$32.420
-0.188 (-0.58%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
PKE Prediction & Forecast by Similar Chart Analysis
Alphio's PKE stock price prediction model matches the current Park Aerospace Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $31.99 (-1.33%). The 1-week path is $32.47 (+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.
Should I Buy Park Aerospace Corp Stock?
Park Aerospace Corp is currently a hold due to its mixed performance indicators. The current price is $32.42, with a low RSI of 22.012 indicating potential overselling, but the forward P/E ratio of 17.094 suggests reasonable future earnings expectations. However, the recent 5-day change of -4.31% and negative sentiment around executive changes raise caution.
PKE stock price ended at $32.42 on Friday, after losing -0.58%
Park Aerospace Corp (PKE) last closed at $32.42, losing -0.58%. These facts feed the 1-day and 1-week PKE price prediction above.
Analyst Consensus
Park Aerospace Corp (PKE): 2 buy, 0 hold, 0 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Park Aerospace Corp (PKE) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches PKE, ranked by similarity.
Seasonality analysis for PKE
Historically the probability of a positive August return for PKE is 65.08%. December offers the highest probability of a positive month at 97.67%, while May is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.