Explore the lab’s research history, representative publications, and software resources.
Open Financial Intelligence
This section brings together the lab’s open-source and collaborative projects, from openness frameworks, tools, and licensing to financial benchmarks, models, learning methods, and agent experimentation.
Open Intelligence
Model Openness Framework (MOF), Model Openness Tool (MOT), and OpenMDW: contributions to openness, transparency, reproducibility, and model licensing through collaboration with Matt White and the wider open-source community.
FinBen: Financial Benchmarking and Evaluation Suite for Large Language Models and Agents
Collaborative research on financial benchmarks, multilingual and multimodal evaluation, structured reporting and auditing, an open leaderboard, and workflow-level agent evaluation, connecting academia with FINOS and industry communities.
Financial Generative Pre-trained Transformers (FinGPT)
Open financial data, lightweight language-model adaptation, efficient computing, and financial agents, with the original research record and representative publications.
Financial Reinforcement Learning (FinRL)
From deep reinforcement learning for stock trading to reusable market environments, benchmarks, and competitions.
Agentic Trading Lab (ATL)
A research platform for developing, inspecting, and evaluating trading agents through historical backtesting and monitored workflows.
Demo: Agentic FinSearch
Explore the existing demonstration of agent-assisted financial information search.