TrendPilot · ETF Trend Trading Systems

Category: Trend Following

  • Managed Futures ETFs: Trend Following Across Futures

    Managed futures ETFs give ordinary investors access to a systematic trend-following strategy that trades futures across commodities, currencies, and interest rates. They package what used to require a hedge fund into a single exchange-traded fund.

    What are managed futures ETFs?

    These funds run a rules-based trend-following model across futures markets. The idea is simple and old: when a market is trending, the model takes a position in the direction of the trend, long or short. Because futures can be shorted as easily as bought, the strategy can profit in falling markets too. That gives managed futures their main selling point: returns that are largely uncorrelated with the stock market.

    The main funds

    Fund Ticker Expense ratio Approach
    iMGP DBi Managed Futures Strategy DBMF 0.85% Replicates a broad CTA index
    KraneShares Mount Lucas Managed Futures KMLM 0.90% Directly tracks a trend-following index
    Simplify Managed Futures Strategy CTA 0.76% Dynamic long/short across futures

    Expense ratios as of August 2026. Verify current fees before investing.

    How they differ from equity trend ETFs

    An equity trend ETF like PTLC follows one stock index and moves to cash when the trend breaks. A managed futures ETF trades many markets at once and can go short, so it is not just a stock strategy with a filter. That broader, long/short mandate is what produces the low correlation investors buy them for. See trend following ETFs for the equity side of the same idea.

    What to compare before you choose

    • Expense ratio. Managed futures ETFs run 0.76% to 0.90%, which is high by index-fund standards. It is the price of an actively run futures book.
    • Markets traded. Some track a broad basket of commodities, currencies and rates; others tilt toward certain markets. The mix shapes how the fund behaves.
    • Liquidity and size. Larger funds tend to have tighter spreads, which matters if you trade in and out.
    • Correlation. The whole point is diversification, so check how the fund has moved relative to the rest of your portfolio rather than chasing its recent return.

    What to expect

    Managed futures shine in sustained trends and can do well when stocks fall, but they grind sideways or lose money in choppy markets and lag strong bull markets. They are a satellite holding for diversification, not a core position. As with any trend strategy, the risks are real, and you should test honestly before trusting any rule.

    FAQ

    What is the best managed futures ETF?

    There is no single best. DBMF is the largest and most liquid, KMLM is the only one that directly tracks an index, and CTA has the lowest expense ratio of the three. The right pick depends on what you prioritize.

    What are managed futures ETFs?

    Managed futures ETFs are funds that run a systematic trend-following strategy across futures markets, such as commodities, currencies, and interest rates, and package it as an exchange-traded fund.

    Are managed futures a good investment?

    They are used mainly for diversification, because their returns have been largely uncorrelated with stocks. They can lag badly in strong bull markets and there is no guarantee they help in every downturn. Treat them as a satellite, not a core holding.

    Are there any futures ETFs?

    Yes. Managed futures ETFs such as DBMF, KMLM, CTA and MFUT hold futures contracts inside the fund, so you get futures-based trend following without opening a futures account.

    Disclaimer: Educational content only, not financial advice. Fund fees and details change; verify them on the issuer’s site before investing. Full disclaimer and affiliate disclosure.

  • Momentum ETFs: How They Work and the Top Funds

    Momentum ETFs are exchange-traded funds that buy stocks, or other assets, that have risen the most over a recent window on the theory that winners keep winning. They package the momentum factor into a single tradeable fund.

    What is a momentum ETF?

    A momentum ETF ranks a universe of stocks by recent performance and holds the strongest. Most use a 6- to 12-month lookback, often skipping the most recent month to avoid short-term reversal. The fund then rebalances on a schedule, selling the names that lost strength and buying the new leaders. This is a close cousin of trend following ETFs: momentum ranks assets against each other, while trend following applies an absolute filter to each one.

    High momentum ETF list

    Fund Ticker Expense ratio Universe
    iShares MSCI USA Momentum Factor MTUM 0.15% US large and mid cap
    Invesco S&P 500 Momentum SPMO 0.13% S&P 500
    Vanguard US Momentum Factor VFMO 0.13% Broad US market
    Alpha Architect US Quantitative Momentum QMOM 0.49% Concentrated US
    iShares MSCI Intl Momentum Factor IMTM 0.30% Developed ex-US

    Expense ratios as of August 2026. Verify current fees before investing.

