Direktvergleich
Borsen DKvsDagens Industri
Borsen DK (39.5 % Trefferquote) vs. Dagens Industri (35.8 % 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. 2891 geprüften Schlagzeilen
Trefferquote
39.5%vs35.8%
Geprüfte Meldungen
509vs2,891
Analysierte Artikel
332vs2,010
Durchschn. Relevanz
-vs-
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
Borsen DK
Durchschn. Stimmung: -0.10
Bullisch 39%Neutral 5%Bärisch 57%
Dagens Industri
Durchschn. Stimmung: -0.09
Bullisch 41%Neutral 5%Bärisch 54%
Marktkontext-Abdeckung
| Trefferquote nach Markt | Borsen DK | Dagens Industri |
|---|---|---|
| AB Volvo | — | 1 (0%) |
| ABB | — | 2 (0%) |
| ALK-Abelló | 1 (0%) | — |
| Academedia | — | 1 (0%) |
| Acroud | — | 1 (0%) |
| Airline | — | 1 (0%) |
| Alfa Laval | — | 3 (0%) |
| Alleima | — | 1 (0%) |
| Alleimaas | — | 1 (0%) |
| Alphabet | 1 (0%) | — |
| Alstom, French rail manufacturer | — | 1 (0%) |
| Amazon | — | 1 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Anthropic valuation | — | 1 (0%) |
| Apotea | — | 1 (0%) |
| Apotea, Swedish online pharmacy | — | 1 (0%) |
| Apple | 1 (0%) | — |
| Argentine economy | — | 1 (0%) |
| Ascelia Pharma | — | 1 (0%) |
| Asian stocks | 29 (10%) | 98 (7%) |
| AstraZeneca | — | 3 (0%) |
| Atlas Copco | — | 3 (0%) |
| Atrium Ljungberg | — | 2 (0%) |
| Audi/Volkswagen | — | 1 (0%) |
| Australian stocks | — | 1 (0%) |
| Autoliv | — | 2 (0%) |
| Avensia | — | 1 (0%) |
| Axfood | — | 1 (0%) |
| BE Group | — | 1 (0%) |
| Bank of America | — | 1 (0%) |
| Beijer Ref | — | 1 (0%) |
| Bico | — | 1 (0%) |
| Binance | — | 1 (0%) |
| Biogaia | — | 1 (0%) |
| Biogaia, Swedish probiotics company | — | 1 (0%) |
| Bitcoin | 1 (0%) | 8 (1%) |
| Boeing | — | 2 (0%) |
| Boozt | — | 1 (0%) |
| Boozt Group | 1 (0%) | — |
| Bravida | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| CTEK | — | 1 (0%) |
| Camparis | — | 1 (0%) |
| Canada-US trade negotiations | — | 1 (0%) |
| Canada-USA trade | — | 1 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 1 (0%) | — |
| Carrefour | — | 1 (0%) |
| Catena, Swedish | — | 1 (0%) |
| Cellavision | — | 1 (0%) |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese financial markets | — | 1 (0%) |
| Clas Ohlson | — | 3 (0%) |
| Cloetta | — | 1 (0%) |
| Coloplast | 1 (0%) | — |
| Coloplast, Danish medtech company | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copenhagen housing | 2 (1%) | — |
| Copenhagen real estate | 1 (0%) | — |
| Copper | — | 2 (0%) |
| Crocs | — | 1 (0%) |
| DAX | 3 (1%) | 12 (1%) |
| DSV | 2 (1%) | — |
| Danish | 5 (2%) | — |
| Danish bank | 1 (0%) | — |
| Danish defense-sector businesses | 1 (0%) | — |
| Danish economy | 1 (0%) | 1 (0%) |
| Danish housing | 1 (0%) | — |
| Danish inflation | 1 (0%) | — |
| Danish real estate | 4 (1%) | — |
| Danske Bank | 1 (0%) | — |
| Demant | 2 (1%) | — |
| Dynavox | — | 1 (0%) |
| Dyrgripen | — | 1 (0%) |
| EUR/USD | 1 (0%) | 5 (0%) |
| Electrolux | — | 2 (0%) |
| Ellos | — | 1 (0%) |
| Enrad | — | 1 (0%) |
| Epiroc | — | 2 (0%) |
| Ericsson | — | 3 (0%) |
| Essity | — | 1 (0%) |
| Essitys | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 47 (16%) | 267 (18%) |
| Evolution AB | — | 1 (0%) |
| FLSmidth mining equipment company | 1 (0%) | — |
| Ferrari | — | 1 (0%) |
| Finnair | — | 1 (0%) |
| French government bonds | — | 1 (0%) |
| GBP/USD | — | 1 (0%) |
| GN Store Group | 1 (0%) | — |
