{"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":"

11th - 12th November 2024

","prices":"

£3600 (US$4000)

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

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

","teacherimage":"https://8053800.fs1.hubspotusercontent-na1.net/hubfs/8053800/Teachers/Katia%20Babbar.png","teachername":"Katia Babbar","teacherbio":"

Katia Babbar holds a BSc in Mathematics from University College London and a PhD in Stochastic Analysis from Imperial College. With over 20 years of experience in the financial industry in the City of London, she has held leadership positions at UBS, Citi, and Lloyds Banking Group, overseeing FX Derivatives Quant Research teams and e-FX Algo Trading as a Managing Director. As a Visiting Lecturer at the University of Oxford, Katia teaches courses on Statistics Financial Data Analysis and Decentralized Finance for the MSc in Mathematical and Computational Finance program. She is also a co-founder of Immersive Finance, a prominent FinTech company specializing in institutional-grade risk management and alpha generation for Digital Assets.

","brochureid":"3341","sampleid":"no sample"}