Comparación directa
CNBCvswallstreet-online Nachrichten
CNBC (38.6 % de acierto) vs wallstreet-online Nachrichten (36.8 % de acierto): cuántas veces el tono de los titulares de cada fuente coincidió con el movimiento posterior del precio.
Ninguna salió mejor frente al azar que la otra
Basado en 3910 y 1181 titulares comprobados
Tasa de acierto
38.6%vs36.8%
Noticias comprobadas
3,910vs1,181
Artículos Analizados
1,937vs651
Relevancia Promedio
-vs-
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
CNBC
Sentimiento promedio: 0.02
Alcista 51%Neutral 5%Bajista 45%
wallstreet-online Nachrichten
Sentimiento promedio: 0.00
Alcista 47%Neutral 3%Bajista 50%
Cobertura de contextos de mercado
| Acierto por mercado | CNBC | wallstreet-online Nachrichten |
|---|---|---|
| ASOS | — | 1 (0%) |
| AST SpaceMobile | 1 (0%) | — |
| AT&S | — | 1 (0%) |
| AT&T | 1 (0%) | 1 (0%) |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airbus | — | 2 (0%) |
| Airline | 1 (0%) | — |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | 2 (0%) | 3 (1%) |
| Asian stocks | 51 (3%) | 3 (1%) |
| Australian stocks | 6 (0%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | 1 (0%) | 1 (0%) |
| BYD | — | 3 (1%) |
| Baidu | 1 (0%) | — |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| Berkshire Hathaway | 1 (0%) | — |
| BioNTech | — | 2 (0%) |
| Biogen | 1 (0%) | 1 (0%) |
| Biotech | 1 (0%) | 1 (0%) |
| Bitcoin | 25 (2%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Brazilian real | 1 (0%) | — |
| Bulgarian | — | 1 (0%) |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Canadian markets | — | 1 (0%) |
| Cannabis | — | 2 (0%) |
| Carrefour | — | 1 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China trade data | 1 (0%) | — |
| Chinese biopharma | 1 (0%) | — |
| Chinese economy | 1 (0%) | — |
| Chinese solar sector | — | 1 (0%) |
| Chipotle Mexican Grill | 1 (0%) | — |
| Coca-Cola | — | 1 (0%) |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | 1 (0%) |
| Copper | 3 (0%) | 2 (0%) |
| CoreWeave | 4 (0%) | — |
| D-Wave | — | 1 (0%) |
| DAX | 7 (0%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | 2 (0%) | 1 (0%) |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| EUR/USD | 3 (0%) | 4 (1%) |
| Eli Lilly | 1 (0%) | — |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 1 (0%) |
| Etsy | 1 (0%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 57 (3%) | 40 (6%) |
| Evotec | — | 1 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Fortinet | 1 (0%) | 1 (0%) |
| French government bonds | 1 (0%) | 2 (0%) |
| GBP/USD | 1 (0%) | — |
| Generac Holdings | 1 (0%) | — |
| General Motors | — | 1 (0%) |
| Gold | 34 (2%) | 28 (4%) |
| HP | — | 1 (0%) |
| Hanwha Ocean | 1 (0%) | — |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Homebuilder | 1 (0%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hungarian markets | — | 1 (0%) |
| Hybe | 1 (0%) | — |
| IBM | — | 1 (0%) |
| IMAX | — | 1 (0%) |
| Iambic Therapeutics | — | 1 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 3 (1%) |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 20 (1%) | 2 (0%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| Korean | 1 (0%) | — |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | 1 (0%) | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lucid Motors | 1 (0%) | — |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| Luxury sector | 2 (0%) | — |
| MGM Resorts | 1 (0%) | — |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| MaxLinear | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta Platforms | 2 (0%) | 2 (0%) |
| Micron | — | 1 (0%) |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 16 (3%) |
| Nanexa | — | 1 (0%) |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | 2 (0%) | 2 (0%) |
| New Zealand exporters | 1 (0%) | — |
| NextDC | — | 1 (0%) |
| Nike | 3 (0%) | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Novo Nordisk | 2 (0%) | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| Nvidia | 1 (0%) | — |
| Oil | 306 (18%) | 96 (15%) |
| Oracle | 2 (0%) | 2 (0%) |
| Palantir | 2 (0%) | 1 (0%) |
| Palantir Technologies | 1 (0%) | — |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| Paramount/Warner Bros merger | 1 (0%) | — |
| PayPal | — | 2 (0%) |
| Peloton | 1 (0%) | — |
| Penguin Solutions | 1 (0%) | — |
| PepsiCo | 1 (0%) | — |
| Pharmaceutical | 1 (0%) | — |
| Pharmaceutical ETF | 1 (0%) | — |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| Qantas | 1 (0%) | — |
| RWE | — | 1 (0%) |
| Redcare Pharmacy | — | 1 (0%) |
| Refiner | 1 (0%) | — |
| Renk AG | — | 2 (0%) |
| Restaurant Brands International | 1 (0%) | — |
