Comparación directa
Financial TimesvsHandelsblatt
Financial Times (37.4% de precisión) vs Handelsblatt (38.1% de precisión) — comparación detallada de la fiabilidad de pronósticos de mercado.
Ambas fuentes muestran precisión similar
Basado en 503 y 105 pronósticos evaluados respectivamente
Precisión
37.4%vs38.1%
Pronósticos Evaluados
503vs105
Artículos Analizados
0vs0
Relevancia Promedio
-vs-
Análisis de sentimiento y sesgo
Qué tan alcistas o bajistas tienden a ser los pronósticos de cada fuente.
Distribución de sentimiento
Financial Times
Sentimiento promedio: 0.31
Alcista 64%Neutral 5%Bajista 32%
Handelsblatt
Sentimiento promedio: 0.26
Alcista 58%Neutral 11%Bajista 30%
Precisión en mercados compartidos
Comparación de precisión lado a lado para mercados que cubren tanto Financial Times como Handelsblatt.
Precisión por contexto de mercado
Precisión a lo largo del tiempo
Tendencia de precisión de 90 días para ambas fuentes superpuesta en el mismo gráfico.
Tendencia de precisión de 90 días
Cobertura de contextos de mercado
| Precisión por Mercado | Financial Times | Handelsblatt |
|---|---|---|
| Asia markets | 1 (0%) | — |
| Asian equities | 2 (0%) | — |
| Asian markets | 2 (0%) | — |
| Asian stocks | 2 (0%) | — |
| Australia | 1 (0%) | — |
| Bitcoin | 12 (2%) | 3 (3%) |
| China | 1 (0%) | — |
| China stocks | 1 (0%) | — |
| DAX | 9 (2%) | 37 (32%) |
| Euro Bonds | 1 (0%) | — |
| European stocks | 1 (0%) | — |
| India | 1 (0%) | — |
| India's banking sector | 1 (0%) | — |
| India's economic growth | 1 (0%) | — |
| India's economy | 1 (0%) | — |
| India's export market | 1 (0%) | — |
| Japan equities | 1 (0%) | — |
| Oil | 1 (0%) | — |
| Thailand's manufacturing and investment appeal | 1 (0%) | — |
| UK markets | 1 (0%) | — |
| USA | 106 (19%) | 16 (14%) |
| credit markets | 1 (0%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | — |
| emerging markets | 5 (1%) | — |
| emerging-market assets | 1 (0%) | — |
| emerging-market currencies and stocks | 1 (0%) | — |
| emerging-market stocks | 1 (0%) | — |
| energy ETFs | 1 (0%) | — |
| global markets | 75 (14%) | 12 (10%) |
| other | 5 (1%) | — |
| other (AI investment) | 1 (0%) | — |
| other (ASX Ltd.) | 2 (0%) | — |
| other (Adidas AG) | 1 (0%) | — |
| other (Adidas stock) | — | 2 (2%) |
| other (Adidas) | — | 1 (1%) |
| other (African dollar bonds) | 1 (0%) | — |
| other (Airbnb) | — | 1 (1%) |
| other (Allianz) | 1 (0%) | — |
| other (Asian equities) | 1 (0%) | — |
| other (Asian junk bonds) | 1 (0%) | — |
| other (Asian markets) | — | 1 (1%) |
| other (AstraZeneca) | 1 (0%) | — |
| other (Australia corporate earnings) | 1 (0%) | — |
| other (Australian dollar) | 2 (0%) | — |
| other (Australian stocks) | 1 (0%) | — |
| other (Bank of England interest rate expectations) | 1 (0%) | — |
| other (Beiersdorf AG) | 1 (0%) | — |
| other (Beiersdorf) | — | 1 (1%) |
| other (Blue Owl Capital Inc.) | 1 (0%) | — |
| other (Brightline bonds) | 1 (0%) | — |
| other (British Airways/IAG SA) | 1 (0%) | — |
| other (British pound) | 1 (0%) | — |
| other (Canadian energy stocks) | 1 (0%) | — |
| other (Chile's monetary policy and economic outlook) | 1 (0%) | — |
| other (China stocks) | 1 (0%) | — |
| other (China's electric-vehicle sector) | 1 (0%) | — |
| other (Chinese AI stocks) | 1 (0%) | — |
| other (Chinese Tech Stocks) | 1 (0%) | — |
| other (Chinese Yuan) | 1 (0%) | — |
| other (Chinese assets) | 1 (0%) | — |
| other (Chinese consumer stocks) | 1 (0%) | — |
