Trend Following: What To Check Before Trusting Returns
Trend following is the most studied systematic strategy in modern markets, and one of the most misread. The signal is simple. The implementation is where almost all the variation in live returns lives, and where investors trying to evaluate a manager from the outside tend to get lost.
In 2024, the SG Trend Index closed at roughly +2.4% for the year. That headline number conceals a range of returns of nearly 15% between the best and worst constituent, across only ten trend programs that meet the index’s selectivity criteria. The same broad strategy, run by ten experienced managers across broadly similar markets, produced fifteen percentage points of dispersion in a single year. That fact is the trend following category in miniature.
For an investor evaluating a trend allocation, the implication is direct. The benchmark return tells you almost nothing about what an individual manager will deliver. The questions worth asking are about implementation specifics: speed, market set, risk allocation, drawdown discipline. Those are the variables that separate the strong manager from the weak one in the same year, on the same strategy.
The signal is old. Reading it correctly is not.
What trend following actually does in modern markets
Trend following is not a market-timing strategy. It is a structural exposure to the persistence of price moves across a broad set of markets, sized and rebalanced systematically. The shorthand “buy high, sell low” describes a disciplined process that adds to positions as a trend extends and reduces them when it weakens, applied consistently across futures contracts in equities, fixed income, currencies, and commodities.
Two things worth being clear on. The strategy does not require predicting where markets are going. The system takes positions in response to what is already happening, with rules that close losing positions quickly and let profitable ones extend. The diversity of markets is the structural source of the return profile. A trend in any single market tends to be unreliable. The portfolio of trends across forty or sixty markets, weighted and risk-scaled, is what produces the long-run profile that investors associate with the category.
The 2022 environment is the cleanest recent illustration. While the S&P 500 fell approximately 18% over the year, the SG Trend Index returned roughly 27%. That divergence was not the result of insight into where rates or commodities would go. It was the natural output of a system positioned short fixed income and long energy as those trends developed, and holding those positions while the equity market drew down. The category’s value as a portfolio diversifier depends on that kind of structural behavior, not on tactical genius.
Why two managers running trend can produce wildly different returns
The dispersion within the trend-following category is structural. Four implementation variables explain most of it.
- The first is speed. Some trend programs use moving averages with horizons of 20 to 60 days. Others run signals at 120 days or longer. In 2024, slower trend models meaningfully outperformed faster ones because changing monetary-policy expectations broke up the medium-term trends in fixed income and currencies. The same year, the August equity drawdown caught faster systems offside while slower systems had not yet fully re-entered. Speed is not a stylistic preference. It is the dominant explanatory variable for short-term dispersion across managers running the same strategy.
- The second is market set. A trend program focused on commodities and short-rate futures behaves nothing like one weighted toward equity indices and developed-market FX. Both call themselves trend following. Their realized return profiles correlate weakly. The strongest trend operations are explicit about market diversity as the source of edge. Florin Court Capital, recognized at the 2024 Hedge Fund Journal CTA awards for performance in alternative markets, has built its program specifically on breadth into less-traded markets that larger CTAs cannot easily replicate.
- The third is the proportion of risk allocated to non-trend complementary content. Many serious trend operations now run a satellite carry allocation to provide some return continuity during whipsaw markets. The size of that allocation varies. Some run zero non-trend content. Others run twenty to thirty percent. The choice changes the return profile materially.
- The fourth is risk allocation methodology. Fixed volatility targeting and dynamic risk scaling produce different responses to changing market conditions. Both are defensible. Both produce different live returns.
- They can describe the speed parameter of their core models and why it suits their target return profile
- They are explicit about which markets are in their universe and which deliberately are not
- They disclose the proportion of risk allocated to non-trend content rather than presenting the program as pure trend
- They have a specific answer for how their system behaved in 2024, a year that exposed weaker calibrations
When trend following pays, and when it does not
The strategy’s value to a portfolio rests on a specific behavioral pattern, not on absolute return. Trend following tends to produce its strongest contribution when traditional risk assets struggle for sustained periods. Research from Quantica Capital, decomposing SG Trend Index returns over more than two decades, shows a structural negative crisis beta. The strategy’s contribution is largest in the worst calendar quarters for equities and smallest in the best.
That asymmetry is why trend appears in serious institutional portfolios. It is also why it can be deeply frustrating in normal markets. In 2025 year-to-date through mid-May, the SG Trend Index was down approximately 9.3%, while several short-term CTA programs that adapted faster to a more volatile market regime posted positive returns. The same period that rewarded one form of systematic discipline punished another.
This is the central tension for trend allocations. The strategy’s defining strength is patience through quiet markets in exchange for outsized contribution in stressed ones. That same strength is its primary friction with investors who measure short-window relative performance. Two-thirds of the time, the allocation will look like an unnecessary line item. The remaining third is what justifies it.
“Investors who add trend after a strong year and remove it after a weak one reliably underperform investors who hold the allocation through both. The behavioral discipline required from the holder is the mirror of the discipline required from the manager.”
SG Trend Index annual constituent dispersion. Algotrader.ch, 2026.
From the field: questions to ask before allocating to trend following
The headline performance number is the wrong starting point for evaluating a trend manager. It compresses too many implementation choices into one figure. From the conversations we have had with investors working through trend allocations, four areas tend to separate selections that hold up from selections that produce regret.
- “Our strategy works in all market environments” → “Our strategy underperforms in choppy, range-bound markets. Here is what 2024 looked like for us specifically”
- “We use proprietary machine learning to enhance the signal” → “Our edge is market diversity and execution discipline. The signal itself is well-known”
- “Performance has been consistent” → “Here is when we drew down, what caused it, and what we did or did not change afterward”
- “We trade all major markets” → “Here is our market set, here is our reasoning for inclusion, here is our capacity in each“
The pattern that emerges across those conversations is consistent. Managers who can describe their failure mode in specific detail are almost always running better processes than managers who claim to handle every market well. The reverse is also reliably true. A manager whose deck contains no description of when their system underperforms is showing you what they do not know about their own system.
Going further with trend following selection
Trend following is the systematic strategy with the longest live track record and the largest body of public research. That makes it both well-understood and routinely misallocated. The benchmark indices give you category exposure. The implementation choices are what determine whether you receive the benefit of the category in your actual portfolio.
Later in 2026, The Algo & Quant Review on this site will publish structured profiles of trend-following programs, assessed on regime adaptability, manager dispersion against the SG Trend Index, drawdown discipline, and capacity governance. If you are evaluating a specific manager now and want a structured outside perspective, the concierge conversation is open.