# Awesome Trading Agents

A curated list of open-source projects where LLMs research markets, make trading decisions, or connect agents to market data, organized into agents, MCP servers and skills.

Awesome Trading Agents collects open-source projects where an LLM plays a direct part in researching markets, making trading decisions, or connecting an agent to market data and execution tools. It is organized into three building blocks: agents, such as multi-agent trading systems, single-agent traders and research copilots; MCP servers for market data, brokerage and exchange trading, analysis tools and prediction markets; and skills for equity research, crypto and on-chain analysis, and strategy coding.

The list explicitly excludes classic quantitative libraries, time-series models and reinforcement-learning trading bots, pointing to other curated lists for those instead. Entries are chosen for public code or artifacts, clearly LLM-driven behavior, recent activity, useful documentation and a distinct role, and the project is stewarded by the LLMQuant community.

Website: https://github.com/LLMQuant/awesome-trading-agents