité euro","euro fort","euro faible"]},
{"key": "european_growth", "label": "Croissance Européenne", "weight": 0.7, "keywords": ["Europe","zone euro","Allemagne","PIB européen","PMI Europe","récession Europe","croissance européenne"]}
],
"regime_labels": ["Global Risk-On", "USD Strength Drag", "Europe Recession", "Recovery", "Neutral"],
"event_keywords": ["ECB", "EU GDP", "Europe", "Germany", "BOJ", "Japan"],
"related_assets": ["EFA", "EAFE", "EUR", "EZU"],
"correlation_instruments": ["EURUSD=X", "EEM", "TLT"],
"ai_context": "EFA tracks developed international markets (Europe, Japan, Australia). Bullish on: EUR/JPY strength, ECB/BOJ dovishness, global reflation. Bearish on: USD strength (translation drag), European recession, geopolitical disruption. Watch: EUR/USD, German Bund yields, BOJ policy."
"event_keywords": ["ECB","EU GDP","Europe","Germany","BOJ","Japan","EUR"],
"related_assets": ["EFA","EAFE","EUR","EZU","SX5E"],
"correlation_instruments": ["EURUSD=X","EEM","TLT"],
"ai_context": "EFA tracks EAFE (Europe, Japan, Australia). Bullish: EUR/JPY strength, ECB/BOJ dovishness, global reflation. Bearish: USD strength, European recession, geopolitical disruption."
},
{
"id": "GLD",
@@ -145,25 +120,20 @@
"exchange": "NYSE",
"category": "metal",
"currency": "USD",
"description": "SPDR Gold Shares — physical gold proxy",
"chart": {
"ma_periods": [50, 100, 200],
"bollinger_period": 50,
"bollinger_std": 2,
"show_volume": true
},
"description": "SPDR Gold Shares — proxy physique de l'or",
"chart": { "ma_periods": [50, 100, 200], "bollinger_period": 50, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "real_rates_us", "label": "Real Rates US", "weight": 0.95},
{"key": "dollar_index", "label": "Dollar Index", "weight": 0.85},
{"key": "inflation_expectations", "label": "Inflation Expectations", "weight": 0.75},
{"key": "geopolitical_risk", "label": "Geopolitical Risk", "weight": 0.7},
{"key": "cb_buying", "label": "Central Bank Buying", "weight": 0.5}
{"key": "real_rates_us", "label": "Taux Réels US", "weight": 0.95, "keywords": ["taux réels","TIPS","real yields","Fed","FOMC","CPI","breakeven","inflation réelle"]},
{"key": "dollar_index", "label": "Dollar Index", "weight": 0.85, "keywords": ["Dollar","DXY","dollar index","USD","faible dollar","dollar fort"]},
{"key": "inflation_expectations", "label": "Anticipations Inflation", "weight": 0.75, "keywords": ["inflation","CPI","PCE","breakeven","attentes d'inflation","stagflation"]},
{"key": "geopolitical_risk", "label": "Risque Géopolitique", "weight": 0.7, "keywords": ["géopolitique","guerre","Moyen-Orient","Iran","Russie","conflit","Chine","tension","crise","war"]},
{"key": "cb_buying", "label": "Achats Banques Centrales","weight": 0.5, "keywords": ["banque centrale","central bank","réserves","gold reserves","achats d'or","PBOC gold","dédollarisation"]}
],
"regime_labels": ["Real Rates Falling", "Safe Haven Rally", "Inflation Hedge", "Dollar Weakness", "Range"],
"event_keywords": ["CPI", "Fed", "FOMC", "Dollar", "Geopolitical", "Iran", "Gold"],
"related_assets": ["GLD", "GC", "Gold", "XAU"],
"correlation_instruments": ["TLT", "SLV", "EURUSD=X", "USDJPY=X"],
"ai_context": "GLD tracks physical gold. Primary driver: real interest rates (inverse). Bullish on: falling real yields, dollar weakness, central bank buying, geopolitical crises. Bearish on: rising real yields, strong dollar, risk-on environment. Watch: TIPS yields, DXY, CB reserves."
"event_keywords": ["CPI","Fed","FOMC","Dollar","Geopolitical","Iran","Gold","guerre","inflation"],
"related_assets": ["GLD","GC","Gold","XAU"],
"correlation_instruments": ["TLT","SLV","EURUSD=X","USDJPY=X"],
"ai_context": "GLD tracks physical gold. Primary driver: real rates (inverse). Bullish: falling real yields, dollar weakness, CB buying, geopolitical crises. Bearish: rising real yields, strong dollar."
},
{
"id": "SLV",
@@ -173,25 +143,20 @@
"exchange": "NYSE",
"category": "metal",
"currency": "USD",
"description": "iShares Silver Trust — physical silver proxy",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "iShares Silver Trust — proxy physique de l'argent métal",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "industrial_demand", "label": "Industrial Demand", "weight": 0.8},
{"key": "real_rates", "label": "Real Rates", "weight": 0.75},
{"key": "dollar", "label": "Dollar Index", "weight": 0.7},
{"key": "solar_ev_demand", "label": "Solar/EV Demand", "weight": 0.65},
{"key": "gold_ratio", "label": "Gold/Silver Ratio", "weight": 0.6}
{"key": "industrial_demand", "label": "Demande Industrielle", "weight": 0.8, "keywords": ["industrie","manufacturing","PMI","production industrielle","fabrique","industry"]},
{"key": "real_rates", "label": "Taux Réels", "weight": 0.75, "keywords": ["taux réels","TIPS","Fed","FOMC","real yields"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.7, "keywords": ["Dollar","DXY","USD"]},
{"key": "solar_ev_demand", "label": "Solaire / Véhicule EV","weight": 0.65, "keywords": ["solaire","solar","EV","véhicule électrique","énergie verte","green energy","photovoltaïque","battery"]},
{"key": "gold_ratio", "label": "Ratio Or/Argent", "weight": 0.6, "keywords": ["Gold","or","ratio Or/Argent","gold silver","argent","silver"]}
],
"regime_labels": ["Industrial Demand", "Safe Haven Flow", "Dollar Weakness", "Risk-Off", "Range"],
"event_keywords": ["Manufacturing", "PMI", "CPI", "Dollar", "Silver", "EV", "Solar"],
"related_assets": ["SLV", "SI", "Silver"],
"correlation_instruments": ["GLD", "USO", "EEM"],
"ai_context": "SLV tracks silver. Dual nature: monetary metal (like gold) + industrial metal (solar panels, EVs, electronics). Bullish on: green energy demand, falling real rates, weak dollar. Bearish on: manufacturing slowdown, strong dollar, risk-off. Watch: gold/silver ratio, PMI data."
