MicroSectors U.S. Big Banks 3x Leveraged ETNs due February 17, 2045 BNKU
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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
MicroSectors U.S. Big Banks 3x Leveraged ETNs due February 17, 2045 (BNKU) Business Model and Operations Summary
The notes are senior unsecured medium-term notes issued by Bank of Montreal with a return linked to a three times leveraged participation in the performance of the index, compounded daily, less a Daily Investor Fee, the Daily Financing Charge and, if applicable, the Redemption Fee Amount. The index is an equal-dollar weighted index designed to represent the 10 U.S. stocks with the largest market capitalization in the banking sector.
Key Insights
MicroSectors U.S. Big Banks 3x Leveraged ETNs due February 17, 2045 (BNKU) Core Market Data and Business Metrics
Latest Closing Price
$17.63Average Trade Volume
35,889 SharesTotal Outstanding Shares
500,000 SharesIPO Date
April 3, 2019SIC Description
Commercial Banks, NecPrimary Exchange
New York Stock Exchange ArchipelagoHeadquarters
1 First Canadian Place, Toronto, A6, M5X 1A1
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
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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