$2.730
-0.078 (-2.85%)Al cierre
Predicciones de precio
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Predicción y previsión de AQMS por análisis de gráficos similares
Alphio's AQMS stock price prediction model matches the current Aqua Metals Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.80 (+2.46%). The 1-week path is $2.80 (+2.45%). 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 Aqua Metals Inc?
Aqua Metals Inc is not a strong buy at the moment due to significant financial losses and a low RSI of 42.82, indicating potential weakness in momentum. The current price of $2.73 is below the 200-day SMA of $4.47, suggesting a bearish trend. However, the projected trajectory shows a potential upside of 286.48%, which could be attractive for long-term investors willing to take on risk.
AQMS cerró en $2.73 el Friday, tras bajar -2.85%
Aqua Metals Inc (AQMS) last closed at $2.73, losing -2.85%. These facts feed the 1-day and 1-week AQMS price prediction above.
Consenso de analistas
Aqua Metals Inc (AQMS): 4 comprar, 0 mantener, 0 vender. Perspectiva: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de Aqua Metals Inc (AQMS) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de AQMS, ordenadas por similitud.
Análisis de estacionalidad de AQMS
Historically the probability of a positive August return for AQMS is 0.00%. January offers the highest probability of a positive month at 27.87%, while March 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.