---
title: OpenFinMind
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: static
pinned: false
short_description: Open research community advancing AI for finance
---

## 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](https://aclanthology.org/2026.acl-long.538/) · [PDF](https://aclanthology.org/2026.acl-long.538.pdf) · [Code](https://github.com/OpenFinMind/CogAlpha_Prompt) · 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](https://arxiv.org/abs/2607.08332) · arXiv:2607.08332.
- **FinForesight** — A diagnostic benchmark evaluating the financial forecasting capabilities of deep research systems across CN, US, and HK markets. [Paper](https://arxiv.org/abs/2611.01621) · [Code](https://github.com/OpenFinMind/FinForesight) · [Dataset](https://huggingface.co/datasets/OpenFinMind/FinForesight) · 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](https://arxiv.org/abs/2611.13572) · [Code](https://github.com/OpenFinMind/MC-JEPA) · 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](https://github.com/OpenFinMind) · [Hugging Face](https://huggingface.co/OpenFinMind).

**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.**