$72.840
+1.493 (+2.05%)Al cierre
Predicciones de precio
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Predicción y previsión de MRX por análisis de gráficos similares
Alphio's MRX stock price prediction model matches the current Marex UK Holdings Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $72.59 (-0.34%). The 1-week path is $73.66 (+1.13%). 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 Marex UK Holdings Ltd?
Marex Group PLC (MRX) appears to be a good buy right now due to its strong recent performance and positive analyst outlook. The current price is $72.84, which is below the average analyst price target of $82 to $90, suggesting significant upside potential. Additionally, the company has shown impressive growth with a year-to-date change of +91.99% and a one-year change of +106.00%. However, a risk to consider is the high debt-to-equity ratio of 1255.38%, which indicates potential financial leverage concerns.
MRX cerró en $72.84 el Friday, tras subir +2.05%
Marex UK Holdings Ltd (MRX) last closed at $72.84, gaining +2.05%. These facts feed the 1-day and 1-week MRX price prediction above.
Factores de la previsión
Los factores de la previsión de Marex UK Holdings Ltd (MRX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de MRX, ordenadas por similitud.
Análisis de estacionalidad de MRX
Historically the probability of a positive August return for MRX is 98.41%. February offers the highest probability of a positive month at 100.00%, while October 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.