Bangkok Post BusinessvsCNBC
Bangkok Post Business (32.6 % Trefferquote) vs. CNBC (38.6 % Trefferquote): wie oft der Schlagzeilen-Ton jeder Quelle zur späteren Kursbewegung passte.
Keine schnitt gegen den Zufall besser ab als die andere
Basierend auf 307 bzw. 3910 geprüften Schlagzeilen
Trefferquote
Geprüfte Meldungen
Analysierte Artikel
Durchschn. Relevanz
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
Bangkok Post Business
CNBC
Marktkontext-Abdeckung
| Trefferquote nach Markt | Bangkok Post Business | CNBC |
|---|---|---|
| AST SpaceMobile | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| Adobe, single software | — | 1 (0%) |
| Affirm Holdings | — | 1 (0%) |
| Airline | — | 1 (0%) |
| Aluminum | — | 2 (0%) |
| Amazon | — | 4 (0%) |
| Apple | — | 2 (0%) |
| Asian stocks | 27 (13%) | 51 (3%) |
| Australian stocks | — | 6 (0%) |
| Automotive industry | — | 1 (0%) |
| Automotive/EV import policy | 1 (1%) | — |
| Autonomous driving | — | 1 (0%) |
| BNB | — | 1 (0%) |
| Baidu | — | 1 (0%) |
| Berkshire Hathaway | — | 1 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 7 (3%) | 25 (2%) |
| Block Inc | — | 1 (0%) |
| Booking Holdings | — | 1 (0%) |
| Brazilian | — | 2 (0%) |
| Brazilian real | — | 1 (0%) |
| CVS Health, healthcare/managed care | — | 1 (0%) |
| ChargePoint | — | 1 (0%) |
| China Economy | 1 (1%) | — |
| China industrial profits | — | 1 (0%) |
| China trade data | — | 1 (0%) |
| Chinese biopharma | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chipotle Mexican Grill | — | 1 (0%) |
| Coinbase | — | 1 (0%) |
| Commodities | — | 1 (0%) |
| Copper | — | 3 (0%) |
| CoreWeave | — | 4 (0%) |
| DAX | 1 (1%) | 7 (0%) |
| Dell Technologies | — | 2 (0%) |
| EUR/USD | — | 3 (0%) |
| Electronics & Tourism | 1 (1%) | — |
| Eli Lilly | — | 1 (0%) |
| Etsy | — | 1 (0%) |
| European stocks | 4 (2%) | 57 (3%) |
| Expedia Group | — | 1 (0%) |
| Ferrari | — | 1 (0%) |
| Ford Motor Company | — | 1 (0%) |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 1 (0%) |
| GBP/USD | — | 1 (0%) |
| Generac Holdings | — | 1 (0%) |
| Gold | 23 (11%) | 34 (2%) |
| Hanwha Ocean | — | 1 (0%) |
| Hewlett Packard Enterprise | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| Homebuilder | — | 1 (0%) |
| Hybe | — | 1 (0%) |
| Iceland EU vote | — | 1 (0%) |
| Indian stocks | — | 23 (1%) |
| Japanese stocks | 4 (2%) | 20 (1%) |
| JetBlue | — | 1 (0%) |
| Johnson & Johnson | — | 1 (0%) |
| Korean | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lucid Motors | — | 1 (0%) |
| Luxury sector | — | 2 (0%) |
| MGM Resorts | — | 1 (0%) |
| Madison Air IPO | — | 1 (0%) |
| Mastercard | — | 1 (0%) |
| MaxLinear | — | 1 (0%) |
| Meta Platforms | — | 2 (0%) |
| Micron Technology | — | 1 (0%) |
| Microsoft | — | 1 (0%) |
| Municipal Bonds | — | 1 (0%) |
| NASDAQ | — | 48 (3%) |
| Netflix | — | 2 (0%) |
| New Zealand exporters | — | 1 (0%) |
| Nike | 1 (1%) | 3 (0%) |
| Novo Nordisk | — | 2 (0%) |
| Nvidia | — | 1 (0%) |
| Oil | 31 (15%) | 306 (18%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 2 (0%) |
| Palantir Technologies | — | 1 (0%) |
| Paramount/Warner Bros merger | — | 1 (0%) |
| Peloton | — | 1 (0%) |
| Penguin Solutions | — | 1 (0%) |
| PepsiCo | — | 1 (0%) |
| Pharmaceutical | — | 1 (0%) |
| Pharmaceutical ETF | — | 1 (0%) |
| Pop Mart | — | 1 (0%) |
| Private Credit | — | 1 (0%) |
