Trend Following — Trend-Riding Systems from the Turtles to Donchian

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Risk warning · YMYL This article is for educational purposes only and is not investment advice. Trading on the Forex market involves a high risk of capital loss — ESMA reports 74–89% of retail accounts lose money.

In January 1983, in a rented office above the trading floor of the Chicago Board of Trade, Richard Dennis welcomed twenty-three people into a five-year experiment. Most had never traded before — the group included an actor, a security guard, a programmer, and a woman with a degree in linguistics. Dennis claimed he could teach them to trade in three weeks, and over five years the group generated roughly 175 million dollars in profit, with an average annual return near 80 percent. He called them the Turtle Traders, and he proved something the market did not want to believe: that mechanical trend following can be codified and run profitably by ordinary people.

The philosophy of trend following — react, do not predict

Trend following rests on a fundamentally different philosophy from most retail strategies. A classic investor looks for chances to „buy low” and „sell high” — trying to predict tops and bottoms. A trend follower does the opposite: they buy when the market has already broken out to new highs and is showing strength, and they sell when it has dropped to new lows. They predict nothing — they react to what the market has actually done, not to what the trader thinks it should do.

That inverted logic has a mathematical justification. Markets move in a clear directional trend only about 15 to 20 percent of the time, and they sit in sideways consolidation roughly 65 to 70 percent of the time. A strategy that tries to catch tops and bottoms in consolidation produces mediocre results most of the year. A strategy that captures trends during their strongest phase — even while it loses in consolidation — has an edge, because the few winning trades are many times larger than the losers.

What the Turtle Traders experiment taught us

Dennis was a legend at the Chicago Board of Trade in his thirties — from four hundred dollars borrowed from family he built a fortune of roughly two hundred million. His partner, the mathematician William Eckhardt, argued that this was an innate gift that could not be taught. Dennis insisted on the opposite, and they settled it with a bet: he recruited two waves of students through newspaper notices and gave each several weeks of training and a live account funded with his own capital. Five years later he had won the bet beyond dispute.

The most important lesson, though, was not about the rules but about discipline. Curtis Faith, the youngest of the group, wrote in Way of the Turtle (McGraw-Hill, 2007) that students who followed the rules to the letter earned far more than those who tried to „improve” the system with their own intuition. Mechanical discipline turns out to be far harder than it looks once your own money is on the line.

Classic entries: Donchian channels and moving-average crossovers

The first family of signals is the Donchian channel breakout. Richard Donchian, a Yale economist, described a simple construction in the 1950s: the upper line is the highest high of the last N sessions, the lower line the lowest low. For twenty sessions, a buy signal fires on a break above the upper line (a new monthly high) and a sell signal on a break below the lower line. I break the full mechanics down in a separate piece on the Donchian channel strategy.

Rules of the Donchian system in the Turtle Traders version
System 1 — fastEnter on a break of the 20-session extreme, exit on a break of the opposite 10-session extreme
System 2 — slowEnter on a break of the 55-session extreme, exit on a break of the opposite 20-session extreme
Stop lossTwo average daily ranges (2 × ATR) from the entry — wide enough to absorb noise
Position sizingSmall exposure on any single position alongside broad diversification across many markets at once

The second family is the moving-average crossover — a shorter average (say fifty-day) and a longer one (say two-hundred-day). When the faster crosses above the slower, you get a „Golden Cross”, flagged as a sign of an uptrend; the reverse is a „Death Cross”. Averages give fewer false signals than raw breakouts, but they are slower — a Golden Cross usually appears only after price has already risen by a double-digit percentage off the low. That is the constant trade-off: faster signals catch more trends but more false alarms; slower ones filter noise but miss the start of the move. Many practitioners combine the two — the average as a direction filter, the breakout as the entry trigger. This is a variant of the classic breakout strategy with an added trend-filter layer.

When the strategy earns, and when it devours capital

In a study spanning more than a century of data, trend-following systems proved consistently profitable, although the gains concentrate in the few years with a strong structural trend — the inflation cycle of the 1970s, the dollar trend of the 1980s, the 2008 crisis, the 2020 pandemic, or the 2022–2023 rate-hike cycle. In those years a mechanical system catches the breakout early and stays in to the end of the trend, and a single trade can produce many times more than one stop loss. What lets you „let the profits run” is the moving exit — a break of the lowest low of the last dozen-or-so sessions acts like a trailing stop that follows price and closes the position only once the trend has genuinely broken.

