Data Analytics System for Digital Currency Price Prediction Using Regression Algorithm

Digital currencies like dollars, euros, and yen are analogous to cryptocurrencies. One can purchase and sell bitcoins using exchanges. For several months in 2017, the market capitalization of cryptocurrencies increased dramatically, which significantly increased their appeal. As a result, interest in virtual currencies has increased. Unlike traditional paper money, which may be created as needed by the market, the supply of cryptocurrency is finite. This prevents currency depreciation and printing inflation from occurring. The remaining 21 million cryptocurrencies are expected to take a long time to mine, and related infrastructure will be required to handle such large computations, possibly with a low return in the future, given the limited supply of cryptocurrencies and the fact that 80% of them had already been mined by mid-July 2018. Utilizing machine learning, this programme assists with cryptocurrency price forecasting. To quantitatively to tell beforehand bitcoin prices with greater precisely. The proposed system uses the LSTM algorithm, a machine learning algorithm, as demonstrated by experimental results, to predict cryptocurrency prices with a high level of accuracy.