$13.500
+0.030 (+0.22%)Al cierre
Predicciones de precio
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Predicción y previsión de VIPS por análisis de gráficos similares
Alphio's VIPS stock price prediction model matches the current Vipshop Holdings Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $13.12 (-2.83%). The 1-week path is $13.14 (-2.68%). 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 Vipshop Holdings Ltd?
Vipshop Holdings Ltd (VIPS) is not a strong buy right now. The current price is $13.50, and the stock has a low RSI of 21.75, indicating it is oversold. However, the forward P/E ratio is 5.45, suggesting it may be undervalued. The recent downgrade by Nomura to a target of $14 highlights concerns about future earnings growth, which is a significant risk.
VIPS cerró en $13.50 el Friday, tras subir +0.22%
Vipshop Holdings Ltd (VIPS) last closed at $13.5, gaining +0.22%. These facts feed the 1-day and 1-week VIPS price prediction above.
Consenso de analistas
Vipshop Holdings Ltd (VIPS): 16 comprar, 9 mantener, 2 vender. Perspectiva: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de Vipshop Holdings Ltd (VIPS) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de VIPS, ordenadas por similitud.
Análisis de estacionalidad de VIPS
Historically the probability of a positive August return for VIPS is 33.33%. October offers the highest probability of a positive month at 58.70%, while April 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.