Bangkok Post Businessvswallstreet-online Nachrichten
Bangkok Post Business (32.6 % de réussite) vs wallstreet-online Nachrichten (36.8 % 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 1181 titres vérifiés
Classé #17 sur — sources
Classé #13 sur — sources
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
wallstreet-online Nachrichten
Couverture des contextes de marché
| Taux de réussite par marché | Bangkok Post Business | wallstreet-online Nachrichten |
|---|---|---|
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Airbus | — | 2 (0%) |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Amazon | — | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | — | 3 (1%) |
| Asian stocks | 27 (13%) | 3 (1%) |
| Australian stocks | — | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Automotive/EV import policy | 1 (1%) | — |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | — | 1 (0%) |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 7 (3%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 1 (0%) |
| Canadian markets | — | 1 (0%) |
| Cannabis | — | 2 (0%) |
| Carrefour | — | 1 (0%) |
| China Economy | 1 (1%) | — |
| Chinese solar sector | — | 1 (0%) |
| Coca-Cola | — | 1 (0%) |
| Commodities | — | 1 (0%) |
| Copper | — | 2 (0%) |
| D-Wave | — | 1 (0%) |
| DAX | 1 (1%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | — | 1 (0%) |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| EUR/USD | — | 4 (1%) |
| Electronics & Tourism | 1 (1%) | — |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 1 (0%) |
| European natural gas | — | 1 (0%) |
| European stocks | 4 (2%) | 40 (6%) |
| Evotec | — | 1 (0%) |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| General Motors | — | 1 (0%) |
| Gold | 23 (11%) | 28 (4%) |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hungarian markets | — | 1 (0%) |
| IBM | — | 1 (0%) |
| IMAX | — | 1 (0%) |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | — | 3 (1%) |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 4 (2%) | 2 (0%) |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| Mensch und Maschine | — | 1 (0%) |
| Meta Platforms | — | 2 (0%) |
| Micron | — | 1 (0%) |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | — | 16 (3%) |
| Nanexa | — | 1 (0%) |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| NextDC | — | 1 (0%) |
| Nike | 1 (1%) | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Novo Nordisk | — | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| Oil | 31 (15%) | 96 (15%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (0%) |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| RWE | — | 1 (0%) |
| Redcare Pharmacy | — | 1 (0%) |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| SAP | — | 1 (0%) |
| SK Hynix | — | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | — | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | — | 11 (2%) |
| SoftBank | — | 1 (0%) |
| South Korean | — | 1 (0%) |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swiss Franc | — | 1 (0%) |
| Take-Two Interactive | — | 2 (0%) |
| Target | — | 1 (0%) |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thai | 8 (4%) | — |
| Thai Airways | 2 (1%) | — |
| Thai Baht | 4 (2%) | — |
| 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%) | — |
| Thyssenkrupp | — | 1 (0%) |
| UK markets | 3 (1%) | 3 (1%) |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| USA | 11 (5%) | 57 (9%) |
| USD/JPY | 1 (1%) | 1 (0%) |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | — | 1 (0%) |
| Uranium | — | 1 (0%) |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vietnamese | 1 (1%) | — |
| Vincorion | — | 1 (0%) |
| Vonovia | — | 2 (0%) |
| XRP | — | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | 7 (1%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| general | — | 1 (0%) |
| global markets | 17 (8%) | 15 (2%) |
| insurance | 1 (1%) | — |
| online retail / e-commerce | — | 1 (0%) |
| restaurant | — | 1 (0%) |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 98 (15%) |
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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 wallstreet-online Nachrichten ?▼
Comment ces comparaisons sont-elles calculées ?▼
Quels marchés Bangkok Post Business et wallstreet-online Nachrichten 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.