Application of Genetic Algorithm to Predict Stock Price Index Using Artificial Neural Networks

  • Authors

    • M. Tawarish
    • Dr. K.Satyanarayana
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.28.28348
  • Artificial Neural Networks, Genetic Algorithm, Price Index, Stock Market, Compound Model as Hybrid-ARIMA.

  • Abstract

    Investment is the vital part of our country economy. The prediction of price index is very essential for stockholders to earn the highest profit from their investment. The changes of stock market rage by several factors such as political, economic and public factors, using classic strategies for stock market prediction lead to precise results. Since, the intelligent techniques have this capability that contemplate the complicated effects of the factors within the analysis,thus we cameto use them in stock index prediction. Therefore, using genetic algorithm for predicting and optimizing the input variable in the neural network. The study of this research in artificial neural network and genetic algorithm for predicting the stock price for National Stock Exchange. For this cause, the economic data such as open market price of Forex, CPCL stock price  and the price as inputs to compound model and total index  that compared with outputs in compound model.The prediction may giveenhanced result.

     

     

  • References

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  • How to Cite

    Tawarish, M., & K.Satyanarayana, D. (2018). Application of Genetic Algorithm to Predict Stock Price Index Using Artificial Neural Networks. International Journal of Engineering & Technology, 7(4.28), 710-716. https://doi.org/10.14419/ijet.v7i4.28.28348

    Received date: 2019-03-14

    Accepted date: 2019-03-14

    Published date: 2018-11-30