Programme Content
Programme outline
Orientation module
The orientation module will prepare you for the rest of the programme and will:
familiarise you with the online campus
provide you with an overview of the programme handbook
introduce you to the programme team
cover some introductory course material including pre-reading materials, basic definitions and a glossary
This will stand you in good stead as you embark on the rest of your programme.
Module 1
Introduction to classic and behavioural finance theory
Review the fundamentals of classical and behavioural finance, and how theoretical trading models are applied.
Module 2
Systematic trading and the state of the investment industry
Interpret the historical and current state of systematic trading as well as the key challenges and opportunities faced by the industry.
Module 3
Technical analysis and methods for trading system design
Illustrate the processes used to model automated trading systems for different types of financial markets.
Build a simple time series momentum model in Python and evaluate the performance of a long-only strategy using the Sharpe, Sortino and Calmar ratios.
Module 4
Building an algorithmic trading model
Assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance.
Module 5
Evaluation criteria for systematic models and funds
Assess whether a trading model or fund is worth investing in based on key evaluation criteria.
In modules 4 and 5, you will build a simple volatility-scaled time series momentum model, weight signals using different timescales and use more sophisticated methods.
Module 6
Future trends in algorithmic trading
Formulate a view on the relationship between emerging technologies and the future of systematic trading.
