Head-to-Head Comparison
CNBCvswallstreet-online Nachrichten
CNBC (38.6% hit rate) vs wallstreet-online Nachrichten (36.8% 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 1181 checked headlines
Hit rate
38.6%vs36.8%
Checked reports
3,910vs1,181
Articles Analyzed
1,937vs651
Avg. Relevance
-vs-
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%
wallstreet-online Nachrichten
Avg. Sentiment: 0.00
Bullish 47%Neutral 3%Bearish 50%
Market Context Coverage
| Hit rate by market | CNBC | wallstreet-online Nachrichten |
|---|---|---|
| ASOS | — | 1 (0%) |
| AST SpaceMobile | 1 (0%) | — |
| AT&S | — | 1 (0%) |
| AT&T | 1 (0%) | 1 (0%) |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airbus | — | 2 (0%) |
| Airline | 1 (0%) | — |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | 2 (0%) | 3 (1%) |
| Asian stocks | 51 (3%) | 3 (1%) |
| Australian stocks | 6 (0%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | 1 (0%) | 1 (0%) |
| BYD | — | 3 (1%) |
| Baidu | 1 (0%) | — |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| Berkshire Hathaway | 1 (0%) | — |
| BioNTech | — | 2 (0%) |
| Biogen | 1 (0%) | 1 (0%) |
| Biotech | 1 (0%) | 1 (0%) |
| Bitcoin | 25 (2%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Brazilian real | 1 (0%) | — |
| Bulgarian | — | 1 (0%) |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Canadian markets | — | 1 (0%) |
| Cannabis | — | 2 (0%) |
| Carrefour | — | 1 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China trade data | 1 (0%) | — |
| Chinese biopharma | 1 (0%) | — |
| Chinese economy | 1 (0%) | — |
| Chinese solar sector | — | 1 (0%) |
| Chipotle Mexican Grill | 1 (0%) | — |
| Coca-Cola | — | 1 (0%) |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | 1 (0%) |
| Copper | 3 (0%) | 2 (0%) |
| CoreWeave | 4 (0%) | — |
| D-Wave | — | 1 (0%) |
| DAX | 7 (0%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | 2 (0%) | 1 (0%) |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| EUR/USD | 3 (0%) | 4 (1%) |
| Eli Lilly | 1 (0%) | — |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 1 (0%) |
| Etsy | 1 (0%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 57 (3%) | 40 (6%) |
| Evotec | — | 1 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Fortinet | 1 (0%) | 1 (0%) |
| French government bonds | 1 (0%) | 2 (0%) |
| GBP/USD | 1 (0%) | — |
| Generac Holdings | 1 (0%) | — |
| General Motors | — | 1 (0%) |
| Gold | 34 (2%) | 28 (4%) |
| HP | — | 1 (0%) |
| Hanwha Ocean | 1 (0%) | — |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Homebuilder | 1 (0%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hungarian markets | — | 1 (0%) |
| Hybe | 1 (0%) | — |
| IBM | — | 1 (0%) |
| IMAX | — | 1 (0%) |
| Iambic Therapeutics | — | 1 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 3 (1%) |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 20 (1%) | 2 (0%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| Korean | 1 (0%) | — |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | 1 (0%) | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lucid Motors | 1 (0%) | — |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| Luxury sector | 2 (0%) | — |
| MGM Resorts | 1 (0%) | — |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| MaxLinear | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta Platforms | 2 (0%) | 2 (0%) |
| Micron | — | 1 (0%) |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 16 (3%) |
| Nanexa | — | 1 (0%) |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | 2 (0%) | 2 (0%) |
| New Zealand exporters | 1 (0%) | — |
| NextDC | — | 1 (0%) |
| Nike | 3 (0%) | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Novo Nordisk | 2 (0%) | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| Nvidia | 1 (0%) | — |
