US Midterm Elections Update: AI Computing Power Theme Surges, ChiNext Artificial Intelligence ETF Index Jumps 7%

Deep News11-04 14:45

On the afternoon of November 4, the AI sector suddenly surged. The underlying index of the ChiNext Artificial Intelligence ETF (159363), which focuses on leading optical module companies, rebounded from its lows and sharply climbed over 7%. Among hotspot stocks, Eoptolink Technology Inc Ltd (300502) rose more than 9%, while Zhongji Innolight Co Ltd (300308) and Suzhou TFC Optical Communication Co Ltd (300394) both gained over 7%.

On the news front, Democrats gained an advantage in the midterm elections. A US election data analysis firm released a forecast stating that Democrats are expected to regain control of the US Senate. Geopolitical risk premiums are expected to decline, and safe-haven capital is flowing back into risk assets. As a high-beta growth sector, AI is the first to benefit from sentiment recovery. Tech stocks are particularly sensitive to falling oil prices and easing interest rate pressure, with capital prioritizing the computing power theme that offers high earnings visibility.

CSC Financial noted that the valuation premium in the AI computing power chain has been significantly digested in earlier periods, and recommended focusing on earnings delivery. North American CSPs continue to increase investment in AI infrastructure. We remain bullish on both North American and domestic AI computing power industry chains in the long term, with a focus on high-speed optical interconnect, GPU/ASIC, and supporting infrastructure.

The ChiNext Artificial Intelligence ETF (159363) and its off-exchange feeder funds (Class A 023407, Class C 023408) focus on leading optical module CPO companies while also covering AI applications. The underlying index has a combined weight of over 35% in Zhongji Innolight, Eoptolink Technology, and Suzhou TFC Optical Communication, making it a core flagship for AI computing power.

Data source: Shenzhen and Shanghai Stock Exchanges, Wind, etc. Note: As of September 30, 2026, according to the China Securities Index, the top three constituents of the ChiNext Artificial Intelligence Index are Eoptolink Technology (12.98%), Zhongji Innolight (12.09%), and Suzhou TFC Optical Communication (10.8%). Reminder: Recent market volatility may be significant, and short-term gains or losses do not predict future performance. Investors should invest rationally based on their own financial conditions and risk tolerance, paying close attention to position and risk management.

ETF fee disclosure: When investors subscribe or redeem fund shares, the subscription and redemption agent may charge a commission of no more than 0.5%. On-exchange trading fees are subject to actual charges by the securities company, and no sales service fee is charged. Feeder fund fee disclosure: The Fortune SG ChiNext Artificial Intelligence ETF Initiating Feeder Fund Class C does not charge a subscription fee; the redemption fee is 1.5% within 7 days and 0% for 7 days or more; the sales service fee is 0.3%. The Fortune SG ChiNext Artificial Intelligence ETF Initiating Feeder Fund Class A subscription fee is 1% for amounts under 1 million yuan, 0.6% for amounts between 1 million yuan (inclusive) and 2 million yuan, and 1,000 yuan per transaction for amounts of 2 million yuan (inclusive) and above; the redemption fee is 1.5% within 7 days and 0% for 7 days or more; no sales service fee is charged. According to the fund manager's assessment, the risk levels of Fortune SG ChiNext Artificial Intelligence ETF, Fortune SG Hong Kong Stock Connect Information Technology ETF, and Fortune SG STAR Chip ETF are R4-Medium-High Risk, suitable for aggressive (C4) and above investors. Suitability matching opinions should be based on the sales institution's assessment.

Risk disclosure: Fortune SG ChiNext Artificial Intelligence ETF passively tracks the ChiNext Artificial Intelligence Index. The index base date is December 28, 2018, and the launch date is July 11, 2024. The index's annual returns from 2021 to 2025 were: 17.57%, -34.52%, 47.83%, 38.44%, and 106.35%, respectively. The annualized volatility over the same period was 23.73%, 27.34%, 38.02%, 45.42%, and 41.1%, respectively. The index constituent composition is adjusted in a timely manner according to the index compilation rules. Historical backtest performance does not predict future index performance. The index constituent stocks mentioned in this article are for display purposes only. Individual stock descriptions do not constitute any form of investment advice, nor do they represent the holdings or trading activities of any fund managed by the manager. Any information appearing in this article (including but not limited to individual stocks, comments, forecasts, charts, indicators, theories, and any form of expression) is for reference only, and investors are responsible for their own investment decisions. In addition, any views, analyses, and forecasts in this article do not constitute any form of investment advice to readers, and the author assumes no responsibility for any direct or indirect losses caused by the use of this content. Fund investment involves risks. Past performance of a fund does not guarantee future results. The performance of other funds managed by the fund manager does not constitute a guarantee of the fund's performance. Fund investment requires caution. MACD golden cross signals have formed, and these stocks are performing well!

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap
Leave a comment