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@article{190113,
        author = {Shravani Rajkumar Kadwade and Sayali Revansiddh Doke and Vyanketesh Audumbar Shinde and Prof. O. M. Patil and Prof. N. M. Kamble},
        title = {A Full-Stack Stock Trading Platform Using MERN Stack with JWT Authentication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2331-2336},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190113},
        abstract = {This page presents the design and development of a web-based Stock Trading Platform implemented using the MERN stack (MongoDB, Express.js, React.js, and Node.js) to provide a secure and interactive virtual trading environment for beginners and stock market enthusiasts. The platform enables users to register and authenticate securely, access real-time stock market data through third-party APIs, and perform virtual buy and sell operations using a simulated balance without financial risk. It offers features such as order history tracking, portfolio performance analysis, and graphical insights through interactive dashboards, helping users understand market trends and trading strategies effectively. The system emphasises scalability, responsiveness, and data security through JWT-based authentication and encrypted password storage, ensuring a reliable user experience across devices. By bridging the gap between theoretical knowledge and practical exposure, the proposed platform serves as an effective learning and practice tool for enhancing stock market awareness and decision-making skills.},
        keywords = {Stock Trading Platform, MERN Stack, Virtual Trading, Web Application, Real-Time Stock Data},
        month = {January},
        }