6 weeks entirely online,
Self-paced weekly modules,
8–10 hours per week
Learn alongside a global cohort
of like-minded professionals
Choose from flexible
While this programme provides a non-technical introduction to the subject of algorithmic trading, it also includes extra tasks for anyone interested in using Python to develop an Algorithmic Trading Model. These exercises offer a one-of-a-kind opportunity to connect the theoretical material of the programme with real-world commercial applications. Once you’ve started the programme, you’ll have the option of doing these tasks, which will not impact your grades. There is no need for any additional software.
Working with an algorithmic trading model
Discover the process of building a simple trend model, see it in action, verify its validity, and discuss its applications.
Evaluation criteria for systematic models and funds
Understand the key evaluation criteria required for a critical overview of systematic models and funds.
Future trends in algorithmic trading
Learn about future trends in the algorithmic trading sector and the technologies poised to facilitate its growth.
Introduction to classic and behavioural finance theory
Engage with two fundamental approaches to finance and see how theoretical models are applied.
Systematic trading and the state of the investment industry
Discover the history of hedge funds, the evolution of systematic trading over time, and the latest innovations in the algorithmic trading industry.
Technical analysis and the methodology of trading system design
Learn about the primary stages of modelling in financial markets.
Experience a flexible but structured approach to online education as you learn around your schedule
Enjoy a personalised and supported online learning experience
Earn a certificate of attendance from Saïd Business School, University of Oxford