But most people don't know how to harness it for profits. It took me over a decade to figure it out, and now I'm ready to share everything that I've learned. This is exactly the book that I wish I'd had when I was first learning how to trade. Don't be the sucker that Wall Street leaves holding the bag. In this book, you will learn: The one thing you must never do if a stock gaps to new highs The simplest ways to make money in the stock market How to tell when you are in a bull market, or a bear market How to identify which stocks are "market leaders" 10 ways to develop a winning trader's mindset The secrets to trading in a bear market How to use the RSI and Stochastics in different market environments How to run your trading like a business And much, much more! Join the thousands of smart traders who have improved their trading by reading this book. Amazon best-selling author and retired hedge fund manager, Matthew Kratter will teach you the secrets that he has used to trade profitably for the last 20 years. And if you ever get stuck, you can always reach out to him by email (provided inside of the book), and he will help you. Scroll to the top of this page and click BUY NOW.

    If you have not yet bought the original copy, make sure to purchase it before buying this unofficial summary from aBookaDay. SPECIAL OFFER $2.99 (Regularly priced: $3.99) OVERVIEW This review of The Big Short: Inside the Doomsday Machine by Michael Lewis provides a chapter by chapter detailed summary followed by an analysis and critique of the strengths and weaknesses of the book. The main theme explored in the book is how corruption and greed in Wall Street caused the crash of the subprime mortgage market in 2008. Despite being completely preventable, the big firms in Wall Street chose to ignore the oncoming fall in favor of making money. Michael Lewis introduces characters—men outside of the Wall Street machine—who foresaw the crisis and, through several different techniques, were able to predict how and when the market would fall. Lewis portrays these men—Steve Eisman, Mike Burry, Charlie Ledley, and Jamie Mai—as the underdogs, who were able to understand and act upon the obvious weaknesses in the subprime market. Lewis’s overall point is to demonstrate how the Wall Street firms were manipulating the market. They used loans to cash in on the desperation of middle-to-lower class Americans, and then ultimately relied on the government to bail them out when the loans were defaulted. Using anecdotes and interviews from the men who were involved first-hand, the author makes the case that Wall Street, and how they conducted business in regards to the subprime mortgage market, is truly corrupt beyond repair, and the men he profiles in this novel were trying to make the best out of a bad situation. By having the words from the sources themselves, this demonstrates Lewis’s search for the truth behind what actually happened. Ultimately, we as an audience can not be sure if the intentions of these underdogs were truly good, but Lewis does an admirable job presenting as many sides to the story as possible. The central thesis of the work is that the subprime mortgage crisis was caused by Wall Street firms pushing fraudulent loans upon middle-to-lower class Americans that they would essentially not be able to afford. Several people outside of Wall Street were able to predict a crash in the market when these loans would be defaulted on, and bought insurance to bet against the market (essentially, buying short). Over a time period from roughly 2005-2008, the market crashed and huge banks and firms lost billions of dollars, filed for bankruptcy, or were bailed out by the government. These men, the characters of Lewis’s novel, were able to bet against the loans and made huge amounts of money, but it was not quite an easy journey. Michael Lewis is a non-fiction author and financial journalist. He has written several novels—notably Liar’s Poker in 1989, Moneyball in 2003, and The Blind Side in 2006. Born in New Orleans, he attended Princeton University, receiving a BA degree in Art History. After attending London School of Economics and receiving his masters there, he was hired by Salomon Brothers where he experienced much about what he wrote about in Liar’s Poker. He is currently married, with three children and lives in Berkeley, California. SUMMARY PROLOGUE: POLTERGEIST Michael Lewis begins his tale of the remarkable—and strange—men who predicted the immense fall of the housing market by immediately exposing himself as the exact opposite type of person from them. He explains to the reader that he has no background in accounting, business, or money managing.

    Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians Pascal and Fermat and up to modern chaos theory. Along the way he demonstrates that understanding risk underlies everything from game theory to bridge-building to winemaking.

    Readers profit from its verbal-conceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

    The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results.

    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

    Addressing the growing demand to learn how to manage personal investments and finances, the authors have turned the spotlight on individual rather than institutional investors. Their strong real-word focus includes superior coverage of mutual funds, international investments, and investment decision techniques. The new edition makes use of the Internet through exercises and cross references to Internet resources. An accompanying CD-ROM offers hands-on practice in analyzing companies for investment purposes. All these distinctive features ensure that Fundamentals of Investing will continue to define the market for years to come.

    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.

