Quantitative Trading: How to Build Your Own Algorithmic Trading Business Hardcover -

From the jacket flap

Algorithmic trading, also known as statistical or quantitative trading, is widely used by pension funds and other institutional investors to maximize returns and minimize risks. But it has traditionally been out of reach for independent, do-it-yourself investors.

In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, statistical trading expert Dr. Ernest P. Chan delivers a step-by-step guide to getting started with quantitative trading. Ideal for independent traders who hope to challenge powerful industry professionals at their own game, or a person who aspires to work as a quantitative trader at a major financial institution, the book walks you through the ins and outs of statistical trading.

The author offers an interactive guide showing readers how to develop their own spreadsheet tools in Excel, Matlab, Python, R, and tutorials on how to develop their own homegrown proprietary trading operations. He also provides downloadable spreadsheets that supplement the material contained in the book.

Quantitative Trading contains updated tests on trading strategies, adding Python and R codes, and a new parameter optimization method using machine learning.

Perfect for current and aspiring quantitative investors and traders, this new edition of Quantitative Trading will also earn a place in the libraries of institutional and individual investors who seek an authoritative and practical source of information on one of the most popular trading strategies in the world today.