Borsen DKvsCNBC
Borsen DK (39.5 % de acierto) vs CNBC (38.6 % 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 501 y 3893 titulares comprobados
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
Borsen DK
CNBC
Cobertura de contextos de mercado
| Acierto por mercado | Borsen DK | CNBC |
|---|---|---|
| ALK-Abelló | 1 (0%) | — |
| AST SpaceMobile | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| Adobe, single software | — | 1 (0%) |
| Affirm Holdings | — | 1 (0%) |
| Airline | — | 1 (0%) |
| Alphabet | 1 (0%) | — |
| Aluminum | — | 2 (0%) |
| Amazon | — | 4 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | 1 (0%) | 2 (0%) |
| Asian stocks | 29 (10%) | 51 (3%) |
| Australian stocks | — | 6 (0%) |
| Automotive industry | — | 1 (0%) |
| Autonomous driving | — | 1 (0%) |
| BNB | — | 1 (0%) |
| Baidu | — | 1 (0%) |
| Berkshire Hathaway | — | 1 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 1 (0%) | 25 (2%) |
| Block Inc | — | 1 (0%) |
| Booking Holdings | — | 1 (0%) |
| Boozt Group | 1 (0%) | — |
| Brazilian | — | 2 (0%) |
| Brazilian real | — | 1 (0%) |
| CVS Health, healthcare/managed care | — | 1 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 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%) |
| Coloplast | 1 (0%) | — |
| Coloplast, Danish medtech company | 1 (0%) | — |
| Commodities | 1 (0%) | 1 (0%) |
| Copenhagen housing | 2 (1%) | — |
| Copenhagen real estate | 1 (0%) | — |
| Copper | — | 3 (0%) |
| CoreWeave | — | 4 (0%) |
| DAX | 2 (1%) | 7 (0%) |
| DSV | 2 (1%) | — |
| Danish | 5 (2%) | — |
| Danish bank | 1 (0%) | — |
| Danish defense-sector businesses | 1 (0%) | — |
| Danish economy | 1 (0%) | — |
| Danish housing | 1 (0%) | — |
| Danish inflation | 1 (0%) | — |
| Danish real estate | 4 (1%) | — |
| Danske Bank | 1 (0%) | — |
| Dell Technologies | — | 2 (0%) |
| Demant | 2 (1%) | — |
| EUR/USD | 1 (0%) | 3 (0%) |
| Eli Lilly | — | 1 (0%) |
| Etsy | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 47 (16%) | 57 (3%) |
| Expedia Group | — | 1 (0%) |
| Ferrari | — | 1 (0%) |
| Ford Motor Company | — | 1 (0%) |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 1 (0%) |
| GBP/USD | — | 1 (0%) |
| GN Store Group | 1 (0%) | — |
| Generac Holdings | — | 1 (0%) |
| Genmab | 3 (1%) | — |
| Gold | 3 (1%) | 34 (2%) |
| Hanwha Ocean | — | 1 (0%) |
| Hewlett Packard Enterprise | — | 1 (0%) |
| Homebuilder | — | 1 (0%) |
| Hybe | — | 1 (0%) |
| ISS A/S | 1 (0%) | — |
| Iceland EU vote | — | 1 (0%) |
| Indian stocks | — | 23 (1%) |
| Japanese stocks | 2 (1%) | 20 (1%) |
| JetBlue | — | 1 (0%) |
| Johnson & Johnson | — | 1 (0%) |
| Korean | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lucid Motors | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| Luxury sector | — | 2 (0%) |
| MGM Resorts | — | 1 (0%) |
| Madison Air IPO | — | 1 (0%) |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mastercard | — | 1 (0%) |
| MaxLinear | — | 1 (0%) |
| Mendole | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| Micron Technology | — | 1 (0%) |
| Microsoft | — | 1 (0%) |
| Municipal Bonds | — | 1 (0%) |
| NASDAQ | 4 (1%) | 47 (3%) |
| Netflix | — | 2 (0%) |
| New Zealand exporters | — | 1 (0%) |
| Nike | 1 (0%) | 3 (0%) |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Novo Nordisk | 10 (3%) | 2 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novonesis | 1 (0%) | — |
| Nvidia | — | 1 (0%) |
| Oil | 43 (15%) | 306 (18%) |
| Oracle | — | 2 (0%) |
| Palantir | — | 2 (0%) |
| Palantir Technologies | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 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%) |
| Royal Unibrew | 1 (0%) | — |
| SAS | 1 (0%) | — |
| SK Hynix | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Samsung Electronics | — | 1 (0%) |
| Saudi Aramco | — | 1 (0%) |
| Schenker | 1 (0%) | — |
| Seven & i Holdings | — | 1 (0%) |
| Sherwin-Williams | — | 1 (0%) |
| Silver | — | 4 (0%) |
| SoFi Technologies | — | 1 (0%) |
| 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%) | 1 (0%) |
| Tapestry Inc | — | 1 (0%) |
| Target Corp | — | 1 (0%) |
| Tesla | — | 2 (0%) |
| Turkish | — | 1 (0%) |
| UK markets | 3 (1%) | 21 (1%) |
| US Banking Sector | — | 1 (0%) |
| US apartment rents | — | 1 (0%) |
| US mortgage rates | — | 1 (0%) |
| US pharmaceutical sector | 1 (0%) | — |
| US-China summit expectations | — | 1 (0%) |
| USA | 36 (12%) | 459 (27%) |
| USD | — | 2 (0%) |
| USD/JPY | 1 (0%) | 15 (1%) |
| Union Pacific | — | 1 (0%) |
| Utilities sector | — | 1 (0%) |
| Visa | — | 1 (0%) |
| Volvo Cars | 1 (0%) | — |
| Walmart | — | 1 (0%) |
| Wendy's | — | 2 (0%) |
| West Pharma | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zebra Technologies | — | 1 (0%) |
| bank lending rates | 1 (0%) | — |
| biotech | — | 1 (0%) |
| bond | — | 1 (0%) |
| consumer stock/haircare sector | — | 1 (0%) |
| cryptocurrencies (Crypto) | — | 15 (1%) |
| data storage manufacturer | — | 1 (0%) |
| defense industry | — | 1 (0%) |
| global markets | 28 (10%) | 135 (8%) |
| home furnishings | — | 1 (0%) |
| insurance sector | 1 (0%) | — |
| memory | — | 1 (0%) |
| mine equipment suppliers | 1 (0%) | — |
| natural gas pipeline operators | — | 1 (0%) |
| prediction markets / Robinhood | — | 1 (0%) |
| professional services | 1 (0%) | — |
| retail | — | 1 (0%) |
| small-cap | — | 1 (0%) |
| software stock / Salesforce | — | 1 (0%) |
| technology stocks (Tech) | 24 (8%) | 314 (19%) |
| uranium | — | 1 (0%) |
| video game | 1 (0%) | — |
La situación informativa de hoy, no una previsión
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Tu Propio Panel
Listas de seguimiento y el panorama de noticias, cuando quieras
Cuántas veces acertaron las noticias
La tasa de acierto de cada fuente frente al azar
Preguntas Frecuentes
¿Qué es más fiable: Borsen DK o CNBC?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común Borsen DK y CNBC?▼
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.