"Machine Learning for Algorithmic Trading" with author Stefan Jansen скачать в хорошем качестве

"Machine Learning for Algorithmic Trading" with author Stefan Jansen

If you're eager to join future webinars, unlock a vast library of quantitative finance resources and educational content, and become part of a vibrant community of like-minded individuals, you'll find all that and more at https://community.quantopian.com/home. In this session of the Quantopian Book Conversations series, we welcome Stefan Jansen, author of the widely acclaimed book Machine Learning for Algorithmic Trading. Stefan shares the story behind the book’s creation, the challenges of working with financial data, and how his work bridges the gap between machine learning theory and practical application in quantitative finance. Topics covered include: The evolution of the book across editions Domain-specific challenges in applying ML to finance Reinforcement learning and synthetic data The importance of simplicity, data quality, and domain knowledge Insights on alternative data, high-frequency trading, and the future of algorithmic trading Language models and the potential role of quantum computing This in-depth conversation is a must-watch for aspiring quants, data scientists, and anyone interested in the intersection of finance and machine learning. 🔗 Stefan Jansen's book: https://www.amazon.com/Machine-Learni... Learn more by subscribing to our YouTube channel to access all of our videos. As always, if there are any topics you would like us to focus on for future videos, please comment below or send us a quick note at info@quantopian.com. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.