ID: 815

Stock Price, News and Transformer

kaira

133 views / 9 months

References

Data were in [1-10] and obtained on January 24, 2024.
[1] Y. Dong, D. Yan, A. I. Almudaifer, S. Yan, Z. Jiang and Y. Zhou, "BELT: A Pipeline for Stock Price Prediction Using News," 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 1137-1146, doi: 10.1109/BigData50022.2020.9378345.
[2] D. Daiya and C. Lin, "Stock Movement Prediction and Portfolio Management via Multimodal Learning with Transformer," ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 3305-3309, doi: 10.1109/ICASSP39728.2021.9414893.
[3] Qiuyue Zhang, Chao Qin, Yunfeng Zhang, Fangxun Bao, Caiming Zhang, Peide Liu, Transformer-based attention network for stock movement prediction, Expert Systems with Applications, Volume 202, 2022, 117239, https://doi.org/10.1016/j.eswa.2022.117239.
[4] Chaojie Wang, Yuanyuan Chen, Shuqi Zhang, Qiuhui Zhang, Stock market index prediction using deep Transformer model, Expert Systems with Applications, Volume 208, 2022, 118128, https://doi.org/10.1016/j.eswa.2022.118128.
[5] Fazlija B, Harder P. Using Financial News Sentiment for Stock Price Direction Prediction. Mathematics. 2022; 10(13):2156. https://doi.org/10.3390/math10132156
[6] Li C, Qian G. Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network. Applied Sciences. 2023; 13(1):222. https://doi.org/10.3390/app13010222
[7] Tashreef Muhammad, Anika Bintee Aftab, Muhammad Ibrahim, Md. Mainul Ahsan, Maishameem Meherin Muhu, Shahidul Islam Khan, and Mohammad Shafiul Alam, Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market, International Journal of Computational Intelligence and Applications, Vol. 22, No. 03, 2350013 (2023)
[8] A. T. Haryono, R. Sarno and K. R. Sungkono, "Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators," in IEEE Access, vol. 11, pp. 77132-77146, 2023, doi: 10.1109/ACCESS.2023.3298445.
[9] T. S. Mian, “Evaluation of Stock Closing Prices using Transformer Learning”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 5, pp. 11635–11642, Oct. 2023. https://doi.org/10.48084/etasr.6017

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