Snapshot*
What is BULZ?
The return on the notes is linked to a three times leveraged participation in the performance of the Solactive FANG Innovation Index, compounded daily minus the applicable fees. The Index tracks the stock prices of 15 large capitalization U.S. technology stocks, including eight specific core components, which are: Alphabet Inc., Amazon.com, Inc., Apple Inc., Facebook, Inc., Microsoft Corporation, Netflix, Inc., NVIDIA Corporation and Tesla, Inc. The Index is a total return index.
BULZPerformance Measures**
for the time period Aug 18, 2021 to Jul 17, 2026
1M Trailing Return: -18.9%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 8.7%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -94.4%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 91.7%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 0.52
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.06
The annualized return divided by the max drawdown for the selected time period.
ETFs related toBULZ
ETFs correlated to BULZ include QQQM, TQQQ, QQQ
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
Trading Strategies
Related toBULZ
TQQQ For The Long Term Original
Category
Trend following, momentum rotation, leveraged ETFs, volatility trading, tactical allocation, U.S. equities (tech/semis tilt), risk-on/risk-off
OOS Cumulative Return
153.23%
V7 TQQQ FTLT Original - The Final Form Dereck N
Category
Leveraged ETFs, tech momentum, volatility hedging, trend-following, tactical, long/short Nasdaq, risk-on/risk-off
OOS Cumulative Return
137.86%
Create your own algorithmic trading strategy with BULZ using Composer
FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.