Oxford Algorithmic Trading Programme
- 6 weeks
- Short programme
About the programme
Learn how to integrate AI, robo-advisers and cryptocurrency into your systematic trading strategy.
In a world where financial trading moves at a pace that humans struggle to keep up with, an understanding of algorithmic trading models and strategies becomes increasingly beneficial.
This programme is for professionals working in the broader financial services industry, including investors, system traders, and quantitative analysts, as well as for technologists designing automated trading architecture, infrastructure, and solutions.
It equips you with a comprehensive understanding of the rules that drive successful algorithmic trading strategies and hedge funds, as well as a grounded introduction to financial theory and behavioural finance.
Delivered in collaboration with digital education provider GetSmarter, a 2U, Inc. brand, you will be part of a community learning together through a dedicated Online Campus.
Welcome to your online campus
Applications to join the programme will be accepted until the end of the orientation module.
Introduction to classic and behavioural finance theory
Review the fundamentals of classical and behavioural finance, and how theoretical trading models are applied.
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.
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.
Building an algorithmic trading model
Assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance.
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.
Future trends in algorithmic trading
Formulate a view on the relationship between emerging technologies and the future of systematic trading.
An introduction to the programme
- The ability to illustrate the methodologies used to model quantitative trading strategies for different types of financial markets.
- An understanding of the fundamentals of classical and behavioural finance and how theoretical trading models are applied in practice.
- The ability to formulate a view on the relationship between emerging technologies and the future of systematic trading.
- Guidance from leading industry experts and Oxford Saïd faculty
- Membership of the official Oxford Saïd elumni community
- Access to the official Oxford Executive Education Elumni group on LinkedIn
What our alumni say
The course was a turning point in my career. Using what I’d learned from the content... I opened my own investment firm... I recommend you take the course and open your eyes to the future of investments.
Industry expert contributors
- Giovanni Dapra - Co-Founder and CEO of MoneyFarm
- Terri Duhon - Associate Fellow, Saïd Business School
- Nikita Fadeev - Portfolio Manager, Fasanara Capital
- Susi Gorbey - Director of Quantitative Strategies Oversight, Tudor Capital Europe
- Anthony Ledford - Chief Scientist, Man AHL
- Martin Lueck - Co-Founder, President and Research Director of Aspect Capital
- Steve Mobbs - Partner and Co-Founder, Oxford Asset Management
- Stephen Roberts - Professor of Machine Learning, University of Oxford
- Matthew Sargaison - Co-Chief Executive Officer, Man AHL
- Hans-Jorg Von-Mettennheim - Chair Quantitative Finance and Risk Management, IPAG Business School
- Stefan Zohren - Associate Professor, Oxford-Man Institute of Quantitative Finance
Babak Mahdavi-Damghani, consultant at EQRC and doctoral researcher at the University of Oxford, shares an insight into the programme and the online learning experience.
Options for organisations
If you are looking to integrate Oxford online programmes with your organisation’s learning and development strategy, we have tailored solutions to help deliver an innovative learning experience across teams.