IEOR 198 · Introduction to Quantitative Finance · Spring 26
Fundamentals that lead to real knowledge
Chunked lessons from basic economics to ML and backtesting — aligned with Berkeley IEOR 198 and your final project (pairs trading, stat arb, multifactor models, and more).
How this site supports IEOR 198
IEOR 198 aligned
UC Berkeley Intro to Quantitative Finance — economics through ML, built for the Spring 26 final project.
Fundamentals first
Probability, portfolios, risk, stochastic processes, derivatives — then pairs trading, stat arb, and backtesting.
Quant firm founder track
Module 2 — build an algorithmic trading firm: systems, people, risk culture, outreach.
Final project ready
Module 15 walks through project structure, OOS validation, and honest research (3–6 hours, groups of 1–4).
Built for ADHD brains
Short chunks, quick checks, optional deep dives. One idea per screen.
14 modules · 55 lessons
Economics → theory → quant strategies → Lab 1 backtesting → final project guide → Return State Team & IronFlow Live applied labs.