Python for Trading Course
Master Python for Trading to turn investment ideas into tested, rule-based strategies. Learn data prep, backtesting, risk and performance metrics, and clear reporting so you can evaluate equity, ETF, and stock strategies with confidence.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Python for Trading Course teaches you how to turn clear rules into tested strategies using real US stock and ETF data. You will build a backtesting engine in Python, model transaction costs, analyze drawdowns, Sharpe and Sortino ratios, and evaluate trade-level performance. Learn to avoid overfitting, document assumptions, create professional plots, and deliver concise, reproducible reports ready for serious review.
Elevify advantages
Develop skills
- Python backtesting: build, run, and debug rule-based equity strategies fast.
- Market data prep: clean US stock/ETF data and avoid survivorship and bias.
- Risk and performance: compute Sharpe, drawdowns, and trade stats in Python.
- Strategy design: turn trading ideas into precise entry, exit, and sizing rules.
- Professional reporting: create clear plots and writeups for investment reviews.
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
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