    How momentum is measured

    The standard measure is total return over the trailing 12 months, excluding the most recent month (often written as 12-1 momentum). The fund sorts everything by that score and holds the top slice. Because it rebalances regularly, a momentum ETF trades more than an index fund, which raises costs and tax drag.

    Momentum versus trend following

    The two are easy to confuse. Momentum is relative: it always holds something, and just rotates into the strongest names. Trend following is absolute: it holds an asset only if that asset is above its own trend line, and otherwise sits in cash or bonds. Many systems combine them: use momentum to pick what to hold, and a trend filter to decide whether to hold anything at all.

    Are momentum ETFs any good?

    Momentum has been one of the most persistent factors in markets, but persistence is not a promise. Momentum ETFs can lag the market for years, turn over frequently, and fall sharply in fast reversals. They make most sense as a modest slice of a portfolio, held for the long term. Before committing, see how trend and momentum compare to buy and hold.

    FAQ

    What are the best momentum ETFs?

    The largest and most liquid are MTUM (iShares MSCI USA Momentum) and SPMO (Invesco S&P 500 Momentum). Low-cost alternatives include VFMO (Vanguard) and IMTM (iShares international momentum).

    Are momentum ETFs any good?

    Momentum has been one of the most persistent factors in markets, but that is no guarantee. Momentum ETFs can lag for long stretches, turn over often, and tend to fall hard in sharp reversals. Treat them as one piece of a portfolio, not a core holding.

    What is a momentum ETF?

    A momentum ETF is an exchange-traded fund that holds stocks or other assets that have risen the most over a recent window, usually 6 to 12 months, on the theory that winners keep winning.

    What is Warren Buffett’s favorite ETF?

    Warren Buffett has not endorsed a momentum ETF. His repeated public recommendation is a low-cost S&P 500 index fund, and his estate instructions direct 90% into an S&P 500 index fund. That is a plain index fund, not a momentum strategy.

    Disclaimer: Educational content only, not financial advice. Fund fees and details change; verify them on the issuer’s site before investing. Full disclaimer and affiliate disclosure.

  • Trend Following ETFs: How They Work and What to Know

    Trend following ETFs are exchange-traded funds that use a rules-based trend rule, usually a moving average, to shift between a market and cash. The goal is to stay invested in uptrends and step aside in downtrends, without predicting what happens next.

    Is there a trend following ETF?

    Yes, and they come in two main flavors.

    • Equity trend ETFs. The Pacer Trendpilot family (PTLC, PTNQ, PTBD and others) holds a stock index when it is above its 200-day simple moving average, and shifts to Treasury bills when it falls below. PTLC, the US large-cap version, moves between 100% stocks, a 50/50 split, and 100% T-bills depending on how far the index is from its 200-day line.
    • Managed futures ETFs. Funds such as DBMF, KMLM and CTA follow trends across futures markets (commodities, currencies, rates) rather than a single stock index. They are built to be largely uncorrelated with equities.

    Trend following ETFs at a glance

    Fund Ticker Approach Expense ratio
    Pacer Trendpilot US Large Cap PTLC 200-day SMA on S&P 500 0.60%
    iMGP DBi Managed Futures Strategy DBMF Trend following across futures 0.85%
    KraneShares Mount Lucas Managed Futures KMLM Index-based trend following 0.90%
    Simplify Managed Futures Strategy CTA Long/short trend across futures 0.76%

    Expense ratios as of August 2026. Verify current fees on the fund’s own page before investing.

    How the rules work

    The classic rule is simple. Each day you compare the fund’s index to its 200-day moving average. Above the line means the trend is up, so you stay invested. Below the line means the trend is down, so you move to cash or bonds. There is no forecasting, no news, and no discretion. See the fully documented 200-day rule example for the exact entry, exit, and rebalance rules.

    The trade-off is built in. A trend rule is always late. It gives back part of every move at the top and the bottom, and it whipsaws in choppy, range-bound markets. That is the cost of never having to guess. The risks guide covers each failure mode.

    Which ETFs are trending right now?

    Rather than chase a list that goes stale, find trending ETFs yourself with three checks: relative strength over 3 to 12 months (see momentum ETFs), a price above its 200-day moving average, and recent inflows or rising volume. The signal comparison guide shows how each filter works and what it catches.

