Doubleline Income Solutions Fund DSL
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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
Doubleline Income Solutions Fund (DSL) Business Model and Operations Summary
DoubleLine Income Solutions Fund is a closed-end management investment company. Its primary investment objective is to seek high income and its secondary objective is to seek capital appreciation. It invests in debt securities and other income-producing investments anywhere in the world, including emerging markets. The company's investment portfolio comprises foreign corporate bonds, U.S. corporate bonds, bank loans, collateralized loan obligations, non-agency commercial mortgage backed obligations, asset-backed obligations, and municipal bonds among others.
Key Insights
Doubleline Income Solutions Fund (DSL) Core Market Data and Business Metrics
Latest Closing Price
$12.3Market Cap
$1.35 BillionTotal Outstanding Shares
111.48 Million SharesIPO Date
April 26, 2013Primary 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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