Come and Meet us in Boston
Leveraging Central Bank and Corporate Communications with Machine Learning for Investment Decision Making
- Evan Schnidman, Ph.D. (Prattle)
- Erez Katz (Lucena Research)
- Tucker Balch, Ph.D. (Lucena Research)
- Date/Time: 11/28/2017 5:00 to 7:00PM
- November 28, 2017
- MCLE New England 10 Winter Place,
- Boston, MA 02108
In this presentation, leaders from two emerging FinTech firms -- Prattle and Lucena Research -- show how they have joined forces on the Nasdaq Analytics Hub to advance predictive analytics with machine learning. Prattle and Lucena will review how they have created unique and effective investment signals for various asset types. In addition, you will learn more about the Nasdaq’s Analytics Hub and its unique capabilities.
Prattle signals include macroeconomic and foreign exchange signals derived from central bank communications, as well as equity signals derived from corporate earnings communications.The process begins with a central bank official’s speech, or a CEO’s earnings call. These public communications are analyzed by Prattle’s proprietary natural language processing algorithms to yield quantitative sentiment scores. Lucena then converts the scores into actionable intelligence for specific investment in markets, sectors, currencies, commodities and individual stocks. Ultimately the data is then offered through intelligent daily data feeds on the Nasdaq Analytics Hub.
This presentation will showcase how Lucena has partnered with Nasdaq to separate actionable intelligence from noise.
Evan A. Schnidman, Ph.D.
Founder and CEO, Prattle
Before starting Prattle, Evan taught at Brown University and Harvard University. Co-author of How the Fed Moves Markets, Evan is also widely published in macroeconomics, political economy, and finance publications. Along with being a respected academic, author, and researcher, Evan is also an experienced consultant for large corporations and financial institutions.
Tucker Balch, Ph.D, Chief Scientist
Tucker Balch, Ph.D. is a former F-15 pilot, professor at Georgia Tech, and co-founder and CTO of Lucena Research, an investment software startup. His research focuses on topics that range from the understanding social animal behavior to the challenges of applying Machine Learning to Finance. His online course, Computational Investing Part I, is the most popular online course offered by Georgia Tech and one of the most popular at coursera.com with over 175,000 students enrolled. Balch holds B.S. and Ph.D. degrees in Computer Science from Georgia Tech. Honors include the NSF CAREER Award, the Georgia Tech Outstanding Service Award and a distinguished graduate designation from the USAF in Undergraduate Pilot Training. Tucker has authored over 150 technical papers, journal articles and books, including the recent book What Hedge Funds Really Do with Philip Romero. His work has been reported in the popular press and TV including on CNN, in Institutional Investor, the New York Times and the New Scientist.
Erez Katz, CEO
Erez Katz is an accomplished serial entrepreneur and a C-level executive with a proven track record of effective leadership, instilling operation efficiencies and driving profitable growth. Erez is the active CEO and Co-Founder of Lucena research and was instrumental in architecting and designing Lucena's flagship product QuantDesk®. Today, Erez shares his expertise in applying Lucena's technology to help investment professionals generate Alpha, minimize risk via portfolio optimization and construct new portfolios using predictive analytics and machine learning technology. Prior to co-founding Lucena with Dr. Tucker Balch, Erez was the founder of Objectware Inc, a web technology company, which was sold in 2007 to Bridgeline Digital. Erez was instrumental in growing Bridgeline and in its transition to the public domain on Nasdaq. Erez also assumed Bridgeline’s Chief Operating Officer through 2011.
Please join us on November 28, 2017 in Boston. Be sure to register before the symposium sells out.
Date/Time: 11/28/2017 5:00 to 7:00PM
MCLE Building 10 Winter Pl,
Boston, MA 02108
Interested parties can register for the Symposium here.