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awesome-trading-agents

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Reduces time-to-market for quantitative trading systems by consolidating vetted LLM agents and MCP integrations, eliminating fragmented research across multi…

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

382 starsCC0-1.0 (commercial OK)FreeQuick setup

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.

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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
Not installable — this is a curated reference list. Browse it at the source link and install the individual agents/MCP servers it references per their own docs.

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

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me find open-source trading agent frameworks to build custom market analysis systems
CostFree

Trust Signals Auto-scanned

Stars382Contributors4Last updated2026-08-13LicenseCC0-1.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Reviewer notes

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

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 382 GitHub stars; 4 contributors; last commit 5d ago; license CC0-1.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

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
4/5
Reliability
4/5
Security
3/5
Overall score3.50 / 5.00 SolidEvaluatedAug 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 382 GitHub stars; 4 contributors; last commit 5d ago; license CC0-1.0.

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