ECON 455
Artificial Intelligence Agents in Finance
Lecture.
Winter 2027: 1 section. It is open. The oldest of these readings was 4 hours ago.
Grades
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Workload and assignments
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What comes first
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Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, three hours. Limited to Master of Quantitative Economics students. Study bridges quantitative trading and artificial intelligence (AI) capabilities by equipping students with skills to design and implement agentic AI systems for financial markets. While conventional approaches rely on humans to interpret news, analyze information, and adjust strategies, study demonstrates how large language model (LLM)-based agents can automate these cognitive tasks while maintaining the rigorous backtesting and execution standards of quantitative finance. Students build physical systems that demonstrate how artificial intelligence can augment—not replace—human decision-making in trading. Emphasis on hands-on implementation, culminating in each student creating their own agent-based trading system that processes real alternative data and executes strategies using reinforcement learning frameworks. Letter grading.
Sections in Winter 2027
Seat counts as of . Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Seats
Open100 seats left.
0 of 100 enrolled
Seat risk
low risk
From the people who took it
Student reviews
What taking ECON 455 was like: the work, the teaching, and what students wish they’d known.
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Seats over time in Winter 2027
How each lecture has filled since dibs first saw it.
A dot is a reading where something moved: the seat count, the status, or the waitlist.
What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 80 · Tornell, A. · 0 of 100 enrolled
Nothing read since 20 Oct, 4 hours ago. Over less than a minute before that, unchanged.
Both readings say 0 of 100.
How readings and alerts work
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