Python Crypto Trading Bot: Build, Backtest & Deploy
Python Crypto Trading Bot: Build, Backtest & Deploy
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 54m | 1.76 GB
Instructor: Python for Finance Mastery
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 54m | 1.76 GB
Instructor: Python for Finance Mastery
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.
Python Crypto Trading Bot: Build, Backtest & Deploy
