$10.170
0.000 (0.00%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
DYOR-Prognose durch Analyse ähnlicher Charts
Alphio's DYOR stock price prediction model matches the current Insight Digital Partners II tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.15 (-0.23%). The 1-week path is $10.19 (+0.15%). 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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Currently, DYOR is trading at $10.17, which is near the 52-week high of $10.47. The RSI is at 61.3, indicating that the stock is approaching overbought territory. While the recent performance shows a slight increase of 2.73% year-to-date, the forward P/E ratio is 0, suggesting uncertainty in future earnings. The main risk is the current ratio of 9.28, which, while high, indicates potential liquidity issues if not managed properly. Therefore, it may be prudent to hold rather than buy at this price.
DYOR schloss am Wednesday bei $10.17, nachdem der Kurs 0.00% gestiegen ist
Insight Digital Partners II (DYOR) last closed at $10.1700001, gaining +0.00%. These facts feed the 1-day and 1-week DYOR price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Insight Digital Partners II (DYOR) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf DYOR am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für DYOR
Historically the probability of a positive November return for DYOR is 38.46%. February offers the highest probability of a positive month at 100.00%, while December 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.