Algorithm Trading Course
Master every layer of algorithmic trading — from market microstructure and Python-based signal generation to live execution infrastructure and quantitative risk management. This course gives you the technical skills and practical frameworks used by professional quant traders at hedge funds and proprietary trading firms. Whether you're breaking into the field or levelling up your existing knowledge, you'll finish with working code and battle-tested strategies.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
You'll start by understanding how electronic markets operate, then move into Python programming for financial data pipelines, technical indicator construction, and systematic signal generation. From there, you'll design and implement a full backtesting engine, build trend-following and mean-reversion strategies, and apply professional-grade risk management and position sizing techniques. You'll also learn how execution algorithms minimise transaction costs and market impact. The course covers machine learning for trading signals, portfolio optimisation, and alternative data integration. By the end, you'll have the skills to deploy a live algorithmic trading system with proper monitoring, logging, and pre-trade risk controls.
Elevify advantages
Develop skills
- Backtesting Engine Design: Build a rigorous event-driven backtesting system that avoids common biases.
- Signal Generation: Construct and combine momentum, trend, and mean-reversion indicators systematically.
- Live Deployment: Connect a fully automated strategy to a broker API with real-time risk controls.
- Risk Management: Apply Kelly criterion, VaR, and drawdown controls to protect and size capital.
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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