Sean Emory of Avery discusses the evolution of edge in liquid markets, specifically how to leverage alternative data—from App Store analytics to digital exhaust—to identify fundamental inflection points before they are reflected in the price. We dive deep into Sean’s underwriting process, exploring how institutional investors can use granular data sets to track thesis confirmation and identify a margin of safety in real-time. This conversation provides a technical breakdown of how to separate signal from noise in a market regime increasingly dominated by ultra-short-term microstructure and passive flows.

Sean also breaks down his approach to portfolio construction, comparing the risk-return profiles of highly concentrated strategies versus diversified books. He explains why his firm prioritizes ”the Six Ms” over standard volatility metrics to mitigate the risk of permanent capital impairment, offering a variant view on traditional risk management. The discussion concludes with the operational realities of the active ETF landscape, the impact of generative AI on market efficiency, and the psychological discipline required to maintain alpha when storytelling and euphoria distort traditional valuation frameworks.