| Oil | 306 (18%) | 96 (15%) |
| Oracle | 2 (0%) | 2 (0%) |
| Palantir | 2 (0%) | 1 (0%) |
| Palantir Technologies | 1 (0%) | — |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| Paramount/Warner Bros merger | 1 (0%) | — |
| PayPal | — | 2 (0%) |
| Peloton | 1 (0%) | — |
| Penguin Solutions | 1 (0%) | — |
| PepsiCo | 1 (0%) | — |
| Pharmaceutical | 1 (0%) | — |
| Pharmaceutical ETF | 1 (0%) | — |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| Qantas | 1 (0%) | — |
| RWE | — | 1 (0%) |
| Redcare Pharmacy | — | 1 (0%) |
| Refiner | 1 (0%) | — |
| Renk AG | — | 2 (0%) |
| Restaurant Brands International | 1 (0%) | — |
| Restaurant industry | 1 (0%) | — |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Riot Platforms | 1 (0%) | — |
| Rivian | 2 (0%) | — |
| Rivian stock, EV maker | — | 1 (0%) |
| Robinhood | 2 (0%) | — |
| Roku | 1 (0%) | — |
| Royal Caribbean Cruises | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SK Hynix | 1 (0%) | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | 1 (0%) | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | 1 (0%) | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Saudi Aramco | 1 (0%) | — |
| Seven & i Holdings | 1 (0%) | — |
| Sherwin-Williams | 1 (0%) | — |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | 4 (0%) | 11 (2%) |
| SoFi Technologies | 1 (0%) | — |
| SoftBank | — | 1 (0%) |
| South Korean | — | 1 (0%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| SpaceX IPO | 1 (0%) | — |
| Swiss Franc | 2 (0%) | 1 (0%) |
| Taiwan economy | 1 (0%) | — |
| Take-Two Interactive | 1 (0%) | 2 (0%) |
| Tapestry Inc | 1 (0%) | — |
| Target | — | 1 (0%) |
| Target Corp | 1 (0%) | — |
| Technip Energies | — | 1 (0%) |
| Tesla | 2 (0%) | 3 (1%) |
| Thyssenkrupp | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| UK markets | 21 (1%) | 3 (1%) |
| US Banking Sector | 1 (0%) | — |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 57 (9%) |
| USD | 2 (0%) | — |
| USD/JPY | 15 (1%) | 1 (0%) |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | 1 (0%) | 1 (0%) |
| Uranium | — | 1 (0%) |
| Utilities sector | 1 (0%) | — |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vincorion | — | 1 (0%) |
| Visa | 1 (0%) | — |
| Vonovia | — | 2 (0%) |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | 1 (0%) | 1 (0%) |
| Zebra Technologies | 1 (0%) | — |
| Zinc | — | 2 (0%) |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 7 (1%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| general | — | 1 (0%) |
| global markets | 136 (8%) | 15 (2%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| online retail / e-commerce | — | 1 (0%) |
| prediction markets / Robinhood | 1 (0%) | — |
| restaurant | — | 1 (0%) |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 98 (15%) |
| uranium | 1 (0%) | — |
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Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: CNBC or wallstreet-online Nachrichten?▼
CNBC (38.6%) and wallstreet-online Nachrichten (36.8%) 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 wallstreet-online Nachrichten both cover?▼
They share 46 market contexts: AT&T, Amazon, Apple, Asian stocks, Australian stocks, BNB, Biogen, Biotech, Bitcoin, Brazilian, Commodities, Copper, DAX, Dell Technologies, EUR/USD, European stocks, Fortinet, French government bonds, Gold, Indian stocks, Japanese stocks, Lithium, Meta Platforms, NASDAQ, Netflix, Nike, Novo Nordisk, Oil, Oracle, Palantir, SK Hynix, Salesforce, Samsung Electronics, Silver, South Korean solar, Swiss Franc, Take-Two Interactive, Tesla, UK markets, USA, USD/JPY, Union Pacific, Xpeng, 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.