Invesco Actively Managed Exchange-Traded Commodity Fund Trust Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
Snapshot*
Top 10 Holdings
What is EVMT?
The Electric Vehicle Metals Commodity Strategy No K-1 ETF (Fund) is an actively managed exchange-traded fund (ETF) that seeks to achieve its investment objective by investing in commodity-linked futures and other financial instruments that provide exposure to a diverse group of metals commonly used to produce electric vehicles (EV). The Fund seeks to provide long-term capital appreciation using an investment strategy designed to exceed the performance of the S&P GSCI Electric Vehicle Metals Index, which tracks commodities used in manufacturing of electric vehicles. The Fund specifically focuses on the upstream components (raw materials and supplies) of the EV global manufacturing process which include cobalt, aluminum, nickel, iron ore and copper.
EVMTPerformance Measures**
for the time period Apr 27, 2022 to Jul 16, 2026
1M Trailing Return: -3.7%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -5.2%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -48.4%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 20.4%
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: -0.28
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: -0.15
The annualized return divided by the max drawdown for the selected time period.
ETFs related toEVMT
ETFs correlated to EVMT include DBB, CPER, COPX
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 toEVMT
Robots
Category
AI, robotics, momentum, thematic, tactical allocation, commodities, precious metals, credit hedge
OOS Cumulative Return
-3.05%
Create your own algorithmic trading strategy with EVMT 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.