Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8069-5_36
Reference16 articles.
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3. Srivastava, T., et al.: A Deep Learning (LSTM) Approach for Future Stock Price Prediction. Available at SSRN 4160606 (2022). Last accessed 14 August 2022
4. Althelaya, K.A., El-Alfy, E.M., Mohammed, S.: Stock market forecast using multivariate analysis with bidirectional and stacked (LSTM, GRU). In: 2018 21st Saudi Computer Society National Computer Conference (NCC), pp. 1–7. IEEE (2018). Last accessed 14 August 2022
5. Almasarweh, M., Alwadi, S.: ARIMA model in predicting banking stock market data. Modern Applied Science 12(11), 309 (2018). Last accessed 14 August 2022
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