FXStreetvsHandelsblatt
FXStreet (36.4 % de acierto) vs Handelsblatt (34.5 % 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 11412 y 3334 titulares comprobados
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
FXStreet
Handelsblatt
Cobertura de contextos de mercado
| Acierto por mercado | FXStreet | Handelsblatt |
|---|---|---|
| AMD | 1 (0%) | — |
| APAC FX | 2 (0%) | — |
| ASEAN FX | 1 (0%) | — |
| AUD/JPY | 35 (1%) | — |
| AUD/NZD | 5 (0%) | — |
| AUD/USD | 87 (2%) | — |
| Aluminium | 5 (0%) | 1 (0%) |
| Amazon | 2 (0%) | — |
| Apple | 1 (0%) | — |
| Asia FX | 3 (0%) | — |
| Asian FX | 7 (0%) | — |
| Asian stocks | 65 (1%) | 116 (8%) |
| Australian stocks | 114 (2%) | 2 (0%) |
| BASF/Chemical Industry | — | 2 (0%) |
| BNB | 2 (0%) | 1 (0%) |
| BRL/USD | 3 (0%) | — |
| Bayer AG | — | 1 (0%) |
| Beiersdorf | — | 1 (0%) |
| Bending Spoons | — | 1 (0%) |
| Binance | — | 2 (0%) |
| Bitcoin | 77 (2%) | 15 (1%) |
| 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%) | — |
| 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%) | — |
| Chinese real estate | — | 1 (0%) |
| Cisco Systems | — | 1 (0%) |
| Cocoa Futures | 1 (0%) | — |
| Commerzbank | — | 1 (0%) |
| Commodities/Industrial Supply Chain | — | 1 (0%) |
| Copper | 14 (0%) | — |
| Czech Crown | 1 (0%) | — |
| DAX | 20 (0%) | 466 (33%) |
| DXY | 4 (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 | 572 (11%) | 5 (0%) |
| Estée Lauder | 1 (0%) | — |
| Ethereum | 10 (0%) | — |
| European Natural Gas | 1 (0%) | — |
| European gas | 1 (0%) | — |
| European stocks | 124 (2%) | 95 (7%) |
| Eurozone macro | 2 (0%) | — |
| Forex | 1 (0%) | — |
| GBP/JPY | 37 (1%) | — |
| GBP/USD | 526 (10%) | — |
| Gold | 510 (10%) | 24 (2%) |
| Goldman Sachs | 1 (0%) | — |
| 1 (0%) | — | |
| Hamburg real estate | — | 1 (0%) |
| Hannover Re | — | 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%) | — |
| Indian stocks | 90 (2%) | 4 (0%) |
| Indonesia | 2 (0%) | — |
| Indonesia Inflation | 1 (0%) | — |
| Indonesian | — | 2 (0%) |
| Indonesian Rupiah | 9 (0%) | — |
| Indonesian macroeconomics | 1 (0%) | — |
| Indonesian markets | 1 (0%) | — |
| Industrial Metals | — | 1 (0%) |
| Intel | — | 1 (0%) |
| Italian Telecom | — | 1 (0%) |
| Japanese stocks | 91 (2%) | 52 (4%) |
| KOSPI | 1 (0%) | — |
| KRW | 5 (0%) | — |
| KRW/KOSPI | 1 (0%) | — |
| KRW/USD | 4 (0%) | — |
| Korean Won | 2 (0%) | — |
| Korean markets | 1 (0%) | — |
| Lapp AG | — | 1 (0%) |
| MENA FX | 1 (0%) | — |
| MYR | 1 (0%) | — |
| MYR/USD | 4 (0%) | — |
| Mastercard Inc | 1 (0%) | — |
| Mercedes-Benz | — | 3 (0%) |
| Meta | 1 (0%) | — |
| Mexican Peso | 1 (0%) | — |
| NASDAQ | 45 (1%) | 55 (4%) |
| 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%) | — |
| Norwegian Krone | 5 (0%) | — |
| Novo Nordisk | 1 (0%) | — |
| OKLO | 1 (0%) | — |
| Oil | 522 (10%) | 98 (7%) |
| PBR | 1 (0%) | — |
| PHP | 1 (0%) | — |
| PHP/USD | 1 (0%) | — |
| PLN/EUR | 1 (0%) | — |
| Pfizer | 1 (0%) | — |
| Philippine Peso | 1 (0%) | — |
| Pi Network | 3 (0%) | — |
| Polish Zloty | 4 (0%) | — |
| Porsche | — | 1 (0%) |
| Private Credit | — | 1 (0%) |
| Ralph Lauren | 1 (0%) | — |
| Real Estate | — | 2 (0%) |
| Reinsurance | — | 1 (0%) |
| Romanian Leu | 1 (0%) | — |
| SEK | 1 (0%) | — |
| SEK/USD | 1 (0%) | — |
| SGD | 2 (0%) | — |
| SGD/SGDNEER | 1 (0%) | — |
| SGD/USD | 6 (0%) | — |
| Semiconductors | — | 1 (0%) |
| Silver | 222 (4%) | 2 (0%) |
| 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%) | — |
| Thai Baht | 7 (0%) | — |
| Travelers Insurance | 1 (0%) | — |
| Turkish Lira | 3 (0%) | 1 (0%) |
| Turkish stock | — | 1 (0%) |
| UBS | — | 1 (0%) |
| UK markets | 127 (2%) | 19 (1%) |
| US Dollar | 9 (0%) | — |
| US Dollar Index | 19 (0%) | — |
| US Government Bonds | — | 2 (0%) |
| USA | 540 (10%) | 269 (19%) |
| 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 | 693 (13%) | 8 (1%) |
| 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%) | — |
| Volkswagen | — | 1 (0%) |
| XRP | 30 (1%) | — |
| active ETFs in Germany | — | 1 (0%) |
| bond markets | — | 1 (0%) |
| cryptocurrencies (Crypto) | 34 (1%) | 4 (0%) |
| forex markets | 1 (0%) | — |
| global markets | 76 (2%) | 71 (5%) |
| real estate | — | 2 (0%) |
| technology stocks (Tech) | 49 (1%) | 75 (5%) |
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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: FXStreet o Handelsblatt?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común FXStreet y Handelsblatt?▼
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.