Data Mining of Compound DeFi Project

Abstract

The set of services by Decentralized Finance (DeFi) and by traditional finance intersects. Loans are examples of the intersection. Data scientists have no access to the loan data of the traditional banking system due to trade secrecy and client privacy reasons. Also, banks’ operation is well regulated. Modern DeFi loan data is openly available in public blockchains the corresponding projects operate in. But the problem is to represent DeFi’s conveniently for analysis. At the same time, DeFis are unregulated. In the paper, we consider a decentralized Ethereum protocol to lend and borrow assets called Compound. We design a relational database, fill it with the project’s data, and provide statistical details. The results help overcome the entering threshold for further data analysis.