Investors are closely watching the performance that Husung, which recently entered a stock price correction phase, will show in the market on Monday. Contrary to short-term market concerns, Husung is benefiting structurally across key industries including semiconductors, batteries, and refrigerants, raising expectations for a strong rebound that could break through previous all-time highs.

The recent decline in Husung's stock price is largely attributable to global macroeconomic variables. As the conflict between the United States and Iran has become prolonged, international oil and energy prices have surged, leading to concerns about resurgent inflation and the possibility of delayed interest rate cuts. Ultimately, volatility across global stock markets expanded, dampening investment sentiment in the domestic market, and Husung was unable to avoid a short-term stock price correction.

However, analyses suggest that investors should focus on Husung's solid fundamentals rather than the 'butterfly effect' of such geopolitical crises. The core drivers behind Husung's long-term revenue growth are based on three major hidden catalysts, the first of which is the trend toward higher stacking layers in semiconductor NAND memory.

With the rapid advancement of the AI industry, demand for high-stack NAND of 200 layers, 300 layers, or more has surged, leading to a structural increase in the use of specialty gases in the manufacturing process. This is evaluated as a permanent long-term revenue driver for Husung, transcending temporary external variables such as China's tungsten export controls.

Experts advise that rather than fixating on short-term target prices presented by securities firms, a long-term investment strategy based on future value and data is necessary. Given the clear structural upward trend of the downstream industries, the current stock price correction for Husung should not be viewed as a risk factor but rather as an opportunity to buy on dips.

[This article is for investment reference purposes only, and there is no liability for investment losses based on it. This publication bears no legal or financial responsibility. This is an AI-assisted article.]