Larry Domash

About Larry Domash

Larry Domash is a seasoned finance executive and portfolio manager with over 44 years of distinguished experience in systematic trading, and quantitative investment strategies. A committed Industry leader, he publishes daily systematic credit and equity indicators via systematiccredit.substack.com, and https://G-255.com/. Based in St. Petersburg, Florida, Larry also serves as President and CEO of Curve Publishing G-255, furthering his impact on quantitative finance and transparent investment processes. Larry is the creator of the G-255 Systematic Trading Model—a pioneering global framework covering the world\'s top 255 corporate issuers (representing the majority of liquid USD corporate debt and equity capital). Initially developed at Fidelity Management and Research in 1990 during his tenure as Global Director of Investment Operations, the model harnesses public financial disclosures and market pricing to generate objective, systematic indicators for markets, sectors, and individual securities. This innovation underscores his expertise in quantitative risk assessment, valuation, and cross-asset strategy-skills highly valuable for board-level oversight of financial strategy, risk, and capital allocation. His career includes senior leadership roles across premier Wall Street and investment firms.What Is G-255? G-255 tracks the world\'s largest 255 corporate issuers, each with at least $15 billion in liquid tradable debt. It covers about USD bonds and 242 publicly listed equities with a combined market cap of ~$47 trillion—60% larger per issuer than the S&P 500 average. Around 80 equities are non-U.S. domiciled.SYSTEMATIC CREDIT and EQUITY TRADING- is a rule-based approach to investing in fixed income markets-specifically corporate bonds- that uses algorithms and data-driven signals rather than traditional fundamental analysis to make decisions.Understanding the G-255 Systematic Trading Model: G-255 is a fully automated, systematic, and quantitative model that generates long and short Indicators for bonds and stocks of these major issuers. It uses only each company\'s own historical data—pricing, balance sheets, earnings momentum, and leverage—for objective, probability-based assessments with zero human input. Back-tested over 35 years, it delivers high tracking accuracy by focusing purely on issuer-specific facts, avoiding peers, macros, or sentiment. This makes it a reliable tool for data-driven credit and equity indicators.I am publishing daily at https://systematiccredit.substack.com/ and https://G-255.com/

Experience

1. Portfolio Manager Global Head of Research

   Curve Asset Management

   Mar 2012 — Present

Education

• Lawrence University

  Bachelor of Arts (B.A.), Economics

  1977 — 1981

• Northwestern University

  Masters of Management, Economics and Finance

  1984 — 1986