In this book, subtitled "Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis", authors Sebastien Donadio and Sourav Ghosh explain concepts including trading signals and predictive models to show how modern electronic trading markets and participants operate. They go on to show how to build algorithmic trading robots which require no human intervention, and covers the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated trading business.
<ASIN:178934834X>
Author: Sebastien Donadio and Sourav Ghosh Publisher: Packt Publishing Date: Nevember 2019 Pages: 394 ISBN: 978-1789348347 Print: 178934834X Kindle: B07ZRRFH74 Audience:Software engineers, financial traders and data analysts Level: Intermediate Category: General interest
- Understand the components of modern algorithmic trading systems and strategies
- Apply machine learning in algorithmic trading signals and strategies using Python
- Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more
- Quantify and build a risk management system for Python trading strategies
- Build a backtester to run simulated trading strategies for improving the performance of your trading bot
- Deploy and incorporate trading strategies in the live market to maintain and improve profitability
For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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