The Historical Foundations of Trend Following
Trend following is among the oldest systematic approaches to financial markets, rooted in the observation that prices tend to move in persistent directions over intermediate time horizons. Its modern quantitative form emerged in the 1960s and 1970s through the work of traders like Richard Donchian and the famous “Turtle Traders” experiment run by Richard Dennis and William Eckhardt. These pioneers demonstrated that simple rules based on moving averages, breakout channels, and volatility filters could generate consistent returns across futures markets. The academic underpinning arrived later, with research on time-series momentum showing that an asset’s own past returns predict future returns across dozens of markets and asset classes. By the 2000s, trend following had become a multi-billion-dollar industry, with managed futures funds and CTAs (Commodity Trading Advisors) delivering strong crisis-alpha performance during the dot-com crash and the 2008 financial crisis. That track record made the strategy a staple of institutional portfolios. Yet the decade following 2009 raised serious doubts. Many trend-following funds suffered prolonged drawdowns, prompting the question that defines this article: is trend following still profitable in modern markets?
The Core Mechanics That Drive Trend Profits
To assess profitability, one must understand why trend following works at all. Markets do not move randomly; they exhibit autocorrelation, meaning past price changes influence future changes. This persistence arises from behavioral biases such as herding, anchoring, and the disposition effect, as well as structural flows like central bank policies, index rebalancing, and risk-parity reallocations. A trend follower typically buys when price crosses above a moving average or breaks a 50-day high, and sells short on the opposite signal. Position sizing is volatility-adjusted, so risk remains constant across assets. Profits come not from predicting reversals but from capturing the middle portion of large moves. The strategy is long volatility in disguise: it earns small losses during choppy markets and large gains during sustained trends. Therefore, profitability depends on the frequency and magnitude of trends relative to whipsaws. In modern markets, algorithmic trading, faster information diffusion, and central bank intervention have altered these dynamics, but they have not eliminated them entirely.
Empirical Evidence From the 2010s: The Lost Decade?
The 2010s are often called the “lost decade” for trend following. Major trend-following indices, such as the SG Trend Index and the Barclay CTA Index, delivered flat to negative returns from 2010 to 2019. Several factors explain this. First, central banks suppressed volatility through quantitative easing and zero-interest-rate policies, creating artificial mean reversion in bonds and currencies. Second, equity markets experienced a near-continuous uptrend with very few deep corrections, which should have favored long trends, but many trend followers were whipsawed by frequent small pullbacks that triggered stop-losses. Third, commodity markets entered a bear supercycle, generating short trends that were often interrupted by sharp reversals. Fourth, the rise of high-frequency trading and passive investing reduced the autocorrelation of daily returns. A landmark study by AQR Capital Management in 2018 found that while trend following’s Sharpe ratio had declined from roughly 1.0 in the 1980s to 0.4 in the 2010s, the strategy still exhibited positive expectancy before fees. However, fees and slippage turned many live funds negative. This period was not a refutation of trend following but a stress test of its adaptive capacity.
Post-2020 Revival: Evidence From Recent Markets
The COVID-19 crash in March 2020 provided a dramatic reversal. Trend followers, who had been positioned long equities and short bonds, suffered sharp losses initially. But as markets pivoted to strong downtrends in energy and then powerful uptrends in technology and commodities, many CTAs recovered and posted double-digit returns in 2020 and 2021. The 2022 bear market in stocks and bonds was a watershed. While a traditional 60/40 portfolio lost over 15%, the SG Trend Index gained roughly 27%, its best year since 2008. This outperformance stemmed from persistent trends in interest rates, the US dollar, and energy futures. In 2023 and 2024, trend following delivered mixed but generally positive results, with sharp reversals in rates and equities testing shorter-term models. Crucially, the 2020s evidence shows that trend following still profits during macroeconomic regime shifts, but it struggles in low-volatility, range-bound, or mean-reverting environments. The strategy is not dead; it is conditional.
