XAI Octagon Floating Rate and Alternative Income Trust Common Shares of Beneficial Interest XFLT
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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
XAI Octagon Floating Rate and Alternative Income Trust Common Shares of Beneficial Interest (XFLT) Business Model and Operations Summary
XAI Octagon Floating Rate & Alternative Income Trust is a diversified, closed-end management investment company which invests in a dynamically managed portfolio of floating-rate credit instruments and other structured credit investments within the private markets. The Trust's investment objective is to seek attractive total return with an emphasis on income generation across multiple stages of the credit cycle.
Key Insights
XAI Octagon Floating Rate and Alternative Income Trust Common Shares of Beneficial Interest (XFLT) Core Market Data and Business Metrics
Latest Closing Price
$5.79Market Cap
$437.68 MillionTotal Outstanding Shares
76.12 Million SharesPrimary Exchange
New York 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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