$1.470
-0.058 (-3.92%)Al cierre
Predicciones de precio
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Predicción y previsión de HERE por análisis de gráficos similares
Alphio's HERE stock price prediction model matches the current Here Group Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.42 (-3.70%). The 1-week path is $1.45 (-1.24%). 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 Here Group Ltd?
Here Group Ltd is not a good buy right now due to significant financial losses and declining margins. The current price is $1.48, with a forward P/E ratio of 32.05, indicating overvaluation given the company's recent performance. The company reported a net loss of RMB 169.6 million in Q4, a substantial increase from the previous year, highlighting ongoing profitability issues. The main risk is the declining gross margin, which fell to 25.8% in Q4 from 34.7% a year ago, reflecting rising costs and pressure on profitability.
HERE cerró en $1.47 el Friday, tras bajar -3.92%
Here Group Ltd (HERE) last closed at $1.47, losing -3.92%. These facts feed the 1-day and 1-week HERE price prediction above.
Factores de la previsión
Los factores de la previsión de Here Group Ltd (HERE) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de HERE, ordenadas por similitud.
Análisis de estacionalidad de HERE
Historically the probability of a positive October return for HERE is 0.00%. January offers the highest probability of a positive month at 15.00%, while February 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.