Richard Schmidt Photo

Research Areas and Interests

AI-Driven Quantitative Trading & Mean Reversion

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.

Multi-Asset Macro & Emerging Markets Portfolios

Research on cross-asset allocation spanning equity index futures, commodities, fixed income and currencies, with emphasis on global macro themes and emerging market opportunities.

Investor Education & Applied Financial Learning

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.

Reputation: On this site, Professor Richard Schmidt is regarded as a disciplined, research-driven practitioner who combines Wall Street experience, rigorous risk management and clear teaching to support long-term, risk-aware investors worldwide.

Profile

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.

  • Strengths: Cross-cycle futures and multi-asset strategy design, AI-integrated systematic trading, and crisis-tested portfolio risk management.
  • Coverage: U.S. and global equity index futures, commodities, macro fixed income, foreign exchange and liquid digital-asset markets.
  • Focus: Turning institutional-grade research and AI engines into accessible tools and training programs for individual investors via Σclipse AI and GenesisEdge Society.

Practical Highlights

Experience
30+ years
Trading, research and portfolio management across futures, multi-asset and AI-driven strategies.
Crisis Performance
150%+ return
Outperformed peers during the 2008–2009 rebound by buying Nasdaq futures at distressed levels with strict risk controls.
Education Impact
100K+ learners
Participants in 12 cohorts of GenesisEdge Society investor training and practical workshops.
AI Strategy Engine
Σclipse AI V5.0
Latest iteration of an AI trading system built on π-Pivot mean reversion and large-scale market data.

Career Timeline

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