چکیده مقاله
Artificial intelligence AI has been introduced in data analysis recently, especially in Iran, as one of the branches of computer science, and has brought significant changes in the fields of agriculture, industry, and medicine Today, the application of AI has expanded to such an extent, used in all scientific fields such as stock and Forex forecasting In the current essay, after a brief review of AI fields and time series models, the application of this system in the field of Forex and stock forecasting is discussed First, the method used by AI to predict is presented In the forecasting phase, the algorithms, after learning the process of trading cryptocurrencies and stocks, proceed to extract the pattern from data, and they are then able to predict the future value of trading on stocks and cryptocurrencies It is hoped that this article can be effective for researchers in economics, statistics, and AI in solving complex problems
کلیدواژهها
نویسندگان
Jafar Abdollahi
Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Laya Mahmoudi
Faculty of Management and Accounting, Allameh Tabataba’i University Tehran, Iran
شیوه ارجاع
Abdollahi, Jafar and Mahmoudi, Laya,1400,Investigation of artificial intelligence in stock market prediction studies: Review,10th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی20 آبان 1400