Uzi Hadar, CFA, is a portfolio manager at Duo Reges Capital Management, a Seattle-based long-short quantamental investment management firm that seeks to exploit human-machine collaboration gaps created by rule or model-based trading. Duo Reges, which means "two kings" in Latin, focuses on the “hard edges” of how humans and machines collaborate in the financial markets, both successfully and unsuccessfully. Its core strategy is to forecast the resulting long and short momentum by clustering market participants into “personas” to which it recommends securities they will like (longs) or dislike (shorts). Hadar has 20 years' experience as a seasoned alternative investments executive leading both liquid and illiquid strategies including as a private equity sponsor and advisor. He also has a background in investment banking and has advised and collaborated extensively with emerging growth companies, industry leaders, alternative investment firms, family offices, and institutional investors. Hadar earned his MBA from the Darden School at the University of Virginia.
How can we leverage the fact that machine learning, alternative data, and AI are not only widespread, but increasing in influence?
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