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Universal Health Realty Income Trust 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 UHT is experiencing selling pressure, which indicates risk of future bearish movement.

Universal Health Realty Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 33.95 Sell
20-day SMA: 34.97 Sell
50-day SMA: 37.46 Sell
200-day SMA: 41.83 Sell
8-day EMA: 33.94 Sell
20-day EMA: 34.99 Sell
50-day EMA: 36.98 Sell
200-day EMA: 41.24 Sell

Universal Health Realty Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.18 Sell
Relative Strength Index (14 RSI): 34.66 Sell
Chaikin Money Flow: -91327 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (34 - 36.7) Sell
Bollinger Bands (100): (36.68 - 42.8) Sell

Universal Health Realty Income Trust 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 Universal Health Realty Income Trust Stock

Is Universal Health Realty Income Trust Stock a Buy?

UHT Technical Analysis vs Fundamental Analysis

Sell
2
Universal Health Realty Income Trust (UHT) is a Sell

Is Universal Health Realty Income Trust a Buy or a Sell?

Universal Health Realty Income Trust Stock Info

Market Cap:
455.92M
Price in USD:
32.98
Share Volume:
93.13K

Universal Health Realty Income Trust 52-Week Range

52-Week High:
49.64
52-Week Low:
32.97
Sell
2
Universal Health Realty Income Trust (UHT) is a Sell

Universal Health Realty Income Trust Share Price Forecast

Is Universal Health Realty Income Trust Stock a Buy?

Technical Analysis of Universal Health Realty Income Trust

Should I short Universal Health Realty Income Trust stock?

* Universal Health Realty Income Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.