Financial TimesvsFXStreet
Financial Times (37.5 % de réussite) vs FXStreet (36.4 % de réussite) : à quelle fréquence le ton des titres de chaque source a correspondu au mouvement de prix suivant.
Aucune ne s'en sort mieux face au hasard que l'autre
Basé sur 3149 et 11412 titres vérifiés
Taux de réussite
Infos vérifiées
Articles Analysés
Pertinence Moyenne
Analyse du sentiment et des biais
Dans quelle mesure les titres de chaque source tendent à être haussiers ou baissiers.
Distribution du sentiment
Financial Times
FXStreet
Couverture des contextes de marché
| Taux de réussite par marché | Financial Times | FXStreet |
|---|---|---|
| AI infrastructure bonds | 1 (0%) | — |
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Aluminium | — | 5 (0%) |
| Amazon | — | 2 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | — | 1 (0%) |
| Argentine peso | 1 (0%) | — |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 85 (6%) | 65 (1%) |
| Australian stocks | 23 (2%) | 114 (2%) |
| BNB | 3 (0%) | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Bitcoin | 18 (1%) | 77 (2%) |
| Brazilian markets | 1 (0%) | — |
| CAD | — | 7 (0%) |
| CAD/USD | — | 13 (0%) |
| CEE FX | — | 10 (0%) |
| CEE exports | — | 1 (0%) |
| CHF/EUR | — | 1 (0%) |
| CHF/JPY | — | 1 (0%) |
| CNY | — | 1 (0%) |
| CNY/USD | — | 2 (0%) |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| China 10-year government bonds | 1 (0%) | — |
| China macro | — | 1 (0%) |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Cocoa Futures | — | 1 (0%) |
| Copper | 2 (0%) | 14 (0%) |
| Czech Crown | — | 1 (0%) |
| DAX | 10 (1%) | 20 (0%) |
| DXY | — | 4 (0%) |
| Denison Mine | — | 1 (0%) |
| Dogecoin | — | 13 (0%) |
| Dollar Index | — | 1 (0%) |
| EUR/CAD | — | 1 (0%) |
| EUR/CHF | — | 1 (0%) |
| EUR/GBP | — | 29 (1%) |
| EUR/JPY | — | 37 (1%) |
| EUR/PLN | — | 1 (0%) |
| EUR/SEK | — | 1 (0%) |
| EUR/USD | 4 (0%) | 572 (11%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 72 (5%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Forex | — | 1 (0%) |
| French bond | 1 (0%) | — |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | — | 526 (10%) |
| Glencore | 1 (0%) | — |
| Gold | 44 (3%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hims & Hers Health | — | 1 (0%) |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| Indian stocks | 72 (5%) | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian | 1 (0%) | — |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Indonesian stock | 1 (0%) | — |
| Japanese stocks | 52 (4%) | 91 (2%) |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Kazakh tenge | 1 (0%) | — |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| MENA FX | — | 1 (0%) |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Mastercard Inc | — | 1 (0%) |
| Meta | — | 1 (0%) |
| Mexican Peso | — | 1 (0%) |
| NASDAQ | 12 (1%) | 45 (1%) |
| NBCC | — | 1 (0%) |
| NOK | — | 2 (0%) |
| NOK/EUR | — | 1 (0%) |
| NOK/SEK | — | 1 (0%) |
| NOK/USD | — | 2 (0%) |
| NZD | — | 5 (0%) |
| NZD/USD | — | 18 (0%) |
| Natural Gas | — | 3 (0%) |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand markets | — | 2 (0%) |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | — | 1 (0%) |
| OKLO | — | 1 (0%) |
| Oil | 411 (29%) | 522 (10%) |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Pfizer | — | 1 (0%) |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Ralph Lauren | — | 1 (0%) |
| Romanian Leu | — | 1 (0%) |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| Silver | 3 (0%) | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| Solana | — | 5 (0%) |
| South African Rand | — | 2 (0%) |
| South Korean | 1 (0%) | — |
| South Korean Won | — | 1 (0%) |
| South Korean markets | — | 2 (0%) |
| South Korean monetary policy | — | 1 (0%) |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | — | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| Turkish Lira | — | 3 (0%) |
| UK markets | 79 (6%) | 127 (2%) |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US banking sector | 1 (0%) | — |
| US short-term interest rates | 1 (0%) | — |
| USA | 221 (16%) | 540 (10%) |
| USD | — | 19 (0%) |
| USD Index | — | 3 (0%) |
| USD/CAD | — | 45 (1%) |
| USD/CHF | — | 16 (0%) |
| USD/CNH | — | 14 (0%) |
| USD/CNY | — | 1 (0%) |
| USD/IDR | — | 8 (0%) |
| USD/INR | — | 7 (0%) |
| USD/JPY | 20 (1%) | 693 (13%) |
| USD/MXN | — | 3 (0%) |
| USD/MYR | — | 3 (0%) |
| USD/PHP | — | 2 (0%) |
| USD/SGD | — | 13 (0%) |
| USD/TRY | — | 1 (0%) |
| USD/TWD | — | 2 (0%) |
| USD/VND | — | 1 (0%) |
| USD/ZAR | — | 2 (0%) |
| USDCAD | — | 1 (0%) |
| XRP | — | 30 (1%) |
| critical minerals | 1 (0%) | — |
| cryptocurrencies (Crypto) | 17 (1%) | 34 (1%) |
| forex markets | — | 1 (0%) |
| global food | 1 (0%) | — |
| global markets | 147 (10%) | 76 (2%) |
| high-yield credit markets | 1 (0%) | — |
| junk-rated corporate bonds | 1 (0%) | — |
| private | 1 (0%) | — |
| private markets | 1 (0%) | — |
| technology stocks (Tech) | 101 (7%) | 49 (1%) |
La situation de l'actualité aujourd'hui — pas une prévision
Un court e-mail quotidien gratuit avec les informations de marché les plus importantes et leur orientation, sources comprises.
Obtenez des Informations de Marché IA Gratuites
Le tableau de l'actualité de vos marchés, lue par l'IA. Gratuit, sans carte bancaire.
Tendances de marché analysées par l'IA
Consultez gratuitement les tendances analysées
Votre Propre Tableau de Bord
Listes de suivi et l'image de l'actualité, quand vous le souhaitez
À quelle fréquence l'actualité a vu juste
Le taux de réussite de chaque source face au hasard
Questions Fréquemment Posées
Quelle source est la plus fiable : Financial Times ou FXStreet ?▼
Comment ces comparaisons sont-elles calculées ?▼
Quels marchés Financial Times et FXStreet couvrent-ils en commun ?▼
Notre Méthodologie
Une IA classe le ton de chaque article comme haussier, baissier ou neutre pour le marché concerné. À partir du premier cours auquel un lecteur pouvait négocier après la publication, nous vérifions le mouvement après 1, 3 et 7 jours. Le taux de réussite d'une source est comparé au hasard pour les mêmes appréciations et résultats au sein de chaque marché : couvrir des marchés calmes ou agités ne rapporte rien. Chaque écart a un intervalle à 95 % ; les vérifications proches dans le temps sont rééchantillonnées ensemble par blocs de 7 ou 14 jours, car elles partagent des mouvements de marché. Un verdict exige au moins 300 vérifications et doit tenir après correction pour le nombre de sources testées (Holm). Cela répond à « le marché a-t-il évolué ainsi ? » : un taux de réussite, pas un rendement. AIamond ne fait aucune prévision propre.