"event_keywords": ["Manufacturing","PMI","CPI","Dollar","Silver","EV","Solar","taux réels"],
"related_assets": ["SLV","SI","Silver"],
"correlation_instruments": ["GLD","USO","EEM"],
"ai_context": "SLV tracks silver. Dual nature: monetary (like gold) + industrial (solar, EVs). Bullish: green energy demand, falling real rates, weak dollar. Bearish: manufacturing slowdown, strong dollar."
},
{
"id": "USO",
@@ -201,25 +166,20 @@
"exchange": "NYSE",
"category": "energy",
"currency": "USD",
"description": "United States Oil Fund — WTI crude proxy",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "United States Oil Fund — proxy WTI (pétrole brut américain)",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "opec_policy", "label": "OPEC Policy", "weight": 0.9},
{"key": "inventories", "label": "EIA Inventories", "weight": 0.8},
{"key": "geopolitical_risk", "label": "Geopolitical Risk", "weight": 0.75},
{"key": "global_demand", "label": "Global Demand", "weight": 0.85},
{"key": "dollar", "label": "Dollar Index", "weight": 0.7}
{"key": "opec_policy", "label": "OPEP+ / Production", "weight": 0.9, "keywords": ["OPEC","OPEP","production pétrolière","quotas","Arabie Saoudite","Saudi","réduction","coupes","OPEC meeting"]},
{"key": "inventories", "label": "Stocks EIA", "weight": 0.8, "keywords": ["EIA","stocks pétroliers","inventaires","inventories","crude stocks","rapport EIA","crude supply"]},
{"key": "geopolitical_risk","label": "Risque Géopolitique","weight": 0.75, "keywords": ["géopolitique","Moyen-Orient","Iran","Russie","conflit","guerre","war","Golfe Persique","tension"]},
{"key": "global_demand", "label": "Demande Mondiale", "weight": 0.85, "keywords": ["demande mondiale","China demand","IEA","croissance mondiale","global demand","reprise économique"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.7, "keywords": ["Dollar","DXY","USD"]}
],
"regime_labels": ["Supply Shock", "Demand Recovery", "Inventory Draw", "Geopolitical Premium", "Neutral"],
"event_keywords": ["OPEC", "EIA", "Inventories", "Brent", "WTI", "Oil", "Middle East"],
"related_assets": ["USO", "CL", "WTI", "Oil", "Brent"],
"correlation_instruments": ["XOM", "EEM", "GLD", "UNG"],
"ai_context": "USO tracks WTI crude oil. Bullish on: OPEC+ cuts, geopolitical supply disruption, global demand recovery, weak dollar. Bearish on: OPEC+ output increases, demand recession, strong dollar, inventory builds. Watch: EIA weekly reports, OPEC meetings, Middle East tensions."
"event_keywords": ["OPEC","EIA","Inventories","Brent","WTI","Oil","Middle East","Saudi"],
"related_assets": ["USO","CL","WTI","Oil","Brent"],
"correlation_instruments": ["XOM","EEM","GLD","UNG"],
"ai_context": "USO tracks WTI crude. Bullish: OPEC+ cuts, geopolitical disruption, demand recovery, weak dollar. Bearish: OPEC output increases, demand recession, inventory builds."
},
{
"id": "UNG",
@@ -229,24 +189,19 @@
"exchange": "NYSE",
"category": "energy",
"currency": "USD",
"description": "United States Natural Gas Fund — Henry Hub proxy",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "United States Natural Gas Fund — proxy Henry Hub (gaz naturel)",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "weather_seasonality", "label": "Weather/Seasonality", "weight": 0.9},
{"key": "storage", "label": "EIA Gas Storage", "weight": 0.85},
{"key": "lng_exports", "label": "LNG Exports", "weight": 0.75},
{"key": "production", "label": "US Production", "weight": 0.7}
{"key": "weather_seasonality", "label": "Météo / Saisonnalité","weight": 0.9, "keywords": ["météo","weather","hiver","été","froid","chaleur","El Niño","La Niña","saison","vague de froid","heat wave"]},
{"key": "storage", "label": "Stockage EIA Gaz", "weight": 0.85, "keywords": ["EIA Gas Storage","stockage gaz","gas storage","inventaires gaz","rapport stockage gaz"]},
{"key": "lng_exports", "label": "Exports LNG", "weight": 0.75, "keywords": ["LNG","GNL","exportations gaz","terminal LNG","gazoduc","liquefied natural gas"]},
{"key": "production", "label": "Production US", "weight": 0.7, "keywords": ["production gaz","shale gas","fracking","puits gaz","Marcellus","Appalachian","US gas output"]}
],
"regime_labels": ["Winter Storage Fill", "Supply Glut", "Demand Surge", "Export LNG Lift", "Neutral"],
"event_keywords": ["EIA Gas Storage", "LNG", "Gas", "Natural Gas", "Weather"],
"related_assets": ["UNG", "NG", "Natgas"],
"correlation_instruments": ["USO", "XOM"],
"ai_context": "UNG tracks natural gas (Henry Hub). Highly seasonal and weather-driven. Bullish on: cold winter demand, low storage levels, LNG export growth, production cuts. Bearish on: warm weather, record storage builds, weak LNG prices. Watch: weekly EIA storage report, weather forecasts."
