ForexLivevsHandelsblatt
ForexLive (28.4% de precisión) vs Handelsblatt (38.1% de precisión) — comparación detallada de la fiabilidad de pronósticos de mercado.
Handelsblatt es más precisa en general
Basado en 190 y 105 pronósticos evaluados respectivamente
Precisión
Pronósticos Evaluados
Artículos Analizados
Relevancia Promedio
Análisis de sentimiento y sesgo
Qué tan alcistas o bajistas tienden a ser los pronósticos de cada fuente.
Distribución de sentimiento
ForexLive
Handelsblatt
Precisión en mercados compartidos
Comparación de precisión lado a lado para mercados que cubren tanto ForexLive 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 | ForexLive | Handelsblatt |
|---|---|---|
| AUD/USD | 2 (1%) | — |
| AUDUSD | 2 (1%) | — |
| Australia | 7 (2%) | — |
| Australian dollar | 2 (1%) | — |
| Australian economy | 1 (0%) | — |
| Bitcoin | 11 (3%) | 3 (3%) |
| Canada's exports | 1 (0%) | — |
| Canadian dollar | 1 (0%) | — |
| China | 1 (0%) | — |
| DAX | 9 (3%) | 37 (32%) |
| EUR/USD | 1 (0%) | — |
| EURUSD | 3 (1%) | — |
| Ethereum | 6 (2%) | — |
| Euro | 1 (0%) | — |
| European indices | 1 (0%) | — |
| Eurozone | 2 (1%) | — |
| Eurozone economy | 2 (1%) | — |
| GBPUSD | 2 (1%) | — |
| Gold | 2 (1%) | — |
| Japan | 3 (1%) | — |
| Japanese yen (JPY) | 1 (0%) | — |
| Korea | 1 (0%) | — |
| NASDAQ | 1 (0%) | — |
| Nasdaq | 6 (2%) | — |
| Nikkei 225 | 2 (1%) | — |
| UK construction market | 1 (0%) | — |
| UK economy | 1 (0%) | — |
| UK housing market | 1 (0%) | — |
| USA | 72 (21%) | 16 (14%) |
| USD/JPY | 3 (1%) | — |
| USD/JPY currency pair | 1 (0%) | — |
| USDINR | 1 (0%) | — |
| USDJPY | 5 (1%) | — |
| WTI (West Texas Intermediate) crude oil | 1 (0%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | — |
| global markets | 57 (16%) | 12 (10%) |
| oil market | 1 (0%) | — |
| other | 7 (2%) | — |
| other (AUD/USD currency pair) | 2 (1%) | — |
| other (AUDUSD currency pair) | 3 (1%) | — |
| other (Adidas stock) | — | 2 (2%) |
| other (Adidas) | — | 1 (1%) |
| other (Airbnb) | — | 1 (1%) |
| other (Asian markets) | 2 (1%) | 1 (1%) |
| other (Australian business conditions and confidence) | 1 (0%) | — |
| other (BOJ interest rate decision) | 1 (0%) | — |
| other (Bank of Japan monetary policy) | 1 (0%) | — |
| other (Beiersdorf) | — | 1 (1%) |
| other (Brent crude oil) | 1 (0%) | — |
| other (China's local and regional government fiscal policy) | 1 (0%) | — |
| other (Commerzbank) | — | 1 (1%) |
| other (Coreweave) | — | 1 (1%) |
| other (Covestro) | — | 2 (2%) |
| other (Crude Oil) | 3 (1%) | — |
| other (Crude oil futures) | 1 (0%) | — |
| other (Crude oil market) | 3 (1%) | — |
| other (EUR/CHF currency pair) | 1 (0%) | — |
| other (EUR/USD currency pair) | 2 (1%) | — |
| other (EUR/USD) | 2 (1%) | — |
| other (EURUSD currency pair) | 3 (1%) | — |
| other (EURUSD, USDJPY, GBPUSD) | 1 (0%) | — |
| other (Ebay) | — | 1 (1%) |
| other (Enel stock) | — | 1 (1%) |
| other (European construction industry) | — | 2 (2%) |
| other (European stocks) | — | 1 (1%) |
