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Trend Following

trend-followingLevel 2 — Intermediate

What It Is

A systematic strategy that buys assets exhibiting upward price momentum and sells (or shorts) assets in downtrends, across a diversified universe of futures markets (equity indices, bonds, commodities, currencies). Generates crisis alpha by naturally becoming short equities during sustained equity bear markets.

Correct Execution

Rules are fully defined before execution: lookback period(s) for trend signal, universe of markets, position sizing (typically volatility-targeted), rebalance frequency. The strategy is diversified across 20–80 markets and multiple timeframes to avoid concentration. Entry/exit decisions are mechanical — no discretion allowed. Risk is managed via position-level volatility targeting, not stop-losses.

Progression Levels

Diagnostic Tree

Coaching Cues

  • "Don't add carry to your trend manager and call it diversification." — when evaluating managed futures managers who blend carry and trend
  • "Diversified across markets, diversified across time periods — that's the only robust trend signal." — when designing a trend specification
  • "What did it do in 2008? In 2000-2002? In 1987? Those are your trend credentials." — when evaluating a trend manager's crisis alpha
  • "Is this filter in the system to make it robust, or to prevent last year's loss?" — Eric Crittenden; when evaluating CTA program design
  • "500 markets, 750 markets — keep pushing the frontier. The standard markets are too competed." — Doug Greenig; when evaluating CTA universe expansion
  • "Trend works because hedgers fade it. That economic rationale won't change." — Eric Crittenden; on why trend has been persistent for decades

Common Errors

  1. Confusing trend with momentum: Momentum (cross-sectional, short-horizon) is different from CTA trend following (time-series, medium-horizon, multi-asset) → their performance profiles differ significantly → specify which strategy when evaluating performance.
  2. Adding carry to a trend program: Carry strategies perform well in low-volatility, high-carry environments but collapse in crisis — the same conditions where trend is expected to provide protection → contaminates the crisis alpha property.
  3. Under-diversifying the universe: Running trend on 5 equity indices instead of 40+ across all asset classes → dramatically increases correlation to equities and reduces the diversification benefit → minimum viable universe is ~20–30 markets across 4+ asset classes.
  4. Stopping out at drawdowns: Trend programs have significant drawdowns that are part of the strategy's natural behavior → discretionary exits during drawdowns destroy the long-run return profile → systematic rebalancing only.
  5. Adding filters to solve last cycle's problems: Every filter added after a drawdown introduces degrees-of-freedom costs without rigorous evidence of cross-regime robustness → survivorship bias among successful CTAs shows they run simpler, more diversified programs, not more filtered ones.
  6. Staying in standard CTA markets when they become crowded: When all CTAs trade the same 100-125 markets, correlations compress and Sharpe ratios decline → expand frontier into alternative markets (emerging market rates, electricity, carbon) where directional persistence is higher and competition is lower.

Edges

Conventional Wisdom Is Wrong

Trend Following Is A Bear Market Tool, Not A Crash Tool

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Trend following is marketed as "crisis alpha" and portfolio protection — but it only provides protection during prolonged bear markets (months of sustained decline). For flash crashes and short sharp corrections (COVID 2020, February 2018), trend following provides minimal protection because there is no sustained trend to follow. Practitioners who rely on it for all tail events are wrong about half the time.

What most people do
Allocate to trend following as general portfolio insurance against equity drawdowns. Expect it to protect in all market stress scenarios.
What the best do
Pair trend following with explicit short-duration tail protection (put options, VIX calls) for flash-crash scenarios. Use trend for slow-burn bear markets; use options for sudden crashes. Understand which scenario they are protected against.
Why it's an edge: Prevents the specific disappointment of being in trend following and experiencing no protection during a short sharp correction, which typically causes practitioners to exit trend at exactly the wrong time.
How to exploit: For any portfolio using trend following as tail protection, define the scenario matrix: >6-week equity decline (trend protects), <6-week crash (trend does not protect). Size explicit short-dated put protection to cover the crash scenario independently.
Cross-domain parallel
A running back (trend) dominates a 70-yard drive but doesn't score the touchdown. You still need a receiver (short-duration options) for the red zone play.
Rodrigo Gordillo, "Financial Advisors: Immunize Business Risk," YouTube 2023-11-07
Conventional Wisdom Is Wrong

Simpler CTAs Beat More Filtered Ones Over Time

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After every painful drawdown, CTA managers add filters to prevent that specific scenario from occurring again. Each filter looks logical in isolation. But adding post-hoc filters after drawdowns systematically introduces degrees-of-freedom costs (overfitting to the recent past) and degrades long-run robustness. The empirical record of successful CTAs shows they run simpler, more diversified programs — not more filtered ones.

