$2.150
-0.049 (-2.27%)Al cierre
Predicciones de precio
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Predicción y previsión de GEG por análisis de gráficos similares
Alphio's GEG stock price prediction model matches the current Great Elm Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.15 (-0.09%). The 1-week path is $2.34 (+8.79%). 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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Great Elm Group Inc (GEG) is currently trading at $2.19, which is 38% of its 52-week high of $2.83. The RSI is at 72.93, indicating that the stock is overbought, which is a potential concern for short-term investors. Additionally, the forward P/E ratio is 42.74, suggesting that the stock may be overvalued relative to its earnings potential. However, the company has shown a strong gross margin of 89.11% in Q2 2026, indicating effective cost management. The main risk is the significant unrealized loss of $9.8 million reported in Q3 2026, which could impact future performance.
GEG cerró en $2.15 el Thursday, tras bajar -2.27%
Great Elm Group Inc (GEG) last closed at $2.1500001, losing -2.27%. These facts feed the 1-day and 1-week GEG price prediction above.
Factores de la previsión
Los factores de la previsión de Great Elm Group Inc (GEG) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de GEG, ordenadas por similitud.
Análisis de estacionalidad de GEG
Historically the probability of a positive November return for GEG is 43.18%. March offers the highest probability of a positive month at 53.97%, while January 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.