Forecasting of Cryptocurrency Values using Machine Learning (original) (raw)
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International Journal of Scientific Research in Science and Technology, 2022
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IJERT-Predicting Price of Cryptocurrency -A Deep Learning Approach
International Journal of Engineering Research and Technology (IJERT), 2021
https://www.ijert.org/predicting-price-of-cryptocurrency-a-deep-learning-approach https://www.ijert.org/research/predicting-price-of-cryptocurrency-a-deep-learning-approach-IJERTCONV9IS03083.pdf Bitcoin, a type of cryptocurrency is currently a thriving open-source community and payment network, which is currently used by millions of people. As the value of Bitcoin varies everyday, it would be very interesting for investors to forecast the Bitcoin value but at the same time making it difficult to predict. Bitcoin is a cryptocurrency technology that has attracted investors because of its big price increases. This has led to researchers applying various methods to predict Bitcoin prices such as Support Vector Machines, Multilayer Perceptron, RNN etc. To obtain accuracy and efficiency as compared to these algorithms this research paper tends to exhibit the use of RNN using LSTM model to predict the price of cryptocurrency. The results were computed by extrapolating graphs along with the Root Mean Square Error of the model which was found to be 3.38.