We don't pursue short-term "excess returns"—we pursue repeatable, verifiable, and shareable financial scientific structures.
We use systematic thinking to reconstruct the complexity of the financial world. From nonlinear factors to multi-dimensional models, we employ scientific methods to transform noise into signals, making hidden market logic interpretable, verifiable, and predictable. Clarity is not simplification, but insight into the order behind complexity.
Alpha is not just a strategy, but a rediscovery of market principles. We leverage the convergence of machine learning and behavioral finance, enabling models to pursue not only returns but depth of cognition. Every Alpha optimization is an insight into and validation of market intelligence.
The power of AI must be bounded by responsibility. We uphold fairness, transparency, and accountability in algorithmic design, ensuring every model decision can withstand scrutiny. Between efficiency and justice, we choose to give intelligence warmth and technology moral boundaries.
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American computer scientist and quantitative investment expert, currently serving as Co-CEO of Renaissance Technologies.
Assistant to Peter Fitzhugh Brown, supporting daily operations and strategic affairs, proficient in quantitative investment processes and efficient in coordination and execution.
Mr. Brown, Senior North America Assistant, assists in formulating North American market strategies, managing institutional investor relations, and coordinating high-frequency trading policies.
American computer scientist and quantitative investment expert, currently serving as Co-CEO of Renaissance Technologies.
Assistant to Peter Fitzhugh Brown, supporting daily operations and strategic affairs, proficient in quantitative investment processes and efficient in coordination and execution.
Mr. Brown, Senior North America Assistant, assists in formulating North American market strategies, managing institutional investor relations, and coordinating high-frequency trading policies.
Focuses on multi-asset portfolio optimization and risk management, with extensive experience in derivatives and quantitative trading.
Researches investor behavior and market psychology, using big data to improve the accuracy of quantitative strategies.
Specializes in global macroeconomic, geopolitical, and commodity market analysis, providing strategic support for investment decisions.
Focuses on multi-asset portfolio optimization and risk management, with extensive experience in derivatives and quantitative trading.
Researches investor behavior and market psychology, using big data to improve the accuracy of quantitative strategies.
Specializes in global macroeconomic, geopolitical, and commodity market analysis, providing strategic support for investment decisions.
With excellent performance, verify the value of the model
Our research-to-market pipeline ensures that scientific breakthroughs translate into practical applications. Clients of our models can support publicly traded companies and institutional investors worldwide.