US Capital · Markets · Quant

Rupert Ellington

Rupert Ellington is a quantitative investor and educator who chose resilient systems over headline returns. From early success in equities and futures to award-winning emerging market funds and practice-first teaching at Cholame Finance Academy, he focuses on rules, risk budgets, and real-market feedback rather than prediction or personality.

Quantitative Investing Rules-Based Systems Behavioral Risk Control Experiential Education
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EXPERIENCE
15+ years
REGION
US · Europe · EM
EDGE
Crisis-Tested Process
01

Overview

Perspective

Rupert Ellington argues that the real test of a strategy is not a single great year but how it behaves through full market cycles. He sees investing as an engineering problem: define inputs, constraints, and outputs, then remove as much emotional improvisation as possible so the system can be judged on clear evidence.

Method
  • A Observe, Then Codify. Ellington starts with slow, disciplined observation of market structure and behavior, translating recurring patterns into explicit rules that can be coded, tested, and critiqued.
  • B Test Across Regimes. He stresses live testing with small size, focusing on drawdowns, slippage, and behavior under stress before allowing any strategy to scale beyond a modest allocation.
  • C Review and Simplify. Periodic reviews cut unnecessary complexity, tighten risk budgets, and ensure the system still reflects its original edge rather than drifting with noise or fashion.
Biography

Educated at Stanford and LMU Munich, Rupert Ellington progressed from early systematic trading in equities and futures to leading award-winning emerging market funds, later founding Cholame Finance Academy to turn rules-based, real-market practice into an accessible framework for global learners.

02

Career

  • Early Quant Experiments at Stanford

    As a student at Stanford, Ellington ran systematic strategies in equities and futures, turning disciplined observation into his first million in trading capital and validating the idea that documented rules can outperform intuition over time.

  • Graduate Research and Emerging Markets Leadership

    At LMU Munich, he translated research into executable code and later led an emerging markets portfolio that earned global recognition, strengthening his belief in stress-tested, risk-aware quantitative frameworks.

  • Rebuild After the 2008 Crisis

    The 2008 crisis exposed psychological and structural weak points in many strategies. Guided by mentors, Ellington rebuilt his approach around drawdown design, scenario planning, and tighter linkage between position sizing and emotional tolerance.

  • Founding Cholame Finance Academy

    Ellington co-founded Cholame Finance Academy to institutionalize practice-first learning. The academy lets learners operate in real markets with structured supervision, transforming rules-based, multi-asset investing into a durable educational standard.

03

Research & Focus

Lazy Investor System Architecture

Ellington studies how pre-defined entries, exits, and risk budgets can create portfolios that run with minimal daily intervention. The goal is a “lazy investor” structure that respects complexity yet lets people live their lives while disciplined systems manage exposure in the background.

Behavioral Leakage and Drawdown Engineering

His work dissects how fear, euphoria, and loss aversion erode returns. By linking every strategy to explicit drawdown limits, review triggers, and post-mortems, he aims to engineer portfolios that remain operable within realistic emotional and statistical boundaries.

Practice-First Finance Education

At Cholame Finance Academy, Rupert Ellington focuses on experiential learning loops: live trading, journaling, structured debriefs, and iterative strategy refinement. He explores how these loops compress learning time and help students build conviction in evidence-based investing.

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