Direktvergleich
FXStreetvswallstreet-online Nachrichten
FXStreet (36.4 % 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 11412 bzw. 1181 geprüften Schlagzeilen
Trefferquote
36.4%vs36.8%
Geprüfte Meldungen
11,412vs1,181
Analysierte Artikel
6,057vs651
Durchschn. Relevanz
-vs-
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
FXStreet
Durchschn. Stimmung: -0.07
Bullisch 38%Neutral 11%Bärisch 51%
wallstreet-online Nachrichten
Durchschn. Stimmung: 0.00
Bullisch 47%Neutral 3%Bärisch 50%
Marktkontext-Abdeckung
| Trefferquote nach Markt | FXStreet | wallstreet-online Nachrichten |
|---|---|---|
| AMD | 1 (0%) | — |
| APAC FX | 2 (0%) | — |
| ASEAN FX | 1 (0%) | — |
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AUD/JPY | 35 (1%) | — |
| AUD/NZD | 5 (0%) | — |
| AUD/USD | 87 (2%) | — |
| 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%) |
| Aluminium | 5 (0%) | — |
| Amazon | 2 (0%) | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | 1 (0%) | 3 (1%) |
| Asia FX | 3 (0%) | — |
| Asian FX | 7 (0%) | — |
| Asian stocks | 65 (1%) | 3 (1%) |
| Australian stocks | 114 (2%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | 2 (0%) | 1 (0%) |
| BRL/USD | 3 (0%) | — |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 77 (2%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 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%) | 1 (0%) |
| Canadian rates | 1 (0%) | — |
| Cannabis | — | 2 (0%) |
| Cardano | 8 (0%) | — |
| Carrefour | — | 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%) | — |
| Chinese solar sector | — | 1 (0%) |
| Coca-Cola | — | 1 (0%) |
| Cocoa Futures | 1 (0%) | — |
| Commodities | — | 1 (0%) |
| Copper | 14 (0%) | 2 (0%) |
| Czech Crown | 1 (0%) | — |
| D-Wave | — | 1 (0%) |
| DAX | 20 (0%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| DXY | 4 (0%) | — |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | — | 1 (0%) |
| Denison Mine | 1 (0%) | — |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| 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%) | 4 (1%) |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | 1 (0%) | 1 (0%) |
| Ethereum | 10 (0%) | 1 (0%) |
| European Natural Gas | 1 (0%) | — |
| European gas | 1 (0%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 124 (2%) | 40 (6%) |
| Eurozone macro | 2 (0%) | — |
| Evotec | — | 1 (0%) |
| Forex | 1 (0%) | — |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| GBP/JPY | 37 (1%) | — |
| GBP/USD | 526 (10%) | — |
| General Motors | — | 1 (0%) |
| Gold | 510 (10%) | 28 (4%) |
| Goldman Sachs | 1 (0%) | — |
| 1 (0%) | — | |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Hims & Hers Health | 1 (0%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hong Kong SME Business | 1 (0%) | — |
| Hungarian Forint | 6 (0%) | — |
| Hungarian economy | 1 (0%) | — |
| Hungarian markets | — | 1 (0%) |
| IBM | — | 1 (0%) |
| IDR/USD | 5 (0%) | — |
| IMAX | — | 1 (0%) |
| INR | 1 (0%) | — |
| INR/USD | 4 (0%) | — |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | 90 (2%) | 3 (1%) |
| Indonesia | 2 (0%) | — |
| Indonesia Inflation | 1 (0%) | — |
| Indonesian Rupiah | 9 (0%) | — |
| Indonesian macroeconomics | 1 (0%) | — |
| Indonesian markets | 1 (0%) | — |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 91 (2%) | 2 (0%) |
| KOSPI | 1 (0%) | — |
| KRW | 5 (0%) | — |
| KRW/KOSPI | 1 (0%) | — |
| KRW/USD | 4 (0%) | — |
| Korean Won | 2 (0%) | — |
| Korean markets | 1 (0%) | — |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| MENA FX | 1 (0%) | — |
| MYR | 1 (0%) | — |
| MYR/USD | 4 (0%) | — |
| Mastercard Inc | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| Mexican Peso | 1 (0%) | — |
