AN STUDY ON STOCK PRICE PREDICTION USING MACHINE LEARNING AND CLOUD COMPUTING

Computer Engineering

As Indians are getting more and more prosperous their savings and investment trends are also changing. Many are not putting their extra money in banks but tends to invest it to get more returns. The best investment destination for many is stock markets, where due to online demat accounts one can easily invest and keep track of the investment by sitting at home or while working. But stock market has its own drawbacks as an investor needs understanding of the stocks he is investing. If he does not look in to financials of a company, he may lose money on a junk stock. So, this kind of investment ecosystem needs help for an investor and a project can be developed which will help an investor save his money and put money on right stocks. So, our stock price prediction framework will be a combination of cloud computing, mobile computing, desktop computing and machine learning together. We are choosing Android app on user side to get stock prices as its penetration in to day life is almost 100 %. First a user sends a request by entering a stock name from his mobile app designed and part of our system. The stock request is then fetched by the desktop server using cloud. We will then create a training dataset by using Yahoo Finance API and getting historical data of the stock. Then a machine learning algorithm Linear Regression is trained and it predicts the prices that the stock can achieve. This price list is then sent to the user using cloud. An alert will also be sent to the user to check price list. Then the user can login and view the stock price list on his mobile. Thus, our system will successfully help an investor in getting better insight of the stock’s price behavior and decide to invest accordingly. Thus, using our system an investor can save a lot of money and time while handling an investment in stock market.

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