QuantGPT: Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN

by Miasyster · MCP Server · ★ 499

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

How to install QuantGPT

git clone https://github.com/Miasyster/QuantGPT.git && cd QuantGPT
git clone https://github.com/Miasyster/QuantGPT.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars499
Forks130
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score60/100
Open Issues2
Last Updated2026-11-01
Created2026-03-20
Platformsclaude-code, mcp, python
Est. Tokens~18k

About QuantGPT

QuantGPT Agent-Driven Factor Research Engine — Autonomous Mining, Independent Validation on QuantGPT Cloud LLM Agent 自治因子挖矿 → 批量回测 → 多维评分 → 反过拟合验证 → QuantGPT Cloud 独立验证 + 样本外跟踪 | 全程零人工干预 Quick Start · Architecture · API Docs · MCP Guide · Factor Mining · Roadmap · Contributing WeChat / 微信交流群: Add on WeChat to join the community What Is QuantGPT QuantGPT is an agent-driven factor research engine —...

Compatible Skills

These tools work well together with QuantGPT for enhanced workflows:

  • openclaw-wx-echo — semantic(0.46)+complementary+same_lang+similar_pop+shared_platform (61%)
  • darwinia — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • alpha-skills — semantic(0.44)+complementary+rare_topics+similar_pop (60%)
  • x2strategy — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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