The Oxford Algorithmic Trading Programme from Saïd Business School, University of Oxford provides a comprehensive understanding of the principles that drive successful algorithmic trading strategies and hedge funds, as well as an introduction to financial theory and behavioral finance. The six-week algorithmic trading course, led by Nir Vulkan, introduces four principles that guide the evaluation of algorithmic trading models. Additionally, students learn about biases present in the market and how behavioral traits create exploitable patterns. Upon completion, learners will have the ability to assess the worth of investing in a trading model or fund.

The course targets professionals in the trading and investment field, including those unfamiliar with algorithmic trading. The course offers insights from industry leaders and top academics on the challenges facing algorithmic systematic traders, making it relevant for anyone interested in this topic. It will also appeal to professionals looking to understand the expected impact of AI and automation on the future of financial trading. The course suits private and part-time traders seeking to enhance their trading skills and experiment with algorithmic trading models. The course is non-technical, but learners interested in the technical aspects of algorithmic trading can engage in optional activities to learn how to build a model using Python. These activities are voluntary and conducted through an integrated development environment, with no additional software required.