In this episode of Quant Radio, we explore groundbreaking research on how Large Language Models (LLMs) like OpenAI’s technology are being used to predict option returns. Can AI really outperform human traders by analyzing news sentiment? How do models like BERT, Word2Vec, and TF-IDF compare? And what does this mean for the future of investing?
Join us as we break down the findings, uncover the potential (and limitations) of AI-driven trading, and discuss whether this technology is a game-changer for financial markets.
Find the full research paper here: https://community.quantopian.com/c/community-forums/expected-option-returns-and-large-language-models
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.

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