An Automated Machine Model Analysis for the Stock Market

摘要

The stock market is changing rapidly as it is effected by different factors. The total revenue shares and the total costs are important aspects that have had a great impact on the stock exchange. The ability to predict the market and its expected outcome is a problem that shareholders are facing today. An economic model that is efficient and simple will help shareholders to predict the market, enhancing a better understanding to which companies they should invest in order to have a better profit. A coded mathematical model, that uses a machine learning techniques, is introduced and applied to the above mentioned problem. The model is able to increase its deterministic automated value.