CTA vs KMLM: Weighing Two Managed Futures ETFs

Key Takeaways

• CTA is an actively managed futures strategy charging a 0.75% net expense ratio, while KMLM is an index-based strategy with a 0.90% expense ratio — a meaningful cost gap in a return-harvesting category.
• Both funds pursue "managed futures" (systematic long and short positions in commodity, currency, and fixed-income futures), but CTA emphasizes commodities and interest rates, whereas KMLM adds explicit global currency and bond futures exposure.
• CTA is the larger and more liquid vehicle, with roughly three times the assets under management (AUM, the total market value of fund assets) of KMLM.
• KMLM offers full rules-based transparency through the KFA MLM Index, while CTA relies on proprietary systematic models managed by a specialized sub-adviser.
• Tickeron AI Verdict: CTA is the favored ticker, driven by lower cost, greater scale, and stronger liquidity relative to KMLM.

Why Managed Futures Are Back in Focus

Managed futures have regained investor attention as a portfolio diversifier that can potentially profit during equity drawdowns. Both CTA and KMLM sit in this same corner of the alternative-investment universe, using trend-following (systematically buying assets that are rising and selling those that are falling) across futures markets. They are direct competitors targeting identical investor goals: absolute returns with low correlation to stocks and bonds. This comparison clarifies how two funds with similar labels differ in structure, cost, and exposure, helping investors judge which better fits their portfolio in the current environment. From what I see, the cost difference alone is worth examining closely.

Simplify Managed Futures Strategy ETF (CTA) at a Glance

CTA is an actively managed exchange-traded fund (ETF, a basket of securities trading like a stock) that seeks long-term capital appreciation by taking long and short positions in commodity, interest-rate, and currency futures. It does not track a benchmark; instead, it deploys systematic models designed by Altis Partners, a commodity trading adviser (CTA, a professional manager of futures portfolios). I also checked this using Tickeron’s AI Screener to see how the fund stacks up against peers in the category.

The fund holds roughly 30 to 38 positions, but its exposure is dominated by futures contracts and cash-management vehicles. Top holdings typically include the Simplify Government Money Market ETF, U.S. Treasury bills, and commodity contracts such as Brent crude, copper, soybean meal, and heating oil futures. Because futures require collateral rather than full cash outlay, reported weights can exceed 100% of net assets. The net expense ratio is 0.75%, and the fund has grown to more than $1.3 billion in assets under management. This scale supports a relatively tight bid-ask spread and healthy trading volume, enhancing its liquidity profile.

KraneShares Mount Lucas Managed Futures Index Strategy ETF (KMLM) at a Glance

KMLM is a passively managed ETF that seeks to track the KFA MLM Index, a rules-based portfolio of twenty-two liquid futures contracts spanning commodities, currencies, and global fixed income. Its trend-following methodology positions long in markets with positive momentum and short in those with negative momentum, sizing positions using relative historical volatility.

The fund holds roughly 23 positions, with top exposures frequently including U.S. Treasury bills, Australian dollar and other currency futures, and commodity contracts such as live cattle, copper, gasoline, wheat, and crude oil. It also carries meaningful short positions in global sovereign bond futures, including Japanese, German, and Canadian government bonds. The fund carries a 0.90% expense ratio and is classified as non-diversified (meaning it is not required to spread holdings across issuers as widely as a diversified fund). With assets under management near $400–500 million, KMLM is smaller and less liquid than CTA, though it has a longer operating history dating to December 2020.

Industry and Thematic Backdrop

Managed futures funds are drawing capital as investors seek tools that are uncorrelated to traditional stocks and bonds. Persistent questions around inflation, interest-rate policy, and commodity supply have created trend-rich conditions across energy, metals, agriculture, and global bond markets — precisely the inputs these strategies trade. Both funds benefit from elevated cross-asset volatility, which tends to create durable price trends. At the same time, the category carries risks: choppy, range-bound markets can whipsaw trend-following models, generating losses even when equities are calm. Regulatory scrutiny of derivatives-based ETFs and rising fee competition are also shaping how issuers position these products.

Performance and Positioning Comparison

In recent weeks and months, both funds have reflected the broad tailwinds for systematic trend strategies, with managed futures generally performing well amid persistent commodity and currency momentum. Their relative positioning, however, differs. CTA has leaned into commodity and interest-rate futures, while KMLM has layered in explicit currency and global sovereign-bond exposure, including notable short positions in developed-market bonds. This gives KMLM a somewhat different risk profile tied to currency and global rate moves. On cost, CTA retains a structural advantage at 0.75% versus 0.90%, which compounds over time in a strategy where returns are earned incrementally. CTA's larger AUM and tighter trading spreads also support more efficient execution, an important consideration for frequent traders. One thing that stands out is how these small differences can add up for longer-term holders.

Using Tickeron’s AI Tools in My Research

In my own analysis, I rely on Tickeron’s AI-powered tools to quickly compare structural features like expense ratios, AUM, and liquidity across similar ETFs. The platform’s pattern recognition and screening capabilities help surface relative strengths without replacing deeper fundamental review. It has become a regular part of how I cross-check ideas before forming a view on allocations.

Tickeron AI Verdict

Weighing structural strength, cost efficiency, diversification, and liquidity, Tickeron's AI would currently favor CTA over KMLM. CTA offers a lower net expense ratio, materially larger assets under management, and tighter trading spreads, all of which support a more efficient ownership experience. Its active, model-driven approach provides tactical flexibility across commodities and rates. KMLM remains a strong, transparent, index-based alternative with valuable currency and global bond exposure, but its higher cost and smaller scale place it at a relative disadvantage. This assessment reflects observable structural factors rather than any prediction of future returns.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

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Contributor

Sergey Savastiouk|Expert

Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.

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