The video is a recording of the webinar "Automated Trading with Python" which was conducted on 10th February 2016. The webinar aimed at introducing the audience to Python as very well suited for automated financial trading — especially for low- and mid-frequency strategies.

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Get started with Algorithmic Trading - EPAT 👉 [ Ссылка ]
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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 [ Ссылка ]. 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”.
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About the Speaker:
QuantInsti invited Python expert Dr. Yves J. Hilpisch who is the 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.
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About QuantInsti:
QuantInsti is the world's leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by the founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications-based ecosystem for 10+ years
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Most useful links:
Join EPAT – Executive Programme in Algorithmic Trading: [ Ссылка ]
Visit us at: [ Ссылка ]

#AutomatedTrading #PythonForTrading #stockmarket #quanttrader #algotrading #trading #backtesting

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