AIamond
Head-to-Head Comparison

Borsen DKvsFXStreet

Borsen DK (39.5% hit rate) vs FXStreet (36.4% 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 11412 checked headlines

Borsen DK

Ranked #4 of — sources

Metric
FXStreet

Ranked #6 of — sources

Hit rate

39.5%vs36.4%

Checked reports

509vs11,412

Articles Analyzed

332vs6,057

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%

FXStreet

Avg. Sentiment: -0.07
Bullish 38%Neutral 11%Bearish 51%

Market Context Coverage

Hit rate by marketBorsen DKFXStreet
ALK-Abelló1 (0%)—
AMD—1 (0%)
APAC FX—2 (0%)
ASEAN FX—1 (0%)
AUD/JPY—35 (1%)
AUD/NZD—5 (0%)
AUD/USD—87 (2%)
Alphabet1 (0%)—
Aluminium—5 (0%)
Amazon—2 (0%)
Anthropic IPO1 (0%)—
Apple1 (0%)1 (0%)
Asia FX—3 (0%)
Asian FX—7 (0%)
Asian stocks29 (10%)65 (1%)
Australian stocks—114 (2%)
BNB—2 (0%)
BRL/USD—3 (0%)
Bitcoin1 (0%)77 (2%)
Boozt Group1 (0%)—
CAD—7 (0%)
CAD/USD—13 (0%)
CEE FX—10 (0%)
CEE exports—1 (0%)
CHF/EUR—1 (0%)
CHF/JPY—1 (0%)
CNY—1 (0%)
CNY/USD—2 (0%)
Canadian Dollar—5 (0%)
Canadian markets—1 (0%)
Canadian rates—1 (0%)
Cardano—8 (0%)
Carlsberg1 (0%)—
Carlsberg IPO1 (0%)—
China macro—1 (0%)
Chinese GDP—1 (0%)
Chinese Yuan—1 (0%)
Chinese credit—1 (0%)
Chinese economy—1 (0%)
Chinese macro data—1 (0%)
Chinese markets—2 (0%)
Cocoa Futures—1 (0%)
Coloplast1 (0%)—
Coloplast, Danish medtech company1 (0%)—
Commodities1 (0%)—
Copenhagen housing2 (1%)—
Copenhagen real estate1 (0%)—
Copper—14 (0%)
Czech Crown—1 (0%)
DAX3 (1%)20 (0%)
DSV2 (1%)—
DXY—4 (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%)—
Demant2 (1%)—
Denison Mine—1 (0%)
Dogecoin—13 (0%)
Dollar Index—1 (0%)
EUR/CAD—1 (0%)
EUR/CHF—1 (0%)
EUR/GBP—29 (1%)
EUR/JPY—37 (1%)
EUR/PLN—1 (0%)
EUR/SEK—1 (0%)
EUR/USD1 (0%)572 (11%)
Estée Lauder—1 (0%)
Ethereum—10 (0%)
European Natural Gas—1 (0%)
European gas—1 (0%)
European natural gas1 (0%)—
European stocks47 (16%)124 (2%)
Eurozone macro—2 (0%)
FLSmidth mining equipment company1 (0%)—
Forex—1 (0%)
GBP/JPY—37 (1%)
GBP/USD—526 (10%)
GN Store Group1 (0%)—
Genmab3 (1%)—
Gold3 (1%)510 (10%)
Goldman Sachs—1 (0%)
Google—1 (0%)
Hims & Hers Health—1 (0%)
Hong Kong SME Business—1 (0%)
Hungarian Forint—6 (0%)
Hungarian economy—1 (0%)
IDR/USD—5 (0%)
INR—1 (0%)
INR/USD—4 (0%)
ISS A/S1 (0%)—
Indian stocks—90 (2%)
Indonesia—2 (0%)
Indonesia Inflation—1 (0%)
Indonesian Rupiah—9 (0%)
Indonesian macroeconomics—1 (0%)
Indonesian markets—1 (0%)
Japanese stocks2 (1%)91 (2%)
KOSPI—1 (0%)
KRW—5 (0%)
KRW/KOSPI—1 (0%)
KRW/USD—4 (0%)
Korean Won—2 (0%)
Korean markets—1 (0%)
Lundbeck1 (0%)—
