CNBC Technologyvswallstreet-online Nachrichten
CNBC Technology (43.1 % de acierto) vs wallstreet-online Nachrichten (36.2 % 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 596 y 1158 titulares comprobados
Posición #1 de — fuentes
Posición #14 de — fuentes
Tasa de acierto
Noticias comprobadas
Artículos Analizados
Relevancia Promedio
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
CNBC Technology
wallstreet-online Nachrichten
Cobertura de contextos de mercado
| Acierto por mercado | CNBC Technology | wallstreet-online Nachrichten |
|---|---|---|
| AI infrastructure firms | 1 (0%) | — |
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AXA | — | 1 (0%) |
| Accelevation Holdings | 1 (0%) | — |
| Adobe | — | 1 (0%) |
| Affirm | 1 (0%) | — |
| Airbus | — | 2 (0%) |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Amazon | — | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | — | 3 (1%) |
| Asian stocks | 7 (2%) | 3 (1%) |
| Australian stocks | 2 (1%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Aviation/Transport | — | 1 (0%) |
| Aviation/eVTOL | 1 (0%) | — |
| BMW | — | 1 (0%) |
| BNB | 2 (1%) | 1 (0%) |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 8 (3%) | 20 (3%) |
| BlackRock | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 1 (0%) |
| Canadian markets | — | 1 (0%) |
| Cannabis | — | 2 (0%) |
| Carrefour | — | 1 (0%) |
| Chinese solar sector | — | 1 (0%) |
| Circle | 1 (0%) | — |
| Coca-Cola | — | 1 (0%) |
| Commodities | — | 1 (0%) |
| Copper | — | 2 (0%) |
| D-Wave | — | 1 (0%) |
| DAX | — | 54 (9%) |
| DHL Group | — | 1 (0%) |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | — | 1 (0%) |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| EUR/USD | — | 4 (1%) |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 1 (0%) |
| European natural gas | — | 1 (0%) |
| European stocks | 1 (0%) | 39 (6%) |
| Eutelsat | 1 (0%) | — |
| Evotec | — | 1 (0%) |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| General Motors | — | 1 (0%) |
| Gold | — | 28 (4%) |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Humanoid Robots | 1 (0%) | — |
| Hungarian markets | — | 1 (0%) |
| IBM | 1 (0%) | 1 (0%) |
| IMAX | — | 1 (0%) |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | — | 3 (1%) |
| Intel | 1 (0%) | — |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 3 (1%) | 2 (0%) |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| Mensch und Maschine | — | 1 (0%) |
| Meta Platforms | — | 2 (0%) |
| Micron | — | 1 (0%) |
| Microsoft | 1 (0%) | — |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | 14 (5%) | 16 (3%) |
| Nanexa | — | 1 (0%) |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| NextDC | — | 1 (0%) |
| Nike | — | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Novo Nordisk | — | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| Nvidia | 2 (1%) | — |
| Nvidia corporate governance | 1 (0%) | — |
| Oil | — | 96 (15%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (0%) |
| 1 (0%) | — | |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| Redcare Pharmacy | — | 1 (0%) |
| 2 (1%) | — | |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| Robinhood | 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 | — | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Shein IPO | 1 (0%) | — |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | — | 11 (2%) |
| Snap Inc | 1 (0%) | — |
| SoftBank | — | 1 (0%) |
| South Korean | — | 1 (0%) |
| South Korean defense | 1 (0%) | — |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swiss Franc | — | 1 (0%) |
| Take-Two Interactive | — | 2 (0%) |
| Target | — | 1 (0%) |
| Tech | 1 (0%) | — |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thyssenkrupp | — | 1 (0%) |
| UK markets | 1 (0%) | 3 (1%) |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| USA | 21 (7%) | 57 (9%) |
| USD/JPY | — | 1 (0%) |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Ubisoft | 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 | — | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| consumer | 1 (0%) | — |
| cryptocurrencies (Crypto) | 8 (3%) | 7 (1%) |
| general | — | 1 (0%) |
| global markets | 3 (1%) | 15 (2%) |
| government bond yields | 1 (0%) | — |
| online retail / e-commerce | — | 1 (0%) |
| restaurant | — | 1 (0%) |
| smartphone | 1 (0%) | — |
| technology stocks (Tech) | 205 (68%) | 98 (15%) |
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La tasa de acierto de cada fuente frente al azar
Preguntas Frecuentes
¿Qué es más fiable: CNBC Technology o wallstreet-online Nachrichten?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común CNBC Technology y wallstreet-online Nachrichten?▼
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.