OpenFinMind

Open Financial Intelligence · An Open Research Community for AI in Finance

OpenFinMind is an open research community at The University of Hong Kong (HKU), advancing artificial intelligence in finance through open research, collaborative development, and shared resources.

Research Areas

• AI Agents & Financial Research — LLM-based agents, multi-agent systems, and deep research for financial analysis and decision-making.
• Quantitative Finance & Alpha Discovery — Code-based alpha mining, factor research, quantitative strategies, and systematic investment.
• Financial Forecasting & Evaluation — Financial prediction, temporal evaluation, and rigorous benchmarks for AI systems.
• Financial Data & Research Infrastructure — Curated datasets, reproducible workflows, and open-source tools for financial AI.

Selected Research

• CogAlpha — An LLM-driven framework combining financial reasoning and code-based evolutionary search for automated alpha discovery. Paper · PDF · Code · ACL 2026.
• X-Alpha — An AI Quant Researcher that integrates report-grounded financial knowledge and persistent discovery feedback into a closed-loop hypothesis-to-code research process. Paper · arXiv:2607.08332.
• FinForesight — A diagnostic benchmark evaluating the financial forecasting capabilities of deep research systems across CN, US, and HK markets. Paper · Code · Dataset · arXiv:2611.01621.
• MC-JEPA — A market-conditioned joint-embedding predictive architecture that leverages realized market shocks during self-supervised training to learn asset-specific representations, improving financial return prediction, market exposure estimation, risk, and liquidity modeling. Paper · Code · arXiv:2611.13572.

Open Research & Resources

We develop and share research projects, datasets, benchmarks, models, and tools to support reproducible and collaborative financial AI research. GitHub · Hugging Face.

Open Collaboration

We welcome researchers, developers, and practitioners interested in AI for finance to explore our projects, share resources, and contribute to open research.

Build. Share. Discover. Advance.