"event_keywords": ["EIA Gas Storage","LNG","Gas","Natural Gas","Weather","stockage gaz"],
"related_assets": ["UNG","NG","Natgas"],
"correlation_instruments": ["USO","XOM"],
"ai_context": "UNG tracks natural gas (Henry Hub). Highly seasonal and weather-driven. Bullish: cold winter, low storage, LNG export growth. Bearish: warm weather, record storage builds."
},
{
"id": "TLT",
@@ -256,25 +211,20 @@
"exchange": "NASDAQ",
"category": "bond",
"currency": "USD",
"description": "iShares 20+ Year Treasury Bond ETF",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "iShares 20+ Year Treasury — proxy du rendement US 10Y/30Y",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "fed_path", "label": "Fed Path", "weight": 0.9},
{"key": "inflation_expectations", "label": "Inflation Expectations", "weight": 0.85},
{"key": "growth", "label": "Economic Growth", "weight": 0.75},
{"key": "deficit_supply", "label": "Deficit/Supply", "weight": 0.7},
{"key": "risk_aversion", "label": "Risk Aversion", "weight": 0.65}
{"key": "fed_path", "label": "Trajectoire Fed", "weight": 0.9, "keywords": ["FOMC","Fed","taux directeur","Fed hike","Fed cut","pivot","dot plot","Federal Reserve"]},
{"key": "inflation_expectations", "label": "Inflation / CPI", "weight": 0.85, "keywords": ["CPI","PCE","inflation","déflation","attentes","breakeven","inflation US"]},
{"key": "growth", "label": "Croissance / NFP", "weight": 0.75, "keywords": ["GDP","NFP","récession","croissance","emploi","PMI","chômage","payrolls"]},
{"key": "deficit_supply", "label": "Déficit / Offre Treasury","weight": 0.7, "keywords": ["déficit","dette publique","Treasury auction","enchères","budget","fiscal","dette fédérale"]},
{"key": "risk_aversion", "label": "Fuite Vers Qualité", "weight": 0.65, "keywords": ["risk-off","crise","fuite vers la qualité","safe haven","vol spike","contagion","crise bancaire"]}
],
"regime_labels": ["Safe Haven Bid", "Rate Shock Selloff", "QE Expectations", "Inflation Selloff", "Range"],
"event_keywords": ["FOMC", "CPI", "Fed", "Treasury", "Yield", "Deficit"],
"related_assets": ["TLT", "TNX", "UST", "Bonds"],
"correlation_instruments": ["SPY", "GLD", "HYG", "USDJPY=X"],
"ai_context": "TLT tracks 20+ year US Treasuries. Bullish on: recession fears, Fed rate cuts, falling inflation, risk-off flows, QE expectations. Bearish on: rising inflation, Fed hikes, fiscal deficit expansion, strong growth. Watch: 10Y yield, breakevens, FOMC dots."
"event_keywords": ["FOMC","CPI","Fed","Treasury","Yield","Deficit","NFP"],
"related_assets": ["TLT","TNX","UST","Bonds"],
"correlation_instruments": ["SPY","GLD","HYG","USDJPY=X"],
"ai_context": "TLT tracks 20Y US Treasuries. Bullish: recession fears, Fed cuts, falling inflation, risk-off. Bearish: rising inflation, Fed hikes, fiscal deficit expansion, strong growth."
},
{
"id": "HYG",
@@ -284,24 +234,19 @@
"exchange": "NYSE",
"category": "credit",
"currency": "USD",
"description": "iShares iBoxx USD High Yield Corporate Bond ETF",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "iShares iBoxx USD High Yield Corporate Bond — baromètre du crédit HY",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "default_rate", "label": "Default Rate", "weight": 0.85},
{"key": "growth", "label": "Economic Growth", "weight": 0.8},
{"key": "liquidity", "label": "Liquidity Conditions", "weight": 0.8},
{"key": "risk_appetite", "label": "Risk Appetite", "weight": 0.75}
{"key": "default_rate", "label": "Taux de Défaut", "weight": 0.85, "keywords": ["défauts","default","faillite","bankruptcy","spreads HY","taux de défaut","HY spreads"]},
{"key": "growth", "label": "Croissance Économique", "weight": 0.8, "keywords": ["GDP","récession","croissance","PMI","emploi","payrolls","activité"]},
{"key": "liquidity", "label": "Conditions de Liquidité","weight": 0.8, "keywords": ["liquidité","crédit","QT","QE","conditions financières","FCO","financial conditions"]},
{"key": "risk_appetite", "label": "Appétit pour le Risque", "weight": 0.75, "keywords": ["risk-on","risk-off","appétit pour le risque","flux crédit","sentiment marché"]}
],
"regime_labels": ["Credit Expansion", "Credit Crunch", "Spread Compression", "Recession Fear", "Neutral"],
"event_keywords": ["Credit", "Default", "GDP", "FOMC", "Recession", "HY"],
"related_assets": ["HYG", "LQD", "Credit", "HY"],
"correlation_instruments": ["SPY", "IWM", "TLT"],
"ai_context": "HYG tracks US high-yield corporate bonds. A key credit stress barometer. Bullish on: strong growth, low defaults, liquidity expansion, risk appetite. Bearish on: recession, default cycle, credit crunch, liquidity withdrawal. Watch: OAS spreads vs Treasuries, default rates, IWM correlation."
