Python for Algorithmic Trading: From Idea to Cloud Deployment (True AZW3)

[LeeAndro]

English | November 12th, 2020 | ISBN: 149205335X | 380 pages | AZW3 (True) | 10 MB

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, acads, 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 strats 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 strats, 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 strats
Generate market predictions by using machine learning and deep learning
Tackle real- processing of streaming data with socket programming tools
Implement automated algorithmic trading strats with the OANDA and FXCM trading platforms



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