A Review of Stock Prediction Using Various Machine Learning Techniques

Abstract

Abstract: Stock market prediction is a complex task due huge volume of data that keeps on changing, and various uncertainties and interrelated local and global economic factors. The key to successful stock price forecasting is achieving best results with minimum amount of required input data. Thanks to the development of technology, in recent years more and more research in the field of the prediction is being done and it becomes easier for us to make stock price prediction by using various ways that include machine learning, deep learning and many other such technologies. Many exceptional innovations in the field of Machine Learning, have been enforced to develop a short-term prediction model. This paper surveys a number of resources from research papers that have studied on the topic. Keywords: Stock market, machine learning, artificial intelligence, neural networks, technical analysis.