Fundamentální analýza a hledání významných anomálii v historii kryptoměnových obchodů

Abstract

This bachelor thesis deals with the fundamental analysis of cryptocurrencies and the application of various methods and tools to predict the price development. The theoretical part examines and compares both traditional fundamental analysis metrics and metrics developed for the cryptocur- rency market, as well as tools and APIs provided by cryptocurrency exchanges or data aggregators. The practical part of the thesis focuses on the development of a comprehensive solution that in- tegrates these methods and tools for data collection, processing and presentation, with the aim of improving the accuracy of predictions. The thesis also identifies the potential for further extensions and improvements to the model, particularly through the integration of signals from social networks and macroeconomic factors, which could further enhance the analytical capabilities and usefulness of the forecasts.