What most people do
After a painful drawdown, add regime filters, volatility overlays, or correlation screens to prevent that scenario. Each filter is justified by "we won't let this happen again."
What the best do
Remove or resist adding filters unless there is a clear, cross-regime rationale that is independent of the recent drawdown. Ask: does this filter improve the strategy in all market environments, or only in the one that motivated it?
Why it's an edge: Every filter added is a degree of freedom spent. Practitioners who resist post-hoc filtering maintain better out-of-sample properties.
How to exploit: For any proposed new filter, require documentation of: (1) the cross-regime performance impact (not just the recent scenario), (2) the out-of-sample test on the next available data period, and (3) a falsification criterion — under what conditions would you remove this filter?
Eric Crittenden, "All-Weather Portfolios with Trend Following," Flirting with Models S3E7, 2021-04-10
💎 Elite-Only Behavior

Alternative Markets Have Higher Directional Persistence Than Standard CTA Markets

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Standard CTA markets (100-125 equity indices, bonds, currencies, commodities) have become crowded to the point where the trend signal itself has compressed alpha. Alternative markets (emerging market rates, electricity, agricultural, carbon credits) have lower speculator/hedger ratios and are driven more by real economic flows — resulting in better directional persistence and less competition for the signal.

What most people do
Run trend programs on the standard 100-125 CTA markets and accept declining Sharpe ratios as a structural reality.
What the best do
Continuously expand the tradeable universe into genuinely idiosyncratic alternative markets where speculator presence is lower and trend persistence is higher. The structural reason trend works (hedger/speculator dynamics) applies equally in alternative markets — just with less competition.
Why it's an edge: The standard markets have already been competed down. The frontier contains the same structural edge source with materially less crowding.
How to exploit: Identify alternative markets with: (1) real economic hedgers (producers, consumers) who systematically fade price trends, (2) low speculator-to-hedger ratio, (3) minimal CTA presence. Turkish interest rate swaps, European power markets, agricultural commodity futures all qualify. Start small to confirm transaction costs empirically, then scale.
Doug Greenig, "At the Frontier of Trend Following," Flirting with Models S6E11, 2023-07-17
🔑 Hidden Causal Lever

Trend Works Because Hedgers Fade It — That Economic Rationale Won't Change

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The structural reason trend-following persists for decades is that physical hedgers (commodity producers, currency hedgers) systematically take the other side, providing the "losing" counterparty that funds the premium. This is not a statistical anomaly that can be arbitraged away — it is an economic function (insurance provision) with a permanent counterparty.

What most people do
Worry that trend-following will be "arbitraged away" as more participants enter. Treat the premium as a statistical anomaly that could disappear.
What the best do
Understand that trend-following IS the insurance premium paid by physical hedgers who NEED to hedge regardless of price. As long as commodity producers produce and currency earners earn, the counterparty exists. This conviction sustains allocation through extended drawdowns.
Why it's an edge: Confidence in the mechanism sustains allocation during 2+ year drawdowns that shake out participants who view trend as a statistical artifact. The structural understanding is what prevents the worst mistake: abandoning the strategy during its natural drawdown period.
How to exploit: When trend-following underperforms for 12+ months, check: are physical hedgers still hedging? (Yes — they always are.) Is the mechanism still functioning? If yes, maintain or increase allocation. The drawdown IS the mechanism — hedgers' activity becomes trend profits during the next sustained move.
From Coaching Cues — Eric Crittenden source on hedger counterparty

Sources

  • Rodrigo Gordillo & Corey Hoffstein, "Return Stacking" podcast, 2021-11-15 — trend as crisis alpha, conditional correlation properties
  • "Stacking Returns with Trend Following — Systematic Investor 200" feat. Alan Dunne, YouTube 2022-07-11 — trend in multi-asset context, recent performance discussion
  • "Trend vs. Carry: Understanding Market Agnostic Approaches," YouTube 2024-09-12 — why trend and carry should not be conflated, crisis alpha property
  • Rodrigo Gordillo, "Financial Advisors: Immunize Business Risk," YouTube 2023-11-07 — practical application of trend following in advisor portfolios
  • Eric Crittenden, "All-Weather Portfolios with Trend Following," Flirting with Models S3E7 (2021-04-10) — why trend works (hedger/speculator liquidity provision), filter pitfalls, combining trend with buy-and-hold equities
  • Doug Greenig, "At the Frontier of Trend Following," Flirting with Models S6E11 (2023-07-17) — alternative markets rationale, 500+ market CTA, frontier expansion methodology, why alternative markets have higher directional persistence