{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/market-trend-prediction-using-sentiment","title":"Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward","arxiv_id":"1903.05440","date":"2019-03-13","proceeding":null,"authors":["Andrius Mudinas","Dell Zhang","Mark Levene"],"abstract":"Financial market forecasting is one of the most attractive practical\napplications of sentiment analysis. In this paper, we investigate the potential\nof using sentiment \\emph{attitudes} (positive vs negative) and also sentiment\n\\emph{emotions} (joy, sadness, etc.) extracted from financial news or tweets to\nhelp predict stock price movements. Our extensive experiments using the\n\\emph{Granger-causality} test have revealed that (i) in general sentiment\nattitudes do not seem to Granger-cause stock price changes; and (ii) while on\nsome specific occasions sentiment emotions do seem to Granger-cause stock price\nchanges, the exhibited pattern is not universal and must be looked at on a case\nby case basis. Furthermore, it has been observed that at least for certain\nstocks, integrating sentiment emotions as additional features into the machine\nlearning based market trend prediction model could improve its accuracy.","url_abs":"http://arxiv.org/abs/1903.05440v1","url_pdf":"http://arxiv.org/pdf/1903.05440v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"market-trend-prediction-using-sentiment","repo_url":"https://github.com/AndMu/Market-Wisdom","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}