Analysis of cryptocurrency price changes with big data tools

Throughout history, one of the biggest problems of most people has been the inadequacy of their income. Nowadays, people are making trading on different exchanges to generate more revenue. Cryptocurrencies is one of the commodities used for trading transactions. Basic and technical analysis methods are used in the determination of trading strategies in stock exchanges. Technical analysis can be explained by examining past price movements and trying to predict future price changes. While determining the trading strategies with technical analysis, very large data are encountered. This situation makes it difficult to analyze the data and increases the likelihood of incorrect strategies. People who are unable to analyze these big data correctly may face huge losses from cryptocurrency investments. Due to the recent emergence of cryptocurrencies, there is not much study on the analysis of changes in cryptocurrency prices. In this study, data of the 3 cryptocurrencies with the largest market value are used. These cryptocurrencies are Bitcoin, Ethereum and Xrp. For the analysis of price changes of these cryptocurrencies, K Nearest Neighbors (KNN), Support Vector Regression (SVR) and Random Forest (RF) algorithms were used. As a result of the study, the estimated data is compared with the actual data. As a result of the comparison, it was seen that the Support Vector Regression gave the most successful result in all data sets.