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awesome-trading-agents

Skill Development Usable

Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.

146 starsCC0-1.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces time-to-market for quantitative trading systems by consolidating vetted LLM agents and MCP integrations, eliminating fragmented research across multiple sources and lowering integration risk.

Quantitative trading teams and fintech engineers building or evaluating AI-driven market research and execution workflows.

Claude Code Claude Cowork Claude Chat

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

By LLMQuant

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install LLMQuant/awesome-trading-agents

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars146Last updated2026-05-18LicenseCC0-1.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

8 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 146 GitHub stars; contributors unknown; last commit 2d ago; license CC0-1.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 146 GitHub stars; contributors unknown; last commit 2d ago; license CC0-1.0.

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