Turtle Trading Strategy - Journal Guide

Turtle Trading is a fully mechanical trend-following system built for intermediate-to-advanced traders who can tolerate long drawdown periods in exchange for occasional outsized winners. It operates on daily bars across futures and diversified markets, making it a position-timeframe strategy with hold times ranging from days to months. The system demands strict rule adherence over discretion — if that trade-off doesn’t fit your style, the journaling data below will tell you quickly.

How Turtle Trading Works

In 1983, commodities trader Richard Dennis bet his partner William Eckhardt $1 that trading could be taught to anyone. He recruited 23 people — including accountants, a game designer, and a blackjack player — gave them $1 million each and a written rulebook, and tasked them with trading his money. By 1988, those 23 Turtles had generated an estimated $175 million in profits (Michael Covel, The Complete TurtleTrader, 2007).

The edge comes from a simple observation: markets trend, and trends persist longer than most traders expect. The system captures those trends by entering on multi-week breakouts — prices trading at levels not seen in 20 or 55 days — and holding until the trend shows signs of reversal. The original Turtles traded 11 futures markets simultaneously, so diversification was structural, not optional.

What made the system remarkable was its win rate: approximately 35-40%. That means the Turtles were wrong on more than half their trades. Profitability came entirely from average winners being 3-5 times larger than average losers, per the original rules document published by Curtis Faith in 2003. This asymmetry only works if traders hold winners without cutting them early — a discipline that the journaling framework below is specifically designed to reinforce.

Modern adaptation requires caution. System 2 on diversified futures produced Sharpe ratios of 0.5-0.8 in the 1980s-1990s, but post-2005 estimates fall to 0.2-0.4 as trend-following became crowded and markets mean-reverted faster. Traders applying this today need real data on their own signals, not just historical backtests.

Entry Rules

1. 20-day or 55-day breakout — Price closes above the highest close of the prior 20 trading days (System 1) or 55 trading days (System 2). System 1 generates more signals but more false breakouts. System 2 enters later but into stronger trends.

2. System 1 skip rule — If the most recent System 1 trade was a winner, skip the next System 1 signal entirely. This filter prevents entries in choppy, range-bound conditions where back-to-back breakouts tend to fail.

3. ATR-based unit sizing — Calculate position size before entry: Units = (1% of equity) ÷ (ATR × contract size). On a $100,000 account trading ES futures with ATR at 15 points and a $50 multiplier, ATR dollar value = $750, so 1 unit = $1,000 ÷ $750 = 1.33 contracts, rounded down to 1.

4. Volume confirmation — Breakout day volume should exceed the 20-day average volume. A breakout on below-average volume is a lower-quality signal and warrants smaller initial size or a skip.

Exit Rules

1. System 1 exit — Exit all units when price closes below the 10-day low. This is a time-tested reversal signal for shorter-term System 1 positions.

2. System 2 exit — Exit all units when price closes below the 20-day low. The wider exit matches the longer entry lookback and gives the trend more room to develop.

3. Hard stop on all units — Stop loss sits 2 ATR below the most recent pyramid entry price, not the original entry. As units are added, the stop trails up with each add, tightening risk on the full position.

4. Pyramiding rule — Add 1 unit for every 0.5 ATR the trade moves in your favor, up to a maximum of 4 units total. Each new unit gets the same 2 ATR stop from its own entry, and all prior units have their stops raised to match.

Risk Management for Turtle Trading

The system risks exactly 1% of equity per unit, enforced through ATR-based sizing. With a maximum of 4 units per market, peak exposure per market reaches 4% of equity — only if the full pyramid is built. Across a diversified portfolio of 10 uncorrelated markets, total risk can reach 20% of equity in extreme cases, which aligns with the original Turtles experiencing drawdowns of 30-40% at certain points in the program. Concentration risk is the primary threat: avoid taking System 1 and System 2 signals simultaneously in highly correlated markets (e.g., crude oil and heating oil) without reducing per-unit size. Traders running this system on a single market should treat the 4-unit maximum as a hard ceiling, not a target.

Key Metrics to Track

• Breakout Quality Score — Measure ATR ratio at entry (how far above the 20/55-day high did price break?) and whether volume confirmed. High-quality breakouts show price closing at least 0.5 ATR above the prior high with above-average volume. Tracking this lets you identify whether lower-quality breakouts have worse follow-through in your specific markets.

• Pyramid-Add Performance — Record P&L for each unit separately: the initial unit, the first add, the second add, and so on. Most traders find that Unit 1 contributes the majority of profits; if Unit 3 and Unit 4 consistently lose money, scaling back the pyramid reduces risk without sacrificing much edge.

