$135.460
-4.118 (-3.04%)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 $117.44 (-0.31%). The 1-week path is $116.74 (-0.91%). 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 current price of $140.58, which is significantly below the average analyst price target of $150. Additionally, the RSI is at 62.35, suggesting the stock is not overbought, and there is potential for further gains as the Galleri test approaches FDA approval, which could drive revenue growth by 58% to $147 million by 2025. However, the main risk is the company's ongoing unprofitability, with a net income of -110 million in Q2 2026, which investors should consider before purchasing.
GRAL cerró en $135.46 el Thursday, tras bajar -3.04%
Grail Inc (GRAL) last closed at $117.81, losing -13.03%. 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
Bearish
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 October return for GRAL is 75.86%. 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.