UBS AG ETRACS Crude Oil Shares Covered Call ETNs due April 24, 2037 USOI
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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
UBS AG ETRACS Crude Oil Shares Covered Call ETNs due April 24, 2037 (USOI) Investment Strategy and Portfolio Holdings Overview
USOI adds a twist to the crude oil segment by extracting income from oil futures exposure. The ETN provides the return of USCF`s popular front-month oil ETF, USO, coupled with a notional short position in USO calls expiring the next month with strike prices 6% out of the money. The strategy adds yield and lowers volatility compared to owning USO outright, but at the cost of upside participation. Therefore, USOI is likely to perform very differently from crude oil futures. USOI aims to distribute yield monthly, typical of an ETN.
Key Insights
UBS AG ETRACS Crude Oil Shares Covered Call ETNs due April 24, 2037 (USOI) Essential ETF Metrics and Performance Data
Latest Closing Price
$54.34Market Cap
$338.06 MillionAverage Trade Volume
63,027 SharesTotal Outstanding Shares
920,000 SharesInception Date
April 26, 2017Primary Exchange
NASDAQ
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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