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For Python Quants Bootcamps, 18 - 20 June 2019 
London and Online

Delivered by Dr. Yves Hilpisch
Managing Partner and Founder, The Python Quants 

This bootcamp series is designed to provide participants with the Python tools and techniques to get started with algorithmic trading. It starts with the very basics, covers backtesting, machine & deep learning and illustrates the deployment of algorithmic trading in the cloud.  

Python Fundamentals - 18th June
This bootcamp will focus on setting up Python environments for interactive financial analytics and application deployment. Dr. Hilpisch will cover a number of important tools and Python packages; illustrating the use of such packages as NumPy and pandas. He will introduce participants to a trading platform and its API as well as the Python wrapper packages; examples cover basic and first steps, working with historical financial data; streaming data and visualization. 

Trading Strategies - 19th June
This bootcamp will introduce participants to techniques to analyze historical financial data, in particular vectorized backtesting for algorithmic trading strategies based on typical financial indicators. Different classification algorithms to derive algorithmic trading strategies will be discussed. 

Automation - 20th June
In order to be able to deploy and run algorithmic trading strategies in real-time, it is necessary to deal with streaming data and to transform offline algorithms to online algorithms; this bootcamp will cover basic concepts in this regard. Important aspects when it comes to the robust and reliable deployment of algorithmic trading code, cloud deployment, logging and monitoring will be discussed.


CQF Institute Premium Members receive a 25%
CQF Institute Basic Members receive a 10%

How to book your ticket

Existing CQF Institute member?
Sign in to claim your discount code and book your tickets. The link and discount will be displayed on the left-hand side of this page.  

Not a CQF Institute member?
To become a member, register and select the membership you'd like to sign up for. Once registered, the booking link will be available on this page.  

For any questions, please email us at