    Where to buy, and what it costs

    These are US-listed ETFs, so you buy them through any broker that offers US markets (and through international brokers that access US exchanges). The costs are the fund’s expense ratio above, plus any commission or foreign-exchange fee your broker charges. A 0.60% to 0.90% fee is high for a buy-and-hold fund, so it only makes sense if you want the trend rule handled for you.

    Check the trend yourself, in two minutes

    You do not need a fund to see the rule in action. Open any free charting tool, pull up an ETF, and add a 200-day simple moving average. If price is above the line, the trend is up. If it is below, the trend is down. Watch what happens at each crossover: the signal fires after the turn has already started. That is the entire concept, and it is why the strategy is mechanical rather than clever.

    To test whether the rule actually helped a given ETF, use our free tools, and read how to backtest without fooling yourself before trusting any result.

    FAQ

    Is there a trend following ETF?

    Yes. The Pacer Trendpilot family (PTLC, PTNQ, PTBD and others) uses a 200-day moving-average rule to shift between a stock index and Treasury bills. Managed futures ETFs such as DBMF, KMLM and CTA follow trends across futures markets instead.

    Which ETFs are currently trending?

    That changes over time, so the useful answer is a method, not a list. Look for ETFs with strong momentum over 3 to 12 months, a price above its 200-day moving average, and recent inflows or rising volume. Free screeners can filter for all three.

    What ETFs are trending right now?

    The same approach applies at any moment: screen for recent relative strength and a price above a long-term moving average, then confirm the trend with volume. We walk through the signals in the comparison guide rather than naming funds that will soon be out of date.

    What is the 7% rule in ETF?

    The 7% rule is a stop-loss guideline popularized by trader William O’Neil: sell a position if it falls 7% to 8% below your purchase price. It is a risk-management rule that applies to ETFs the same way it applies to stocks.

    Disclaimer: Educational content only, not financial advice. Fund fees and details change; verify them on the issuer’s site before investing. Full disclaimer and affiliate disclosure.

  • A Fully Documented ETF Trend System: The 200-Day Rule, Step by Step

    Here is a complete ETF trend system written out so two people reading it would make the same trade. It uses the 200-day moving average on a broad equity ETF, with a Treasury ETF as the place to sit when out of the market. This is a documented example to copy and adapt, not a claim about performance.

    The system at a glance

    • Universe: one broad U.S. equity ETF, plus one short-term Treasury ETF.
    • Signal: the 200-day simple moving average (SMA) of the equity ETF’s closing prices.
    • Entry: buy the equity ETF when its monthly close is above the 200-day SMA.
    • Exit: sell the equity ETF and move to the Treasury ETF when its monthly close is below the 200-day SMA.
    • Position sizing: the full position in one or the other; no partial positions.
    • Rebalance: check on the last trading day of each month, at the close.

    Rule 1: The universe

    Pick one broad, liquid equity ETF that tracks a wide market, and one short-term Treasury ETF as the safe alternative. Using just two funds keeps the system simple and the spreads tight. You could add more assets later, but the example stays deliberately small.

    Rule 2: The signal

    The only input is the 200-day SMA of the equity ETF’s closing prices. Nothing else matters: no news, no earnings, no forecasts. The line is the decision.

    Rule 3: Entry and exit

    On the last trading day of each month, look at whether the equity ETF closed above or below its 200-day SMA. If it closed above and you are in the Treasury ETF, switch to the equity ETF at the next available close. If it closed below and you are in the equity ETF, switch to the Treasury ETF at the next available close. If nothing changed, do nothing.

    Rule 4: Position sizing

    The system is binary: you are either fully in the equity ETF or fully in the Treasury ETF. There is no in-between. This keeps the decision small and mechanical.

    Rule 5: The monthly check

    The review is a two-line checklist, run once a month:

    1. Is the equity ETF’s latest monthly close above its 200-day SMA?
    2. Does my current position match the answer (equity if above, Treasury if below)?

    If the answers agree, do nothing. If they disagree, make the single switch. This is the entire system.

    Applying the rule in practice

    Suppose the monthly close is above the 200-day SMA. The rule says be in the equity ETF. If you are already there, hold. If you were in the Treasury ETF, buy the equity ETF at the next close. The logic is identical in reverse when the close is below the line: be in the Treasury ETF, and switch if you are not already there.

    The rule does not predict tops or bottoms. It reacts after a change has begun, which means it will always give back part of a move at each turn. That lag is the trade-off for never having to guess.

