Snapshot*
Top 10 Holdings
What is COM?
The Direxion Auspice Broad Commodity Strategy ETF seeks to provide total return that exceeds that of the Auspice Broad Commodity Index over a complete market cycle. The Direxion Auspice Broad Commodity Strategy ETF seeks to provide investors with an opportunity to take advantage of rising commodity prices, in addition to mitigate risk by going flat (cash) when individual commodities are experiencing downward trends. It seeks to potentially provide commodity investment returns with lower risk characteristics than long-only commodity strategies.
COMPerformance Measures**
for the time period Mar 30, 2017 to Dec 4, 2025
1M Trailing Return: 2.8%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 6.9%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -16.0%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 9.6%
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: 0.64
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: 0.36
The annualized return divided by the max drawdown for the selected time period.
ETFs related toCOM
ETFs correlated to COM include FTGC, USCI, GLTR
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 toCOM
C-DTMS (Longer Backtest Mod) - 24May2019
Category
Multi-asset, sector rotation, trend + mean reversion, volatility filter, leveraged ETFs, bonds, commodities, hedged equity
OOS Cumulative Return
187%
V1 BWC SPY Volatility Focus — Anti-Beta — Low Correlation
Category
Volatility timing, trend & momentum, anti-beta, market-neutral, commodities, gold, T-bills, energy, low correlation, daily tactical
OOS Cumulative Return
165.88%
Create your own algorithmic trading strategy with COM 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.