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CB Financial Services Stock Price Chart

  • The current trend is moderately bearish and CBFV is experiencing buying pressure, which is a positive indicator for future bullish movement.

CB Financial Services Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.5 Buy
20-day SMA: 28.11 Buy
50-day SMA: 27.48 Buy
200-day SMA: 23.92 Buy
8-day EMA: 28.45 Buy
20-day EMA: 28.19 Buy
50-day EMA: 27.3 Buy
200-day EMA: 24.61 Buy

CB Financial Services Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.32 Buy
Relative Strength Index (14 RSI): 56.77 Buy
Chaikin Money Flow: 2962 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (27.75 - 28.59) Buy
Bollinger Bands (100): (22.97 - 27.73) Buy

CB Financial Services 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 CB Financial Services Stock

Is CB Financial Services Stock a Buy?

CBFV Technical Analysis vs Fundamental Analysis

Buy
64
CB Financial Services (CBFV) is a Buy

Is CB Financial Services a Buy or a Sell?

CB Financial Services Stock Info

Market Cap:
146.72M
Price in USD:
28.60
Share Volume:
2.96K

CB Financial Services 52-Week Range

52-Week High:
29.50
52-Week Low:
20.75
Buy
64
CB Financial Services (CBFV) is a Buy

CB Financial Services Share Price Forecast

Is CB Financial Services Stock a Buy?

Fundamental Analysis of CB Financial Services

Is CB Financial Services a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.32 per share, and a decrease next year of $0.19 per share.

Technical Analysis of CB Financial Services

Should I short CB Financial Services stock?

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