$25.640
-0.169 (-0.66%)Al cierre
Predicciones de precio
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Predicción y previsión de KMTS por análisis de gráficos similares
Alphio's KMTS stock price prediction model matches the current Kestra Medical Technologies Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $25.41 (-0.89%). The 1-week path is $27.10 (+5.69%). 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 Kestra Medical Technologies Ltd?
Kestra Medical Technologies (KMTS) is currently not a strong buy due to its low RSI of 23.147, indicating oversold conditions, and a recent 5-day price drop of 5.00%. However, the company has shown significant revenue growth, with Q2 2026 revenue at $22,565,000, a 63% year-over-year increase in prescription volume, and a positive analyst outlook with a price target of $30 from JPMorgan. The main risk is its negative net income, which was -$38,835,000 in Q4 2026, indicating ongoing financial challenges.
KMTS cerró en $25.64 el Friday, tras bajar -0.66%
Kestra Medical Technologies Ltd (KMTS) last closed at $25.64, losing -0.66%. These facts feed the 1-day and 1-week KMTS price prediction above.
Factores de la previsión
Los factores de la previsión de Kestra Medical Technologies Ltd (KMTS) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de KMTS, ordenadas por similitud.
Análisis de estacionalidad de KMTS
Historically the probability of a positive August return for KMTS is 46.34%. October offers the highest probability of a positive month at 100.00%, while June 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.