$1.700
-0.203 (-11.92%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de MOGU por análisis de gráficos similares
Alphio's MOGU stock price prediction model matches the current Mogu Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.65 (-3.02%). The 1-week path is $1.65 (-2.73%). 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 Mogu Inc?
Mogu Inc. is not a good buy right now due to its significant financial struggles and declining performance. The stock has a current price of $1.70, which is 23.4% of its 52-week range, indicating it is near its low. Additionally, the company's gross margin has decreased to 18.62% from 0% year-over-year, while its net income has worsened, showing a loss of 24.3 million CNY in the latest quarter. These factors suggest ongoing financial instability and high risk for investors.
MOGU cerró en $1.70 el Friday, tras bajar -11.92%
Mogu Inc (MOGU) last closed at $1.7, losing -11.92%. These facts feed the 1-day and 1-week MOGU price prediction above.
Factores de la previsión
Los factores de la previsión de Mogu Inc (MOGU) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de MOGU, ordenadas por similitud.
Análisis de estacionalidad de MOGU
Historically the probability of a positive November return for MOGU is 88.64%. December offers the highest probability of a positive month at 95.35%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.