Intelligent Crypto Currency Price Predictor

Intelligent Crypto Currency Price Predictor

M.S. Khatib1, Farhan Chavhan2, Abdul Shakeeb3, Tohid Hanfi4, Jay Avchar5 ,Tanmay Belkhede6

Department of Computer Science and Engineering, Anjuman College of Engineering and Technology, Nagpur, India

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. This paper presents a deep learning approach for predicting the prices of cryptocurrencies. The proposed method uses a combination of Long Short-Term Memory (LSTM) neural networks and Recurrent Neural Networks (RNN) to analyze historical data and make predictions. The model was trained and tested using data from the Bitcoin market. The results showed that the proposed method outperformed other state-of-the-art models in terms of accuracy and robustness.

Keywords: Crypto currency, LSTM (Long-Short-Term-Memory), RNN (Recurrent-Neural-Network).