Borsen DKvswallstreet-online Nachrichten
Borsen DK (39.5 % Trefferquote) vs. wallstreet-online Nachrichten (36.8 % Trefferquote): wie oft der Schlagzeilen-Ton jeder Quelle zur späteren Kursbewegung passte.
Keine schnitt gegen den Zufall besser ab als die andere
Basierend auf 509 bzw. 1181 geprüften Schlagzeilen
Trefferquote
Geprüfte Meldungen
Analysierte Artikel
Durchschn. Relevanz
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
Borsen DK
wallstreet-online Nachrichten
Marktkontext-Abdeckung
| Trefferquote nach Markt | Borsen DK | wallstreet-online Nachrichten |
|---|---|---|
| ALK-Abelló | 1 (0%) | — |
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Airbus | — | 2 (0%) |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | 1 (0%) | 1 (0%) |
| Amazon | — | 2 (0%) |
| American Express | — | 1 (0%) |
| Anthropic IPO | 1 (0%) | — |
| AppLovin | — | 1 (0%) |
| Apple | 1 (0%) | 3 (1%) |
| Asian stocks | 29 (10%) | 3 (1%) |
| Australian stocks | — | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | — | 1 (0%) |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 1 (0%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Boozt Group | 1 (0%) | — |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 1 (0%) |
| Canadian markets | — | 1 (0%) |
| Cannabis | — | 2 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 1 (0%) | — |
| Carrefour | — | 1 (0%) |
| Chinese solar sector | — | 1 (0%) |
| Coca-Cola | — | 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 | — | 2 (0%) |
| D-Wave | — | 1 (0%) |
| DAX | 3 (1%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| DSV | 2 (1%) | — |
| Daimler Truck | — | 1 (0%) |
| 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 | — | 1 (0%) |
| Demant | 2 (1%) | — |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| EUR/USD | 1 (0%) | 4 (1%) |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 1 (0%) |
| European natural gas | 1 (0%) | 1 (0%) |
| European stocks | 47 (16%) | 40 (6%) |
| Evotec | — | 1 (0%) |
| FLSmidth mining equipment company | 1 (0%) | — |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| GN Store Group | 1 (0%) | — |
| General Motors | — | 1 (0%) |
| Genmab | 3 (1%) | — |
| Gold | 3 (1%) | 28 (4%) |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hungarian markets | — | 1 (0%) |
| IBM | — | 1 (0%) |
| IMAX | — | 1 (0%) |
| ISS A/S | 1 (0%) | — |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | — | 3 (1%) |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 2 (1%) | 2 (0%) |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mendole | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta Platforms | — | 2 (0%) |
| Micron | — | 1 (0%) |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | 4 (1%) | 16 (3%) |
| Nanexa | — | 1 (0%) |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| NextDC | — | 1 (0%) |
| Nike | 1 (0%) | 2 (0%) |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Novo Nordisk | 10 (3%) | 2 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Novonesis | 1 (0%) | — |
| Nscale IPO | — | 1 (0%) |
| Oil | 43 (15%) | 96 (15%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 1 (0%) | — |
| PayPal | — | 2 (0%) |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| RWE | — | 1 (0%) |
| Redcare Pharmacy | — | 1 (0%) |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| Royal Unibrew | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SAS | 1 (0%) | — |
| SK Hynix | — | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | — | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Schenker | 1 (0%) | — |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | — | 11 (2%) |
| SoftBank | — | 1 (0%) |
| South Korean | — | 1 (0%) |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swiss Franc | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | 2 (0%) |
| Target | — | 1 (0%) |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thyssenkrupp | — | 1 (0%) |
| UK markets | 3 (1%) | 3 (1%) |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| US pharmaceutical sector | 1 (0%) | — |
| USA | 36 (12%) | 57 (9%) |
| USD/JPY | 1 (0%) | 1 (0%) |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | — | 1 (0%) |
| Uranium | — | 1 (0%) |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vincorion | — | 1 (0%) |
| Volvo Cars | 1 (0%) | — |
| Vonovia | — | 2 (0%) |
| XRP | — | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| bank lending rates | 1 (0%) | — |
| cryptocurrencies (Crypto) | — | 7 (1%) |
| general | — | 1 (0%) |
| global markets | 28 (9%) | 15 (2%) |
| insurance sector | 1 (0%) | — |
| mine equipment suppliers | 1 (0%) | — |
| online retail / e-commerce | — | 1 (0%) |
| professional services | 1 (0%) | — |
| restaurant | — | 1 (0%) |
| technology stocks (Tech) | 24 (8%) | 98 (15%) |
| 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 wallstreet-online Nachrichten?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken Borsen DK und wallstreet-online Nachrichten 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.