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@article{200385,
        author = {Navneet Mishra and Kaif Nayab Khan and Navneet Dubey},
        title = {Stock-Hive: A scalable Stock Market Analytics and Visualization Framework},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4144-4148},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200385},
        abstract = {This paper presents Stock-Hive, A scalable stock market analytics and visualization framework designed to simulate a real-time stock analytics environment. The system enables users to monitor stock price movements, analyse historical trends, and interpret market behaviour through interactive visualization techniques. The platform utilizes structured datasets inspired by major stock exchanges such as NSE and BSE to provide a reliable and efficient analytical interface. It incorporates features such as dynamic charting, candlestick visualization, curated financial news, watchlist tracking, and a simulated trading environment for beginner-level practice. The application is developed using modern frontend technologies, ensuring a responsive and user-friendly experience. The system demonstrates how financial data can be effectively processed and visualized to support informed decision-making and enhance user understanding of market dynamics.},
        keywords = {Stock Market Analysis, Real-Time Analytics, Financial Data Visualization, NSE, BSE, Web-Based Dashboard, Candlestick Charts, CSV Data Processing, Watchlist System, Stock Simulation, User Interface Design, React Application},
        month = {May},
        }