| Genmab | 3 (1%) | — |
| Getinge | — | 1 (0%) |
| Gold | 3 (1%) | 7 (1%) |
| H&M | — | 4 (0%) |
| HMS Networks | — | 1 (0%) |
| HP | — | 1 (0%) |
| Handelsbanken, Swedish bank | — | 1 (0%) |
| Heba real estate | — | 1 (0%) |
| Hemnet | — | 1 (0%) |
| Hernö Gin | — | 1 (0%) |
| Hexagon | — | 1 (0%) |
| Hexagon AB | — | 1 (0%) |
| Hufvudstaden AB | — | 1 (0%) |
| Husqvarna | — | 1 (0%) |
| Höganäs AB | — | 1 (0%) |
| IAG/airline | — | 1 (0%) |
| IPO | — | 1 (0%) |
| ISS A/S | 1 (0%) | — |
| Indian stocks | — | 6 (0%) |
| Indonesian | — | 1 (0%) |
| Intel | — | 1 (0%) |
| Intrum | — | 1 (0%) |
| Iron ore/Commodities | — | 1 (0%) |
| JM AB | — | 1 (0%) |
| Japanese stocks | 2 (1%) | 10 (1%) |
| Kinnevik | — | 3 (0%) |
| Klarna | — | 3 (0%) |
| Konecranes | — | 1 (0%) |
| LVMH | — | 1 (0%) |
| Loomis | — | 1 (0%) |
| Lululemon | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| Luxury goods sector | — | 1 (0%) |
| Lyko | — | 1 (0%) |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mendole | 1 (0%) | — |
| Mercedes-Benz | — | 1 (0%) |
| Micro Systemation | — | 1 (0%) |
| Munters AB | — | 1 (0%) |
| Mycronic | — | 1 (0%) |
| NASDAQ | 4 (1%) | 62 (4%) |
| Netflix | — | 1 (0%) |
| New Wave | — | 2 (0%) |
| Nibe | — | 1 (0%) |
| Nibe AB | — | 1 (0%) |
| Nibe Industrier, Swedish | — | 1 (0%) |
| Nike | 1 (0%) | — |
| Noba Bank | — | 1 (0%) |
| Nordea | — | 3 (0%) |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Nordnet/Avanza | — | 1 (0%) |
| Norwegian electricity | — | 1 (0%) |
| Norwegian markets | — | 1 (0%) |
| Norwegian salmon | — | 1 (0%) |
| Novartis | — | 1 (0%) |
| Novo Nordisk | 10 (3%) | 2 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novonesis | 1 (0%) | — |
| Nscale IPO | — | 1 (0%) |
| Nvidia | — | 1 (0%) |
| Oil | 43 (15%) | 123 (8%) |
| Ortelius International | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 1 (0%) | — |
| PayPal | — | 1 (0%) |
| PepsiCo | — | 1 (0%) |
| Polestar | — | 1 (0%) |
| Porsche | — | 1 (0%) |
| Qben Infra | — | 1 (0%) |
| Rejlers | — | 1 (0%) |
| Royal Unibrew | 1 (0%) | — |
| Rusta | — | 1 (0%) |
| Röko AB | — | 1 (0%) |
| SAS | 1 (0%) | — |
| SBB | — | 1 (0%) |
| SCA Group | — | 1 (0%) |
| SEB | — | 3 (0%) |
| SEK | — | 2 (0%) |
| SK Hynix | — | 2 (0%) |
| SKF AB | — | 1 (0%) |
| SSAB | — | 3 (0%) |
| Saab | — | 2 (0%) |
| Sandvik | — | 3 (0%) |
| Scandi Standards | — | 1 (0%) |
| Schenker | 1 (0%) | — |
| Schneider Electric | — | 1 (0%) |
| Sectra | — | 1 (0%) |
| Securitas AB | — | 3 (0%) |
| Silver | — | 3 (0%) |
| Sinch | — | 2 (0%) |
| Skanska | — | 1 (0%) |
| Skistar | — | 1 (0%) |
| Smart Eye AB | — | 1 (0%) |
| Sobi | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Spotify | — | 1 (0%) |
| Stillfront AB | — | 1 (0%) |
| Stockholm Stock Exchange | — | 13 (1%) |
| Stockholm stock exchange | — | 1 (0%) |
| Stora Enso | — | 1 (0%) |
| Storytel | — | 3 (0%) |
| Studsvik | — | 1 (0%) |
| Sweco | — | 1 (0%) |
| Swedencare | — | 1 (0%) |
| Swedish | — | 21 (1%) |
| Swedish Krona | — | 1 (0%) |
| Swedish Real Estate | — | 1 (0%) |
| Swedish automotive supply chain | — | 1 (0%) |
| Swedish betting sector | — | 1 (0%) |
| Swedish construction sector | — | 1 (0%) |
| Swedish defense | — | 1 (0%) |
| Swedish economy | — | 3 (0%) |
| Swedish electricity | — | 1 (0%) |
| Swedish forestry sector | — | 1 (0%) |
| Swedish fuel | — | 1 (0%) |
| Swedish gaming | — | 1 (0%) |
