crypto_trader/docs/deployment

Deployment Guide

This guide covers deploying Crypto Trader in various environments.

Table of Contents

1. AppImage Deployment - Building and distributing AppImage
2. Bluefin Linux - Bluefin Linux specific instructions
3. PostgreSQL Setup - PostgreSQL configuration
4. Updates - Update mechanism and versioning

Deployment Options

AppImage (Recommended)

• Single executable file
• No installation required
• Portable across Linux distributions
• Includes all dependencies

From Source

• Full control over installation
• Customizable configuration
• Development and production use

System Requirements

• OS: Linux (Bluefin recommended), macOS, Windows
• Python: 3.11+ (for source installation)
• Node.js: 18+ (for frontend)
• Memory: 4GB minimum, 8GB recommended
• Storage: 1GB+ for application and data
• Network: Internet connection required
• Redis: Version 5.0+ (for state management)
• PostgreSQL: Version 14+ (for database)

Quick Deployment

AppImage

1. Download AppImage
2. Make executable: chmod +x crypto_trader-*.AppImage
3. Run: ./crypto_trader-*.AppImage

From Source

1. Clone repository
2. Install dependencies: pip install -r requirements.txt
3. Install frontend dependencies: cd frontend && npm install
4. Start Redis (see Redis section below for options)
5. Start Celery worker: celery -A src.worker.app worker --loglevel=info &
6. Start backend: uvicorn backend.main:app --reload --host 0.0.0.0 --port 8000 &
7. Start frontend: cd frontend && npm run dev

Or use the helper script:

./scripts/start_all.sh

Required Services

Redis

Redis is required for distributed state management and Celery background tasks (e.g., ML model training).

# Install (Ubuntu/Debian)
sudo apt-get install redis-server

Starting Redis:

# Option 1: Using system service (requires sudo)
sudo service redis-server start

# Option 2: Direct daemon mode (for containers/restricted environments)
redis-server --daemonize yes

# Verify
redis-cli ping  # Should return PONG

Note

: In containerized environments (Toolbox, Distrobox, etc.) where sudo is not available, use the direct daemon mode option.

Celery Worker

Celery handles background tasks like ML training:

# Start worker
celery -A src.worker.app worker --loglevel=info

# Start with specific queues
celery -A src.worker.app worker -Q ml_training,celery --loglevel=info

Post-Deployment

After deployment:

1. Configure exchanges
2. Set up risk management
3. Verify Redis connection: python scripts/verify_redis.py
4. Test with paper trading
5. Review configuration
6. Start with small positions

Production Considerations

• Use a process manager (systemd, supervisor) for services
• Configure Redis persistence (AOF or RDB)
• Set up monitoring and alerting
• Enable HTTPS for the API
• Configure proper firewall rules