Oxford Algorithmic Trading Programme

Algorithmic Trading
Understand the impact of automation, AI and machine learning on systematic trading
Start date:
Duration:
  • 6 weeks
Time commitment:
  • Short programme
Location:
  • Online

Cost:

  • £2,300

About the programme

Learn how to integrate AI, robo-advisers and cryptocurrency into your systematic trading strategy.

In a world where trading moves beyond a pace for humans to keep up, an understanding of algorithmic trading models becomes increasingly beneficial.

The programme is intended for professionals working in the broader financial services industry and for technologists designing systematic 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 partnership with online learning provider, GetSmarter, you will be part of a community learning together through a dedicated online campus.

An introduction to the programme

laptop, newspaper and glasses

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.

Vinicius Karam

Quant Strategist for Fasanara Capital, GQS

Benefits

On completion of this programme, you’ll walk away with:

  • The ability to illustrate the methodologies used to model 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, and access to the official Oxford Executive Education Alumni group on LinkedIn.

Meet the faculty

Developed from research in collaboration with the Oxford MAN Institute for Quantitative Finance, the programme is led by Professor Nir Vulkan, an expert across all aspects of technology, economics and finance. You will be guided by prominent industry thought-leaders who will share their experience and in-depth subject knowledge throughout the programme.  

The thinking behind the programme

There are no other standard courses in this subject in the world. The programme has been designed in collaboration with the Oxford MAN Institute for Quantitative Finance to provide a pragmatic, non-technical exploration of the world of algorithmic trading, demystifying the subject. 

The programme is based on the four principles established by Programme Director Nir Vulkan, to guide you through the process of evaluating an algorithmic trading model. Participants will benefit from the latest insights of both financial experts and behavioural specialists drawn from across the University of Oxford and the investment industry.

Utilising Oxford’s unique blend of AI, Behavioural and Finance specialisms, the programme comprehensively explores both the human and technological factors of this rapidly evolving area, putting participants at the forefront of available learning.

Programme impact

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. 

Curriculum

Orientation module

Welcome to your online campus

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.

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.

Be able to assess whether a trading model or fund is worth investing in based on key evaluation criteria.

Module 6

Future trends in algorithmic trading.

Formulate a view on the relationship between emerging technologies and the future of systematic trading.

Contact

Options for organisations

If you are looking to integrate Oxford online programmes with your organisation’s Learning & Development strategy, we have tailored solutions to help deliver an innovative learning experience across teams.