DEVELOPING A SOFTWARE AS A DECISION-MAKER TO SELL AND BUY STOCK USING STOCHASTIC OSCILLATORS AND EXPONENTIAL MOVING AVERAGE METHODS
Muhammad Rizqi Mubarak · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Stock is one of the income fields that are widely used by investors.The stock market has a high level of interest to many people because it can provide sizeable income to several parties.However, because the stock market movement is very fast, it is not easy to analyze and observe manually because it requires a lot of free time and a special time to analyze and observe it.Therefore, in this study a decision-making system for buying and selling shares automatically and real-time using the Stochastic Oscillator and Exponential Moving Average (EMA) methods.The data collection method used in this study is scraping from the Indonesian stock market website.Scraping data will be processed using the methods that have been mentioned in real-time according to the desired period to produce signals for buying and selling shares.The results of this study have a 77.50% gain based on theoretical calculations in the 30-minute data period.