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Industrial Logistics Properties Trust 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 ILPT is experiencing buying pressure, which is a positive indicator for future bullish movement.

Industrial Logistics Properties Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.88 Sell
20-day SMA: 3.26 Sell
50-day SMA: 3.61 Sell
200-day SMA: 4.04 Sell
8-day EMA: 2.87 Sell
20-day EMA: 3.16 Sell
50-day EMA: 3.45 Sell
200-day EMA: 3.83 Sell

Industrial Logistics Properties Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.26 Sell
Relative Strength Index (14 RSI): 32.49 Sell
Chaikin Money Flow: 254034 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.98 - 3.62) Sell
Bollinger Bands (100): (3.33 - 3.93) Sell

Industrial Logistics Properties 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 Industrial Logistics Properties Trust Stock

Is Industrial Logistics Properties Trust Stock a Buy?

ILPT Technical Analysis vs Fundamental Analysis

Sell
10
Industrial Logistics Properties Trust (ILPT) is a Sell

Is Industrial Logistics Properties Trust a Buy or a Sell?

Industrial Logistics Properties Trust Stock Info

Market Cap:
177.3M
Price in USD:
2.68
Share Volume:
293.1K

Industrial Logistics Properties Trust 52-Week Range

52-Week High:
5.45
52-Week Low:
2.45
Sell
10
Industrial Logistics Properties Trust (ILPT) is a Sell

Industrial Logistics Properties Trust Share Price Forecast

Is Industrial Logistics Properties Trust Stock a Buy?

Technical Analysis of Industrial Logistics Properties Trust

Should I short Industrial Logistics Properties Trust stock?

* Industrial Logistics Properties 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.