AIamond
Head-to-Head Comparison

BeInCryptovsFXStreet

BeInCrypto (38.2% 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 3020 and 11412 checked headlines

BeInCrypto

Ranked #8 of — sources

Metric
FXStreet

Ranked #6 of — sources

Hit rate

38.2%vs36.4%

Checked reports

3,020vs11,412

Articles Analyzed

1,553vs6,057

Avg. Relevance

-vs-

Sentiment & Bias Analysis

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

Sentiment Distribution

BeInCrypto

Avg. Sentiment: -0.12
Bullish 39%Neutral 4%Bearish 57%

FXStreet

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

Market Context Coverage

Hit rate by marketBeInCryptoFXStreet
AMC/Robinhood tokenized1 (0%)—
AMD—1 (0%)
APAC FX—2 (0%)
ARKM Token1 (0%)—
ASEAN FX—1 (0%)
AUD/JPY—35 (1%)
AUD/NZD—5 (0%)
AUD/USD—87 (2%)
Alphabet1 (0%)—
Aluminium—5 (0%)
Amazon1 (0%)2 (0%)
Apple1 (0%)1 (0%)
Arbitrum1 (0%)—
Argentine Peso1 (0%)—
Asia FX—3 (0%)
Asian FX—7 (0%)
Asian stocks20 (1%)65 (1%)
Australian stocks3 (0%)114 (2%)
Avalanche1 (0%)—
BLUR Token1 (0%)—
BNB3 (0%)2 (0%)
BRL/USD—3 (0%)
Balancer1 (0%)—
Banking & Stablecoins1 (0%)—
Berkshire Hathaway1 (0%)—
Bitcoin441 (30%)77 (2%)
Broadcom1 (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%)
Cardano26 (2%)8 (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%)
Circle1 (0%)—
Circle Arc blockchain1 (0%)—
Cocoa Futures—1 (0%)
Coinbase1 (0%)—
Commodities vs1 (0%)—
Copper2 (0%)14 (0%)
CoreWeave1 (0%)—
Crocs1 (0%)—
Czech Crown—1 (0%)
DAX1 (0%)20 (0%)
DXY—4 (0%)
Dell Technologies2 (0%)—
Denison Mine—1 (0%)
Dogecoin1 (0%)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/USD—572 (11%)
Estée Lauder—1 (0%)
Ethereum95 (7%)10 (0%)
European Natural Gas—1 (0%)
European gas—1 (0%)
European stocks5 (0%)124 (2%)
Eurozone macro—2 (0%)
Forex—1 (0%)
GBP/JPY—37 (1%)
GBP/USD1 (0%)526 (10%)
Getty Images1 (0%)—
Gold58 (4%)510 (10%)
Goldman Sachs1 (0%)1 (0%)
Google—1 (0%)
Healthcare1 (0%)—
Hims & Hers Health—1 (0%)
Hong Kong SME Business—1 (0%)
Hungarian Forint—6 (0%)
Hungarian economy—1 (0%)
Hyperliquid2 (0%)—
ICP1 (0%)—
IDR/USD—5 (0%)
INR—1 (0%)
INR/USD—4 (0%)
Indian stocks7 (1%)90 (2%)
Indonesia—2 (0%)
Indonesia Inflation—1 (0%)
Indonesian Rupiah—9 (0%)
Indonesian macroeconomics—1 (0%)
Indonesian markets—1 (0%)
Japanese stocks13 (1%)91 (2%)
KOSPI—1 (0%)
KRW—5 (0%)
KRW/KOSPI—1 (0%)
KRW/USD—4 (0%)
Korean1 (0%)—
Korean Tech IPO1 (0%)—
Korean Won1 (0%)2 (0%)
Korean bond1 (0%)—
Korean markets1 (0%)1 (0%)
MENA FX—1 (0%)
MYR—1 (0%)
MYR/USD—4 (0%)
Mastercard Inc—1 (0%)
Meta1 (0%)1 (0%)
Mexican Peso—1 (0%)
MicroStrategy1 (0%)—
