abrdn Global Income Fund FCO
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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
abrdn Global Income Fund (FCO) Business Model and Operations Summary
abrdn Global Income Fund Inc is a closed-end, non-diversified management investment company. The Fund's principal investment objective is to provide high current income by investing predominantly in fixed-income securities. As a secondary investment objective, the Fund seeks capital appreciation, but only when consistent with its principal investment objective. It invests in Government Bonds & Corporate Bonds, and its investments are divided into three categories, Developed Markets, Investment Grade Developing Markets and Sub-Investment Grade Developing Markets.
Key Insights
abrdn Global Income Fund (FCO) Core Market Data and Business Metrics
Latest Closing Price
$6.24Market Cap
$84.76 MillionTotal Outstanding Shares
13.45 Million SharesIPO Date
March 12, 1992Primary 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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