    What this example leaves out

    This is a rule book, not a backtest. It does not include commissions, spreads, dividends, or taxes, and it makes no statement about historical or future returns. Before committing capital, test the rules honestly and validate them on data they have not seen, following the backtesting guide. To adapt the rules to a different signal or a larger universe, start with how to build an ETF trend trading system, and compare signal choices in the signal comparison guide.

    FAQ

    What is the simplest ETF trend system?

    The 200-day rule: hold a broad equity ETF when its price is above its 200-day simple moving average, and move to a bond or cash ETF when it is below. It is the most commonly cited example of a rules-based trend system.

    Do I need a second ETF for the safe position?

    No. A short-term Treasury ETF is a common place to park capital while out of the market, but plain cash works too. The point is a defined place to be when the equity ETF is below its trend line.

    How often should I check the signal?

    Monthly is the common default. Checking daily adds noise and trading costs without a clear benefit. The example system checks on the last trading day of each month.

    Is the 200-day rule profitable?

    There is no guarantee. It is a widely studied example used to illustrate rules-based trend following, not a promise of returns. Treat it as a template to adapt and test, not a proven money-maker.

    Disclaimer: Educational content only, not financial advice. This example documents rules; it does not predict or promise returns. Full disclaimer and affiliate disclosure.

  • ETF Trend Signals Compared: Moving Averages, Breakouts, Momentum, and Volatility Filters

    There is no single best trend signal; each one trades off speed against reliability. The right choice depends on how long you hold, how often you want to trade, and how much whipsaw you can tolerate.

    The four signals, on one table

    Dimension Moving average Breakout Momentum Volatility filter
    Rule complexity Low Low Medium (ranking) Medium (add-on)
    Trading frequency Low to medium Medium to high Medium (monthly) Reduces trades
    Whipsaw exposure Moderate High in chop Moderate Lowers it
    Lag High (slow) Low (fast) Medium Adds delay
    Implementation Chart or spreadsheet Chart or screener Screener needed Spreadsheet
    Best for Long-horizon trend following Faster swing entries Multi-ETF rotation Any signal, to cut noise

    Moving averages

    The workhorse. A 200-day average defines the long-term trend; a 50/200 crossover marks changes. It is slow, so it reacts after the move has started, but it is robust and easy to follow. Best for investors who hold for months to years.

    Breakouts

    A breakout buys strength on a new N-day high. It reacts faster and captures moves earlier, but it trades more and gets chopped up in sideways markets. Best for shorter, more active swing trading.

    Momentum

    Momentum ranks ETFs by recent relative performance and holds the leaders, rotating out of laggards. It adds a comparison layer on top of a trend filter and suits a basket of ETFs rotated monthly.

    Volatility filters

    Not a signal on its own, but a modifier. A volatility filter sizes positions smaller when an ETF is more volatile, or skips trades when volatility is too high. It can cut whipsaws but adds a second rule that must be tuned.

    How to choose

    1. Match the signal to your holding period. Days to weeks: breakout or fast average. Months: 200-day or momentum.
    2. Use one signal first. Adding filters before you master the base signal creates a system you cannot debug.
    3. Evaluate on the same terms. Test candidates on identical data, costs, and rebalancing. Our backtesting guide shows how.

    If you are not sure where to start, build the simple version and see it in action with our rule tester, or follow a full example in the worked example.

    FAQ

    Which trend signal is best for a beginner?

    The 200-day moving average. It is simple to check, requires no ranking or screening, and gives one clear signal per position. Beginners should master one slow, simple signal before adding anything else.

    Do I need a volatility filter on top of my signal?

    Not at first. A volatility filter can reduce whipsaws and size positions more sensibly, but it adds a second rule that must be tuned. Start with one signal, and only add a filter once you can explain exactly what problem it solves.

    How do I compare signals fairly?

    Test each on the same ETF, over the same period, with the same cost and rebalancing assumptions, and measure both returns and drawdowns. If you change two things at once, you cannot tell which one caused the difference.

    Disclaimer: Educational content only, not financial advice. Past performance does not guarantee future results. Trading involves risk of loss. Full disclaimer and affiliate disclosure.

