Systematic Mean Reversion & Cointegration Trading

Systematic Mean Reversion & Cointegration: From Statistical Tests to Trade Execution (Recording)

Most people talk about mean reversion like it’s a buzzword. In reality, it’s one of the few phenomena in markets that consistently scales across stat-arb, relative value, pairs trading, and high-frequency market making — but only if you know how to test it, validate it, and execute it without bleeding edge, spread, and slippage.

This session drills straight into the mechanics of mean reversion and cointegration from a practitioner who’s built and traded these models at places likes of Citadel, and Exodus Point.

Speaker: Dr. Nick Firoozye

Dr. Nick Firoozye has over 20 years of experience in the finance industry across both buy-side and sell-side firms. He started at Lehman Brothers in MBS/ABS modeling and later held senior roles in Quant Research and Strategy at Goldman Sachs and Deutsche Bank. He also worked at asset managers and hedge funds like Sanford Bernstein, Citadel, and Exodus Point, focusing on quantitative strategies and trading.

We’ll break down:

1. What “mean reversion” actually means in statistical terms — not the loose textbook version
2. How cointegration provides structure for multi-asset and spread-based strategies
3. Testing frameworks that avoid false positives and overfitting traps
4. When mean reversion fails, how to detect regime shifts, and how not to blow up
5. Execution constraints: slippage, adverse selection, and why most paper models die in production
6. Concrete examples of how to convert statistical signals into systematic trading rules

Who Is It For?

This webinar is built for people who actually want to trade or build serious models, not passive spectators:

1. Quant researchers and data scientists
2. Algorithmic traders and systematic PMs
3. HFT and market-making practitioners
4. Students and early-career quants aiming to break into stat-arb or derivatives roles
5. Portfolio managers exploring relative value or multi-asset signals
6. Anyone who wants to systematise mean-reversion strategies with proper validation and execution logic

If you want a surface-level introduction, this is not it. If you want a rigorous, practitioner-grade breakdown from someone who has built these models at Citadel, and Exodus Point — you’re in the right place.

If you’re serious about building or improving quantitative trading strategies, this session will force you to rethink your assumptions and show you how real desks evaluate and scale mean-reverting signals.