# QuantMInd **Repository Path**: DharmaBums/quantmind ## Basic Information - **Project Name**: QuantMInd - **Description**: 基于微软 Qlib 框架构建的开源量化交易系统,集成 LightGBM 模型与 Alpha158因子集,提供从策略研究、回测优化到实盘交易的完整解决方案。支持双引擎回测、AI模型全生命周期管理、多券商实盘对接,一键部署即可开箱即用。 - **Primary Language**: Unknown - **License**: AGPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 19 - **Created**: 2026-08-27 - **Last Updated**: 2026-09-06 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # QuantMind OSS QuantMind is an integrated quantitative research and trading platform for the China A-share market. It connects data, factor research, model training, inference, backtesting, paper trading, and operational monitoring in one reproducible workflow. For the current Chinese documentation and product screenshots, see [README.md](README.md). ## What it provides - Market dashboards, capital-flow analysis, RSS intelligence, and QuantBot - Qlib-based feature engineering, training jobs, model registry, and batch inference - Strategy workspace, factor research, portfolio backtesting, and performance analysis - Paper trading, orders, positions, risk preflight, and service monitoring ## Deployment Ubuntu 22.04 / 24.04 is supported. The recommended production method is the complete offline package, which includes Docker images, PostgreSQL business data, models, and Qlib data. ```bash # Complete offline deployment curl -fsSL https://gitee.com/qusong0627/QuantMind/raw/master/deploy/offline-deploy.sh | sudo bash # Online source deployment curl -fsSL https://gitee.com/qusong0627/QuantMind/raw/master/deploy/deploy.sh | sudo bash ``` The default offline package URL is `https://cdn.quantmind.cloud/quantmind-offline`. To update an existing server: ```bash cd /opt/quantmind sudo bash deploy/update.sh ``` | Service | Default URL | | --- | --- | | Web | `http://:3000` | | API docs | `http://:8000/docs` | | Dashboard | `http://:8501` | See [deploy/README.md](deploy/README.md) for package recovery and deployment options. ## Development ```bash python backend/run_tests.py unit cd electron npm install npm run dev npm run typecheck ``` Internal stock symbols use prefix notation, for example `SH600036`. ## Disclaimer QuantMind is for research and educational purposes only. It is not investment advice.