A Review on Digital Coin Investing Predictor

Abstract

Cryptocurrency is a computerized method of money where transactions are done in the cyber space. This is a digital/soft currency, unlike currency notes they are not hard copies. Emphasizing the varieties of currencies that are decentralized and do not have any third party involvement, therefore ensuring that users can get all the services. Because of the high volatility the currency impacts the international trade and relations. Etherium, Ripple, Bitcoin, Litecoin some examples of popular currencies that exists. The study on popular cryptocurrencies Bitcoin, Ripple, Etherium are performed every year. An effective way to improve the method of predictions using deep learning models namely Grated Reccurrent Unit (GRU) and Long Short-Term Memory (LSTM). The research is devoted to the problems related to predicting crypto currency prices using machine learning and data science. The main algorithms used are: RNN and GRU. The data set will include the past price information from the popular crypto currencies for example: Bitcoin, Ethereum and Ripple. LSTM, RNN and GRU algorithms already exist to predict the future price action but the predictability rate is subpar. The main goal is to combine RNN and GRU Algorithms to form a hybrid and possibly increase the accuracy of the predictions.