In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Derman details his adventures in this field - analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. 

If you want to trade more - and trade better - without having to spend more time trading, then start listening right now.

In his first book for a general audience, Mandelbrot, with co-author Richard L. Hudson, shows how the dominant way of thinking about the behavior of markets-a set of mathematical assumptions a century old and still learned by every MBA and financier in the world-simply does not work. As he did for the physical world in his classic The Fractal Geometry of Nature, Mandelbrot here uses fractal geometry to propose a new, more accurate way of describing market behavior.

Michael Lewis returns to the financial world to give listeners a ringside seat as the biggest news story in years prepares to hit Wall Street....

Normal thinking leads to normal results. For exceptional results, traders must think differently. This book will guide and inspire you in ways no other trading book has. It is not about strategies and money management. It is about mind management. Tom Hougaard provides a unique and refreshingly personal account of how an ordinary trader elevated his game to incredible heights by focusing as much on his mental approach as on his technical analysis. Best Loser Wins explains how you, by thinking differently when you are trading, can elevate your game from mediocre to excellent.

In March 2006, the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with ­million-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the sharp-tongued, mercurial founder of the hedge fund AQR Capital Management, and Boaz Weinstein, chess “life master” and king of the credit-default swap.

Jim Simons is the greatest money maker in modern financial history. No other investor - Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros - can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth 23 billion dollars. 

Unknown Market Wizards continues in the three-decade tradition of the hugely popular Market Wizards series, interviewing exceptionally successful traders to learn how they achieved their extraordinary performance results. The twist in Unknown Market Wizards is that the featured traders are individuals trading their own accounts. They are unknown to the investment world. Despite their anonymity, these traders have achieved performance records that rival, if not surpass, the best professional managers.

The incredible true story of the card-counting mathematics professor who taught the world how to beat the dealer and, as the first of the great quantitative investors, ushered in a revolution on Wall Street.

What separates the world's top traders from the vast majority of unsuccessful investors? In this iconic financial classic, Jack Schwager sets out to answer this question in his interviews with superstar money-makers including Bruce Kovner, Richard Dennis, Paul Tudor Jones, Michel Steinhardt, Ed Seykota, Marty Schwartz, Tom Baldwin, and more in this audiobook.

A common denominator among most new traders is that, within six months of launching their new pursuit, they are out of money and out of trading. High-Probability Trading softens the impact of this "trader's tuition," detailing a comprehensive program for weathering those perilous first months and becoming a profitable trader. This no-nonsense book takes a uniquely blunt look at the realities of trading. Filled with real-life examples and intended for use by both short- and long-term traders, it explores each aspect of successful trading.

Only one in 10 traders makes money. And, you are not the one…yet! But, do not worry; this audiobook got you covered. With over 10 hours' worth of strategies, tips, and tricks, this complete crash course will help you go from zero to hero. Day trading is the best way to make money in financial markets. In fact, for the past 100 years, people all around the world have had the opportunity to make a living by buying and selling stocks.

In The New Market Wizards, successful traders relate the financial strategies that have rocketed them to success. Asking questions that listeners with an interest or involvement in the financial markets would love to pose to the financial superstars, Jack D. Schwager encourages these financial wizards to share their insights. Entertaining, informative, and invaluable, The New Market Wizards is destined to become another Schwager classic.             

If you want to trade more - and trade better - without having to spend more time trading, then start listening right now.

In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Derman details his adventures in this field - analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. 

In March 2006, the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with ­million-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the sharp-tongued, mercurial founder of the hedge fund AQR Capital Management, and Boaz Weinstein, chess “life master” and king of the credit-default swap.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

Have you always been interested in the stock market but never had the time to work on investing in the market? Did you give your money to a friend or broker and lost everything? Well, if you answered "yes" to these questions, then you have come to the right place. This book begins with an introduction to what algorithmic trading is and will demystify this complex subject. It will provide you with the knowledge that you can use when you trade in the market. You will also gather background information that will lead to some advanced work that is outlined by current trading algorithms.

A common denominator among most new traders is that, within six months of launching their new pursuit, they are out of money and out of trading. High-Probability Trading softens the impact of this "trader's tuition," detailing a comprehensive program for weathering those perilous first months and becoming a profitable trader. This no-nonsense book takes a uniquely blunt look at the realities of trading. Filled with real-life examples and intended for use by both short- and long-term traders, it explores each aspect of successful trading.

Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up) - your world is awash with data. As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This audiobook promises to become your "quantitative literacy" guide.

In today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions. Trading at the Speed of Light tells the story of this epic transformation. Donald MacKenzie shows how in the 1990s, a new approach to trading - automated high-frequency trading or HFT - began and then spread throughout the world.

From best-selling author, investment expert, and Wall Street theoretician Jack Schwager comes a behind-the-scenes look at the world of hedge funds, from 15 traders who've consistently beaten the markets. Exploring what makes a great trader a great trader, Hedge Fund Market Wizards breaks new ground, giving readers rare insight into the trading philosophy and successful methods employed by some of the most profitable individuals in the hedge fund business. 

The incredible true story of the card-counting mathematics professor who taught the world how to beat the dealer and, as the first of the great quantitative investors, ushered in a revolution on Wall Street.

Want to take the financial journey to a new investing philosophy that might very well affect the rest of your moneymaking life? No one can guarantee the yellow brick road, but Michael Covel promises the red pill will leave you wide awake. Trend Following reveals the truth about a trading strategy that makes money in up, down, and surprise markets.

What if you could make all the money you need to, without even doing a thing? Is that even possible? Short answer, yes. We're talking about algorithmic trading. Spoiler alert! In case you missed the title, that's what we're going to cover here. Ever since the creation of trading robots and experts, the financial world has never been the same. Algorithmic trading is the future. And the future is here. Where algorithmic trading used to be a thing for just the big boys - you know, the hedge funds - now, it's for everyone.

The rise over the last two decades of a powerful new class of billionaire financiers marks a singular shift in the American economic and political landscape. Their vast reserves of concentrated wealth have allowed a small group of big winners to write their own rules of capitalism and public policy. How did we get here? Through meticulous reporting and powerful storytelling, New Yorker staff writer Sheelah Kolhatkar shows how Steve Cohen became one of the richest and most influential figures in finance—and what happened when the Justice Department put him in its crosshairs.