Borsen DKvsFXStreet
Borsen DK (39.5 % Trefferquote) vs. FXStreet (36.4 % 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. 11412 geprüften Schlagzeilen
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
Borsen DK
FXStreet
Marktkontext-Abdeckung
| Trefferquote nach Markt | Borsen DK | FXStreet |
|---|---|---|
| ALK-Abelló | 1 (0%) | — |
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Alphabet | 1 (0%) | — |
| Aluminium | — | 5 (0%) |
| Amazon | — | 2 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | 1 (0%) | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 29 (10%) | 65 (1%) |
| Australian stocks | — | 114 (2%) |
| BNB | — | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Bitcoin | 1 (0%) | 77 (2%) |
| Boozt Group | 1 (0%) | — |
| CAD | — | 7 (0%) |
| CAD/USD | — | 13 (0%) |
| CEE FX | — | 10 (0%) |
| CEE exports | — | 1 (0%) |
| CHF/EUR | — | 1 (0%) |
| CHF/JPY | — | 1 (0%) |
| CNY | — | 1 (0%) |
| CNY/USD | — | 2 (0%) |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 1 (0%) | — |
| China macro | — | 1 (0%) |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Cocoa Futures | — | 1 (0%) |
| Coloplast | 1 (0%) | — |
| Coloplast, Danish medtech company | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copenhagen housing | 2 (1%) | — |
| Copenhagen real estate | 1 (0%) | — |
| Copper | — | 14 (0%) |
| Czech Crown | — | 1 (0%) |
| DAX | 3 (1%) | 20 (0%) |
| DSV | 2 (1%) | — |
| DXY | — | 4 (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%) | — |
| Demant | 2 (1%) | — |
| Denison Mine | — | 1 (0%) |
| Dogecoin | — | 13 (0%) |
| Dollar Index | — | 1 (0%) |
| EUR/CAD | — | 1 (0%) |
| EUR/CHF | — | 1 (0%) |
| EUR/GBP | — | 29 (1%) |
| EUR/JPY | — | 37 (1%) |
| EUR/PLN | — | 1 (0%) |
| EUR/SEK | — | 1 (0%) |
| EUR/USD | 1 (0%) | 572 (11%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 47 (16%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| FLSmidth mining equipment company | 1 (0%) | — |
| Forex | — | 1 (0%) |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | — | 526 (10%) |
| GN Store Group | 1 (0%) | — |
| Genmab | 3 (1%) | — |
| Gold | 3 (1%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hims & Hers Health | — | 1 (0%) |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| ISS A/S | 1 (0%) | — |
| Indian stocks | — | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 2 (1%) | 91 (2%) |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| MENA FX | — | 1 (0%) |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mastercard Inc | — | 1 (0%) |
| Mendole | 1 (0%) | — |
| Meta | — | 1 (0%) |
| Mexican Peso | — | 1 (0%) |
| NASDAQ | 4 (1%) | 45 (1%) |
| NBCC | — | 1 (0%) |
| NOK | — | 2 (0%) |
| NOK/EUR | — | 1 (0%) |
| NOK/SEK | — | 1 (0%) |
| NOK/USD | — | 2 (0%) |
| NZD | — | 5 (0%) |
| NZD/USD | — | 18 (0%) |
| Natural Gas | — | 3 (0%) |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand markets | — | 2 (0%) |
| Nike | 1 (0%) | — |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | 10 (3%) | 1 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novonesis | 1 (0%) | — |
| OKLO | — | 1 (0%) |
| Oil | 43 (15%) | 522 (10%) |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 1 (0%) | — |
| Pfizer | — | 1 (0%) |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Ralph Lauren | — | 1 (0%) |
| Romanian Leu | — | 1 (0%) |
| Royal Unibrew | 1 (0%) | — |
| SAS | 1 (0%) | — |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| Schenker | 1 (0%) | — |
| Silver | — | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| Solana | — | 5 (0%) |
| South African Rand | — | 2 (0%) |
| South Korean Won | — | 1 (0%) |
| South Korean markets | — | 2 (0%) |
| South Korean monetary policy | — | 1 (0%) |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | — | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish Lira | — | 3 (0%) |
| UK markets | 3 (1%) | 127 (2%) |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US pharmaceutical sector | 1 (0%) | — |
| USA | 36 (12%) | 540 (10%) |
| USD | — | 19 (0%) |
| USD Index | — | 3 (0%) |
| USD/CAD | — | 45 (1%) |
| USD/CHF | — | 16 (0%) |
| USD/CNH | — | 14 (0%) |
| USD/CNY | — | 1 (0%) |
| USD/IDR | — | 8 (0%) |
| USD/INR | — | 7 (0%) |
| USD/JPY | 1 (0%) | 693 (13%) |
| USD/MXN | — | 3 (0%) |
| USD/MYR | — | 3 (0%) |
| USD/PHP | — | 2 (0%) |
| USD/SGD | — | 13 (0%) |
| USD/TRY | — | 1 (0%) |
| USD/TWD | — | 2 (0%) |
| USD/VND | — | 1 (0%) |
| USD/ZAR | — | 2 (0%) |
| USDCAD | — | 1 (0%) |
| Volvo Cars | 1 (0%) | — |
| XRP | — | 30 (1%) |
| bank lending rates | 1 (0%) | — |
| cryptocurrencies (Crypto) | — | 34 (1%) |
| forex markets | — | 1 (0%) |
| global markets | 28 (9%) | 76 (2%) |
| insurance sector | 1 (0%) | — |
| mine equipment suppliers | 1 (0%) | — |
| professional services | 1 (0%) | — |
| technology stocks (Tech) | 24 (8%) | 49 (1%) |
| video game | 1 (0%) | — |
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Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: Borsen DK oder FXStreet?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken Borsen DK und FXStreet 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.