Download the fantastic book titled Python for Algorithmic Trading written by Yves Hilpisch, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Python for Algorithmic Trading", which was released on 12 November 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Python for Algorithmic Trading by Yves Hilpisch PDF
Algorithmic 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
Detail About Python for Algorithmic Trading PDF
- Author : Yves Hilpisch
- Publisher : O'Reilly Media
- Genre : Computers
- Total Pages : 380 pages
- ISBN : 1492053325
- Release Date : 12 November 2020
- PDF File Size : 44,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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