Systematic Research
Turn first-principles hypotheses into signals that survive noise, regime change, and out-of-sample testing.Turn first-principles hypotheses into signals that survive noise, regime change, and out-of-sample testing.
A quantitative trading firm built on exceptional research. We apply rigorous academic methodology to real-world trading problems.Orthon applies mathematics, statistics, and machine learning to uncover robust, orthogonal drivers of return and manage risk with precision.
Every candidate signal is evaluated against three standards: independence, statistical evidence, and risk behaviour.We believe superior returns are earned, not predicted. Every tradable signal is evaluated against three standards: independence, statistical evidence, and risk behaviour.
Return streams are tested for orthogonality to common factors, hidden beta, and crowded exposures before they earn portfolio weight.We isolate independent sources of return through factor discovery and orthogonal portfolio design.
Signals must survive out-of-sample tests, regime shifts, implementation costs, and live degradation.Every position is backed by robust statistical validation, with a systemic view of risk and economic intuition.
Exposure, liquidity, and drawdown constraints are part of the investment idea from day one.We manage risk at every level: portfolio, strategy, and trade, protecting capital through cycles.
We work on hard, testable questions at the edge of statistics, machine learning, and live markets. The work is empirical, production-facing, and judged by evidence rather than narrative.We work on hard, testable questions at the edge of statistics, machine learning, and financial markets.
Turn first-principles hypotheses into signals that survive noise, regime change, and out-of-sample testing.Turn first-principles hypotheses into signals that survive noise, regime change, and out-of-sample testing.
Extract structure from high-dimensional market data while controlling for leakage, overfitting, and unstable correlations.Build predictive models that generalize across time, markets, and regimes without relying on leakage.
Convert independent signals into capacity-aware portfolios within explicit risk, liquidity, and execution constraints.Construct independent signal sets with explicit risk, liquidity, and execution constraints.
Updates across performance, research, and the giving commitment.
Quarterly performance and risk reviews.
Notes from live research and methodology.
Children's health and education.
Insights
Updates across performance, research, and the giving commitment.
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Research
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Latest notes
Latest thinking from the research team, performance desk, and giving program.
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A short, calm quarter. Realised volatility low; net exposure trimmed into year-end.
Research
Two signals can be uncorrelated on average and still load on the same risk in the worst week.
Charity
Eight new classrooms across two villages, completed before the start of the school year.
Featured notes
Lead articles with recent notes kept close before the full archive link.
View all insightsPerformance
A short, calm quarter. Realised volatility low; net exposure trimmed into year-end.
Research
Two signals can be uncorrelated on average and still load on the same risk in the worst week.
Charity
Eight new classrooms across two villages, completed before the start of the school year.
We’re a scientific research team — trading is how we monetize our research.
Our team is at the heart of everything we do — mathematicians, statisticians, physicists, cryptographers, and data scientists who understand complex systems and apply their expertise to financial markets.
We believe in a simple core idea: bring together exceptional minds, equip them with the right tools, and success becomes a matter of time — not a question of possibility.