Algorithmic Trading

Build practical capability in Algorithmic Trading

Test systematic trading ideas and recognize model limitations.

Program portfolio: Commerce & Finance

Topics, tools and practical work

• Market data preparation
• Strategy rules and backtesting
• Transaction costs and risk measures
• Overfitting, validation, and paper trading

Before you start

Python, statistics, and market fundamentals.

Tools to explore

Python; pandas; historical datasets.

Example project

Backtest a sample strategy with costs and an out-of-sample review, using no real money.

Where the skills apply

Quantitative research and trading-system analysis.

Program planning

This is an indicative learning outline. Duration, teaching hours, delivery schedule, assessment, trainer and certificate requirements are confirmed for each individual learner or institutional cohort.

View the public Edxera program overview