John Netto, The Protean Trader, explains the Netto Number
John Netto is the Chief Legal Macro Strategist at Rareview Capital and the Founder and Managing Attorney of Unit of Risk Legal Advisors. He is the creator of the Juris-Macro Investment Framework. This methodology integrates regulatory regime dynamics, statutory interpretation, company-specific legal exposure, and juris-macro investment analysis into cross-asset macro investing. This framework extends the interdisciplinary work John has developed over a twenty-five-year career in global macro trading and risk architecture.
Mr. Netto is also the author of The Global Macro Edge: Maximizing Return per Unit-of-Risk and is featured in Jack Schwager’s Unknown Market Wizards: The Best Traders You’ve Never Heard Of, which profiles his career employing discretionary and algorithmic macro strategies. He created the Netto Number, the Risk Factor Compensation System, and the Protean Strategy—frameworks that have reshaped how professional investors quantify and reward risk-adjusted performance. His commentary on macro strategy, volatility, and market structure has appeared on Bloomberg TV, CNBC, Fox Business, Real Vision, and The Wall Street Journal, and he is a frequent speaker at investment conferences.
Mr. Netto is a licensed attorney in the State of Nevada and earned his Juris Doctor, magna cum laude, from UNLV’s Boyd School of Law, where he externed with the Nevada Supreme Court (Justice Kristina Pickering) and the Discovery Commission (Commissioner Adam Ganz). A former US Marine Corps Staff Sergeant, he brings military-grade precision to his legal and advisory work. His legal practice focuses on VA disability claims, transactional matters, trust and estate planning, and M&A strategy—areas that benefit from his integrated approach to law, finance, and risk assessment.
John is currently completing his MBA at UNLV’s Lee Business School, with coursework focused on data-driven decision-making in accounting, M&A, financial modeling, and entity taxation—all approached through an applied AI lens that integrates statistical modeling with legal and financial analysis.
