Abstract:

The paper presents the evolution of stock market based on public statistical data. The forecasting results are triggered using Linear Regression Prediction and Radial Basis Function Networks Prediction. Each stock is represented with a different color and the user can hover over the chart. A price prediction is done for the Amazon stock price, based on the input data for the year 2018. The profit and loss are calculated with respect to the prediction algorithms, but their values also depend on the human factor. As a conclusion, stock market forecasting is useful for the investor who want to simplify their investment decisions based on mathematical algorithms.