Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{159103,
        author = {Ms.G.Anusha and B.Sahithi and P. Vamsi naidu and M. Manohar and S. Sai Durga Venkat},
        title = {Forecasting and Analyzing the prices of cryptocurrencies},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {516-519},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159103},
        abstract = {In this paper mainly focused on analysing the prices of cryptocurrency. Initially collect the bitcoin datasets for trained dataset. Then will provide the user queries for bitcoin testing data set. After classification process of random forest algorithm and LSTM(long short-term)algorithm using to the already analysing data set and user provide current dataset. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision. Our results show that non-trivial, but ultimately simple, algorithmic mechanisms can help anticipate the short-term evolution of the crypto currency market. },
        keywords = {cryptocurrency, analysis, long-short term algorithm, random forest algorithm},
        month = {},
        }