AIamond
Head-to-Head Comparison

FXStreetvsU.Today

FXStreet (36.4% hit rate) vs U.Today (44.7% hit rate): how often each source’s headline tone matched the later price move.

Neither did better against chance than the other

Based on 11412 and 1748 checked headlines

FXStreet

Ranked #6 of — sources

Metric
U.Today

Ranked #2 of — sources

Hit rate

36.4%vs44.7%

Checked reports

11,412vs1,748

Articles Analyzed

6,057vs949

Avg. Relevance

-vs-

Sentiment & Bias Analysis

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

Sentiment Distribution

FXStreet

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

U.Today

Avg. Sentiment: 0.01
Bullish 49%Neutral 3%Bearish 48%

Market Context Coverage

Hit rate by marketFXStreetU.Today
AMD1 (0%)—
APAC FX2 (0%)—
ASEAN FX1 (0%)—
AUD/JPY35 (1%)—
AUD/NZD5 (0%)—
AUD/USD87 (2%)—
Aluminium5 (0%)—
Amazon2 (0%)—
Apple1 (0%)—
Asia FX3 (0%)—
Asian FX7 (0%)—
Asian stocks65 (1%)—
Australian stocks114 (2%)—
BNB2 (0%)7 (1%)
BRL/USD3 (0%)—
Bitcoin77 (2%)364 (41%)
CAD7 (0%)—
CAD/USD13 (0%)—
CEE FX10 (0%)—
CEE exports1 (0%)—
CHF/EUR1 (0%)—
CHF/JPY1 (0%)—
CNY1 (0%)—
CNY/USD2 (0%)—
Canadian Dollar5 (0%)—
Canadian markets1 (0%)—
Canadian rates1 (0%)—
Cardano8 (0%)21 (2%)
Chainlink—2 (0%)
China macro1 (0%)—
Chinese GDP1 (0%)—
Chinese Yuan1 (0%)—
Chinese credit1 (0%)—
Chinese economy1 (0%)—
Chinese macro data1 (0%)—
Chinese markets2 (0%)—
Cocoa Futures1 (0%)—
Copper14 (0%)—
Czech Crown1 (0%)—
DAX20 (0%)—
DXY4 (0%)—
Denison Mine1 (0%)—
Dogecoin13 (0%)32 (4%)
Dollar Index1 (0%)—
EUR/CAD1 (0%)—
EUR/CHF1 (0%)—
EUR/GBP29 (1%)—
EUR/JPY37 (1%)—
EUR/PLN1 (0%)—
EUR/SEK1 (0%)—
EUR/USD572 (11%)—
Estée Lauder1 (0%)—
Ethereum10 (0%)39 (4%)
European Natural Gas1 (0%)—
European gas1 (0%)—
European stocks124 (2%)—
Eurozone macro2 (0%)—
Forex1 (0%)—
GBP/JPY37 (1%)—
GBP/USD526 (10%)—
Gold510 (10%)—
Goldman Sachs1 (0%)—
Google1 (0%)—
HYPE/Hyperliquid—1 (0%)
Hims & Hers Health1 (0%)—
Hong Kong SME Business1 (0%)—
Hungarian Forint6 (0%)—
Hungarian economy1 (0%)—
Hyperliquid—5 (1%)
IDR/USD5 (0%)—
INR1 (0%)—
INR/USD4 (0%)—
Indian stocks90 (2%)—
Indonesia2 (0%)—
Indonesia Inflation1 (0%)—
Indonesian Rupiah9 (0%)—
Indonesian macroeconomics1 (0%)—
Indonesian markets1 (0%)—
Japanese stocks91 (2%)—
KOSPI1 (0%)—
KRW5 (0%)—
KRW/KOSPI1 (0%)—
KRW/USD4 (0%)—
Korean Won2 (0%)—
Korean markets1 (0%)—
MENA FX1 (0%)—
MEXC—1 (0%)
MYR1 (0%)—
MYR/USD4 (0%)—
Mastercard Inc1 (0%)—
Meta1 (0%)—
Mexican Peso1 (0%)—
NASDAQ45 (1%)1 (0%)
NBCC1 (0%)—
NEAR Protocol—2 (0%)
NOK2 (0%)—
NOK/EUR1 (0%)—
NOK/SEK1 (0%)—
NOK/USD2 (0%)—
NZD5 (0%)—
NZD/USD18 (0%)—
Natural Gas3 (0%)—
New Zealand1 (0%)—
New Zealand Trade Balance1 (0%)—
New Zealand markets2 (0%)—
Norwegian Krone5 (0%)—
Novo Nordisk1 (0%)—
OKLO1 (0%)—
Oil522 (10%)—
PBR1 (0%)—
PHP1 (0%)—
PHP/USD1 (0%)—
PLN/EUR1 (0%)—
Pfizer1 (0%)—
Philippine Peso1 (0%)—
Pi Network3 (0%)—
Polish Zloty4 (0%)—
Polkadot—1 (0%)
Quant—1 (0%)
Ralph Lauren1 (0%)—
Romanian Leu1 (0%)—
SEK1 (0%)—
SEK/USD1 (0%)—
SGD2 (0%)—
SGD/SGDNEER1 (0%)—
SGD/USD6 (0%)—
Shiba Inu—10 (1%)
Shiba Inu cryptocurrency—1 (0%)
Shiba Inu token—1 (0%)
Silver222 (4%)—
Singapore CPI1 (0%)—
Singapore Economy1 (0%)—
Singapore GDP1 (0%)—
Singapore macro1 (0%)—
Solana5 (0%)20 (2%)
South African Rand2 (0%)—
South Korean Won1 (0%)—
South Korean markets2 (0%)—
South Korean monetary policy1 (0%)—
Stellar/XLM—1 (0%)
Swedish Krona1 (0%)—
Swedish interest rates1 (0%)—
Swiss Franc3 (0%)—
Synthetix1 (0%)—
THB/USD1 (0%)—
Taiwan Dollar1 (0%)—
Taiwan macro1 (0%)—
Taiwan tech exports1 (0%)—
Thai Baht7 (0%)—
Travelers Insurance1 (0%)—
Turkish Lira3 (0%)—
UK markets127 (2%)1 (0%)
US Dollar9 (0%)—
US Dollar Index19 (0%)—
USA540 (10%)—
USD19 (0%)—
USD Index3 (0%)—
USD/CAD45 (1%)—
USD/CHF16 (0%)—
USD/CNH14 (0%)—
USD/CNY1 (0%)—
USD/IDR8 (0%)—
USD/INR7 (0%)—
USD/JPY693 (13%)—
USD/MXN3 (0%)—
USD/MYR3 (0%)—
USD/PHP2 (0%)—
USD/SGD13 (0%)—
USD/TRY1 (0%)—
USD/TWD2 (0%)—
USD/VND1 (0%)—
USD/ZAR2 (0%)—
USDCAD1 (0%)—
XRP30 (1%)246 (28%)
Zcash—2 (0%)
cryptocurrencies (Crypto)34 (1%)128 (14%)
forex markets1 (0%)—
global markets76 (2%)—
technology stocks (Tech)49 (1%)—

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Each source’s hit rate, compared with chance

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Frequently Asked Questions

Which is more reliable: FXStreet or U.Today?▼
FXStreet (36.4%) and U.Today (44.7%) 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 FXStreet and U.Today both cover?▼
They share 10 market contexts: BNB, Bitcoin, Cardano, Dogecoin, Ethereum, NASDAQ, Solana, UK markets, XRP, cryptocurrencies (Crypto). 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.