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Service Properties 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 SVC is experiencing slight selling pressure.

Service Properties Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.5 Buy
20-day SMA: 2.46 Buy
50-day SMA: 2.26 Buy
200-day SMA: 2.82 Sell
8-day EMA: 0.57 Buy
20-day EMA: 0.24 Buy
50-day EMA: 0.1 Buy
200-day EMA: 0.03 Buy

Service Properties Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.21 Buy
Relative Strength Index (14 RSI): 62.59 Buy
Chaikin Money Flow: -188256 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.33 - 2.51) Buy
Bollinger Bands (100): (2.03 - 2.71) Buy

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

Sell
49
Service Properties Trust (SVC) is a Sell

Is Service Properties Trust a Buy or a Sell?

Service Properties Trust Stock Info

Market Cap:
428.3M
Price in USD:
2.57
Share Volume:
715.4K

Service Properties Trust 52-Week Range

52-Week High:
6.34
52-Week Low:
1.71
Sell
49
Service Properties Trust (SVC) is a Sell

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, an increase next quarter of $0.10 per share, a decrease this year of $1.05 per share, and an increase next year of $0.26 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.