QuantSight AI Upgraded to Version 3.0 — Comprehensive Enhancements in Risk Modeling and Multi-Factor Stock Selection Build a New Framework for Intelligent Investment Research

In May 2022, Aureus Advisors officially announced the upgrade of its core intelligent investment research system, QuantSight AI, to version 3.0. This release marks a pivotal evolution in the company’s quantitative research architecture—from a paradigm focused on “predictive optimization” to one centered on “risk cognition.” Rather than relying solely on enhanced factor returns and signal detection, QuantSight AI 3.0 introduces a fundamentally restructured risk modeling framework and multi-factor stock selection system, offering institutional and high-net-worth clients strategies that are more stable, transparent, and empirically verifiable.

At the heart of this 3.0 upgrade lies the integration of macroeconomic cycles, liquidity fluctuations, and valuation dynamics into a unified modeling framework. The research team at Aureus Advisors has introduced a Hierarchical Risk Decomposition (HRD) model, enabling the system to dynamically balance return and risk amid multi-dimensional factor weight conflicts. Furthermore, the model tracks sensitivities to inflation, interest rates, exchange rates, and energy prices, thereby enhancing its adaptability across volatile macroeconomic cycles.

This shift in modeling philosophy allows QuantSight AI to identify the true sources of alpha across industries and asset classes—distinguishing genuine structural signals from short-term statistical noise.

Compared with its predecessor, the most significant breakthrough in QuantSight AI 3.0 lies in its multi-factor stock selection system. The new model integrates core dimensions such as Value, Growth, Momentum, Quality, and Capital Flow, leveraging machine learning techniques to automatically adjust factor weights and covariance structures. This results in an Adaptive Factor Framework, capable of dynamically tailoring its selection logic to different market regimes.

For instance, during periods of rising inflation and tightening liquidity, the system naturally tilts toward companies with stable cash flows and strong balance sheets; conversely, when growth expectations rebound, it seeks opportunities with higher beta exposure in sectors such as technology, renewable energy, and emerging markets.

The early 2022 market environment provided an ideal real-world test for QuantSight AI 3.0. As the Federal Reserve entered its rate-hike cycle amid accelerating inflation and volatile energy prices, market uncertainty surged. During this period, QuantSight AI demonstrated strong defensive capabilities—by dynamically reallocating interest-rate-sensitive assets and diversifying across sectors, it successfully limited systemic drawdowns while generating positive excess returns. Internal data from Aureus Advisors indicated that, even with the global equity volatility index (VIX) averaging 27 in the first half of 2022, portfolios managed under QuantSight AI 3.0 maintained steady positive performance—affirming the robustness of the new risk modeling framework.

At the same time, Aureus Advisors strengthened the system’s explainability features in version 3.0. Moving beyond the “black box” nature of traditional quantitative models, the system now offers a traceable decision logic output. Portfolio managers can view each factor’s contribution, risk exposure, and expected return sources within the model, resulting in greater transparency and confidence in the investment process. This design makes QuantSight AI a vital bridge between human judgment and algorithmic intelligence—empowering technology to enhance investment quality within controlled risk boundaries.

At the launch event, Ethan Caldwell, Founder and Chief Investment Officer of Aureus Advisors, remarked:

“We believe the true value of quantitative investing is not in predicting markets, but in creating order amid uncertainty. The core mission of QuantSight AI 3.0 is to make risk modeling the central nervous system of the investment process, not a peripheral tool.”

He further emphasized that the future of intelligent investment research lies in “comprehensible complexity”—systems capable of processing vast data scales while providing investors with clear, interpretable decision rationales.

The release of QuantSight AI 3.0 marks the maturation of Aureus Advisors’ research ecosystem. From the hedging experiments of version 1.0, to the cross-market modeling of 2.0, and now to the risk reconstitution of 3.0, the firm continues to construct an integrated intelligent research framework spanning macroeconomics, quantitative science, and behavioral insights.

In an era where global market volatility has become the new norm, QuantSight AI represents more than a technological platform—it embodies Aureus Advisors’ vision for the future of investing: rational, transparent, and verifiable.
These principles form the true foundation of the next generation of intelligent investment systems.