Machine Learning in Stock Market Movement Intelligent Forecast System

Machine learning, with the advent of big data technologies and high-performance computing, has created new opportunities for data-intensive science in the multidisciplinary agricultural technology field. Meanwhile, the stock market can be one of the popular domains, which can be analyzed by machine learning. However, the stock market forecasting and analysis is one of the hardest tasks to accomplish. The reason behind this is market volatility and various other dependent and independent variables that may affect the value of a particular stock in the market. These variables reduce the accuracy of inventory forecasts. At this time, with the advent of machine learning and its powerful algorithms, the machine learning can combine the big data in a linear pattern. This article examines various techniques for predicting stock prices, ranging from the machine learning like learning methods to neural networks, and graph-based methods. It offers a detailed analysis of the techniques used to predict stock prices and so other fields.