Bangkok Post BusinessvsFXStreet
Bangkok Post Business (32.6 % 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 307 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
Bangkok Post Business
FXStreet
Couverture des contextes de marché
| Taux de réussite par marché | Bangkok Post Business | FXStreet |
|---|---|---|
| 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%) |
| Apple | — | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 27 (13%) | 65 (1%) |
| Australian stocks | — | 114 (2%) |
| Automotive/EV import policy | 1 (1%) | — |
| BNB | — | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Bitcoin | 7 (3%) | 77 (2%) |
| 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 Economy | 1 (1%) | — |
| 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 | — | 14 (0%) |
| Czech Crown | — | 1 (0%) |
| DAX | 1 (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 | — | 572 (11%) |
| Electronics & Tourism | 1 (1%) | — |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European stocks | 4 (2%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Forex | — | 1 (0%) |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | — | 526 (10%) |
| Gold | 23 (11%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hims & Hers Health | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| 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 | — | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 4 (2%) | 91 (2%) |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (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 | — | 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%) |
| Nike | 1 (1%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | — | 1 (0%) |
| OKLO | — | 1 (0%) |
| Oil | 31 (15%) | 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 | — | 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 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 | 8 (4%) | — |
| Thai Airways | 2 (1%) | — |
| Thai Baht | 4 (2%) | 7 (0%) |
| Thai GDP growth outlook | 1 (1%) | — |
| Thai banking sector | 1 (1%) | — |
| Thai banks | 1 (1%) | — |
| Thai bond | 1 (1%) | — |
| Thai bonds | 1 (1%) | — |
| Thai brokerage industry | 1 (1%) | — |
| Thai corporate bond | 1 (1%) | — |
| Thai domestic vehicle sales | 1 (1%) | — |
| Thai economic growth | 1 (1%) | — |
| Thai economy | 1 (1%) | — |
| Thai economy GDP growth | 1 (1%) | — |
| Thai exports | 1 (1%) | — |
| Thai insurance industry | 1 (1%) | — |
| Thai macroeconomics | 1 (1%) | — |
| Thai restaurant industry | 1 (1%) | — |
| Thai retail sector | 1 (1%) | — |
| Thai rice exports | 1 (1%) | — |
| Thai stock | 6 (3%) | — |
| Thai stock exchange, SET | 1 (1%) | — |
| Thai tourism | 2 (1%) | — |
| Thai tourism revenue | 1 (1%) | — |
| Thai tourism sector | 1 (1%) | — |
| Thailand IT | 1 (1%) | — |
| Thailand SET | 1 (1%) | — |
| Thailand auto sales | 1 (1%) | — |
| Thailand automotive | 1 (1%) | — |
| Thailand banking sector | 1 (1%) | — |
| Thailand digital infrastructure | 1 (1%) | — |
| Thailand e-commerce | 1 (1%) | — |
| Thailand inbound tourism | 1 (1%) | — |
| Thailand luxury retail | 1 (1%) | — |
| Thailand national economy | 1 (1%) | — |
| Thailand sovereign credit rating | 1 (1%) | — |
| Thailand stock | 1 (1%) | — |
| Thailand tourism | 1 (1%) | — |
| Thailand tourism industry | 1 (1%) | — |
| Thailand tourism revenue | 1 (1%) | — |
| Thailand tourism sector | 2 (1%) | — |
| Travelers Insurance | — | 1 (0%) |
| Turkish Lira | — | 3 (0%) |
| UK markets | 3 (1%) | 127 (2%) |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| USA | 11 (5%) | 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 | 1 (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%) |
| Vietnamese | 1 (1%) | — |
| XRP | — | 30 (1%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | 34 (1%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| forex markets | — | 1 (0%) |
| global markets | 17 (8%) | 76 (2%) |
| insurance | 1 (1%) | — |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 49 (1%) |
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Votre Propre Tableau de Bord
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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 : Bangkok Post Business ou FXStreet ?▼
Comment ces comparaisons sont-elles calculées ?▼
Quels marchés Bangkok Post Business 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.