A Survey on Analysis of Stock Market by using Data Mining Techniques

Stock market prediction is a significant area of financial forecasting. Prediction of the stock market is a great interest of stake holders such as stock investors, stock dealers, and researchers. The techniques available in data mining help to discover knowledge and train the prediction systems by using the historical data and real time dataset. The prediction model helps to discern the knowledge about the rise and fall of shares. So, the main aim of this research work is to review the existing prediction algorithms and techniques available for stock market applications. The stock market prediction model helps to discover stock and trends in a wide range of dataset.