Discover the cutting-edge fusion of AI and finance in our breakdown of Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. This groundbreaking research explores how advanced language models (LLMs) can predict stock movements with transparency and clarity—eliminating the traditional "black box" problem in AI. Through the innovative Summarize, Explain, Predict (SEP) framework, these models analyze tweets, distill key insights, learn from past predictions, and generate explainable stock forecasts. See how this method outperforms traditional models in accuracy and even builds high-performing investment portfolios—all while providing human-readable reasoning. Join us to explore the future of AI in finance and learn how these self-reflective LLMs are transforming decision-making for investors. Don’t miss out—watch now and stay ahead in the world of AI-powered finance! 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.