  • How to Build an ETF Trend Trading System: Rules, Signals, Entries, Exits, and Rebalancing

    Building an ETF trend trading system means writing down four separated rule layers before you trade: a signal, execution rules, risk rules, and portfolio-management rules. Most systems fail because traders skip one layer or blur them together.

    The four layers, kept separate

    A complete system separates decisions so each can be tested and changed on its own:

    • Signal: how you detect a trend (moving average, breakout, or momentum).
    • Execution: the exact conditions for entering and exiting, and what price you trade at.
    • Risk: position sizing and stop losses that cap how much any trade or drawdown can hurt.
    • Portfolio: the universe of ETFs, how you weight them, and how often you rebalance.

    Step 1: Choose the universe

    Start with broad, liquid funds. A common starting basket is a U.S. equity ETF, an international equity ETF, a bond ETF, and a cash or short-term Treasury alternative. The key is liquidity: you want funds with tight spreads so entries and exits are cheap. ETFs are well suited here because the market is large, with 4,495 U.S.-domiciled funds holding about $13.4 trillion at the end of 2025, according to the Investment Company Institute.

    Step 2: Choose one signal

    Pick a single trend filter and stick to it. The most common:

    • 200-day moving average: price above the line means up, below means down.
    • 50/200 crossover: the 50-day crossing the 200-day marks a trend change.
    • Breakout: buy on a new N-day high, exit on a new N-day low.
    • Momentum: rank ETFs by recent relative strength and hold the leaders.

    Each trades at a different frequency and reacts at a different speed. We compare them head to head in the signal comparison guide so you can match one to your holding period.

    Step 3: Write entry and exit rules

    Rules must be specific enough that two people reading them would make the same trade. For example: “On the last trading day of each month, buy the equity ETF if it closed above its 200-day simple moving average, and move to the Treasury ETF if it closed below.” There is no “maybe” or “this time feels different.”

    Step 4: Set position sizing and risk

    Decide how much of the portfolio each position gets, and where you cut losses. A simple, robust choice is equal weight across the universe, rebalanced on a fixed schedule. A stop-loss rule like selling any position down 7% to 8% from your entry is one common way to cap damage, though it must fit the signal you chose.

    Step 5: Schedule rebalancing

    Trend systems are reviewed on a schedule, not on impulse. Monthly is the default because it balances responsiveness against trading costs. Write the rebalance date and the exact rule you will check, so the review is mechanical.

    Step 6: Test it, then write the “do nothing” rule

    Before committing money, test the rules on historical data while avoiding lookahead and survivorship bias, then validate on data the system has not seen. See the backtesting guide for the full workflow. Finally, write down when to do nothing, because most of a trend system’s life is spent waiting.

    Once your rules are written, you can sanity-check the framework with our rule tester, which walks through each layer and flags the assumptions worth double-checking.

    FAQ

    Do I need coding skills to build an ETF trend system?

    No. The logic can be checked with free charting and screening tools, or a simple spreadsheet. Coding helps for backtesting but is not required to define and follow a rules-based system.

    How many ETFs should a beginner trend system hold?

    Start small. Two to six broad, liquid ETFs plus a cash or short-term bond alternative is plenty. More holdings add complexity without necessarily improving results.

    How often should I rebalance a trend system?

    Most trend systems check signals monthly. Weekly checks trade more often and raise costs; quarterly checks are slower to react to trend changes. Monthly is the common default.

    What is the biggest mistake when building a system?

    Overfitting the rules to past data. A system tuned to historical prices usually fails going forward. Use simple, conventional rules and validate them on data the system has not seen.

    Disclaimer: Educational content only, not financial advice. Past performance does not guarantee future results. Trading involves risk of loss. Full disclaimer and affiliate disclosure.

  • ETF Trend Trading Systems: How They Work, How to Build One, and How to Test It

    An ETF trend trading system is a set of written rules that tells you when to buy and sell exchange-traded funds based on whether prices are trending up or down. The goal is simple: stay invested in uptrends, step aside in downtrends, and take emotion out of the decision.

    What an ETF trend trading system is

    A trend trading system has three parts:

    • A signal that detects whether a trend is up or down (a moving average, a breakout, or momentum).
    • Execution rules that say exactly when and how to enter and exit.
    • Risk rules that set position size and stop losses, so no single trade or drawdown can sink the account.

    ETFs are the vehicle. Because one fund holds dozens or hundreds of securities, you get diversification and liquidity without having to pick individual stocks.

