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@article{194205,
        author = {Khanbu Arshiya Farheen and Mandala Shirisha and Kodumur Sailaja and Golla Indraja},
        title = {Stock pulse monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3202-3205},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194205},
        abstract = {The rapid growth of financial markets and digital trading platforms has increased the demand for efficient real-time stock monitoring systems. Investors rely on live stock prices, technical indicators, and market-related news to make informed investment decisions. However, continuous manual tracking of stock prices across multiple platforms is time-consuming and inefficient. This paper presents STOCK PULSE, a real-time stock monitoring and intelligent alert system developed using the MERN stack with Typescripts. The system provides live stock price tracking, automated alerts based on price thresholds and technical indicators, real-time updates using Web-sockets, and news-based sentiment analysis. By integrating real-time data streaming and automation, STOCK PULSE offers a centralized, scalable, and user-friendly platform for effective stock market monitoring.},
        keywords = {},
        month = {March},
        }