An interactive guide to successfully trading in today's markets Mastering the Art of Equity Trading Through Simulation is a guidebook to interactive computer trading simulation designed to provide participants with hands-on experience in making tactical decisions and implementing them in different market environments-from continuous order drive markets to call auction markets, and from dealer markets to dark liquidity pools. By showing traders how to operate in these different markets, this reliable resource quickly reveals a good deal about what trading involves and how market design impacts trading decisions. Provides a virtual platform that gives users hands-on experience in making tactical trading decisions Shows exactly how prices are established in the marketplace Teaches how the structure of a marketplace influences participant decisions Learning to trade through study is like learning about a roller coaster ride verbally. You may get the idea of going up and down and around curves, but will lack the actual experience. Mastering the Art of Equity Trading Through Simulation will get you as close as possible to the markets-without actually going in them-and prepare you to profit once you're really there.
A timely guide that bridges the gap between microeconomic theory and practice through real-world application in the marketplace Understanding how microeconomics affects the marketplace is essential for any investment professional, however most books simply address microeconomics in its pure theory-based form. Micro Markets helps bridge the gap between theory and practice by defining microeconomics in terms of real-world, market applications. This timely guide elucidates basic microeconomic concepts with an emphasis on applicability. It establishes a common application for all of the basic economic concepts that are reviewed, and provides in-depth insights into an industry that is of major economic importance in aggregate, and to most individuals. Utilizes equity market realities to underscore the relevance of economic theory Each chapter includes informative practice problems and power points A companion Workbook, with practice problems and solutions, is also available By taking microeconomic theory and making it applicable to today's marketplace, Micro Markets builds a much-needed bridge between theory and practice.
Get a comprehensive course in equity trading with this book and CD-ROM combination. Providing in-depth insight and practical knowledge, the authors walk you through the dynamics of this market and the mechanics of trading -- from entering a trade to following the market and profitably exiting a position. The companion TraderEx CD-ROM features a computer-driven trade simulator that offers hands-on experience in making tactical trading decisions in different market situations. Each chapter of the book works in combination with the simulation software so both novice and experienced traders learn to be versatile and successful in their purchasing and selling decisions.
Trading for a Living Successful trading is based on three M's: Mind, Method, and Money. Trading for a Living helps you master all of those three areas: * How to become a cool, calm, and collected trader * How to profit from reading the behavior of the market crowd * How to use a computer to find good trades * How to develop a powerful trading system * How to find the trades with the best odds of success * How to find entry and exit points, set stops, and take profits Trading for a Living helps you discipline your Mind, shows you the Methods for trading the markets, and shows you how to manage Money in your trading accounts so that no string of losses can kick you out of the game. To help you profit even more from the ideas in Trading for a Living, look for the companion volume--Study Guide for Trading for a Living. It asks over 200 multiple-choice questions, with answers and 11 rating scales for sharpening your trading skills. For example: Question Markets rise when * there are more buyers than sellers * buyers are more aggressive than sellers * sellers are afraid and demand a premium * more shares or contracts are bought than sold * I and II * II and III * II and IV * III and IV Answer B. II and III. Every change in price reflects what happens in the battle between bulls and bears. Markets rise when bulls feel more strongly than bears. They rally when buyers are confident and sellers demand a premium for participating in the game that is going against them. There is a buyer and a seller behind every transaction. The number of stocks or futures bought and sold is equal by definition.
For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce.
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.
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
An insider's view of how to develop and operate an automated proprietary trading network Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture. Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale. Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it.
A newly expanded and updated edition of the trading classic, Design, Testing, and Optimization of Trading Systems Trading systems expert Robert Pardo is back, and in The Evaluation and Optimization of Trading Strategies, a thoroughly revised and updated edition of his classic text Design, Testing, and Optimization of Trading Systems, he reveals how he has perfected the programming and testing of trading systems using a successful battery of his own time-proven techniques. With this book, Pardo delivers important information to readers, from the design of workable trading strategies to measuring issues like profit and risk. Written in a straightforward and accessible style, this detailed guide presents traders with a way to develop and verify their trading strategy no matter what form they are currently using–stochastics, moving averages, chart patterns, RSI, or breakout methods. Whether a trader is seeking to enhance their profit or just getting started in testing, The Evaluation and Optimization of Trading Strategies offers practical instruction and expert advice on the development, evaluation, and application of winning mechanical trading systems.
