ABSTRACT
Economic growth in the 21st century relies on the participation of the people in economic activities (e.g., trade and commerce and investing). In Indonesia, one particularly common economic activity is to invest in the stock market due to the wide array of companies that investors could choose to invest in. Therefore, this paper will discuss the prediction of stock prices using the Gauss–Newton representation-based algorithm (GNRBA). The proposed method provides users with a more effective algorithm. Investors and potential investors could use the methods discussed in this paper to make an informed decision in investing.
