• DocumentCode
    584871
  • Title

    A stock market prediction model using Artificial Neural Network

  • Author

    Abhishek, Kumar ; Khairwa, A. ; Pratap, T. ; Prakash, Sachin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Patna, Patna, India
  • fYear
    2012
  • fDate
    26-28 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The use of Neural networks has found a variegated field of applications in the present world. This has led to the development of various models for financial markets and investment. This paper represents the idea how to predict share market price using Artificial Neural Network with a given input parameters of share market. Artificial Neural Network can remember data of any number of years and it can predict the feature based on the past data. This paper makes use feed forward architecture for prediction. The network was trained using one year data. It shows a good performance for market prediction. The network selected though was not able to predict exact value but it succeeded in prediction the trends of stock market.
  • Keywords
    investment; neural nets; prediction theory; pricing; stock markets; time series; artificial neural network; feed forward architecture; financial markets; investment; market price; stock market prediction model; time series; Artificial Neural Network; Feed Forward Network; Stock Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2012.6396089
  • Filename
    6396089