Head-to-Head Comparison
Bangkok Post BusinessvsCNBC
Bangkok Post Business (32.6% hit rate) vs CNBC (38.6% hit rate): how often each source’s headline tone matched the later price move.
Neither did better against chance than the other
Based on 307 and 3910 checked headlines
Hit rate
32.6%vs38.6%
Checked reports
307vs3,910
Articles Analyzed
300vs1,937
Avg. Relevance
-vs-
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
Bangkok Post Business
Avg. Sentiment: 0.01
Bullish 52%Neutral 5%Bearish 43%
CNBC
Avg. Sentiment: 0.02
Bullish 51%Neutral 5%Bearish 45%
Market Context Coverage
| Hit rate by market | 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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Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: Bangkok Post Business or CNBC?▼
Bangkok Post Business (32.6%) and CNBC (38.6%) get the same verdict against chance, measured from the first tradable price. A raw hit rate mostly reflects which markets a source covers, so a gap between the two rates alone says little.
How are these comparisons calculated?▼
AI rates each headline’s tone as up, down or sideways for its market. From the first price a reader could trade we check the move after 1, 3 and 7 days, and compare each source’s hit rate with chance for its own mix of calls (method on /how-reliable-is). Sources are compared on that verdict, their tone mix and the markets they cover.
What markets do Bangkok Post Business and CNBC both cover?▼
They share 14 market contexts: Asian stocks, Bitcoin, DAX, European stocks, Gold, Japanese stocks, Nike, Oil, UK markets, USA, USD/JPY, cryptocurrencies (Crypto), global markets, technology stocks (Tech). Each source may also cover additional markets independently.
Our Methodology
AI classifies each article's tone as up, down or sideways for the market it covers. From the first price a reader could trade after publication we check the move after 1, 3 and 7 days. A source's hit rate is compared with chance for the same calls and outcomes within each market, so covering calm or busy markets earns nothing. Each difference comes with a 95 % interval; checks close in time are resampled together in blocks of 7 or 14 days, because they share market moves. A verdict needs at least 300 checks and must hold after correcting for the number of sources tested (Holm). This answers "did the market move that way?": a hit rate, not a return. AIamond makes no forecasts of its own.