Gabelli Utility & Income Trust GLU
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Gabelli Utility & Income Trust (GLU) Business Model and Operations Summary
Gabelli Global Utility & Income Trust is a non-diversified, closed-end management investment company. The Fund's objective is to seek a consistent level of after-tax total return. It predominantly invests in stocks of companies involved to a substantial extent in providing products, services, or equipment for the generation or distribution of electricity, gas, or water and infrastructure operations, and in equity securities including preferred securities of companies in other industries, in each case in such securities that are expected to pay periodic dividends.
Key Insights
Gabelli Utility & Income Trust (GLU) Core Market Data and Business Metrics
Latest Closing Price
$16.73Market Cap
$99.78 MillionTotal Outstanding Shares
5.98 Million SharesIPO Date
May 26, 2004Primary Exchange
American Stock Exchange
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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