Bangkok Post BusinessvsFinancial Times
Bangkok Post Business (32.6% hit rate) vs Financial Times (37.5% 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 3149 checked headlines
Hit rate
Checked reports
Articles Analyzed
Avg. Relevance
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
Bangkok Post Business
Financial Times
Market Context Coverage
| Hit rate by market | Bangkok Post Business | Financial Times |
|---|---|---|
| AI infrastructure bonds | — | 1 (0%) |
| Anthropic IPO | — | 1 (0%) |
| Argentine peso | — | 1 (0%) |
| Asian stocks | 27 (13%) | 85 (6%) |
| Australian stocks | — | 23 (2%) |
| Automotive/EV import policy | 1 (1%) | — |
| BNB | — | 3 (0%) |
| Bitcoin | 7 (3%) | 18 (1%) |
| Brazilian markets | — | 1 (0%) |
| China 10-year government bonds | — | 1 (0%) |
| China Economy | 1 (1%) | — |
| Copper | — | 2 (0%) |
| DAX | 1 (1%) | 10 (1%) |
| EUR/USD | — | 4 (0%) |
| Electronics & Tourism | 1 (1%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 4 (2%) | 72 (5%) |
| French bond | — | 1 (0%) |
| Glencore | — | 1 (0%) |
| Gold | 23 (11%) | 44 (3%) |
| Home improvement sector | 1 (1%) | — |
| Indian stocks | — | 72 (5%) |
| Indonesian | — | 1 (0%) |
| Indonesian stock | — | 1 (0%) |
| Japanese stocks | 4 (2%) | 52 (4%) |
| Kazakh tenge | — | 1 (0%) |
| NASDAQ | — | 12 (1%) |
| Nike | 1 (1%) | — |
| Oil | 31 (15%) | 411 (29%) |
| Silver | — | 3 (0%) |
| South Korean | — | 1 (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%) | 79 (6%) |
| US banking sector | — | 1 (0%) |
| US short-term interest rates | — | 1 (0%) |
| USA | 11 (5%) | 221 (16%) |
| USD/JPY | 1 (1%) | 20 (1%) |
| Vietnamese | 1 (1%) | — |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| critical minerals | — | 1 (0%) |
| cryptocurrencies (Crypto) | 3 (1%) | 17 (1%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| global food | — | 1 (0%) |
| global markets | 17 (8%) | 147 (10%) |
| high-yield credit markets | — | 1 (0%) |
| insurance | 1 (1%) | — |
| junk-rated corporate bonds | — | 1 (0%) |
| private | — | 1 (0%) |
| private markets | — | 1 (0%) |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 101 (7%) |
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How often the news was right
Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: Bangkok Post Business or Financial Times?▼
How are these comparisons calculated?▼
What markets do Bangkok Post Business and Financial Times both cover?▼
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.