README.md

🚀 Getting Started with NOFX

Language: English | 中文

This section contains all the documentation you need to get NOFX up and running.

📋 Deployment Options

Choose the method that best fits your needs:

🐳 Docker Deployment (Recommended)

Best for: Beginners, quick setup, production deployments

• English: docker-deploy.en.md
• 中文: docker-deploy.zh-CN.md

Pros:

• ✅ One-command setup
• ✅ All dependencies included
• ✅ Easy to update and manage
• ✅ Isolated environment

Quick Start:

cp config.json.example config.json
./scripts/start.sh start --build

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🤖 AI Configuration

Custom AI Providers

• English: custom-api.en.md
• 中文: custom-api.md

Use custom AI models or third-party OpenAI-compatible APIs:

• Custom DeepSeek endpoints
• Self-hosted models
• Other LLM providers

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🔑 Prerequisites

Before starting, ensure you have:

For Docker Method:

• ✅ Docker 20.10+
• ✅ Docker Compose V2

For Manual Method:

• ✅ Go 1.21+
• ✅ Node.js 18+
• ✅ TA-Lib library

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📚 Next Steps

After deployment:

1. Configure AI Models → Web interface at http://localhost:3000
2. Set Up Exchange → Add Binance/Hyperliquid credentials
3. Create Traders → Combine AI models with exchanges
4. Start Trading → Monitor performance in dashboard

🔐 Optional: Enable Admin Mode (Single-User)

For single-tenant/self-hosted usage, you can enable strict admin-only access:

1. In config.json set the 2 fields below:

{
	"admin_mode": true,
  ...
  "jwt_secret": "YOUR_JWT_SCR"
}

2. Set environment variables (Docker compose already wired):

• NOFX_ADMIN_PASSWORD — admin password (plaintext; hashed on startup)

3. Login at /login using the admin password. All non-essential endpoints are blocked to unauthenticated users while admin mode is enabled.

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⚠️ Important Notes

Before Trading:

• ⚠️ Test on testnet first
• ⚠️ Start with small amounts
• ⚠️ Understand the risks
• ⚠️ Read Security Policy

API Keys:

• 🔑 Never commit API keys to git
• 🔑 Use environment variables
• 🔑 Restrict IP access
• 🔑 Enable 2FA on exchanges

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🆘 Troubleshooting

Common Issues:

1. Docker build fails → Check Docker version, update to 20.10+
2. TA-Lib not found → brew install ta-lib (macOS) or apt-get install libta-lib0-dev (Ubuntu)
3. Port 8080 in use → Change API_PORT in .env file
4. Frontend won't connect → Check backend is running on port 8080

Need more help?

• 📖 FAQ
• 💬 Telegram Community
• 🐛 GitHub Issues

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