Currently, Investment is the crucial section of our country financial system. The forecasting of price indicator is very necessary for stockholders to earn the maximum profit from their investment. The stocks vary by some factors likely financially, political and public. By using typical strategies for stock market forecast lead to precise results. As, the intellectual techniques have this ability that consider the complicated effects of the factors within the analysis, thus we came to use them in stock key prediction. Hence, use of genetic algorithm for predicting and optimizing the input variable in the neural network. Some models be assigned for this predictions as ARIMA as Hybrid by Artificial Neural Networks as approaching Genetic Algorithm.
Volume 11 | 06-Special Issue
Pages: 594-599