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Published on Feb 15, 2016
The video is a recording of the webinar "Automated Trading with Python" which was conducted on 10th February, 2016. The webinar aimed at introducing audience to Python as very well suited for automated financial trading — especially for low- and mid-frequency strategies.
This Webinar illustrates how easy it is to implement typical steps of an automated trading approach:
-Historical data scraping -Backtesting of trading strategies -Working with streaming data -Automated trading in real-time
All examples shown are based on the platform and API of http://oanda.com. Background information about Python and the libraries used can be found in the O’Reilly book Hilpisch, Yves (2014): “Python for Finance – Analyze Big Financial Data”.
QuantInsti invited Python expert Dr. Yves J. Hilpisch who is founder and managing partner of The Python Quants GmbH, Germany, as well as co-founder of The Python Quants LLC., New York City. As a graduate in Business Administration with a Dr.rer.pol. in Mathematical Finance, he lectures on Computational Finance at the CQF Program.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading (EPAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
Please feel free to contact us at (+91) 22 61691400 or (+91) 9920448877 or you can even write us at firstname.lastname@example.org, for any queries you might have.