First Trust Exchange-Traded Fund II First Trust S-Network Future Vehicles & Technology ETF CARZ
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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
First Trust Exchange-Traded Fund II First Trust S-Network Future Vehicles & Technology ETF (CARZ) Investment Strategy and Portfolio Holdings Overview
The fund will normally invest at least 90% of its net assets in the common stocks and depositary receipts that comprise the index. To be eligible for inclusion in the index, a company must be listed on a major recognized stock exchange and engaged in one of the following sectors: electric and autonomous vehicle manufacturing; enabling technologies or enabling materials. The fund is non-diversified.
Key Insights
First Trust Exchange-Traded Fund II First Trust S-Network Future Vehicles & Technology ETF (CARZ) Essential ETF Metrics and Performance Data
Latest Closing Price
$58.04Market Cap
$27.65 MillionAverage Trade Volume
1,919 SharesTotal Outstanding Shares
500,000 SharesInception Date
May 10, 2011Primary 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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