Forecasting and Analyzing the prices of cryptocurrencies
Ms.G.Anusha, B.Sahithi, P. Vamsi naidu, M. Manohar, S. Sai Durga Venkat
cryptocurrency, analysis, long-short term algorithm, random forest algorithm
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.
Article Details
Unique Paper ID: 159103

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 516 - 519
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