$15.170
-0.020 (-0.13%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
MCHB-Prognose durch Analyse ähnlicher Charts
Alphio's MCHB stock price prediction model matches the current Mechanics Bancorp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.34 (+1.14%). The 1-week path is $15.50 (+2.20%). 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 Mechanics Bancorp-Aktien kaufen?
HomeStreet Inc (MCHB) appears to be a good buy right now due to its current price of $15.17, which is below the average analyst price target of $17.25. The stock has shown a strong 5-day change of +5.71% and a solid year-to-date change of +2.99%. Additionally, the company reported a net income of $57.7 million in Q2 2026, with an EPS of $0.25, indicating a positive trend in profitability. However, a risk to consider is the RSI of 77.175, which suggests that the stock may be overbought in the short term.
MCHB schloss am Friday bei $15.17, nachdem der Kurs -0.13% fallen
Mechanics Bancorp (MCHB) last closed at $15.17, losing -0.13%. These facts feed the 1-day and 1-week MCHB price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Mechanics Bancorp (MCHB) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf MCHB am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für MCHB
Historically the probability of a positive October return for MCHB is 79.37%. July offers the highest probability of a positive month at 100.00%, while March 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.