£474 – £594

Algo Trading With Python Workshop 2017

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Fitch Learning

2nd Floor, The Corn Exchange, 55

Mark Lane

London

EC3R 7NE

United Kingdom

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Algo Trading With Python Workshop

7th & 8th November

Fitch Learning 2nd Floor, The Corn Exchange, 55 Mark Lane, London, EC3R 7NE

This two-day intensive training covers all technical topics relevant in the context of algorithmic trading:

- Pandas for data analysis and vectorized backtesting of trading strategies
- Object oriented programming with Python for event-based backtesting
- Working with sockets and real-time/streaming data
- Price prediction with regression and machine learning approaches
- Working with the Oanda trading platform and API (historical data and backtesting, streaming data and automated trading)
- Deploying trading strategies in the cloud for automated, monitored trading


For more information, visit: http://www.qiconference.com/


Terms and Conditions
These workshops are being organised by the CQF Institute (part of Fitch 7city Learning). 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 speaker will be responsible for the workshop material. Fee includes attendance to the workshop. 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. If you wish to opt out, please contact the CQF Institute at events@cqfinstitute.org. For full details of the terms and conditions, please visit: http://www.cqfinstitute.org/content/website-terms-conditions-use-and-privacy-statement

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Date and Time

Location

Fitch Learning

2nd Floor, The Corn Exchange, 55

Mark Lane

London

EC3R 7NE

United Kingdom

View Map

Refund Policy

No Refunds

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