AIamond
Head-to-Head Comparison

Borsen DKvswallstreet-online Nachrichten

Borsen DK (39.5% 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 509 and 1181 checked headlines

Borsen DK

Ranked #4 of — sources

Metric
wallstreet-online Nachrichten

Ranked #13 of — sources

Hit rate

39.5%vs36.8%

Checked reports

509vs1,181

Articles Analyzed

332vs651

Avg. Relevance

-vs-

Sentiment & Bias Analysis

How bullish or bearish each source’s headlines tend to be.

Sentiment Distribution

Borsen DK

Avg. Sentiment: -0.10
Bullish 39%Neutral 5%Bearish 57%

wallstreet-online Nachrichten

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

Market Context Coverage

Hit rate by marketBorsen DKwallstreet-online Nachrichten
ALK-Abelló1 (0%)—
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%)
Alphabet1 (0%)1 (0%)
Amazon—2 (0%)
American Express—1 (0%)
Anthropic IPO1 (0%)—
AppLovin—1 (0%)
Apple1 (0%)3 (1%)
Asian stocks29 (10%)3 (1%)
Australian stocks—3 (1%)
Auto1 Group—1 (0%)
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%)
Bitcoin1 (0%)21 (3%)
BlackRock—1 (0%)
Boozt Group1 (0%)—
Brazilian—1 (0%)
Brazilian Real—2 (0%)
Bulgarian—1 (0%)
Canadian markets—1 (0%)
Cannabis—2 (0%)
Carlsberg1 (0%)—
Carlsberg IPO1 (0%)—
Carrefour—1 (0%)
Chinese solar sector—1 (0%)
Coca-Cola—1 (0%)
Coloplast1 (0%)—
Coloplast, Danish medtech company1 (0%)—
Commodities1 (0%)1 (0%)
Copenhagen housing2 (1%)—
Copenhagen real estate1 (0%)—
Copper—2 (0%)
D-Wave—1 (0%)
DAX3 (1%)54 (8%)
DHL Group—1 (0%)
DSV2 (1%)—
Daimler Truck—1 (0%)
Danish5 (2%)—
Danish bank1 (0%)—
Danish defense-sector businesses1 (0%)—
Danish economy1 (0%)—
Danish housing1 (0%)—
Danish inflation1 (0%)—
Danish real estate4 (1%)—
Danske Bank1 (0%)—
Dell Technologies—1 (0%)
Demant2 (1%)—
Deutsche Bank—2 (0%)
Deutsche Telekom—3 (1%)
EUR/USD1 (0%)4 (1%)
EssilorLuxottica—1 (0%)
Estée Lauder—1 (0%)
Ethereum—1 (0%)
European natural gas1 (0%)1 (0%)
European stocks47 (16%)40 (6%)
Evotec—1 (0%)
FLSmidth mining equipment company1 (0%)—
Fortinet—1 (0%)
French government bonds—2 (0%)
GN Store Group1 (0%)—
General Motors—1 (0%)
Genmab3 (1%)—
Gold3 (1%)28 (4%)
HP—1 (0%)
Hapag-Lloyd—1 (0%)
HelloFresh—1 (0%)
Hensoldt AG—1 (0%)
Honda—1 (0%)
Honeywell Aerospace—1 (0%)
Hungarian markets—1 (0%)
IBM—1 (0%)
IMAX—1 (0%)
ISS A/S1 (0%)—
Iambic Therapeutics—1 (0%)
Indian stocks—3 (1%)
IonQ—1 (0%)
Iranian Rial—1 (0%)
Jakarta Stock Exchange—1 (0%)
Japanese stocks2 (1%)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%)
Lundbeck1 (0%)—
Maersk1 (0%)—
Maersk / Shipping1 (0%)—
Mendole1 (0%)—
Mensch und Maschine—1 (0%)
Meta Platforms—2 (0%)
Micron—1 (0%)
MiniMax—1 (0%)
Moderna—1 (0%)
NASDAQ4 (1%)16 (3%)
Nanexa—1 (0%)
Nebius Group—2 (0%)
NetApp—1 (0%)
Netflix—2 (0%)
NextDC—1 (0%)
Nike1 (0%)2 (0%)
Nordea Bank1 (0%)—
Norden A/S1 (0%)—
Nordex—1 (0%)
Nordex AG—1 (0%)
Novo Nordisk10 (3%)2 (0%)
Novo Nordisk, Danish1 (0%)—
Novo Nordisk, pharmaceutical—1 (0%)
Novonesis1 (0%)—
Nscale IPO—1 (0%)
Oil43 (15%)96 (15%)
Oracle—2 (0%)
Palantir—1 (0%)
Palantir stock, analyst rating—1 (0%)
Palfinger—2 (0%)
Palo Alto Networks—1 (0%)
Pandora1 (0%)—
Pandora jewelry company1 (0%)—
Pandora, Danish jewelry company1 (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%)
Royal Unibrew1 (0%)—
SAP—1 (0%)
SAS1 (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%)
Schenker1 (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 Interactive1 (0%)2 (0%)
Target—1 (0%)
Technip Energies—1 (0%)
Tesla—3 (1%)
Thyssenkrupp—1 (0%)
UK markets3 (1%)3 (1%)
US Real Estate—1 (0%)
US Soybean—1 (0%)
US pharmaceutical sector1 (0%)—
USA36 (12%)57 (9%)
USD/JPY1 (0%)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%)
Vincorion—1 (0%)
Volvo Cars1 (0%)—
Vonovia—2 (0%)
XRP—5 (1%)
Xiaomi—1 (0%)
Xpeng—1 (0%)
Zinc—2 (0%)
bank lending rates1 (0%)—
cryptocurrencies (Crypto)—7 (1%)
general—1 (0%)
global markets28 (9%)15 (2%)
insurance sector1 (0%)—
mine equipment suppliers1 (0%)—
online retail / e-commerce—1 (0%)
professional services1 (0%)—
restaurant—1 (0%)
technology stocks (Tech)24 (8%)98 (15%)
video game1 (0%)—

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Frequently Asked Questions

Which is more reliable: Borsen DK or wallstreet-online Nachrichten?▼
Borsen DK (39.5%) 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 Borsen DK and wallstreet-online Nachrichten both cover?▼
They share 21 market contexts: Alphabet, Apple, Asian stocks, Bitcoin, Commodities, DAX, EUR/USD, European natural gas, European stocks, Gold, Japanese stocks, NASDAQ, Nike, Novo Nordisk, Oil, Take-Two Interactive, UK markets, USA, USD/JPY, 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.