Comparación directa
FXStreetvswallstreet-online Nachrichten
FXStreet (36.4 % de acierto) vs wallstreet-online Nachrichten (36.8 % 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 1181 titulares comprobados
Tasa de acierto
36.4%vs36.8%
Noticias comprobadas
11,412vs1,181
Artículos Analizados
6,057vs651
Relevancia Promedio
-vs-
Análisis de sentimiento y sesgo
Lo alcistas o bajistas que suelen ser los titulares de cada fuente.
Distribución de sentimiento
FXStreet
Sentimiento promedio: -0.07
Alcista 38%Neutral 11%Bajista 51%
wallstreet-online Nachrichten
Sentimiento promedio: 0.00
Alcista 47%Neutral 3%Bajista 50%
Cobertura de contextos de mercado
| Acierto por mercado | FXStreet | wallstreet-online Nachrichten |
|---|---|---|
| AMD | 1 (0%) | — |
| APAC FX | 2 (0%) | — |
| ASEAN FX | 1 (0%) | — |
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AUD/JPY | 35 (1%) | — |
| AUD/NZD | 5 (0%) | — |
| AUD/USD | 87 (2%) | — |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Airbus | — | 2 (0%) |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Aluminium | 5 (0%) | — |
| Amazon | 2 (0%) | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | 1 (0%) | 3 (1%) |
| Asia FX | 3 (0%) | — |
| Asian FX | 7 (0%) | — |
| Asian stocks | 65 (1%) | 3 (1%) |
| Australian stocks | 114 (2%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | 2 (0%) | 1 (0%) |
| BRL/USD | 3 (0%) | — |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 77 (2%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 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%) | 1 (0%) |
| Canadian rates | 1 (0%) | — |
| Cannabis | — | 2 (0%) |
| Cardano | 8 (0%) | — |
| Carrefour | — | 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%) | — |
| Chinese solar sector | — | 1 (0%) |
| Coca-Cola | — | 1 (0%) |
| Cocoa Futures | 1 (0%) | — |
| Commodities | — | 1 (0%) |
| Copper | 14 (0%) | 2 (0%) |
| Czech Crown | 1 (0%) | — |
| D-Wave | — | 1 (0%) |
| DAX | 20 (0%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| DXY | 4 (0%) | — |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | — | 1 (0%) |
| Denison Mine | 1 (0%) | — |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| 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%) | 4 (1%) |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | 1 (0%) | 1 (0%) |
| Ethereum | 10 (0%) | 1 (0%) |
| European Natural Gas | 1 (0%) | — |
| European gas | 1 (0%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 124 (2%) | 40 (6%) |
| Eurozone macro | 2 (0%) | — |
| Evotec | — | 1 (0%) |
| Forex | 1 (0%) | — |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| GBP/JPY | 37 (1%) | — |
| GBP/USD | 526 (10%) | — |
| General Motors | — | 1 (0%) |
| Gold | 510 (10%) | 28 (4%) |
| Goldman Sachs | 1 (0%) | — |
| 1 (0%) | — | |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Hims & Hers Health | 1 (0%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hong Kong SME Business | 1 (0%) | — |
| Hungarian Forint | 6 (0%) | — |
| Hungarian economy | 1 (0%) | — |
| Hungarian markets | — | 1 (0%) |
| IBM | — | 1 (0%) |
| IDR/USD | 5 (0%) | — |
| IMAX | — | 1 (0%) |
| INR | 1 (0%) | — |
| INR/USD | 4 (0%) | — |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | 90 (2%) | 3 (1%) |
| Indonesia | 2 (0%) | — |
| Indonesia Inflation | 1 (0%) | — |
| Indonesian Rupiah | 9 (0%) | — |
| Indonesian macroeconomics | 1 (0%) | — |
| Indonesian markets | 1 (0%) | — |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 91 (2%) | 2 (0%) |
| KOSPI | 1 (0%) | — |
| KRW | 5 (0%) | — |
| KRW/KOSPI | 1 (0%) | — |
| KRW/USD | 4 (0%) | — |
| Korean Won | 2 (0%) | — |
| Korean markets | 1 (0%) | — |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| MENA FX | 1 (0%) | — |
| MYR | 1 (0%) | — |
| MYR/USD | 4 (0%) | — |
