$29.360
-0.091 (-0.31%)Al cierre
Predicciones de precio
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Predicción y previsión de NP por análisis de gráficos similares
Alphio's NP stock price prediction model matches the current Neptune Insurance Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $28.68 (-2.33%). The 1-week path is $29.10 (-0.89%). 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 Neptune Insurance Holdings Inc?
Neptune Insurance Holdings Inc. is a good buy right now due to its recent strong earnings performance, with Q2 revenue of $55.87 million representing a 32.8% year-over-year increase. Additionally, the stock has a current price of $29.36, and analysts have set a price target of $33, indicating a potential upside of approximately 12%. The RSI is at 65.48, suggesting bullish momentum, although it is nearing overbought territory. The main risk is the forward P/E ratio of 41.32, indicating high expectations for future growth that may not be met.
NP cerró en $29.36 el Friday, tras bajar -0.31%
Neptune Insurance Holdings Inc (NP) last closed at $29.36, losing -0.31%. These facts feed the 1-day and 1-week NP price prediction above.
Factores de la previsión
Los factores de la previsión de Neptune Insurance Holdings Inc (NP) 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 NP, ordenadas por similitud.
Análisis de estacionalidad de NP
Historically the probability of a positive October return for NP is 88.57%. July offers the highest probability of a positive month at 100.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.