Python Crypto Trading Bot: Build, Backtest & Deploy

Learn to fetch crypto data, design strategies, backtest & optimize, then deploy a 24/7 automated trading bot

What you'll learn

• Collect and process real crypto market data directly from exchange APIs, including handling pagination and calculating key indicators.
• Design and backtest algorithmic trading strategies by building a custom Python backtesting engine and applying professional performance metrics
• Optimize and manage risk in automated strategies by tuning parameters, adding stop-loss and target-profit logic, and avoiding common curve-fitting pitfalls.
• Deploy a fully automated trading bot to the cloud—connect to an exchange testnet, run 24/7, and adapt the framework to their own strategies and markets.

Requirements

Basic Python knowledge – be comfortable with variables, loops, functions and simple data structures (lists, dictionaries).

Description

Build a Fully-Automated Crypto Trading Bot in Python – From Zero to 24/7 Deployment

Learn how professional algorithmic traders design, test, and run crypto strategies—without relying on black-box libraries or expensive tools.

This hands-on course takes you step-by-step from raw market data to a live, cloud-hosted trading bot.

What You’ll Learn

Fetch and Prepare Data

• Access real-time and historical crypto data through exchange APIs.
• Handle pagination and calculate key technical indicators to power your strategy.

Backtest the Right Way

• Discover why plug-and-play backtesting libraries can be dangerous.
• Build your own backtesting engine from scratch for complete transparency.
• Include costs, slippage, and commissions for realistic results.
• Measure performance with professional metrics: Total Return, Sharpe Ratio, Max Drawdown.

Optimize and Control Risk

• Tune strategy parameters with light and in-depth optimization.
• Integrate stop-loss and target-profit logic, then optimize those risk controls.

Go Live with Confidence

• Connect securely to an exchange testnet and place orders programmatically.
• Package your strategy into an executable Python script ready for production.
• Deploy your bot to a cloud server for true 24/7 autonomous trading.

Why This Course Stands Out

• No black boxes – understand every line of code you run.
• Practical focus – real exchange APIs, real deployment steps.
• Transferable skills – adapt the framework to any market or strategy.

Prerequisites

• Basic Python (functions, loops, simple data structures)
• Basic trading knowledge is helpful but not required

Who this course is for:

• Python developers or data-science enthusiasts who want to apply their coding skills to real-world trading projects.
• Aspiring algorithmic or quantitative traders who want to learn how to design, backtest and deploy automated crypto strategies.
• Crypto investors and hobbyists interested in building bots to test and automate their own trading ideas.
• Finance or engineering students looking for a practical project that combines programming, trading logic and cloud deployment.