"event_keywords": ["Credit","Default","GDP","FOMC","Recession","HY","spreads"],
"related_assets": ["HYG","LQD","Credit","HY"],
"correlation_instruments": ["SPY","IWM","TLT"],
"ai_context": "HYG tracks US high-yield corporate bonds. Key credit stress barometer. Bullish: strong growth, low defaults, liquidity expansion. Bearish: recession, default cycle, credit crunch."
},
{
"id": "EURUSD=X",
@@ -311,24 +256,19 @@
"exchange": "FX",
"category": "fx",
"currency": "USD",
"description": "Euro vs US Dollar spot rate",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": false
},
"description": "Taux spot Euro / Dollar américain",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": false },
"drivers": [
{"key": "fed_ecb_differential", "label": "Fed vs ECB Differential", "weight": 0.95},
{"key": "rate_differential_2y", "label": "Rate Differential 2Y", "weight": 0.85},
{"key": "growth_differential", "label": "Growth Differential", "weight": 0.75},
{"key": "risk_appetite", "label": "Risk Appetite", "weight": 0.7}
{"key": "fed_ecb_differential", "label": "Différentiel Fed/BCE", "weight": 0.95, "keywords": ["BCE","ECB","Fed","FOMC","différentiel","taux directeurs","politique monétaire","rate differential"]},
{"key": "rate_differential_2y", "label": "Taux 2 ans US-EUR", "weight": 0.85, "keywords": ["taux 2 ans","Bund 2Y","Treasury 2Y","swap","différentiel de taux","2Y spread"]},
{"key": "inflation_differential", "label": "Inflation US vs EUR", "weight": 0.75, "keywords": ["CPI","inflation","PCE","HICP","zone euro","inflation différentiel"]},
{"key": "dxy", "label": "Dollar Index DXY", "weight": 0.7, "keywords": ["Dollar","DXY","dollar index","USD","dollar fort","faible dollar"]}
],
"regime_labels": ["EUR Strength (ECB Hawkish)", "USD Strength (Fed Hawkish)", "Risk-On EUR Rally", "Risk-Off USD Safe", "Range"],
"event_keywords": ["ECB", "FOMC", "CPI", "EUR", "Dollar", "Fed", "Eurozone"],
"related_assets": ["EUR", "USD", "EURUSD", "6E"],
"correlation_instruments": ["GLD", "EFA", "TLT"],
"ai_context": "EUR/USD is driven by the Fed-ECB rate differential. EUR bullish on: ECB hawkishness relative to Fed, European growth surprise, risk-on flows. EUR bearish on: Fed hawkishness, European recession, risk-off USD demand. Watch: 2Y Bund-Treasury spread, ECB/Fed meeting dates."
"event_keywords": ["ECB","FOMC","CPI","EUR","Dollar","Fed","Eurozone","BCE"],
"related_assets": ["EUR","USD","EURUSD","6E"],
"correlation_instruments": ["GLD","EFA","TLT"],
"ai_context": "EUR/USD driven by Fed-ECB rate differential. EUR bullish: ECB hawkishness, European growth surprise, risk-on. EUR bearish: Fed hawkishness, European recession, risk-off USD demand."
},
{
"id": "USDJPY=X",
@@ -338,24 +278,19 @@
"exchange": "FX",
"category": "fx",
"currency": "JPY",
"description": "US Dollar vs Japanese Yen spot rate",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": false
},
"description": "Taux spot Dollar américain / Yen japonais",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": false },
"drivers": [
{"key": "boj_policy", "label": "BOJ Policy", "weight": 0.95},
{"key": "rate_diff_us_jp", "label": "Rate Differential US-JP", "weight": 0.9},
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.85},
{"key": "risk_appetite", "label": "Risk Appetite", "weight": 0.7}
{"key": "boj_policy", "label": "BOJ Policy", "weight": 0.95, "keywords": ["BOJ","Banque du Japon","Ueda","YCC","yield curve control","politique monétaire japonaise","BOJ rate","JGB"]},
{"key": "rate_diff_us_jp","label": "Différentiel US-JP","weight": 0.9, "keywords": ["différentiel US-Japon","JGB","UST","rendements US-JP","US Japan spread","10Y spread"]},
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.85, "keywords": ["Fed","FOMC","taux directeur US","hawkish Fed","Fed hike","Federal Reserve"]},
{"key": "risk_appetite", "label": "Risk Appetite / Carry","weight": 0.7, "keywords": ["risk-off","carry trade","yen safe haven","crise","carry unwind","yen refuge"]}
],
"regime_labels": ["Carry Trade On", "BOJ Tightening Surprise", "Risk-Off JPY Safe Haven", "Dollar Bull", "YCC Adjustment"],
"event_keywords": ["BOJ", "Fed", "Japan", "YCC", "Carry", "JPY", "Yen"],
"related_assets": ["JPY", "USDJPY", "6J", "Yen"],
"correlation_instruments": ["TLT", "GLD", "VXX"],
"ai_context": "USD/JPY is primarily driven by the US-Japan rate differential and BOJ yield curve control. USD bullish on: Fed hikes, BOJ ultra-dovish, risk-on carry. JPY bullish on: BOJ tightening surprise, risk-off crisis, US yield decline. Watch: BOJ meetings, 10Y UST-JGB spread, carry unwind signals."
