Snapshot*
Top 10 Holdings
What is USL?
The investment objective of USL is to have the changes in percentage terms of the units net asset value reflect the changes in percentage terms of the price of light sweet crude oil delivered to Cushing Oklahoma as measured by the changes in the average of the prices of 12 Futures Contracts on crude oil traded on the New York Mercantile Exchange (the Benchmark Futures Contracts) consisting of the near month contract to expire and the contracts for the following eleven months for a total of 12 consecutive months contracts except when the near month contract is within two weeks of expiration in which case it will be measured by the futures contracts that are the next month contract to expire and the contracts for the following eleven consecutive months less USLs expenses. When calculating the daily movement of the average price of the 12 contracts each contract month will be equally weighted.
USLPerformance Measures**
for the time period Dec 7, 2007 to Dec 4, 2025
1M Trailing Return: -1.5%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -4.5%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -89.1%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 32.2%
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: 0.10
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: -0.02
The annualized return divided by the max drawdown for the selected time period.
ETFs related toUSL
ETFs correlated to USL include UCO, OILK, USO
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 toUSL
Layered Risk Algorithm - Primary Risk Appetite Test = European Financials ETF vs. Insurance ETF
Category
Regime-switching, multi-asset, risk-on/off, volatility-aware, trend+mean reversion, commodities & currencies, daily rebalanced, uses leveraged/short ETFs
OOS Cumulative Return
32.21%
Ultimate Portfolio
Category
Multi-asset tactical, trend-following, momentum/mean-reversion, sector rotation, commodities curve, volatility regimes, leveraged/inverse ETFs, daily rebalance
OOS Cumulative Return
29.06%
Create your own algorithmic trading strategy with USL 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.