Simplify US Equity PLUS Convexity ETF SPYC
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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
Simplify US Equity PLUS Convexity ETF (SPYC) Investment Strategy and Portfolio Holdings Overview
The adviser seeks to achieve the fund's investment objective by investing primarily in equity securities of U.S. companies and applying a convexity option overlay strategy to the equity investments. Under normal circumstances, it invests at least 80% of its net assets (plus any borrowings for investment purposes) in equity securities of U.S. companies, primarily by purchasing exchange-traded funds ("ETFs"). The option overlay consists of purchasing exchange-traded and over the counter ("OTC") put and call options on the S&P 500 Index or an S&P 500 Index ETF.
Key Insights
Simplify US Equity PLUS Convexity ETF (SPYC) Essential ETF Metrics and Performance Data
Latest Closing Price
$38.92Market Cap
$56.77 MillionAverage Trade Volume
11,103 SharesInception Date
September 4, 2020Primary 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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