$0.386
+0.004 (+1.07%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
AIRE-Prognose durch Analyse ähnlicher Charts
Alphio's AIRE stock price prediction model matches the current reAlpha Tech Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.39 (+1.31%). The 1-week path is $0.40 (+2.97%). 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.
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Given the current price of $0.39, the asset has seen a drastic decline of 96.69% year-to-date and 65.55% over the past 20 days. The RSI is extremely low at 18.101, indicating oversold conditions, but the forward P/E ratio is 0, suggesting no earnings growth expectations. The gross margin has improved to 50.64% in Q2 2026, but the company continues to report significant net losses, with a net income of -$3,087,847 in the same quarter. The main risk is the high debt to equity ratio of 75.78%, which could hinder future growth and stability.
AIRE schloss am Friday bei $0.39, nachdem der Kurs +1.07% gestiegen ist
reAlpha Tech Corp (AIRE) last closed at $0.3858, gaining +1.07%. These facts feed the 1-day and 1-week AIRE price prediction above.
Prognose-Treiber
Die Prognose-Treiber von reAlpha Tech Corp (AIRE) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf AIRE am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für AIRE
Historically the probability of a positive November return for AIRE is 0.00%. December offers the highest probability of a positive month at 9.30%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.