Book summary “The complete turtletrader”: summary

Introduction

You often struggle with emotional decision-making, letting fear and greed dictate your trades while market volatility erodes your capital. You might believe that extraordinary trading success requires innate talent or a mysterious psychological gift that ordinary people lack.

Michael Covel resolves this dilemma in The Complete TurtleTrader by documenting Richard Dennis's famous social experiment. The central idea is that successful trading is a teachable skill rooted in systematic trend following, objective rules, and strict risk management rather than intuition.

The book is structured into five core parts that answer several key questions:

• Can trading discipline be systematically taught to novices?
• How do you calculate mathematical expectation and volatility-based position sizing?
• What specific rules govern trend entries, stop losses, and profit exits?

1. Foundations of the Turtle Experiment

Richard Dennis believed that trading is like Monopoly and that strategies, rules, odds, and numbers are objective and learnable. This sparked a decade-long nature-versus-nature debate with his partner William Eckhardt, who maintained that trading skills are ineffable, mystical, or genetically determined.

Trading success can be taught rather than relying on innate talent or genetic background.

To resolve their debate, Dennis and Eckhardt conducted an intellectual experiment by hiring and training novices using proprietary trading concepts. The classic movie Trading Places served as a thematic inspiration or catalyst for the experiment, grossing over 100 million dollars before it began.

Unconventional Recruitment

Instead of using conventional channels, Dennis placed classified ads in newspapers seeking commodity futures traders with experience considered optional. You could see that C&D Commodities budgeted $15,000 for classified ads in the Wall Street Journal, Barron's, and the International Herald Tribune in late fall 1983 and 1984.

Dennis and Eckhardt sought applicants who could think in terms of odds, similar to professional blackjack players, and who could treat money abstractly as a tool rather than a personal emotional stake. Successful speculators view money objectively as a tool to keep score and leverage positions rather than as a means for material consumption.

Candidates included a former U.S. Air Force pilot Erle Keefer, a blackjack master Jiri George Svoboda, a computer programmer Tom Shanks who built a computer into a boot, and a Dungeons and Dragons game designer Mike Carr.

Trader Psychology

Prospective students had to complete a rigorous screening process that included a true-false test covering trading philosophy and several open-ended essay questions. The true-false test featured 63 true-false questions designed to catch conventional biases about market behavior, such as taking profits too early, averaging down, or following hunches.

You had to answer true or false to statements such as:

• Trade long or short, but not both.
• Trade the same number of contracts in all markets.
• If you have 100000 dollars to risk, you should risk 25000 dollars on every trade.
• When you enter, you should know where to exit if a loss occurs.
• You can never go broke taking profits.
• The majority of traders are always wrong.
• Average profits should be about 3 or 4 times average losses.
• A trader should be willing to let profits turn into losses.
• A very high percentage of trades should be profits.
• Needing and wanting money are good motivators to good trading.
• One's natural inclinations are good guides to decision making in trading.
• Luck is an ingredient in successful trading over the long run.
• It's good to follow hunches in trading.
• Trends are not likely to persist.
• It's good to average down when buying.
• A trader learns more from his losses than his profits.
• Others' opinions of the market are good to follow.
• Buying dips and selling rallies is a good strategy.
• It's important to take a profit most of the time.

Accepted candidates signed a strict confidentiality and five-year contract that protected them from personal liability for trading losses while prohibiting outside trading. The agreement granted trainees 15 percent of profits as salary after training.

2. Trading Philosophy and Scientific Foundation

Markets are frequently irrational, and exceptional trading profits come from recognizing that conventional wisdom and crowds are usually wrong.

Influenced by British empiricists David Hume and John Locke, Richard Dennis believed in tabula rasa and deriving knowledge from direct observation and experience. You view markets as mad crowds reacting emotionally, making the majority wrong most of the time. Witnessing the 1968 riots outside the Chicago Board of Trade cemented his anti-establishment view of the world and his skepticism toward conventional thinking.

Dennis approached the markets by accumulating small fractional edges on numerous transactions, knowing that over time these edges would accumulate into substantial profits. When he started on the MidAmerican Commodity Exchange, Dennis used a system of having no idea whatsoever other than capturing fractional edges like a quarter cent on oat contracts. This was backed by a $100 initial war chest borrowed from his brother Tom's pizza delivery earnings.

Price as Reality

Price action is the only true metric to trust in trading, whereas fundamental news and crop reports are mere distractions. Everything known about a market is already reflected in its price. Fundamental analysis, crop sizes, and economic reports do not help predict prices or explain past actions because prices absorb news faster than humans can process it. Tom Willis learned from Dennis that he could never compete with large corporations like Cargill that had extensive global fundamental research, so he traded numbers instead, while Cargill reached 70 billion in revenues for 2005.

The Scientific Method

Trading must be approached with the scientific method, treating theory as the primary foundation and numbers as verification.

