Comparación directa
CNBCvsFXStreet
CNBC (38.6 % 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 3910 y 11412 titulares comprobados
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%
FXStreet
Sentimiento promedio: -0.07
Alcista 38%Neutral 11%Bajista 51%
Cobertura de contextos de mercado
| Acierto por mercado | CNBC | FXStreet |
|---|---|---|
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AST SpaceMobile | 1 (0%) | — |
| AT&T | 1 (0%) | — |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Adobe, single software | 1 (0%) | — |
| Affirm Holdings | 1 (0%) | — |
| Airline | 1 (0%) | — |
| Aluminium | — | 5 (0%) |
| Aluminum | 2 (0%) | — |
| Amazon | 4 (0%) | 2 (0%) |
| Apple | 2 (0%) | 1 (0%) |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 51 (3%) | 65 (1%) |
| Australian stocks | 6 (0%) | 114 (2%) |
| Automotive industry | 1 (0%) | — |
| Autonomous driving | 1 (0%) | — |
| BNB | 1 (0%) | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Baidu | 1 (0%) | — |
| Berkshire Hathaway | 1 (0%) | — |
| Biogen | 1 (0%) | — |
| Biotech | 1 (0%) | — |
| Bitcoin | 25 (2%) | 77 (2%) |
| Block Inc | 1 (0%) | — |
| Booking Holdings | 1 (0%) | — |
| Brazilian | 2 (0%) | — |
| Brazilian real | 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%) |
| CVS Health, healthcare/managed care | 1 (0%) | — |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| ChargePoint | 1 (0%) | — |
| China industrial profits | 1 (0%) | — |
| China macro | — | 1 (0%) |
| China trade data | 1 (0%) | — |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese biopharma | 1 (0%) | — |
| Chinese credit | — | 1 (0%) |
| Chinese economy | 1 (0%) | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Chipotle Mexican Grill | 1 (0%) | — |
| Cocoa Futures | — | 1 (0%) |
| Coinbase | 1 (0%) | — |
| Commodities | 1 (0%) | — |
| Copper | 3 (0%) | 14 (0%) |
| CoreWeave | 4 (0%) | — |
| Czech Crown | — | 1 (0%) |
| DAX | 7 (0%) | 20 (0%) |
| DXY | — | 4 (0%) |
| Dell Technologies | 2 (0%) | — |
| 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 | 3 (0%) | 572 (11%) |
| Eli Lilly | 1 (0%) | — |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| Etsy | 1 (0%) | — |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European stocks | 57 (3%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Expedia Group | 1 (0%) | — |
| Ferrari | 1 (0%) | — |
| Ford Motor Company | 1 (0%) | — |
| Forex | — | 1 (0%) |
| Fortinet | 1 (0%) | — |
| French government bonds | 1 (0%) | — |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | 1 (0%) | 526 (10%) |
| Generac Holdings | 1 (0%) | — |
| Gold | 34 (2%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hanwha Ocean | 1 (0%) | — |
| Hewlett Packard Enterprise | 1 (0%) | — |
| Hims & Hers Health | — | 1 (0%) |
| Homebuilder | 1 (0%) | — |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| Hybe | 1 (0%) | — |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| Iceland EU vote | 1 (0%) | — |
| Indian stocks | 23 (1%) | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Japanese stocks | 20 (1%) | 91 (2%) |
| JetBlue | 1 (0%) | — |
| Johnson & Johnson | 1 (0%) | — |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Korean | 1 (0%) | — |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| Lithium | 1 (0%) | — |
| Lucid Motors | 1 (0%) | — |
| Luxury sector | 2 (0%) | — |
| MENA FX | — | 1 (0%) |
| MGM Resorts | 1 (0%) | — |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Madison Air IPO | 1 (0%) | — |
| Mastercard | 1 (0%) | — |
| Mastercard Inc | — | 1 (0%) |
| MaxLinear | 1 (0%) | — |
| Meta | — | 1 (0%) |
| Meta Platforms | 2 (0%) | — |
