🚀 Lean Engine All-in-One

Name: Lean All-in-One
Availability: InStock
Rating: 3.0 (1 reviews)

All-in-One Docker image for QuantConnect Lean algorithmic trading engine with GPU support, modern Web UI, REST API, and MCP integration.

✨ Features

🎯 GPU Auto-Selection - Automatically selects GPU with lowest memory usage
🌐 Modern Web UI - Responsive design with dark mode and i18n (EN/ZH/JA)
🔌 REST API - FastAPI with Swagger docs at /docs
🤖 MCP Server - Model Context Protocol for AI integration
📊 Real-time Monitoring - GPU status and backtest progress via WebSocket
🐳 All-in-One - Single container with nginx, API, and MCP services

🚀 Quick Start

docker run -d --gpus all \
  -p 8280:80 -p 8281:8000 -p 8282:8001 \
  --name lean-engine \
  neosun/lean:latest

Access:

Web UI: http://localhost:8280
API Docs: http://localhost:8281/docs
Health: http://localhost:8281/health

📦 Installation

Docker Compose (Recommended)

services:
  lean:
    image: neosun/lean:latest
    container_name: lean-engine
    restart: unless-stopped
    ports:
      - "8280:80"      # Web UI
      - "8281:8000"    # REST API
      - "8282:8001"    # MCP Server
    volumes:
      - ./data:/Lean/Data
      - ./results:/Lean/Results
      - ./algorithms:/Lean/Algorithms
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

docker compose up -d

⚙️ Configuration

Environment Variable	Default	Description
`MODE`	`all`	Service mode: `ui`, `api`, `mcp`, `all`
`GPU_AUTO_SELECT`	`true`	Auto-select GPU with lowest memory
`API_HOST`	`0.0.0.0`	API bind address
`API_PORT`	`8000`	API port
`MCP_HOST`	`0.0.0.0`	MCP bind address
`MCP_PORT`	`8001`	MCP port

🔌 API Endpoints

Endpoint	Method	Description
`/health`	GET	Health check
`/api/gpu/status`	GET	GPU status
`/api/gpu/select`	POST	Select GPU
`/api/algorithms`	GET	List algorithms
`/api/backtest`	POST	Run backtest
`/api/jobs`	GET	List jobs
`/api/results/{id}`	GET	Get results
`/ws`	WS	WebSocket for real-time updates

🤖 MCP Tools

Tool	Description
`gpu_status`	Get GPU information
`gpu_select`	Select specific GPU
`list_algorithms`	List available algorithms
`run_backtest`	Execute backtest
`get_results`	Retrieve backtest results

📁 Project Structure

docker/
├── Dockerfile           # Multi-stage build
├── docker-compose.yml   # Compose configuration
├── nginx.conf           # Reverse proxy config
├── supervisord.conf     # Process manager
├── app/
│   ├── api_server.py    # FastAPI REST API
│   ├── mcp_server.py    # MCP Server
│   ├── gpu_manager.py   # GPU auto-selection
│   └── static/
│       └── index.html   # Web UI
└── .env.example         # Environment template

🛠️ Tech Stack

Base: QuantConnect Lean Engine
Runtime: Python 3.10+, .NET 6
API: FastAPI, Uvicorn
GPU: NVIDIA CUDA, pynvml
Frontend: Tailwind CSS, Alpine.js
Process: Supervisord, Nginx

Lean All-in-One