9 Top Open-Source Projects for Quantitative Trading (Data, Backtesting, AI, Live Trading)

OpenBB – Global market data platform

Stars: 63,314

Open‑source financial data platform that aggregates equities, bonds, funds, crypto, and macro‑economic data from providers such as Yahoo Finance, Alpha Vantage, and Polygon. Provides a command‑line terminal and a Python API for programmatic access. Install with pip install openbb.

https://github.com/OpenBB-finance/OpenBB

Qlib – Microsoft AI‑driven quant platform

Stars: 39,029

Open‑source AI quant platform backed by Microsoft, optimized for China A‑share data. Bundles data processing, multiple machine‑learning models, and backtesting in a single pipeline. Frequently cited in academic papers, indicating strong research adoption.

https://github.com/microsoft/qlib

TradingAgents – LLM multi‑agent trading system

Stars: 32,738

Multi‑agent trading framework powered by large language models. Simulates roles such as analyst, researcher, trader, and risk manager, enabling fully automated end‑to‑end trading from analysis to order execution. Agent roles are highly configurable.

https://github.com/AI4Finance-Foundation/TradingAgents

TradingAgents‑CN – Chinese localization of TradingAgents

Stars: 18,789

Chinese‑language fork of TradingAgents. Retains all original functionality while providing documentation, examples, and tutorials in Chinese.

https://github.com/AI4Finance-Foundation/TradingAgents-CN

Qbot – Open‑source quant platform with live‑trading support

Stars: 16,594

Chinese‑origin quant platform that supports both backtesting and live trading. Provides extensive integration with domestic broker APIs and documentation in Chinese.

https://github.com/Qbot-Project/qbot

daily_stock_analysis – AI stock‑analysis assistant

Stars: 23,231

Tool that uses AI to analyze a stock’s financial statements, technical indicators, and news sentiment, then returns an investment suggestion. Designed for low entry barrier and quick daily stock screening.

https://github.com/PyStaBot/daily_stock_analysis

RD‑Agent – Microsoft automated R&D framework

Stars: 11,911

Automation framework that can perform data analysis, feature engineering, and model training. Although not specific to finance, it can be applied to quantitative strategy development. Emphasizes high code quality and extensibility.

https://github.com/microsoft/RD-Agent

Rqalpha – RiceQuant backtesting engine

Stars: 6,237

Established open‑source backtesting engine in China. Known for detailed documentation, stability, and a large domestic user community, making it suitable for beginners learning backtesting.

https://github.com/ricequant/rqalpha

AI‑Trader – Hong Kong University AI trading platform

Stars: 11,796

Open‑source AI trading system from Hong Kong University that applies deep learning to quantitative trading. Provides a complete strategy framework and is positioned as an academic reference.

https://github.com/HKU-AI-Trader/AI-Trader