Snapshot*
Top 10 Holdings
What is LRNZ?
LRNZ is an actively-managed exchange-traded fund ( ETF ) that seeks total return by investing in companies that its Sub-Advisor believes have a competitive advantage with respect to the development and utilization of artificial intelligence, machine learning, or other deep learning technologies. Companies within LRNZ reflect the Sub-Advisor s belief that the most significant AI corporate growth or hyper-growth opportunities will develop in one of four areas: Data, Hardware, Algorithms, Sophisticated AI Users (Cloud computing, cyber security, medical research etc.) Portfolio construction also revolves around Black Hill Capital s core philosophy that technology sectors are a winner take all environment and new tech cycles will eventually produce one segment winner .
LRNZPerformance Measures**
for the time period Mar 2, 2020 to Aug 6, 2026
1M Trailing Return: -2.6%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 25.6%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -61.3%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 37.7%
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: 0.56
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: 0.24
The annualized return divided by the max drawdown for the selected time period.
ETFs related toLRNZ
ETFs correlated to LRNZ include WCLD, SKYY, THNQ
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.