$4.760
-0.533 (-11.19%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
PASW-Prognose durch Analyse ähnlicher Charts
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 $4.82 (+1.24%). The 1-week path is $4.76 (-0.04%). 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.
Soll ich Ping An Biomedical Co Ltd-Aktien kaufen?
Ping An Biomedical Co Ltd (PASW) appears to be a good buy right now due to its recent strategic partnership aimed at expanding market reach and a projected significant price increase of 486.99% based on historical patterns. The stock currently trades at $4.76, which is significantly below its 200-day simple moving average of $6.301, indicating potential for recovery. However, the main risk is the recent 11.19% drop in price, which highlights volatility and investor uncertainty.
PASW schloss am Friday bei $4.76, nachdem der Kurs -11.19% fallen
Ping An Biomedical Co Ltd (PASW) last closed at $4.76, losing -11.19%. These facts feed the 1-day and 1-week PASW price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Ping An Biomedical Co Ltd (PASW) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf PASW am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für 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.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.