Borsen DKvsFXStreet
Borsen DK (39.5 % de acierto) vs FXStreet (36.4 % 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 509 y 11412 titulares comprobados
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
Borsen DK
FXStreet
Cobertura de contextos de mercado
| Acierto por mercado | Borsen DK | FXStreet |
|---|---|---|
| ALK-Abelló | 1 (0%) | — |
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Alphabet | 1 (0%) | — |
| Aluminium | — | 5 (0%) |
| Amazon | — | 2 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | 1 (0%) | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 29 (10%) | 65 (1%) |
| Australian stocks | — | 114 (2%) |
| BNB | — | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Bitcoin | 1 (0%) | 77 (2%) |
| Boozt Group | 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%) |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| Carlsberg | 1 (0%) | — |
| Carlsberg IPO | 1 (0%) | — |
| China macro | — | 1 (0%) |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Cocoa Futures | — | 1 (0%) |
| Coloplast | 1 (0%) | — |
| Coloplast, Danish medtech company | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copenhagen housing | 2 (1%) | — |
| Copenhagen real estate | 1 (0%) | — |
| Copper | — | 14 (0%) |
| Czech Crown | — | 1 (0%) |
| DAX | 3 (1%) | 20 (0%) |
| DSV | 2 (1%) | — |
| DXY | — | 4 (0%) |
| 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%) | — |
| Demant | 2 (1%) | — |
| 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 | 1 (0%) | 572 (11%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 47 (16%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| FLSmidth mining equipment company | 1 (0%) | — |
| Forex | — | 1 (0%) |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | — | 526 (10%) |
| GN Store Group | 1 (0%) | — |
| Genmab | 3 (1%) | — |
| Gold | 3 (1%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hims & Hers Health | — | 1 (0%) |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| ISS A/S | 1 (0%) | — |
| Indian stocks | — | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 2 (1%) | 91 (2%) |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| Lundbeck | 1 (0%) | — |
| MENA FX | — | 1 (0%) |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Maersk | 1 (0%) | — |
| Maersk / Shipping | 1 (0%) | — |
| Mastercard Inc | — | 1 (0%) |
| Mendole | 1 (0%) | — |
| Meta | — | 1 (0%) |
| Mexican Peso | — | 1 (0%) |
| NASDAQ | 4 (1%) | 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%) |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand markets | — | 2 (0%) |
| Nike | 1 (0%) | — |
| Nordea Bank | 1 (0%) | — |
| Norden A/S | 1 (0%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | 10 (3%) | 1 (0%) |
| Novo Nordisk, Danish | 1 (0%) | — |
| Novonesis | 1 (0%) | — |
| OKLO | — | 1 (0%) |
| Oil | 43 (15%) | 522 (10%) |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Pandora | 1 (0%) | — |
| Pandora jewelry company | 1 (0%) | — |
| Pandora, Danish jewelry company | 1 (0%) | — |
| Pfizer | — | 1 (0%) |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Ralph Lauren | — | 1 (0%) |
| Romanian Leu | — | 1 (0%) |
| Royal Unibrew | 1 (0%) | — |
| SAS | 1 (0%) | — |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| Schenker | 1 (0%) | — |
| Silver | — | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 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%) |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | — | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish Lira | — | 3 (0%) |
| UK markets | 3 (1%) | 127 (2%) |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US pharmaceutical sector | 1 (0%) | — |
| USA | 36 (12%) | 540 (10%) |
| USD | — | 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 | 1 (0%) | 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%) |
| Volvo Cars | 1 (0%) | — |
| XRP | — | 30 (1%) |
| bank lending rates | 1 (0%) | — |
| cryptocurrencies (Crypto) | — | 34 (1%) |
| forex markets | — | 1 (0%) |
| global markets | 28 (9%) | 76 (2%) |
| insurance sector | 1 (0%) | — |
| mine equipment suppliers | 1 (0%) | — |
| professional services | 1 (0%) | — |
| technology stocks (Tech) | 24 (8%) | 49 (1%) |
| video game | 1 (0%) | — |
La situación informativa de hoy, no una previsión
Un breve correo diario gratuito con las noticias de mercado más relevantes y hacia dónde se inclinan, con fuentes.
Obtén Información de Mercado con IA Gratis
El panorama de las noticias de tus mercados, leídas por IA. Gratis, sin tarjeta de crédito.
Tendencias de mercado analizadas por IA
Consulta gratis las tendencias analizadas
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 FXStreet?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común Borsen DK y FXStreet?▼
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.