$63.350
-0.108 (-0.17%)At close
Price Predictions
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WCCB Prediction & Forecast by Similar Chart Analysis
Alphio's WCCB stock price prediction model matches the current West Coast Community Bancorp Common Stock tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $63.13 (-0.34%). The 1-week path is $53.74 (-15.17%). 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 West Coast Community Bancorp Common Stock Stock?
West Coast Community Bancorp (WCCB) appears to be a good buy right now due to its strong performance metrics. The stock has shown a year-to-date change of +40.02% and a one-year change of +48.40%, indicating robust growth. Additionally, the current price of $61.54 is well above the 200-day simple moving average of $51.425, suggesting a strong upward trend. However, the RSI is at 75.997, which indicates that the stock may be overbought, representing a potential risk for short-term investors.
WCCB stock price ended at $63.35 on Wednesday, after losing -0.17%
West Coast Community Bancorp Common Stock (WCCB) last closed at $63.3499985, losing -0.17%. These facts feed the 1-day and 1-week WCCB price prediction above.
Forecast Drivers
West Coast Community Bancorp Common Stock (WCCB) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches WCCB, ranked by similarity.
Seasonality analysis for WCCB
Historically the probability of a positive October return for WCCB is 83.58%. December offers the highest probability of a positive month at 100.00%, while April 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.