$1.840
-0.010 (-0.54%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de BHST por análisis de gráficos similares
Alphio's BHST stock price prediction model matches the current BioHarvest Sciences Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.81 (-1.60%). The 1-week path is $2.10 (+13.89%). 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 BioHarvest Sciences Inc?
Bioharvest Sciences Inc is not a good buy right now due to a current price of $1.84, a very low RSI of 19.396 indicating oversold conditions, and a significant year-to-date decline of 64.68%. The company has reported consistent net losses, including a Q1 2026 loss of $2.6 million, which raises concerns about its financial health. The main risk is the forward P/E ratio of 153.85, suggesting that the stock is overvalued relative to its earnings potential.
BHST cerró en $1.84 el Friday, tras bajar -0.54%
BioHarvest Sciences Inc (BHST) last closed at $1.84, losing -0.54%. These facts feed the 1-day and 1-week BHST price prediction above.
Factores de la previsión
Los factores de la previsión de BioHarvest Sciences Inc (BHST) 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 BHST, ordenadas por similitud.
Análisis de estacionalidad de BHST
Historically the probability of a positive August return for BHST is 68.25%. September offers the highest probability of a positive month at 100.00%, 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.