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Stock Price Forecasting of E-Commerce Company Using Feedforward Backpropagation Neural Network
2019
International Journal of Advanced Trends in Computer Science and Engineering
Stock price forecasting is widely known and has become a special issue in financial and scholarly research. This stock price movement trends to be non-linear and non-stationary which was influenced by many factors. The stock price forecasting involves a lot of processes because in it there is a lot of noise and the conditions are always changing. In recent years, the development of e-commerce has increased rapidly. E-commerce companies have been entered to the stock or trading market where one
doi:10.30534/ijatcse/2019/4081.52019
fatcat:2bihlelg2negfoof7h5dkdmwk4