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Gabelli Global Utility & Income 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 GLU is experiencing slight buying pressure.

Gabelli Global Utility & Income Trust. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 18.38 Buy
20-day SMA: 18.27 Buy
50-day SMA: 18.2 Buy
200-day SMA: 17.2 Buy
8-day EMA: 18.38 Buy
20-day EMA: 18.29 Buy
50-day EMA: 18.17 Buy
200-day EMA: 17.34 Buy

Gabelli Global Utility & Income Trust. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.07 Buy
Relative Strength Index (14 RSI): 60.36 Buy
Chaikin Money Flow: 2846 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (18.11 - 18.37) Buy
Bollinger Bands (100): (17.74 - 18.26) Buy

Gabelli Global Utility & Income 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 Gabelli Global Utility & Income Trust. Stock

Is Gabelli Global Utility & Income Trust. Stock a Buy?

GLU Technical Analysis vs Fundamental Analysis

Buy
69
Gabelli Global Utility & Income Trust. (GLU) is a Buy

Is Gabelli Global Utility & Income Trust. a Buy or a Sell?

Gabelli Global Utility & Income Trust. Stock Info

Market Cap:
0
Price in USD:
18.48
Share Volume:
7.4K

Gabelli Global Utility & Income Trust. 52-Week Range

52-Week High:
18.70
52-Week Low:
14.07
Buy
69
Gabelli Global Utility & Income Trust. (GLU) is a Buy

Gabelli Global Utility & Income Trust. Share Price Forecast

Is Gabelli Global Utility & Income Trust. Stock a Buy?

Technical Analysis of Gabelli Global Utility & Income Trust.

Should I short Gabelli Global Utility & Income Trust. stock?

* Gabelli Global Utility & Income 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.