Head-to-Head Comparison
Bangkok Post BusinessvsDagens Industri
Bangkok Post Business (32.6% hit rate) vs Dagens Industri (35.8% 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 2891 checked headlines
Hit rate
32.6%vs35.8%
Checked reports
307vs2,891
Articles Analyzed
300vs2,010
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%
Dagens Industri
Avg. Sentiment: -0.09
Bullish 41%Neutral 5%Bearish 54%
Market Context Coverage
| Hit rate by market | Bangkok Post Business | Dagens Industri |
|---|---|---|
| AB Volvo | — | 1 (0%) |
| ABB | — | 2 (0%) |
| Academedia | — | 1 (0%) |
| Acroud | — | 1 (0%) |
| Airline | — | 1 (0%) |
| Alfa Laval | — | 3 (0%) |
| Alleima | — | 1 (0%) |
| Alleimaas | — | 1 (0%) |
| Alstom, French rail manufacturer | — | 1 (0%) |
| Amazon | — | 1 (0%) |
| Anthropic valuation | — | 1 (0%) |
| Apotea | — | 1 (0%) |
| Apotea, Swedish online pharmacy | — | 1 (0%) |
| Argentine economy | — | 1 (0%) |
| Ascelia Pharma | — | 1 (0%) |
| Asian stocks | 27 (13%) | 98 (7%) |
| AstraZeneca | — | 3 (0%) |
| Atlas Copco | — | 3 (0%) |
| Atrium Ljungberg | — | 2 (0%) |
| Audi/Volkswagen | — | 1 (0%) |
| Australian stocks | — | 1 (0%) |
| Autoliv | — | 2 (0%) |
| Automotive/EV import policy | 1 (1%) | — |
| Avensia | — | 1 (0%) |
| Axfood | — | 1 (0%) |
| BE Group | — | 1 (0%) |
| Bank of America | — | 1 (0%) |
| Beijer Ref | — | 1 (0%) |
| Bico | — | 1 (0%) |
| Binance | — | 1 (0%) |
| Biogaia | — | 1 (0%) |
| Biogaia, Swedish probiotics company | — | 1 (0%) |
| Bitcoin | 7 (3%) | 8 (1%) |
| Boeing | — | 2 (0%) |
| Boozt | — | 1 (0%) |
| Bravida | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| CTEK | — | 1 (0%) |
| Camparis | — | 1 (0%) |
| Canada-US trade negotiations | — | 1 (0%) |
| Canada-USA trade | — | 1 (0%) |
| Carrefour | — | 1 (0%) |
| Catena, Swedish | — | 1 (0%) |
| Cellavision | — | 1 (0%) |
| China Economy | 1 (1%) | — |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese financial markets | — | 1 (0%) |
| Clas Ohlson | — | 3 (0%) |
| Cloetta | — | 1 (0%) |
| Copper | — | 2 (0%) |
| Crocs | — | 1 (0%) |
| DAX | 1 (1%) | 12 (1%) |
| Danish economy | — | 1 (0%) |
| Dynavox | — | 1 (0%) |
| Dyrgripen | — | 1 (0%) |
| EUR/USD | — | 5 (0%) |
| Electrolux | — | 2 (0%) |
| Electronics & Tourism | 1 (1%) | — |
| Ellos | — | 1 (0%) |
| Enrad | — | 1 (0%) |
| Epiroc | — | 2 (0%) |
| Ericsson | — | 3 (0%) |
| Essity | — | 1 (0%) |
| Essitys | — | 1 (0%) |
| European stocks | 4 (2%) | 267 (18%) |
| Evolution AB | — | 1 (0%) |
| Ferrari | — | 1 (0%) |
| Finnair | — | 1 (0%) |
| French government bonds | — | 1 (0%) |
| GBP/USD | — | 1 (0%) |
| Getinge | — | 1 (0%) |
| Gold | 23 (11%) | 7 (1%) |
| H&M | — | 4 (0%) |
| HMS Networks | — | 1 (0%) |
| HP | — | 1 (0%) |
| Handelsbanken, Swedish bank | — | 1 (0%) |
| Heba real estate | — | 1 (0%) |
| Hemnet | — | 1 (0%) |
| Hernö Gin | — | 1 (0%) |
| Hexagon | — | 1 (0%) |
| Hexagon AB | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| Hufvudstaden AB | — | 1 (0%) |
| Husqvarna | — | 1 (0%) |
| Höganäs AB | — | 1 (0%) |
| IAG/airline | — | 1 (0%) |
| IPO | — | 1 (0%) |
| Indian stocks | — | 6 (0%) |
| Indonesian | — | 1 (0%) |
| Intel | — | 1 (0%) |
| Intrum | — | 1 (0%) |
| Iron ore/Commodities | — | 1 (0%) |
| JM AB | — | 1 (0%) |
| Japanese stocks | 4 (2%) | 10 (1%) |
| Kinnevik | — | 3 (0%) |
| Klarna | — | 3 (0%) |
| Konecranes | — | 1 (0%) |
| LVMH | — | 1 (0%) |
| Loomis | — | 1 (0%) |
| Lululemon | — | 1 (0%) |
| Luxury goods sector | — | 1 (0%) |
| Lyko | — | 1 (0%) |
| Mercedes-Benz | — | 1 (0%) |
| Micro Systemation | — | 1 (0%) |
| Munters AB | — | 1 (0%) |
| Mycronic | — | 1 (0%) |
| NASDAQ | — | 62 (4%) |
| Netflix | — | 1 (0%) |
| New Wave | — | 2 (0%) |
| Nibe | — | 1 (0%) |
| Nibe AB | — | 1 (0%) |
| Nibe Industrier, Swedish | — | 1 (0%) |
| Nike | 1 (1%) | — |
| Noba Bank | — | 1 (0%) |
| Nordea | — | 3 (0%) |
| Nordnet/Avanza | — | 1 (0%) |
| Norwegian electricity | — | 1 (0%) |
| Norwegian markets | — | 1 (0%) |
