Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"awesome-trading-agents": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Awesome Trading Agents collects open-source projects where LLMs help research markets, make trading decisions, or connect agents to market data and execution tools. The list focuses on three building blocks: Agents, MCPs, and Skills. It does not try to cover classic quant libraries, time-series models, or reinforcement-learning trading bots; those are better served by georgezouq/awesome-ai-in-finance and wilsonfreitas/awesome-quant. Entries are selected for public code or artifacts, clear LLM-dr
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Awesome Trading Agents collects open-source projects where LLMs help research markets, make trading decisions, or connect agents to market data and execution tools. The list focuses on three building blocks: Agents, MCPs, and Skills. It does not try to cover classic quant libraries, time-series models, or reinforcement-learning trading bots; those are better served by georgezouq/awesome-ai-in-finance and wilsonfreitas/awesome-quant. Entries are selected for public code or artifacts, clear LLM-driven behavior, recent activity, useful documentation, a distinct role, and visible adoption. Stewarded by the LLMQuant community.
[!TIP] If you only read three:
[!NOTE] Dates are not shown after every item. We still check recent activity before adding or updating a project; the README only keeps details that help readers choose a project, such as official status, forks, or useful pairings.