Head-to-Head Comparison
BeInCryptovsCNBC
BeInCrypto (38.2% hit rate) vs CNBC (38.6% 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 3910 checked headlines
Hit rate
38.2%vs38.6%
Checked reports
3,020vs3,910
Articles Analyzed
1,553vs1,937
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%
CNBC
Avg. Sentiment: 0.02
Bullish 51%Neutral 5%Bearish 45%
Market Context Coverage
| Hit rate by market | BeInCrypto | CNBC |
|---|---|---|
| AMC/Robinhood tokenized | 1 (0%) | — |
| ARKM Token | 1 (0%) | — |
| AST SpaceMobile | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| Adobe, single software | — | 1 (0%) |
| Affirm Holdings | — | 1 (0%) |
| Airline | — | 1 (0%) |
| Alphabet | 1 (0%) | — |
| Aluminum | — | 2 (0%) |
| Amazon | 1 (0%) | 4 (0%) |
| Apple | 1 (0%) | 2 (0%) |
| Arbitrum | 1 (0%) | — |
| Argentine Peso | 1 (0%) | — |
| Asian stocks | 20 (1%) | 51 (3%) |
| Australian stocks | 3 (0%) | 6 (0%) |
| Automotive industry | — | 1 (0%) |
| Autonomous driving | — | 1 (0%) |
| Avalanche | 1 (0%) | — |
| BLUR Token | 1 (0%) | — |
| BNB | 3 (0%) | 1 (0%) |
| Baidu | — | 1 (0%) |
| Balancer | 1 (0%) | — |
| Banking & Stablecoins | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | 1 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 441 (30%) | 25 (2%) |
| Block Inc | — | 1 (0%) |
| Booking Holdings | — | 1 (0%) |
| Brazilian | — | 2 (0%) |
| Brazilian real | — | 1 (0%) |
| Broadcom | 1 (0%) | — |
| CVS Health, healthcare/managed care | — | 1 (0%) |
| Cardano | 26 (2%) | — |
| ChargePoint | — | 1 (0%) |
| China industrial profits | — | 1 (0%) |
| China trade data | — | 1 (0%) |
| Chinese biopharma | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chipotle Mexican Grill | — | 1 (0%) |
| Circle | 1 (0%) | — |
| Circle Arc blockchain | 1 (0%) | — |
| Coinbase | 1 (0%) | 1 (0%) |
| Commodities | — | 1 (0%) |
| Commodities vs | 1 (0%) | — |
| Copper | 2 (0%) | 3 (0%) |
| CoreWeave | 1 (0%) | 4 (0%) |
| Crocs | 1 (0%) | — |
| DAX | 1 (0%) | 7 (0%) |
| Dell Technologies | 2 (0%) | 2 (0%) |
| Dogecoin | 1 (0%) | — |
| EUR/USD | — | 3 (0%) |
| Eli Lilly | — | 1 (0%) |
| Ethereum | 95 (7%) | — |
| Etsy | — | 1 (0%) |
| European stocks | 5 (0%) | 57 (3%) |
| Expedia Group | — | 1 (0%) |
| Ferrari | — | 1 (0%) |
| Ford Motor Company | — | 1 (0%) |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 1 (0%) |
| GBP/USD | 1 (0%) | 1 (0%) |
| Generac Holdings | — | 1 (0%) |
| Getty Images | 1 (0%) | — |
| Gold | 58 (4%) | 34 (2%) |
| Goldman Sachs | 1 (0%) | — |
| Hanwha Ocean | — | 1 (0%) |
| Healthcare | 1 (0%) | — |
| Hewlett Packard Enterprise | — | 1 (0%) |
| Homebuilder | — | 1 (0%) |
| Hybe | — | 1 (0%) |
| Hyperliquid | 2 (0%) | — |
| ICP | 1 (0%) | — |
| Iceland EU vote | — | 1 (0%) |
| Indian stocks | 7 (1%) | 23 (1%) |
| Japanese stocks | 13 (1%) | 20 (1%) |
| JetBlue | — | 1 (0%) |
| Johnson & Johnson | — | 1 (0%) |
| Korean | 1 (0%) | 1 (0%) |
| Korean Tech IPO | 1 (0%) | — |
| Korean Won | 1 (0%) | — |
| Korean bond | 1 (0%) | — |
| Korean markets | 1 (0%) | — |
| Lithium | — | 1 (0%) |
| Lucid Motors | — | 1 (0%) |
| Luxury sector | — | 2 (0%) |
| MGM Resorts | — | 1 (0%) |
| Madison Air IPO | — | 1 (0%) |
| Mastercard | — | 1 (0%) |
| MaxLinear | — | 1 (0%) |
| Meta | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| MicroStrategy | 1 (0%) | — |
| Micron Technology | — | 1 (0%) |
| Microsoft | 1 (0%) | 1 (0%) |
| Monero | 1 (0%) | — |
| Municipal Bonds | — | 1 (0%) |
| NASDAQ | 12 (1%) | 48 (3%) |
