AI-Driven Real-Time Stock Market Analysis Using IoE

AI-Driven Real-Time Stock Market Analysis Using IoE

Mehta Vani Joghee (Sri Krishna College of Engineering and Technology, India), G. Saravanan (V.S.B. Engineering College, India), Yogesh Mehta (SGT University, India), Vineet Chouhan (Institute of Law, Nirma University, India), Ganesh Ramesh Teltumbade (Mahatma Gandhi Vidya Mandir's Samajshree Prashantdada Hiray College of Management and Technology, Nashi, India), and A. Shaji George (EIT Department, Almarai Company, ITSM, Riyadh, Saudi Arabia)
DOI: 10.4018/979-8-3693-7367-5.ch005
OnDemand:
(Individual Chapters)
Forthcoming
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

The combination of Artificial Intelligence (AI) and the Internet of Everything (IoE). By utilizing the extensive connectivity provided by the Internet of Everything (IoE), enormous amounts of data about stock requests are gathered and reused in real time. A strategy that is driven by artificial intelligence makes use of sophisticated machine learning algorithms to analyze this data, recognize patterns, and forecast future demand trends. The armature of the system incorporates a variety of data sources, such as various social media platforms, financial news, and profitable suggestions, which enhances the system's ability to make accurate predictions. An in-depth performance test reveals that the system is capable of providing timely and accurate stock request perceptivity, beating classic logical approaches in the process. The findings highlight the possibility of combining artificial intelligence and the Internet of Things to improve stock request research. This would provide investors with information that applies to their situation and encourage further informed decision-making.
Chapter Preview

Complete Chapter List

Search this Book:
Reset