Paperback or Softback. Condition: New. Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning 1.35. Book. Seller Inventory # BBS-9781484296745

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Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning [Paperback] Liu, Peng

Liu, Peng

Published by Apress, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Seller Inventory # OTF-S-9781484296745

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Quantitative Trading Strategies Using Python : Technical Analysis, Statistical Testing, and Machine Learning

Liu, Peng

Published by Apress, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

Liu, Peng

Published by Apress, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

Liu, Peng

Published by Apress, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Quantitative Trading Strategies Using Python : Technical Analysis, Statistical Testing, and Machine Learning

Liu, Peng

Published by Apress, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Quantitative Trading Strategies Using Python (Paperback)

Peng Liu

Published by APress, Berkley, 2023

ISBN 10: 1484296745 ISBN 13: 9781484296745

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Paperback. Condition: new. Paperback. Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.Part one of Quantitative Trading Strategies with Python covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part two introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. Part three covers more advanced topics, including statistical arbitrage using hypothesistesting, optimizing trading parameters using Bayesian optimization, and generating trading signals using a machine learning approach. Whether you're an experienced trader looking to automate your trading strategies or a beginner interested in learning quantitative trading, this book will be a valuable resource. Written in a clear and concise style that makes complex topics easy to understand, and chock full of examples and exercises to help reinforce the key concepts, youll come away from it with a firm understanding of core trading strategies and how to use Python to implement them.What You Will LearnMaster the fundamental concepts of quantitative tradingUse Python and its popular libraries to build trading models and strategies from scratchPerform data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning for trading strategies using PythonUtilize common trading strategies such as trend-following, momentum trading, and pairs tradingEvaluate different quantitative trading strategies by applying the relevant performance measures and statistics in a scientific manner during backtestingWho This Book Is ForAspiring quantitative traders and analysts, data scientists interested in finance, and researchers or students studying quantitative finance, financial engineering, or related fields. Beginning-Intermediate Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781484296745

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