The problem is that the market consolidates most of the time, and then every breakout can be false: price returns inside the range within a few sessions, knocking out the stops of traders who believed the move. The years 2014–2015 are a textbook example — with low directional volatility, large trend funds posted combined drawdowns of 30 to 45 percent. A „risk-on/risk-off” regime is just as dangerous: the market runs one way for a week and reverses the next, so a buy signal becomes a loss and the following sell signal does too. A few such pairs zero out the monthly risk budget, even though no trade was wrong by the rules.

„The essence of trend following is not the accuracy of any forecast but consistency: you take every signal, you accept the losing streaks, and you let the rare large trends carry the whole result. A trader who picks and chooses which signals to take will sooner or later skip the one that made the year.” — Andreas F. Clenow, Following the Trend: Diversified Managed Futures Trading, Wiley, 2013

Three pillars of risk management

First, small per-trade risk — on the order of 0.25 to 0.5 percent of capital, less than the classic one-percent rule. Trend following generates many more trades and longer losing streaks (five to ten in a row). At one percent per trade, ten losses in a row is a ten-percent drawdown — psychologically hard; at half a percent it is only five. Second, diversification across a dozen or so uncorrelated markets — not to smooth out any single position, but to raise the chance that somewhere in the world a big trend appears and pays for months of consolidation elsewhere.

Third, no manual override of the signals. The classic error sounds like „I know the system says buy, but this move looks weak, so I\'ll skip it”. After a dozen such skips it turns out the entire year\'s profit has been skipped — because those „questionable” signals are precisely the ones that deliver the biggest trades. The difference between the participants who earned Dennis millions and those who washed out lay not in the rules but in the discipline of executing them. The foundations of that discipline are covered in the risk-management section at ForexMechanics.com.

What to do tomorrow if you want to implement trend following

Trend following is one of the best statistically documented strategies in the history of markets — Donchian channels are still the foundation of funds managing billions of dollars. The price of that mechanical character is steep, however: profits in only 15 to 20 percent of years, drawdowns of 20 to 30 percent, and a win rate of just 30 to 40 percent. Before you commit to this style, weigh it consciously against a shorter horizon — the comparison of day trading versus position trading helps, because trend following sits firmly on the patient side. Then do not start with money; start with three steps, each of which you can take without risking a single dollar.

  1. Write the complete rule set down on a single page. Define the entry signal, the stop-loss level, the exit signal, and the position size precisely enough that any trade can be executed without a single discretionary call. If you cannot state a rule in one sentence, it is not yet ready to be traded with real money.
  2. Run a backtest on at least ten years of data. Go back through a full market cycle and measure not just the final result but, above all, the deepest drawdown and the longest losing streak in a row. Those two numbers, more than any return figure, tell you whether you can psychologically survive running this system live.
  3. Run the system on one tenth of the target capital for six months. Trade it mechanically, skipping no signal whatsoever, and keep a journal of every trade. Most traders abandon trend following after the first long losing streak — if you sit through it and wait for the first big trend, everything after that becomes far easier.
Jarosław Wasiński
About the author

Jarosław Wasiński

Editor-in-chief at MyBank.pl · Financial and market analyst

Independent analyst and practitioner with 20+ years in finance. Founder and editor-in-chief of MyBank.pl, running since 2004. Fundamental analysis of FX and macro markets since 2007.

Sources & bibliography

  1. Hurst, Ooi, Pedersen (AQR Capital Management) A Century of Evidence on Trend-Following Investing · Journal of Portfolio Management, 2017 — dowód na trwałość strategii podążania za trendem na danych sięgających 1880 roku w wielu klasach aktywów www.aqr.com ↗
  2. European Securities and Markets Authority (ESMA) ESMA adopts final product intervention measures on CFDs and binary options · limity dźwigni dla klientów detalicznych (30:1 dla głównych par) i obowiązkowe ostrzeżenia o ryzyku — rama regulacyjna dla handlu systemami trendowymi przez CFD www.esma.europa.eu ↗
  3. Bank for International Settlements Triennial Central Bank Survey of foreign exchange and OTC derivatives markets in 2022 · dane o skali i obrotach rynku walutowego — kontekst dla dywersyfikacji systemów trend following na wielu rynkach walutowych jednocześnie www.bis.org ↗

Frequently asked

Does trend following still work in 2026, or is it a relic of another era?

