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Service Properties 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 SVC is experiencing slight buying pressure.

Service Properties Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.78 Sell
20-day SMA: 3.09 Sell
50-day SMA: 3.96 Sell
200-day SMA: 5.36 Sell
8-day EMA: 2.77 Sell
20-day EMA: 3.11 Sell
50-day EMA: 3.73 Sell
200-day EMA: 5.19 Sell

Service Properties Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.38 Sell
Relative Strength Index (14 RSI): 25.16 Sell
Chaikin Money Flow: 733661 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.83 - 3.57) Sell
Bollinger Bands (100): (3.62 - 5.38) Sell

Service Properties 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 Service Properties Trust Stock

Is Service Properties Trust Stock a Buy?

SVC Technical Analysis vs Fundamental Analysis

Buy
60
Service Properties Trust (SVC) is a Buy

Is Service Properties Trust a Buy or a Sell?

Service Properties Trust Stock Info

Market Cap:
431.62M
Price in USD:
2.59
Share Volume:
2.2M

Service Properties Trust 52-Week Range

52-Week High:
8.72
52-Week Low:
2.62
Buy
60
Service Properties Trust (SVC) is a Buy

Service Properties Trust Share Price Forecast

Is Service Properties Trust Stock a Buy?

Fundamental Analysis of Service Properties Trust

Is Service Properties Trust a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.17 per share, and a decrease next year of $0.00 per share.

Technical Analysis of Service Properties Trust

Should I short Service Properties Trust stock?

* Service Properties 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.