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Universal Health Realty Income Trust 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 UHT is experiencing buying pressure, which is a positive indicator for future bullish movement.

Universal Health Realty Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 40.59 Buy
20-day SMA: 40.89 Sell
50-day SMA: 39.62 Buy
200-day SMA: 40.85 Sell
8-day EMA: 40.51 Buy
20-day EMA: 40.52 Buy
50-day EMA: 40 Buy
200-day EMA: 40.29 Buy

Universal Health Realty Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.19 Buy
Relative Strength Index (14 RSI): 52.87 Buy
Chaikin Money Flow: 41867 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (39.71 - 41.49) Buy
Bollinger Bands (100): (37.76 - 41.38) Buy

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
44
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:
564.8M
Price in USD:
40.78
Share Volume:
54.7K

Universal Health Realty Income Trust 52-Week Range

52-Week High:
47.30
52-Week Low:
32.27
Sell
44
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.