A Study on Stock Market Forecasting and Machine Learning Models: 1970–2020

The Stock market predictions refer to the study of the historical behaviour of stock parameters and estimates the future direction. Many strategies are used to predict the stock market using specific mathematical, statistical or machine learning methods. Nowadays, machine learning methods have become extremely popular because of their ability to produce highly accurate results and predicted values. The major roles of machine learning models are to draw generalized pattern on the basis of input data and producing a desired output. This work presents a detailed review of different learning models used to predict the stock market for last 50 years (1970 to 2020). The factors considered in this work are predicting strategies, highly cited publications, performance measurement parameters and recent developments. Finally, this work looks at the prediction’s techniques used and summarizes the key success metrics used by each paper.