Cryptocurrency Price Prediction Using Machine Learning

K. Ramya Laxmi; Marri Abhinandhan Reddy; CH. Shivasai; P. Sandeep Reddy

K. Ramya Laxmi Assistant Professor, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India
Marri Abhinandhan Reddy Student, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India.
CH. Shivasai Student, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India.
P. Sandeep Reddy Student, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India.

Keywords: Recurrent Neural Network, Long Short Term Memory, Machine Learning, Cryptocurrency.

Abstract

The digital currency in which encryption techniques are used to regulate the generation of units of currency is said to be called cryptocurrency. The technology used here is used to explores the next day change in the price of cryptocurrency. It is a challenge for a common person to achieve with varying degrees of success. But this is achieved through the implementation of a optimized recurrent neural network (RNN) and a Long Short Term Memory (LSTM) network.

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