Palladyne AI Corp

Palladyne AI Corp (PDYN) Price Prediction & Forecast

$2.705

-0.411 (-15.20%)At close

Price Predictions

1-Day Price Prediction
+2.53%
1-Week Prediction
+4.32%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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PDYN Prediction & Forecast by Similar Chart Analysis

Alphio's PDYN stock price prediction model matches the current Palladyne AI Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.77 (+2.53%). The 1-week path is $2.82 (+4.32%). 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 Palladyne AI Corp Stock?

Palladyne AI Corp is currently not a strong buy due to its high volatility and recent insider selling, despite a low current price of $3.34 and a forward P/E of 4.61 indicating potential undervaluation. The RSI is at 24.36, suggesting it is oversold, but the risk of further declines remains given the 5-day change of -13.70% and insider selling increasing by 124.96%.

PDYN stock price ended at $2.70 on Thursday, after losing -15.20%

Palladyne AI Corp (PDYN) last closed at $2.7049999, losing -15.20%. These facts feed the 1-day and 1-week PDYN price prediction above.

Forecast Drivers

Palladyne AI Corp (PDYN) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Similar Chart Patterns

Stocks whose recent price path most closely matches PDYN, ranked by similarity.

Seasonality analysis for PDYN

Historically the probability of a positive November return for PDYN is 46.51%. July offers the highest probability of a positive month at 69.70%, while January 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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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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