Innopin Co., Ltd. Files Over 20 Patents Including Deep Learning-Based Stock Investment Algorithm

Innopin Co., Ltd. (Co-CEOs Seungyeop Lee and Sanghyun Son) announced that it has filed more than 20 patents, including algorithm patents utilizing deep learning.

Earlier this year, the company registered a patent with the Korean Intellectual Property Office for a computer programming algorithm that selects constituent stocks and derives stock price indices. Shortly after completing the patent registration for a survey-based robot article generation system, Innopin has filed a total of 16 algorithm and business model patents, including a trading style simulation system using deep learning, an AI stock trading automatic learning system, and a stock trading system linked with automotive navigation and infotainment, attracting significant attention.

Innopin Co., Ltd. is known as a company engaged in system software development and supply, led by CTO Hanul Kim, a KAIST Computer Science alumnus, and Director Juho Shin, who majored in Financial Engineering at KAIST. The company is reported to hold numerous patents besides the recent filings.

Currently, Innopin is developing and servicing the AI-based capital market platform ‘Tuuija Dalin’ (Master of Investment) and is known to provide B2B services to Kiwoom Securities, Hana Financial Investment, Korea Investment & Securities, and Mirae Asset Daewoo Securities.

Sanghyun Son, CEO of Innopin, stated, “Technologies such as trading style simulation using deep learning and stock price fluctuation distribution measurement using AutoEncoders are unique to Innopin and cannot be replicated by other companies. Through these patent filings, Innopin will showcase high-tech technologies in the capital market.”

Co-CEO Seungyeop Lee added, “There are not many excellent technology companies in the fintech sector focusing on capital markets in Korea, but Innopin is leading this market with technology. The various patent registrations and filings are the outcomes of these efforts.”