Quant Radio: Machine Learning Meets Stock Picking

In this episode, we dive into groundbreaking research on machine learning for stock selection. Can algorithms really beat the market? Join us as we explore a study that tested models on decades of S&P 500 data. From simple regressions to neural networks, we unpack how these tools work, their strengths and weaknesses, and the surprising results. Discover: - Why some AI models are better at predicting stock performance. - The power of combining algorithms in an ensemble approach. - What it takes to achieve a staggering 20.8% annual return. Whether you're a finance enthusiast or just curious about the role of tech in investing, this episode will give you plenty to think about. Tune in now and uncover the future of stock picking! For more quant-focused content, join us at ⁠⁠⁠⁠https://community.quantopian.com⁠⁠⁠⁠. There, you can explore a wealth of resources, connect with fellow quants, engage in insightful discussions, and enhance your skills through our extensive range of online courses. Quant Radio is an AI-generated podcast, intended to help people develop their knowledge and skills in Quant finance. This podcast is not intended to provide investment advice.