$0.935
-0.043 (-4.64%)Al cierre
Predicciones de precio
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Predicción y previsión de SUIG por análisis de gráficos similares
Alphio's SUIG stock price prediction model matches the current Sui Group Holdings Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.94 (+0.53%). The 1-week path is $0.99 (+6.28%). 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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SUI Group Holdings Ltd is currently priced at $0.9479, significantly below its analyst price target of $2.00, indicating potential upside. However, the stock has experienced a substantial year-to-date decline of 47.04% and a one-year change of -85.55%, raising concerns about its stability. The RSI is at 43.341, suggesting it is nearing oversold territory but not quite there, indicating caution is warranted. The main risk is the negative net income reported for Q1 2026 at -$70,946,833, highlighting ongoing profitability challenges that could impact future performance.
SUIG cerró en $0.93 el Tuesday, tras bajar -4.64%
Sui Group Holdings Ltd (SUIG) last closed at $0.9345, losing -4.64%. These facts feed the 1-day and 1-week SUIG price prediction above.
Factores de la previsión
Los factores de la previsión de Sui Group Holdings Ltd (SUIG) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de SUIG, ordenadas por similitud.
Análisis de estacionalidad de SUIG
Historically the probability of a positive September return for SUIG is 18.18%. January offers the highest probability of a positive month at 50.00%, while February 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.