Automated Trading with Python [WEBINAR]

Date	Feb 10, 2016
Time	07:30 AM EDT
Cost	Free
Online

Python is 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”.

Speaker Profile: Dr. Yves Hilpisch

Yves J. Hilpisch is founder and managing partner of The Python Quants GmbH, Germany, as well as co-founder of The Python Quants LLC., New York City. The group provides Python-based financial and derivatives analytics software as well as consulting, development and training services related to Python, Open Source and Finance. Yves is also author of the book “Derivatives Analytics with Python” (Wiley Finance, 2015). As a graduate in Business Administration with a Dr.rer.pol. in Mathematical Finance, he lectures on Computational Finance at the CQF Program.

Register Now - http://www.quantinsti.com/automated-trading-with-python-webinar/