| Mastercard Inc | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| Mexican Peso | 1 (0%) | — |
| Micron | — | 1 (0%) |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | 45 (1%) | 16 (3%) |
| 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%) | — |
| Nanexa | — | 1 (0%) |
| Natural Gas | 3 (0%) | — |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| New Zealand | 1 (0%) | — |
| New Zealand Trade Balance | 1 (0%) | — |
| New Zealand markets | 2 (0%) | — |
| NextDC | — | 1 (0%) |
| Nike | — | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Norwegian Krone | 5 (0%) | — |
| Novo Nordisk | 1 (0%) | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| OKLO | 1 (0%) | — |
| Oil | 522 (10%) | 96 (15%) |
| Oracle | — | 2 (0%) |
| PBR | 1 (0%) | — |
| PHP | 1 (0%) | — |
| PHP/USD | 1 (0%) | — |
| PLN/EUR | 1 (0%) | — |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (0%) |
| Pfizer | 1 (0%) | — |
| Philippine Peso | 1 (0%) | — |
| Pi Network | 3 (0%) | — |
| Polish Zloty | 4 (0%) | — |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| RWE | — | 1 (0%) |
| Ralph Lauren | 1 (0%) | — |
| Redcare Pharmacy | — | 1 (0%) |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| Romanian Leu | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SEK | 1 (0%) | — |
| SEK/USD | 1 (0%) | — |
| SGD | 2 (0%) | — |
| SGD/SGDNEER | 1 (0%) | — |
| SGD/USD | 6 (0%) | — |
| SK Hynix | — | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | — | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | 222 (4%) | 11 (2%) |
| Singapore CPI | 1 (0%) | — |
| Singapore Economy | 1 (0%) | — |
| Singapore GDP | 1 (0%) | — |
| Singapore macro | 1 (0%) | — |
| SoftBank | — | 1 (0%) |
| Solana | 5 (0%) | — |
| South African Rand | 2 (0%) | — |
| South Korean | — | 1 (0%) |
| South Korean Won | 1 (0%) | — |
| South Korean markets | 2 (0%) | — |
| South Korean monetary policy | 1 (0%) | — |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swedish Krona | 1 (0%) | — |
| Swedish interest rates | 1 (0%) | — |
| Swiss Franc | 3 (0%) | 1 (0%) |
| Synthetix | 1 (0%) | — |
| THB/USD | 1 (0%) | — |
| Taiwan Dollar | 1 (0%) | — |
| Taiwan macro | 1 (0%) | — |
| Taiwan tech exports | 1 (0%) | — |
| Take-Two Interactive | — | 2 (0%) |
| Target | — | 1 (0%) |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thai Baht | 7 (0%) | — |
| Thyssenkrupp | — | 1 (0%) |
| Travelers Insurance | 1 (0%) | — |
| Turkish Lira | 3 (0%) | — |
| UK markets | 127 (2%) | 3 (1%) |
| US Dollar | 9 (0%) | — |
| US Dollar Index | 19 (0%) | — |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| USA | 540 (10%) | 57 (9%) |
| 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%) | 1 (0%) |
| 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%) | — |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | — | 1 (0%) |
| Uranium | — | 1 (0%) |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vincorion | — | 1 (0%) |
| Vonovia | — | 2 (0%) |
| XRP | 30 (1%) | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| cryptocurrencies (Crypto) | 34 (1%) | 7 (1%) |
| forex markets | 1 (0%) | — |
| general | — | 1 (0%) |
| global markets | 76 (2%) | 15 (2%) |
| online retail / e-commerce | — | 1 (0%) |
| restaurant | — | 1 (0%) |
| technology stocks (Tech) | 49 (1%) | 98 (15%) |
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: FXStreet o wallstreet-online Nachrichten?▼
FXStreet (36.4 %) y wallstreet-online Nachrichten (36.8 %) 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 FXStreet y wallstreet-online Nachrichten?▼
Comparten 28 contextos de mercado: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Canadian markets, Copper, DAX, EUR/USD, Estée Lauder, Ethereum, European stocks, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD/JPY, XRP, 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.