Dennis and Eckhardt trained Turtles to consider themselves scientists first and traders second. You must understand that plugging along without a conceptual framework is perilous, insisting that a solid theory must precede data analysis. Richard Dennis believed in a conceptual apparatus first and last, anticipating behavioral finance decades before Daniel Kahneman won a Nobel Prize for prospect theory.

When President Carter attempted to rescue the U.S. dollar in November 1978, gold and currency markets collapsed. On November 1, 1978, Richard Dennis lost 2 million dollars on the first day, with gold opening 10 dollars per ounce below the trading limit. This catastrophic market crash forced Dennis and Eckhardt to systematically test every piece of conventional market wisdom using computers, executing a high-stakes reversal by shorting silver under extreme duress that saved them from bankruptcy.

By 1983, Dennis realized that rules consistently outperform subjective judgments and intuition, which are often tainted by pit-trading habits and emotional reactions to price ticks. Richard Donchian pioneered trend following from the 1950s to the 1970s, establishing rules that ignored forecasting price limits in favor of strict entry and exit conditions.

Turtles were taught to treat money as an abstract variable rather than a fixed dollar amount to maintain emotional control during large-scale trades. By viewing account size and losses as percentages rather than absolute sums, you can prevent emotions from interfering with objective decision-making in a zero-sum game within a limitless environment. Losing 2 million dollars on a 100 million dollar account is mathematically equivalent to losing 1,000 dollars on a 50,000 dollar account, as both represent a 2 percent loss.

When you investigate market phenomena, you apply a strict procedure:

• Define the question.
• Gather information and resources.
• Form hypothesis.
• Perform experiment and collect data.
• Analyze data.
• Interpret data and draw conclusions that serve as a starting point for new hypotheses.
• Publish results.

3. Rules, Entries, and Risk Management

A trading system's long-term profitability is determined by its mathematical expectation, governed by breakout entries, volatility sizing, and strict stop losses.

Expectation and Edge

Richard Dennis and William Eckhardt taught that win percentage alone is misleading. A system with a low winning percentage can be far more profitable if its average winners are significantly larger than its average losers.

• Calculate your edge for every trading decision you make using the formula E = (PW x AW) - (PL x AL).

Dennis compared a trading system successful 35 percent of the time to a baseball batter with a 280 batting average. A system with 50 percent winning trades, a 500 dollar average winner, and a 350 dollar average loser yields an average gain of 75 dollars per trade. A second system with a 40 percent win rate, a 1000 dollar average winner, and a 350 dollar average loser yields 190 dollars per trade.

Entries and Exits

Turtles entered trades purely through price breakouts, buying when prices hit new highs and selling short when prices hit new lows. They ignored fundamental news and traditional Wall Street advice.

• Stop watching financial news and TV.
• Keep track of the open, high, low, and close of each market you are tracking.

System One used a 4-week price breakout entry, while System Two used a 55-day long breakout or downside breakout. System One exits triggered on a breakout in the opposite direction lasting 2 weeks or 10 trading days.

Liz Cheval bought 350 oil contracts for under 20 dollars a barrel in July 1990, held as prices rose above 40 dollars, and liquidated at an average price of 34.80 dollars based purely on price action.

Risk Management

Position sizing and risk management for Turtles were governed by a daily volatility measure called N, derived from the Average True Range of markets. N represents the true range of a market over a 24-hour period, calculated as the maximum of the distance from today's high to today's low, yesterday's close to today's high, or yesterday's close to today's low. Turtles used a 20-day moving average of these true ranges to standardize risk across completely different markets.

• Take the last 15 true ranges, add them up, and divide by 15 to determine the average true range.
• Repeat each day, dropping off the oldest true range.

Turtles enforced strict stop-loss rules based on market volatility to limit the damage from false breakouts and protect their overall portfolios.

• Multiply the daily N value by 2 to establish your hard stop distance from the entry price.
• Exit the market immediately without hesitation if the stop price level is touched.

4. Pyramiding and Portfolio Protection

To maximize profitability during major trends, you add to winning positions incrementally while diversifying across uncorrelated markets to reduce the risk of ruin.

Pyramiding

As a trade moves in profit by intervals of 1N, you add new units to your position up to a maximum limit. You raise your stop losses for all units simultaneously to protect open gains while staying exposed to the trend.

• Add a new unit for each 1N price movement in your favor.
• Raise the stop loss on all existing units to match the stop level of the newest unit added.

5 units is the maximum limit to which Turtles could pyramid a winning position. Liz Cheval remembered giving back 4 million dollars out of an 8 million dollar profit in the silver market in 1987. That harsh lesson helped her hold positions during subsequent major trends.

Risk of Ruin

You counter the risk of ruin during losing streaks by systematically reducing your position sizes as your account equity experiences drawdowns. To prevent consecutive false breakouts from wiping out capital, you scale down exposure.

• Cut your trading unit risk by 20 percent for every 10 percent drawdown in your account equity.

