DOCKER_SETUP.md

@@ -1,147 +0,0 @@
-# TradingAgents - Docker Setup Guide
-
-This directory contains the Docker setup for running TradingAgents with a FastAPI backend and Next.js frontend.
-
-## 🚀 Quick Start
-
-### Prerequisites
-- Docker and Docker Compose installed
-- OpenAI API Key
-- Alpha Vantage API Key (optional, for enhanced data)
-
-### Environment Setup
-
-1. Copy your `.env` file in the project root with your API keys:
-```bash
-OPENAI_API_KEY=your_openai_api_key_here
-ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here
-```
-
-### Running with Docker
-
-1. **Build and start all services:**
-```bash
-docker-compose up --build
-```
-
-2. **Access the application:**
-   - Frontend: http://localhost:3000
-   - Backend API: http://localhost:8000
-   - API Documentation: http://localhost:8000/docs
-
-3. **Stop the services:**
-```bash
-docker-compose down
-```
-
-## 📁 Project Structure
-
-```
-TradingAgents/
-├── backend/              # FastAPI backend
-│   ├── app/
-│   │   ├── api/         # API routes
-│   │   ├── models/      # Pydantic models
-│   │   ├── services/    # Business logic
-│   │   └── core/        # Configuration
-│   ├── requirements.txt
-│   └── Dockerfile
-├── frontend/            # Next.js frontend
-│   ├── app/            # Next.js pages
-│   ├── components/     # React components
-│   ├── lib/            # Utilities and API client
-│   ├── hooks/          # Custom React hooks
-│   └── Dockerfile
-├── tradingagents/      # Core TradingAgents package
-└── docker-compose.yml  # Docker orchestration
-```
-
-## 🔧 Backend API
-
-### Available Endpoints
-
-- `GET /api/health` - Health check
-- `GET /api/config` - Get configuration options
-- `POST /api/analyze` - Run trading analysis
-- `GET /api/tickers` - Get popular tickers
-
-### Example API Request
-
-```bash
-curl -X POST http://localhost:8000/api/analyze \
-  -H "Content-Type: application/json" \
-  -d '{
-    "ticker": "NVDA",
-    "analysis_date": "2024-05-10",
-    "research_depth": 1
-  }'
-```
-
-## 🎨 Frontend Features
-
-- **Modern UI**: Built with Next.js, React, and shadcn/ui
-- **Type Safety**: Full TypeScript support
-- **Responsive Design**: Works on desktop and mobile
-- **Real-time Updates**: Live analysis status
-- **Rich Visualizations**: Interactive reports and decisions
-
-## 🛠️ Development
-
-### Running Backend Only
-```bash
-cd backend
-pip install -r requirements.txt
-uvicorn app.main:app --reload
-```
-
-### Running Frontend Only
-```bash
-cd frontend
-npm install
-npm run dev
-```
-
-## 📊 Using the Application
-
-1. Navigate to http://localhost:3000
-2. Click "Start Analysis" or go to the Analysis page
-3. Configure your analysis parameters:
-   - Stock ticker (e.g., NVDA, AAPL)
-   - Analysis date
-   - Research depth (1-5)
-   - LLM models
-4. Click "Run Analysis"
-5. Wait for the multi-agent analysis to complete
-6. Review the trading decision and detailed reports
-
-## 🔐 Security Notes
-
-- Never commit `.env` files with real API keys
-- Use environment variables for sensitive data
-- The backend validates all inputs using Pydantic
-- CORS is configured for frontend-backend communication
-
-## 🐛 Troubleshooting
-
-### Backend Issues
-- Check logs: `docker-compose logs backend`
-- Verify API keys are set correctly
-- Ensure port 8000 is not in use
-
-### Frontend Issues
-- Check logs: `docker-compose logs frontend`
-- Verify backend is running
-- Ensure port 3000 is not in use
-
-### Network Issues
-- Restart Docker: `docker-compose down && docker-compose up`
-- Check network: `docker network ls`
-- Verify services can communicate: `docker-compose exec frontend ping backend`
-
-## 📝 License
-
-This project follows the same license as TradingAgents.
-
-## 🤝 Contributing
-
-See the main README.md for contribution guidelines.