چکیده مقاله
Today, the concern of many users and customers of banking applications is knowing the best time to invest in banks To have an algorithm that can inform customers of the best time to invest, one must pay attention to market trends, interest rates, risks, and investment goals This algorithm analyzes the best time for customers to invest using customer financial data, bank interest rates, current inflation, and stock trends and economic indicators It also predicts the right time to invest using data collection and machine learning models Customers are placed in different categories based on their goals and risk tolerance Finally, this algorithm provides the customer with the recommended time and type of investment This algorithm creates a competitive advantage among businesses and users
کلیدواژهها
نویسندگان
Leila Torki
Associate Professor, Department of Economics, Faculty of Administrative Sciences & Economics, University of Isfahan
Shideh Jahangiri
Ms in Management, Department of Management, Faculty of Administrative Sciences & Economics, University of Isfahan
شیوه ارجاع
Torki, Leila and Jahangiri, Shideh,1403,Algorithm for Suggesting the Best Time to Invest in Banking Applications,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز