Version 1
: Received: 29 June 2024 / Approved: 1 July 2024 / Online: 1 July 2024 (13:07:33 CEST)
How to cite:
Bai, X.; Zhuang, S.; Xie, H.; Guo, L. Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction. Preprints2024, 2024070084. https://doi.org/10.20944/preprints202407.0084.v1
Bai, X.; Zhuang, S.; Xie, H.; Guo, L. Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction. Preprints 2024, 2024070084. https://doi.org/10.20944/preprints202407.0084.v1
Bai, X.; Zhuang, S.; Xie, H.; Guo, L. Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction. Preprints2024, 2024070084. https://doi.org/10.20944/preprints202407.0084.v1
APA Style
Bai, X., Zhuang, S., Xie, H., & Guo, L. (2024). Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction. Preprints. https://doi.org/10.20944/preprints202407.0084.v1
Chicago/Turabian Style
Bai, X., Hangyu Xie and Lingfeng Guo. 2024 "Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction" Preprints. https://doi.org/10.20944/preprints202407.0084.v1
Abstract
The paper explores using generative artificial intelligence (AI) in financial market data management and forecasting. By integrating multiple data sources and feature extraction techniques, such as fundamental analysis, technical indicators, global economic data, and sentiment analysis, generative AI constructs a comprehensive deep learning framework that significantly enhances financial data management efficiency and market forecasts' accuracy. Specifically, technologies like generative adversarial networks (Gans) and variational autoencoders (VAE) demonstrate substantial data augmentation and model optimisation potential. The application value of the model in real-time market prediction and trading strategy optimization is further amplified through reinforcement learning methods.
Keywords
Generative artificial intelligence, financial markets, data management, forecasting
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
