Borsen DKvsCNBC
Borsen DK (39.5 % Trefferquote) vs. CNBC (38.6 % Trefferquote): wie oft der Schlagzeilen-Ton jeder Quelle zur späteren Kursbewegung passte.
Keine schnitt gegen den Zufall besser ab als die andere
Basierend auf 501 bzw. 3893 geprüften Schlagzeilen
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
Borsen DK
CNBC
Marktkontext-Abdeckung
| Trefferquote nach Markt | Borsen DK | CNBC |
|---|---|---|
| ALK-Abelló | 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 | — | 4 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | 1 (0%) | 2 (0%) |
| Asian stocks | 29 (10%) | 51 (3%) |
| Australian stocks | — | 6 (0%) |
| Automotive industry | — | 1 (0%) |
| Autonomous driving | — | 1 (0%) |
| BNB | — | 1 (0%) |
| Baidu | — | 1 (0%) |
| Berkshire Hathaway | — | 1 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 1 (0%) | 25 (2%) |
| Block Inc | — | 1 (0%) |
| Booking Holdings | — | 1 (0%) |
| Boozt Group | 1 (0%) | — |
| Brazilian | — | 2 (0%) |
| Brazilian real | — | 1 (0%) |
| CVS Health, healthcare/managed care | — | 1 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 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%) |
| Coloplast | 1 (0%) | — |
| Coloplast, Danish medtech company | 1 (0%) | — |
| Commodities | 1 (0%) | 1 (0%) |
| Copenhagen housing | 2 (1%) | — |
| Copenhagen real estate | 1 (0%) | — |
| Copper | — | 3 (0%) |
| CoreWeave | — | 4 (0%) |
| DAX | 2 (1%) | 7 (0%) |
| DSV | 2 (1%) | — |
| Danish | 5 (2%) | — |
| Danish bank | 1 (0%) | — |
| Danish defense-sector businesses | 1 (0%) | — |
| Danish economy | 1 (0%) | — |
| Danish housing | 1 (0%) | — |
| Danish inflation | 1 (0%) | — |
| Danish real estate | 4 (1%) | — |
| Danske Bank | 1 (0%) | — |
| Dell Technologies | — | 2 (0%) |
| Demant | 2 (1%) | — |
| EUR/USD | 1 (0%) | 3 (0%) |
| Eli Lilly | — | 1 (0%) |
| Etsy | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 47 (16%) | 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%) |
| GN Store Group | 1 (0%) | — |
| Generac Holdings | — | 1 (0%) |
| Genmab | 3 (1%) | — |
| Gold | 3 (1%) | 34 (2%) |
| Hanwha Ocean | — | 1 (0%) |
| Hewlett Packard Enterprise | — | 1 (0%) |
| Homebuilder | — | 1 (0%) |
| Hybe | — | 1 (0%) |
| ISS A/S | 1 (0%) | — |
| Iceland EU vote | — | 1 (0%) |
| Indian stocks | — | 23 (1%) |
| Japanese stocks | 2 (1%) | 20 (1%) |
| JetBlue | — | 1 (0%) |
| Johnson & Johnson | — | 1 (0%) |
| Korean | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lucid Motors | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| Luxury sector | — | 2 (0%) |
| MGM Resorts | — | 1 (0%) |
| Madison Air IPO | — | 1 (0%) |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mastercard | — | 1 (0%) |
| MaxLinear | — | 1 (0%) |
| Mendole | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| Micron Technology | — | 1 (0%) |
| Microsoft | — | 1 (0%) |
| Municipal Bonds | — | 1 (0%) |
| NASDAQ | 4 (1%) | 48 (3%) |
| Netflix | — | 2 (0%) |
| New Zealand exporters | — | 1 (0%) |
| Nike | 1 (0%) | 3 (0%) |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Novo Nordisk | 10 (3%) | 2 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novonesis | 1 (0%) | — |
| Nvidia | — | 1 (0%) |
| Oil | 43 (15%) | 306 (18%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 2 (0%) |
| Palantir Technologies | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 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%) |
| 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%) |
| Royal Unibrew | 1 (0%) | — |
| SAS | 1 (0%) | — |
| SK Hynix | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Samsung Electronics | — | 1 (0%) |
| Saudi Aramco | — | 1 (0%) |
| Schenker | 1 (0%) | — |
| Seven & i Holdings | — | 1 (0%) |
| Sherwin-Williams | — | 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%) | 1 (0%) |
| Tapestry Inc | — | 1 (0%) |
| Target Corp | — | 1 (0%) |
| Tesla | — | 2 (0%) |
| Turkish | — | 1 (0%) |
| UK markets | 3 (1%) | 21 (1%) |
| US Banking Sector | — | 1 (0%) |
| US apartment rents | — | 1 (0%) |
| US mortgage rates | — | 1 (0%) |
| US pharmaceutical sector | 1 (0%) | — |
| US-China summit expectations | — | 1 (0%) |
| USA | 36 (12%) | 460 (27%) |
| USD | — | 2 (0%) |
| USD/JPY | 1 (0%) | 15 (1%) |
| Union Pacific | — | 1 (0%) |
| Utilities sector | — | 1 (0%) |
| Visa | — | 1 (0%) |
| Volvo Cars | 1 (0%) | — |
| Walmart | — | 1 (0%) |
| Wendy's | — | 2 (0%) |
| West Pharma | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zebra Technologies | — | 1 (0%) |
| bank lending rates | 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 | 28 (10%) | 136 (8%) |
| home furnishings | — | 1 (0%) |
| insurance sector | 1 (0%) | — |
| memory | — | 1 (0%) |
| mine equipment suppliers | 1 (0%) | — |
| natural gas pipeline operators | — | 1 (0%) |
| prediction markets / Robinhood | — | 1 (0%) |
| professional services | 1 (0%) | — |
| retail | — | 1 (0%) |
| small-cap | — | 1 (0%) |
| software stock / Salesforce | — | 1 (0%) |
| technology stocks (Tech) | 24 (8%) | 314 (19%) |
| uranium | — | 1 (0%) |
| video game | 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: Borsen DK oder CNBC?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken Borsen DK und CNBC 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.