Quant Radio: Technical Patterns and News Sentiment in Stock Markets
Description
Dive into groundbreaking research from Leipold, Wang, and Yang that bridges the gap between technical chart patterns and market sentiment to reveal new ways of predicting stock movements. This discussion explores how convolutional neural networks (CNNs) analyze market patterns alongside news sentiment, creating a powerful tool for both identifying trends and amplifying trading signals. Learn how combining technical analysis with AI-powered sentiment tracking generated high returns in both U.S. and Chinese markets. Whether you’re a seasoned investor, a finance enthusiast, or a beginner just getting started, this video offers a fresh perspective on understanding the psychological undercurrents that drive market behavior.
Check out the research paper here: https://community.quantopian.com/c/community-forums/technical-patterns-and-news-sentiment-in-stock-markets.
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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.