• System Adherence Score — Each week, score yourself on a 0-10 scale: Did you take every valid signal? Did you skip any signal the rules required skipping? Did you exit on the correct day-low close? This metric is the most predictive of long-term results in rule-based systems.

• Win Rate — Expect 35-40% across a large sample. If your win rate is above 50%, you may be exiting winners too early or skipping losing signals. If it falls below 30%, examine whether your markets are trending or ranging during the measurement period.

• Average R:R — Average winner should be 3-5 times the average loser. A ratio below 2.5 over 50 or more trades suggests the system’s trend-capture edge is not materializing in current market conditions.

Journal Fields for Turtle Trading Trades

Field	What to Record	Example
System (S1 / S2)	Which system variant triggered this trade	”S2”
Breakout ATR Ratio	How far above the prior high price broke, in ATR units	”0.8 ATR above 55-day high”
Volume Confirmation	Was breakout-day volume above the 20-day average?	”Yes — 1.4× average”
Units Added	Total units built, numbered 1-4	”3 units”
P&L Per Unit	Realized P&L for each unit separately	”U1: +$1,800 / U2: +$900 / U3: -$400”
System Adherence	Did you follow all rules on this trade?	“9/10 — hesitated on Unit 3 add”

Practical Example

A trader with a $100,000 account monitors crude oil futures (CL). On April 8, price closes at $82.00, breaking above the 55-day high. The 14-day ATR is $1.80 per barrel. Contract size is 1,000 barrels, so ATR dollar value = $1.80 × 1,000 = $1,800. Unit 1 size = $1,000 ÷ $1,800 = 0.55 contracts, rounded to 1 contract. Initial stop = $82.00 - (2 × $1.80) = $78.40.

Oil rallies $0.90 (0.5 ATR) to $82.90. Unit 2 is added: 1 more contract. Stop on both units moves to $82.90 - $3.60 = $79.30.

Oil advances another $0.90 to $83.80. Unit 3 added. Stop moves to $83.80 - $3.60 = $80.20 for all three contracts.

Oil then reverses and closes at $80.00 — below the ATR stop at $80.20. The hard stop triggers and all 3 contracts are exited at $80.20. The close-based 20-day-low exit would have fired at a lower price had the trade continued; the ATR stop takes priority here because it is reached first. Unit 1 profit: ($80.20 - $82.00) × 1,000 = -$1,800. Unit 2 profit: ($80.20 - $82.90) × 1,000 = -$2,700. Unit 3 profit: ($80.20 - $83.80) × 1,000 = -$3,600. Total loss: -$8,100, or ~8.1% of equity across 3 units — painful, but far less than the 30-40%+ drawdown that would result from over-leveraging without ATR-based sizing. Recording per-unit P&L shows that later pyramid adds underperformed — a data point to weigh when deciding how aggressively to pyramid in future signals.

Common Mistakes

1. Cutting winners at the first pullback — The Turtle system’s 35-40% win rate only produces profit when winners are allowed to run to the 10-day or 20-day low exit, not closed manually at the first sign of weakness. Journal every early exit and measure the opportunity cost over time.

2. Chasing entries after a missed breakout — If price breaks out and you miss the close, the valid entry is gone. Entering the next day at a higher price breaks the system’s risk math. Wait for the next signal.

3. Ignoring the System 1 skip rule — Taking a System 1 signal right after a winning System 1 trade is one of the most common rule violations. Backtests show the skip rule meaningfully reduces whipsaw losses in sideways markets. Log every signal you take or skip and verify the rule was applied correctly.

4. Under-diversifying — Running the system on a single market (e.g., only ES futures) removes the diversification that made the original system work. If trading one market, reduce per-unit risk below 1% of equity to compensate for the higher correlation between consecutive signals.

5. Failing to pyramid — Many traders take Unit 1 and then skip the adds because adding to a winning trade feels risky. In practice, the per-unit data usually shows that trades where the full pyramid is built outperform partial builds significantly. Letting the system pyramid is not optional — it is the mechanism that creates 3-5R average winners.

How JournalPlus Helps with Turtle Trading

JournalPlus supports the Turtle system’s multi-unit structure through custom journal fields, letting traders log P&L separately for each unit on every trade — a level of granularity that spreadsheets make cumbersome. The built-in analytics filter by custom field values, so traders can segment performance by System 1 versus System 2, by breakout quality score, or by number of pyramid units completed. The weekly review workflow is particularly useful here: the system adherence score can be tracked as a custom metric and trended over time to identify whether rule-following is improving or degrading under drawdown pressure. For futures traders running multiple markets simultaneously, the trade tagging and filtering tools make it practical to compare breakout quality across crude oil, gold, and currency signals in a single session.