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Vornado Realty 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 VNO is experiencing slight buying pressure.

Vornado Realty Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 37.99 Buy
20-day SMA: 38.89 Sell
50-day SMA: 38.61 Sell
200-day SMA: 39.9 Sell
8-day EMA: 20.16 Buy
20-day EMA: 9.87 Buy
50-day EMA: 4.3 Buy
200-day EMA: 1.12 Buy

Vornado Realty Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 7.16 Buy
Relative Strength Index (14 RSI): 50.12 Buy
Chaikin Money Flow: 657657 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (37.68 - 40.62) Sell
Bollinger Bands (100): (35.64 - 40.22) Buy

Vornado Realty 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 Vornado Realty Trust Stock

Is Vornado Realty Trust Stock a Buy?

VNO Technical Analysis vs Fundamental Analysis

Sell
49
Vornado Realty Trust (VNO) is a Sell

Is Vornado Realty Trust a Buy or a Sell?

Vornado Realty Trust Stock Info

Market Cap:
7.4B
Price in USD:
38.51
Share Volume:
1.4M

Vornado Realty Trust 52-Week Range

52-Week High:
46.63
52-Week Low:
26.19
Sell
49
Vornado Realty Trust (VNO) is a Sell

Vornado Realty Trust Share Price Forecast

Is Vornado Realty Trust Stock a Buy?

Fundamental Analysis of Vornado Realty Trust

Is Vornado Realty Trust a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.12 per share, and an increase next year of $0.24 per share.

Technical Analysis of Vornado Realty Trust

Should I short Vornado Realty Trust stock?

* Vornado Realty 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.