How to Deploy an AI Crypto Trading Bot on Your VPS

Step 1: Set Up the Server

SSH into your VPS and install the essentials:

sudo apt update && sudo apt install -y python3.12 python3.12-venv python3-pip mysql-server libomp-dev





  

  

  Create the database





sudo mysql -e "CREATE DATABASE crypto_bot;"



sudo mysql -e "CREATE USER 'crypto_bot'@'localhost' IDENTIFIED BY 'your-strong-password';"



sudo mysql -e "GRANT ALL ON crypto_bot.* TO 'crypto_bot'@'localhost';"

git clone 



cd crypto_bot



bash deploy/install.sh

Step 3: Configure Your API Keys

Copy the example environment file and fill in the keys from the table above. Never commit this file — it’s git-ignored for a reason.

cp .env.example .env



nano .env

ANTHROPIC_API_KEY=sk-ant-...



BINANCE_API_KEY=your_testnet_key



BINANCE_SECRET=your_testnet_secret



TELEGRAM_BOT_TOKEN=your_bot_token



TELEGRAM_CHAT_ID=your_chat_id



MYSQL_PASSWORD=your-strong-password



TESTNET=true          # keep this true

Step 4: Train the ML Model

The bot ships without a trained model — you train it once on historical data. This is the only CPU/RAM-heavy step:

source venv/bin/activate



python3 -c "import ml_signal, market_data as md; ml_signal.train_model(md.get_exchange())"

💡 Low-RAM VPS? Run this same command on your laptop, then copy the generated ml_models/ folder to the server with scp. The bot’s runtime is light; only training is hungry.

Step 5: Start the Bot and Connect Telegram

sudo systemctl start crypto-bot



sudo systemctl enable crypto-bot   # auto-start on reboot

Now open Telegram, find your bot, and send /start. Within a few minutes you’ll get your first analysis message. Useful commands: /status, /analyze, /performance, /history.

Adding the Dashboard (Optional)

The bot is fully functional headless, but the Next.js dashboard is where you see why it does everything. It’s a separate app (plus a Laravel API for auth and role-based access) served behind nginx. The full stack is: bot → Laravel API (php-fpm) → Next.js dashboard (PM2) → nginx reverse proxy with SSL. It’s more involved than the bot itself, so I’m keeping the deep detail in the repo’s deployment docs rather than bloating this post.

🛠️ Wanted: a one-command docker compose up for the whole stack is on the roadmap. If you’d enjoy building it, it’s the single highest-impact contribution right now —
☕

Part 3 — How to Contribute to the Project

Tags: AI Crypto Trading Bot, VPS Deployment, Self-Hosting, Binance, DevOps

Disclaimer: For educational and research purposes only. Not financial advice, not a solicitation to trade. Cryptocurrency trading carries substantial risk of loss. Always start on testnet and never trade money you can’t afford to lose.

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