Snapshot*
Top 10 Holdings
What is GMOM?
The Cambria Global Momentum ETF (the "Fund") seeks to preserve and grow capital from investments in the U.S. and foreign equity, fixed income, commodity and currency markets, independent of market direction. The Fund intends to target investing in the top 33% of a target universe of approximately 50 ETFs based on measures of trailing momentum and trend. The portfolio begins with a universe of assets consisting of domestic and foreign stocks, bonds, real estate, commodities and currencies.
GMOMPerformance Measures**
for the time period Nov 4, 2014 to Aug 5, 2026
1M Trailing Return: 3.1%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -0.6%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -25.0%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 12.3%
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: 0.53
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: 0.23
The annualized return divided by the max drawdown for the selected time period.
ETFs related toGMOM
ETFs correlated to GMOM include XAUG, STXE, EMC
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 toGMOM
Beta Hedge 3.0
Category
Tactical allocation, risk-on/risk-off, volatility hedge, leveraged ETFs, trend following, mean reversion
OOS Cumulative Return
245%
Wealth Conservation Fund . 05/18/26. C.S.H.
Category
Tactical multi-asset, momentum & mean-reversion, volatility hedging, leveraged ETFs, risk management, bonds, commodities, managed futures
OOS Cumulative Return
-3.71%
Create your own algorithmic trading strategy with GMOM 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.