Paper Key : IRJ************188
Author: Waghmode Anurath,Prof. P. P. Narode,Patil Piyush,Patil Yash,Pandit Karan
Date Published: 07 Nov 2024
Abstract
This project presents the design and development of a social-media-integrated stock trading platform that enables users to seamlessly buy, sell, and monitor stocks while engaging with a community of traders. The platform incorporates social media functionalities, allowing users to post market insights, comment on othersanalyses, and share trading experiences, thus fostering a collaborative trading environment. Key features include real-time stock data, a user-friendly interface for trade execution, and an interactive feed for posting and viewing updates on market trends. Integration with secure authentication protocols ensures user privacy and data integrity, while advanced algorithms prioritize trending stocks and posts, facilitating informed, data-driven trading decisions. The project also explores the use of machine learning to personalize user feeds and enhance the relevance of suggested posts. With an emphasis on user engagement and data security, this platform bridges the gap between social interaction and efficient stock trading.Keyword:- Social media integration, Stock trading, User engagement, Data-driven decisions, Trending algorithm, Secure authentication, Machine learning.
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