$34.040
-0.061 (-0.18%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
BOW-Prognose durch Analyse ähnlicher Charts
Alphio's BOW stock price prediction model matches the current Bowhead Specialty Holdings Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $34.28 (+0.70%). The 1-week path is $36.43 (+7.02%). 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 Bowhead Specialty Holdings Inc.-Aktien kaufen?
Bowhead Specialty Holdings Inc is currently a hold due to its acquisition by American Family Mutual Insurance Company for $34 per share, which is very close to its current trading price of $34.04. The stock has shown a year-to-date increase of 24.10%, indicating strong performance, but the acquisition price limits upside potential. Additionally, the RSI is at 50.716, suggesting the stock is neither overbought nor oversold, which further supports a hold position.
BOW schloss am Friday bei $34.04, nachdem der Kurs -0.18% fallen
Bowhead Specialty Holdings Inc. (BOW) last closed at $34.04, losing -0.18%. These facts feed the 1-day and 1-week BOW price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Bowhead Specialty Holdings Inc. (BOW) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf BOW am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für BOW
Historically the probability of a positive October return for BOW is 63.49%. June offers the highest probability of a positive month at 80.00%, 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.