"event_keywords": ["BOJ","Fed","Japan","YCC","Carry","JPY","Yen","taux Japon"],
"related_assets": ["JPY","USDJPY","6J","Yen"],
"correlation_instruments": ["TLT","GLD","VXX"],
"ai_context": "USD/JPY driven by US-Japan rate differential and BOJ yield curve control. USD bullish: Fed hikes, BOJ ultra-dovish. JPY bullish: BOJ tightening surprise, risk-off. Watch: BOJ meetings, 10Y UST-JGB spread."
},
{
"id": "GBPUSD=X",
@@ -365,24 +300,19 @@
"exchange": "FX",
"category": "fx",
"currency": "USD",
"description": "British Pound vs US Dollar spot rate",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": false
},
"description": "Taux spot Livre Sterling / Dollar américain",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": false },
"drivers": [
{"key": "boe_policy", "label": "BOE Policy", "weight": 0.9},
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.85},
{"key": "uk_growth", "label": "UK Growth", "weight": 0.75},
{"key": "political_risk", "label": "Political Risk UK", "weight": 0.65}
{"key": "boe_policy", "label": "BOE Policy", "weight": 0.9, "keywords": ["BOE","Bank of England","Bailey","taux UK","Royaume-Uni","Angleterre","UK rate","BOE meeting"]},
{"key": "uk_inflation", "label": "Inflation UK", "weight": 0.8, "keywords": ["inflation UK","CPI UK","CPIH","RPI","inflation Angleterre"]},
{"key": "uk_growth", "label": "Croissance UK", "weight": 0.75, "keywords": ["GDP UK","PMI UK","croissance UK","récession UK","UK economy","UK GDP"]},
{"key": "political_risk","label": "Risque Politique UK","weight": 0.65, "keywords": ["politique UK","budget UK","Labour","Tories","fiscal UK","gilt","UK budget","Reeves"]}
],
"regime_labels": ["GBP Strength (BOE Hawkish)", "USD Dominance", "Political Risk GBP", "UK Recession Pressure", "Range"],
"event_keywords": ["BOE", "Fed", "UK", "Britain", "Brexit", "GBP", "Pound"],
"related_assets": ["GBP", "GBPUSD", "6B", "Pound"],
"correlation_instruments": ["EURUSD=X", "TLT"],
"ai_context": "GBP/USD reflects the BOE vs Fed rate differential plus UK political risk premium. GBP bullish on: BOE hawkishness, strong UK data, political stability. GBP bearish on: UK recession, political uncertainty, Fed dominance, risk-off. Watch: UK CPI, BOE meetings, UK gilt yields."
"event_keywords": ["BOE","Fed","UK","Britain","GBP","Pound","UK CPI"],
"related_assets": ["GBP","GBPUSD","6B","Pound"],
"correlation_instruments": ["EURUSD=X","TLT"],
"ai_context": "GBP/USD reflects BOE vs Fed differential plus UK political risk premium. GBP bullish: BOE hawkishness, strong UK data, political stability. GBP bearish: UK recession, political uncertainty."
},
{
"id": "VXX",
@@ -392,24 +322,19 @@
"exchange": "CBOE",
"category": "volatility",
"currency": "USD",
"description": "iPath Series B S&P 500 VIX Short-Term Futures ETN",
"chart": {
"ma_periods": [10, 20, 50],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "iPath VIX Short-Term Futures ETN — proxy de la peur et de la volatilité implicite",
"chart": { "ma_periods": [10, 20, 50], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "market_stress", "label": "Market Stress", "weight": 0.9},
{"key": "risk_appetite", "label": "Risk Appetite", "weight": 0.85},
{"key": "options_demand", "label": "Options Demand", "weight": 0.75},
{"key": "macro_uncertainty", "label": "Macro Uncertainty", "weight": 0.7}
{"key": "market_stress", "label": "Stress de Marché", "weight": 0.9, "keywords": ["krach","crash","crise","choc","panic","volatilité","vol spike","selloff","capitulation","contagion"]},
{"key": "risk_appetite", "label": "Peur / Risk-Off", "weight": 0.85, "keywords": ["risk-off","risk-on","sentiment","fear","peur","greed","appétit risque","VIX spike"]},
{"key": "options_demand", "label": "Demande Options (Puts)", "weight": 0.75, "keywords": ["options","puts","hedging","protection","skew","IV","couverture","implied vol","volatilité implicite"]},
{"key": "macro_uncertainty", "label": "Incertitude Macro", "weight": 0.7, "keywords": ["FOMC","surprise","incertitude","géopolitique","macro","inflation choc","data surprise"]}
],
"regime_labels": ["Low Vol Complacency", "Vol Spike Crisis", "Vol Expansion", "Vol Compression", "Neutral"],
"event_keywords": ["VIX", "Volatility", "Crisis", "FOMC", "Market Stress"],
"related_assets": ["VXX", "VIX", "UVXY", "SVXY"],
"correlation_instruments": ["SPY", "TLT", "GLD"],
"ai_context": "VXX tracks short-term VIX futures (fear gauge). Spikes on: market crashes, geopolitical shocks, FOMC surprises, credit events. Mean-reverts in calm markets due to futures roll decay. Useful for hedging equity drawdowns. Watch: VIX term structure, SPX put skew, macro event calendar."
"event_keywords": ["VIX","Volatility","Crisis","FOMC","Market Stress","peur","vol spike"],
"related_assets": ["VXX","VIX","UVXY","SVXY"],
"correlation_instruments": ["SPY","TLT","GLD"],
"ai_context": "VXX tracks short-term VIX futures. Spikes on: market crashes, geopolitical shocks, FOMC surprises. Mean-reverts due to futures roll decay. Watch: VIX term structure, SPX put skew."
