Cohen changed Wall Street. He and his fellow pioneers of the hedge fund industry didn't lay railroads, build factories, or invent new technologies. Rather, they made their billions through speculation, by placing bets in the market that turned out to be right more often than wrong and for this, they gained not only extreme personal wealth but formidable influence throughout society. Hedge funds now oversee more than $3 trillion in assets, and the competition between them is so fierce that traders will do whatever they can to get an edge.Cohen was one of the industry's biggest success stories, the person everyone else in the business wanted to be. Born into a middle-class family on Long Island, he longed from an early age to be a star on Wall Street. He mastered poker in high school, went off to Wharton, and in 1992 launched the hedge fund SAC Capital, which he built into a $15 billion empire, almost entirely on the basis of his wizard like stock trading. He cultivated an air of mystery, reclusiveness, and excess, building a 35,000-square-foot mansion in Greenwich, Connecticut, flying to work by helicopter, and amassing one of the largest private art collections in the world. On Wall Street, Cohen was revered as a genius: one of the greatest traders who ever lived.That image was shattered when SAC Capital became the target of a sprawling, seven-year investigation, led by a determined group of FBI agents, prosecutors, and SEC enforcement attorneys. Labeled by prosecutors as a magnet for market cheaters whose culture encouraged the relentless pursuit of edge and even black edge, which is inside information SAC Capital was ultimately indicted and pleaded guilty to charges of securities and wire fraud in connection with a vast insider trading scheme, even as Cohen himself was never charged.Black Edge offers a revelatory look at the gray zone in which so much of Wall Street functions. It's a riveting, true-life legal thriller that takes readers inside the government's pursuit of Cohen and his employees, and raises urgent and troubling questions about the power and wealth of those who sit at the pinnacle of modern Wall Street.

    From Stephen Levy—the author who made "hackers" a household word—comes this account of a revolution that is already affecting every citizen in the twenty-first century. Crypto tells the inside story of how a group of "crypto rebels"—nerds and visionaries turned freedom fighters—teamed up with corporate interests to beat Big Brother and ensure our privacy on the Internet. Levy's history of one of the most controversial and important topics of the digital age reads like the best futuristic fiction.

    This template allowed his firm, Bridgewater Associates, to anticipate events and navigate them well while others struggled badly.  As he explained in his #1 New York Times Bestseller, Principles: Life & Work, Dalio believes that most everything happens over and over again through time so that by studying their patterns one can understand the cause-effect relationships behind them and develop principles for dealing with them well. In this 3-part research series, he does that for big debt crises and shares his template in the hopes reducing the chances of big debt crises happening and helping them be better managed in the future.  The template comes in three parts provided in three books: 1) The Archetypal Big Debt Cycle (which explains the template), 2) 3 Detailed Cases (which examines in depth the 2008 financial crisis, the 1930's Great Depression, and the 1920's inflationary depression of Germany's Weimar Republic), and 3) Compendium of 48 Cases (which is a compendium of charts and brief descriptions of the worst debt crises of the last 100 years). Whether you're an investor, a policy maker, or are simply interested, the unconventional perspective of one of the few people who navigated the crises successfully, A Template for Understanding Big Debt Crises will help you understand the economy and markets in revealing new ways.

    It has failed to predict, let alone prevent, financial crises that have shaken the foundations of our societies. Its outdated theories have permitted a world in which extreme poverty persists while the wealth of the super-rich grows year on year. And its blind spots have led to policies that are degrading the living world on a scale that threatens all of our futures.Can it be fixed? In Doughnut Economics, Oxford academic Kate Raworth identifies seven critical ways in which mainstream economics has led us astray, and sets out a roadmap for bringing humanity into a sweet spot that meets the needs of all within the means of the planet. En route, she deconstructs the character of ‘rational economic man’ and explains what really makes us tick. She reveals how an obsession with equilibrium has left economists helpless when facing the boom and bust of the real-world economy. She highlights the dangers of ignoring the role of energy and nature’s resources – and the far-reaching implications for economic growth when we take them into account. And in the process, she creates a new, cutting-edge economic model that is fit for the 21st century – one in which a doughnut-shaped compass points the way to human progress.Ambitious, radical and rigorously argued, Doughnut Economics promises to reframe and redraw the future of economics for a new generation.

    Provides a portrait of the stock market with the strategies, tools, and techniques investors need to maintain their focus and achieve meaningful stock returns over time.

    This book will change everything. Timothy turned $12,000 of Bar Mitzvah gift money into $1.65 million trading thousands of stocks from 1999-2002, managed the #1 Short Bias Hedge Fund from 2003-2006, starred in the television documentary Wall Street Warriors, and appeared regularly on CNBC all before the age of 26. It's been a wild ride. This Rocky'-like story is the first realistic look at the world of stock trading and hedge funds-it will educate and inspire everyone.

    Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed." -Peter Tippett, PhD, M.D. Chief Technology Officer at CyberTrust and inventor of the first antivirus software "Doug Hubbard has provided an easy-to-read, demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions. We encourage our clients to try his powerful, practical techniques." -Peter Schay EVP and COO of The Advisory Council "As a reader you soon realize that actually everything can be measured while learning how to measure only what matters. This book cuts through conventional cliches and business rhetoric and offers practical steps to using measurements as a tool for better decision making. Hubbard bridges the gaps to make college statistics relevant and valuable for business decisions." -Ray Gilbert EVP Lucent "This book is remarkable in its range of measurement applications and its clarity of style. A must-read for every professional who has ever exclaimed, 'Sure, that concept is important, but can we measure it?'" -Dr. Jack Stenner Cofounder and CEO of MetraMetrics, Inc.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    … The book the National Security Agency wanted never to be published." –Wired Magazine "…monumental… fascinating… comprehensive… the definitive work on cryptography for computer programmers…" –Dr. Dobb's Journal"…easily ranks as one of the most authoritative in its field." —PC Magazine"…the bible of code hackers." –The Millennium Whole Earth CatalogThis new edition of the cryptography classic provides you with a comprehensive survey of modern cryptography. The book details how programmers and electronic communications professionals can use cryptography—the technique of enciphering and deciphering messages-to maintain the privacy of computer data. It describes dozens of cryptography algorithms, gives practical advice on how to implement them into cryptographic software, and shows how they can be used to solve security problems. Covering the latest developments in practical cryptographic techniques, this new edition shows programmers who design computer applications, networks, and storage systems how they can build security into their software and systems. What's new in the Second Edition? * New information on the Clipper Chip, including ways to defeat the key escrow mechanism * New encryption algorithms, including algorithms from the former Soviet Union and South Africa, and the RC4 stream cipher * The latest protocols for digital signatures, authentication, secure elections, digital cash, and more * More detailed information on key management and cryptographic implementations

    Asking questions that readers 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.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.