Artificial Intelligence on Wall Street - Learn from a Recognized Expert: A Webinar with Dr. Ernest Chan
Machine Learning has fundamentally changed the trading world. But how exactly is it used to generate trading strategies? What factors are those strategies based on? What are the common pitfalls and how to avoid them?
Learn from an expert. Have your questions answered by Dr. Ernest Chan, a hedge fund manager and an accomplished author in his live webinar this Thursday, June 22nd @ 8 PM ET.
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About Dr. Ernest Chan:
- Managing Member of QTS Capital Management, LLC
- Worked for various investment banks (Credit Suisse, Morgan Stanley…) and hedge funds (Mapleridge, Millennium Partners…)
- PhD in Theoretical Physics, Cornell University
- Author of "Quantitative Trading: How to Build Your Own Algorithmic Trading Business", "Algorithmic Trading: Winning Strategies and Their Rationale", and, recently, “Machine Trading”
Who should come to the webinar:
- Analysts and finance professionals interested in Machine Learning and its applications.
- Programmers with an interest in Machine Learning.
- Traders with questions about trading ideas and strategy development.
- Students and academics.
What will you learn:
- The pros and cons of applying Machine Learning to trading and investing.
- What are the best types of data for Machine Learning algorithms?
- What are the most useful Machine Learning algorithms to traders and investors?
- Can the machine really replace humans in trading?
After you buy:
- You’ll get a link to a confirmation email.
- 15 minutes before the webinar, an invitation to join the video conference will be sent to your email address.
- You can ask your questions after the presentation.
- Recording of the webinar will be sent to your email.
- Get ahead in your trading game.
- 100% proceeds go to charity.
This one-hour session, including a 45-minute presentation and 15 minute Q&A session, will begin at 8 PM ET, Thursday, June 22nd.
Get the insider scoop on AI on Wall Street. Learn from a recognized expert. Have your questions answered. What are you waiting for?