Lee Gyu-lee is a business writer at The Korea Times, focusing primarily on IT & telecommunications, the Ministry of Trade, Industry and Energy and KOTRA. Prior to this, she has covered a wide range of cultural news, from film, television and K-pop to lifestyle and fashion.
LG, LSEG launch AI-powered equity forecast service
Lee Hwa-young, head of AI business development at LG AI Research, speaks during a seminar at the British Embassy in Seoul, Tuesday, where the company introduced its AI-powered equity forecast score service. Courtesy of LG
By Lee Gyu-lee
LG and the London Stock Exchange Group (LSEG) have jointly developed an AI-powered equity forecast score service that applies large-scale financial data and advanced machine learning to deliver faster and more accurate market predictions and risk assessments.
The new service was created through a collaboration between LG AI Research and LSEG, combining LG’s AI technologies with LSEG’s extensive financial datasets to provide a next-generation tool for equity forecasting.
“LSEG is all about raw data, raw infrastructure and cloud-based solutions … and LG AI Research has a large amount of intellectual capital,” Arman Sahovic, LSEG head of front office solutions APAC, said during a seminar to introduce the service at the British Embassy in Seoul, Tuesday.
“So this partnership makes sense. It fundamentally combines the underlying data that we have with the modeling, AI techniques and EXAONE large language model that LG AI research brings forward.”
The AI-powered equity forecast score delivers investment insight through two essential outputs: a numerical score that predicts the expected return for a given asset over a four-week horizon and an AI-generated textual commentary that explains the reasoning and signals behind the forecast.
This dual approach offers not only a straightforward performance indicator but also a transparent and explainable context that investors and professionals can use to make decisions with greater confidence.
Unlike traditional models, EXAONE-BI’s deep learning combines mixed-frequency data and advanced ensemble techniques, and its coverage extends even to nano-cap stocks, a level of detail rarely seen in the industry.
By integrating both structured market data and unstructured financial documents, the system can analyze metrics, trends and regulatory filings to surface actionable insights. The commentary component, powered by LG’s deep document understanding, enables users to interpret forecast scores without technical expertise, supporting regulatory compliance and democratizing access to sophisticated analytics.
Arman Sahovic, the APAC head of LSEG's front office solutions, speaks during a seminar at the British Embassy in Seoul, Tuesday, introducing the company’s AI-powered equity forecast score service. Courtesy of LG
“(The service) is analyzing 5,000 companies every day. A few hundred securities analysts, for example, might publish reports on Fortune 500 companies once every three months. But doing it every day is impossible for humans,” Lee Hwa-young, LG AI Research lead of AI business transformation unit, said.
“And when an analyst evaluates a company, they rely on what they personally know, but modern society is full of complexity and uncertainty … AI, on the other hand, can accurately find patterns, see how those patterns connect across fields and measure correlations that are otherwise difficult for humans to perceive. It can scale infinitely and process massive data and output insights for humans to interpret when making decisions.”
The service is currently live with daily score updates and weekly commentary for thousands of U.S.-listed equities, and trials with institutional clients are already underway.
Lee noted the company is looking to expand the service beyond forecasting U.S. equities and industries to include fundamentals, portfolio structuring, commodities, and other aspects of the equity supply chain. The company also plans to launch similar predictive analytics for stocks listed on major exchanges in Korea, the United Kingdom and other global markets.