A Predictive System for Efficient Portfolio Management: An Application of ANN and Technical Indicators

Author:

Pandey AnkitaORCID,Joshi RuchikaORCID,Upreti HimanshuORCID

Publisher

Springer Nature Singapore

Reference18 articles.

1. Atsalakis, G. S., & Valavanis, K. P. (2009). Surveying stock market forecasting techniques–Part II: Soft computing methods. Expert Systems with applications, 36(3), 5932–5941.

2. Das, D., Sadiq, A. S., Ahmad, N. B., & Lloret, J. (2017). Stock Market prediction with big data through hybridization of data mining and optimized neural network techniques. Journal of Multiple-Valued Logic & Soft Computing, 29, 157–181.

3. De Prado, M. L. (2018). Advances in financial machine learning. John Wiley & Sons.

4. Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

5. Gurjar, M., Naik, P., Mujumdar, G., & Vaidya, T. (2018). Stock market prediction using ANN. International Research Journal of Engineering and Technology, 5(3), 2758–2761.

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