Trading Strategies Bootcamp
13 November 2019
Fitch Learning, The Corn Exchange, 55 Mark Lane, London, EC3R 7NE

Day 2 of a 3-day Python bootcamp series - This 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.

Trading Strategies
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.

Presented by Dr J Yves Hilpisch, Founder & Managing Partner, The Python Quants

Tickets to attend either in London or online will gain access to videos of your chosen event(s) on demand for up to 60 days.

PLEASE NOTE: Travel and accommodation should only be booked once the bootcamps have been confirmed. The CQF Institute will notify you once the bootcamps have been confirmed as taking place.

Other events in this bootcamp series:

Python Infrastructure and Basics - 12 Novemvber - https://www.eventbrite.co.uk/e/python-infrastructure-and-basics-tickets-67183506677

Automation - 14 November - https://www.eventbrite.co.uk/e/automation-bootcamp-tickets-67187085381

Package Bookings: Receive a 15% discount when booking at least two bootcamps. For package bookings, email us at events@cqfinstitute.org

Terms and Conditions
These workshops are being organised by the CQF Institute (part of Fitch Learning) and The Python Quants. While we will make every effort to deliver them, we reserve the right to change or cancel the published event dates due to unforeseen circumstances. Receipt of the booking form constitutes formal agreement to attend and acceptance of the terms and conditions stated. The Python Quants will be responsible for the bootcamp material. Fee includes attendance to the bootcamp. The registration fee does not include any travel costs or any costs of accommodation. If you are unable to attend no refund can be given but you may nominate a colleague to take your place. By registering for this event you agree to any photography and video that may take place. You also agree for your data to be collected and used by Fitch Learning in line with their privacy policy and terms of use, as listed below. If you wish to opt out, please contact the CQF Institute at CQFInstitute@fitchlearning.com.

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