Program(s): Undergraduate Courses
*Taught Online* This course teaches quantitative finance and algorithmic trading with an approach that emphasizes computation and application. The first half of the course focuses on designing, coding, and testing automated trading strategies in Python, with particular consideration to market models, infrastructure, and order execution. The second half of the course builds on this by covering case studies in quantitative investment that illustrate key issues in allocation, attribution, and risk management. Students will have the chance to learn classic models as well as more modern, computational approaches, all illustrated with application.
Remote or Residential
Course Considerations
Statistics, math, finance and Python programming will be featured. Familiarity in some of these areas is helpful, but there are not strict pre-reqs. Some experience in regression and programming is highly recommended. But the course is accessible to motivated students still new to some of these areas.
Course Overview
Start Date
End Date
August 09
Current Grade / Education Level
Program
Class Details
Course Code
Class Day(s)
Class Duration (CST)
9:00 P.M.