$10.140
-0.005 (-0.05%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de EVOX por análisis de gráficos similares
Alphio's EVOX stock price prediction model matches the current Evolution Global Acquisition Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.22 (+0.78%). The 1-week path is $10.32 (+1.73%). 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.
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Evolution Global Acquisition Corp (EVOX) is currently trading at $10.15, which is 95.0% of its 52-week high of $10.16. The RSI is at 75.954, indicating that the stock is overbought, which suggests caution. While the stock has shown a slight positive change of +0.10% over the last five days, the forward P/E ratio is 0, indicating uncertainty in future earnings. The main risk is the recent negative net income of -4,019,717 USD in Q4 2025, which raises concerns about profitability moving forward.
EVOX cerró en $10.14 el Wednesday, tras bajar -0.05%
Evolution Global Acquisition Corp (EVOX) last closed at $10.1400003, losing -0.05%. These facts feed the 1-day and 1-week EVOX price prediction above.
Factores de la previsión
Los factores de la previsión de Evolution Global Acquisition Corp (EVOX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de EVOX, ordenadas por similitud.
Análisis de estacionalidad de EVOX
Historically the probability of a positive November return for EVOX is 100.00%. February offers the highest probability of a positive month at 100.00%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.