Predictive Analysis of Bitcoin Prices Using Advanced Machine Learning Models

Abstract

The digital currency industry is seeing unprecedented growth this century, drawing traders, investors, and entrepreneurs from all around the globe. It will aid in documenting the routines and behaviours of such a profitable, demanding, and quickly growing industry by offering comparative studies and insights from the pricing data of cryptocurrency exchanges. In 2021, the bitcoin market will hit one of its all- time highs. New exchanges have increased the accessibility of cryptocurrencies, which has increased their appeal. As a result, not only has the interest in and usage of cryptocurrencies grown, but several reputable crypto enterprises have been launched by some of the pioneers. Companies such as Microsoft, Tesla, and Dell are jumping on the bandwagon for virtual currencies, which are becoming increasingly popular. With the proliferation of decentralized digital currencies, it is more important than ever to educate the public about these new assets so that they can make an informed decision about how to invest their money. Results demonstrate that, among the current research methods, soft computing and machine learning provide the most accurate predictions. Lastly, it is said that machine learning techniques such as ANN and SVMs may be employed to forecast changes in the global stock market. Machine learning, back-propagation, forecasting, artificial neural networks, stock markets, feed forward, root-mean-squared errors, and bitcoin forecasting are all related terms.