Stock market prediction system wins first prize in undergrad research symposium

The School of Computer Science Undergraduate Research Symposium was held August 28th. 17 students participated, presenting a varied and truly impressive range of high-quality research projects on everything from human genetics to the black hole information paradox. (Click here for a detailed list of talks with their abstracts.)

After lengthy deliberations, a jury consisting of SOCS professors Luc Devroye, Nathan Friedman and Clark Verbrugge awarded prizes to the following students:

1st place: Maxime Chevalier-Boisvert for Machine learning for stock market prediction

2nd place: Maja Frydrychowicz for A logical foundation for authorizing code execution

3rd place: Mazen Al Borno for MATLAB toolbox for solving integer least squares problems

Chevalier-Boisvert made a very convincing presentation, explaining how he had validated his stock market prediction system and showing some promising comparisons with other trading strategies. The details of how it all works are a closely-guarded secret, however, while he tries to track down an investor willing to take a risk on his prediction system.

All three prize-winners will proceed to the Faculty of Science Undergraduate Research Conference.

Congratulations to all the participants!