$3.860
-2.099 (-54.37%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de PMI por análisis de gráficos similares
Alphio's PMI stock price prediction model matches the current Picard Medical Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.86 (-0.07%). The 1-week path is $3.51 (-9.00%). 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 Picard Medical Inc?
Picard Medical Inc is a good buy right now due to significant recent revenue growth and improving financial metrics. The stock closed at $8.80, with a remarkable 5-day change of +174.14%, indicating strong momentum. Additionally, the gross margin improved to 20.9% in Q2 2026 from negative margins a year earlier, showcasing effective cost management. However, the main risk is the ongoing net loss of approximately $5.7 million in Q2 2026, which reflects the company's need for continued operational improvements.
PMI cerró en $3.86 el Tuesday, tras bajar -54.37%
Picard Medical Inc (PMI) last closed at $3.86, losing -54.37%. These facts feed the 1-day and 1-week PMI price prediction above.
Factores de la previsión
Los factores de la previsión de Picard Medical Inc (PMI) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de PMI, ordenadas por similitud.
Análisis de estacionalidad de PMI
Historically the probability of a positive September return for PMI is 95.45%. September offers the highest probability of a positive month at 95.45%, 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.