$82.040
-0.090 (-0.11%)Al cierre
Predicciones de precio
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Predicción y previsión de BGSI por análisis de gráficos similares
Alphio's BGSI stock price prediction model matches the current Boyd Group Services Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $82.97 (-0.19%). The 1-week path is $85.38 (+2.71%). 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 Boyd Group Services Inc?
Boyd Group Services Inc is a good buy right now due to its recent strong financial performance, including a 29.9% sales increase in Q2 2026, reaching $1.013 billion, and a forward P/E ratio of 16.72, which is attractive compared to its current price of $81.64. Additionally, the company has a gross margin of 38.30%, indicating solid profitability. The main risk is the year-to-date change of -48.29%, reflecting significant volatility, but the positive catalysts suggest potential for recovery.
BGSI cerró en $82.04 el Wednesday, tras bajar -0.11%
Boyd Group Services Inc (BGSI) last closed at $83.1299973, gaining +1.33%. These facts feed the 1-day and 1-week BGSI price prediction above.
Factores de la previsión
Los factores de la previsión de Boyd Group Services Inc (BGSI) 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 BGSI, ordenadas por similitud.
Análisis de estacionalidad de BGSI
Historically the probability of a positive October return for BGSI is 4.35%. February offers the highest probability of a positive month at 100.00%, while April 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.