| Restaurant industry | 1 (0%) | — |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Riot Platforms | 1 (0%) | — |
| Rivian | 2 (0%) | — |
| Rivian stock, EV maker | — | 1 (0%) |
| Robinhood | 2 (0%) | — |
| Roku | 1 (0%) | — |
| Royal Caribbean Cruises | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SK Hynix | 1 (0%) | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | 1 (0%) | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | 1 (0%) | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Saudi Aramco | 1 (0%) | — |
| Seven & i Holdings | 1 (0%) | — |
| Sherwin-Williams | 1 (0%) | — |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | 4 (0%) | 11 (2%) |
| SoFi Technologies | 1 (0%) | — |
| SoftBank | — | 1 (0%) |
| South Korean | — | 1 (0%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| SpaceX IPO | 1 (0%) | — |
| Swiss Franc | 2 (0%) | 1 (0%) |
| Taiwan economy | 1 (0%) | — |
| Take-Two Interactive | 1 (0%) | 2 (0%) |
| Tapestry Inc | 1 (0%) | — |
| Target | — | 1 (0%) |
| Target Corp | 1 (0%) | — |
| Technip Energies | — | 1 (0%) |
| Tesla | 2 (0%) | 3 (1%) |
| Thyssenkrupp | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| UK markets | 21 (1%) | 3 (1%) |
| US Banking Sector | 1 (0%) | — |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 57 (9%) |
| USD | 2 (0%) | — |
| USD/JPY | 15 (1%) | 1 (0%) |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | 1 (0%) | 1 (0%) |
| Uranium | — | 1 (0%) |
| Utilities sector | 1 (0%) | — |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vincorion | — | 1 (0%) |
| Visa | 1 (0%) | — |
| Vonovia | — | 2 (0%) |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | 1 (0%) | 1 (0%) |
| Zebra Technologies | 1 (0%) | — |
| Zinc | — | 2 (0%) |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 7 (1%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| general | — | 1 (0%) |
| global markets | 136 (8%) | 15 (2%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| online retail / e-commerce | — | 1 (0%) |
| prediction markets / Robinhood | 1 (0%) | — |
| restaurant | — | 1 (0%) |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 98 (15%) |
| uranium | 1 (0%) | — |
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Tu Propio Panel
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Cuántas veces acertaron las noticias
La tasa de acierto de cada fuente frente al azar
Preguntas Frecuentes
¿Qué es más fiable: CNBC o wallstreet-online Nachrichten?▼
CNBC (38.6 %) y wallstreet-online Nachrichten (36.8 %) reciben el mismo veredicto frente al azar, medido desde el primer precio negociable. Una tasa de acierto sin más refleja sobre todo qué mercados cubre una fuente; la diferencia entre las dos tasas por sí sola dice poco.
¿Cómo se calculan estas comparaciones?▼
Una IA valora el tono de cada titular como alcista, bajista o lateral para su mercado. Desde el primer precio al que un lector podía operar comprobamos el movimiento a los 1, 3 y 7 días y comparamos la tasa de acierto de cada fuente con el azar para su propia mezcla (método en /how-reliable-is). Se comparan ese veredicto, la mezcla de tonos y los mercados cubiertos.
¿Qué mercados cubren en común CNBC y wallstreet-online Nachrichten?▼
Comparten 46 contextos de mercado: AT&T, Amazon, Apple, Asian stocks, Australian stocks, BNB, Biogen, Biotech, Bitcoin, Brazilian, Commodities, Copper, DAX, Dell Technologies, EUR/USD, European stocks, Fortinet, French government bonds, Gold, Indian stocks, Japanese stocks, Lithium, Meta Platforms, NASDAQ, Netflix, Nike, Novo Nordisk, Oil, Oracle, Palantir, SK Hynix, Salesforce, Samsung Electronics, Silver, South Korean solar, Swiss Franc, Take-Two Interactive, Tesla, UK markets, USA, USD/JPY, Union Pacific, Xpeng, cryptocurrencies (Crypto), global markets, technology stocks (Tech). Cada fuente también puede cubrir mercados adicionales de forma independiente.
Nuestra Metodología
Una IA clasifica el tono de cada artículo como alcista, bajista o lateral para el mercado que trata. Desde el primer precio al que un lector podía operar tras la publicación, comprobamos el movimiento a los 1, 3 y 7 días. La tasa de acierto de una fuente se compara con el azar para las mismas valoraciones y resultados dentro de cada mercado, de modo que cubrir mercados tranquilos o agitados no aporta nada. Cada diferencia lleva un intervalo del 95 %; las comprobaciones cercanas en el tiempo se remuestrean juntas en bloques de 7 o 14 días, porque comparten movimientos del mercado. Un veredicto requiere al menos 300 comprobaciones y debe mantenerse tras corregir por el número de fuentes probadas (Holm). Responde a «¿se movió el mercado así?»: una tasa de acierto, no una rentabilidad. AIamond no hace previsiones propias.