Cryptocurrencies have become increasingly popular in recent years, and therefore the cryptocurrency market has increased significantly and brought in new investors. Anonymity, deregulated nature and volatility of the market enable investors quicker entry and higher earnings in comparison with stock trading. Increased popularity has increased the demand for quality tools, which monitor these markets. The purpose of this thesis is the development of a real-time system for monitoring and visualizing the movement of cryptocurrency exchange rates, which acquires data using a web crawler and stores it in a database. The stored data can then have visualizations and analysis performed on. A web crawler is designed as a desktop console application in a .NET environment that acquires data from data sources and parses it into a suitable format. Elasticsearch is used for data storage and search. The display, analysis and real-time visualization of data are performed by Kibana.
|