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@article{163510,
        author = {Udaya R and V Balaji Vijayan and Santhosh Purumu and Tarun Purohit B and Tejus B},
        title = {Forecasting Stock Prices using LSTM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2179-2184},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163510},
        abstract = {In order to meet the significant need for precise forecasts in the financial markets, this article provides a comprehensive approach for stock forecasting and visualisation. A thorough review of the literature is part of the technique, which outlines several approaches to stock data forecasting and visualisation. In our work, we employ powerful visualisation techniques like time series plots and candlestick charts together with intricate forecasting models like ARIMA and LSTM. To ascertain if our forecasts were accurate, we conducted experiments using actual stock data and examined the results. Our findings demonstrate how well our method provides investors and financial professionals with important information.},
        keywords = {},
        month = {},
        }