Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Member Benefits
30% Off All Books - Savings that support storytellers, not stock prices.
Fight Book Bans - Every membership sends a book to LGBTQ+ youth in affected states.
Couldn't load pickup availability
Description
Description
Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field
In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.
You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as:
- Updated back tests on a variety of trading strategies, with included Python and R code examples
- A new technique on optimizing parameters with changing market regimes using machine learning.
- A guide to selecting the best traders and advisors to manage your money
Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.
About the Author
About the Author
ERNEST P. CHAN, PhD, is an expert in the application of statistical models and software for trading currencies, futures, and stocks. He holds a doctorate in theoretical physics from Cornell University and is Managing Member of investment management firm QTS Capital Management and founder of financial machine learning firm Predictnow.ai.
Publishing Information
Publishing Information
The Allstora Membership
Membership Perks:
- Save 30% on all online store purchases
- Exclusive access to author's content
- You pay less, but authors still earn double
Membership Terms:
- To access membership discount simply log in and add to cart, discount applied automatically.
- One month free trial, cancel anytime. Membership renews on the 15th of each month.