An analytical study of how Bitcoin market sentiment (Fear vs Greed Index) influences trading volume, leverage behavior, and profitability using historical data.
A project focused on analyzing and forecasting Bitcoin network transaction fees using data collected from a Bitcoin Core full node. The workflow includes automated data extraction (RPC), data processing, exploratory analysis, and evaluation of machine learning and time series models.