A Review on different prediction techniques for stock market price

Abstract

In current times different businesses are having decision based on prediction model. The prediction is performed onto the data based on previous years. Using different prediction model the trends in the previous year data is identified. With the help of some supervised machine learning techniques the trend is converted to the future forecast. This process is highly useful for the stock market prediction. Different investors always want to know the future trend before investing. Different researchers have performed research on two ways for the stock market prediction. One is the text mining-based prediction and second is the previous year stock price figures are processed using different prediction models. In recent time text mining-based prediction is picking up and generating better prediction accuracy compared to the other ways. Text mining simply collect the breaking news and identify the expected impact on the future pricing of the stock.