Snapshot*
Top 10 Holdings
What is MARZ?
The TrueShares Structured Outcome ETF Series utilizes a buffer protect options strategy, that seeks to provide investors with returns (before fees and expenses) that track those of the S&P 500 Index while seeking to provide an 8-12% downside buffer (with the advisor targeting 10%) on the first of that index s losses over a 12-month investment period. The MARZ defined investment period begins on July 1, 2020 and resets exactly 12 months later. The strategy is implemented through the purchase and sale of options on the S&P 500 Price Index or an ETF that tracks the S&P 500 Price Return Index. While there is no guarantee the Fund will be successful in providing these outcomes in any period, the intent of the ETFs in the series is to provide uncapped equity market upside participation (subject to options pricing) with a measure of downside risk mitigation.
MARZPerformance Measures**
for the time period Mar 1, 2021 to Aug 5, 2026
1M Trailing Return: 2.1%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 5.1%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -18.9%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 12.2%
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: 0.89
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: 0.57
The annualized return divided by the max drawdown for the selected time period.
ETFs related toMARZ
ETFs correlated to MARZ include GAUG, FFEB, PMAR
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.