| Qantas | — | 1 (0%) |
| Refiner | — | 1 (0%) |
| Restaurant Brands International | — | 1 (0%) |
| Restaurant industry | — | 1 (0%) |
| Riot Platforms | — | 1 (0%) |
| Rivian | — | 2 (0%) |
| Robinhood | — | 2 (0%) |
| Roku | — | 1 (0%) |
| Royal Caribbean Cruises | — | 1 (0%) |
| SK Hynix | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Samsung Electronics | — | 1 (0%) |
| Saudi Aramco | — | 1 (0%) |
| Seven & i Holdings | — | 1 (0%) |
| Sherwin-Williams | — | 1 (0%) |
| Silver | — | 4 (0%) |
| SoFi Technologies | — | 1 (0%) |
| South Korean rates | — | 1 (0%) |
| South Korean solar | — | 1 (0%) |
| SpaceX IPO | — | 1 (0%) |
| Swiss Franc | — | 2 (0%) |
| Taiwan economy | — | 1 (0%) |
| Take-Two Interactive | — | 1 (0%) |
| Tapestry Inc | — | 1 (0%) |
| Target Corp | — | 1 (0%) |
| Tesla | — | 2 (0%) |
| 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%) | — |
| Turkish | — | 1 (0%) |
| UK markets | 3 (1%) | 21 (1%) |
| US Banking Sector | — | 1 (0%) |
| US apartment rents | — | 1 (0%) |
| US mortgage rates | — | 1 (0%) |
| US-China summit expectations | — | 1 (0%) |
| USA | 11 (5%) | 462 (27%) |
| USD | — | 2 (0%) |
| USD/JPY | 1 (1%) | 15 (1%) |
| Union Pacific | — | 1 (0%) |
| Utilities sector | — | 1 (0%) |
| Vietnamese | 1 (1%) | — |
| Visa | — | 1 (0%) |
| Walmart | — | 1 (0%) |
| Wendy's | — | 2 (0%) |
| West Pharma | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zebra Technologies | — | 1 (0%) |
| biotech | — | 1 (0%) |
| bond | — | 1 (0%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| consumer stock/haircare sector | — | 1 (0%) |
| cryptocurrencies (Crypto) | 3 (1%) | 15 (1%) |
| data storage manufacturer | — | 1 (0%) |
| defense industry | — | 1 (0%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| global markets | 17 (8%) | 136 (8%) |
| home furnishings | — | 1 (0%) |
| insurance | 1 (1%) | — |
| memory | — | 1 (0%) |
| natural gas pipeline operators | — | 1 (0%) |
| prediction markets / Robinhood | — | 1 (0%) |
| retail | — | 1 (0%) |
| road freight transport rates | 1 (1%) | — |
| small-cap | — | 1 (0%) |
| software stock / Salesforce | — | 1 (0%) |
| technology stocks (Tech) | 8 (4%) | 315 (19%) |
| uranium | — | 1 (0%) |
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Wie oft die Nachrichten richtig lagen
Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: Bangkok Post Business oder CNBC?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken Bangkok Post Business und CNBC gemeinsam ab?▼
Unsere Methodik
Eine KI ordnet den Tenor jedes Artikels für den behandelten Markt als steigend, fallend oder seitwärts ein. Ab dem ersten Kurs, zu dem ein Leser nach der Veröffentlichung hätte handeln können, prüfen wir die Bewegung nach 1, 3 und 7 Tagen. Die Trefferquote einer Quelle wird mit dem Zufall für dieselben Einschätzungen und Ergebnisse innerhalb jedes Marktes verglichen; wer über ruhige oder bewegte Märkte schreibt, gewinnt dadurch nichts. Jeder Abstand hat ein 95-%-Intervall; zeitlich nahe Prüfungen werden in Blöcken von 7 oder 14 Tagen gemeinsam neu gezogen, weil sie Marktbewegungen teilen. Ein Urteil braucht mindestens 300 Prüfungen und muss auch nach der Korrektur für die Zahl der getesteten Quellen (Holm) bestehen. Das beantwortet „Bewegte sich der Markt so?“: eine Trefferquote, keine Rendite. AIamond selbst macht keine Prognosen.