FXStreetvsHandelsblatt
FXStreet (36.4 % Trefferquote) vs. Handelsblatt (34.5 % Trefferquote): wie oft der Schlagzeilen-Ton jeder Quelle zur späteren Kursbewegung passte.
Keine schnitt gegen den Zufall besser ab als die andere
Basierend auf 11412 bzw. 3334 geprüften Schlagzeilen
Trefferquote
Geprüfte Meldungen
Analysierte Artikel
Durchschn. Relevanz
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
FXStreet
Handelsblatt
Marktkontext-Abdeckung
| Trefferquote nach Markt | FXStreet | Handelsblatt |
|---|---|---|
| AMD | 1 (0%) | — |
| APAC FX | 2 (0%) | — |
| ASEAN FX | 1 (0%) | — |
| AUD/JPY | 35 (1%) | — |
| AUD/NZD | 5 (0%) | — |
| AUD/USD | 87 (2%) | — |
| Aluminium | 5 (0%) | 1 (0%) |
| Amazon | 2 (0%) | — |
| Apple | 1 (0%) | — |
| Asia FX | 3 (0%) | — |
| Asian FX | 7 (0%) | — |
| Asian stocks | 65 (1%) | 116 (8%) |
| Australian stocks | 114 (2%) | 2 (0%) |
| BASF/Chemical Industry | — | 2 (0%) |
| BNB | 2 (0%) | 1 (0%) |
| BRL/USD | 3 (0%) | — |
| Bayer AG | — | 1 (0%) |
| Beiersdorf | — | 1 (0%) |
| Bending Spoons | — | 1 (0%) |
| Binance | — | 2 (0%) |
| Bitcoin | 77 (2%) | 15 (1%) |
| 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%) | — |
| 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%) | — |
| Chinese real estate | — | 1 (0%) |
| Cisco Systems | — | 1 (0%) |
| Cocoa Futures | 1 (0%) | — |
| Commerzbank | — | 1 (0%) |
| Commodities/Industrial Supply Chain | — | 1 (0%) |
| Copper | 14 (0%) | — |
| Czech Crown | 1 (0%) | — |
| DAX | 20 (0%) | 466 (33%) |
| DXY | 4 (0%) | — |
| 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 | 572 (11%) | 5 (0%) |
| Estée Lauder | 1 (0%) | — |
| Ethereum | 10 (0%) | — |
| European Natural Gas | 1 (0%) | — |
| European gas | 1 (0%) | — |
| European stocks | 124 (2%) | 95 (7%) |
| Eurozone macro | 2 (0%) | — |
| Forex | 1 (0%) | — |
| GBP/JPY | 37 (1%) | — |
| GBP/USD | 526 (10%) | — |
| Gold | 510 (10%) | 24 (2%) |
| Goldman Sachs | 1 (0%) | — |
| 1 (0%) | — | |
| Hamburg real estate | — | 1 (0%) |
| Hannover Re | — | 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%) | — |
| Indian stocks | 90 (2%) | 4 (0%) |
| Indonesia | 2 (0%) | — |
| Indonesia Inflation | 1 (0%) | — |
| Indonesian | — | 2 (0%) |
| Indonesian Rupiah | 9 (0%) | — |
| Indonesian macroeconomics | 1 (0%) | — |
| Indonesian markets | 1 (0%) | — |
| Industrial Metals | — | 1 (0%) |
| Intel | — | 1 (0%) |
| Italian Telecom | — | 1 (0%) |
| Japanese stocks | 91 (2%) | 52 (4%) |
| KOSPI | 1 (0%) | — |
| KRW | 5 (0%) | — |
| KRW/KOSPI | 1 (0%) | — |
| KRW/USD | 4 (0%) | — |
| Korean Won | 2 (0%) | — |
| Korean markets | 1 (0%) | — |
| Lapp AG | — | 1 (0%) |
| MENA FX | 1 (0%) | — |
| MYR | 1 (0%) | — |
| MYR/USD | 4 (0%) | — |
| Mastercard Inc | 1 (0%) | — |
| Mercedes-Benz | — | 3 (0%) |
| Meta | 1 (0%) | — |
| Mexican Peso | 1 (0%) | — |
| NASDAQ | 45 (1%) | 55 (4%) |
| 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%) | — |
| Norwegian Krone | 5 (0%) | — |
| Novo Nordisk | 1 (0%) | — |
| OKLO | 1 (0%) | — |
| Oil | 522 (10%) | 98 (7%) |
| PBR | 1 (0%) | — |
| PHP | 1 (0%) | — |
| PHP/USD | 1 (0%) | — |
| PLN/EUR | 1 (0%) | — |
| Pfizer | 1 (0%) | — |
| Philippine Peso | 1 (0%) | — |
| Pi Network | 3 (0%) | — |
| Polish Zloty | 4 (0%) | — |
| Porsche | — | 1 (0%) |
| Private Credit | — | 1 (0%) |
| Ralph Lauren | 1 (0%) | — |
| Real Estate | — | 2 (0%) |
| Reinsurance | — | 1 (0%) |
| Romanian Leu | 1 (0%) | — |
| SEK | 1 (0%) | — |
| SEK/USD | 1 (0%) | — |
| SGD | 2 (0%) | — |
| SGD/SGDNEER | 1 (0%) | — |
| SGD/USD | 6 (0%) | — |
| Semiconductors | — | 1 (0%) |
| Silver | 222 (4%) | 2 (0%) |
| 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%) | — |
| Thai Baht | 7 (0%) | — |
| Travelers Insurance | 1 (0%) | — |
| Turkish Lira | 3 (0%) | 1 (0%) |
| Turkish stock | — | 1 (0%) |
| UBS | — | 1 (0%) |
| UK markets | 127 (2%) | 19 (1%) |
| US Dollar | 9 (0%) | — |
| US Dollar Index | 19 (0%) | — |
| US Government Bonds | — | 2 (0%) |
| USA | 540 (10%) | 269 (19%) |
| 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 | 693 (13%) | 8 (1%) |
| 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%) | — |
| Volkswagen | — | 1 (0%) |
| XRP | 30 (1%) | — |
| active ETFs in Germany | — | 1 (0%) |
| bond markets | — | 1 (0%) |
| cryptocurrencies (Crypto) | 34 (1%) | 4 (0%) |
| forex markets | 1 (0%) | — |
| global markets | 76 (2%) | 71 (5%) |
| real estate | — | 2 (0%) |
| technology stocks (Tech) | 49 (1%) | 75 (5%) |
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Wie oft die Nachrichten richtig lagen
Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: FXStreet oder Handelsblatt?▼
Wie werden diese Vergleiche berechnet?▼
Welche Märkte decken FXStreet und Handelsblatt 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.