Publication: Technical patterns and news sentiment in stock markets
Technical patterns and news sentiment in stock markets
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Leippold, M., Wang, Q., & Yang, M. (2024). Technical patterns and news sentiment in stock markets. Journal of Finance and Data Science, 10, 100145. https://doi.org/10.1016/j.jfds.2024.100145
Abstract
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Abstract
This paper explores the effectiveness of technical patterns in predicting asset prices and market movements, emphasizing the role of news sentiment. We employ an image recognition method to detect technical patterns in price images and assess whether this approach provides more information than traditional rule-based methods. Our findings indicate that many model-based patterns yield significant returns in the US market, whereas top-type patterns are less effective in the Chinese market. The model demonstrates high accuracy in trainin
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- Wang, Qian
- Yang, Min
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Leippold, M., Wang, Q., & Yang, M. (2024). Technical patterns and news sentiment in stock markets. Journal of Finance and Data Science, 10, 100145. https://doi.org/10.1016/j.jfds.2024.100145
