Python Algorithm Trading Course
This course equips learners with practical Python skills for algorithmic trading, from data handling and strategy development to backtesting, risk assessment, and professional reporting.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Python Algorithmic Trading Course teaches you how to source, clean, and analyse US equity and ETF data, build rule-based strategies, and backtest them reliably in Python. You will work with pandas, create signals, model transaction costs, size positions, and evaluate performance using Sharpe, drawdowns, and benchmark comparisons, then present clear, well-documented results and assumptions like a professional analyst.
Elevify advantages
Develop skills
- Quant data cleaning: rapidly prepare reliable OHLCV price series in pandas.
- Strategy design: turn trading ideas into clear, testable Python rule sets.
- Python backtesting: code vectorised signal, P&L, and portfolio simulations.
- Risk and performance: compute Sharpe, drawdowns, and benchmark comparisons.
- Professional reporting: document assumptions, biases, and results for stakeholders.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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