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28 April 2023 Research and implementation of deep-learning-based stock opening price forecasting system
Sun MaLi
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Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126104G (2023) https://doi.org/10.1117/12.2671287
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
As economic globalization advances, financial market is increasingly favored by investors. With the development and strong demand of financial market, the forecast of stock price trend has aroused widespread attentions from both the academic and industry. As is well known, stock investment has both high returns and high risks. However, it is difficult to quantify the internal and external factors that affect stock market fluctuations, and it is also difficult to process massive and complex stock data. Therefore, traditional non-artificial intelligence approaches are not always satisfactory in forecasting stock price. Therefore, it has great significance to use big data technologies to excavate massive useful information hidden in stocks as well as to use neural network technology such as LSTM to further solve the problem of stock price trend forecast. In the paper, we report a development and implementation of deep learning-based stock opening price forecasting system based.
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Sun MaLi "Research and implementation of deep-learning-based stock opening price forecasting system", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126104G (28 April 2023); https://doi.org/10.1117/12.2671287
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KEYWORDS
Data modeling
Education and training
Neural networks
Performance modeling
Machine learning
Evolutionary algorithms
Deep learning
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