This talk considers the consequences of recent advances in the field of Artificial Intelligence (AI) for finance in general and algorithmic trading in particular. The talk is about building an AI-powered, scalable algorithmic trading system mainly using Python.
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading and computational finance. He is the author of the books (http://books.tpq.io):
- Python for Finance (O’Reilly, 2014),
- Derivatives Analytics with Python (Wiley, 2015) and
- Listed Volatility and Variance Derivatives (Wiley, 2017).
Yves lectures on computational finance at the CQF Program, on algorithmic trading at EPAT and is the director of the first online training program leading to a University Certificate in Python for Algorithmic Trading.
Yves has written the financial analytics library DX Analytics and organizes meetups, conferences and bootcamps about Python for quantitative finance in Frankfurt, Berlin, Paris, London and New York. He has given keynote speeches at technology conferences in the United States, Europe and Asia (http://hilpisch.com).
Event Timeslots (1)
Track A (Upper Floor)