AI trading bot deployment guide

Deploy AI trading bots on a VPS for autonomous 24/7 trading

AI trading bots powered by LLMs like GPT-4, Claude, and DeepSeek are replacing traditional script-based bots. They reason about market conditions, adapt to volatility, and execute goal-oriented strategies. Deploying them on a VPS gives you 24/7 uptime, low-latency exchange access, and complete control over your API keys and trading data.

What is probably broken

Running AI trading bots on your laptop risks downtime during critical market moves, exposes API keys to local security gaps, and limits your ability to run multiple strategies simultaneously.

What production should look like

One or more AI trading agents running 24/7 on a hardened VPS, connected to your exchange via restricted API keys, with auto-restart, monitoring alerts, and daily backups.

STEP 01

Choose your trading stack

Pick the right framework for your strategy complexity and AI requirements.

  • Freqtrade: best for rule-based strategies with backtesting and Telegram control.
  • OctoBot: AI-powered with OpenAI/Ollama integration, grid and DCA strategies.
  • ZenithGrid: full autonomous trading with Claude/GPT/Gemini multi-provider support.
  • Custom agentic: use LangChain or CrewAI with your own strategy logic.

STEP 02

Provision a VPS for trading

Trading bots need low latency to exchanges more than raw compute power.

  • Choose a VPS geographically close to your exchange's API servers (Tokyo for Binance, US-East for Coinbase).
  • Minimum specs: 2 vCPU, 4 GB RAM, 40 GB SSD. Hetzner CX22 at $4/month is sufficient for cloud-API agents.
  • For local LLM inference (7B+ models), upgrade to 16+ GB RAM or use cloud APIs.

STEP 03

Secure API keys and exchange connections

Your bot handles keys with access to your funds. Security is non-negotiable.

  • Generate exchange API keys with trade-only permissions: never enable withdrawals.
  • IP-whitelist your VPS address in exchange API settings.
  • Store keys in environment variables or Docker secrets, never in config files.

STEP 04

Deploy with Docker and systemd

Containerised deployment ensures reproducibility and easy recovery.

  • Use Docker Compose for the bot, database (if needed), and any supporting services.
  • Configure systemd or docker-compose restart policy for automatic recovery.
  • Set up a Telegram or Discord alert channel for trade notifications and error alerts.

STEP 05

Monitor and iterate

An unmonitored bot loses money. Build observability from day one.

  • Start in dry-run / paper trading mode before connecting real funds.
  • Monitor CPU, RAM, and disk usage with docker stats or htop.
  • Schedule weekly strategy reviews and backtest updates on a separate machine.

Quick check

Is your app production-ready?

If you cannot tick all five, we can fix it. Send us the repo and we handle the rest.

  • ?Custom domain with HTTPS
  • ?Environment variables configured
  • ?Database wired and backed up
  • ?Auto-deploy on push
  • ?Smoke tested and live

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Done-for-you deploy

Trading bot deployment requires careful setup. RepoAssistant provisions your VPS, wires exchange APIs, deploys your chosen framework, and adds monitoring: fixed price, shipped in 24h.

Fixed price per repo. 24h delivery or full refund. No hourly billing.

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