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Small-cap style clearly outperforms."The market of technology stocks is supported by policies, and the policies frequently mention the self-reliance and self-improvement of science and technology, such as artificial intelligence industry, self-controllable, new energy technology, etc. This kind of concept plate is mainly the participation of hot money and new retail investors, focusing on themes and tracks. Long-term expectations are hard to be falsified in the short term. Industries such as artificial intelligence are indeed in a stage of rapid development. Once hot money has a money-making effect, retail investors are easy to chase after it and push the stock price up. " Zhao Xi told reporters.According to the statistics of the First Financial Reporter, the 100 stocks with the smallest closing market value on September 23 have almost doubled up to now. In the same period, the average increase of 66 stocks in the market value component was 19.2%, and the average increase of the fund's heavy stocks was 27.5%, which was far worse than that of small-cap stocks.

How to lay out the market when it comes? ETF can directly invest in the sector > >How to lay out the market when it comes? ETF can directly invest in the sector > >Looking further, humanoid robots and AI concept leading stocks, which are the hottest in the market recently, are almost taken over by small-cap stocks. The data shows that since September 23, the humanoid robot sector has risen by the top 30 stocks, with an average increase of about 114%. Before the market started, the average market value of 30 stocks was less than 4.1 billion yuan. In terms of individual stocks, Eft's total market value was less than 4 billion on September 23, and it has risen 3.5 times since then, and it is currently about 17.6 billion yuan. The total market value of Juneng shares rose from 770 million yuan to 2.6 billion yuan; Tuosida rose from about 4 billion market value to 16.4 billion yuan.

For the reason of the market style deduction, Zhao Xi, the investment director of Tuopai Fund, told the First Financial Reporter that since the macroeconomic data has not improved significantly, it is difficult for the macro economy to support the core assets, and most investors' sense of the whole economy is not high enough. Although the weighted blue chips and fund heavyweight stocks have valuation advantages, they lack rising logic. In this context, hot money and new retail investors have repeatedly speculated on the emerging science and technology around the policy.According to the research report released by SDIC Securities on December 8, if we want to treat this wave of "new year's market" with "innovation", it is necessary for the US dollar index to clearly turn from strong to weak and the fiscal expenditure to enter a clear expansion cycle. The pricing of risk preference turning to fundamentals may have to be further confirmed in the second quarter of next year (strong dollar turning to weak dollar+stimulus policy effectively reversing domestic demand). Looking back at history, after M1 rebounded from the bottom for two consecutive months, the market sector represented by consumption and pro-cyclical sectors will start pricing around fundamentals, which also means that if the growth rate of M1 continues to rebound in November, this extreme differentiation pricing model of large and small markets is expected to be gradually reversed."The market of technology stocks is supported by policies, and the policies frequently mention the self-reliance and self-improvement of science and technology, such as artificial intelligence industry, self-controllable, new energy technology, etc. This kind of concept plate is mainly the participation of hot money and new retail investors, focusing on themes and tracks. Long-term expectations are hard to be falsified in the short term. Industries such as artificial intelligence are indeed in a stage of rapid development. Once hot money has a money-making effect, retail investors are easy to chase after it and push the stock price up. " Zhao Xi told reporters.