Oxford Algorithmic Trading Programme

Algorithmic Trading Cover Image
​Understand systematic trading

Start date:

Duration:

  • 6 weeks

Time commitment:

  • Short Programme

Location:

  • Online

Cost:

  • £2,300

About the programme

Algorithmic trading was formed in the 1970s – the rise of machine learning and artificial intelligence has accelerated its advance substantially.

Trading occurs at an incredibly fast pace, making it impossible for humans to keep up.

In this programme, you will learn how to implement a successful algorithmic trading model.

The programme covers:

  • what drives successful hedge funds
  • the methodologies used to model trading strategies for different types of financial markets
  • how to determine whether a fund is worth investing in based on key evaluation criteria

An introduction to the programme

laptop, newspaper and glasses

Meet the faculty

The programme is led by Professor Nir Vulkan, and is guided by prominent industry thought-leaders who will share their experience and in-depth subject knowledge with you throughout the programme.

The benefits

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After successfully completing this highly interactive and supported online learning journey, 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.

Programme curriculum

Orientation module

Welcome to your Online Campus

Module 1

Introduction to classic and behavioural finance theory

Module 2

Systematic trading and the state of the investment industry

Module 3

Technical analysis and methods for trading system design  

Module 4

Building an algorithmic trading model

Module 5

Evaluation criteria for systematic models and funds

Module 6

Future trends in algorithmic trading

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