First Trust Long/Short Equity ETF FTLS
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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 Long/Short Equity ETF (FTLS) Investment Strategy and Portfolio Holdings Overview
Under normal conditions, the fund will expose at least 80% of its net assets (including investment borrowings) to U.S. exchange-listed equity securities and/or U.S. exchange-traded funds ("ETFs") that provide exposure to U.S. exchange-listed equity securities. It pursues its investment objective by establishing long and short positions in its portfolio of U.S. exchange-listed equity securities and ETFs. The fund may invest up to 20% of its net assets (including investment borrowings) in U.S. exchange-listed equity index futures contracts.
Key Insights
First Trust Long/Short Equity ETF (FTLS) Essential ETF Metrics and Performance Data
Latest Closing Price
$65.53Market Cap
$1.85 BillionAverage Trade Volume
185,372 SharesTotal Outstanding Shares
30.35 Million SharesInception Date
September 9, 2014Primary 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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