Python for Algorithmic Trading: From Idea to Cloud Deployment

by Yves Hilpisch

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.

Genres: Finance, Programming, Software, Science, Computer Science

378 pages, Paperback

Published December 22, 2020

Reviews

[Ferhat Culfaz · Rating 3 out of 5]

4* if you don't own Python for Finance second edition. 3* if you already do. Thinner content but covers all round algorithm types from SMA crossover, mean reversion and momentum strategies. How to practically back test and then deploy algorithms Inna step by step fashion. Up to date. Good references inside.

[Leonardo · Rating 4 out of 5]

Shallow on the ML part, good on the backtest and data storage. If you're not a professional practitioner, you'll likely learn something

[Bru · Rating 5 out of 5]

Really flexible and approachable projects. Helpful libraries and good resources throughout. Fun mix of AI, data vis, and market analysis.