Open Access
Subscription Access
A Survey on Stock Price Prediction Using AI/ML
Abstract
Need of Stock have become huge with Increase in popularity of Stock market in Digital world. Prediction and Analyzing stock can benefit People to think before buying or selling stocks. So, A New Stock Price Prediction through Deep Learning Algorithms has been prognosticated and visualized. Through this system we can predict of any company’s stock in the world.
References
Adebiyi, A. A., Adewumi, A. O., and Ayo, C. K. (2014). Comparison of ARIMA and artificial neural networks models for stock price prediction. Journal of Applied Mathematics, 2014.
Aghabozorgi, S., Shirkhorshidi, A. S., and Wah, T. Y. (2015). Time-series clustering–a decade review. Information Systems, 53:16–38.
Al-Mahasneh, A. J., Anavatti, S. G., and Garratt, M. A. (2018). Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems. arXiv preprint arXiv:1805.11236.
Alfred, R. et al. (2015). A genetic-based backpropagation neural network for forecasting in time-series data. In 2015 International Conference on Science in Information Technology (ICSITech), pages 158–163. IEEE.
Alpaydin, E. (2014). Introduction to machine learning. MIT press.
6.Althelaya, K. A., El-Alfy, E.-S. M., and Mohammed, S. (2018a). Evaluation of bidirectional LSTM for shortand long-term stock market prediction. In 2018 9th International Conference on Information and Communication Systems (ICICS), pages 151–156. IEEE.
Althelaya, K. A., El-Alfy, E.-S. M., and Mohammed, S. (2018b). Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU). In 2018 21st Saudi Computer Society National Computer Conference (NCC), pages 1–7. IEEE.
Tanuja Sarode(Phd), Amod Murkute on Forecasting Market Price of stock using Artificial Neural Network.
David Morgan on Algorithmic Trading: A complex map.
Refbacks
- There are currently no refbacks.