Webinar | AI, Finance, and Algorithmic Trading

As artificial intelligence, machine learning, and data science are fundamentally changing the world, we need to investigate how they’re impacting finance and algorithmic trading, particularly at a time when markets are so vulnerable and volatile. In this webinar, Dr. Hugo Bowne-Anderson (DataCamp) and Dr. Yves Hilpisch (The Python Quants) discuss how AI can be leveraged in finance, how it compares to more traditional approaches, and why data scientists are now key players in finance. They also discuss uncertainty and risk, and how useful AI and machine learning can be in market crashes, during black swan events, and in volatile markets.

• Yves is the author of five books

  • Artificial Intelligence in Finance (O’Reilly, forthcoming)

  • Python for Algorithmic Trading (O’Reilly, forthcoming)

  • Python for Finance (2018, 2nd ed., O’Reilly)

  • Listed Volatility and Variance Derivatives (2017, Wiley Finance)

  • Derivatives Analytics with Python (2015, Wiley Finance)

• The Python Quants