Majumdar, Dr. MahbubSadat, Noshin Nawar2016-09-082016-09-0820162016-08ID 12101017http://hdl.handle.net/10361/6393Cataloged from PDF version of thesis report.Includes bibliographical references (page 82-83).This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.We study a time series approach to nancial data, speci cally the ARIMA models, and build a web based platform for stock market enthusiasts to analyze time series of stock market returns data and to t ARIMA models to the series to forecast future returns. This system also acts as an informative tool by providing helpful instructions to the users regarding the analysis and model- tting procedure. It uses R to perform the statistical computations.83 pagesenBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Time series approachesAutocorrelation functionThesis