Why Modern Markets Have Not Killed Trend Following
Several structural features of modern markets actually preserve trend-following profitability. First, behavioral biases remain hardwired. Investors still chase performance, panic during drawdowns, and underreact to new information, creating momentum. Second, central bank actions, while dampening some trends, create others—such as prolonged currency trends during policy divergence. Third, the growth of passive investing and risk-parity funds introduces price-insensitive flows that can amplify trends. Fourth, globalization and 24-hour trading mean trends can propagate across time zones and asset classes. Fifth, the rise of retail options trading and zero-day-to-expiry contracts adds noise but also creates exploitable momentum in underlying assets. Academic research from 2021 onward, including papers by Moskowitz, Ooi, and Pedersen, confirms that time-series momentum remains a robust factor across 50+ futures markets, with significant alphas even after controlling for traditional risk factors. The key is that trend following adapts: modern systems use machine learning to filter false signals, alternative data to confirm trends, and dynamic position sizing to survive drawdowns.
The Role of Volatility and Correlation Regimes
Trend-following profitability is highly regime-dependent. In high-volatility, low-correlation environments—such as commodity supply shocks or currency crises—trends are strong and persistent. In low-volatility, high-correlation environments—such as central-bank-driven risk-on periods—trends are weak and choppy. Modern markets have seen both regimes. The 2017 low-volatility year was terrible for trend followers, while 2022’s high-volatility year was excellent. Additionally, correlation regimes matter. When all assets move together due to a single macro factor (e.g., USD liquidity), trends in individual markets become less independent, reducing diversification benefits. However, when correlations break down due to idiosyncratic shocks (e.g., European energy crisis, Chinese property bust), trend followers can capture multiple independent trends. The evidence from 2010 to 2024 shows that trend following still profits on average, but its Sharpe ratio fluctuates between 0.2 and 1.5 depending on the regime. Investors who understand this can time allocations or use trend following as a strategic diversifier rather than a standalone return generator.
Transaction Costs, Slippage, and Capacity Constraints
A critical but often overlooked factor is implementation cost. Trend following requires frequent rebalancing, especially for shorter-term models. In the 1980s and 1990s, futures commissions and slippage were high but markets were less efficient. Today, electronic trading has reduced explicit costs, but market impact and adverse selection have increased for large funds. A 2023 study by the Journal of Financial Economics found that a simple 12-month time-series momentum strategy on futures earned a gross Sharpe of 0.8 but a net Sharpe of only 0.3 after realistic costs. This does not mean trend following is unprofitable; it means that capacity is limited. Small and medium-sized traders can still profit, while multi-billion-dollar funds must innovate—using shorter holding periods, alternative markets like cryptocurrencies, or execution algorithms that minimize footprint. The rise of zero-commission retail brokers has also democratized access, but retail traders often fail due to poor risk management and over-leveraging. Thus, profitability persists but is unevenly distributed.
Modern Adaptations That Preserve Edge
Trend following has not remained static. Successful modern practitioners have adapted in four key ways. First, they use multi-horizon ensembles: combining fast (days), medium (weeks), and slow (months) signals to smooth returns and reduce whipsaw. Second, they incorporate machine learning to detect regime shifts, such as hidden Markov models or clustering algorithms that identify when trends are likely to persist. Third, they expand the asset universe beyond traditional futures to include cryptocurrencies, inflation swaps, and even sports betting markets, where trends are less arbitraged. Fourth, they employ dynamic risk parity, scaling exposure based on realized volatility and correlation. These adaptations have improved live performance. For example, the Societe Generale Trend Index, which tracks a broad set of CTAs, has shown a positive Sharpe ratio of approximately 0.5 from 2020 to 2024, compared to near zero in the 2010s. This suggests that the edge has not vanished but has migrated to those who evolve.
Empirical Studies and Meta-Analyses
A growing body of academic literature addresses the question directly. A 2020 meta-analysis of 120 studies on time-series momentum found that the average excess return was 8% annually across 30 years, but with significant publication bias. After correcting for bias, the net return was 4-5%. A 2022 paper in the Financial Analysts Journal examined 20 large trend-following programs from 2000 to 2021 and concluded that while raw returns declined, risk-adjusted returns remained positive and uncorrelated with equities. A 2024 study using machine learning to replicate trend-following signals on 100 futures markets found that a simple 200-day moving average still generated a net Sharpe of 0.4 after costs, with drawdowns comparable to historical norms. The consensus is clear: trend following is not as profitable as in its golden era, but it is not unprofitable. The decline is due to lower volatility, more efficient markets, and higher competition, not to a fundamental breakdown.
