$5.420
+0.144 (+2.65%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de STLA por análisis de gráficos similares
Alphio's STLA stock price prediction model matches the current Stellantis NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.58 (+2.89%). The 1-week path is $5.59 (+3.14%). 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 Stellantis NV?
Stellantis is not a strong buy at the moment due to its current price of $5.42, which is significantly below its 200-day simple moving average of $7.94. The forward P/E ratio of 12.99 suggests some value, but the recent downgrades by analysts and a year-to-date change of -52.54% indicate considerable risks. The main risk is the company's negative earnings surprise of -65.85% in its last earnings report, which raises concerns about its profitability moving forward.
STLA cerró en $5.42 el Friday, tras subir +2.65%
Stellantis NV (STLA) last closed at $5.42, gaining +2.65%. These facts feed the 1-day and 1-week STLA price prediction above.
Factores de la previsión
Los factores de la previsión de Stellantis NV (STLA) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de STLA, ordenadas por similitud.
Análisis de estacionalidad de STLA
Historically the probability of a positive August return for STLA is 0.00%. February offers the highest probability of a positive month at 56.90%, while June 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.