ai-trading-agent — not yet audited

by DaviddTech · MCP Server · ★ 55

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About ai-trading-agent

Build your own AI hedge fund with Claude, Codex, Cursor & OpenClaw. The agent-native skills directory for Trader Dev MCP — write Pine Script, backtest crypto strategies, optimize parameters.

ai-traderai-tradingai-trading-agentai-trading-agentsalgorithmic-tradingbacktestingclaudeclaude-codeclaude-skillscodex

Quick Facts

Stars55
Forks17
CategoryMCP Server
LicenseMIT
Quality Score52.7491593857299/100
Open Issues1
Last Updated2026-09-11
Created2026-05-10
Platformsclaude-code, codex, mcp
Est. Tokens~15k

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Frequently Asked Questions

What is ai-trading-agent?

ai-trading-agent is Build your own AI hedge fund with Claude, Codex, Cursor & OpenClaw. The agent-native skills directory for Trader Dev MCP — write Pine Script, backtest crypto strategies, optimize parameters.. It is categorized as a MCP Server with 55 GitHub stars.

How do I install or use ai-trading-agent?

You can find installation instructions and usage details in the ai-trading-agent GitHub repository at github.com/DaviddTech/ai-trading-agent. The project has 55 stars and 17 forks, indicating an active community.

What license does ai-trading-agent use?

ai-trading-agent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-trading-agent?

The top alternatives to ai-trading-agent on Agent Skills Hub include deterministic-agent-control-protocol, claude-emporium, google-analytics-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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