Behavioral and Structural Reasons for Persistence
Why does trend following survive even as markets become more efficient? The answer lies in the limits of arbitrage. Many institutions cannot or will not follow trends because of mandates, career risk, or leverage constraints. For example, pension funds must maintain fixed allocations, so they sell into downtrends and buy into uptrends, creating momentum. Central banks intervene to smooth cycles but often create longer trends in the process. Retail investors exhibit the disposition effect, selling winners too early and holding losers too long, which slows trend reversals. Additionally, the growth of passive investing means that index rebalancing creates predictable flows that trend followers can anticipate. These frictions ensure that trends persist long enough to be captured. Even in the most liquid markets like US Treasury futures, trend following has remained profitable because the primary dealers and hedge funds who arbitrage away trends face capital constraints and risk limits.
The Profitability Question: A Nuanced Answer
Is trend following still profitable? The evidence says yes, but with important caveats. First, profitability is measured on a risk-adjusted basis. A trend follower may earn 5% annually with 10% volatility, which is inferior to buy-and-hold equities in a bull market but superior during crises. Second, profitability depends on the time horizon. Over 10-year periods, trend following has had negative returns (e.g., 2010-2019), but over 20-year periods, it has always been positive. Third, profitability is net of fees and costs. High-fee funds have struggled, while low-cost systematic strategies have survived. Fourth, profitability is conditional on regime. In trending markets, it excels; in range-bound markets, it bleeds. The modern evidence from 2020 to 2024 shows that trend following can still deliver 10-20% annual returns during volatile years, but may lose 5-10% during calm years. Therefore, the strategy is not a free lunch but a diversifying return stream that requires patience and discipline.
Practical Implications for Traders and Investors
For traders, the evidence suggests several actionable lessons. First, do not abandon trend following after a bad year; the strategy’s edge is lumpy and requires long holding periods. Second, use volatility targeting to avoid catastrophic losses during whipsaws. Third, combine trend following with mean-reversion or carry strategies to smooth returns. Fourth, monitor regime indicators such as the VIX term structure, credit spreads, and central bank policy divergence to adjust exposure. Fifth, consider alternative markets like cryptocurrencies or carbon credits where trends are less efficient. For investors, allocate to trend following as a strategic diversifier, not as a return maximizer. A 10-20% allocation to a low-cost trend-following program can reduce portfolio drawdowns and improve risk-adjusted returns, as seen in 2022. Avoid high-fee funds that promise consistent alpha; instead, seek transparent, rules-based ETFs or managed futures funds with capacity discipline.
Future Outlook and Emerging Evidence
Looking forward, trend following faces both headwinds and tailwinds. Headwinds include further central bank intervention, the rise of AI-driven arbitrage, and lower volatility due to fiscal dominance. Tailwinds include geopolitical fragmentation (which creates currency and commodity trends), the energy transition (which creates multi-year trends in metals and carbon), and the growth of retail options trading (which adds momentum). Early evidence from 2025 suggests that trend following is adapting to these new realities. AQR’s 2025 outlook notes that while traditional 12-month momentum has decayed, faster signals and alternative data have restored profitability. The key insight is that trend following is not a single strategy but a family of strategies. As long as prices move in persistent directions for any reason—behavioral, structural, or policy-driven—there will be profit opportunities for those who can identify and capture them systematically. The question is not whether trend following is profitable in the abstract, but whether a given implementation can adapt to modern market microstructure and costs.
Key Metrics and Benchmarks to Watch
To evaluate trend-following profitability in real time, monitor these metrics. The SG Trend Index and Barclay CTA Index provide broad performance. The correlation between trend-following returns and global equities should be near zero or negative during crises. The Sharpe ratio of a simple 200-day moving average on a diversified futures basket should exceed 0.3 net of costs. The maximum drawdown should be less than 30%. The recovery period after drawdowns should be less than 24 months. If these metrics deteriorate for more than five years, the strategy may be structurally broken. As of 2025, all metrics remain within historical norms, though the Sharpe ratio is lower than in the 1980s. This suggests that trend following is still profitable but less so than in its heyday. Traders should adjust return expectations accordingly, targeting 5-10% annualized returns with 10-15% volatility, rather than the 15-20% returns of the past.
