Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36402-0_23
Reference16 articles.
1. Akita, R., Yoshihara, A., Matsubara, T., Uehara, K.: Deep learning for stock prediction using numerical and textual information. In: 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), Okayama, Japan, pp. 1–6 (2016). https://doi.org/10.1109/ICIS.2016.7550882
2. Ghosh, P., Neufeld, A., Sahoo, J.K.: Forecasting directional movements of stock prices for intraday trading using LSTM and random forests. Finan. Res. Lett. 46, 102280 (2022). https://doi.org/10.1016/j.frl.2021.102280
3. Pagolu, S., Reddy, K., Panda, G., Majhi, B.: Sentiment analysis of Twitter data for predicting stock market movements, pp. 1345–1350 (2016). https://doi.org/10.1109/SCOPES.2016.7955659
4. Sidi, L.: Improving S&P stock prediction with time series stock similarity. arXiv preprint arXiv:2002.05784 (2020)
5. Selvamuthu, D., Kumar, V., Mishra, A.: Indian stock market prediction using artificial neural networks on tick data. Financ. Innov. 5(1), 1–12 (2019). https://doi.org/10.1186/s40854-019-0131-7
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