    This is how engineers calculate your quality of living, how corporations determine your needs, and how politicians estimate your opinions. These are the numbers you never think about-even though they play a crucial role in every single aspect of your life.What you learn may surprise you, amuse you, or even enrage you. But there's one thing you won't be able to deny: Numbers Rule Your World...An easy read with a big benefit. --Fareed Zakaria, CNNFor those who have anxiety about how organization data-mining is impacting their world, Kaiser Fung pulls back the curtain to reveal the good and the bad of predictive analytics. --Ian Ayres, Yale professor and author of Super Crunchers: Why Thinking By Numbers is the New Way to Be Smart A book that engages us with stories that a journalist would write, the compelling stories behind the stories as illuminated by the numbers, and the dynamics that the numbers reveal. --John Sall, Executive Vice President, SAS InstituteLittle did I suspect, when I picked up Kaiser Fung's book, that I would become so entranced by it - an illuminating and accessible exploration of the power of statistical analysis for those of us who have no prior training in a field that he explores so ably. --Peter Clarke, author of Keynes: The Rise, Fall, and Return of the 20th Century's Most Influential EconomistA tremendous book. . . . If you want to understand how to use statistics, how to think with numbers and yet to do this without getting lost in equations, if you've been looking for the book to unlock the door to logical thinking about problems, well, you will be pleased to know that you are holding that book in your hands. --Daniel Finkelstein, Executive Editor, The Times of LondonI thoroughly enjoyed this accessible book and enthusiastically recommend it to anyone looking to understand and appreciate the role of statistics and data analysis in solving problems and in creating a better world. --Michael Sherman, Texas A&M University, American Statistician

    This encouraging change not only has benefited veterans but also provides a blueprint for salvaging America's own deeply troubled healthcare system. "Best Care Anywhere" shows how a government bureaucracy, working with little notice, is setting the standard for best practices and cost reduction while the private sector is lagging in both areas. Author Phillip Longman challenges conventional wisdom by explaining exactly how market forces work to lower quality and raise prices in the healthcare sector, and how U.S. medical practices have a weak basis in science. The book, expanded from a widely praised article in the "Washington Monthly," mixes hard facts with author Philip Longmans' compelling human story of the loss of his wife to cancer. Part manifesto, part moving memoir, "Best Care Anywhere" offers new hope for addressing a major problem of contemporary society that affects all of us.

    How does professional baseball evaluate hitters? Is a singles hitter like Wade Boggs more valuable than a power hitter like David Ortiz? Should NFL teams pass or run more often on first downs? Could professional basketball have used statistics to expose the crooked referee Tim Donaghy? Does money buy performance in professional sports?In Mathletics, Wayne Winston describes the mathematical methods that top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical tools they need to enhance their understanding and enjoyment of their favorite sports--and maybe even gain the outside edge to winning bets. Mathletics blends fun math problems with sports stories of actual games, teams, and players, along with personal anecdotes from Winston's work as a sports consultant. Winston uses easy-to-read tables and illustrations to illuminate the techniques and ideas he presents, and all the necessary math concepts--such as arithmetic, basic statistics and probability, and Monte Carlo simulations--are fully explained in the examples.After reading Mathletics, you will understand why baseball teams should almost never bunt, why football overtime systems are unfair, why points, rebounds, and assists aren't enough to determine who's the NBA's best player--and much, much more.

    Peek behind the counter and learn how sportsbooks operate. Combine that insider knowledge with why-didn’t-I-think-of-that sports betting logic, and you have the winning formula.Ed Miller is a best-selling (over 300,000 copies sold) author of books on poker and gambling. This is his first book on sports betting, but maybe his favorite book to write so far.Matthew Davidow is a sports modeler, using proprietary methods to beat major sports betting markets for over 15 years, and co-founding two leading private sports analytics firms along the way.What people are saying about The Logic Of Sports Betting:"Matt and Ed are two of the smartest minds in sports betting." - Rufus Peabody, professional sports bettor"As a sportsbook employee for 30-plus years, I find it difficult to read or watch anything about sports betting. But I could not put The Logic Of Sports Betting down. It’s that good." - Robert Walker, Las Vegas bookmaker

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

    Written not from a post-crisis perspective – but from a preventative point of view – this book traces the development of financial derivatives from bonds to credit default swaps, and shows how mathematical formulas went beyond pricing to expand their use to the point where they dwarfed the real economy. You'll learn how the deadly allure of their ice-cold beauty has misled generations of economists and investors, and how continued reliance on these formulas can either assist future economic development, or send the global economy into the financial equivalent of a cardiac arrest. Rather than rehash tales of post-crisis fallout, this book focuses on preventing the next one. By exploring the heart of the shadow economy, you'll be better prepared to ride the rough waves of finance into the turbulent future. Delve into one of the world's least-understood but highest-impact industries Understand the key principles of quantitative finance and the evolution of the field Learn what quantitative finance has become, and how it affects us all Discover how the industry's next steps dictate the economy's future How do you create a quadrillion dollars out of nothing, blow it away and leave a hole so large that even years of "quantitative easing" can't fill it – and then go back to doing the same thing? Even amidst global recovery, the financial system still has the potential to seize up at any moment. The Money Formula explores the how and why of financial disaster, what must happen to prevent the next one.