MENA FX—1 (0%)
MYR—1 (0%)
MYR/USD—4 (0%)
Maersk1 (0%)—
Maersk / Shipping1 (0%)—
Mastercard Inc—1 (0%)
Mendole1 (0%)—
Meta—1 (0%)
Mexican Peso—1 (0%)
NASDAQ4 (1%)45 (1%)
NBCC—1 (0%)
NOK—2 (0%)
NOK/EUR—1 (0%)
NOK/SEK—1 (0%)
NOK/USD—2 (0%)
NZD—5 (0%)
NZD/USD—18 (0%)
Natural Gas—3 (0%)
New Zealand—1 (0%)
New Zealand Trade Balance—1 (0%)
New Zealand markets—2 (0%)
Nike1 (0%)—
Nordea Bank1 (0%)—
Norden A/S1 (0%)—
Norwegian Krone—5 (0%)
Novo Nordisk10 (3%)1 (0%)
Novo Nordisk, Danish1 (0%)—
Novonesis1 (0%)—
OKLO—1 (0%)
Oil43 (15%)522 (10%)
PBR—1 (0%)
PHP—1 (0%)
PHP/USD—1 (0%)
PLN/EUR—1 (0%)
Pandora1 (0%)—
Pandora jewelry company1 (0%)—
Pandora, Danish jewelry company1 (0%)—
Pfizer—1 (0%)
Philippine Peso—1 (0%)
Pi Network—3 (0%)
Polish Zloty—4 (0%)
Ralph Lauren—1 (0%)
Romanian Leu—1 (0%)
Royal Unibrew1 (0%)—
SAS1 (0%)—
SEK—1 (0%)
SEK/USD—1 (0%)
SGD—2 (0%)
SGD/SGDNEER—1 (0%)
SGD/USD—6 (0%)
Schenker1 (0%)—
Silver—222 (4%)
Singapore CPI—1 (0%)
Singapore Economy—1 (0%)
Singapore GDP—1 (0%)
Singapore macro—1 (0%)
Solana—5 (0%)
South African Rand—2 (0%)
South Korean Won—1 (0%)
South Korean markets—2 (0%)
South Korean monetary policy—1 (0%)
Swedish Krona—1 (0%)
Swedish interest rates—1 (0%)
Swiss Franc—3 (0%)
Synthetix—1 (0%)
THB/USD—1 (0%)
Taiwan Dollar—1 (0%)
Taiwan macro—1 (0%)
Taiwan tech exports—1 (0%)
Take-Two Interactive1 (0%)—
Thai Baht—7 (0%)
Travelers Insurance—1 (0%)
Turkish Lira—3 (0%)
UK markets3 (1%)127 (2%)
US Dollar—9 (0%)
US Dollar Index—19 (0%)
US pharmaceutical sector1 (0%)—
USA36 (12%)540 (10%)
USD—19 (0%)
USD Index—3 (0%)
USD/CAD—45 (1%)
USD/CHF—16 (0%)
USD/CNH—14 (0%)
USD/CNY—1 (0%)
USD/IDR—8 (0%)
USD/INR—7 (0%)
USD/JPY1 (0%)693 (13%)
USD/MXN—3 (0%)
USD/MYR—3 (0%)
USD/PHP—2 (0%)
USD/SGD—13 (0%)
USD/TRY—1 (0%)
USD/TWD—2 (0%)
USD/VND—1 (0%)
USD/ZAR—2 (0%)
USDCAD—1 (0%)
Volvo Cars1 (0%)—
XRP—30 (1%)
bank lending rates1 (0%)—
cryptocurrencies (Crypto)—34 (1%)
forex markets—1 (0%)
global markets28 (9%)76 (2%)
insurance sector1 (0%)—
mine equipment suppliers1 (0%)—
professional services1 (0%)—
technology stocks (Tech)24 (8%)49 (1%)
video game1 (0%)—

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Frequently Asked Questions

Which is more reliable: Borsen DK or FXStreet?▼
Borsen DK (39.5%) and FXStreet (36.4%) 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 FXStreet both cover?▼
They share 16 market contexts: Apple, Asian stocks, Bitcoin, DAX, EUR/USD, European stocks, Gold, Japanese stocks, NASDAQ, Novo Nordisk, Oil, 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.