$42.750
-1.441 (-3.37%)Al cierre
Predicciones de precio
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Predicción y previsión de PACS por análisis de gráficos similares
Alphio's PACS stock price prediction model matches the current Pacs Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $42.99 (+0.55%). The 1-week path is $41.63 (-2.63%). 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 Pacs Group Inc?
Pacs Group Inc is a good buy right now due to its strong recent earnings report, which showed a revenue increase to $1.43 billion, a 9.1% year-over-year growth, and an adjusted EBITDA of $166.8 million, reflecting a 25% improvement. Additionally, the forward P/E ratio of 17.92 suggests the stock is reasonably valued compared to its growth potential, and analysts have set a price target as high as $62, indicating a potential upside of 45% from the current price of $42.75. The main risk is the RSI of 27.52, indicating the stock is currently oversold, which could lead to further short-term volatility.
PACS cerró en $42.75 el Friday, tras bajar -3.37%
Pacs Group Inc (PACS) last closed at $42.75, losing -3.37%. These facts feed the 1-day and 1-week PACS price prediction above.
Factores de la previsión
Los factores de la previsión de Pacs Group Inc (PACS) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de PACS, ordenadas por similitud.
Análisis de estacionalidad de PACS
Historically the probability of a positive August return for PACS is 66.67%. July offers the highest probability of a positive month at 72.73%, while March 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.