Tom Shanks, Paul Rabar, Erle Keefer, and Jiri Svoboda spent a year building a systems testing platform on Apple computers. They discovered that combining the S1 and S2 systems produced an 80 percent worst-case drawdown instead of the expected 50 percent. That finding prompted Dale Dellutri and Richard Dennis to issue an official memo on April 23, 1986, cutting position sizes in half.

Portfolio Selection

Diversifying across uncorrelated markets was essential for Turtles to avoid excessive exposure and ensure that missing one trend did not ruin the year. Holding highly correlated markets effectively doubled the risk on a single bet. You combine diverse markets and mix long and short positions to increase total allowable units without increasing overall portfolio risk.

• Calculate net unit risk for mixed long and short portfolios by dividing the smaller number of units by two and subtracting it from the larger number.

2 is the divisor used when calculating net risk reduction when combining long and short units. Erle Keefer recalled how the Turtles pushed cocoa prices through the roof by repeatedly adding positions, only for the market to collapse when their buying dried up. Phil Lu strictly followed his computer contingencies and refused to trade cocoa because it was listed on his second page rather than his first.

5. Out on Their Own

Following the shutdown of the Turtle program, graduates adapted their leverage and risk parameters to build massive independent institutional asset management firms.

Richard Dennis abruptly shut down the program in early 1988 after experiencing severe personal and public trading losses. Dennis suffered a 55 percent drawdown in April 1988 in his public funds with Drexel Burnham Lambert. While his students lost only 10 to 12 percent that month, Dennis was overtrading the S&P 500 index at a risk level reportedly a hundred times greater than that of the Turtles.

Former clients sued him for deviating from his rules, ending in a settlement where nearly six thousand investors split $2.5 million and half of his trading profits for three years without an admission of wrongdoing. U.S. District Judge Milton Pollack approved the settlement between Dennis and his dissatisfied Drexel fund investors. During the four-year program, the Turtles generated $150 million in gross earnings, while Dennis and his firm made $110 million.

Turtles on Their Own

Jerry Parker realized that lowering leverage and reducing potential drawdowns was essential for raising capital from institutional investors, unlike peers who kept high-risk strategies. Parker learned from a 60 percent single-day drop and founded Chesapeake Capital targeting steady 15 to 20 percent annual returns with smaller trade sizes, successfully capturing billions in institutional assets. Jerry Parker started Chesapeake Capital in Richmond, Virginia, with seed money from Kidder Peabody brokers after breaking away from Russell Sands.

Michael Covel visited Jerry Parker’s sparse Richmond office, noting a Swiss alphorn in the conference room that signaled the firm's global reach. Operating Chesapeake Capital in Richmond, Virginia, Parker built a billion-dollar fund while continuing to employ systematic trend following rules without online public posturing.

Market Reception

Wall Street viewed the Turtles as highly correlated competitors because their systematic, trend-following models generated profits and losses in the exact same markets. Fund analysts and investors noted that despite individual efforts by Turtles to differentiate their styles or claim discretion, their momentum-based models reacted to the same chart signals simultaneously.

Mark Goodman, president of Kenmar Asset Allocation, observed that trend followers like Liz Cheval and Paul Rabar looked at the same charts and made or lost money in the same markets.

Motivated by watching his former students manage massive amounts of capital, Dennis returned to public fund management in 1994 alongside his brother Tom. Proclaiming the computer as his new tool to eliminate human emotional interference, he achieved stellar trend-following gains during historical market shifts like the August 1998 Russian financial crisis. Burt Kozloff, an investor in the Dennis Trading Group, recounted how the fund dropped past the 50 percent loss mark down to -52 percent in mid-2000, prompting total liquidation.

10 Key Ideas

1. Trading success can be taught rather than relying on innate talent or genetic background, resolving a famous decade-long nature-versus-nurture debate.
2. Markets are frequently irrational, and exceptional trading profits come from recognizing that conventional wisdom and crowds are usually wrong.
3. Trading must be approached with the scientific method, treating theory as the primary foundation and numbers as verification.
4. Price action is the only true metric to trust in trading, whereas fundamental news and crop reports are mere distractions.
5. A trading system's long-term profitability is determined by its mathematical expectation, governed by breakout entries, volatility sizing, and strict stop losses.
6. Turtles entered trades purely through price breakouts, buying when prices hit new highs and selling short when prices hit new lows, ignoring fundamental news and traditional Wall Street advice.
7. Position sizing and risk management for Turtles were governed by a daily volatility measure called N, derived from the Average True Range of markets to standardize risk.
8. To maximize profitability during major trends, you add to winning positions incrementally while diversifying across uncorrelated markets to reduce the risk of ruin.
9. You counter the risk of ruin during losing streaks by systematically reducing your position sizes as your account equity experiences drawdowns.
10. Following the shutdown of the Turtle program, graduates adapted their leverage and risk parameters to build massive independent institutional asset management firms.