About

Stock Predictor began as a graduate research project in the Department of Computer Science at Cornell University in August, 2010. Steve Spagnola is the sole author who applied his Master's Research in Artificial Intelligence with financial markets as a course project for CS 6780: Advanced Machine Learning. The project's initial intent was to predict stock price volatility as a function of news unexpectedness, but later evolved to predict price direction to generate better-than-chance signals for a stock's expected intraday change. Using this technology, Steve spent the earlier part of 2011 to develop trading strategies from the intraday signals, running the algorithm live in July, 2011 and maintaining it since then.

Steve Spagnola
Founder & Chief Executive Officer
Master of Engineering, Cornell University
Calculating Semantic Similarity in ConceptNet

Ashutosh Saxena
Advisor (Machine Learning)
Doctor of Philosophy, Stanford University
Robot & Machine Learning Projects

Carlos Castellanos
Financial Analyst & Trading Consultant
MBA Candidate, University of Chicago
Booth School of Business