CNBCvsCryptoPotato
CNBC (38.6 % Trefferquote) vs. CryptoPotato (34.9 % Trefferquote): wie oft der Schlagzeilen-Ton jeder Quelle zur späteren Kursbewegung passte.
Keine schnitt gegen den Zufall besser ab als die andere
Basierend auf 3910 bzw. 2197 geprüften Schlagzeilen
Trefferquote
Geprüfte Meldungen
Analysierte Artikel
Durchschn. Relevanz
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
CNBC
CryptoPotato
Marktkontext-Abdeckung
| Trefferquote nach Markt | CNBC | CryptoPotato |
|---|---|---|
| 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%) | — |
| Apple | 2 (0%) | — |
| Asian stocks | 51 (3%) | 1 (0%) |
| Australian stocks | 6 (0%) | — |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| Avalanche | — | 2 (0%) |
| BNB | 1 (0%) | 1 (0%) |
| Baidu | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 490 (54%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | — |
| Brazilian real | 1 (0%) | — |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Cardano | — | 23 (3%) |
| 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%) | — |
| Cronos | — | 1 (0%) |
| DAX | 7 (0%) | — |
| Dell Technologies | 2 (0%) | — |
| Dogecoin | — | 3 (0%) |
| EUR/USD | 3 (0%) | — |
| Eli Lilly | 1 (0%) | — |
| Ethereum | — | 154 (17%) |
| Etsy | 1 (0%) | — |
| European stocks | 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%) | — |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | — |
| HYPE | — | 1 (0%) |
| HYPE cryptocurrency | — | 1 (0%) |
| HYPE token | — | 1 (0%) |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Homebuilder | 1 (0%) | — |
| Hybe | 1 (0%) | — |
| Hyperliquid | — | 1 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | — |
| Japanese stocks | 20 (1%) | 1 (0%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| Korean | 1 (0%) | — |
| Lido | — | 1 (0%) |
| Lithium | 1 (0%) | — |
| Lucid Motors | 1 (0%) | — |
| Luxury sector | 2 (0%) | — |
| MANTRA | — | 1 (0%) |
| MGM Resorts | 1 (0%) | — |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| MaxLinear | 1 (0%) | — |
| Meta Platforms | 2 (0%) | — |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | — |
| NEAR | — | 1 (0%) |
| Netflix | 2 (0%) | — |
| New Zealand exporters | 1 (0%) | — |
| Nike | 3 (0%) | — |
| Novo Nordisk | 2 (0%) | — |
| Nvidia | 1 (0%) | — |
| Oil | 306 (18%) | — |
| 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%) | — |
| Pi Network | — | 3 (0%) |
| Pi Network cryptocurrency | — | 2 (0%) |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Qantas | 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%) | — |
| SIREN token | — | 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%) | — |
| Silver | 4 (0%) | — |
| SoFi Technologies | 1 (0%) | — |
| Solana | — | 6 (1%) |
| 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%) | — |
| Tokenized | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| UK markets | 21 (1%) | — |
| US Banking Sector | 1 (0%) | — |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 1 (0%) |
| USD | 2 (0%) | — |
| USD/JPY | 15 (1%) | — |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 133 (15%) |
| Xpeng | 1 (0%) | — |
| Zcash | — | 1 (0%) |
| Zebra Technologies | 1 (0%) | — |
| altcoins | — | 1 (0%) |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 77 (9%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| global markets | 136 (8%) | 1 (0%) |
| 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%) | 1 (0%) |
| uranium | 1 (0%) | — |
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Wie oft die Nachrichten richtig lagen
Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: CNBC oder CryptoPotato?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken CNBC und CryptoPotato gemeinsam ab?▼
Unsere Methodik
Eine KI ordnet den Tenor jedes Artikels für den behandelten Markt als steigend, fallend oder seitwärts ein. Ab dem ersten Kurs, zu dem ein Leser nach der Veröffentlichung hätte handeln können, prüfen wir die Bewegung nach 1, 3 und 7 Tagen. Die Trefferquote einer Quelle wird mit dem Zufall für dieselben Einschätzungen und Ergebnisse innerhalb jedes Marktes verglichen; wer über ruhige oder bewegte Märkte schreibt, gewinnt dadurch nichts. Jeder Abstand hat ein 95-%-Intervall; zeitlich nahe Prüfungen werden in Blöcken von 7 oder 14 Tagen gemeinsam neu gezogen, weil sie Marktbewegungen teilen. Ein Urteil braucht mindestens 300 Prüfungen und muss auch nach der Korrektur für die Zahl der getesteten Quellen (Holm) bestehen. Das beantwortet „Bewegte sich der Markt so?“: eine Trefferquote, keine Rendite. AIamond selbst macht keine Prognosen.