Goldman Sachs MarketBeta Russell 1000 Value Equity ETF GVUS
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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
Goldman Sachs MarketBeta Russell 1000 Value Equity ETF (GVUS) Investment Strategy and Portfolio Holdings Overview
The fund seeks to achieve its investment objective by investing at least 80% of its assets in equity securities included in its underlying index, in depositary receipts representing equity securities included in its underlying index, and in underlying stocks in lieu of depositary receipts included in its underlying index. The index is designed to measure the performance of the large- and mid-capitalization value segment of U.S. equity issuers, with a capping methodology.
Key Insights
Goldman Sachs MarketBeta Russell 1000 Value Equity ETF (GVUS) Essential ETF Metrics and Performance Data
Latest Closing Price
$48.5132Market Cap
$416.26 MillionAverage Trade Volume
35,711 SharesTotal Outstanding Shares
7.55 Million SharesInception Date
November 30, 2023Primary 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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