$1.640
-0.039 (-2.38%)Al cierre
Predicciones de precio
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Predicción y previsión de OSTX por análisis de gráficos similares
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 $1.63 (-0.31%). The 1-week path is $1.65 (+0.43%). 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 OS Therapies Inc?
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 cerró en $1.64 el Friday, tras bajar -2.38%
OS Therapies Inc (OSTX) last closed at $1.64, losing -2.38%. These facts feed the 1-day and 1-week OSTX price prediction above.
Factores de la previsión
Los factores de la previsión de OS Therapies Inc (OSTX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de OSTX, ordenadas por similitud.
Análisis de estacionalidad de OSTX
Historically the probability of a positive August return for OSTX is 65.08%. August offers the highest probability of a positive month at 65.08%, 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.