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Host Hotels & Resorts 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 HST is experiencing slight buying pressure.

Host Hotels & Resorts Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 16.29 Buy
20-day SMA: 15.89 Buy
50-day SMA: 15.53 Buy
200-day SMA: 16.39 Buy
8-day EMA: 11.76 Buy
20-day EMA: 6.46 Buy
50-day EMA: 2.97 Buy
200-day EMA: 0.8 Buy

Host Hotels & Resorts Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 4.06 Buy
Relative Strength Index (14 RSI): 62.74 Buy
Chaikin Money Flow: 3276995 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (15.55 - 16.23) Buy
Bollinger Bands (100): (14.2 - 16.08) Buy

Host Hotels & Resorts 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 Host Hotels & Resorts Stock

Is Host Hotels & Resorts Stock a Buy?

HST Technical Analysis vs Fundamental Analysis

Buy
58
Host Hotels & Resorts (HST) is a Buy

Is Host Hotels & Resorts a Buy or a Sell?

Host Hotels & Resorts Stock Info

Market Cap:
11.4B
Price in USD:
16.50
Share Volume:
6.6M

Host Hotels & Resorts 52-Week Range

52-Week High:
19.37
52-Week Low:
12.22
Buy
58
Host Hotels & Resorts (HST) is a Buy

Host Hotels & Resorts Share Price Forecast

Is Host Hotels & Resorts Stock a Buy?

Fundamental Analysis of Host Hotels & Resorts

Is Host Hotels & Resorts a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.06 per share, an increase next quarter of $0.19 per share, a decrease this year of $0.20 per share, and an increase next year of $0.00 per share.

Technical Analysis of Host Hotels & Resorts

Should I short Host Hotels & Resorts stock?

* Host Hotels & Resorts stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.