| Mexican Peso | — | 1 (0%) |
| Micron Technology | 1 (0%) | — |
| Microsoft | 1 (0%) | — |
| Municipal Bonds | 1 (0%) | — |
| NASDAQ | 48 (3%) | 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%) |
| Netflix | 2 (0%) | — |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand exporters | 1 (0%) | — |
| New Zealand markets | — | 2 (0%) |
| Nike | 3 (0%) | — |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | 2 (0%) | 1 (0%) |
| Nvidia | 1 (0%) | — |
| OKLO | — | 1 (0%) |
| Oil | 306 (18%) | 522 (10%) |
| Oracle | 2 (0%) | — |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Palantir | 2 (0%) | — |
| Palantir Technologies | 1 (0%) | — |
| Paramount/Warner Bros merger | 1 (0%) | — |
| Peloton | 1 (0%) | — |
| Penguin Solutions | 1 (0%) | — |
| PepsiCo | 1 (0%) | — |
| Pfizer | — | 1 (0%) |
| Pharmaceutical | 1 (0%) | — |
| Pharmaceutical ETF | 1 (0%) | — |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Pop Mart | 1 (0%) | — |
| Private Credit | 1 (0%) | — |
| Qantas | 1 (0%) | — |
| Ralph Lauren | — | 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%) | — |
| Romanian Leu | — | 1 (0%) |
| Royal Caribbean Cruises | 1 (0%) | — |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (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%) | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| SoFi Technologies | 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%) |
| South Korean rates | 1 (0%) | — |
| South Korean solar | 1 (0%) | — |
| SpaceX IPO | 1 (0%) | — |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | 2 (0%) | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan economy | 1 (0%) | — |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Take-Two Interactive | 1 (0%) | — |
| Tapestry Inc | 1 (0%) | — |
| Target Corp | 1 (0%) | — |
| Tesla | 2 (0%) | — |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| Turkish Lira | — | 3 (0%) |
| UK markets | 21 (1%) | 127 (2%) |
| US Banking Sector | 1 (0%) | — |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US apartment rents | 1 (0%) | — |
| US mortgage rates | 1 (0%) | — |
| US-China summit expectations | 1 (0%) | — |
| USA | 462 (27%) | 540 (10%) |
| USD | 2 (0%) | 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 | 15 (1%) | 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%) |
| Union Pacific | 1 (0%) | — |
| Utilities sector | 1 (0%) | — |
| Visa | 1 (0%) | — |
| Walmart | 1 (0%) | — |
| Wendy's | 2 (0%) | — |
| West Pharma | 1 (0%) | — |
| XRP | — | 30 (1%) |
| Xpeng | 1 (0%) | — |
| Zebra Technologies | 1 (0%) | — |
| biotech | 1 (0%) | — |
| bond | 1 (0%) | — |
| consumer stock/haircare sector | 1 (0%) | — |
| cryptocurrencies (Crypto) | 15 (1%) | 34 (1%) |
| data storage manufacturer | 1 (0%) | — |
| defense industry | 1 (0%) | — |
| forex markets | — | 1 (0%) |
| global markets | 136 (8%) | 76 (2%) |
| home furnishings | 1 (0%) | — |
| memory | 1 (0%) | — |
| natural gas pipeline operators | 1 (0%) | — |
| prediction markets / Robinhood | 1 (0%) | — |
| retail | 1 (0%) | — |
| small-cap | 1 (0%) | — |
| software stock / Salesforce | 1 (0%) | — |
| technology stocks (Tech) | 315 (19%) | 49 (1%) |
| uranium | 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: CNBC o FXStreet?▼
CNBC (38.6 %) y FXStreet (36.4 %) 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 FXStreet?▼
Comparten 27 contextos de mercado: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Chinese economy, Copper, DAX, EUR/USD, European stocks, GBP/USD, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD, USD/JPY, 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.