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Trader tales: Gregory Zuckerman’s The Man Who Solved the Markets

Trader tales: Gregory Zuckerman’s The Man Who Solved the Markets

Editor’s note: When it comes to investing, there is no one with a better track record than Jim Simons. His firm, Renaissance Technologies, has had an average annual return of 66% since 1988, however, it’s also one of the most secretive on Wall Street.

In his latest book, specialist writer at The Wall Street Journal, Gregory Zuckerman has decided to tell the story of Simons to the world. “While the book is about Jim Simons and his life, it's not really a biography,” Zuckerman tells Opto. “It's really about how he and his colleagues solved the market and achieved these crazy returns [through pioneering quantitative trading].”

“While the book is about Jim Simons and his life, it's not really a biography. It's really about how he and his colleagues solved the market and achieved these crazy returns [through pioneering quantitative trading]”


The following is an excerpt from Gregory Zuckerman’s The Man Who Solved the Markets: How Jim Simons Launched the Quant Revolution published with permission.



Jim Simons wouldn’t stop calling. It was the fall of 1990 and Simons was in his office on the thirty-third floor of a midtown Manhattan high-rise, his eyes glued to a computer screen flashing the latest moves in global financial markets.

Friends didn’t understand why Simons was still at it. Fifty-two years old, Simons had already lived a full life, enjoying enough adventure, accomplishment, and prosperity to satisfy the ambitions of his peers. Yet, there he was, overseeing an investment fund, sweating the market’s daily eruptions.

Simons stood nearly five foot ten, though a slight stoop and a head of graying, thinning hair suggested someone a bit shorter and older. Creases enveloped his brown eyes, the likely result of a smoking habit he couldn’t kick—or just didn’t want to.

Simons’s rugged, craggy features, and the glint of mischief in his eyes, reminded friends of the late actor Humphrey Bogart. On Simons’s uncluttered desk sat an oversize ashtray awaiting the next flick of his burning cigarette.

On his wall was a rather gruesome painting of a lynx feasting on a rabbit. Nearby, on a coffee table next to a couch and two comfortable leather chairs, sat a complicated mathematics research paper, a reminder of the thriving academic career Simons had discarded to the bewilderment of his fellow mathematicians.

By then, Simons had spent twelve full years searching for a successful investing formula. Early on, he traded like others, relying on intuition and instinct, but the ups and downs left Simons sick to his stomach.

At one point, Simons became so discouraged an employee worried he was contemplating suicide. Simons recruited two renowned and headstrong mathematicians to trade with him, but those partnerships crumbled amid losses and acrimony.

A year earlier, Simons’ results had been so awful he had been forced to halt his investing. Some expected him to pull the plug on his entire operation. Now on his second marriage and third business partner, Simons decided to embrace a radical investing style.

Working with Elwyn Berlekamp, a game theorist, Simons built a computer model capable of digesting torrents of data and selecting ideal trades, a scientific and systematic approach partly aimed at removing emotion from the investment process.

“If we have enough data, I know we can make predictions,” Simons told a colleague. Those closest to Simons understood what really was driving him. Simons had earned a PhD at the age of twenty-three and then became an acclaimed government codebreaker, a renowned mathematician, and a groundbreaking university administrator.

“If we have enough data, I know we can make predictions”


He needed a new challenge and a bigger canvas. Simons told a friend that solving the market’s age-old riddle and conquering the world of investing “would be remarkable.” He wanted to be the one to use math to beat the market.

If he could pull it off, Simons knew he could make millions of dollars, maybe even more, perhaps enough to influence the world beyond Wall Street, which some suspected was his true goal.

In trading, as in mathematics, it’s rare to achieve breakthroughs in midlife. Yet, Simons was convinced he was on the verge of something special, maybe even historic. A Merit cigarette lodged between two fingers, Simons reached for the phone to call Berlekamp one more time.

“Have you seen gold ” Simons asked, the accent of his gravelly voice hinting at his Boston upbringing. Yes, I’ve seen gold prices, Berlekamp responded.  And, no, we don’t need to adjust our trading system.

Simons didn’t push, hanging up politely, as usual. Berlekamp was becoming exasperated by Simons’s pestering, however. Serious and slim with blue eyes behind thick glasses, Berlekamp worked on the other side of the country in an office that was a short walk from the campus of University of California, Berkeley, where he continued to teach.

When Berlekamp discussed his trading with graduates of the university’s business school, they sometimes mocked the methods he and Simons had embraced, calling them “quackery.” “Oh, come on. Computers can’t compete with human judgment,” one had told Berlekamp.

“Computers can’t compete with human judgment”


“We’re gonna do things better than humans can,” Berlekamp responded. Privately, Berlekamp understood why their approach screamed of modern-day alchemy. Even he couldn’t fully explain why their model was recommending certain trades.

It wasn’t just on campus where Simons’s ideas seemed out of touch. A golden age for traditional investing had dawned as George Soros, Peter Lynch, Bill Gross, and others divined the direction of investments, financial markets, and global economies, producing enormous profits with intelligence, intuition, and old-fashioned economic and corporate research.

Unlike his rivals, Simons didn’t have a clue how to estimate cash flows, identify new products or forecast interest rates. He was digging through reams of price information. There wasn’t even a proper name for this kind of trading, which involved data cleansing, signals, and backtesting, terms most Wall Street pros were wholly unfamiliar with.


By Gregory Zuckerman, a specialist writer at The Wall Street, who is the author of numerous books including The Greatest Trade Ever: The Behind-the-Scenes Story of How John Paulson Defied Wall Street and Made Financial History and The Frackers: The Outrageous Inside Story of the New Energy Revolution.

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