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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: 39.39 Buy
20-day SMA: 39.23 Buy
50-day SMA: 38.12 Buy
200-day SMA: 40.52 Sell
8-day EMA: 39.51 Buy
20-day EMA: 39.14 Buy
50-day EMA: 39.01 Buy
200-day EMA: 40.16 Sell

Universal Health Realty Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.35 Buy
Relative Strength Index (14 RSI): 59.7 Buy
Chaikin Money Flow: 74074 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (38.62 - 39.62) Buy
Bollinger Bands (100): (37.73 - 41.77) 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
42
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:
552.9M
Price in USD:
39.92
Share Volume:
145.3K

Universal Health Realty Income Trust 52-Week Range

52-Week High:
47.30
52-Week Low:
32.27
Sell
42
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.