    Why ETFs for a trend system

    The ETF market is large and liquid. At the end of 2025, U.S.-domiciled ETFs numbered 4,495 with about $13.4 trillion in assets, roughly 30% of investment-company assets, according to the Investment Company Institute. Bond ETFs held about $2.2 trillion, and commodity ETFs about $364 billion as of May 2026. That breadth means a trend system can be built from a handful of liquid funds across equities, bonds, and commodities.

    How a trend system works

    The simplest version uses one rule: a moving average. When an ETF’s price is above its 200-day moving average, the long-term trend is up, so you hold or buy. When it falls below, the trend is down, so you sell or move to cash.

    You will never catch the exact top or bottom. What the system does is keep you on the right side of the big moves and out of the worst declines. Trend following is a risk-management discipline first and a return source second.

    The core signals compared

    • Moving averages: price versus the 50-day or 200-day line. Simple, slow, reliable.
    • Breakouts: buy when price makes a new N-day high. Faster, more trades.
    • Momentum: rank ETFs by relative strength and hold the leaders. Adds a comparison layer.

    Each signal differs in trading frequency, whipsaw exposure, and lag. We compare them side by side in our signals guide, because the right one depends on your holding period.

    How to build one, step by step

    1. Pick your universe. Start with two to six broad, liquid ETFs and a cash or bond alternative for when trends turn down.
    2. Choose one signal. Do not stack indicators. Pick one rule and stick to it.
    3. Write the entry and exit rules. Exact conditions, written before you trade.
    4. Set position sizing and a rebalance schedule. Decide how much to risk per position and how often to review signals.
    5. Write down when to do nothing. Most of trading is waiting.

    How to test it without fooling yourself

    Backtest the rules on historical data, but watch for two traps. Lookahead bias happens when the test uses information that was not available at the time. Survivorship bias happens when the test only includes funds that still exist. Also account for trading costs, dividends, and rebalance dates, and validate the rules on data the system has never seen. Our backtesting guide covers this workflow in full.

    A worked example: the 200-day rule

    Here is a concrete, clearly labeled example, not a performance claim. The rules:

    • Universe: one broad equity ETF and one short-term Treasury ETF.
    • Signal: on the last trading day of each month, check whether the equity ETF closed above its 200-day simple moving average.
    • Above: hold the equity ETF. Below: hold the Treasury ETF instead.
    • No other discretion, ever.

    This is the kind of system you can write on an index card and test yourself. The hard part is not the rules. It is following them through long losing stretches without abandoning the plan.

    Explore the guides

    FAQ

    What is the ETF trading system?

    An ETF trading system is a set of written rules for buying and selling exchange-traded funds. A trend trading system uses those rules to stay invested while an ETF is in an uptrend and step aside when the trend reverses. The point is to remove guesswork and emotion from the decision.

    What ETFs are trending right now?

    Rather than chase a list that goes stale, find trending ETFs yourself with three checks: momentum or relative strength over 3 to 12 months, price above its 200-day moving average, and recent inflows or expanding volume. Free screeners can filter for these, and we walk through the process in our tools and signals guides.

    What is the 3:5-10 rule for ETFs?

    The 3-5-10 rule is a regulatory limit, not a personal trading rule. Under the Investment Company Act of 1940, a registered fund (such as a fund of funds) generally cannot own more than 3% of another fund’s shares, put more than 5% of its assets in any single fund, or more than 10% of its assets in funds overall. It governs how funds invest in other funds.

    What is the 7% rule in ETF trading?

    The 7% rule is a stop-loss guideline popularized by trader William O’Neil: if a position falls 7% to 8% below your purchase price, sell it. It is a risk-management rule designed to keep small losses from becoming large ones, and it applies to ETFs the same way it applies to stocks.

    Disclaimer: Educational content only, not financial advice. Past performance does not guarantee future results. Trading involves risk of loss. Full disclaimer and affiliate disclosure.

  • Does Trend Following Work with ETFs? What the Data Actually Says

    Does Trend Following Work with ETFs? What the Data Actually Says

    Yes — trend following has a century of documented evidence, and ETFs make it accessible to everyday investors. But “works” doesn’t mean “always wins.” It delivers strong returns in trending markets and during crises, while losing small, repeated amounts in choppy, sideways markets.

