Graham Capital’s Tactical Trend Fund has delivered a 27% return through the end of August, substantially outpacing its competitors in the systematic investment space. According to data from Société Générale, this performance contrasts sharply with commodity-fund peers, which rose just 10% over the same period, and systematic diversified funds, which gained slightly more than 3%, per Hedge Fund Research (HFR) figures.
The fund’s success stems from a strategic pivot that blends algorithmic trend-following with selective human oversight. Tom Feng, chief investment officer of the firm’s quant strategies product, acknowledged that direct manager intervention played a key role in this year’s gains. Rather than relying exclusively on market signals, Graham Capital integrated profit-taking and stop-loss mechanisms into its decision-making framework, a concept proposed by Ken Tropin, the chairman who founded the firm in 1994.
“Metals had a strong upward movement around the end of January while energy markets shot up in March. We had long positions in both cases and the models actively reduced exposures to lock in more profits through subsequent choppy market environments,” Feng explained. This approach allowed the fund to capitalize on sharp rallies in commodities and energy while mitigating risks during periods of market instability.
Trend-following strategies have historically gained prominence during times of economic stress, such as 2022, when rising interest rates caused both stocks and bonds to decline. Bruno Schneller, managing partner of Erlen Capital Management, noted that these strategies are particularly valuable when traditional diversification fails during crises.
“Systematic macro and trend-following strategies can behave quite differently because their positioning adapts to market environment changes. In sustained periods of dislocation, that ability to participate in both rising and falling markets can provide a source of diversification precisely when a traditional portfolio may need it most,” Schneller said.
In addition to managerial adjustments, Graham enhanced its model with new tactical trend signals and a carry component that tracks interest-rate differentials across currencies. Feng highlighted that momentum persistence remains central to the strategy’s appeal, while choppy or narrow-range markets tend to hinder performance.
The fund, launched in 2006, manages approximately $4 billion of Graham Capital’s total $23 billion in assets. The current market environment—characterized by coordinated rises in oil and commodity prices alongside significant downtrends in global government bonds—has been particularly conducive to trend-based investing.
Feng also noted that past performance challenges, such as the whipsaw effects seen in April 2025, provided opportunities for talent acquisition. During industry-wide dips, Graham was able to hire AI specialists, leading to what Feng described as “prolific model development” that continues to drive outperformance.
Despite the strong eight-month return, Feng confirmed that September remained another “solid month,” suggesting continued momentum for the fund.
Glad they hired AI specialists during the downturn. Hiring during panic is always a smart long-term play.
Finally, someone admits algorithms need babysitting. A refreshing take in a world obsessed with black-box trading systems.
The metal and energy timing sounds lucky. Does this strategy hold up in a flat market without sharp trends?
27 percent? I need to see the risk-adjusted numbers before buying this narrative. Volatility could bite back in October.
Interesting that human judgment actually beat the bots here. Maybe we overrated pure automation after all.