| Norwegian salmon | — | 1 (0%) |
| Novartis | — | 1 (0%) |
| Novo Nordisk | — | 2 (0%) |
| Nscale IPO | — | 1 (0%) |
| Nvidia | — | 1 (0%) |
| Oil | 31 (15%) | 123 (8%) |
| Ortelius International | — | 1 (0%) |
| PayPal | — | 1 (0%) |
| PepsiCo | — | 1 (0%) |
| Polestar | — | 1 (0%) |
| Porsche | — | 1 (0%) |
| Qben Infra | — | 1 (0%) |
| Rejlers | — | 1 (0%) |
| Rusta | — | 1 (0%) |
| Röko AB | — | 1 (0%) |
| SBB | — | 1 (0%) |
| SCA Group | — | 1 (0%) |
| SEB | — | 3 (0%) |
| SEK | — | 2 (0%) |
| SK Hynix | — | 2 (0%) |
| SKF AB | — | 1 (0%) |
| SSAB | — | 3 (0%) |
| Saab | — | 2 (0%) |
| Sandvik | — | 3 (0%) |
| Scandi Standards | — | 1 (0%) |
| Schneider Electric | — | 1 (0%) |
| Sectra | — | 1 (0%) |
| Securitas AB | — | 3 (0%) |
| Silver | — | 3 (0%) |
| Sinch | — | 2 (0%) |
| Skanska | — | 1 (0%) |
| Skistar | — | 1 (0%) |
| Smart Eye AB | — | 1 (0%) |
| Sobi | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Spotify | — | 1 (0%) |
| Stillfront AB | — | 1 (0%) |
| Stockholm Stock Exchange | — | 13 (1%) |
| Stockholm stock exchange | — | 1 (0%) |
| Stora Enso | — | 1 (0%) |
| Storytel | — | 3 (0%) |
| Studsvik | — | 1 (0%) |
| Sweco | — | 1 (0%) |
| Swedencare | — | 1 (0%) |
| Swedish | — | 21 (1%) |
| Swedish Krona | — | 1 (0%) |
| Swedish Real Estate | — | 1 (0%) |
| Swedish automotive supply chain | — | 1 (0%) |
| Swedish betting sector | — | 1 (0%) |
| Swedish construction sector | — | 1 (0%) |
| Swedish defense | — | 1 (0%) |
| Swedish economy | — | 3 (0%) |
| Swedish electricity | — | 1 (0%) |
| Swedish forestry sector | — | 1 (0%) |
| Swedish fuel | — | 1 (0%) |
| Swedish gaming | — | 1 (0%) |
| Swedish golf restaurant sector | — | 1 (0%) |
| Swedish grocery retail | — | 1 (0%) |
| Swedish housing | — | 7 (1%) |
| Swedish individual | — | 1 (0%) |
| Swedish inflation | — | 2 (0%) |
| Swedish interest rates | — | 6 (0%) |
| Swedish markets | — | 1 (0%) |
| Swedish mining | — | 1 (0%) |
| Swedish mining equipment | — | 1 (0%) |
| Swedish real estate | — | 5 (0%) |
| Swedish rental housing | — | 1 (0%) |
| Swedish sawmill industry | — | 1 (0%) |
| Swedish stock | — | 4 (0%) |
| Swedish venture capital | — | 1 (0%) |
| Swiss | — | 1 (0%) |
| Taiwan stock | — | 1 (0%) |
| Tech | — | 2 (0%) |
| Tele2 | — | 1 (0%) |
| Teqnion | — | 1 (0%) |
| Tesla | — | 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%) | — |
| Thule | — | 1 (0%) |
| Thule AB | — | 1 (0%) |
| Tieto AB | — | 1 (0%) |
| Traton | — | 2 (0%) |
| Traton AG | — | 1 (0%) |
| Traton/Scania | — | 1 (0%) |
| Trelleborg | — | 2 (0%) |
| Troax | — | 1 (0%) |
| Truecaller | — | 2 (0%) |
| Turkish | — | 1 (0%) |
| Tången | — | 1 (0%) |
| UK markets | 3 (1%) | 25 (2%) |
| US-Canada trade | — | 1 (0%) |
| USA | 11 (5%) | 330 (22%) |
| USD/JPY | 1 (1%) | 7 (1%) |
| Verisure | — | 1 (0%) |
| Vietnamese | 1 (1%) | — |
| Volvo Cars | — | 7 (1%) |
| Wendy's | — | 1 (0%) |
| Wisa | — | 1 (0%) |
| Xspray | — | 1 (0%) |
| airline ticket | — | 1 (0%) |
| aviation manufacturers | — | 1 (0%) |
| bank | — | 1 (0%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | 2 (0%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| food | — | 2 (0%) |
| gaming company | — | 1 (0%) |
| global markets | 17 (8%) | 57 (4%) |
| hotel | — | 1 (0%) |
| insurance | 1 (1%) | — |
| interest-rate expectations | — | 1 (0%) |
| iron ore | — | 1 (0%) |
| mining company | — | 1 (0%) |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 147 (10%) |
| unnamed Swedish high-dividend | — | 1 (0%) |
| unnamed company | — | 1 (0%) |
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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 Dagens Industri?▼
Bangkok Post Business (32.6%) and Dagens Industri (35.8%) 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 Dagens Industri both cover?▼
They share 13 market contexts: Asian stocks, Bitcoin, DAX, European stocks, Gold, Japanese stocks, 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.