| other (Chinese equities) | 1 (0%) | — |
| other (Chinese government bonds) | 1 (0%) | — |
| other (Chinese stocks) | 2 (0%) | — |
| other (Citigroup Inc.) | 1 (0%) | — |
| other (Commerzbank) | — | 1 (1%) |
| other (Copper market) | 1 (0%) | — |
| other (Coreweave) | — | 1 (1%) |
| other (Covestro) | — | 2 (2%) |
| other (Czech monetary policy) | 2 (0%) | — |
| other (Delta Electronics Thailand Pcl) | 1 (0%) | — |
| other (Dubai stocks) | 1 (0%) | — |
| other (Ebay) | — | 1 (1%) |
| other (Egyptian stock market) | 1 (0%) | — |
| other (Eli Lilly & Co. sales forecast) | 1 (0%) | — |
| other (Emerging Markets) | 1 (0%) | — |
| other (Emerging-market stocks) | 1 (0%) | — |
| other (Enel stock) | — | 1 (1%) |
| other (Europe's economy) | 1 (0%) | — |
| other (European and Japanese stocks) | 1 (0%) | — |
| other (European banks) | 1 (0%) | — |
| other (European construction industry) | — | 2 (2%) |
| other (European junk-rated retail bonds) | 1 (0%) | — |
| other (European natural gas market) | 1 (0%) | — |
| other (European oil and gas stocks) | 1 (0%) | — |
| other (European stocks) | 1 (0%) | 1 (1%) |
| other (FTSE 100) | 2 (0%) | — |
| other (Ferrari NV) | 2 (0%) | — |
| other (Finnish pension funds' stock holdings) | 1 (0%) | — |
| other (France's economy) | 1 (0%) | — |
| other (Generac's market) | 1 (0%) | — |
| other (German Economy) | 1 (0%) | — |
| other (German economy) | — | 2 (2%) |
| other (Germany's economy) | — | 1 (1%) |
| other (Global Weight-Loss Drug Market) | 1 (0%) | — |
| other (Gold market) | 5 (1%) | 1 (1%) |
| other (Gold) | 1 (0%) | — |
| other (Hong Kong economy) | 1 (0%) | — |
| other (Hong Kong luxury home market) | 1 (0%) | — |
| other (Hong Kong property market) | 1 (0%) | — |
| other (India stock market) | 2 (0%) | — |
| other (India's M&A market) | 1 (0%) | — |
| other (India's benchmark stock index) | 1 (0%) | — |
| other (India's economic growth prospects) | 1 (0%) | — |
| other (India's financial markets) | — | 1 (1%) |
| other (India's real estate market) | 1 (0%) | — |
| other (India's stock market) | 2 (0%) | — |
| other (Indian IT stocks) | 1 (0%) | — |
| other (Indian Rupee and foreign-exchange reserves) | 1 (0%) | — |
| other (Indian bonds) | 2 (0%) | — |
| other (Indian domestic shares) | 1 (0%) | — |
| other (Indian equities) | 1 (0%) | — |
| other (Indian imports of Russian oil) | 1 (0%) | — |
| other (Indian shares) | 1 (0%) | — |
| other (Indian small caps) | 1 (0%) | — |
| other (Indian stock market) | 1 (0%) | — |
| other (Indian stocks and Rupee) | 1 (0%) | — |
| other (Indian stocks) | 2 (0%) | — |
| other (Indonesia market) | 1 (0%) | — |
| other (Indonesia's sovereign credit profile) | 1 (0%) | — |
| other (Indonesian bonds) | 1 (0%) | — |
| other (Indonesian corporates) | 2 (0%) | — |
| other (Indonesian markets) | 1 (0%) | — |
| other (Indonesian stocks) | 1 (0%) | — |
| other (Intercontinental Hotels Group) | 1 (0%) | — |
| other (Japan bond market) | 1 (0%) | — |
| other (Japan's stock market) | 4 (1%) | 1 (1%) |
| other (Japanese Yen) | 2 (0%) | — |
| other (Japanese assets) | 1 (0%) | — |
| other (Japanese bonds) | 1 (0%) | — |
| other (Japanese debt market) | 2 (0%) | — |
| other (Japanese equities) | 1 (0%) | — |
| other (Japanese government bonds) | 5 (1%) | — |
| other (Japanese markets) | — | 2 (2%) |
| other (Japanese stock market) | 1 (0%) | 1 (1%) |
| other (Japanese stocks) | 7 (1%) | — |
| other (Japanese yen) | 2 (0%) | — |
