Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

Play Money explores a remarkable new phenomenon that's just beginning to enter public consciousness: MMORPGs, or Massively MultiPlayer Online Role-Playing Games, in which hundreds of thousands of players operate fantasy characters in virtual environments the size of continents. With city-sized populations of nearly full-time players, these games generate their own cultures, governments, and social systems and, inevitably, their own economies, which spill over into the real world. The desire for virtual goods -- magic swords, enchanted breastplates, and special, hard-to-get elixirs -- has spawned a cottage industry of "virtual loot farmers": People who play the games just to obtain fantasy goods that they can sell in the real world. The best loot farmers can make between six figures a year and six figures a month.Play Money is an extended walk on the weird side: a vivid snapshot of a subculture whose denizens were once the stuff of mere sociological spectacle but now -- with computer gaming poised to eclipse all other entertainments in dollar volume, and with the lines between play and work, virtual and real increasingly blurred -- look more and more like the future.

El day trading consiste en comprar y vender instrumentos financieros en el mismo día de negociación. Los operadores aprovechan las pequeñas oscilaciones de los precios y apalancan grandes cantidades de capital para hacerlo. A diferencia de las inversiones a largo plazo, el day trading exige decisiones rápidas, una supervisión constante y un enfoque estratégico para gestionar los riesgos y aprovechar las oportunidades a corto plazo. Para destacar en este campo, uno debe desarrollar continuamente sus habilidades, adaptarse a la nueva información y mantener la disciplina necesaria para ejecutar sus estrategias de negociación con eficacia. Aunque esta breve guía es sólo un punto de partida, los interesados deben buscar estudios más detallados y considerar la posibilidad de adquirir experiencia práctica mediante simulación antes de comprometer capital real.

A step-by-step system for mastering trading psychology. Think about your most costly and recurring trading mistakes. Chances are that they’re related to common errors, such as chasing price, cutting winners short, forcing mediocre trades, and overtrading. You’ve likely tried to fix these errors by improving your technical skills, and yet they persist. That’s because the real source of these mistakes is not technical—they actually stem from greed, fear, anger, or problems with confidence and discipline. If you are like most traders, you probably overlook or misunderstand mental and emotional obstacles. Or worse, you might think you know how to manage them, but you don’t, and end up losing control at the worst possible time. You’re leaving too much money on the table, which will either prevent you from being profitable or realizing your potential. While many trading psychology books offer sound advice, they don’t show you how to do the necessary work. That’s why you haven’t solved the problems hurting your performance. With straight talk and practical solutions, Jared Tendler brings a new voice to trading psychology. In The Mental Game of Trading, he busts myths about emotions, greed, and discipline, and shows you how to look past the obvious to identify the real reasons you’re struggling. This book is different from anything else on the market. You’ll get a step-by-step system for discovering the cause of your problems and eliminating them once and for all. And through real stories of traders from around the world who have successfully used Tendler’s system, you’ll learn how to tackle your problems, improve your day-to-day performance, and increase your profits. Whether you’re an independent or institutional trader, and regardless of whether you trade equities, forex, or cryptocurrencies, you can use this system to improve your decision-making and execution. Finally, you have a way to reach your potential as a trader. Now’s the time to make it happen.

A Vintage Shorts Selection • Almost three decades ago, iconic and incomparable American essayist Joan Didion’s now-classic report from the Dukakis campaign trail exposed, in no uncertain terms, the complete sham that is the modern American presidential run. Writing with bite and some humor too, Didion betrays “the process”—the way in which power is exchanged and the status quo is maintained. All insiders—politicians, journalists, spin doctors—participate in a political narrative that is “designed as it is to maintain the illusion of consensus by obscuring rather than addressing actual issues.” The optics of presidential campaigns have grown ever more farcical and remote from the needs and issues most relevant to Americans’ lives, and Didion’s elegant, shrewd, and prescient commentary has never been more urgent than it is right now. An ebook short.

INSTANT NEW YORK TIMES BESTSELLER "My Body offers a lucid examination of the mirrors in which its author has seen herself, and her indoctrination into the cult of beauty as defined by powerful men. In its more transcendent passages . . . the author steps beyond the reach of any 'Pygmalion' and becomes a more dangerous kind of beautiful. She becomes a kind of god in her own right: an artist." —Melissa Febos, The New York Times Book Review A "MOST ANTICIPATED" AND "BEST OF FALL 2021" BOOK FOR * VOGUE * TIME * ESQUIRE * PEOPLE * USA TODAY * CHICAGO TRIBUNE * LOS ANGELES TIMES * SHONDALAND * ALMA * THRILLEST * NYLON * FORTUNE A deeply honest investigation of what it means to be a woman and a commodity from Emily Ratajkowski, the archetypal, multi-hyphenate celebrity of our time Emily Ratajkowski is an acclaimed model and actress, an engaged political progressive, a formidable entrepreneur, a global social media phenomenon, and now, a writer. Rocketing to world fame at age twenty-one, Ratajkowski sparked both praise and furor with the provocative display of her body as an unapologetic statement of feminist empowerment. The subsequent evolution in her thinking about our culture’s commodification of women is the subject of this book. My Body is a profoundly personal exploration of feminism, sexuality, and power, of men's treatment of women and women's rationalizations for accepting that treatment. These essays chronicle moments from Ratajkowski’s life while investigating the culture’s fetishization of girls and female beauty, its obsession with and contempt for women’s sexuality, the perverse dynamics of the fashion and film industries, and the gray area between consent and abuse. Nuanced, fierce, and incisive, My Body marks the debut of a writer brimming with courage and intelligence.