$27.125
+0.125 (+0.46%)Al cierre
Predicciones de precio
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Predicción y previsión de RGS por análisis de gráficos similares
Alphio's RGS stock price prediction model matches the current Regis Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $27.20 (+0.26%). The 1-week path is $26.88 (-0.91%). 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 Regis Corp?
Regis Corp (RGS) is a good buy right now due to its recent price of $27.12, which is significantly below the analyst target of $42, indicating a potential upside of 55%. Additionally, the stock has shown a solid 1-year change of +22.68%, reflecting strong growth momentum. However, the company has a high forward P/E ratio of 31.15, indicating that while growth is expected, it comes with elevated valuation risks.
RGS cerró en $27.13 el Friday, tras subir +0.46%
Regis Corp (RGS) last closed at $27.125, gaining +0.46%. These facts feed the 1-day and 1-week RGS price prediction above.
Consenso de analistas
Regis Corp (RGS): 1 comprar, 0 mantener, 0 vender. Perspectiva: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de Regis Corp (RGS) 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 RGS, ordenadas por similitud.
Análisis de estacionalidad de RGS
Historically the probability of a positive August return for RGS is 63.49%. October offers the highest probability of a positive month at 100.00%, 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.