| other (Kering/Gucci) | — | 1 (1%) |
| other (Knorr-Bremse) | — | 1 (1%) |
| other (Malaysian ringgit) | 2 (0%) | — |
| other (Mattel Inc.) | 1 (0%) | — |
| other (Mercedes stock) | — | 1 (1%) |
| other (Merck stock) | — | 1 (1%) |
| other (MongoDB) | 1 (0%) | — |
| other (Nestlé SA) | 1 (0%) | — |
| other (Netflix) | 1 (0%) | — |
| other (North Sea crude market) | 1 (0%) | — |
| other (Novo Nordisk A/S shares) | 1 (0%) | — |
| other (Novo Nordisk stock) | — | 1 (1%) |
| other (Oil and metals markets) | 1 (0%) | — |
| other (Oil market) | 2 (0%) | — |
| other (Omani stocks) | 2 (0%) | — |
| other (Palm Oil) | 2 (0%) | — |
| other (Panasonic Holdings Corp.) | 3 (1%) | — |
| other (Peru's economy) | 1 (0%) | — |
| other (Philippine Peso) | 1 (0%) | — |
| other (Philippine peso bonds) | 1 (0%) | — |
| other (Puma) | — | 1 (1%) |
| other (RELX Plc) | 2 (0%) | — |
| other (Rolls-Royce Holdings Plc) | 2 (0%) | — |
| other (SAP) | — | 1 (1%) |
| other (Saudi Arabian equities) | 1 (0%) | — |
| other (Shanghai stock market) | — | 1 (1%) |
| other (Siemens Energy) | — | 1 (1%) |
| other (Silver market) | 2 (0%) | — |
| other (Singapore local stocks) | 1 (0%) | — |
| other (South Africa's rand) | 1 (0%) | — |
| other (South African Rand) | 2 (0%) | — |
| other (South African bonds) | 1 (0%) | — |
| other (South African equity sectors) | 1 (0%) | — |
| other (South African government bonds) | 1 (0%) | — |
| other (South African stocks) | 1 (0%) | — |
| other (South Korea's equity benchmark) | 1 (0%) | — |
| other (South Korean bond market) | 2 (0%) | — |
| other (South Korean equities) | 2 (0%) | — |
| other (South Korean stocks) | 2 (0%) | — |
| other (Soybean market) | 1 (0%) | — |
| other (Soybeans market) | 1 (0%) | — |
| other (Suzano SA shares) | 1 (0%) | — |
| other (Swiss Bond Market) | 1 (0%) | — |
| other (Taiwan stocks) | 1 (0%) | — |
| other (Thailand's stock market and currency) | 1 (0%) | — |
| other (Toronto housing market) | 1 (0%) | — |
| other (Treasury market) | 1 (0%) | — |
| other (Turkey's economic outlook) | 1 (0%) | — |
| other (Turkish bank stocks) | 1 (0%) | — |
| other (UK Stocks) | 1 (0%) | — |
| other (UK bond market) | 2 (0%) | — |
| other (UK bonds) | 2 (0%) | — |
| other (UK construction industry) | 1 (0%) | — |
| other (UK economy) | 1 (0%) | — |
| other (UK housing market) | 1 (0%) | — |
| other (UK market) | 2 (0%) | — |
| other (UK markets) | 3 (1%) | — |
| other (UK property market) | 1 (0%) | — |
| other (US Dollar) | 8 (1%) | — |
| other (US Natural Gas) | 2 (0%) | — |
| other (US energy storage market) | 1 (0%) | — |
| other (US oil market) | 4 (1%) | — |
| other (US soybean futures) | 1 (0%) | — |
| other (US soybean oil market) | 2 (0%) | — |
| other (United Arab Emirates banks) | 1 (0%) | — |
| other (Venezuelan economy) | 1 (0%) | — |
| other (Venezuelan global bonds) | 1 (0%) | — |
| other (Volkswagen Group in China) | — | 1 (1%) |
| other (Walmart's earnings forecast) | 1 (0%) | — |
| other (Yen currency market) | 1 (0%) | — |
| other (Yuan currency market) | 3 (1%) | — |
| other (Yuan vs Indian Rupee) | 1 (0%) | — |
| other (agriculture economy) | 4 (1%) | — |
| other (agriculture machinery market) | 1 (0%) | — |
| other (bond markets) | 1 (0%) | — |
| other (carbon credits market) | 1 (0%) | — |
| other (companies in the physical world like miners, power producers, and industrial firms) | 1 (0%) | — |
| other (copper market) | 4 (1%) | — |
| other (credit markets around software) | 1 (0%) | — |
