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Orange County Bancorp Stock Price Chart

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

Orange County Bancorp Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 23.71 Sell
20-day SMA: 24.6 Sell
50-day SMA: 24.44 Sell
200-day SMA: 26.6 Sell
8-day EMA: 23.64 Sell
20-day EMA: 24.3 Sell
50-day EMA: 24.63 Sell
200-day EMA: 25.53 Sell

Orange County Bancorp Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.52 Sell
Relative Strength Index (14 RSI): 42.95 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.76 - 26.32) Sell
Bollinger Bands (100): (23.21 - 26.31) Sell

Orange County Bancorp 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 Orange County Bancorp Stock

Is Orange County Bancorp Stock a Buy?

OBT Technical Analysis vs Fundamental Analysis

Sell
28
Orange County Bancorp (OBT) is a Sell

Is Orange County Bancorp a Buy or a Sell?

Orange County Bancorp Stock Info

Market Cap:
315.3M
Price in USD:
23.60
Share Volume:
84.5K

Orange County Bancorp 52-Week Range

52-Week High:
33.06
52-Week Low:
20.97
Sell
28
Orange County Bancorp (OBT) is a Sell

Orange County Bancorp Share Price Forecast

Is Orange County Bancorp Stock a Buy?

Fundamental Analysis of Orange County Bancorp

Is Orange County Bancorp a good investment?

  • Analysts estimate an earnings increase this quarter of $0.05 per share, an increase next quarter of $0.06 per share, an increase this year of $0.51 per share, and an increase next year of $0.19 per share.

Technical Analysis of Orange County Bancorp

Should I short Orange County Bancorp stock?

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