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

Gabelli Global Utility & Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 16.28 Sell
20-day SMA: 16.24 Sell
50-day SMA: 16.19 Sell
200-day SMA: 14.69 Buy
8-day EMA: 16.18 Sell
20-day EMA: 16.23 Sell
50-day EMA: 16.05 Buy
200-day EMA: 15.01 Buy

Gabelli Global Utility & Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.01 Sell
Relative Strength Index (14 RSI): 45.7 Sell
Chaikin Money Flow: 2592 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (16.06 - 16.54) Sell
Bollinger Bands (100): (14.66 - 16.28) 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

Sell
44
Gabelli Global Utility & Income Trust (GLU) is a Sell

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

Gabelli Global Utility & Income Trust Stock Info

Market Cap:
0
Price in USD:
16.06
Share Volume:
7.76K

Gabelli Global Utility & Income Trust 52-Week Range

52-Week High:
17.44
52-Week Low:
12.34
Sell
44
Gabelli Global Utility & Income Trust (GLU) is a Sell

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.