iShares U.S. ETF Trust iShares GSCI Commodity Dynamic Roll Strategy ETF
Snapshot*
Top 10 Holdings
What is COMT?
The Fund seeks to track the investment results of the S&P GSCI Dynamic Roll (USD) Total Return Index (the Underlying Index ), which measures the performance of futures contract ssuch as aluminum, Brent crude oil, cocoa, coffee, copper, corn, cotton, gasoil, feeder cattle, gold, heating oil, leanhogs, lead, live cattle, natural gas, nickel, silver, soybeans, sugar, unleaded gasoline, wheat, West Texas Intermediate crude oil and zinc. TheUnderlying Index is rebalanced on anannual basis.
COMTPerformance Measures**
for the time period Oct 16, 2014 to Aug 6, 2026
1M Trailing Return: 6.0%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -6.1%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -51.9%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 19.3%
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: 0.26
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 toCOMT
ETFs correlated to COMT include GSG, DBC, PDBC
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 toCOMT
C-DTMS (Longer Backtest Mod) - 24May2019
Category
Tactical allocation, leveraged ETFs, sector rotation, trend-following, mean reversion, volatility hedging, bonds, commodities, managed futures
OOS Cumulative Return
372.47%
Aggressive Battleship III/ Sort WM 74
Category
Tactical allocation, trend-following, momentum, multi-asset, leveraged ETFs, crash hedging, commodities, volatility filter
OOS Cumulative Return
280.6%
Create your own algorithmic trading strategy with COMT 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.