Snapshot*
Top 10 Holdings
What is AIEQ?
The AI Powered Equity ETF seeks long-term capital appreciation within risk constraints commensurate with broad market US equity indices. The fund applies proprietary analytical algorithms to artificial intelligence (AI) technology, which can process over one million pieces of information per day, to build predictive financial models on approximately 6,000 U.S. companies. The technology continually analyzes data and models in its active stock selection process, and derives an optimal risk adjusted portfolio consisting of 30 to 70 companies with high opportunities for capital appreciation. The fund is actively-managed and discloses all portfolio holdings daily.
AIEQPerformance Measures**
for the time period Oct 18, 2017 to Aug 27, 2026
1M Trailing Return: 3.1%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 2.2%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -39.0%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 22.4%
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: 0.54
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: 0.26
The annualized return divided by the max drawdown for the selected time period.
ETFs related toAIEQ
ETFs correlated to AIEQ include VXF, VBK, KOMP
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.
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.