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Central Pacific Financial Stock Price Chart

  • The current trend is moderately bullish and CPF is experiencing slight selling pressure.

Central Pacific Financial Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 29.22 Sell
20-day SMA: 27.82 Buy
50-day SMA: 27.24 Buy
200-day SMA: 28.18 Buy
8-day EMA: 28.97 Sell
20-day EMA: 28.22 Buy
50-day EMA: 26.24 Buy
200-day EMA: 14.57 Buy

Central Pacific Financial Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.77 Buy
Relative Strength Index (14 RSI): 62.2 Buy
Chaikin Money Flow: -28067 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.43 - 28.87) Buy
Bollinger Bands (100): (25.67 - 28.41) Buy

Central Pacific Financial 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 Central Pacific Financial Stock

Is Central Pacific Financial Stock a Buy?

CPF Technical Analysis vs Fundamental Analysis

Buy
61
Central Pacific Financial (CPF) is a Buy

Is Central Pacific Financial a Buy or a Sell?

Central Pacific Financial Stock Info

Market Cap:
781.2M
Price in USD:
28.96
Share Volume:
78.6K

Central Pacific Financial 52-Week Range

52-Week High:
33.25
52-Week Low:
22.49
Buy
61
Central Pacific Financial (CPF) is a Buy

Central Pacific Financial Share Price Forecast

Is Central Pacific Financial Stock a Buy?

Fundamental Analysis of Central Pacific Financial

Is Central Pacific Financial a good investment?

  • Analysts estimate an earnings increase this quarter of $0.16 per share, an increase next quarter of $0.05 per share, an increase this year of $0.52 per share, and an increase next year of $0.35 per share.

Technical Analysis of Central Pacific Financial

Should I short Central Pacific Financial stock?

* Central Pacific Financial stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.