| Netflix | 1 (0%) | 2 (0%) |
| New Zealand exporters | — | 1 (0%) |
| Nike | 1 (0%) | 3 (0%) |
| Novo Nordisk | — | 2 (0%) |
| Nvidia | 1 (0%) | 1 (0%) |
| Oil | 66 (5%) | 306 (18%) |
| Oracle | — | 2 (0%) |
| Palantir | 1 (0%) | 2 (0%) |
| Palantir Technologies | — | 1 (0%) |
| Paramount/Warner Bros merger | — | 1 (0%) |
| Peloton | — | 1 (0%) |
| Penguin Solutions | — | 1 (0%) |
| PepsiCo | — | 1 (0%) |
| Pharmaceutical | — | 1 (0%) |
| Pharmaceutical ETF | — | 1 (0%) |
| Polkadot | 1 (0%) | — |
| Pop Mart | — | 1 (0%) |
| Private Credit | — | 1 (0%) |
| Qantas | — | 1 (0%) |
| Quant | 1 (0%) | — |
| Ralph Lauren apparel | 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%) |
| Royal Caribbean Cruises | — | 1 (0%) |
| SK Hynix | 1 (0%) | 1 (0%) |
| Salesforce | 1 (0%) | 1 (0%) |
| Samsung Electronics | 1 (0%) | 1 (0%) |
| Saudi Aramco | — | 1 (0%) |
| Securitize | 1 (0%) | — |
| Seven & i Holdings | — | 1 (0%) |
| Sherwin-Williams | — | 1 (0%) |
| Shipping/Tanker ETFs | 1 (0%) | — |
| Silver | 19 (1%) | 4 (0%) |
| SoFi Technologies | — | 1 (0%) |
| Solana | 50 (3%) | — |
| South Korean rates | — | 1 (0%) |
| South Korean solar | — | 1 (0%) |
| SpaceX | 2 (0%) | — |
| SpaceX IPO | — | 1 (0%) |
| Starknet | 1 (0%) | — |
| Swiss Franc | — | 2 (0%) |
| TRON | 1 (0%) | — |
| Taiwan economy | — | 1 (0%) |
| Take-Two Interactive | — | 1 (0%) |
| Tapestry Inc | — | 1 (0%) |
| Target Corp | — | 1 (0%) |
| Tesla | 3 (0%) | 2 (0%) |
| Tokenization | 1 (0%) | — |
| Tron | 1 (0%) | — |
| Turkish | — | 1 (0%) |
| UK markets | 5 (0%) | 21 (1%) |
| UNI | 1 (0%) | — |
| US Banking Sector | — | 1 (0%) |
| US Dollar Index | 1 (0%) | — |
| US Interest Rates | 1 (0%) | — |
| US apartment rents | — | 1 (0%) |
| US government borrowing costs | 1 (0%) | — |
| US mortgage rates | — | 1 (0%) |
| US-China summit expectations | — | 1 (0%) |
| USA | 84 (6%) | 462 (27%) |
| USD | — | 2 (0%) |
| USD/CNY | 1 (0%) | — |
| USD/JPY | 7 (1%) | 15 (1%) |
| USDT | 1 (0%) | — |
| Union Pacific | — | 1 (0%) |
| Uniswap | 1 (0%) | — |
| Utilities sector | — | 1 (0%) |
| Visa | — | 1 (0%) |
| Walmart | — | 1 (0%) |
| Wendy's | — | 2 (0%) |
| West Pharma | — | 1 (0%) |
| XRP | 95 (7%) | — |
| Xpeng | — | 1 (0%) |
| Zcash | 3 (0%) | — |
| Zebra Technologies | — | 1 (0%) |
| bank | 1 (0%) | — |
| biotech | — | 1 (0%) |
| bond | — | 1 (0%) |
| bond yields | 1 (0%) | — |
| bonds | 1 (0%) | — |
| consumer | 1 (0%) | — |
| consumer stock/haircare sector | — | 1 (0%) |
| cryptocurrencies | 1 (0%) | — |
| cryptocurrencies (Crypto) | 226 (15%) | 15 (1%) |
| data storage manufacturer | — | 1 (0%) |
| defense industry | — | 1 (0%) |
| five Goldman Sachs-rated | 1 (0%) | — |
| global markets | 34 (2%) | 136 (8%) |
| 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) | 121 (8%) | 315 (19%) |
| uranium | — | 1 (0%) |
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Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: BeInCrypto or CNBC?▼
BeInCrypto (38.2%) and CNBC (38.6%) 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 CNBC both cover?▼
They share 36 market contexts: Amazon, Apple, Asian stocks, Australian stocks, BNB, Berkshire Hathaway, Bitcoin, Coinbase, Copper, CoreWeave, DAX, Dell Technologies, European stocks, GBP/USD, Gold, Indian stocks, Japanese stocks, Korean, Microsoft, NASDAQ, Netflix, Nike, Nvidia, Oil, Palantir, SK Hynix, Salesforce, Samsung Electronics, Silver, Tesla, UK markets, USA, 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.