$0.183
-0.002 (-1.03%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
CAPS-Prognose durch Analyse ähnlicher Charts
Alphio's CAPS stock price prediction model matches the current Capstone Holding Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.18 (+0.53%). The 1-week path is $0.19 (+1.27%). 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 Capstone Holding Corp-Aktien kaufen?
Capstone Holding Corp. is not a good buy right now due to its significant losses and poor technical indicators. The current price is $0.18, and the stock has a Relative Strength Index (RSI) of 20.388, indicating it is oversold. Additionally, the stock has experienced a year-to-date change of -74.10%, reflecting a severe decline in value. The main risk is the company's negative net income, which was -1,380,000 USD in Q2 2026, and the lack of positive momentum in both technical and fundamental aspects.
CAPS schloss am Friday bei $0.18, nachdem der Kurs -1.03% fallen
Capstone Holding Corp (CAPS) last closed at $0.1831, losing -1.03%. These facts feed the 1-day and 1-week CAPS price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Capstone Holding Corp (CAPS) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf CAPS am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für CAPS
Historically the probability of a positive August return for CAPS is 0.00%. March offers the highest probability of a positive month at 25.40%, while May 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.