Predicting Bitcoin Trends Using Machine Learning and Deep Learning Algorithms via Continuous and Binary Data — A Comparative Analysis

Bitcoin is a cutting-edge payment system and a brand-new form of money known as a cryptocurrency. A cryptocurrency is a digital asset designed with the purpose of securing financial transactions, preventing the creation of new units, and validating the transfer of assets. It uses strong cryptography to do these things. Because we can't predict accurately and sentiment analysis of bitcoin from twitter tweets, we seek to utilize machine learning to examine historical changes in currency prices and try to discern a trend in prices. A competent chart reading talent can assist you in determining whether to purchase or sell. The project we are working on demonstrates or assists you in determining when to purchase or sell any stock. Our program collects data from the previous years. As the software accumulates data over a longer period of time, its accuracy improves. After gathering the data, it creates its own chart by evaluating prior occurrences, and that chart can assist in determining when to purchase and when to sell. This analysis is tested using various machine learning and deep learning algorithms. As predicted Long Short-Term Memory (LSTM) have dominated in results compared to the other models used for prediction.