$8.630
+0.122 (+1.41%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de YMM por análisis de gráficos similares
Alphio's YMM stock price prediction model matches the current Full Truck Alliance Co Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.67 (+0.44%). The 1-week path is $8.74 (+1.33%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
¿Debería comprar acciones de Full Truck Alliance Co Ltd?
Full Truck Alliance Co Ltd (YMM) is a good buy right now, trading at $8.81 with a forward P/E of 19.49, which is low compared to its growth potential. The company reported a strong Q2 2026 earnings growth with a 4.4% year-over-year increase in revenues to RMB 3.38 billion and a significant 33.1% increase in transaction service revenues. The main risk is the recent 21.69% year-to-date decline in stock price, which reflects market volatility and potential regulatory concerns.
YMM cerró en $8.63 el Wednesday, tras subir +1.41%
Full Truck Alliance Co Ltd (YMM) last closed at $8.63, gaining +1.41%. These facts feed the 1-day and 1-week YMM price prediction above.
Factores de la previsión
Los factores de la previsión de Full Truck Alliance Co Ltd (YMM) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de YMM, ordenadas por similitud.
Análisis de estacionalidad de YMM
Historically the probability of a positive September return for YMM is 93.18%. October offers the highest probability of a positive month at 100.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.