Description: Hands-On Financial Trading with Python A practical guide to using Zipline and other python libraries for backtesting trading strategies Free PostageProduct InformationDiscover how to build and backtest algorithmic trading strategies with Zipline Key Features Get to grips with market data and stock analysis and visualize data to gain quality insights Find out how to systematically approach quantitative research and strategy generation/backtesting in algorithmic trading Learn how to navigate the different features in Python's data analysis libraries Book DescriptionAlgorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization. What you will learn Discover how quantitative analysis works by covering financial statistics and ARIMA Use core Python libraries to perform quantitative research and strategy development using real datasets Understand how to access financial and economic data in Python Implement effective data visualization with Matplotlib Apply scientific computing and data visualization with popular Python libraries Build and deploy backtesting algorithmic trading strategies Who this book is forThis book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python's core libraries. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. Beginner-level working knowledge of Python programming and statistics will be helpful.Product IdentifiersPublisherPackt PublishingISBN-139781838982881eBay Product ID (ePID)14046605981Product Key FeaturesPublication NameHands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategiesFormatPaperbackLanguageEnglishSubjectTechnology, Finance, Computer SciencePublication Year2021TypeTextbookAuthorSourav Ghosh, Jiri PikNumber of Pages360 PagesDimensionsItem Height93mmItem Width75mmAdditional Product FeaturesTitle_AuthorSourav Ghosh, Jiri PikCountry/Region of Manufacture
Price: 25 GBP
Location: Norwich
End Time: 2024-11-13T18:06:23.000Z
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EAN: 9781838982881
ISBN: 9781838982881
Package Dimensions LxWxH: 9.25x7.56x1.06 Inches
Weight: 1.52 Pounds
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Brand: None
Item Height: 93 mm
Item Width: 75 mm
Author: Sourav Ghosh, Jiri Pik
Publication Name: Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
Format: Paperback
Language: English
Publisher: Packt Publishing
Subject: Technology, Finance, Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 360 Pages
