FIN 554

fall 2025
 
All Classes
Algorithmic Trading Systems Design and Testing

Credit: 4 hours.

Provides a detailed research process and tools for replicating, assessing, conceptualizing, and developing systematic trading strategies. Students will apply their knowledge in hands-on projects to replicate and evaluate existing research and to create and evaluate a new strategy model. Students will use the R Language for Statistical Computing and Graphics to replicate academic research and evaluate the claims made in papers. Students will also construct a non-trivial strategy from scratch, evaluate the power of each of its components, and examine the likelihood of overfitting. Projects are designed to mimic as closely as possible the day-to-day research activities of working strategy quants, so that students will have practical experience building, testing, and evaluating quantitative models.

Closed
Section Status Closed
Open
Section Status Open
Pending
Section Status Pending
Open (Restricted)
Section Status Open (Restricted)
Unknown
Section Status Unknown
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