How one trend-following fund outperformed rivals by bringing humans back into the decision-making process

Trend-following strategies are typically fully systematic: models set positions, and managers are expected to let the signals run. This fund's decision to layer human judgement on top of that process — specifically, to take profits rather than mechanically ride trends — is what separated its returns from peers this year, according to the report.

The development matters because it touches a long-running debate in quantitative investing: whether discretionary overlays add value or simply break the discipline that makes systematic strategies work. In this instance, the human intervention appears to have helped, but a single year of outperformance is a small sample. Timing exits well is difficult to repeat, and the same judgement that locks in gains can also cut winners short.

What to watch is whether the approach holds up across different market regimes, and whether investors treat one strong year as evidence of skill or as a reminder that systematic and discretionary styles each carry distinct risks.