| other (French manufacturing sector) | 1 (0%) | — |
| other (GBPUSD currency pair) | 2 (1%) | — |
| other (German economy) | — | 2 (2%) |
| other (Germany's economy) | — | 1 (1%) |
| other (Gold futures) | 1 (0%) | — |
| other (Gold market) | 8 (2%) | 1 (1%) |
| other (India's financial markets) | — | 1 (1%) |
| other (Italy's manufacturing sector) | 1 (0%) | — |
| other (Italy's private sector) | 1 (0%) | — |
| other (Japan's economic outlook due to currency and inflation concerns) | 1 (0%) | — |
| other (Japan's stock market) | — | 1 (1%) |
| other (Japanese interest rate policy) | 1 (0%) | — |
| other (Japanese markets) | — | 2 (2%) |
| other (Japanese stock market) | — | 1 (1%) |
| other (Japanese stocks) | 1 (0%) | — |
| other (Kering/Gucci) | — | 1 (1%) |
| other (Knorr-Bremse) | — | 1 (1%) |
| other (Mercedes stock) | — | 1 (1%) |
| other (Merck stock) | — | 1 (1%) |
| other (NVDA stock) | 1 (0%) | — |
| other (NZD/USD currency pair) | 1 (0%) | — |
| other (NZDUSD currency pair) | 1 (0%) | — |
| other (Novo Nordisk stock) | — | 1 (1%) |
| other (Oil market) | 1 (0%) | — |
| other (Puma) | — | 1 (1%) |
| other (Reserve Bank of Australia policy and interest rates) | 1 (0%) | — |
| other (SAP) | — | 1 (1%) |
| other (Shanghai stock market) | — | 1 (1%) |
| other (Siemens Energy) | — | 1 (1%) |
| other (Spanish private sector economy) | 1 (0%) | — |
| other (UK housing market) | 2 (1%) | — |
| other (UK manufacturing sector) | 1 (0%) | — |
| other (US 10-year bond yields) | 1 (0%) | — |
| other (US 10-year yields) | 1 (0%) | — |
| other (USD/CHF currency pair) | 2 (1%) | — |
| other (USD/JPY currency pair) | 2 (1%) | — |
| other (USDCAD currency pair) | 7 (2%) | — |
| other (USDCHF currency pair) | 5 (1%) | — |
| other (USDINR pair) | 2 (1%) | — |
| other (USDJPY currency pair) | 2 (1%) | — |
| other (Volkswagen Group in China) | — | 1 (1%) |
| other (WTI crude oil market) | 1 (0%) | — |
| other (crude oil market) | 13 (4%) | — |
| other (economic growth) | — | 1 (1%) |
| other (emerging markets) | — | 1 (1%) |
| other (energy markets) | 1 (0%) | — |
| other (gold market) | 4 (1%) | — |
| other (major currency pairs including EURUSD, USDJPY, GBPUSD) | 1 (0%) | — |
| other (oil market) | 12 (3%) | — |
| other (oil prices) | 1 (0%) | — |
| other (potential IPOs of companies like OpenAI, Anthropic, or SpaceX) | — | 1 (1%) |
| other (private equity stocks) | 1 (0%) | — |
| other (real estate market) | — | 2 (2%) |
| other (retail sector) | — | 1 (1%) |
| other (robotics sector) | — | 1 (1%) |
| other (silver and precious metals) | 1 (0%) | — |
| other (silver market) | 1 (0%) | — |
| other (stock market with focus on AI-related stocks) | — | 1 (1%) |
| private credit market | 1 (0%) | — |
| technology stocks (Tech) | 11 (3%) | 5 (4%) |
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Métricas de Precisión
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Preguntas Frecuentes
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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.