Joe Boyd
Adjunct
Department of Finance and Accounting
Saunders College of Business
Currently Teaching
FINC-425
Stock Market Algorithmic Trading
3 Credits
The course is a “hands-on” lab-based class designed to help students develop algorithmic trading strategies to invest in the stock market that can be implemented by retail and professional traders.The course has a strong emphasis on practical application with the purpose of building marketable skills for careers in finance. Students learn how to design algorithmic trading models through the use of a computerized trading platform that allows back-testing of data on thousands of different stocks. The software platform includes an automated wizard for building advanced technical trading models without programming knowledge; but also has an embedded programming language, similar to C-sharp, for those students that have those skills and elect to use them. (Knowledge of programming is not required; and there are no pre or co-requisites; but a laptop is strongly recommended.).