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Anywhere Real Estate 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 HOUS is experiencing slight buying pressure.

Anywhere Real Estate Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 4 Sell
20-day SMA: 3.96 Buy
50-day SMA: 4.64 Sell
200-day SMA: 4.92 Sell
8-day EMA: 3.98 Sell
20-day EMA: 4.09 Sell
50-day EMA: 4.37 Sell
200-day EMA: 4.93 Sell

Anywhere Real Estate Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.17 Sell
Relative Strength Index (14 RSI): 43.47 Sell
Chaikin Money Flow: 320153 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (3.79 - 4.41) Sell
Bollinger Bands (100): (3.85 - 5.13) Sell

Anywhere Real Estate 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 Anywhere Real Estate Stock

Is Anywhere Real Estate Stock a Buy?

HOUS Technical Analysis vs Fundamental Analysis

Buy
61
Anywhere Real Estate (HOUS) is a Buy

Is Anywhere Real Estate a Buy or a Sell?

Anywhere Real Estate Stock Info

Market Cap:
441.71M
Price in USD:
3.97
Share Volume:
765.58K

Anywhere Real Estate 52-Week Range

52-Week High:
8.40
52-Week Low:
3.01
Buy
61
Anywhere Real Estate (HOUS) is a Buy

Anywhere Real Estate Share Price Forecast

Is Anywhere Real Estate Stock a Buy?

Fundamental Analysis of Anywhere Real Estate

Is Anywhere Real Estate a good investment?

  • Analysts estimate an earnings increase this quarter of $0.19 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.32 per share, and an increase next year of $0.89 per share.

Technical Analysis of Anywhere Real Estate

Should I short Anywhere Real Estate stock?

* Anywhere Real Estate stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.