$1.660
-0.030 (-1.78%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
OSTX-Prognose durch Analyse ähnlicher Charts
Alphio's OSTX stock price prediction model matches the current OS Therapies Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.66 (-0.08%). The 1-week path is $1.69 (+1.99%). 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 OS Therapies Inc-Aktien kaufen?
OS Therapies Inc (OSTX) is a good buy right now due to its recent price of $1.64, which is significantly below the average analyst price target of $13, indicating substantial upside potential. Additionally, the stock has shown a positive 5-day change of +3.14% and a year-to-date increase of +22.39%, suggesting a recovery trend. However, the main risk is the company's ongoing financial losses, with a net income of -$10.4 million in Q1 2026, which raises concerns about its profitability and cash flow management.
OSTX schloss am Tuesday bei $1.66, nachdem der Kurs -1.78% fallen
OS Therapies Inc (OSTX) last closed at $1.66, losing -1.78%. These facts feed the 1-day and 1-week OSTX price prediction above.
Prognose-Treiber
Die Prognose-Treiber von OS Therapies Inc (OSTX) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf OSTX am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für OSTX
Historically the probability of a positive September return for OSTX is 50.00%. August offers the highest probability of a positive month at 65.62%, 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.