$334.940
+5.660 (+1.69%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
PLPC-Prognose durch Analyse ähnlicher Charts
Alphio's PLPC stock price prediction model matches the current Preformed Line Products Co tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $336.18 (+0.37%). The 1-week path is $327.77 (-2.14%). 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 Preformed Line Products Co-Aktien kaufen?
Currently, Preformed Line Products Co (PLPC) is not a strong buy due to its low RSI of 16.94, indicating it is oversold, and recent price declines of 6.67% over the last 5 days. However, the company reported a significant Q2 EPS of $4.49, exceeding expectations by $2.08, and a gross margin of 34.33%, which is an improvement from previous quarters. These factors suggest potential for recovery, but caution is advised due to the recent downward trend.
PLPC schloss am Monday bei $334.94, nachdem der Kurs +1.69% gestiegen ist
Preformed Line Products Co (PLPC) last closed at $334.9400024, gaining +1.69%. These facts feed the 1-day and 1-week PLPC price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Preformed Line Products Co (PLPC) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf PLPC am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für PLPC
Historically the probability of a positive October return for PLPC is 64.62%. November offers the highest probability of a positive month at 89.74%, while January 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.