$9.890
+0.754 (+7.62%)Al cierre
Predicciones de precio
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Predicción y previsión de NEGG por análisis de gráficos similares
Alphio's NEGG stock price prediction model matches the current Newegg Commerce Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.42 (+3.47%). The 1-week path is $10.15 (+11.51%). 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 Newegg Commerce Inc?
Newegg Commerce Inc is not a strong buy at the current price of $9.71, given its RSI of 35.61 indicating oversold conditions and a forward P/E ratio of 0 suggesting uncertainty in future earnings. The stock has a significant 1-year change of -87.51%, which raises concerns about its long-term viability. However, the recent net income of $2.2 million in Q2 shows a positive turnaround, which could attract future investment. The main risk is its high volatility, with a historical volatility of 65.59%.
NEGG cerró en $9.89 el Wednesday, tras subir +7.62%
Newegg Commerce Inc (NEGG) last closed at $9.1049995, losing -7.94%. These facts feed the 1-day and 1-week NEGG price prediction above.
Factores de la previsión
Los factores de la previsión de Newegg Commerce Inc (NEGG) 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 NEGG, ordenadas por similitud.
Análisis de estacionalidad de NEGG
Historically the probability of a positive November return for NEGG is 44.19%. December offers the highest probability of a positive month at 51.16%, while March 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.