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Global Net Lease, Inc. Stock Price Chart

  • The current trend is moderately bullish and GNL is experiencing selling pressure, which indicates risk of future bearish movement.

Global Net Lease, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 8.37 Sell
20-day SMA: 8.24 Buy
50-day SMA: 7.95 Buy
200-day SMA: 7.74 Buy
8-day EMA: 8.36 Sell
20-day EMA: 8.24 Buy
50-day EMA: 8.06 Buy
200-day EMA: 7.83 Buy

Global Net Lease, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.13 Buy
Relative Strength Index (14 RSI): 57.58 Buy
Chaikin Money Flow: -2914738 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (7.98 - 8.36) Buy
Bollinger Bands (100): (7.54 - 8.22) Buy

Global Net Lease, Inc. 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 Global Net Lease, Inc. Stock

Is Global Net Lease, Inc. Stock a Buy?

GNL Technical Analysis vs Fundamental Analysis

Sell
20
Global Net Lease, Inc. (GNL) is a Sell

Is Global Net Lease, Inc. a Buy or a Sell?

Global Net Lease, Inc. Stock Info

Market Cap:
1.8B
Price in USD:
8.34
Share Volume:
5.1M

Global Net Lease, Inc. 52-Week Range

52-Week High:
8.62
52-Week Low:
6.51
Sell
20
Global Net Lease, Inc. (GNL) is a Sell

Global Net Lease, Inc. Share Price Forecast

Is Global Net Lease, Inc. Stock a Buy?

Fundamental Analysis of Global Net Lease, Inc.

Is Global Net Lease, Inc. a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.03 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.97 per share, and an increase next year of $0.37 per share.

Technical Analysis of Global Net Lease, Inc.

Should I short Global Net Lease, Inc. stock?

* Global Net Lease, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.