Leveraging Vision-Language Models for Granular Market Change Prediction
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- Nikolaos Passalis & Anastasios Tefas & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019. "Deep Adaptive Input Normalization for Time Series Forecasting," Papers 1902.07892, arXiv.org, revised Sep 2019.
- Tae Wan Kim & Matloob Khushi, 2020. "Portfolio Optimization with 2D Relative-Attentional Gated Transformer," Papers 2101.03138, arXiv.org.
- Mukul Jaggi & Priyanka Mandal & Shreya Narang & Usman Naseem & Matloob Khushi, 2021. "Text Mining of Stocktwits Data for Predicting Stock Prices," Papers 2103.16388, arXiv.org.
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- Yuzhe Yang & Yifei Zhang & Yan Hu & Yilin Guo & Ruoli Gan & Yueru He & Mingcong Lei & Xiao Zhang & Haining Wang & Qianqian Xie & Jimin Huang & Honghai Yu & Benyou Wang, 2024. "UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models," Papers 2410.14059, arXiv.org, revised Oct 2024.
- Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-02-20 (Big Data)
- NEP-CMP-2023-02-20 (Computational Economics)
- NEP-FMK-2023-02-20 (Financial Markets)
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