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Stock market is a marketplace that facilitates buying and selling of company stocks. Finding a right time to buy/sell stock considering market movement is a tricky task to decide. Therefore, predicting the trend of stock buying/selling price is of great interest to stock traders and investors to find the right time to buy/sell stocks. This paper, aims to develop an intelligent system using Trend Estimation with Linear Regression (TELR) for predicting and visualizing the predictions. This system can guide a trader/investor however, with or without expertise in the stock market to achieve profitable investments. We have used the Stock data from Stock Exchange Bangladesh which covers 300+ companies including 29 Banks to train and test our system. We have fitted the trend with maximum likelihood estimation method to train our system with the stock data until December 2017 and then test it with the stock value of January 2018. A comparative result of the trend value derived from the intelligent system with real stock value has been presented to show the effectiveness of the Intelligent Decision System.
International Conference on Cyber Security and Computer Science
ICONCS
Md. Iftekharul Alam Efat
Rakibul Bashar
K. M. Imtiaz Uddin
T. Bhuiyan