Live Stock Market Prediction Model Using Artificial Neural Network

Document Type : Primary Research paper

Authors

1 B. Tech (Scholar), School of Computer Science & Engineering , Sandip University , Nashik , India

2 Associate Professor, School of Computer Science & Engineering , Sandip University , Nashik , India

3 Assistant Professor, School of Computer Science & Engineering , Sandip University , Nashik , India

Abstract

There are no accurate rules for estimating or auguring share prices, the share request is an unorganized area for prognostications. There are several ways used to try and anticipate the price in the stock request, including specialized analysis, elementary analysis, time series analysis, statistical analysis,etc., but none of these ways has been constantly shown to be effective. There are two factors for share price forecasting using ANN training sessions and price forecasting exercising already trained data.A network model for price forecasting, we employed Multilayer Feedforward Network and the Backpropagation algorithm during training sessions. In this exploration, we give a fashion that vaticinations partake price using a multilayer feedforward network and backpropagation algorithm.

Keywords

Int. J. of Aquatic Science
Volume 14, Issue 1
2023
Pages 333-340

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