A TFD Approach to Stock Price Prediction

Author:

Chanduka Bhabesh,Bhat Swati S.,Rajput Neha,Mohan Biju R.

Publisher

Springer Singapore

Reference18 articles.

1. Skabar, A., Cloete., I.: (2002) Neural networks, financial trading and the efficient markets hypothesis. In: ACSC 02: Proceedings of the Twenty-fifth Australasian Conference on Computer Science, pp. 241–249. Australian Computer Society, Inc., Darlinghurst, Australia

2. Nayak, R., Braak, P.: Temporal pattern matching for the prediction of stock prices. In: Proceedings of the Second International Workshop on Integrating Artificial Intelligence and Data Mining, pp. 95–103. Australian Computer Society, Inc, Darlinghurst, Australia

3. Ferreira, T., Vasconcelos, G.C., Adeodato, P.: A new evolutionary method for time series forecasting. In: ACM Proceedings of Genetic Evolutionary Computation Conference-GECCO, pp. 2221–2222. ACM, Washington, DC (2005)

4. Oliveira, F., Nobre, C., Zarate, L.: Applying artificial neural networks to prediction of stock price and improvement of the directional prediction index Case study of PETR4, Petrobras, Brazil. Expert Syst. Appl. 40(18), 7596–7606 (2013). ISSN 0957-4174

5. Luo, L., Chen, X.: Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction. Appl. Soft Comput. 13(2), 806–816 (2013). ISSN 1568-4946

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