UVA Unconstrained Medium-Term Fixed Income ETF FFIU
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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.
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About
UVA Unconstrained Medium-Term Fixed Income ETF (FFIU) Investment Strategy and Portfolio Holdings Overview
The fund seeks to achieve its investment objective of current income by investing principally in fixed income securities of any kind with a dollar-weighted average effective duration of between three and seven years. Under normal market conditions, Sub-Adviser intends to invest at least 80% of its net assets (plus the amount of borrowings for investment purposes) in such securities. Fixed income securities include bonds, debt securities, and income-producing instruments of any kind issued by governmental or private-sector entities.
Key Insights
UVA Unconstrained Medium-Term Fixed Income ETF (FFIU) Essential ETF Metrics and Performance Data
Latest Closing Price
$21.7084Market Cap
$45.76 MillionAverage Trade Volume
4,149 SharesTotal Outstanding Shares
2.30 Million SharesInception Date
August 21, 2017Primary Exchange
New York Stock Exchange Archipelago
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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