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”.
Tentative Date and Time 10 February, Wednesday 13:30 Central European Time
Register Here - http://www.quantinsti.com/blog/automated-trading-with-python-webinar/
