CNBCvsTagesschau
CNBC (38.6% hit rate) vs Tagesschau (33.3% 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 943 checked headlines
Hit rate
Checked reports
Articles Analyzed
Avg. Relevance
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
CNBC
Tagesschau
Market Context Coverage
| Hit rate by market | CNBC | Tagesschau |
|---|---|---|
| AST SpaceMobile | 1 (0%) | — |
| AT&T | 1 (0%) | — |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airline | 1 (0%) | — |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | — |
| Amazon/US Tech | — | 1 (0%) |
| Apple | 2 (0%) | — |
| Asian stocks | 51 (3%) | 3 (1%) |
| Australian stocks | 6 (0%) | — |
| Automotive industry | 1 (0%) | 1 (0%) |
| Autonomous driving | 1 (0%) | — |
| BNB | 1 (0%) | 1 (0%) |
| Baidu | 1 (0%) | — |
| Beiersdorf | — | 1 (0%) |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 1 (0%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Bosch | — | 1 (0%) |
| Brazilian | 2 (0%) | — |
| Brazilian markets | — | 1 (0%) |
| Brazilian real | 1 (0%) | — |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| 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%) | — |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copper | 3 (0%) | — |
| CoreWeave | 4 (0%) | — |
| DAX | 7 (0%) | 190 (52%) |
| Dell Technologies | 2 (0%) | — |
| EUR/USD | 3 (0%) | 1 (0%) |
| Eli Lilly | 1 (0%) | — |
| Etsy | 1 (0%) | — |
| European stocks | 57 (3%) | 42 (11%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Fortinet | 1 (0%) | — |
| French government bonds | 1 (0%) | — |
| GBP/USD | 1 (0%) | — |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | — |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Homebuilder | 1 (0%) | — |
| Hybe | 1 (0%) | — |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 1 (0%) |
| Japanese stocks | 20 (1%) | 1 (0%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| Korean | 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%) | — |
| Mercedes-Benz | — | 2 (1%) |
| Meta Platforms | 2 (0%) | — |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 6 (2%) |
| Netflix | 2 (0%) | — |
| New Zealand exporters | 1 (0%) | — |
| Nike | 3 (0%) | — |
| Novo Nordisk | 2 (0%) | — |
| Nvidia | 1 (0%) | — |
| Oil | 306 (18%) | 54 (15%) |
| Oracle | 2 (0%) | — |
| Palantir | 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%) | — |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Qantas | 1 (0%) | — |
| Real Estate | — | 1 (0%) |
| Refiner | 1 (0%) | — |
| Restaurant Brands International | 1 (0%) | — |
| Restaurant industry | 1 (0%) | — |
| Rheinmetall | — | 1 (0%) |
| Riot Platforms | 1 (0%) | — |
| Rivian | 2 (0%) | — |
| Robinhood | 2 (0%) | — |
| Roku | 1 (0%) | — |
| Royal Caribbean Cruises | 1 (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%) | — |
| Siemens Energy | — | 1 (0%) |
| Silver | 4 (0%) | — |
| SoFi Technologies | 1 (0%) | — |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | — |
| SpaceX IPO | 1 (0%) | — |
| Swiss Franc | 2 (0%) | — |
| Taiwan economy | 1 (0%) | — |
| Take-Two Interactive | 1 (0%) | — |
| Tapestry Inc | 1 (0%) | — |
| Target Corp | 1 (0%) | — |
| Tesla | 2 (0%) | — |
| Turkish | 1 (0%) | — |
| UK markets | 21 (1%) | — |
| US Banking Sector | 1 (0%) | — |
| US Government Bonds | — | 1 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 14 (4%) |
| USD | 2 (0%) | — |
| USD/JPY | 15 (1%) | 1 (0%) |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Volkswagen | — | 2 (1%) |
| Volkswagen AG | — | 1 (0%) |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| Xpeng | 1 (0%) | — |
| Zebra Technologies | 1 (0%) | — |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | — |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| global markets | 136 (8%) | 22 (6%) |
| home furnishings | 1 (0%) | — |
| media M&A | — | 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%) | 17 (5%) |
| uranium | 1 (0%) | — |
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How often the news was right
Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: CNBC or Tagesschau?▼
How are these comparisons calculated?▼
What markets do CNBC and Tagesschau both cover?▼
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.