Stock market forecasting using machine learning with market sentiment

Abstract

Stock market plays a very important role in economic aspect of the country's growth [6][9], but stock market by its nature is very volatile and complex. It is affected by almost every event be it significant political issues, analyst calls, news articles, company's future plans of expansions and growth and many more. Hence, an investor is always keen in knowing the stock market overtime and how the events mentioned above affect the very behaviour of the stock market. Every day millions of traders invest in stock market[12]. Some of these investors lose money and others gain. However, considering any trading day, loss or gain is absolutely inconsistent. The need to forecast stock prices is very high, hence is the need for stock market analysis [3]. This paper is focused on analysing a stock of any given company based on machine learning algorithms. We try to analyse the underlying price patterns and predict their stock prices based on various situations. Additionally in this paper we try to add the linguistic flavours to already predicted numbers.