Computerized Trading

Author : Mark Jurik
Publisher : Penguin Putnam
ISBN 13 :
Total Pages : 442 pages
Book Rating : 4.62/5 ( download)

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Download or read book Computerized Trading written by Mark Jurik and published by Penguin Putnam. This book was released on 1999 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the answers to all your computerized trading questions, from basic to advanced, in this ground-breaking new guide to successful day trading. Twenty top experts reveal their techniques and strategies for successful computerized trading in this practical guide.

Author : Ernie Chan
Publisher : John Wiley & Sons
ISBN 13 : 1118460146
Total Pages : 230 pages
Book Rating : 4.46/5 ( download)

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Download or read book Algorithmic Trading written by Ernie Chan and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader

Author : Stefan Jansen
Publisher : Packt Publishing Ltd
ISBN 13 : 1839216786
Total Pages : 822 pages
Book Rating : 4.87/5 ( download)

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Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ernie Chan
Publisher : Wiley
ISBN 13 : 9780470284889
Total Pages : 0 pages
Book Rating : 4.89/5 ( download)

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Download or read book Quantitative Trading written by Ernie Chan and published by Wiley. This book was released on 2008-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.

Author : Irene Aldridge
Publisher : John Wiley and Sons
ISBN 13 : 0470579773
Total Pages : 258 pages
Book Rating : 4.70/5 ( download)

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Download or read book High-Frequency Trading written by Irene Aldridge and published by John Wiley and Sons. This book was released on 2009-12-22 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency trading. This book covers all aspects of high-frequency trading, from the business case and formulation of ideas through the development of trading systems to application of capital and subsequent performance evaluation. It also includes numerous quantitative trading strategies, with market microstructure, event arbitrage, and deviations arbitrage discussed in great detail. Contains the tools and techniques needed for building a high-frequency trading system Details the post-trade analysis process, including key performance benchmarks and trade quality evaluation Written by well-known industry professional Irene Aldridge Interest in high-frequency trading has exploded over the past year. This book has what you need to gain a better understanding of how it works and what it takes to apply this approach to your trading endeavors.

Author : Barry Johnson
Publisher : 4myeloma Press
ISBN 13 : 9780956399205
Total Pages : 574 pages
Book Rating : 4.07/5 ( download)

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Download or read book Algorithmic Trading & DMA written by Barry Johnson and published by 4myeloma Press. This book was released on 2010 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Laurens Bensdorp
Publisher : Lioncrest Publishing
ISBN 13 : 9781544506012
Total Pages : 206 pages
Book Rating : 4.15/5 ( download)

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Download or read book Automated Stock Trading Systems: A Systematic Approach for Traders to Make Money in Bull, Bear and Sideways Markets written by Laurens Bensdorp and published by Lioncrest Publishing. This book was released on 2020-03-31 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consistent, benchmark-beating growth, combined with reduced risk, are the Holy Grail of traders everywhere. Laurens Bensdorp has been achieving both for more than a decade. By combining multiple quantitative trading systems that perform well in different types of markets--bull, bear, or sideways--his overall systematized and automated system delivers superlative results regardless of overall market behavior. In his second book, Automated Stock Trading Systems, Bensdorp details a non-correlated, multi-system approach you can understand and build to suit yourself. Using historical price action to develop statistical edges, his combined, automated systems have been shown to deliver simulated consistent high double-digit returns with very low draw downs for the last 24 years, no matter what the market indices have done. By following his approach, traders can achieve reliable, superlative returns without excessive risk.

Author : Álvaro Cartea
Publisher : Cambridge University Press
ISBN 13 : 1316453650
Total Pages : 360 pages
Book Rating : 4.50/5 ( download)

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Download or read book Algorithmic and High-Frequency Trading written by Álvaro Cartea and published by Cambridge University Press. This book was released on 2015-08-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.

Author : United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities, Insurance, and Investment
Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.8U/5 ( download)

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Download or read book Computerized Trading written by United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities, Insurance, and Investment and published by . This book was released on 2013 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities, Insurance, and Investment
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.6Y/5 ( download)

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Download or read book Computerized Trading Venues written by United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities, Insurance, and Investment and published by . This book was released on 2013 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: