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LXP Industrial 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 LXP is experiencing slight selling pressure.

LXP Industrial Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.03 Buy
20-day SMA: 49.03 Buy
50-day SMA: 47.8 Buy
200-day SMA: 43.88 Buy
8-day EMA: 49.94 Buy
20-day EMA: 49.12 Buy
50-day EMA: 47.89 Buy
200-day EMA: 45.29 Buy

LXP Industrial Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.81 Buy
Relative Strength Index (14 RSI): 68.78 Buy
Chaikin Money Flow: -199981 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (46.99 - 49.89) Buy
Bollinger Bands (100): (43.17 - 48.71) Buy

LXP Industrial 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 LXP Industrial Trust Stock

Is LXP Industrial Trust Stock a Buy?

LXP Technical Analysis vs Fundamental Analysis

Buy
71
LXP Industrial Trust (LXP) is a Buy

Is LXP Industrial Trust a Buy or a Sell?

LXP Industrial Trust Stock Info

Market Cap:
3B
Price in USD:
50.67
Share Volume:
1.8M

LXP Industrial Trust 52-Week Range

52-Week High:
52.52
52-Week Low:
34.25
Buy
71
LXP Industrial Trust (LXP) is a Buy

LXP Industrial Trust Share Price Forecast

Is LXP Industrial Trust Stock a Buy?

Fundamental Analysis of LXP Industrial Trust

Is LXP Industrial Trust a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $2.57 per share, and an increase next year of $0.04 per share.

Technical Analysis of LXP Industrial Trust

Should I short LXP Industrial Trust stock?

* LXP Industrial 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.