Direktvergleich
CNBCvsFXStreet
CNBC (38.6 % 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 3910 bzw. 11412 geprüften Schlagzeilen
Stimmungs- & Tendenzanalyse
Wie bullisch oder bärisch die Schlagzeilen jeder Quelle tendenziell sind.
Stimmungsverteilung
CNBC
Durchschn. Stimmung: 0.02
Bullisch 51%Neutral 5%Bärisch 45%
FXStreet
Durchschn. Stimmung: -0.07
Bullisch 38%Neutral 11%Bärisch 51%
Marktkontext-Abdeckung
| Trefferquote nach Markt | CNBC | FXStreet |
|---|---|---|
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AST SpaceMobile | 1 (0%) | — |
| AT&T | 1 (0%) | — |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airline | 1 (0%) | — |
| Aluminium | — | 5 (0%) |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | 2 (0%) |
| Apple | 2 (0%) | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 51 (3%) | 65 (1%) |
| Australian stocks | 6 (0%) | 114 (2%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| BNB | 1 (0%) | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Baidu | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 77 (2%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | — |
| Brazilian real | 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%) |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China macro | — | 1 (0%) |
| China trade data | 1 (0%) | — |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese biopharma | 1 (0%) | — |
| Chinese credit | — | 1 (0%) |
| Chinese economy | 1 (0%) | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Chipotle Mexican Grill | 1 (0%) | — |
| Cocoa Futures | — | 1 (0%) |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copper | 3 (0%) | 14 (0%) |
| CoreWeave | 4 (0%) | — |
| Czech Crown | — | 1 (0%) |
| DAX | 7 (0%) | 20 (0%) |
| DXY | — | 4 (0%) |
| Dell Technologies | 2 (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 | 3 (0%) | 572 (11%) |
| Eli Lilly | 1 (0%) | — |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| Etsy | 1 (0%) | — |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European stocks | 57 (3%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Forex | — | 1 (0%) |
| Fortinet | 1 (0%) | — |
| French government bonds | 1 (0%) | — |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | 1 (0%) | 526 (10%) |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Hims & Hers Health | — | 1 (0%) |
| Homebuilder | 1 (0%) | — |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| Hybe | 1 (0%) | — |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 20 (1%) | 91 (2%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Korean | 1 (0%) | — |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| Lithium | 1 (0%) | — |
| Lucid Motors | 1 (0%) | — |
| Luxury sector | 2 (0%) | — |
| MENA FX | — | 1 (0%) |
| MGM Resorts | 1 (0%) | — |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| Mastercard Inc | — | 1 (0%) |
| MaxLinear | 1 (0%) | — |
| Meta | — | 1 (0%) |
| Meta Platforms | 2 (0%) | — |
| Mexican Peso | — | 1 (0%) |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 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%) |
| Netflix | 2 (0%) | — |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand exporters | 1 (0%) | — |
| New Zealand markets | — | 2 (0%) |
| Nike | 3 (0%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | 2 (0%) | 1 (0%) |
| Nvidia | 1 (0%) | — |
| OKLO | — | 1 (0%) |
| Oil | 306 (18%) | 522 (10%) |
| Oracle | 2 (0%) | — |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Palantir | 2 (0%) | — |
| Palantir Technologies | 1 (0%) | — |
| Paramount/Warner Bros merger | 1 (0%) | — |
| Peloton | 1 (0%) | — |
| Penguin Solutions | 1 (0%) | — |
| PepsiCo | 1 (0%) | — |
| Pfizer | — | 1 (0%) |
| Pharmaceutical | 1 (0%) | — |
| Pharmaceutical ETF | 1 (0%) | — |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Qantas | 1 (0%) | — |
| Ralph Lauren | — | 1 (0%) |
| Refiner | 1 (0%) | — |
| Restaurant Brands International | 1 (0%) | — |
| Restaurant industry | 1 (0%) | — |
| Riot Platforms | 1 (0%) | — |
| Rivian | 2 (0%) | — |
| Robinhood | 2 (0%) | — |
| Roku | 1 (0%) | — |
| Romanian Leu | — | 1 (0%) |
| Royal Caribbean Cruises | 1 (0%) | — |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| SK Hynix | 1 (0%) | — |
| Salesforce | 1 (0%) | — |
| Samsung Electronics | 1 (0%) | — |
| Saudi Aramco | 1 (0%) | — |
| Seven & i Holdings | 1 (0%) | — |
| Sherwin-Williams | 1 (0%) | — |
| Silver | 4 (0%) | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| SoFi Technologies | 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%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | — |
| SpaceX IPO | 1 (0%) | — |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | 2 (0%) | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan economy | 1 (0%) | — |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Tapestry Inc | 1 (0%) | — |
| Target Corp | 1 (0%) | — |
| Tesla | 2 (0%) | — |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| Turkish Lira | — | 3 (0%) |
| UK markets | 21 (1%) | 127 (2%) |
| US Banking Sector | 1 (0%) | — |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 540 (10%) |
| USD | 2 (0%) | 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 | 15 (1%) | 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%) |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 30 (1%) |
| Xpeng | 1 (0%) | — |
| Zebra Technologies | 1 (0%) | — |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 34 (1%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| forex markets | — | 1 (0%) |
| global markets | 136 (8%) | 76 (2%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| prediction markets / Robinhood | 1 (0%) | — |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 49 (1%) |
| uranium | 1 (0%) | — |
Die heutige Nachrichtenlage – keine Prognose
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Wie oft die Nachrichten richtig lagen
Die Trefferquote jeder Quelle im Vergleich zum Zufall
Häufig gestellte Fragen
Was ist zuverlässiger: CNBC oder FXStreet?▼
CNBC (38.6 %) und FXStreet (36.4 %) 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 CNBC und FXStreet gemeinsam ab?▼
Sie teilen 27 Marktkontexte: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Chinese economy, Copper, DAX, EUR/USD, European stocks, GBP/USD, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD, USD/JPY, 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.