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Urban Edge Properties 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 UE is experiencing slight selling pressure.

Urban Edge Properties Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 20.72 Sell
20-day SMA: 19.77 Buy
50-day SMA: 19.43 Buy
200-day SMA: 19.39 Buy
8-day EMA: 19.02 Buy
20-day EMA: 13.02 Buy
50-day EMA: 6.77 Buy
200-day EMA: 1.95 Buy

Urban Edge Properties Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 5.72 Buy
Relative Strength Index (14 RSI): 63.85 Buy
Chaikin Money Flow: -483439 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (18.79 - 20.43) Buy
Bollinger Bands (100): (18.88 - 20.1) Buy

Urban Edge Properties 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 Urban Edge Properties Stock

Is Urban Edge Properties Stock a Buy?

UE Technical Analysis vs Fundamental Analysis

Buy
59
Urban Edge Properties (UE) is a Buy

Is Urban Edge Properties a Buy or a Sell?

Urban Edge Properties Stock Info

Market Cap:
2.6B
Price in USD:
20.67
Share Volume:
1.2M

Urban Edge Properties 52-Week Range

52-Week High:
21.87
52-Week Low:
15.66
Buy
59
Urban Edge Properties (UE) is a Buy

Urban Edge Properties Share Price Forecast

Is Urban Edge Properties Stock a Buy?

Fundamental Analysis of Urban Edge Properties

Is Urban Edge Properties a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.04 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.03 per share, and an increase next year of $0.05 per share.

Technical Analysis of Urban Edge Properties

Should I short Urban Edge Properties stock?

* Urban Edge Properties stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.