• Mushkan Tisekar
• Suja Jayachandran

Cryptocurrency market has grown to excess. In the last period, many companies and large investors have started to allocate part of their portfolio in digital currencies. This has aroused even more interest among the population. To date, the cryptocurrency market is highly volatile and large price changes can occur in hours, sometimes even minutes. Given the growing interest, numerous strategies for predicting the price of cryptocurrencies, or its trend, are placed under the lens of scholars and researchers. One of which is the application of Machine Learning techniques. The following work is aimed at studying the possible use of machine learning techniques, in the context of forecasting the closing price. The general idea is to implement models such as GRU, LSTM, CNN-GRU Hybrid neural network for predicting market trends as to maintain and safeguard the capital, thus protecting it from large losses and large negative fluctuations. In this study we will concentrate on one of the most renowned Cryptocurrency currently available in the market i.e., Bitcoin.

"Forecasting Closing Price of Bitcoin Using a CNN-GRU Hybrid Neural Network Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m145-m148, April-2023, Available :http://www.jetir.org/papers/JETIR2304C15.pdf

"Forecasting Closing Price of Bitcoin Using a CNN-GRU Hybrid Neural Network Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppm145-m148, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C15.pdf