    The short version

    • Trend following has worked across 135+ years of data and many asset classes.
    • Its biggest documented edge: crisis alpha — it tends to profit (or at least protect) when stocks crash.
    • The cost: whipsaw losses and long flat stretches that test your patience.
    • ETFs like DBMF, KMLM, and CTA give you trend exposure without building your own system.

    What does the evidence actually say?

    Trend following is one of the most studied strategies in finance. Two papers matter most:

    • “Time Series Momentum” (Moskowitz, Ooi & Pedersen, 2012): a simple 12-month momentum signal produced consistent positive returns across 58 liquid instruments — equities, bonds, currencies, and commodities. The effect was strongest for long horizons and has persisted out-of-sample.
    • “A Century of Evidence on Trend-Following Investing” (Hurst, Ooi & Pedersen, AQR, 2017): extending the analysis back to 1880, trend following earned positive returns and — critically — performed best during the worst equity drawdowns, earning the “crisis alpha” label.

    The mechanism is behavioral and structural: investors underreact to news, then overreact, creating trends that persist. Herding, slow information diffusion, and forced selling all push prices in one direction long enough for a trend system to capture.

    How this translates to ETFs

    The academic studies used futures, but the same logic applies to ETFs with a single rule. The classic example is the 200-day moving average on the S&P 500:

    • Above the 200-day average → hold the ETF.
    • Below it → move to cash (or a bond ETF).

    Over the long run, this simple filter has historically avoided the deepest parts of bear markets. The trade-off: it gives back gains when the market chops sideways around the average, triggering several small losses in a row.

    If you’d rather not manage the signal yourself, managed-futures and trend ETFs package the strategy for you. Examples include the iMGP DBi Managed Futures Strategy ETF (DBMF), the KFA Mount Lucas Index Strategy ETF (KMLM), and the Simplify Managed Futures Strategy ETF (CTA).

    Where it works — and where it struggles

    Market regime Trend following result
    Strong uptrend ✅ Captures most of the move
    Sustained downtrend ✅ Steps aside (long-only) or profits (short)
    Crash / crisis ✅ Crisis alpha — the strongest edge
    Choppy, sideways ❌ Whipsaw — repeated small losses

    The real catch (read this before you start)

    Three things break most people before the strategy can work:

    1. Whipsaw is psychologically brutal. Losing six small trades in a row feels like failure even when the system is doing exactly what it should.
    2. It lags in bull markets. In a relentless melt-up, a trend filter that moved you to cash on a dip can badly underperform buy-and-hold — and underperformance makes people quit.
    3. Costs and taxes compound. Higher turnover means more spreads and, in taxable accounts, more realized gains.

    The honest takeaway: trend following works, but it’s a risk-management discipline more than a get-rich shortcut. If you can’t stomach underperforming the crowd for years at a time, it isn’t for you — and that’s fine.

    Quick self-check

    What’s the single most important factor in whether trend following works?

    The market regime: it shines in trending markets and suffers in choppy, sideways ones. Knowing which regime you’re in matters more than any indicator setting.

    Why do most people fail at trend following even though it works?

    Discipline — the losing streaks in chop cause people to abandon the system right before the next big trend.

    Which ETF would a long-only trend trader most likely hold when the market is below its 200-day average?

    Cash or a bond ETF — the rule says step aside when the uptrend breaks.

    FAQ

    Has trend following ever stopped working?

    Trend following goes through long flat or losing periods — sometimes years — especially in choppy markets. It has never permanently ‘broken,’ but the patience required to endure its drawdowns is exactly why many investors abandon it before it pays off.

    Do I need to short the market to trend trade ETFs?

    No. Most retail investors run a long-only version: stay invested in ETFs while the trend is up, and move to cash or bonds when it turns down. Shorting adds complexity and unlimited risk and is optional.

    Is trend following better than buy and hold?

    It depends on your goal. Trend following historically reduces the deepest drawdowns and provides ‘crisis alpha,’ but in a relentless bull market it can lag a simple buy-and-hold. Many investors use it for risk control, not to maximize raw returns.

    What’s the difference between time series and cross-sectional momentum?

    Time series momentum compares an asset to its own past (e.g. price above its 200-day average). Cross-sectional momentum ranks assets against each other and buys the strongest. Trend following usually refers to time series momentum.

    Disclaimer: Educational content only — not financial advice. Past performance does not guarantee future results. Trading involves risk of loss. Full disclaimer · Affiliate disclosure.