$80.000
-2.424 (-3.03%)Al cierre
Predicciones de precio
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Predicción y previsión de GRAL por análisis de gráficos similares
Alphio's GRAL stock price prediction model matches the current Grail Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $79.39 (-0.76%). The 1-week path is $78.62 (-1.72%). 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 Grail Inc?
Grail Inc is a good buy right now due to its recent revenue growth of 25.9% year-over-year, reaching $44.7 million in Q2, and a current price of $80, which is below the analyst target of $88 from TD Cowen. The RSI is at 58.103, indicating a healthy momentum, while the forward P/E ratio is currently at 0, suggesting potential for future profitability as the company seeks FDA approval for its products. However, a key risk is the insider selling, which has increased by 191.52% over the last month, indicating potential concerns about the company's future performance.
GRAL cerró en $80.00 el Friday, tras bajar -3.03%
Grail Inc (GRAL) last closed at $80, losing -3.03%. These facts feed the 1-day and 1-week GRAL price prediction above.
Factores de la previsión
Los factores de la previsión de Grail Inc (GRAL) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de GRAL, ordenadas por similitud.
Análisis de estacionalidad de GRAL
Historically the probability of a positive August return for GRAL is 68.25%. December 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.