},
{
"id": "AAPL",
@@ -419,25 +344,20 @@
"exchange": "NASDAQ",
"category": "stock",
"currency": "USD",
"description": "Apple Inc. — consumer tech, services ecosystem",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "Apple Inc. — ecosystème consommateur tech et services",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "iphone_cycle", "label": "iPhone Cycle", "weight": 0.85},
{"key": "china_sales", "label": "China Sales", "weight": 0.8},
{"key": "fed_policy", "label": "Fed Policy", "weight": 0.8},
{"key": "ai_integration", "label": "AI Integration", "weight": 0.75},
{"key": "margins", "label": "Services Margins", "weight": 0.7}
{"key": "iphone_cycle", "label": "Cycle iPhone", "weight": 0.85, "keywords": ["iPhone","Apple","AAPL earnings","supercycle","launch","iPhone 16","hardware"]},
{"key": "china_sales", "label": "Ventes Chine", "weight": 0.8, "keywords": ["Chine","China","Huawei","ban Apple","restrictions Apple","China sales","marché chinois"]},
{"key": "ai_integration","label": "Apple Intelligence / IA","weight": 0.75, "keywords": ["Apple Intelligence","AI","IA","Siri","machine learning","IA Apple","generative AI"]},
{"key": "margins", "label": "Services & Marges", "weight": 0.7, "keywords": ["services","App Store","iCloud","marge Apple","services revenue","abonnements"]},
{"key": "fed_policy", "label": "Valorisation / Taux", "weight": 0.65, "keywords": ["Fed","taux","valorisation","taux d'intérêt","discount rate"]}
],
"regime_labels": ["Growth Bull", "Rate Squeeze", "Earnings Beat", "Tech Selloff", "Neutral"],
"event_keywords": ["Apple Earnings", "iPhone", "Services", "China", "Fed", "AI", "AAPL"],
"related_assets": ["AAPL", "Apple"],
"correlation_instruments": ["QQQ", "NVDA", "SPY"],
"ai_context": "AAPL is the world's largest company by market cap. Key drivers: iPhone supercycle, Services revenue growth (highest-margin), China exposure. Bullish on: new product launches, AI integration (Apple Intelligence), services acceleration. Bearish on: China ban risk, rate hikes, iPhone demand slowdown. Watch: quarterly earnings, China sales data."
"event_keywords": ["Apple Earnings","iPhone","Services","China","Fed","AI","AAPL"],
"related_assets": ["AAPL","Apple"],
"correlation_instruments": ["QQQ","NVDA","SPY"],
"ai_context": "AAPL is world's largest market cap. Key drivers: iPhone cycle, Services revenue growth, China exposure, AI integration. Watch: quarterly earnings, China sales, Apple Intelligence traction."
},
{
"id": "NVDA",
@@ -447,25 +367,20 @@
"exchange": "NASDAQ",
"category": "stock",
"currency": "USD",
"description": "NVIDIA Corporation — AI chips and data center GPU leader",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "NVIDIA Corporation — leader mondial des GPU pour IA et data centers",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "ai_capex_cycle", "label": "AI Capex Cycle", "weight": 0.95},
{"key": "earnings_growth", "label": "Earnings Growth", "weight": 0.9},
{"key": "data_center_demand", "label": "Data Center Demand", "weight": 0.85},
{"key": "export_restrictions", "label": "Export Restrictions", "weight": 0.7},
{"key": "rates", "label": "Interest Rates", "weight": 0.6}
{"key": "ai_capex_cycle", "label": "Capex IA / Hyperscalers","weight": 0.95, "keywords": ["IA","AI","data center","capex","Nvidia","GPU","H100","Blackwell","NVLink","hyperscalers","infrastructure IA"]},
{"key": "earnings_growth", "label": "Croissance Bénéfices", "weight": 0.9, "keywords": ["NVDA earnings","résultats Nvidia","revenues","data center revenue","beat","guidance"]},
{"key": "data_center_demand","label": "Demande Data Center", "weight": 0.85, "keywords": ["Amazon AWS","Microsoft Azure","Google Cloud","data center","cloud","computing","GPU demand"]},
{"key": "export_restrictions","label": "Restrictions Export", "weight": 0.7, "keywords": ["export control","restrictions export","Chine","China ban","BIS","CISA","H20","chip ban"]},
{"key": "rates", "label": "Taux / Valorisation", "weight": 0.6, "keywords": ["taux","valorisation","growth stock","multiples","discount rate","Fed"]}
],
"regime_labels": ["AI Bull Run", "AI Hype Correction", "Earnings Catalyst", "Rate Compression", "Consolidation"],
"event_keywords": ["NVIDIA Earnings", "AI", "Data Center", "Export", "GPU", "NVDA"],
"related_assets": ["NVDA", "NVIDIA", "AI"],
"correlation_instruments": ["QQQ", "AAPL", "SPY"],
"ai_context": "NVDA is the dominant AI infrastructure supplier (H100/H200/Blackwell GPUs). Bullish on: AI capex spending by hyperscalers, earnings beats, new GPU architecture launches. Bearish on: US-China export restrictions, AI spending slowdown, competitive pressure from AMD/Intel. Watch: quarterly data center revenue, export control updates."
"event_keywords": ["NVIDIA Earnings","AI","Data Center","Export","GPU","NVDA","Blackwell"],
"related_assets": ["NVDA","NVIDIA","AI"],
"correlation_instruments": ["QQQ","AAPL","SPY"],
"ai_context": "NVDA dominates AI infrastructure (H100/Blackwell GPUs). Bullish: AI capex spending, earnings beats, new GPU launches. Bearish: US-China export restrictions, AI spending slowdown."
