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Miasyster/QuantGPT

Design, backtest and submit factors to WorldQuant BRAIN

Before you install: a copy-paste command is available · no license recorded · link reachable

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site

checked 2026-11-14 — this package is not on npm/PyPI (E404); the command below fails as written.

Install & config
  1. Copy the command above
  2. Paste it as one entry under mcpServers in claude_desktop_config.json — local servers take command + args (example: clients)
  3. Restart your client
Install command from the repository
pip install "quantgpt[postgresql]

Parsed from the README we fetched on 2026-11-05; we have not executed it.

This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score
score 1,003 · 10 sources · mcp
Install
pip install "quantgpt[postgresql]
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: pip install "quantgpt[postgresql]. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# QuantGPT

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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 quantgptai 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 autonomously discover, evaluate, iterate, and validate alpha factors, with zero human intervention per research cycle. Factors that pass local validation are automatically uploaded to QuantGPT Cloud for independent verification and out-of-sample tracking — ensuring research results are reproducible and auditable.
The core architecture:
LLM Agent (Claude Code / Claude Desktop)
├── MCP Tools (15 个) ← Agent 的工具箱
│ ├── runbacktest ← 全市场分组回测
│ ├── scorefactor ← 0-100 综合评分
│ ├── diagnosefactor ← 失败模式诊断
│ ├── runantioverfit ← 4 项反过拟合检验
│ ├── runrollingvalidation ← Walk-forward 验证
│ ├── validateexpression ← 语法校验
│ ├── listoperators ← 60+ 算子文档
│ ├── listuniverses ← 股票池和基准
│ ├── wqbrainsubmit ← WQ BRAIN 单因子提交
│ ├── wqbrainbatchsubmit ← 批量参数扫描提交
│ ├── wqbrainsubmitbyids ← 按 ID 提交
│ ├── wqbrainlistalphas ← 查询已提交 alpha
│ ├── wqbraincheckalphas ← 检查 alpha 状态
│ └── wqbrainfinalizesubmissions ← 最终提交确认
├── QuantGPT Cloud ← 独立验证平台 (quant-gpt.com)
│ ├── A 级因子自动上传
│ ├── 独立 IC/IR/Turnover 验证
│ ├── 样本外实时跟踪
│ ├── 因子去重(Self-Correlation 检测)
│ └── 公开可审计的研究记录
├── Evolution Engine ← 因子进化引擎
│ ├── MutationEngine (8 方向突变)
│ ├── CrossoverEngine (高分因子交叉)
│ ├── MetaEvolutionSelector (自适应策略)
│ └── TrajectoryAnalyzer (轨迹分析)
├── WQ BRAIN Integration ← WorldQuant 直连(可选)
│ ├── Dollar-neutral 模拟
│ └── 一键正式提交
└── Knowledge Base ← 跨会话知识积累
├── rules/ (已验证规则)
├── findings/ (经验发现)
└── failures/ (已证伪路径)
### How It Differs from "AI Backtest Tools"
传统工具(包括 ChatGPT + 回测库)的模式是:人类想因子 → 工具跑回测 → 人类看结果。Agent 是执行者,人类是决策者。
QuantGPT 的模式是:人类定义目标 → Agent 自治研究 → 人类审阅产出。Agent 是研究者,人类是审阅者。
这不是接口层的区别(自然语言 vs. 代码),而是决策权的区别。Agent 自主决定:探索哪个方向、生成什么表达式、评估哪些指标、何时迭代、何时放弃、何时提交。
### Production Track Record
| Metric | Value |
| 累计回测任务 | 370+ |
| 单轮迭代(8 候选因子) | ~15 分钟 |
| 表达式算子 | 60+(含非线性、三元、技术指标) |
| Cloud 独立验证 | A 级因子自动上传 quant-gpt.com 验证 + 样本外跟踪 |
| WQ BRAIN 提交(可选) | 3 个因子 IS 全部 PASS,已提交(最佳 Fitness 1.26) |
## Validated Results
QuantGPT 产出的因子通过两层验证:本地多维评分 + QuantGPT Cloud 独立 IC/IR 验证。高质量因子还可选提交至 WQ BRAIN。以下 3 个因子已通过 WQ BRAIN IS 检测并正式提交:
| Factor | Expression | WQ Sharpe | WQ Fitness | WQ Returns | IS Tests | Status |
| Debt-Momentum Composite | -1 rank(tsavdiff(close, 10)) + rank(debt / enterprisevalue) | 1.77 | 1.26 | 20.18% | ALL PASS | Submitted |
| VWAP Decay Reversal | -1 rank(tsdecaylinear(close / vwap, 10)) | 1.69 | 1.07 | 18.63% | ALL PASS | Submitted |
| Returns-Volume Momentum | -1 rank(tsdecaylinear(returns volume / adv20, 5)) | 1.60 | 1.03 | 24.15% | ALL PASS | Submitted |
> 3 个因子代表不同的 alpha 来源:Debt-Momentum 结合动量反转与基本面(债务/企业价值),行业中性化;VWAP Decay Reversal 捕捉价格偏离 VWAP 的衰减回归,市场中性化;Returns-Volume Momentum 捕捉收益率与相对成交量的衰减动量,市场中性化。全程 Agent 自治完成。
Debt-Momentum Composite — 已正式提交:Sharpe 1.77, Fitness 1.26, Returns 20.18%, IS 全部 PASS
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Source
awesome · https://github.com/Miasyster/QuantGPT
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