Thesis submitted in partial fulfillment of the requirements for the degree of master of computer software

Today, when some people are investing in online financial markets, analyzing and predicting stock prices for buying and selling with more profit is very important. Therefore, this article aims to prepare and adjust a program that can predict stock prices and give us information on when is the best time to buy or sell. This work is done with the help of indicators and according to what happened to a share in the past, and with the help of machine learning, a formula is obtained that predicts the price of shares in the future and informs users that they should buy a share now. , sell or do nothing. But in this research, this work is done in a much more advanced way, that is, by combining several indicators, and then it is tested with machine learning algorithms. According to the results obtained in some shares, users can predict the price very accurately and get high profit from their transactions in online financial markets.