$25.640
-0.169 (-0.66%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
KMTS-Prognose durch Analyse ähnlicher Charts
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.
Soll ich Kestra Medical Technologies Ltd-Aktien kaufen?
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 schloss am Friday bei $25.64, nachdem der Kurs -0.66% fallen
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.
Prognose-Treiber
Die Prognose-Treiber von Kestra Medical Technologies Ltd (KMTS) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf KMTS am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für 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.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.