Deep Learning-Enhanced Intraday Stock Trade Price Prediction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4928-7_7
Reference20 articles.
1. Weng X, Lin X, Zhao S (2022) Stock price prediction based on lstm and Bert. In: 2022 International conference on machine learning and cybernetics (ICMLC), Japan, 2022, pp 12–17. https://doi.org/10.1109/ICMLC56445.2022.9941293
2. Jin Z, Yang Y, Liu Y (2020) Stock closing price prediction based on sentiment analysis and LSTM. Neural Comput Appl 32(13):9713–9729
3. Zhang D, Lou S (2021) The application research of neural network and BP algorithm in stock price pattern classification and prediction. Futur Gener Comput Syst 115:872–879
4. Zhou H, Zhang S, Peng J, Zhang S, Li J, Xiong H, Zhang W (2021) Informer: beyond efficient transformer for long sequence time-series forecasting. In: Proceedings of AAAI, 2021
5. Qiu XP, Sun TX, Xu YG, Shao YF, Dai N, Huang XJ (2020) Pre-trained models for natural language processing: a survey. Sci China Technol Sci 63(10):1872–1897
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