Stock Market Prediction: Using Historical Data Analysis

Abstract

The Stock market process is full of uncertainty and it's affected by many factors. Hence the Stock market prediction is one of the important exertions in business and finance. There are two types of analysis possible for prediction, fundamental and technical. In this paper both fundamental and technical analysis are considered. fundamental analysis is done using social media data by applying sentiment analysis process. Social media data has high impact today than ever, it can helpful in predicting the trend of the stock market and Technical analysis is done using historical data of stock prices by applying machine learning algorithms. The method involves collecting news and also collect social media data and extracting sentiments expressed by individual. Then the correlation between the sentiments and stock values is analysed. The learned model can then be used to make future predictions about stock value. It's can be shown that this method is able to predict the stock performance and sentiment and social data are also closely correlated with recent news.