$3.120
+1.285 (+41.18%)Al cierre
Predicciones de precio
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Predicción y previsión de SWVL por análisis de gráficos similares
Alphio's SWVL stock price prediction model matches the current Swvl Holdings Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.98 (-4.59%). The 1-week path is $2.44 (-21.68%). 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 Swvl Holdings Corp?
Swvl Holdings Corp is a good buy right now due to its recent strong performance, including a 5-day change of +113.70% and a current price of $3.12, which is well above its 200-day simple moving average of $1.788. Additionally, the company has regained compliance with Nasdaq listing rules, showcasing improved financial health with a net income of $1.3 million, a significant turnaround from a loss of $10.3 million the previous year. However, the main risk is the negative P/E ratio of -4.19, indicating potential volatility in earnings.
SWVL cerró en $3.12 el Friday, tras subir +41.18%
Swvl Holdings Corp (SWVL) last closed at $3.12, gaining +41.18%. These facts feed the 1-day and 1-week SWVL price prediction above.
Factores de la previsión
Los factores de la previsión de Swvl Holdings Corp (SWVL) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de SWVL, ordenadas por similitud.
Análisis de estacionalidad de SWVL
Historically the probability of a positive August return for SWVL is 41.27%. January offers the highest probability of a positive month at 59.02%, while June 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.