The process of building the investment portfolio in 2026 is quite different from previous years, mainly because I found it difficult to identify new stocks that meet my satisfaction in terms of win rate and odds, and are worth a large position from my circle of competence. In terms of results, the opening portfolio of 2026 doesn't seem to have changed much from the closing positions at the end of 2025.

Overall, as briefly mentioned earlier, considering the combined effects of the election year, the change of the Federal Reserve chairman, and the typical strong government cycle, I think the overall capital policy environment for U.S. stocks will be more optimistic than in 2025 (hopefully no misjudgment). On the Hong Kong stock side, new stocks keep draining liquidity. Overall, I allocate 7:3 to U.S. stocks and China concept stocks. From the trend of interest rate changes, it doesn't seem advisable, but in the medium to long term, I think the cost of interest rates is acceptable relative to absolute returns.

Specifically for U.S. stocks, gold, Bitcoin, financial innovation, oil and gas, etc., are still not my strengths. I might occasionally speculate on the sidelines, but they won't be included in the portfolio. XBI and LABU have rebounded enough, so I won't allocate them in 2026. Instead, I'll focus on AI.

1. $Alphabet(GOOGL.US) , $NVIDIA(NVDA.US)  , and $Taiwan Semiconductor(TSM.US)  are still the absolute main large positions. The market consensus is that Alphabet is leading overall but not cheap, NVIDIA is quite controversial, and TSMC's geopolitical risks are hard to handle. Personally, I think Google's recovery is complete, but there's still about 30% room for improvement. I think NVIDIA is at a low point. In fact, it's now a competition between two major alliances: Google vs. NVIDIA+OpenAI. My view is that they will repeatedly outperform each other and eventually both grow. TSMC is the most stable, with its newly expanded capacity and 2nm mass production ensuring enough growth. As for geopolitical risks, I don't consider them. If the risks materialize, I think other stocks within my circle of competence won't be safe either.

2. This year, AI undoubtedly needs to focus on application ROI and Agents. Overall, I favor 2B scenarios > 2C scenarios and predict the most successful AI coding scenario, where Anthropic's lead will shrink. Apart from big players, the certainty of new players in this part is still unclear. The experience of independent applications like Cursor and Manus under the encroachment of LLM models is quite thought-provoking, and I have many ideas to expand on later. In terms of allocation, this is where 2026 differs most from 2025, but the overall position isn't high because it still doesn't feel very clear. Specific names include Apple, PATH, FIGMA, and ServiceNow.