Head-to-Head Comparison
CNBCvsFXStreet
CNBC (38.6% 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 3910 and 11412 checked headlines
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
CNBC
Avg. Sentiment: 0.02
Bullish 51%Neutral 5%Bearish 45%
FXStreet
Avg. Sentiment: -0.07
Bullish 38%Neutral 11%Bearish 51%
Market Context Coverage
| Hit rate by market | CNBC | FXStreet |
|---|---|---|
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AST SpaceMobile | 1 (0%) | — |
| AT&T | 1 (0%) | — |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airline | 1 (0%) | — |
| Aluminium | — | 5 (0%) |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | 2 (0%) |
| Apple | 2 (0%) | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 51 (3%) | 65 (1%) |
| Australian stocks | 6 (0%) | 114 (2%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| BNB | 1 (0%) | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Baidu | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 77 (2%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | — |
| Brazilian real | 1 (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%) |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China macro | — | 1 (0%) |
| China trade data | 1 (0%) | — |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese biopharma | 1 (0%) | — |
| Chinese credit | — | 1 (0%) |
| Chinese economy | 1 (0%) | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Chipotle Mexican Grill | 1 (0%) | — |
| Cocoa Futures | — | 1 (0%) |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copper | 3 (0%) | 14 (0%) |
| CoreWeave | 4 (0%) | — |
| Czech Crown | — | 1 (0%) |
| DAX | 7 (0%) | 20 (0%) |
| DXY | — | 4 (0%) |
| Dell Technologies | 2 (0%) | — |
| 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/USD | 3 (0%) | 572 (11%) |
| Eli Lilly | 1 (0%) | — |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| Etsy | 1 (0%) | — |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European stocks | 57 (3%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Forex | — | 1 (0%) |
| Fortinet | 1 (0%) | — |
| French government bonds | 1 (0%) | — |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | 1 (0%) | 526 (10%) |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Hims & Hers Health | — | 1 (0%) |
| Homebuilder | 1 (0%) | — |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| Hybe | 1 (0%) | — |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 20 (1%) | 91 (2%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Korean | 1 (0%) | — |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| Lithium | 1 (0%) | — |
| Lucid Motors | 1 (0%) | — |
| Luxury sector | 2 (0%) | — |
| MENA FX | — | 1 (0%) |
| MGM Resorts | 1 (0%) | — |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| Mastercard Inc | — | 1 (0%) |
| MaxLinear | 1 (0%) | — |
| Meta | — | 1 (0%) |
| Meta Platforms | 2 (0%) | — |
| Mexican Peso | — | 1 (0%) |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 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%) |
| Netflix | 2 (0%) | — |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand exporters | 1 (0%) | — |
| New Zealand markets | — | 2 (0%) |
| Nike | 3 (0%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | 2 (0%) | 1 (0%) |
| Nvidia | 1 (0%) | — |
| OKLO | — | 1 (0%) |
| Oil | 306 (18%) | 522 (10%) |
| Oracle | 2 (0%) | — |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Palantir | 2 (0%) | — |
| Palantir Technologies | 1 (0%) | — |
| Paramount/Warner Bros merger | 1 (0%) | — |
| Peloton | 1 (0%) | — |
| Penguin Solutions | 1 (0%) | — |
| PepsiCo | 1 (0%) | — |
| Pfizer | — | 1 (0%) |
| Pharmaceutical | 1 (0%) | — |
| Pharmaceutical ETF | 1 (0%) | — |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Qantas | 1 (0%) | — |
| Ralph Lauren | — | 1 (0%) |
| Refiner | 1 (0%) | — |
| Restaurant Brands International | 1 (0%) | — |
| Restaurant industry | 1 (0%) | — |
| Riot Platforms | 1 (0%) | — |
| Rivian | 2 (0%) | — |
| Robinhood | 2 (0%) | — |
| Roku | 1 (0%) | — |
| Romanian Leu | — | 1 (0%) |
| Royal Caribbean Cruises | 1 (0%) | — |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| SK Hynix | 1 (0%) | — |
| Salesforce | 1 (0%) | — |
| Samsung Electronics | 1 (0%) | — |
| Saudi Aramco | 1 (0%) | — |
| Seven & i Holdings | 1 (0%) | — |
| Sherwin-Williams | 1 (0%) | — |
| Silver | 4 (0%) | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| SoFi Technologies | 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%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | — |
| SpaceX IPO | 1 (0%) | — |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | 2 (0%) | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan economy | 1 (0%) | — |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Tapestry Inc | 1 (0%) | — |
| Target Corp | 1 (0%) | — |
| Tesla | 2 (0%) | — |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| Turkish Lira | — | 3 (0%) |
| UK markets | 21 (1%) | 127 (2%) |
| US Banking Sector | 1 (0%) | — |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 540 (10%) |
| USD | 2 (0%) | 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/JPY | 15 (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%) |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 30 (1%) |
| Xpeng | 1 (0%) | — |
| Zebra Technologies | 1 (0%) | — |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 34 (1%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| forex markets | — | 1 (0%) |
| global markets | 136 (8%) | 76 (2%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| prediction markets / Robinhood | 1 (0%) | — |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 49 (1%) |
| uranium | 1 (0%) | — |
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Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: CNBC or FXStreet?▼
CNBC (38.6%) 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 CNBC and FXStreet both cover?▼
They share 27 market contexts: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Chinese economy, Copper, DAX, EUR/USD, European stocks, GBP/USD, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD, 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.