Machine Learning In Trading Q&A By Dr. Ernest P. Chan

1 min read

Tuesday, June 11, 2019 at 11:00 AM ET | 8:30 PM IST | 10:00 PM SGT

Overview

In our webinars, we try to cater to all the questions/queries sent in by the attendees. Some questions are common to a lot of people while some are exclusive and niche. Both types of questions bring new perspectives to all the participants and shed more clarity on the topic. 

This Q&A session on Machine Learning in Trading, with Dr. Ernest Chan was the perfect opportunity to ask him any query pertaining to this topic. 

It was helpful to those who wish to apply their technical skills in AI, Cloud, Machine Learning etc. to Financial Markets or aspire to belong to the algorithmic trading community. 

Event Specifications

  • Questions were shortlisted prior to the webinar.
  • Questions were specific to the following categories: Artificial Intelligence, Machine Learning, Deep Learning, and their application in the Financial Markets. 

Presentation

You can check out the powerpoint presentation for this webinar here:

Check out all of our 40+ previous webinar powerpoint presentations on Slideshare here: https://www.slideshare.net/QuantInsti/presentations

Speaker Profile

Dr. Ernest P Chan is the Managing Member of QTS Capital Management, LLC. He has worked for various investment banks (Morgan Stanley, Credit Suisse, Maple) and hedge funds (Mapleridge, Millennium Partners, MANE) since 1997. 

Dr. Chan received his PhD in Physics from Cornell University and was a member of IBM’s Human Language Technologies group before joining the financial industry. He was a co-founder and principal of EXP Capital Management, LLC, a Chicago-based investment firm.

Chan is also the author of Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley), Algorithmic Trading: Winning Strategies and Their Rationale and his third and latest book is on Machine Trading: Deploying Computer Algorithms to Conquer the Markets. He is a popular financial blogger at http://epchan.blogspot.com.