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Python for Algorithmic Trading : From Idea to Cloud Deployment by Yves J. Hilpisch (2020, Trade Paperback)
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-10149205335X
ISBN-139781492053354
eBay Product ID (ePID)9050381981
Product Key Features
Number of Pages378 Pages
LanguageEnglish
Publication NamePython for Algorithmic Trading : from Idea to Cloud Deployment
Publication Year2020
SubjectFinance / General, Computer Science, E-Commerce / Online Trading, Desktop Applications / Personal Finance Applications
TypeTextbook
Subject AreaComputers, Business & Economics
AuthorYves J. Hilpisch
FormatTrade Paperback
Dimensions
Item Height0.8 in
Item Weight23.1 Oz
Item Length9.2 in
Item Width7.4 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2021-276792
Dewey Edition23
IllustratedYes
Dewey Decimal332.640285
SynopsisAlgorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms
LC Classification NumberHG4515.5
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