Stock Market Prediction Using Artificial Neural Network
| Author(s) | : | SurajPatil, AkshayGiri, SujeetPhadtare |
| Institution | : | AISSMS IOIT, India |
| Published In | : | Vol. 3, Issue 13 — January 2016 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Stock price prediction is the act of forecasting the future value of a company stock. For forecasting in capitalmarkets, there existdifferent methods like regression, time series and genetics algorithm.From non-liner methods whichmight be used in different forecasting bases are Artificial Neural Networks ANN.This paperimplements artificial neuralnetwork for the stock market prediction.Using historic data and various factors affecting stock values network is trained.Techniques such as Feedforward and Backpropagation are used to reduce the error in predictions.The aim of this paperis to provide a nonlinear prediction system for Stock Market.
SurajPatil, AkshayGiri, SujeetPhadtare, “Stock Market Prediction Using Artificial Neural Network”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 13, pp. -, January 2016.
