Invesco S&P 500 Equal Weight Income Advantage ETF RSPA
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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
Invesco S&P 500 Equal Weight Income Advantage ETF (RSPA) Investment Strategy and Portfolio Holdings Overview
The fund seeks to achieve its investment objective by: (1) investing in a portfolio of U.S. equity securities designed to track the performance, before fees and expenses, of the S&P 500® Equal Weight Index or U.S.-listed exchange-traded funds (ETFs) that seek to track the performance of the index, or both, and (2) utilizing an options-based income strategy implemented through equity-linked notes (ELNs) with exposure to either the Index or ETFs tracking the index. The fund is non-diversified.
Key Insights
Invesco S&P 500 Equal Weight Income Advantage ETF (RSPA) Essential ETF Metrics and Performance Data
Latest Closing Price
$48.69Market Cap
$263.68 MillionAverage Trade Volume
24,031 SharesTotal Outstanding Shares
6.62 Million SharesInception Date
July 17, 2024Primary 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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