Trend following still works, although returns are smaller than they were in the 1980s and 1990s. The original Turtle Traders generated roughly 80 percent a year managing capital from Richard Dennis's private fortune — those were years when commodity and currency markets had powerful structural trends and competition in systematic trading was minimal. In 2026, large trend-following firms such as Man AHL, Winton, Aspect, Campbell & Company and AQR collectively manage hundreds of billions of dollars, which naturally compresses returns. A well-calibrated trend-following system today has a realistic expected return of 8-15 percent a year, with drawdowns reaching 20-30 percent. A retail trader operating at a smaller scale, with more freedom to pick markets and instruments, can systematically deliver 25-50 percent annually — provided they have the patience to sit through consolidation periods that grind out a few percent of equity each month. The most important change between the Turtles era and today is not the principle itself (buy the breakout, ride the trend), but the way risk is managed: modern systems use far smaller per-trade risk (0.25-0.5 percent) and far broader diversification across hundreds of instruments at once.

What separates trend following from simply trading in the direction of a trend on individual setups?

The distinction is both philosophical and operational. A trader who trades „with the trend” on individual setups uses the trend as a directional filter — but still has profit targets, such as a prior swing high or a specific resistance reading, and closes the position when the target is hit. Trend following has no profit targets in the classic sense. The system stays in the trade as long as the trend continues, even when the profit on a single position runs to 200, 300, or 500 percent of the amount originally risked. The exit comes only on a reversal signal — classically a break of the lowest low of the last ten or twenty sessions for a long position, or a fast moving average crossing the slow one in the opposite direction. The consequence is a distinctive return profile: most trades close as small losses, a few exit with small profits, and a handful of positions generate massive gains that fund the entire year. That is the textbook distribution of a low-hit-rate, very-high-reward-to-risk strategy — statistically unusual compared to most retail strategies.

How much capital do you realistically need to run a mechanical trend-following system?

The realistic operational threshold starts at €20,000 of trading capital, and feels comfortable from €50,000. Three constraints baked into the logic of the system drive that. First, trend following requires diversification across at least five to ten uncorrelated instruments — otherwise the whole account is exposed to one market's consolidation. Five concurrent positions at 0.5 percent risk each total 2.5 percent of capital, which on a €20,000 account is €500 — a sensible boundary. Second, mechanical breakout signals produce strings of losses — five, eight, sometimes ten losing trades in a row before a big winning trend shows up. Psychologically and financially, the trader has to endure that without overriding the system. Third, the operating costs — spreads, commissions, swaps — eat most of the edge on a small account. On a €5,000 account, the spread on every trade is 0.2-0.5 percent, and a trend-following system can generate two or three hundred trades a year. Anyone with less than €20,000 is better off trading manually on one or two instruments, with single positions and a heavier weight on each trade.

Why do most beginners abandon trend following after just a few months?

Four reasons show up in almost every case. First, a trend follower's equity curve has a staircase shape — long months of small losses punctuated by isolated, dramatic upward jumps. Most beginners measure progress weekly or monthly, and after three months in the red they lose faith and switch to a different strategy. Second, the drawdowns are painfully deep — classic trend-following systems regularly post drawdowns of 20-30 percent of capital, and in 2014-2015 even 40-50 percent. A trader who cannot psychologically accept that volatility sells at the bottom. Third, the system demands absolute mechanical discipline — every manual override, every „I'll wait a bit longer to exit”, every „this time it won't reverse so I'll skip the signal” destroys the statistical edge. Fourth, boredom and frustration — trend following means that 70-80 percent of the time you are sitting in positions that slowly oscillate, with nothing to do. Many beginners trade because they enjoy the adrenaline — trend following provides no adrenaline for months at a time, only the final result.

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