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Customers Bancorp, Inc. Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and CUBI is experiencing slight buying pressure.

Customers Bancorp, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 75.63 Buy
20-day SMA: 72.56 Buy
50-day SMA: 68.87 Buy
200-day SMA: 60.79 Buy
8-day EMA: 75.52 Buy
20-day EMA: 73.08 Buy
50-day EMA: 70.06 Buy
200-day EMA: 62.93 Buy

Customers Bancorp, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 2.39 Buy
Relative Strength Index (14 RSI): 66.54 Buy
Chaikin Money Flow: 42486 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (67.62 - 75.04) Buy
Bollinger Bands (100): (64.3 - 71.2) Buy

Customers Bancorp, Inc. Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Customers Bancorp, Inc. Stock

Is Customers Bancorp, Inc. Stock a Buy?

CUBI Technical Analysis vs Fundamental Analysis

Buy
67
Customers Bancorp, Inc. (CUBI) is a Buy

Is Customers Bancorp, Inc. a Buy or a Sell?

Customers Bancorp, Inc. Stock Info

Market Cap:
2.6B
Price in USD:
76.47
Share Volume:
150.6K

Customers Bancorp, Inc. 52-Week Range

52-Week High:
78.33
52-Week Low:
40.75
Buy
67
Customers Bancorp, Inc. (CUBI) is a Buy

Customers Bancorp, Inc. Share Price Forecast

Is Customers Bancorp, Inc. Stock a Buy?

Fundamental Analysis of Customers Bancorp, Inc.

Is Customers Bancorp, Inc. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.13 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.96 per share, and an increase next year of $0.43 per share.

Technical Analysis of Customers Bancorp, Inc.

Should I short Customers Bancorp, Inc. stock?

* Customers Bancorp, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.