Latest Research / Market Perspectives

Core Advantages
Massive-scale data integration One-stop integration of global market data, news, policy documents, and alternative data.
Real-Time Factor Modeling
Automatically discover and validate alpha factors, continuously optimizing model performance.
Multi-Asset Class Coverage
Comprehensive support for equities, bonds, commodities, foreign exchange, and digital assets.
Explainable analysis
All AI outcomes are traceable, ensuring transparent and compliant decision-making.
About QuantSight AI

About QuantSight AI

QuantSight AI was jointly developed by Aureus Advisors' investment research team and data science team with the goal of: Combine human researchers' experience with the speed and depth of machine learning; Build a dynamic, scalable intelligent investment research platform; Delivering clients more precise asset allocation, risk management, and strategy execution capabilities.

-Institutional Investors

Cross-market asset allocation and portfolio optimization

-Family offices and high-net-worth clients

Wealth preservation and diversified portfolio allocation

-Corporate clients

Capital structure analysis and market risk monitoring
  • QuantSight AI 1.0 (2020)
    Focused on financial data cleansing and structuring to address issues of data redundancy and inefficiency; Enhanced research efficiency by providing powerful tools for investment research teams.
  • QuantSight AI 2.0 (2021–2022)
    Established a strategic partnership with Bloomberg to integrate Bloomberg Terminal data; Expanded analytical scope to multi-asset classes including stocks, bonds, foreign exchange, and cryptocurrencies.
  • QuantSight AI 3.0 (2023–2024)
    Integrated deep learning and reinforcement learning; Demonstrated outstanding predictive and risk-hedging capabilities in high-volatility assets such as cryptocurrencies, green energy, and emerging markets; Applied to asset allocation, portfolio optimization, and risk management.
  • QuantSight AI 3.0 (2023–2024)
    Integrated deep learning and reinforcement learning; Demonstrated outstanding predictive and risk-hedging capabilities in high-volatility assets such as cryptocurrencies, green energy, and emerging markets; Applied to asset allocation, portfolio optimization, and risk management.
  • QuantSight AI 4.0 (2025–Present)
    Builds an integrated platform encompassing market forecasting + risk hedging + trade execution + asset allocation; Covers asset classes including stocks, ETFs, options, contracts, cryptocurrencies, RWA, and DeFi; Introduces adaptive learning models and the AQS Token blockchain mechanism to create a transparent and efficient value-closed loop.

Future Development

QuantSight AI 5.0 (Expected Release: 2026) More efficient modular architecture; Enhanced cross-market forecasting and strategy generation capabilities; Deep integration with compliance-driven application scenarios to deliver next-generation intelligent asset management support.