This episode is a systematic-investor roundtable focused on trend following, CTA portfolio construction, and recent market regime shifts. Rob Carver argues that trend followers should stay simple, avoid overfitting, and think carefully about whether strategy tweaks are actually improving the full portfolio or just fitting recent history.
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This episode is a wide-ranging “Systematic Investor” conversation between the host and Rob Carver that centers on how trend-following portfolios behave, how to evaluate strategies, and how current market and policy changes may affect CTAs. The core thesis is that trend following remains a valuable source of diversification, but investors should be skeptical of overcomplicating it with path-risk metrics, regime-chasing, or AI-generated ideas that are not rigorously validated. Carver repeatedly returns to a process-first view: know why a strategy exists, know what role it plays in the portfolio, and only change it when there is strong statistical evidence that the edge has broken. The discussion opens with broad market context: Middle East peace-deal headlines, oil flow implications, a hawkish Fed transition, and the idea that markets may already have priced the optimistic scenario. …
Tactically, trend-following looks mixed and somewhat fragile right now, with weak barometer readings and a market still digesting hawkish Fed signals, oil repricing, and headline risk around geopolitics. The cleanest near-term opportunities appear where strong single-market trends are already established rather than in broad, crowded risk-on exposure.
Over the next few months, the most likely path is an uneven trend environment where commodities matter more than financials if macro dispersion stays high. The key question is whether the current commodities-led regime persists or whether rates and equities regain enough direction to broaden trend breadth.
The structural message is that durable trend performance comes from owning a wide set of genuinely different markets, especially commodities, not from optimizing around recent winners. Over time, the bigger edge should come from portfolio design and research discipline than from chasing the latest signal or product structure.
Skew is the most useful single metric for deciding whether to add or remove strategy components, especially when combining trend with carry-like approaches.
He says skew is his favorite lens because it helps classify strategies into buckets, particularly negative-skew versus other strategies, even though he would not use it as a formal composite metric.
A better portfolio construction approach is to diversify across truly uncorrelated markets, especially commodities, rather than relying on a few traditional asset classes.
The speaker argues that true diversification means holding as many uncorrelated markets as possible and explicitly cites commodities as part of that philosophy.
The safest way to use AI in trading research is to have it generate ideas, then subject those ideas to a robust non-AI testing process.
He argues that the AI role should stop at idea generation and that the crucial safeguard is a robust independent process for testing and implementation.
How are things in the UK, and is summer finally there?
Rob says summer has arrived, the sun is shining, and England’s World Cup win has lifted the mood. He adds that he is not a huge football fan, but the tournament makes him follow along a bit.
What has been interesting in markets lately?
Rob points to the Middle East peace deal and its possible market effects through crude flows, though he says markets may already have priced in an optimistic outcome. He also highlights SpaceX and the debate over whether index providers are relaxing rules to include it, and notes the Fed chair change and its limited impact so far because inflation remains sticky.
Could changes to Fed data releases affect systematic macro or trend-following strategies?
Rob says yes, especially for strategies that use economic indicators or other government data as inputs. He argues the quality of US statistics has already deteriorated, that less transparency is worrying, and that losing raw data would be a problem both for the economy and for trading processes, though pure price-based trend followers would not care.
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