$20.720
-0.039 (-0.19%)At close
Price Predictions
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CUBB Prediction & Forecast by Similar Chart Analysis
Alphio's CUBB stock price prediction model matches the current Customers Bancorp Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $20.74 (+0.13%). The 1-week path is $20.32 (-1.86%). 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 Customers Bancorp Inc Stock?
Customers Bancorp Inc is currently not a strong buy. The stock is trading at $20.61, which is close to its 52-week low of $20.36, indicating it may not have much upside potential in the short term. Additionally, the RSI is at 37.123, suggesting it is nearing oversold territory, but not yet a clear buy signal. The gross margin has shown volatility, with a recent figure of 53.22%, down from a high of 55.35% in the previous quarter, which raises concerns about profitability stability. The main risk is the declining gross margin, which has fluctuated significantly, indicating potential operational challenges.
CUBB stock price ended at $20.72 on Thursday, after losing -0.19%
Customers Bancorp Inc (CUBB) last closed at $20.7099991, losing -0.05%. These facts feed the 1-day and 1-week CUBB price prediction above.
Forecast Drivers
Customers Bancorp Inc (CUBB) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches CUBB, ranked by similarity.
Seasonality analysis for CUBB
Historically the probability of a positive November return for CUBB is 68.18%. December offers the highest probability of a positive month at 81.40%, while April 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.