$3,863.580
+90.408 (+2.34%)Al cierre
Predicciones de precio
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Predicción y previsión de SEB por análisis de gráficos similares
Alphio's SEB stock price prediction model matches the current Seaboard Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3879.57 (-0.15%). The 1-week path is $3889.29 (+0.10%). 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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Seaboard Corp (SEB) is currently not a strong buy due to its low RSI of 35.312, indicating potential oversold conditions, and a forward P/E ratio of 11.9332, which is relatively high compared to its historical performance. The stock is down 11.32% year-to-date, suggesting it has faced significant selling pressure, yet it has shown a 14.16% increase over the past year, indicating some resilience. However, the recent decline in gross margin to 7.56% in Q2 2026 raises concerns about profitability. The main risk is the declining trend in revenue growth, with a 20-day change of -8.19%.
SEB cerró en $3,863.58 el Thursday, tras subir +2.34%
Seaboard Corp (SEB) last closed at $3885.4, gaining +0.56%. These facts feed the 1-day and 1-week SEB price prediction above.
Factores de la previsión
Los factores de la previsión de Seaboard Corp (SEB) 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 SEB, ordenadas por similitud.
Análisis de estacionalidad de SEB
Historically the probability of a positive October return for SEB is 36.51%. January offers the highest probability of a positive month at 86.89%, while September 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.