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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 selling pressure.

Vornado Realty Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 34.5 Sell
20-day SMA: 35.18 Sell
50-day SMA: 36.38 Sell
200-day SMA: 37.81 Sell
8-day EMA: 17.81 Buy
20-day EMA: 8.74 Buy
50-day EMA: 3.81 Buy
200-day EMA: 1 Buy

Vornado Realty Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 6.32 Buy
Relative Strength Index (14 RSI): 36.32 Sell
Chaikin Money Flow: -93592 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (33.64 - 36.08) Sell
Bollinger Bands (100): (35.35 - 40.35) Sell

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

Buy
51
Vornado Realty Trust (VNO) is a Buy

Is Vornado Realty Trust a Buy or a Sell?

Vornado Realty Trust Stock Info

Market Cap:
6.4B
Price in USD:
33.37
Share Volume:
3.4M

Vornado Realty Trust 52-Week Range

52-Week High:
45.37
52-Week Low:
29.68
Buy
51
Vornado Realty Trust (VNO) is a Buy

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 $0.04 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.10 per share, and an increase next year of $0.11 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.