At a glance
- Origin
- A 1983 experiment testing whether trading can be taught
- Core signal
- 20-day and 55-day Donchian channel breakouts
- Position sizing
- Volatility units based on N, an early ATR
- Lasting contribution
- Risk normalisation across markets, not the entry rule
Key takeaways
- The Turtles traded a straightforward breakout system; what made it work was the position sizing, the pyramiding rules, and the portfolio-level risk limits.
- N, the 20-day average true range, normalised risk so that every market contributed roughly the same volatility to the portfolio.
- The system deliberately took every signal, including the ones that looked bad, because skipping signals removes the rare large winners.
- The specific parameters are less important than the structure; the breakout lengths would be curve fitting if adopted uncritically today.
- The experiment’s real result was behavioural: identical rules produced very different outcomes depending on whether traders followed them.
What the experiment was
In 1983, commodity trader Richard Dennis wagered with his partner William Eckhardt that trading could be taught. He recruited a group of novices, trained them for two weeks in a specific rule set, funded them, and let them trade. Several went on to produce strong records over the following years.
The rules later became public. Their historical importance is not that they are the best trend-following rules, but that they are a complete, self-consistent system covering entries, exits, sizing, pyramiding, and portfolio limits, at a level of specification that most published strategies still fail to reach.
The rules in full
- Markets
- Liquid futures across currencies, rates, metals, energy, and agriculture. Diversification across uncorrelated markets was structural, not optional.
- N (volatility unit)
- A 20-day exponential average of the true range, functionally the modern ATR. Everything else is expressed in units of N.
- Unit size
- Unit = (1% of account equity) / (N x dollars per point). One unit therefore represents a 1 percent move in equity for a 1 N price move.
- System 1 entry
- Buy a 20-day high breakout, but skip the signal if the previous 20-day breakout would have been a winner.
- System 2 entry
- Buy a 55-day high breakout, always taken, with no skip rule. This ensured the largest trends were never missed.
- Adding units (pyramiding)
- Add one unit for every further 0.5 N of favourable movement, up to a maximum of 4 units in one market.
- Stop
- 2 N below the entry price of each unit. When units are added, earlier stops are raised so the whole position risks no more than 2 N from the most recent entry.
- System 1 exit
- A 10-day low for longs.
- System 2 exit
- A 20-day low for longs.
- Portfolio limits
- Maximum 4 units per market, 6 units in closely correlated markets, 10 units in loosely correlated markets, and 12 units total on one side of the portfolio.
- Drawdown rule
- Reduce unit size by 20 percent for every 10 percent of account drawdown, and restore it only after recovery.
The position sizing, which is the real lesson
N = 20-day average true range, in price points
Dollar volatility = N x dollars per point of the contract
Unit = (0.01 x Account equity) / Dollar volatility
Example: 1,000,000 account
Market A: N = 0.0075, point value 100,000 -> dollar vol 750
Unit = 10,000 / 750 = 13 contracts
Market B: N = 1.20, point value 1,000 -> dollar vol 1,200
Unit = 10,000 / 1,200 = 8 contracts
Both positions now risk approximately the same amount for a
1 N move, even though the markets have completely different
prices, tick sizes, and volatilities.This normalisation is the reason a single portfolio could hold currencies, bonds, and agricultural commodities simultaneously without one market dominating the risk. Every modern systematic risk framework uses a version of this idea, whether it is called ATR sizing, volatility targeting, or risk parity.
What still applies and what does not
| Element | Still valid? | Comment |
|---|---|---|
| Volatility-based unit sizing | Yes, entirely | The single most transferable idea in the system |
| Diversification across uncorrelated markets | Yes | Still the mechanism that makes trend following tolerable |
| Pyramiding with a shared stop | Yes | A sound anti-martingale structure |
| Drawdown-based size reduction | Yes | Extends survival; used widely today |
| Specific 20 and 55 day parameters | Treat as illustrative | Adopting exact 1983 parameters is copying a fit, not a principle |
| Taking every signal | Yes, in spirit | Skipping signals removes the rare large winners |
| Pure breakout entries | Weaker than before | More competition; many implementations add volatility or trend filters |
| Futures-only universe | Optional | ETFs and micro contracts make the structure accessible to smaller accounts |
The behavioural result, which was the point
The most cited detail of the experiment is that the Turtles received identical rules and produced very different results. Some followed the system precisely; others skipped signals after losing streaks, hesitated on entries, or reduced size at the wrong moments. The rules were necessary but not sufficient.
This is the strongest available evidence for a claim made throughout this library: execution consistency matters at least as much as strategy selection. A mediocre system followed exactly will usually outperform an excellent system followed selectively, because selective following removes precisely the uncomfortable trades that generate the returns. See trading psychology.
Frequently asked questions
Do the Turtle rules still work?
The architecture does; the specific parameters are dated. Pure Donchian breakout systems have seen returns compress as more capital pursues trend following and as markets have become more efficient. Modern implementations retain the volatility sizing and portfolio limits while using different entry filters and longer or blended lookbacks.
What is N in the Turtle system?
N is a 20-day exponential average of the true range, essentially the ATR. It measures a market’s typical daily movement, and the Turtles used it to convert every market into comparable risk units, so that a position in bonds and a position in coffee contributed similar volatility to the portfolio.
Can I trade the Turtle system with a small account?
Not in its original form, which requires enough capital to hold positions across many futures markets simultaneously. Micro futures contracts and liquid ETFs make a scaled-down version feasible from tens of thousands of dollars, with fewer markets and correspondingly lumpier results.
Why did the Turtles use two systems?
System 1 skipped breakouts that followed a winning breakout, which improved efficiency but risked missing a major trend. System 2, on a longer 55-day lookback with no skip rule, guaranteed participation in any large move. Running both meant the portfolio could not be left out of a historic trend by a filtering rule.
What is the most important thing to take from the Turtles?
That a complete system specifies sizing, pyramiding, correlation limits, and drawdown response, not just entries and exits. Most retail strategies specify only the parts that are fun to think about, and fail on the parts the Turtles treated as the core of the method.
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Build a backtestKeep reading
- StrategiesTrend Following Strategy: Complete Guide With Rules and Examples
- IndicatorsDonchian Channel Strategy: The Original Breakout System
- RiskPosition Sizing Guide: How Many Shares or Contracts to Trade
- IndicatorsATR Indicator Guide: The Most Useful Number in Risk Management
- RiskVolatility Targeting: Sizing by Risk Instead of by Capital
- MarketsFutures Trading Strategies: Leverage, Rolls, and Diversification
Referenced by
Educational use only. This guide explains how a strategy works. It is not investment advice, not a recommendation, and no result described here is a forecast. Test any approach on historical and out-of-sample data, size positions conservatively, and never risk money you cannot afford to lose.