Bangkok Post BusinessvsBeInCrypto
Bangkok Post Business (32.6 % de acierto) vs BeInCrypto (38.2 % 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 3020 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
Bangkok Post Business
BeInCrypto
Cobertura de contextos de mercado
| Acierto por mercado | Bangkok Post Business | BeInCrypto |
|---|---|---|
| AMC/Robinhood tokenized | — | 1 (0%) |
| ARKM Token | — | 1 (0%) |
| Alphabet | — | 1 (0%) |
| Amazon | — | 1 (0%) |
| Apple | — | 1 (0%) |
| Arbitrum | — | 1 (0%) |
| Argentine Peso | — | 1 (0%) |
| Asian stocks | 27 (13%) | 20 (1%) |
| Australian stocks | — | 3 (0%) |
| Automotive/EV import policy | 1 (1%) | — |
| Avalanche | — | 1 (0%) |
| BLUR Token | — | 1 (0%) |
| BNB | — | 3 (0%) |
| Balancer | — | 1 (0%) |
| Banking & Stablecoins | — | 1 (0%) |
| Berkshire Hathaway | — | 1 (0%) |
| Bitcoin | 7 (3%) | 441 (30%) |
| Broadcom | — | 1 (0%) |
| Cardano | — | 26 (2%) |
| China Economy | 1 (1%) | — |
| Circle | — | 1 (0%) |
| Circle Arc blockchain | — | 1 (0%) |
| Coinbase | — | 1 (0%) |
| Commodities vs | — | 1 (0%) |
| Copper | — | 2 (0%) |
| CoreWeave | — | 1 (0%) |
| Crocs | — | 1 (0%) |
| DAX | 1 (1%) | 1 (0%) |
| Dell Technologies | — | 2 (0%) |
| Dogecoin | — | 1 (0%) |
| Electronics & Tourism | 1 (1%) | — |
| Ethereum | — | 95 (7%) |
| European stocks | 4 (2%) | 5 (0%) |
| GBP/USD | — | 1 (0%) |
| Getty Images | — | 1 (0%) |
| Gold | 23 (11%) | 58 (4%) |
| Goldman Sachs | — | 1 (0%) |
| Healthcare | — | 1 (0%) |
| Home improvement sector | 1 (1%) | — |
| Hyperliquid | — | 2 (0%) |
| ICP | — | 1 (0%) |
| Indian stocks | — | 7 (1%) |
| Japanese stocks | 4 (2%) | 13 (1%) |
| Korean | — | 1 (0%) |
| Korean Tech IPO | — | 1 (0%) |
| Korean Won | — | 1 (0%) |
| Korean bond | — | 1 (0%) |
| Korean markets | — | 1 (0%) |
| Meta | — | 1 (0%) |
| MicroStrategy | — | 1 (0%) |
| Microsoft | — | 1 (0%) |
| Monero | — | 1 (0%) |
| NASDAQ | — | 12 (1%) |
| Netflix | — | 1 (0%) |
| Nike | 1 (1%) | 1 (0%) |
| Nvidia | — | 1 (0%) |
| Oil | 31 (15%) | 66 (5%) |
| Palantir | — | 1 (0%) |
| Polkadot | — | 1 (0%) |
| Quant | — | 1 (0%) |
| Ralph Lauren apparel | — | 1 (0%) |
| SK Hynix | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Samsung Electronics | — | 1 (0%) |
| Securitize | — | 1 (0%) |
| Shipping/Tanker ETFs | — | 1 (0%) |
| Silver | — | 19 (1%) |
| Solana | — | 50 (3%) |
| SpaceX | — | 2 (0%) |
| Starknet | — | 1 (0%) |
| TRON | — | 1 (0%) |
| Tesla | — | 3 (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%) | — |
| Tokenization | — | 1 (0%) |
| Tron | — | 1 (0%) |
| UK markets | 3 (1%) | 5 (0%) |
| UNI | — | 1 (0%) |
| US Dollar Index | — | 1 (0%) |
| US Interest Rates | — | 1 (0%) |
| US government borrowing costs | — | 1 (0%) |
| USA | 11 (5%) | 84 (6%) |
| USD/CNY | — | 1 (0%) |
| USD/JPY | 1 (1%) | 7 (1%) |
| USDT | — | 1 (0%) |
| Uniswap | — | 1 (0%) |
| Vietnamese | 1 (1%) | — |
| XRP | — | 95 (7%) |
| Zcash | — | 3 (0%) |
| bank | — | 1 (0%) |
| bond yields | — | 1 (0%) |
| bonds | — | 1 (0%) |
| compact digital cameras | 1 (1%) | — |
| computer hardware | 1 (1%) | — |
| consumer | — | 1 (0%) |
| cryptocurrencies | — | 1 (0%) |
| cryptocurrencies (Crypto) | 3 (1%) | 226 (15%) |
| electricity | 1 (1%) | — |
| ethanol | 1 (1%) | — |
| five Goldman Sachs-rated | — | 1 (0%) |
| global markets | 17 (8%) | 34 (2%) |
| insurance | 1 (1%) | — |
| road freight transport rates | 1 (1%) | — |
| technology stocks (Tech) | 8 (4%) | 121 (8%) |
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 BeInCrypto?▼
¿Cómo se calculan estas comparaciones?▼
¿Qué mercados cubren en común Bangkok Post Business y BeInCrypto?▼
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.