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Blockchain Technology

and convolutional neural network able to remember the previous recall of the bit­

coin price. This will improve the prediction accuracy of the bitcoin price. Moreover,

the difference between predicted accuracy of bitcoin price and actual price of bit­

coin will be minimized with deep learning techniques. The proposed methodol­

ogy should be improved further with advancements in machine learning and deep

learning techniques. Moreover, the proposed model considers only quantitative

parameters to find the bitcoin price. However, the bitcoin price not only depends on

quantitative parameters, and it is also depending on certain number of qualitative

parameters (indirect parameters that cannot be measured in units). For example,

the qualitative parameters such as global market condition, disease spreading level,

pandemic situation due to Covid19, political situation, government authorization for

cryptocurrencies, etc. should be considered to predict the bitcoin price.

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