PRICE PREDICTION AND ANALYSIS FOR CRYPTOCURRENCIES

The advancement of financial technology resulted in the invention of digital money, which opened up the possibility of profitable cryptocurrency investment. Investors are looking for a dependable approach to forecast market fluctuations in cryptocurrency values in order to support their investing plan. Numerous research on various cryptocurrencies have been undertaken in order to precisely anticipate values. Based on the aforementioned argument, The advanced hybrid model combines the strengths of Gated Recurrent Units (GRU) and Long Short Term Memory (LSTM) to anticipate Bitcoin, Ethereum and Ripple values in this paper. Because it has been properly trained and validated using generally accessible data sets, the suggested model can be used in real-time applications. The results demonstrate that the model estimates prices more precisely than earlier models.