$5.360
+2.447 (+45.65%)Al cierre
Predicciones de precio
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Predicción y previsión de PASW por análisis de gráficos similares
Alphio's PASW stock price prediction model matches the current Ping An Biomedical Co Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.15 (-3.93%). The 1-week path is $5.10 (-4.93%). 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 Ping An Biomedical Co Ltd?
Ping An Biomedical Co Ltd (PASW) is currently not a good buy due to its recent performance and technical indicators. The stock has seen a year-to-date change of -76.66% and a 5-day change of -1.48%, indicating a downward trend. Additionally, the RSI is at 44.81, suggesting it is nearing oversold territory but not yet a strong buy signal. The forward P/E ratio is 0, indicating a lack of earnings expectations, which is concerning for long-term investors. The main risk is the significant decline in stock value, with a 1-year change of -84.48%.
PASW cerró en $5.36 el Thursday, tras subir +45.65%
Ping An Biomedical Co Ltd (PASW) last closed at $5.36, gaining +45.65%. These facts feed the 1-day and 1-week PASW price prediction above.
Factores de la previsión
Los factores de la previsión de Ping An Biomedical Co Ltd (PASW) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de PASW, ordenadas por similitud.
Análisis de estacionalidad de PASW
Historically the probability of a positive October return for PASW is 0.00%. January offers the highest probability of a positive month at 5.00%, 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.