Prediction of HDFC Bank Stock Price Using Machine Learning Techniques

Stock market prediction is one of the research areas which demands more accuracy because of the involvement of money. A more accurate prediction of a stock’s price increases the gain of investors. In this paper, HDFC bank’s stock prices are predicted using machine learning techniques. The main target of this work is to predict the next day’s opening price based on open price (the price at which the stock opened on a specific day), high price (the highest price of the stock on a specific day), low price (the lowest price of the stock on a specific day), close price (the price at which the stock closed on that specific day), volume (number of transactions that occurred for the company, i.e. HDFC bank on a specific day), 5 DMA (5 days moving average of the opening price), 10 DMA (10 days moving average of the opening price), 20 DMA (20 days moving average of the opening price), and 50 DMA (50 days moving average of the opening price). Furthermore, a comparative study is presented to ascertain which moving average yields improved accuracy.