| Swedish golf restaurant sector | — | 1 (0%) |
| Swedish grocery retail | — | 1 (0%) |
| Swedish housing | — | 7 (1%) |
| Swedish individual | — | 1 (0%) |
| Swedish inflation | — | 2 (0%) |
| Swedish interest rates | — | 6 (0%) |
| Swedish markets | — | 1 (0%) |
| Swedish mining | — | 1 (0%) |
| Swedish mining equipment | — | 1 (0%) |
| Swedish real estate | — | 5 (0%) |
| Swedish rental housing | — | 1 (0%) |
| Swedish sawmill industry | — | 1 (0%) |
| Swedish stock | — | 4 (0%) |
| Swedish venture capital | — | 1 (0%) |
| Swiss | — | 1 (0%) |
| Taiwan stock | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Tech | — | 2 (0%) |
| Tele2 | — | 1 (0%) |
| Teqnion | — | 1 (0%) |
| Tesla | — | 1 (0%) |
| Thule | — | 1 (0%) |
| Thule AB | — | 1 (0%) |
| Tieto AB | — | 1 (0%) |
| Traton | — | 2 (0%) |
| Traton AG | — | 1 (0%) |
| Traton/Scania | — | 1 (0%) |
| Trelleborg | — | 2 (0%) |
| Troax | — | 1 (0%) |
| Truecaller | — | 2 (0%) |
| Turkish | — | 1 (0%) |
| Tången | — | 1 (0%) |
| UK markets | 3 (1%) | 25 (2%) |
| US pharmaceutical sector | 1 (0%) | — |
| US-Canada trade | — | 1 (0%) |
| USA | 36 (12%) | 330 (22%) |
| USD/JPY | 1 (0%) | 7 (1%) |
| Verisure | — | 1 (0%) |
| Volvo Cars | 1 (0%) | 7 (1%) |
| Wendy's | — | 1 (0%) |
| Wisa | — | 1 (0%) |
| Xspray | — | 1 (0%) |
| airline ticket | — | 1 (0%) |
| aviation manufacturers | — | 1 (0%) |
| bank | — | 1 (0%) |
| bank lending rates | 1 (0%) | — |
| cryptocurrencies (Crypto) | — | 2 (0%) |
| food | — | 2 (0%) |
| gaming company | — | 1 (0%) |
| global markets | 28 (9%) | 57 (4%) |
| hotel | — | 1 (0%) |
| insurance sector | 1 (0%) | — |
| interest-rate expectations | — | 1 (0%) |
| iron ore | — | 1 (0%) |
| mine equipment suppliers | 1 (0%) | — |
| mining company | — | 1 (0%) |
| professional services | 1 (0%) | — |
| technology stocks (Tech) | 24 (8%) | 147 (10%) |
| unnamed Swedish high-dividend | — | 1 (0%) |
| unnamed company | — | 1 (0%) |
| video game | 1 (0%) | — |
Die heutige Nachrichtenlage – keine Prognose
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Watchlists und die Nachrichtenlage, wann immer Sie nachsehen
Wie oft die Nachrichten richtig lagen
Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: Borsen DK oder Dagens Industri?▼
Borsen DK (39.5 %) und Dagens Industri (35.8 %) erhalten dasselbe Urteil gegen den Zufall, gemessen ab dem ersten handelbaren Kurs. Eine reine Trefferquote spiegelt vor allem, welche Märkte eine Quelle abdeckt; der Abstand der beiden Quoten allein sagt wenig.
Wie werden diese Vergleiche berechnet?▼
Eine KI ordnet den Tenor jeder Schlagzeile für ihren Markt als steigend, fallend oder seitwärts ein. Ab dem ersten Kurs, zu dem ein Leser hätte handeln können, prüfen wir die Bewegung nach 1, 3 und 7 Tagen und vergleichen die Trefferquote jeder Quelle mit dem Zufall für ihre eigene Mischung (Methode unter /how-reliable-is). Verglichen werden dieses Urteil, die Tenor-Verteilung und die abgedeckten Märkte.
Welche Märkte decken Borsen DK und Dagens Industri gemeinsam ab?▼
Sie teilen 17 Marktkontexte: Asian stocks, Bitcoin, DAX, Danish economy, EUR/USD, European stocks, Gold, Japanese stocks, NASDAQ, Novo Nordisk, Oil, UK markets, USA, USD/JPY, Volvo Cars, global markets, technology stocks (Tech). Jede Quelle kann auch zusätzliche Märkte unabhängig abdecken.
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.