Robo-advisor AQUMON has launched an algorithm-driven fund selector platform, SmartFund, which was first adopted by Industrial and Commercial Bank of China (Asia) Limited (ICBC Asia) in Hong Kong and made available in late 2020.
SmartFund is a new generation big data analytics platform developed by AQUMON that utilises multi-factor algorithms-driven analysis to provide quality fund recommendations.
While the mutual fund market is surrounded by options and asymmetric information, SmartFund is able to resolve a series of fund distribution or sales problems.
SmartFund can also display historical data and provide forward-looking fund rankings in its clean and simple interface after multi-dimensional analyses of over 500 factors.
AQUMON said that investment consultants can access abundant and timely information to recommend high-potential mutual fund products.
Moreover, SmartFund is a SaaS-based platform which allows institutions to launch and update rapidly without developing their own applications or infrastructure.
“ICBC (Asia)’s forward-looking adoption of financial technology will revolutionise traditional wealth management, increasing sales efficiency and making investment more scientific, accurate and traceable, thereby boosting business performances.
Our SmartFund module is segregated from our flagship global asset allocation algorithm. Our aim is to increase the wealth management prowess of financial institutions incrementally through our algorithm as well as our brand-new and smooth UI/UX, “
said Kelvin Lei, co-founder of AQUMON.
The technology service provider, AQUMON, is a fintech company incubated at the Hong Kong University of Science and Technology in 2015.
After over five years of development, AQUMON has partnered with over 80 financial institutions in Hong Kong, Mainland China and overseas, ranging from banks, securities houses to asset management firms.
AQUMON’s key investors include Zheng He Capital, Lenovo Capital, Alibaba Entrepreneurs Fund, Affiliate of Bank of China International and Hong Kong University of Science and Technology.
Featured image credit: Edited from Unsplash
