An Investment Assistant Using Machine Learning Methods
Defense Date:
The aim of this work is to prepare an investment assistant to support speculative investing in the cryptocurrency market. The developed application provides information about people’ moods and estimates the prices of three cryptocurrencies: Bitcoin, Dogecoin and Ethereum based on social network traffic analysis. Evaluation of public opinion on selected virtual assets is carried out using sentiment analysis methods of posts published on the social network Reddit. Price prediction is made through a machine learning model based on historical market data and sentiment analysis results. The application presents an interactive report constisting of the actual and forecasted price of each cryptocurrency as well as information on social sentiment determined on the basis of the emotional nature of the analysed statements.