$8.740
-0.224 (-2.56%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
AVR-Prognose durch Analyse ähnlicher Charts
Alphio's AVR stock price prediction model matches the current Anteris Technologies Global Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.11 (+4.18%). The 1-week path is $8.73 (-0.17%). 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 Anteris Technologies Global Corp-Aktien kaufen?
Anteris Technologies appears to be a good buy right now due to its current price of $8.74, which is significantly below analyst price targets ranging from $15 to $18, indicating potential upside. Additionally, the company has shown a strong gross margin of 76.91% in Q2 2026, suggesting efficient operations. However, the main risk is the ongoing net losses, with a reported EPS of -0.30 in the last earnings report, which could impact investor sentiment.
AVR schloss am Friday bei $8.74, nachdem der Kurs -2.56% fallen
Anteris Technologies Global Corp (AVR) last closed at $8.74, losing -2.56%. These facts feed the 1-day and 1-week AVR price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Anteris Technologies Global Corp (AVR) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf AVR am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für AVR
Historically the probability of a positive August return for AVR is 48.78%. February offers the highest probability of a positive month at 100.00%, while November 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.