{"courseid":"54070","coursename":"Trading Strategies using Python","coursecode":"TSP","courseimage":"https://f.hubspotusercontent00.net/hubfs/8053800/Header%20Images/Group%202%20&%207.jpg","youwilllearn":"
  1. About the universe of trading strategies and their usage
  2. Implementation of data analytics using Python libraries
  3. How to generate trading signals and optimise signal strength in code
  4. Different methods for testing and calculating risk and performance of your strategies
","when":"

1st - 2nd June 2026

19th - 20th November 2026

","prices":"

£3100 (US$3200)

","whoshouldattend":"","priorknowledge":"

A basic understanding of capital markets and securities trading. Some exposure to Python programming would be beneficial.

","teacherimage":"https://f.hubspotusercontent00.net/hubfs/8053800/Teachers/Jamie%20Walton-min.jpg","teachername":"Jamie Walton","teacherbio":"

Dr Jamie Walton has over 18 years of experience as a quant in financial markets. For the last 10 years, he was the head FX quant at Morgan Stanley, where he built the team of FX electronic trading quants.

In recent years, Dr Walton has presented at conferences and written articles on electronic trading, as well as providing independent consultancy in quantitative finance. Dr Walton is also an Honorary Research Fellow at UCL, where he lectures in Financial Mathematics as part of the Masters programme in Financial Mathematics.

","brochureid":"3900","sampleid":"no sample"}