Markets focused on the United States have not captured all pockets of opportunity. In South Korea, a handful of selected equities produced notably strong returns from the start of 2025 and into March, even as the broader KOSPI slipped amid regional geopolitical concerns that threatened energy supplies.
One particularly strong riser among these picks was DN Automotive Corp (KS:007340), a South Korea-based manufacturer of automotive anti-vibration systems (VMS), rubber components, and batteries. The stock climbed 51.65% during March alone, making it one of the month’s highest-performing individual names.
To illustrate the scale of the move: a hypothetical investment of $10,000 at the start of March in DN Automotive would have grown to approximately $15,160 by the end of the month, representing roughly $5,160 in nominal gains in a matter of weeks.
DN Automotive was not the only standout among the model’s Korean selections. Across 2026, the AI-driven list included several other high-return names while they were on the picks list, including:
- Hana Materials Inc (KQ:166090): +55.2% while on the list.
- Harim Holdings Co. (KQ:003380): +101.7% while on the list.
- DB HiTek (KS:000990): +79.9% while on the list.
- Chabiotech Co Ltd (KQ:085660): +33.47% while on the list.
Those returns reflect the performance of individual securities while they were included in the AI-composed list of Korean stocks.
According to the model’s composite results, the AI-picked basket of Korean equities outpaced the KOSPI by more than 10% in March alone. Over the longer timeline since the strategy’s January 2025 inception, the composed list is reported to have returned 128.53%.
The selection method combines a large set of quantitative models: more than 150 investor-grade financial models are compiled by the machine learning framework using over 15 years of global financial data. Each month the system refreshes its strategies and may add, retain, or remove up to 20 stock picks based on reassessed medium-term growth potential.
For transparency in performance tracking, each strategy applies equal weighting across all selected stocks, establishing a consistent benchmark for evaluating how the model identifies opportunities. The process emphasizes that stock picking remains probabilistic, and that identifying winners must be paired with the discipline to exit positions that no longer meet the model’s criteria.
Subscribers who receive the AI-driven stock selections reportedly pay less than $9 per month for access to the list and its associated performance tracking. The product refreshes regularly and covers multiple sectors that the model monitors, such as technology, cybersecurity, and digital infrastructure. A new list of AI-selected Korean stocks was scheduled to be released in fewer than seven days from the time the results were shared.
The methodology supporting the model includes monthly re-evaluations of up to 20 names per strategy and draws on a broad set of valuation and financial models. For individual valuation checks, a separate Fair Value calculator cited within the materials uses a blend of 17 established industry valuation models to produce bottom-line estimates for specific tickers, including 000990.
While the reported track record highlights several success stories, the materials reiterate that stock picking is not a certainty. Performance is monitored via the equal-weight benchmark, and the model’s historical returns reflect results since the January 2025 launch of the Korean picks.
Readers should note that prices referenced in these performance summaries were accurate at the time they were recorded.