by Miasyster · MCP Server · ★ 249
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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 — not a backtest library, not a chatbot wrapper. It gives an LLM Agent (Claude, via MCP) a complete toolkit to autonom
| Stars | 249 |
| Forks | 80 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.6798182118264/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-20 |
| Created | 2026-03-20 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~497k |
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QuantGPT is Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN. It is categorized as a MCP Server with 249 GitHub stars.
QuantGPT is primarily written in Python. It covers topics such as a-shares, ai-agent, alpha.
You can find installation instructions and usage details in the QuantGPT GitHub repository at github.com/Miasyster/QuantGPT. The project has 249 stars and 80 forks, indicating an active community.
QuantGPT is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to QuantGPT on Agent Skills Hub include wcgw, Overture, Mantic.sh. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.