},
{
"id": "GS",
@@ -475,24 +390,19 @@
"exchange": "NYSE",
"category": "stock",
"currency": "USD",
"description": "The Goldman Sachs Group — global investment bank",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "The Goldman Sachs Group — banque d'investissement globale",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "yield_curve", "label": "Yield Curve", "weight": 0.85},
{"key": "ma_activity", "label": "M&A Activity", "weight": 0.8},
{"key": "rates", "label": "Interest Rates", "weight": 0.8},
{"key": "credit_conditions", "label": "Credit Conditions", "weight": 0.75}
{"key": "yield_curve", "label": "Courbe des Taux", "weight": 0.85, "keywords": ["courbe des taux","2Y-10Y","steepening","inversion","yield curve","10Y-2Y","pente"]},
{"key": "ma_activity", "label": "M&A / Activité Deals", "weight": 0.8, "keywords": ["M&A","fusion-acquisition","LBO","IPO","deal","advisory","boutique","transaction"]},
{"key": "rates", "label": "Taux d'Intérêt", "weight": 0.8, "keywords": ["taux","Fed","intérêts","NIM","net interest margin","Fed rate","interest rates"]},
{"key": "credit_conditions","label": "Conditions de Crédit", "weight": 0.75, "keywords": ["crédit","spreads","conditions financières","leverage loans","credit tightening"]}
],
"regime_labels": ["Finance Bull", "Recession Fear", "Yield Curve Steepen", "M&A Boom", "Range"],
"event_keywords": ["Goldman", "Financials", "Yield Curve", "M&A", "Banking", "Fed", "Credit"],
"related_assets": ["GS", "Goldman", "XLF", "Financials"],
"correlation_instruments": ["SPY", "TLT", "HYG"],
"ai_context": "Goldman Sachs benefits from: steep yield curve (NIM expansion), M&A advisory boom, robust fixed income trading. Bullish on: rising rates + yield curve steepening, IPO/M&A surge, strong trading volumes. Bearish on: yield curve inversion, recession (deal freeze), credit crisis. Watch: 2Y-10Y spread, IPO pipeline, trading revenues."
"event_keywords": ["Goldman","Financials","Yield Curve","M&A","Banking","Fed","Credit"],
"related_assets": ["GS","Goldman","XLF","Financials"],
"correlation_instruments": ["SPY","TLT","HYG"],
"ai_context": "Goldman benefits from: steep yield curve, M&A advisory boom, robust trading. Bullish: rate curve steepening, IPO/M&A surge. Bearish: yield curve inversion, recession, credit crisis."
},
{
"id": "XOM",
@@ -502,25 +412,20 @@
"exchange": "NYSE",
"category": "stock",
"currency": "USD",
"description": "Exxon Mobil Corporation — global integrated energy major",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "Exxon Mobil Corporation — major pétrolier intégré mondial",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "oil_price", "label": "Oil Price", "weight": 0.9},
{"key": "global_demand", "label": "Global Demand", "weight": 0.8},
{"key": "opec_policy", "label": "OPEC Policy", "weight": 0.75},
{"key": "capex", "label": "Capital Expenditure", "weight": 0.6},
{"key": "dollar", "label": "Dollar Index", "weight": 0.6}
{"key": "oil_price", "label": "Prix du Pétrole", "weight": 0.9, "keywords": ["WTI","Brent","pétrole","crude","oil price","prix pétrole","cours pétrole"]},
{"key": "global_demand", "label": "Demande Mondiale", "weight": 0.8, "keywords": ["demande mondiale","China demand","IEA","croissance","global demand","reprise"]},
{"key": "opec_policy", "label": "OPEP+ Production", "weight": 0.75, "keywords": ["OPEC","OPEP","quotas","production","Saudi","Arabie Saoudite","réduction"]},
{"key": "capex", "label": "Capex / Investissement","weight": 0.6, "keywords": ["capex","investissement","forage","upstream","exploration","rig count"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.6, "keywords": ["Dollar","DXY","USD"]}
],
"regime_labels": ["Energy Bull", "Demand Slowdown", "OPEC Benefit", "Green Transition Drag", "Range"],
"event_keywords": ["Oil", "OPEC", "Energy", "XOM", "EIA", "Crude", "Exxon"],
"related_assets": ["XOM", "Exxon", "CL", "Oil", "Energy"],
"correlation_instruments": ["USO", "UNG", "EEM"],
"ai_context": "XOM is the largest US oil major. Revenues are highly correlated to oil and gas prices. Bullish on: OPEC cuts, geopolitical supply risk, refining margin expansion. Bearish on: oil price collapse, global recession, accelerating energy transition. Watch: WTI/Brent prices, OPEC+ decisions, quarterly earnings."
"event_keywords": ["Oil","OPEC","Energy","XOM","EIA","Crude","Exxon","WTI"],
"related_assets": ["XOM","Exxon","CL","Oil","Energy"],
"correlation_instruments": ["USO","UNG","EEM"],
"ai_context": "XOM revenues highly correlated to oil/gas prices. Bullish: OPEC cuts, geopolitical supply risk, refining margins. Bearish: oil price collapse, global recession, energy transition."
