FNCE 449/668 Trading and Market Data Management

This course covers leverages experiential learning concepts to provide students with the opportunity to construct and implement computer algorithms for analysing extensive financial data sets. Students will use large trade and quote data sets from sources like Databento to implement trading algorithms, including ones relying on machine learning techniques. The course includes hands-on trading simulations using Rotman Interactive Trader software, mimicking real trading floor dynamics for investment and risk management.

Marius Zoican
Marius Zoican
Associate Professor of Finance

I study the impact of (new) technology on securities exchanges and asset management, as well as how to leverage technological innovations to build a better market.