Focus on systematic futures and index strategies that combine π-Pivot mean reversion, multi-factor signals and robust risk controls to capture persistent market inefficiencies across cycles.
Research on cross-asset allocation spanning equity index futures, commodities, fixed income and currencies, with emphasis on global macro themes and emerging market opportunities.
Design of cohort-based training that translates institutional research methods, AI tools and real-world case studies into practical frameworks for individual investors and professionals.
Richard Schmidt, born in Chicago in 1966, is a futures-focused quantitative investor and educator with roots in a trader family at the CME. Educated at LBS (BSc, PhD in Financial Economics) and Johns Hopkins (EMBA), he built his early career at Citibank and Bridgewater before joining Two Sigma, where he helped shape global multi-asset portfolios and refined his π-Pivot mean reversion framework. In 2012 he co-founded GenesisEdge AI Holdings Inc. and later developed the Σclipse AI system, combining artificial intelligence and big data to serve both institutional strategies and large-scale investor education through GenesisEdge Society.