},
{
"id": "BTC-USD",
@@ -530,25 +435,20 @@
"exchange": "Crypto",
"category": "crypto",
"currency": "USD",
"description": "Bitcoin — leading decentralized digital asset",
"chart": {
"ma_periods": [20, 50, 200],
"bollinger_period": 20,
"bollinger_std": 2,
"show_volume": true
},
"description": "Bitcoin — premier actif décentralisé, indicateur de liquidité et Risk-On",
"chart": { "ma_periods": [20, 50, 200], "bollinger_period": 20, "bollinger_std": 2, "show_volume": true },
"drivers": [
{"key": "global_liquidity", "label": "Global Liquidity", "weight": 0.85},
{"key": "etf_flows", "label": "ETF Flows", "weight": 0.85},
{"key": "risk_appetite", "label": "Risk Appetite", "weight": 0.8},
{"key": "regulatory", "label": "Regulatory Environment", "weight": 0.7},
{"key": "dollar", "label": "Dollar Index", "weight": 0.65}
{"key": "global_liquidity","label": "Liquidité Mondiale", "weight": 0.85, "keywords": ["liquidité mondiale","M2","Fed","QE","QT","conditions financières","liquidity","money supply"]},
{"key": "etf_flows", "label": "Flux ETF Bitcoin", "weight": 0.85, "keywords": ["ETF Bitcoin","spot BTC ETF","BlackRock","Fidelity","flux ETF","ETF approval","IBIT","FBTC"]},
{"key": "risk_appetite", "label": "Sentiment Risk-On", "weight": 0.8, "keywords": ["risk-on","risk-off","crypto","sentiment","appétit pour le risque","halving","cycle crypto"]},
{"key": "regulatory", "label": "Réglementation Crypto", "weight": 0.7, "keywords": ["réglementation crypto","SEC","CFTC","crypto ban","ETF approval","régulation","MiCA"]},
{"key": "dollar", "label": "Dollar Index", "weight": 0.65, "keywords": ["Dollar","DXY","USD","dédollarisation"]}
],
"regime_labels": ["Crypto Bull (ETF Inflows)", "Risk-Off Crypto Selloff", "Liquidity Expansion", "Regulatory Fear", "Consolidation"],
"event_keywords": ["Bitcoin", "BTC", "Crypto", "ETF", "Fed", "Liquidity", "Regulation"],
"related_assets": ["BTC", "Bitcoin", "Crypto"],
"correlation_instruments": ["SPY", "QQQ", "GLD"],
"ai_context": "Bitcoin is the dominant crypto asset. Acts as a high-beta risk asset and an emerging macro hedge. Bullish on: Fed liquidity expansion, spot ETF inflows, halving cycle, institutional adoption. Bearish on: regulatory crackdown, risk-off markets, Fed tightening, crypto-specific contagion. Watch: spot BTC ETF flows, M2 money supply, halving cycle timing."
"event_keywords": ["Bitcoin","BTC","Crypto","ETF","Fed","Liquidity","Regulation","halving"],
"related_assets": ["BTC","Bitcoin","Crypto"],
"correlation_instruments": ["SPY","QQQ","GLD"],
"ai_context": "Bitcoin: high-beta risk asset + emerging macro hedge. Bullish: Fed liquidity expansion, spot ETF inflows, halving cycle. Bearish: regulatory crackdown, risk-off, Fed tightening."
}
]
}

22
backend/routers/instruments.py
View File

@@ -3,6 +3,7 @@ Instrument Dashboard Router.
Exposes per-instrument snapshot (price, indicators, regime, trend, events) and AI narrative.
"""
from fastapi import APIRouter, HTTPException, Query
from pydantic import BaseModel
from typing import List, Dict, Any, Optional
from services.instrument_service import (
@@ -10,8 +11,12 @@ from services.instrument_service import (
get_instrument,
get_snapshot,
get_narrative,
update_instrument_drivers,
)
class DriverUpdate(BaseModel):
drivers: List[Dict[str, Any]]
router = APIRouter(prefix="/api/instruments", tags=["instruments"])
@@ -63,3 +68,20 @@ async def generate_narrative(
"instrument_name": config.get("name", instrument_id),
"narrative": narrative,
}
@router.put("/{instrument_id}/drivers")
def update_drivers(instrument_id: str, body: DriverUpdate) -> Dict[str, Any]:
"""
Persist updated drivers (label, weight, keywords) for an instrument to instruments.json.
"""
config = get_instrument(instrument_id)
if not config:
raise HTTPException(status_code=404, detail=f"Instrument '{instrument_id}' not found")
try:
update_instrument_drivers(instrument_id, body.drivers)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
return {"ok": True, "instrument_id": instrument_id.upper(), "drivers_count": len(body.drivers)}

27
backend/services/instrument_service.py
View File

@@ -42,6 +42,33 @@ def get_instrument(instrument_id: str) -> Optional[Dict]:
return _configs.get(instrument_id.upper())
def update_instrument_drivers(instrument_id: str, drivers: List[Dict]) -> None:
"""Persist updated drivers to instruments.json and refresh in-memory config."""
global _configs
if _configs is None:
_load_configs()
uid = instrument_id.upper()
if uid not in _configs:
raise ValueError(f"Instrument {uid} not found")
# Load raw JSON, update the matching instrument, save back
with open(CONFIG_PATH, "r", encoding="utf-8") as f:
raw = json.load(f)
for inst in raw["instruments"]:
if inst["id"] == uid:
inst["drivers"] = drivers
break
with open(CONFIG_PATH, "w", encoding="utf-8") as f:
json.dump(raw, f, ensure_ascii=False, indent=2)
# Refresh in-memory cache
_configs[uid]["drivers"] = drivers
logger.info(f"[instrument_service] Updated drivers for {uid} ({len(drivers)} drivers)")
# ── DataFrame helpers ──────────────────────────────────────────────────────────
def _ohlcv_to_df(records: List[Dict]) -> pd.DataFrame: