{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T10:14:05Z","timestamp":1783764845310,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819228584","type":"print"},{"value":"9789819228591","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T00:00:00Z","timestamp":1783814400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T00:00:00Z","timestamp":1783814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-2859-1_35","type":"book-chapter","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T10:06:04Z","timestamp":1783764364000},"page":"481-493","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CryptoNewsTrade: An Event-Knowledge Driven Decision Support System for\u00a0Cryptocurrency Trading via\u00a0Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4279-2715","authenticated-orcid":false,"given":"Yingjun","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4053-3236","authenticated-orcid":false,"given":"Shuai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8616-7035","authenticated-orcid":false,"given":"Chao","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2836-7651","authenticated-orcid":false,"given":"Jiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6440-005X","authenticated-orcid":false,"given":"Baigen","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,12]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Baroiu, A.C., Diaconita, V., Oprea, S.V.: Bitcoin volatility in bull vs. bear market-insights from analyzing on-chain metrics and twitter posts. PeerJ Comput. Sci. 9, e1750 (2023)","DOI":"10.7717\/peerj-cs.1750"},{"issue":"11","key":"35_CR2","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1080\/13504851.2022.2060494","volume":"30","author":"MY Day","year":"2023","unstructured":"Day, M.Y., Cheng, Y., Huang, P., Ni, Y.: The profitability of bollinger bands trading bitcoin futures. Appl. Econ. Lett. 30(11), 1437\u20131443 (2023)","journal-title":"Appl. Econ. Lett."},{"key":"35_CR3","unstructured":"Ding, H., Li, Y., Wang, J., Chen, H.: Large language model agent in financial trading: a survey (2024)"},{"key":"35_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2025.02.007","author":"V Gurgul","year":"2025","unstructured":"Gurgul, V., Lessmann, S., H\u00e4rdle, W.K.: Deep learning and NLP in cryptocurrency forecasting: integrating financial, blockchain, and social media data. Int. J. Forecast. (2025). https:\/\/doi.org\/10.1016\/j.ijforecast.2025.02.007","journal-title":"Int. J. Forecast."},{"key":"35_CR5","unstructured":"Inserte, P.R., Nakhl\u00e9, M., Qader, R., Caillaut, G., Liu, J.: Large language model adaptation for financial sentiment analysis. arXiv preprint arXiv:2401.14777 (2024)"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Konstantinidis, T., Iacovides, G., Xu, M., Constantinides, T.G., Mandic, D.: FinLLaMA: financial sentiment classification for algorithmic trading applications (2024). https:\/\/arxiv.org\/abs\/2403.12285","DOI":"10.1145\/3677052.3698696"},{"key":"35_CR7","doi-asserted-by":"publisher","unstructured":"Li, Y., Luo, B., Wang, Q., Chen, N., Liu, X., He, B.: CryptoTrade: a reflective LLM-based agent to guide zero-shot cryptocurrency trading. In: Al-Onaizan, Y., Bansal, M., Chen, Y.N. (eds.) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 1094\u20131106. Association for Computational Linguistics, Miami (2024). https:\/\/doi.org\/10.18653\/v1\/2024.emnlp-main.63","DOI":"10.18653\/v1\/2024.emnlp-main.63"},{"key":"35_CR8","unstructured":"Liu, X.Y., Wang, G., Yang, H., Zha, D.: FinGPT: democratizing internet-scale data for financial large language models (2023). https:\/\/arxiv.org\/abs\/2307.10485"},{"key":"35_CR9","unstructured":"Nie, Y., Nguyen, N.H., Sinthong, P., Kalagnanam, J.: A time series is worth 64 words: long-term forecasting with transformers (2023). https:\/\/arxiv.org\/abs\/2211.14730"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Sundarasen, S., Saleem, F.: From tweets to trades: a bibliometric and systematic review of social media\u2019s influence on cryptocurrency. Int. J. Financ. Stud. 13(2) (2025)","DOI":"10.3390\/ijfs13020087"},{"key":"35_CR11","unstructured":"Wu, H., Hu, T., Liu, Y., Zhou, H., Wang, J., Long, M.: TimesNet: Temporal 2D-variation modeling for general time series analysis (2023). https:\/\/arxiv.org\/abs\/2210.02186"},{"key":"35_CR12","doi-asserted-by":"publisher","unstructured":"Yu, Y., et al.: Fincon: a synthesized LLM multi-agent system with conceptual verbal reinforcement for enhanced financial decision making. In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C. (eds.) Advances in Neural Information Processing Systems, vol.\u00a037, pp. 137010\u2013137045. Curran Associates, Inc. (2024). https:\/\/doi.org\/10.52202\/079017-4354","DOI":"10.52202\/079017-4354"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, B., Yang, H., Liu, X.Y.: Instruct-finGPT: financial sentiment analysis by instruction tuning of general-purpose large language models. arXiv preprint arXiv:2306.12659 (2023)","DOI":"10.2139\/ssrn.4489831"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, W., Skiena, S.: Trading strategies to exploit blog and news sentiment. In: Proceedings of the International AAAI Conference on Web and Social Media 4(1), 375\u2013378 (2010). https:\/\/ojs.aaai.org\/index.php\/ICWSM\/article\/view\/14075","DOI":"10.1609\/icwsm.v4i1.14075"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Mehra, R.: An end-to-end LLM enhanced trading system (2025). https:\/\/arxiv.org\/abs\/2502.01574","DOI":"10.33423\/jabe.v27i6.7961"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-2859-1_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T10:06:06Z","timestamp":1783764366000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-2859-1_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,12]]},"ISBN":["9789819228584","9789819228591"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-2859-1_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,12]]},"assertion":[{"value":"12 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem2026.rosc.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}