$0.800
-0.037 (-4.60%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
APRE-Prognose durch Analyse ähnlicher Charts
Alphio's APRE stock price prediction model matches the current Aprea Therapeutics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.82 (-1.62%). The 1-week path is $0.84 (+0.86%). 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 Aprea Therapeutics Inc-Aktien kaufen?
Aprea Therapeutics appears to be a good buy right now due to a recent 5-day price increase of 30.97%, suggesting strong momentum. Additionally, the company has a solid cash position of $46.5 million, which is expected to sustain operations until Q1 2028, reducing financial risk. However, the main risk is the negative earnings trend, with a recent EPS of -0.07, indicating ongoing losses. Overall, the combination of positive price movement and financial stability supports a buy recommendation.
APRE schloss am Monday bei $0.80, nachdem der Kurs -4.60% fallen
Aprea Therapeutics Inc (APRE) last closed at $0.8357, gaining +4.46%. These facts feed the 1-day and 1-week APRE price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Aprea Therapeutics Inc (APRE) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf APRE am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für APRE
Historically the probability of a positive September return for APRE is 0.00%. January offers the highest probability of a positive month at 80.33%, 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.