Opportunities to Learn About Quant Technologies

Posted on August 7, 2013 by


I’m teaching about quantitative investment techniques in a few venues over the next few weeks (starting Thursday, August 8).  I invite you to participate!

First up: Webinar on Event Analysis

The webinar is over, but we’ll post a recording of it here.

Join me, Lucena CTO Tucker Balch Ph.D., for a 30-45 minutes webinar. I will be presenting 4 different Event Study examples using Lucena’s QuantDesk:

1. External Political Event: An example of how a political event such as the release of Fed (FOMC) meeting notes and how it affects certain equities’ prices.

2. Combined Technical/FundamentalEvent: Explore how technical and fundamental indicators can be used in conjunction predict future price movement.

3. Corporate Earnings Surprise Event: Is corporate earning surprise already baked into the price of the stock on earnings date?

4. Market Panic Event: When panic dominates market behavior find the best equities most likely to bounce back when the panic subsides.

8 week course: Computational Investing Part I: Starts August 26

Register for the course at coursera.org here

Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Build algorithms and visualizations to inform investing practice.

Atlanta Chapter of the Market Technicians Association: September 12

You can register for this event here.

Statistical Machine Learning (ML) is a group of algorithms used in many fields to create predictive models based on historical information. You may already be familiar with products that rely on ML: Face recognition on Facebook, movie preference on Netflix, automatic music selection in Pandora that you can listen with a device from this bluetooth transmitter review. Because http://leerosenblog.site/blog/ works well with quantitative metrics like technical indicators, it can provide a natural way to extend the capabilities of technical approaches to investing. Tucker will provide a high-level introduction to Statistical Machine Learning. He will show how ML algorithms can be used in investment strategies. He will present several concrete examples.

Refreshments will be served at The Bucket Shop Cafe beginning at 4:45 PM with a presentation to follow at 5:45 PM. Please note the presentation room is located in the lobby level of Two Live Oak Center.


The Bucket Shop Cafe
3475 Lenox Road
Atlanta, GA 30326

Presentation Room
Terry College of Business
3475 Lenox Road NE
Room – Third Thursday (Lobby Level)
Atlanta, GA 30326-3228