Quantitative & Algorithmic Trading — A General Introduction with Python

- From idea to rule: momentum, mean reversion, trend
- Backtesting without fooling yourself
- Gear and labs for this course — what to use for the exercises
- Machine learning in quantitative finance
Gear and labs for this course
- Markets, data and returns
- Gear and labs for this course — what to use for the exercises
- Risk, drawdown and performance measures
Execution and Risk
- Position sizing and portfolio risk
- Broker APIs, paper trading and going live
Final quiz
- Final quiz — Quantitative & Algorithmic Trading
Course workbook (PDF)
- Download the full course workbook
Certification
- Certification exam — earn your BP Academy certificate