$2.279
+0.255 (+11.17%)Al cierre
Predicciones de precio
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Predicción y previsión de ALEC por análisis de gráficos similares
Alphio's ALEC stock price prediction model matches the current Alector, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.28 (-0.13%). The 1-week path is $2.26 (-0.93%). 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 Alector, Inc.?
Alector Inc (ALEC) is a good buy right now due to its current price of $2.15, which is significantly below the analyst price target of $3, indicating a potential upside of about 40%. Additionally, the stock has shown a strong year-to-date change of +40.52%, suggesting positive momentum. The RSI is currently at 61.68, indicating that the stock is not overbought yet, which is favorable for new investors. However, the main risk is the company's negative earnings per share (EPS) of -0.21, which reflects ongoing financial challenges.
ALEC cerró en $2.28 el Wednesday, tras subir +11.17%
Alector, Inc. (ALEC) last closed at $2.279, gaining +11.17%. These facts feed the 1-day and 1-week ALEC price prediction above.
Factores de la previsión
Los factores de la previsión de Alector, Inc. (ALEC) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de ALEC, ordenadas por similitud.
Análisis de estacionalidad de ALEC
Historically the probability of a positive November return for ALEC is 7.14%. September offers the highest probability of a positive month at 67.74%, while December 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.