Blockchain with Machine Learning for Financial Portfolio Management

Abstract

Portfolio management diversifies investment across multiple assets for increased return and reduced risks. In the decentralized world of Web3, financial management companies are increasingly investing in blockchain ledger systems for asset transactions. As a result, new models of portfolio trading are needed. The paper presents a prototype of a portfolio management system with a machine learning-enabled recommend subsystem. The proposed account role mechanism combines user-defined functions and automated asset management operations. The combination of blockchain and artificial intelligence enables smart portfolio management.