$0.908
-0.092 (-10.09%)Al cierre
Predicciones de precio
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Predicción y previsión de NBP por análisis de gráficos similares
Alphio's NBP stock price prediction model matches the current NovaBridge Biosciences tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.92 (+0.87%). The 1-week path is $0.92 (+1.38%). 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.
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Given the current price of $1.07 and a 52-week high of $5.19, NBP has significant downside risk. The RSI is at 20.514, indicating the stock is oversold but also reflects a lack of buying momentum. The company reported a net loss of $37.9 million for the first half of 2026, which is a substantial increase from the previous year's loss. Additionally, the stock has a year-to-date change of -74.94%, suggesting a severe decline in value. While there are positive catalysts such as FDA Fast Track designation for Givastomig, the financial performance and high losses pose significant risks, making it a sell at this time.
NBP cerró en $0.91 el Thursday, tras bajar -10.09%
NovaBridge Biosciences (NBP) last closed at $0.9081, losing -10.09%. These facts feed the 1-day and 1-week NBP price prediction above.
Factores de la previsión
Los factores de la previsión de NovaBridge Biosciences (NBP) 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 NBP, ordenadas por similitud.
Análisis de estacionalidad de NBP
Historically the probability of a positive November return for NBP is 4.35%. 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.
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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.