STOCK MARKET PREDICTION ANALYSIS USING MACHINE LEARNING ALGORITHMS

Abstract

Stock Market data has been used by many people to extract the profit from the market. Due to rise in technology and artificial intelligence, it has become easy to do analysis and predict the future prices based on the past performance of the given stock. Market prediction is in the forefront of development of deep learning algorithms. With the advancement in neural networks, there are different ways to predict the stock price. Artificial intelligence techniques are being used in conjunction with data mining to solve a real-world problem. Deep learning algorithm has increased the profits of countless people in the past few years. We are going to use deep learning model to predict the price of the stock. We propose a system that uses stacked LSTM model to predict the future prices. Our main aim is to see how this simple implementation will bring acceptable results.