Microsoft1 (0%)—
Monero1 (0%)—
NASDAQ12 (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%)
Netflix1 (0%)—
New Zealand—1 (0%)
New Zealand Trade Balance—1 (0%)
New Zealand markets—2 (0%)
Nike1 (0%)—
Norwegian Krone—5 (0%)
Novo Nordisk—1 (0%)
Nvidia1 (0%)—
OKLO—1 (0%)
Oil66 (5%)522 (10%)
PBR—1 (0%)
PHP—1 (0%)
PHP/USD—1 (0%)
PLN/EUR—1 (0%)
Palantir1 (0%)—
Pfizer—1 (0%)
Philippine Peso—1 (0%)
Pi Network—3 (0%)
Polish Zloty—4 (0%)
Polkadot1 (0%)—
Quant1 (0%)—
Ralph Lauren—1 (0%)
Ralph Lauren apparel1 (0%)—
Romanian Leu—1 (0%)
SEK—1 (0%)
SEK/USD—1 (0%)
SGD—2 (0%)
SGD/SGDNEER—1 (0%)
SGD/USD—6 (0%)
SK Hynix1 (0%)—
Salesforce1 (0%)—
Samsung Electronics1 (0%)—
Securitize1 (0%)—
Shipping/Tanker ETFs1 (0%)—
Silver19 (1%)222 (4%)
Singapore CPI—1 (0%)
Singapore Economy—1 (0%)
Singapore GDP—1 (0%)
Singapore macro—1 (0%)
Solana50 (3%)5 (0%)
South African Rand—2 (0%)
South Korean Won—1 (0%)
South Korean markets—2 (0%)
South Korean monetary policy—1 (0%)
SpaceX2 (0%)—
Starknet1 (0%)—
Swedish Krona—1 (0%)
Swedish interest rates—1 (0%)
Swiss Franc—3 (0%)
Synthetix—1 (0%)
THB/USD—1 (0%)
TRON1 (0%)—
Taiwan Dollar—1 (0%)
Taiwan macro—1 (0%)
Taiwan tech exports—1 (0%)
Tesla3 (0%)—
Thai Baht—7 (0%)
Tokenization1 (0%)—
Travelers Insurance—1 (0%)
Tron1 (0%)—
Turkish Lira—3 (0%)
UK markets5 (0%)127 (2%)
UNI1 (0%)—
US Dollar—9 (0%)
US Dollar Index1 (0%)19 (0%)
US Interest Rates1 (0%)—
US government borrowing costs1 (0%)—
USA84 (6%)540 (10%)
USD—19 (0%)
USD Index—3 (0%)
USD/CAD—45 (1%)
USD/CHF—16 (0%)
USD/CNH—14 (0%)
USD/CNY1 (0%)1 (0%)
USD/IDR—8 (0%)
USD/INR—7 (0%)
USD/JPY7 (1%)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%)
USDT1 (0%)—
Uniswap1 (0%)—
XRP95 (7%)30 (1%)
Zcash3 (0%)—
bank1 (0%)—
bond yields1 (0%)—
bonds1 (0%)—
consumer1 (0%)—
cryptocurrencies1 (0%)—
cryptocurrencies (Crypto)226 (15%)34 (1%)
five Goldman Sachs-rated1 (0%)—
forex markets—1 (0%)
global markets34 (2%)76 (2%)
technology stocks (Tech)121 (8%)49 (1%)

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Frequently Asked Questions

Which is more reliable: BeInCrypto or FXStreet?▼
BeInCrypto (38.2%) 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 BeInCrypto and FXStreet both cover?▼
They share 33 market contexts: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Cardano, Copper, DAX, Dogecoin, Ethereum, European stocks, GBP/USD, Gold, Goldman Sachs, Indian stocks, Japanese stocks, Korean Won, Korean markets, Meta, NASDAQ, Oil, Silver, Solana, UK markets, US Dollar Index, USA, USD/CNY, USD/JPY, XRP, 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.