| Publisher DOI: | 10.1109/CIFER62890.2024.10772772 | Title: | Quantitative Market Situation Embeddings: Utilizing Doc2Vec Strategies for Stock Data | Language: | English | Authors: | Voigt, Frederic Alcarez Calero, Jose Dahal, Keshav Wang, Qi von Luck, Kai Stelldinger, Peer  |
Other : | Institute of Electrical and Electronics Engineers | Keywords: | quantitative analysis; stock embeddings; stock movement prediction; stock price prediction | Issue Date: | 10-Dec-2024 | Publisher: | IEEE | Part of Series: | 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) : 22-23 Oct. 2024 | Conference: | IEEE Symposium on Computational Intelligence for Financial Engineering and Economics 2024 | URI: | https://hdl.handle.net/20.500.12738/18037 | ISBN: | 979-8-3503-5483-6 979-8-3503-5484-3 |
Review status: | This version was peer reviewed (peer review) | Institute: | Department Informatik Fakultät Technik und Informatik |
Type: | Chapter/Article (Proceedings) |
| Appears in Collections: | Publications without full text |
Show full item record
Add Files to Item
Note about this record
Export
Items in REPOSIT are protected by copyright, with all rights reserved, unless otherwise indicated.