Finance & Quantitative AI

Financial data platform for analysts, quants and AI agents. Open-source investment research infrastructure with extensive data integrations. AGPL-3.0 licensed.

Open-source financial large language models. Democratizing financial AI with data-centric training pipeline and multiple model releases for trading, analysis, and robo-advising. MIT licensed.

Financial reinforcement learning framework for quantitative trading. Deep RL library for stock trading, portfolio allocation, and market execution with pre-built environments and benchmarks. MIT licensed.

AI-oriented quantitative investment platform from Microsoft. Supports diverse ML modeling paradigms including supervised learning, market dynamics modeling, and RL. Now equipped with RD-Agent for automated R&D process. MIT licensed.

Open-source AI agent platform for financial analysis using LLMs. Multi-agent system with specialized agents for trading, analysis, and research. Apache 2.0 licensed.

LLM-powered multi-market stock analysis system providing automated decision dashboard reports and real-time market insights. MIT licensed.

Evidence-first market research CLI and Agent Skill for A-share, Hong Kong, and US stocks, funds, and portfolios, with auditable JSON Evidence Packs and explicit data-quality gaps. MIT licensed.

Open-source personal trading agent and research autopilot platform featuring multi-agent swarms, quantitative backtesting, and broker connectors. MIT licensed.

Multi-agent system simulating an AI-powered hedge fund that utilizes specialized investor agent personalities to make trading decisions. MIT licensed.

High-performance ETF pattern matching with C++20/pybind11 acceleration achieving 43x DTW and 58x pattern-matching speedups over pure Python. MIT licensed.