ResearchAlum, AI Stock Analysis Platform Unveiled
Business Type Changed to Investment Advisory
AI Automated Trading Program Service Promoted
Domestic independent research firm ResearchAlum announced on the 20th that it will launch an artificial intelligence (AI) stock analysis platform called 'STOCK9330.'
The platform name 'STOCK9330' was chosen based on the regular stock trading hours from 9:00 AM to 3:30 PM. The platform was developed through collaboration between CEO Choi Seonghwan, who completed an MBA finance specialist course at New York University (NYU) Stern School of Business, and a machine learning PhD. It is expected to provide investors with optimized analytical tools and real-time information tailored to the AI era. The STOCK9330 program continuously evolves by operating automated trading programs using AI-analyzed rankings and chat data.
A 'ranking' feature was added to verify who the true experts in the stock market are through numbers. Users are evaluated based on investment performance, providing reliable information. Starting with analyst rankings, the plan is to expand to fund managers, independent research, Telegram and YouTube channels.
There is also a feature that allows users to share investment ideas in real time. Stocks mentioned in chat rooms can be managed as personal data, enabling users to showcase their analytical skills.
Choi Seonghwan, CEO of ResearchAlum, said, "After completing my studies in the United States for two years and returning, I aim to transform from independent research to an AI stock investment platform company," adding, "We will not miss hidden investment opportunities in the stock market."
ResearchAlum plans to change its business type from similar investment advisory services to investment advisory services and launch wrap account products through automated trading programs.
CEO Choi added, "ResearchAlum will continue to consider ways to introduce advanced financial systems and improve investor returns," and "Through STOCK9330, we will help investors predict market volatility and optimize their portfolios."
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