| other (credit markets) | 2 (0%) | — |
| other (currency market) | 1 (0%) | — |
| other (economic growth) | — | 1 (1%) |
| other (electric-vehicle market) | 1 (0%) | — |
| other (emerging markets) | 1 (0%) | 1 (1%) |
| other (emerging-market ETFs) | 1 (0%) | — |
| other (emerging-market debt) | 1 (0%) | — |
| other (emerging-market equities and currencies) | 1 (0%) | — |
| other (emerging-market equities) | 1 (0%) | — |
| other (emerging-market stocks) | 1 (0%) | — |
| other (global Brent oil market) | 1 (0%) | — |
| other (global smartphone market) | 1 (0%) | — |
| other (gold market) | 1 (0%) | — |
| other (high quality large cap stocks) | 1 (0%) | — |
| other (local debt markets in Mexico) | 1 (0%) | — |
| other (memory chip market) | 2 (0%) | — |
| other (municipal bonds) | 2 (0%) | — |
| other (oil and metals markets) | 1 (0%) | — |
| other (oil market) | 6 (1%) | — |
| other (oil-company stocks) | 1 (0%) | — |
| other (potential IPOs of companies like OpenAI, Anthropic, or SpaceX) | — | 1 (1%) |
| other (precious metals) | 1 (0%) | — |
| other (private credit firms) | 1 (0%) | — |
| other (private credit markets) | 1 (0%) | — |
| other (private credit stocks) | 1 (0%) | — |
| other (private debt market) | 1 (0%) | — |
| other (private markets) | 1 (0%) | — |
| other (real estate market) | — | 2 (2%) |
| other (real estate sector in India) | 1 (0%) | — |
| other (retail sector) | — | 1 (1%) |
| other (robotics sector) | — | 1 (1%) |
| other (smartphone market) | 1 (0%) | — |
| other (soybean oil market) | 3 (1%) | — |
| other (stock market with focus on AI-related stocks) | — | 1 (1%) |
| other (sugar market) | 1 (0%) | — |
| other (trucking market) | 1 (0%) | — |
| technology stocks (Tech) | 44 (8%) | 5 (4%) |
Reciba Pronósticos de Mercado con IA
Siga pronósticos de más de 70 fuentes de noticias en su bandeja de entrada. Resumen diario gratuito con las predicciones de mercado más fiables.
Obtén Información de Mercado con IA Gratis
Recibe pronósticos diarios de tendencias del mercado impulsados por GPT-4. No se requiere tarjeta de crédito.
3 Tendencias de Mercado IA Diarias
Obtén 3 tendencias analizadas gratis cada día
Resumen Diario por Email
Entregado en tu bandeja de entrada a las 9 AM
Métricas de Precisión
Ve cómo funcionan nuestros pronósticos
Preguntas Frecuentes
¿Qué es más fiable: Financial Times o Handelsblatt?▼
Tanto Financial Times (37.4%) como Handelsblatt (38.1%) muestran precisión de pronósticos similar. La mejor opción depende del contexto de mercado específico que le interese.
¿Cómo se calculan estas comparaciones?▼
Extraemos pronósticos de mercado de artículos de noticias usando IA y luego evaluamos cada predicción contra datos reales del mercado. Las fuentes se comparan por precisión general, distribución de sentimiento y rendimiento por contexto de mercado.
¿Qué mercados cubren en común Financial Times y Handelsblatt?▼
Comparten 10 contextos de mercado: Bitcoin, DAX, USA, global markets, other (European stocks), other (Gold market), other (Japan's stock market), other (Japanese stock market), other (emerging markets), technology stocks (Tech). Cada fuente también puede cubrir mercados adicionales de forma independiente.
Nuestra Metodología
Usamos IA para extraer pronósticos de mercado de artículos de noticias y luego evaluamos cada predicción contra datos reales del mercado usando yfinance. Solo las fuentes con más de 3 pronósticos evaluados son clasificadas.