$2.830
-0.078 (-2.75%)Al cierre
Predicciones de precio
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Predicción y previsión de NSRX por análisis de gráficos similares
Alphio's NSRX stock price prediction model matches the current Nasus Pharma Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.84 (+0.35%). The 1-week path is $2.83 (+0.03%). 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 Nasus Pharma Ltd?
Nasus Pharma Ltd is a good buy right now due to its recent FDA clearance for NS002, which positions the company for potential growth in the allergy medication market. The stock is currently priced at $2.83, significantly below its 52-week high of $9.50, indicating a potential upside of approximately 147%. Additionally, the RSI is at 23.426, suggesting that the stock is oversold and may be due for a rebound. However, investors should be cautious of the company's ongoing net losses, which reached $5.9 million in 2025 and are projected to continue, posing a risk to short-term performance.
NSRX cerró en $2.83 el Friday, tras bajar -2.75%
Nasus Pharma Ltd (NSRX) last closed at $2.8299999, losing -2.75%. These facts feed the 1-day and 1-week NSRX price prediction above.
Factores de la previsión
Los factores de la previsión de Nasus Pharma Ltd (NSRX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de NSRX, ordenadas por similitud.
Análisis de estacionalidad de NSRX
Historically the probability of a positive November return for NSRX is 0.00%. August offers the highest probability of a positive month at 34.29%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.