| Micron | — | 1 (0%) |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | 45 (1%) | 16 (3%) |
| 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%) | — |
| Nanexa | — | 1 (0%) |
| Natural Gas | 3 (0%) | — |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| New Zealand | 1 (0%) | — |
| New Zealand Trade Balance | 1 (0%) | — |
| New Zealand markets | 2 (0%) | — |
| NextDC | — | 1 (0%) |
| Nike | — | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Norwegian Krone | 5 (0%) | — |
| Novo Nordisk | 1 (0%) | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| OKLO | 1 (0%) | — |
| Oil | 522 (10%) | 96 (15%) |
| Oracle | — | 2 (0%) |
| PBR | 1 (0%) | — |
| PHP | 1 (0%) | — |
| PHP/USD | 1 (0%) | — |
| PLN/EUR | 1 (0%) | — |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (0%) |
| Pfizer | 1 (0%) | — |
| Philippine Peso | 1 (0%) | — |
| Pi Network | 3 (0%) | — |
| Polish Zloty | 4 (0%) | — |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| RWE | — | 1 (0%) |
| Ralph Lauren | 1 (0%) | — |
| Redcare Pharmacy | — | 1 (0%) |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| Romanian Leu | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SEK | 1 (0%) | — |
| SEK/USD | 1 (0%) | — |
| SGD | 2 (0%) | — |
| SGD/SGDNEER | 1 (0%) | — |
| SGD/USD | 6 (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%) |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | 222 (4%) | 11 (2%) |
| Singapore CPI | 1 (0%) | — |
| Singapore Economy | 1 (0%) | — |
| Singapore GDP | 1 (0%) | — |
| Singapore macro | 1 (0%) | — |
| SoftBank | — | 1 (0%) |
| Solana | 5 (0%) | — |
| South African Rand | 2 (0%) | — |
| South Korean | — | 1 (0%) |
| South Korean Won | 1 (0%) | — |
| South Korean markets | 2 (0%) | — |
| South Korean monetary policy | 1 (0%) | — |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swedish Krona | 1 (0%) | — |
| Swedish interest rates | 1 (0%) | — |
| Swiss Franc | 3 (0%) | 1 (0%) |
| Synthetix | 1 (0%) | — |
| THB/USD | 1 (0%) | — |
| Taiwan Dollar | 1 (0%) | — |
| Taiwan macro | 1 (0%) | — |
| Taiwan tech exports | 1 (0%) | — |
| Take-Two Interactive | — | 2 (0%) |
| Target | — | 1 (0%) |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thai Baht | 7 (0%) | — |
| Thyssenkrupp | — | 1 (0%) |
| Travelers Insurance | 1 (0%) | — |
| Turkish Lira | 3 (0%) | — |
| UK markets | 127 (2%) | 3 (1%) |
| US Dollar | 9 (0%) | — |
| US Dollar Index | 19 (0%) | — |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| USA | 540 (10%) | 57 (9%) |
| 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%) | 1 (0%) |
| 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%) | — |
| 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%) |
| Vonovia | — | 2 (0%) |
| XRP | 30 (1%) | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| cryptocurrencies (Crypto) | 34 (1%) | 7 (1%) |
| forex markets | 1 (0%) | — |
| general | — | 1 (0%) |
| global markets | 76 (2%) | 15 (2%) |
| online retail / e-commerce | — | 1 (0%) |
| restaurant | — | 1 (0%) |
| technology stocks (Tech) | 49 (1%) | 98 (15%) |
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: FXStreet oder wallstreet-online Nachrichten?▼
FXStreet (36.4 %) und wallstreet-online Nachrichten (36.8 %) 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 FXStreet und wallstreet-online Nachrichten gemeinsam ab?▼
Sie teilen 28 Marktkontexte: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Canadian markets, Copper, DAX, EUR/USD, Estée Lauder, Ethereum, European stocks, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD/JPY, XRP, cryptocurrencies (Crypto), 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.