Bangkok Post BusinessvsInvestors Business Daily
Bangkok Post Business (32.6 % de acierto) vs Investors Business Daily (37.0 % 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 307 y 600 titulares comprobados
Posición #17 de — fuentes
Posición #5 de — fuentes
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
Bangkok Post Business
Investors Business Daily
Cobertura de contextos de mercado
| Acierto por mercado | Bangkok Post Business | Investors Business Daily |
|---|---|---|
| AMD | — | 1 (0%) |
| Accenture | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Anthropic IPO | — | 1 (0%) |
| Apple | — | 1 (0%) |
| Argenx | — | 1 (0%) |
| Asian stocks | 27 (13%) | — |
| Automotive/EV import policy | 1 (1%) | — |
| Biohaven | — | 1 (0%) |
| Biotech | — | 2 (1%) |
| Bitcoin | 7 (3%) | 11 (3%) |
| Bloom Energy | — | 1 (0%) |
| Boeing | — | 2 (1%) |
| China Economy | 1 (1%) | — |
| Chinese Robotics | — | 1 (0%) |
| Cisco | — | 1 (0%) |
| Clear Secure, a single | — | 1 (0%) |
| Coinbase | — | 2 (1%) |
| CrowdStrike | — | 1 (0%) |
| DAX | 1 (1%) | 3 (1%) |
| Dell Technologies | — | 1 (0%) |
| DoorDash | — | 2 (1%) |
| DraftKings | — | 1 (0%) |
| Electronics & Tourism | 1 (1%) | — |
| Eli Lilly | — | 1 (0%) |
| European stocks | 4 (2%) | 2 (1%) |
| Faeth Therapeutics | — | 1 (0%) |
| GE Vernova | — | 1 (0%) |
| Gold | 23 (11%) | 2 (1%) |
| Grail Inc | — | 1 (0%) |
| HPE | — | 1 (0%) |
| Harmony Biosciences | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| Hospital | — | 1 (0%) |
| Intuit | — | 1 (0%) |
| Intuitive Surgical | — | 1 (0%) |
| Ionis Pharma | — | 1 (0%) |
| Japanese stocks | 4 (2%) | — |
| Junk Bond ETF | — | 1 (0%) |
| Lockheed Martin | — | 1 (0%) |
| Medtronic | — | 1 (0%) |
| Micron Technology | — | 1 (0%) |
| Microsoft | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | — | 25 (7%) |
| Natural Gas | — | 1 (0%) |
| Netflix | — | 5 (1%) |
| Nike | 1 (1%) | — |
| Nordson Corp | — | 1 (0%) |
| Nvidia | — | 1 (0%) |
| Oil | 31 (15%) | 14 (4%) |
| Okta / cybersecurity | — | 1 (0%) |
| Opera Software | — | 1 (0%) |
| Oracle | — | 1 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (1%) |
| Pfizer | — | 1 (0%) |
| Retail | — | 1 (0%) |
| Robinhood | — | 5 (1%) |
| Rocket Lab | — | 2 (1%) |
| Rubrik | — | 1 (0%) |
| Samsara | — | 1 (0%) |
| Seagate Technology | — | 1 (0%) |
| Semtech | — | 1 (0%) |
| SentinelOne | — | 1 (0%) |
| SharkNinja | — | 1 (0%) |
| SoFi Technologies | — | 1 (0%) |
| SpaceX | — | 2 (1%) |
| Target Corporation | — | 1 (0%) |
| Telecom | — | 1 (0%) |
| Tesla | — | 10 (3%) |
| Teva Pharma | — | 1 (0%) |
| Thai | 8 (4%) | — |
| Thai Airways | 2 (1%) | — |
| Thai Baht | 4 (2%) | — |
| Thai GDP growth outlook | 1 (1%) | — |
| Thai banking sector | 1 (1%) | — |
| Thai banks | 1 (1%) | — |
| Thai bond | 1 (1%) | — |
| Thai bonds | 1 (1%) | — |
| Thai brokerage industry | 1 (1%) | — |
| Thai corporate bond | 1 (1%) | — |
| Thai domestic vehicle sales | 1 (1%) | — |
| Thai economic growth | 1 (1%) | — |
| Thai economy | 1 (1%) | — |
| Thai economy GDP growth | 1 (1%) | — |
| Thai exports | 1 (1%) | — |
| Thai insurance industry | 1 (1%) | — |
| Thai macroeconomics | 1 (1%) | — |
| Thai restaurant industry | 1 (1%) | — |
| Thai retail sector | 1 (1%) | — |
| Thai rice exports | 1 (1%) | — |
| Thai stock | 6 (3%) | — |
| Thai stock exchange, SET | 1 (1%) | — |
| Thai tourism | 2 (1%) | — |
| Thai tourism revenue | 1 (1%) | — |
| Thai tourism sector | 1 (1%) | — |
| Thailand IT | 1 (1%) | — |
| Thailand SET | 1 (1%) | — |
| Thailand auto sales | 1 (1%) | — |
| Thailand automotive | 1 (1%) | — |
| Thailand banking sector | 1 (1%) | — |
| Thailand digital infrastructure | 1 (1%) | — |
| Thailand e-commerce | 1 (1%) | — |
| Thailand inbound tourism | 1 (1%) | — |
| Thailand luxury retail | 1 (1%) | — |
| Thailand national economy | 1 (1%) | — |
| Thailand sovereign credit rating | 1 (1%) | — |
| Thailand stock | 1 (1%) | — |
| Thailand tourism | 1 (1%) | — |
| Thailand tourism industry | 1 (1%) | — |
| Thailand tourism revenue | 1 (1%) | — |
| Thailand tourism sector | 2 (1%) | — |
| UK markets | 3 (1%) | — |
| USA | 11 (5%) | 114 (31%) |
| USD/JPY | 1 (1%) | — |
| Uber | — | 1 (0%) |
| UniQure | — | 1 (0%) |
| Vera | — | 1 (0%) |
| Viatris | — | 1 (0%) |
| Victoria's Secret | — | 1 (0%) |
| Vietnamese | 1 (1%) | — |
| Workday | — | 1 (0%) |
| Zoom | — | 1 (0%) |
| cell tower operator | — | 1 (0%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| consumer finance | — | 1 (0%) |
| cryptocurrencies (Crypto) | 3 (1%) | 4 (1%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| global markets | 17 (8%) | 4 (1%) |
| hard drive | — | 1 (0%) |
| insurance | 1 (1%) | — |
| quantum computing | — | 1 (0%) |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 96 (26%) |
| uranium | — | 1 (0%) |
| used car | — | 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: Bangkok Post Business o Investors Business Daily?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común Bangkok Post Business y Investors Business Daily?▼
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.