AIamond
Head-to-Head Comparison

Bangkok Post Businessvswallstreet-online Nachrichten

Bangkok Post Business (32.6% hit rate) vs wallstreet-online Nachrichten (36.8% 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 1181 checked headlines

Bangkok Post Business

Ranked #17 of — sources

Metric
wallstreet-online Nachrichten

Ranked #13 of — sources

Hit rate

32.6%vs36.8%

Checked reports

307vs1,181

Articles Analyzed

300vs651

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%

wallstreet-online Nachrichten

Avg. Sentiment: 0.00
Bullish 47%Neutral 3%Bearish 50%

Market Context Coverage

Hit rate by marketBangkok Post Businesswallstreet-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 stocks27 (13%)3 (1%)
Australian stocks—3 (1%)
Auto1 Group—1 (0%)
Automotive/EV import policy1 (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%)
Bitcoin7 (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 Economy1 (1%)—
Chinese solar sector—1 (0%)
Coca-Cola—1 (0%)
Commodities—1 (0%)
Copper—2 (0%)
D-Wave—1 (0%)
DAX1 (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 & Tourism1 (1%)—
EssilorLuxottica—1 (0%)
Estée Lauder—1 (0%)
Ethereum—1 (0%)
European natural gas—1 (0%)
European stocks4 (2%)40 (6%)
Evotec—1 (0%)
Fortinet—1 (0%)
French government bonds—2 (0%)
General Motors—1 (0%)
Gold23 (11%)28 (4%)
HP—1 (0%)
Hapag-Lloyd—1 (0%)
HelloFresh—1 (0%)
Hensoldt AG—1 (0%)
Home improvement sector1 (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 stocks4 (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%)
Nike1 (1%)2 (0%)
Nordex—1 (0%)
Nordex AG—1 (0%)
Novo Nordisk—2 (0%)
Novo Nordisk, pharmaceutical—1 (0%)
Nscale IPO—1 (0%)
Oil31 (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%)
Thai8 (4%)—
Thai Airways2 (1%)—
Thai Baht4 (2%)—
Thai GDP growth outlook1 (1%)—
Thai banking sector1 (1%)—
Thai banks1 (1%)—
Thai bond1 (1%)—
Thai bonds1 (1%)—
Thai brokerage industry1 (1%)—
Thai corporate bond1 (1%)—
Thai domestic vehicle sales1 (1%)—
Thai economic growth1 (1%)—
Thai economy1 (1%)—
Thai economy GDP growth1 (1%)—
Thai exports1 (1%)—
Thai insurance industry1 (1%)—
Thai macroeconomics1 (1%)—
Thai restaurant industry1 (1%)—
Thai retail sector1 (1%)—
Thai rice exports1 (1%)—
Thai stock6 (3%)—
Thai stock exchange, SET1 (1%)—
Thai tourism2 (1%)—
Thai tourism revenue1 (1%)—
Thai tourism sector1 (1%)—
Thailand IT1 (1%)—
Thailand SET1 (1%)—
Thailand auto sales1 (1%)—
Thailand automotive1 (1%)—
Thailand banking sector1 (1%)—
Thailand digital infrastructure1 (1%)—
Thailand e-commerce1 (1%)—
Thailand inbound tourism1 (1%)—
Thailand luxury retail1 (1%)—
Thailand national economy1 (1%)—
Thailand sovereign credit rating1 (1%)—
Thailand stock1 (1%)—
Thailand tourism1 (1%)—
Thailand tourism industry1 (1%)—
Thailand tourism revenue1 (1%)—
Thailand tourism sector2 (1%)—
Thyssenkrupp—1 (0%)
UK markets3 (1%)3 (1%)
US Real Estate—1 (0%)
US Soybean—1 (0%)
USA11 (5%)57 (9%)
USD/JPY1 (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%)
Vietnamese1 (1%)—
Vincorion—1 (0%)
Vonovia—2 (0%)
XRP—5 (1%)
Xiaomi—1 (0%)
Xpeng—1 (0%)
Zinc—2 (0%)
compact digital cameras1 (1%)—
computer hardware1 (1%)—
cryptocurrencies (Crypto)3 (1%)7 (1%)
electricity1 (1%)—
ethanol1 (1%)—
general—1 (0%)
global markets17 (8%)15 (2%)
insurance1 (1%)—
online retail / e-commerce—1 (0%)
restaurant—1 (0%)
road freight transport rates1 (1%)—
technology stocks (Tech)8 (4%)98 (15%)

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Frequently Asked Questions

Which is more reliable: Bangkok Post Business or wallstreet-online Nachrichten?▼
Bangkok Post Business (32.6%) and wallstreet-online Nachrichten (36.8%) 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 wallstreet-online Nachrichten 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.