Tech Stocks Face Correction Pressure, Energy Sector Strengthens on Oil Price Hike

March 6, 2026
Sector Analysis
Star Biz

Malaysian tech stocks generally declined today, facing valuation adjustment pressure. Meanwhile, the energy sector performed strongly, boosted by rising international oil prices, with Brent crude surpassing US$85 per barrel. Investors are shifting from growth to value stocks amidst global economic shifts.

Bursa Malaysia's market today showed sector divergence. The Technology Index fell 1.8%, mainly impacted by global tech stock corrections and investor concerns over high valuations. For instance, Inari Amertron dropped 2.5% to RM3.20. However, the energy sector moved against the trend, with the Energy Index rising 1.1%. Brent crude oil prices surpassed US$85 per barrel, boosting related stocks such as Dialog Group, which rose 1.8% to RM2.30, and Velesto Energy, up 2.0% to RM0.255. Analysts believe that in an environment of rising inflation pressure and interest rate expectations, funds are shifting from high-growth tech stocks to value and commodity-related sectors.
Share:
Sunlight Capital
SUNLIGHTCapital Group

SunLight General Capital is a comprehensive investment company headquartered in New York, USA, founded in 2009. Core business includes solar facility development, financing, acquisition and operations, as well as AI-driven Malaysian stock market research and institutional education.

AI-Powered Investment Platform
New York Headquarters
1 World Trade Center, Suite 8500, New York, NY 10007, USA
Singapore Office
80 Raffles Place, No. 18-01 UOB Plaza 1 Singapore 048624
+1 (212) 286-1801
SunlightCapital8.com

Business Areas

  • Solar Project Development
  • Asset Acquisition & Operations
  • AI Investment Program
  • Institutional Investment Education
550+
Solar Facilities
99.9%
AI Stability

© 2026 SunLight General Capital. All rights reserved.

The content of this website is for reference only and does not constitute investment advice. Investment involves risks, investors should make decisions carefully based on their own circumstances. Past performance of AI programs does not guarantee future results.