Skip to Content
Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Alternative algorithmic trading libraries

Additional open-source Python libraries for algorithmic trading and data collection include (see links on GitHub):

  • QuantConnect is a competitor to Quantopian
  • WorldQuant offers online competition and recruits community contributors to a crowd-sourced hedge fund
  • Alpha Trading Labs offers high-frequency focused testing infrastructure with a business model similar to Quantopian
  • Python Algorithmic Trading Library (PyAlgoTrade) focuses on backtesting and offers support for paper-trading and live-trading. It allows you to evaluate an idea for a trading strategy with historical data and aims to do so with minimal effort.
  • pybacktest is a vectorized backtesting framework that uses pandas and aims to be compact, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning for Algorithmic Trading - Second Edition

Machine Learning for Algorithmic Trading - Second Edition

Stefan Jansen

Publisher Resources

ISBN: 9781789346411Supplemental Content