$3.700
-0.010 (-0.27%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
SABS-Prognose durch Analyse ähnlicher Charts
Alphio's SABS stock price prediction model matches the current SAB Biotherapeutics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.78 (+2.06%). The 1-week path is $3.76 (+1.67%). 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 SAB Biotherapeutics Inc-Aktien kaufen?
SAB Biotherapeutics Inc is a good buy right now due to its current price of $3.79, which is significantly lower than the average analyst price target of $12.75, suggesting a potential upside of over 235%. Additionally, the company has a strong cash position of $217.6 million, providing operational runway through 2028 despite recent losses. However, the main risk is the net loss of $22.49 million reported in Q2 2026, which highlights ongoing financial challenges.
SABS schloss am Tuesday bei $3.70, nachdem der Kurs -0.27% fallen
SAB Biotherapeutics Inc (SABS) last closed at $3.7, losing -0.27%. These facts feed the 1-day and 1-week SABS price prediction above.
Prognose-Treiber
Die Prognose-Treiber von SAB Biotherapeutics Inc (SABS) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf SABS am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für SABS
Historically the probability of a positive September return for SABS is 0.00%. December offers the highest probability of a positive month at 37.21%, while September 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.