{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T02:05:40Z","timestamp":1772935540667,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401488","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"6948-6955","source":"Crossref","is-referenced-by-count":0,"title":["A Multimodal Agent for Stock Price Trend Forecasting"],"prefix":"10.1109","author":[{"given":"Xiaojia","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Computer Institute of Big Data Intelligence Forecasting Beijing Information Science & Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingfen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering, Institute of Big Data Intelligence Forecasting Beijing Information Science & Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiying","family":"Du","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering, Institute of Big Data Intelligence Forecasting Beijing Information Science & Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2007.01232.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2010.01625.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21314\/JCF.2016.322"},{"key":"ref5","volume-title":"Advances in Financial Machine Learning","author":"de Prado","year":"2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00152"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhv059"},{"key":"ref8","article-title":"Bloomberggpt: A large language model for finance","author":"Wu","year":"2023","journal-title":"arXiv"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4489826"},{"key":"ref10","article-title":"React: Synergizing reasoning and acting in language models","author":"Yao","year":"2022","journal-title":"arXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671801"},{"key":"ref12","article-title":"Toolformer: Language models can teach themselves to use tools","author":"Schick","year":"2023","journal-title":"arXiv"},{"key":"ref13","article-title":"Webgpt: Browser-assisted question-answering with human feedback","author":"Nakano","year":"2021","journal-title":"arXiv"},{"key":"ref14","article-title":"Gpt-4 technical report","author":"Achiam","year":"2023","journal-title":"arXiv preprint"},{"key":"ref15","article-title":"Temporal data meets 11 m - explainable financial time series forecasting","author":"Yu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref16","article-title":"Ploutos: Towards interpretable stock movement prediction with financial large language model","author":"Tong","year":"2024","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.185"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3648330"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/366"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3309547"},{"key":"ref22","first-page":"2327","article-title":"Deep learning for event-driven stock prediction","volume-title":"IJCAI","author":"Ding","year":"2015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1462198.1462204"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e40095"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.56830\/IJAMS10202401"},{"key":"ref26","article-title":"Explainable-ai powered stock price prediction using time series transformers: A case study on bist100","author":"\u00c7al\u0131k","year":"2025","journal-title":"arXiv preprint"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-025-02023-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm18080417"},{"key":"ref29","article-title":"Finmultitime: A four-modal bilingual dataset for financial time-series analysis","author":"Xu","year":"2025","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401488.pdf?arnumber=11401488","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:34:55Z","timestamp":1772868895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401488\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401488","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}