作者简介
Dr. Ernest P. Chan, is an expert in the application of statistical models and soft ware for trading currencies, futures, and stocks. He manages a h edge fund and SMAs at QTS Capital Management, LLC. and a financial machine learning SaaS Predictnow.ai. Dr. Chan has built and traded numerous quantitative models for investment banks and hedge funds in the past. He has served individual and institutional clients in Australia, Canada, China, France, India, Israel, Italy, Russia, Singapore, South Africa, the United Kingdom, and the United States since 2006.内容简介
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 info rmation 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 care er at a major financial institution.
Dr. Ernest P. Chan, is an expert in the application of statistical models and software for trading currencies, futures, and stocks. He manages a hedge fund and SMAs at QTS Capital Management, LLC. and a financial machine learning SaaS Predictnow.ai. Dr. Chan has built and traded numerous quantitative models for investment banks and hedge funds in the past. He has served individ...
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