Crytocurrency price prediction using machine learning

Cryptocurrencies are a digital way of money in which all transactions held electronically. It is soft currency doesn’t exist the form hard notes physically. Here, we emphasizing difference fiat decentralized that without any third-party intervention virtual users can get services. However, getting services these cryptocurrencies impacts on international relations and trade, due to its high price volatility. There several currencies such as bit-coin, ripple, ethereum, ethereum classic, lite coin, etc. In our study, especially focused popular cryptocurrency, i.e., bitcoin. From many types currencies, bitcoin has great acceptance by different bodies investors, researchers, traders, policy-makers. To best knowledge, target implement efficient deep learning-based prediction models. Specifically long short-term memory (LSTM) gated recurrent unit (GRU) handle volatility obtain accuracy. Our study involves comparing two time series learning techniques proved efficacy forecasting