$1.450
+0.085 (+5.84%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de UWMC por análisis de gráficos similares
Alphio's UWMC stock price prediction model matches the current UWM Holdings Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.46 (+0.09%). The 1-week path is $1.43 (-2.35%). 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 UWM Holdings Corp?
UWM Holdings Corp is not a good buy right now due to significant financial losses and ongoing legal issues. The company reported a staggering loss of $451.9 million in Q2 2026, which is a major concern for potential investors. Additionally, the stock has dropped 34% following negative news about a hedge loss, indicating severe volatility and risk. The current price of $1.49 is well below the analyst price target of $2, suggesting limited upside potential.
UWMC cerró en $1.45 el Wednesday, tras subir +5.84%
UWM Holdings Corp (UWMC) last closed at $1.46, gaining +0.69%. These facts feed the 1-day and 1-week UWMC price prediction above.
Factores de la previsión
Los factores de la previsión de UWM Holdings Corp (UWMC) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de UWMC, ordenadas por similitud.
Análisis de estacionalidad de UWMC
Historically the probability of a positive September return for UWMC is 93.18%. September offers the highest probability of a positive month at 93.18%, 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.