Financhill
Back

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: 3.8 Sell
20-day SMA: 4.38 Sell
50-day SMA: 4.24 Sell
200-day SMA: 4.63 Sell
8-day EMA: 3.77 Sell
20-day EMA: 4.11 Sell
50-day EMA: 4.32 Sell
200-day EMA: 4.8 Sell

Anywhere Real Estate Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.25 Sell
Relative Strength Index (14 RSI): 27.14 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (3.89 - 4.91) Sell
Bollinger Bands (100): (4.03 - 5.15) 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
51
Anywhere Real Estate (HOUS) is a Buy

Is Anywhere Real Estate a Buy or a Sell?

Anywhere Real Estate Stock Info

Market Cap:
386.1M
Price in USD:
3.47
Share Volume:
330.6K

Anywhere Real Estate 52-Week Range

52-Week High:
8.40
52-Week Low:
3.01
Buy
51
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 $0.10 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 $0.80 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.