Snapshot*
Top 10 Holdings
What is WEBL?
The Daily Dow Jones Internet Bull and Bear 3X Shares seek daily investment results, before fees and expenses, of 300%, or 300% of the inverse (or opposite), of the performance of the Dow Jones Internet Composite Index. The Dow Jones Internet Composite Index (DJINETT) is provided by S&P Dow Jones Indices and includes companies that generate at least 50% of their annual sales/revenue from the internet as determined by the Index Provider. Additionally, each stock must have a minimum of three months trading history and a three month average market capitalization of at least $100 million. The Index consists of 40 stocks that are included in two different sectors, internet commerce and internet services.
WEBLPerformance Measures**
for the time period Nov 7, 2019 to Aug 6, 2026
1M Trailing Return: 13.0%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 13.2%
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: 82.6%
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: 0.45
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: 0.03
The annualized return divided by the max drawdown for the selected time period.
ETFs related toWEBL
ETFs correlated to WEBL include FDN, PNQI, SKYY
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 toWEBL
Loops 2 DD/Dev Ret 10.4.23
Category
Tactical rotation, trend-following, mean reversion, leveraged ETFs, long/short, crash protection, volatility-based, tech-heavy, multi-model ensemble
OOS Cumulative Return
266.3%
WAM Collection Live
Category
Leveraged ETFs, tactical allocation, mean reversion, relative strength, daily rebalancing, multi-asset
OOS Cumulative Return
257.09%
Create your own algorithmic trading strategy with WEBL 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.