$23.530
-1.489 (-6.33%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de ELVR por análisis de gráficos similares
Alphio's ELVR stock price prediction model matches the current Elevra Lithium Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.67 (+0.59%). The 1-week path is $24.08 (+2.35%). 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 Elevra Lithium Ltd?
Given the current price of 23.53, the RSI is extremely low at 9.079, indicating oversold conditions, but the forward P/E of 4.7642 suggests potential undervaluation. However, the stock has seen a significant decline of 55.43% year-to-date, and the recent performance shows a 14.28% drop over the past five days, indicating ongoing bearish sentiment. The main risk is the negative earnings with a P/E ratio of -2.863092, which raises concerns about profitability.
ELVR cerró en $23.53 el Friday, tras bajar -6.33%
Elevra Lithium Ltd (ELVR) last closed at $23.53, losing -6.33%. These facts feed the 1-day and 1-week ELVR price prediction above.
Factores de la previsión
Los factores de la previsión de Elevra Lithium Ltd (ELVR) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de ELVR, ordenadas por similitud.
Análisis de estacionalidad de ELVR
Historically the probability of a positive October return for ELVR is 57.50%. April offers the highest probability of a positive month at 100.00%, 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.