Python for algorithmic trading o'reilly

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Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, arti‐ ficial intelligence, algorithmic trading, and computational finance. He is also founder and CEO of The AI Machine (http://aimachine.io), a company focused on AIpowered algorithmic trading via a proprietary strategy execution platform. 

In addition to this book, he is the author of the following books: 

• Arti%cial Intelligence in Finance (https://aiif.tpq.io) (O’Reilly, 2020) 

• Python for Finance (https://py4%.tpq.io) (2nd ed., O’Reilly, 2018) 

• Derivatives Analytics with Python (https://dawp.tpq.io) (Wiley, 2015) 

• Listed Volatility and Variance Derivatives (https://lvvd.tpq.io) (Wiley, 2017) 

Yves is an adjunct professor of computational finance and lectures on algorithmic trading at the CQF Program (http://cqf.com). He is also the director of the first online training programs leading to university certificates in Python for Algorithmic Trad‐ ing (http://certi%cate.tpq.io) and Python for Computational Finance (http://comp% nance.tpq.io). Yves wrote the financial analytics library DX Analytics (http://dx-analytics.com) and organizes meetups, conferences, and bootcamps about Python for quantitative finance and algorithmic trading in London, Frankfurt, Berlin, Paris, and New York. He has given keynote speeches at technology conf