Rayliant Quantamental Emerging Market ex-China Equity ETF RAYE
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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
Rayliant Quantamental Emerging Market ex-China Equity ETF (RAYE) Investment Strategy and Portfolio Holdings Overview
The fund invests, under normal circumstances, at least 80% of its net assets plus any borrowings for investment purposes in equity securities of emerging market companies. The Adviser considers a company to be an emerging market company if it is organized or maintains its principal place of business in an emerging market country. The equity securities in which the it invests are primarily common stocks and depositary receipts, including unsponsored depositary receipts, but may also include preferred stock and securities of other investment companies.
Key Insights
Rayliant Quantamental Emerging Market ex-China Equity ETF (RAYE) Essential ETF Metrics and Performance Data
Latest Closing Price
$24.5446Market Cap
$63.52 MillionAverage Trade Volume
15,915 SharesTotal Outstanding Shares
2.75 Million SharesInception Date
December 16, 2021Primary 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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