Oxford Square Capital OXSQ
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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
Oxford Square Capital (OXSQ) Business Model and Operations Summary
Oxford Square Capital Corp is a closed-end, non-diversified management investment company with a focus is to seek an attractive risk-adjusted total return by investing in corporate debt securities and collateralized loan obligation (CLO) structured finance investments that own corporate debt securities. its capital is generally used by its corporate borrowers to finance organic growth, acquisitions, recapitalizations, and working capital. The group invests in various industries such as Structured Finance, IT Consulting, Business Services, Utilities, Software, Healthcare, Telecommunication Services, Plastics Manufacturing and Diversified Insurance.
Key Insights
Oxford Square Capital (OXSQ) Core Market Data and Business Metrics
Latest Closing Price
$2.33Market Cap
$168.44 MillionTotal Outstanding Shares
71.38 Million SharesIPO Date
November 21, 2003Primary Exchange
NASDAQHeadquarters
8 Sound Shore Dr, Greenwich, CT, 06830
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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