QNB Corp. Common Stock

QNB Corp. Common Stock (QNBC) Price Prediction & Forecast

$47.450

+0.038 (+0.08%)At close

Price Predictions

1-Day Price Prediction
+0.78%
1-Week Prediction
+0.43%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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QNBC Prediction & Forecast by Similar Chart Analysis

Alphio's QNBC stock price prediction model matches the current QNB Corp. Common Stock tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $47.82 (+0.78%). The 1-week path is $47.65 (+0.43%). 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 QNB Corp. Common Stock Stock?

While QNB Corp. has shown a significant year-to-date increase of 34.64% and a strong forward P/E ratio of 7.59, the recent net loss of $14.77 million in Q3 2026 raises concerns about its financial stability. Given the RSI of 85.26, indicating overbought conditions, and the potential for a price drop post-dividend, it may be wise to hold rather than buy at this time.

QNBC stock price ended at $47.45 on Wednesday, after rising +0.08%

QNB Corp. Common Stock (QNBC) last closed at $47.4500008, gaining +0.08%. These facts feed the 1-day and 1-week QNBC price prediction above.

Forecast Drivers

QNB Corp. Common Stock (QNBC) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Similar Chart Patterns

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

Seasonality analysis for QNBC

Historically the probability of a positive November return for QNBC is 100.00%. August offers the highest probability of a positive month at 100.00%, while June 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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