Stock Market Forecasting Using Machine Learning

The stock market appears in the news every day. You hear about it every time it reaches a new high or a new low. Forecasting stock market prices has always been a challenging task for many business analysts and researchers. In fact, stock market price prediction is an interesting area of research for investors. But can someone somehow actually predict the short term price of an individual stock? Many have tried predicting the stock market, but very few have succeeded. It is nearly impossible to predict the market for a long period of time, but with the correct mathematical algorithms, and if other major factors that affect the stock market remain unchanged, we can predict how the stock will act from its previous behavior. For successful investment, many investors are interested in knowing about the future situation of the market. Effective prediction systems indirectly help traders by providing supportive information such as the future market direction. Data mining techniques are effective for forecasting the future by applying various algorithms over data. Given the historical data of a number of stock prices, using machine learning algorithms we would predict their values in the future. In the past decades, there is an increasing interest in predicting markets among economists, policymakers, academics and market makers. The objective of this proposed work is to use existing supervised learning algorithms so as to predict the stock price movements in future.