Regression Analysis for Stock Market Prediction using Weka Tool without Sentiment Analysis

Conference: Sixth International Conference on Computational Intelligence and Information Technology
Author(s): Sudip Padhye, Karuna Gull Year: 2016
Grenze ID: 02.CIIT.2016.6.522 Page: 78-87

Abstract

The paper deals with prediction of stock value for upcoming week, for various companies by knowing the previous weeks stock data. Stock data for different companies are collected from NSE India, which are given as input to the various regression methods using weka tool, the output of which is tabulated. By applying the numerical methods on this tabulated data we get aggregation. Thus aggregated data which is the predicted value for the successive week, is then compared with the actual data picked from NSE after completion of that successive week. Finally statistical analysis is depicted for comparison with the help of graphs.

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CIIT - 2016