CNBCvsCoinDesk
CNBC (38.6 % de acierto) vs CoinDesk (37.3 % 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 1425 titulares comprobados
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
CNBC
CoinDesk
Cobertura de contextos de mercado
| Acierto por mercado | CNBC | CoinDesk |
|---|---|---|
| AST SpaceMobile | 1 (0%) | — |
| AT&T | 1 (0%) | — |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airline | 1 (0%) | — |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | — |
| Apple | 2 (0%) | — |
| Asian stocks | 51 (3%) | — |
| Australian stocks | 6 (0%) | 3 (0%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| Avalanche | — | 2 (0%) |
| BNB | 1 (0%) | 2 (0%) |
| Baidu | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 495 (68%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | — |
| Brazilian real | 1 (0%) | — |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Cardano | — | 1 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China trade data | 1 (0%) | — |
| Chinese biopharma | 1 (0%) | — |
| Chinese economy | 1 (0%) | — |
| Chipotle Mexican Grill | 1 (0%) | — |
| Coinbase | 1 (0%) | 1 (0%) |
| Commodities | 1 (0%) | — |
| Copper | 3 (0%) | — |
| CoreWeave | 4 (0%) | — |
| DAX | 7 (0%) | — |
| Dell Technologies | 2 (0%) | — |
| Dogecoin | — | 1 (0%) |
| EUR/USD | 3 (0%) | — |
| Eli Lilly | 1 (0%) | — |
| Ethereum | — | 22 (3%) |
| Etsy | 1 (0%) | — |
| European stocks | 57 (3%) | 1 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Fortinet | 1 (0%) | — |
| French government bonds | 1 (0%) | — |
| GBP/USD | 1 (0%) | — |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | 1 (0%) |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Homebuilder | 1 (0%) | — |
| Hybe | 1 (0%) | — |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 2 (0%) |
| Japanese stocks | 20 (1%) | 2 (0%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| Korean | 1 (0%) | — |
| Lithium | 1 (0%) | — |
| Lucid Motors | 1 (0%) | — |
| Luxury sector | 2 (0%) | — |
| MGM Resorts | 1 (0%) | — |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| MaxLinear | 1 (0%) | — |
| Meta Platforms | 2 (0%) | — |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 9 (1%) |
| Netflix | 2 (0%) | — |
| New Zealand exporters | 1 (0%) | — |
| Nike | 3 (0%) | — |
| Novo Nordisk | 2 (0%) | — |
| Nvidia | 1 (0%) | — |
| Oil | 306 (18%) | 2 (0%) |
| Oracle | 2 (0%) | — |
| Palantir | 2 (0%) | — |
| Palantir Technologies | 1 (0%) | — |
| Paramount/Warner Bros merger | 1 (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%) | — |
| Qantas | 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%) | — |
| Royal Caribbean Cruises | 1 (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%) | — |
| SoFi Technologies | 1 (0%) | — |
| Solana | — | 7 (1%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | — |
| SpaceX IPO | 1 (0%) | — |
| Swiss Franc | 2 (0%) | — |
| Taiwan economy | 1 (0%) | — |
| Take-Two Interactive | 1 (0%) | — |
| Tapestry Inc | 1 (0%) | — |
| Target Corp | 1 (0%) | — |
| Tesla | 2 (0%) | — |
| Turkish | 1 (0%) | — |
| UK markets | 21 (1%) | 3 (0%) |
| US Banking Sector | 1 (0%) | — |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 9 (1%) |
| USD | 2 (0%) | — |
| USD/JPY | 15 (1%) | — |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 28 (4%) |
| Xpeng | 1 (0%) | — |
| Zebra Technologies | 1 (0%) | — |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 129 (18%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| global markets | 136 (8%) | 4 (1%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| neocloud/AI infrastructure | — | 1 (0%) |
| prediction markets / Robinhood | 1 (0%) | — |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 4 (1%) |
| 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 CoinDesk?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común CNBC y CoinDesk?▼
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.