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Artificial Intelligence in Finance
A Python-Based Guide
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About the author
Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (https://tpq.io) and The AI Machine (https://aimachine.io). The group focuses on Open Source technologies for Financial Data Science, Artificial Intelligence, Algorithmic Trading, Computational Finance, and Asset Management. It also provides data, financial and derivatives analytics software (see Quant Platform and DX Analytics) as well as consulting services and Python for Finance online and corporate training programs.
Yves is author of the books Financial Theory with Python (O’Reilly, 2021), Artificial Intelligence in Finance (O’Reilly, 2020), Python for Algorithmic Trading (O’Reilly, 2020), Python for Finance (2nd ed., O’Reilly, 2018), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). As a graduate in Business Administration with a Dr.rer.pol. in Mathematical Finance, he lectures on Computational Finance at the CQF Program and is Adjunct Professor of Computational Finance. Yves is also the director of the Certificate Program in Python for Finance.
Furthermore, Yves organizes Python for Finance, AI, and Algorithmic Trading Meetup group events in Berlin, Frankfurt, Paris, London (see Python for Quant Finance) and New York (see AI & Algo Trading).
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Github Repository
All Jupyter Notebooks and all Python code files for easy cloning and local usage are available on Github. Just clone the Github repo and run the codes within Jupyter Notebook or Jupyter Lab.
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DR YVES J HILPISCH
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The Experts in Data-Driven and AI-First Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Algorithmic Trading and Computational Finance.