@inproceedings{5f73263862f14611a8512c8a0e3558c4,
title = "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.",
keywords = "Account Role, Blockchain, Machine Learning, Portfolio Management, Smart Contract",
author = "Tianhong Cai and Jiawei Wu and Chenyang Yu and Vladimir Brusic",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 13th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2023 ; Conference date: 14-07-2023 Through 16-07-2023",
year = "2023",
doi = "10.1109/ICEIEC58029.2023.10201043",
language = "English",
series = "ICEIEC 2023 - Proceedings of 2023 IEEE 13th International Conference on Electronics Information and Emergency Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "255--259",
editor = "Li Wenzheng",
booktitle = "ICEIEC 2023 - Proceedings of 2023 IEEE 13th International Conference on Electronics Information and Emergency Communication",
address = "United States",
}