Predicting Future Cryptocurrency Prices Using Machine Learning Algorithm

• Python
• Machine Learning

Cryptocurrencies are a digital way of money in which all transactions are held electronically. It is a soft currency which doesn?t exist in the form of hard notes physically. The main challenge of bitcoin exchange rate is its high rate of price ?uctuation. High price volatility implies a certain measure should be taken to predict the price of bitcoin accurately. Knowing the forecasting activity is necessary to tell about the future price of bitcoin and build trust as well as acceptance throughout the world. In?uenced by a variety of factors, such as political system, public relations, and market policy of a country, can determine economical role of bitcoin and international relation of countries on different market strategies. In our project, we especially focused on a popular cryptocurrency, i.e., bitcoin. From many types of virtual currencies, bitcoin has a great acceptance by different bodies such as investors, researchers, traders, and policy-makers. To the best of our knowledge, our target is to implement the efficient deep learning-based prediction models specifically long short-term memory (LSTM) and gated recurrent unit (GRU) to handle the price volatility of bitcoin and to obtain high accuracy. The goal of the project involves comparing these two time series deep learning techniques and proved the efficacy in forecasting the price of bitcoin.