A Short Survey on Bitcoin Price Prediction

Bitcoin and other cryptocurrencies have emerged as decentralized digital payment systems driven solely by blockchain technology and supply and demand dynamics. Predicting their prices has become a significant field of research with important implications in automated trading. This study conducts a Systematic Literature Review (SLR) to identify the most common features and models used in recent works for Bitcoin price prediction. By employing an ad hoc method to automate the survey procedure, a summary table is constructed to extract pertinent information. The objective is to discern the performance of various features and models across different data ranges and resolutions, laying the groundwork for developing an effective automated trading system. By synthesizing findings from the literature, this study aims to provide insights into the state-of-the-art methodologies for cryptocurrency price prediction, facilitating informed decision-making for market agents.