Snapshot*
Top 10 Holdings
What is DBMF?
The Fund is a non-diversified actively-managed exchange-traded fund ( ETF ) that does not seek to replicate the performance of a specific index. Rather, the Fund seeks to achieve its objective by: (i) investing its assets pursuant to managed futures strategy (described below); (ii) allocating up to 10% of its total assets in its wholly-owned subsidiary (the Subsidiary ), which is organized under the laws of the Cayman Islands, is advised by the Sub-Adviser (as defined herein), and will comply with the Fund s investment objective and investment policies; and (iii) investing directly in select debt instruments for cash management and other purposes. The Fund s managed futures strategy employs long and short positions in derivatives, primarily futures contracts and forward contracts, across the broad asset classes of equities, fixed income, currencies and, through the Subsidiary, commodities. Fund positions in those contracts are determined based on a proprietary, quantitative model the Dynamic Beta Engine that seeks to identify the main drivers of performance by approximating the current asset allocation of a selected pool of the largest commodity trading advisor hedge funds ( CTA ),
DBMFPerformance Measures**
for the time period May 8, 2019 to Dec 4, 2025
1M Trailing Return: 2.2%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 9.6%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -20.4%
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: 0.69
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: 0.40
The annualized return divided by the max drawdown for the selected time period.
ETFs related toDBMF
ETFs correlated to DBMF include TBX, PST, KMLM
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 toDBMF
BEAST MODE - v2 fund surfing custom plus TQQQ custom | SHARED
Category
Tactical rotation, leveraged tech, inverse hedges, volatility filters, trend + mean reversion, Treasuries, managed futures
OOS Cumulative Return
548.06%
V 1.0.0 | 🦠 Dividend Slime | 🧪 Proteus 🧬 | Daily | BT March 30 2022 | 2934% AR, 9.7% MD, 48.5 std. dev, 7.36 Sharpe (Dec13-2022)
Category
Daily tactical, leveraged ETFs, trend following, mean reversion, volatility hedging, managed futures, regime switching
OOS Cumulative Return
360.73%
Create your own algorithmic trading strategy with DBMF 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.