$90.020
-2.467 (-2.74%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
HNGE-Prognose durch Analyse ähnlicher Charts
Alphio's HNGE stock price prediction model matches the current Hinge Health Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $91.10 (+1.20%). The 1-week path is $91.85 (+2.03%). 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 Hinge Health Inc-Aktien kaufen?
Hinge Health Inc is a good buy right now due to its strong revenue guidance, which was raised to between $856 million and $860 million, exceeding consensus estimates of $822.16 million. Additionally, the company reported a significant year-over-year revenue growth of 53% in Q2 2026, reaching $213 million, and a gross margin of 86.44%, showcasing its profitability. The main risk is the current RSI of 44.033, indicating a potential oversold condition, but the overall positive catalysts outweigh this concern.
HNGE schloss am Tuesday bei $90.02, nachdem der Kurs -2.74% fallen
Hinge Health Inc (HNGE) last closed at $90.02, losing -2.74%. These facts feed the 1-day and 1-week HNGE price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Hinge Health Inc (HNGE) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf HNGE am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für HNGE
Historically the probability of a positive September return for HNGE is 100.00%. June 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.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.