Is the implementation of electricity consumption coordination really just as simple as good news?

This week’s market has been volatile, with many details hidden in the news. I happen to have some free time over the weekend to clarify everything for everyone. This article prepares five key news items, covering policies, funds, individual stocks, and multiple dimensions. [Taoguba]

1. Weekend News Highlights

2. Four departments jointly issue top-level strategic document on computing power and electricity coordination

3. Net outflows of over 70 billion yuan from broad-based ETFs this week

4. Several “bullish散概念股” experienced short-term large fluctuations

5. Multiple ST stocks dropped over 30% in a single week

6. Quantitative perspective reveals the true state of current trading.
   II. Focus on Hot Topics

7. First is the policy on computing power and electricity coordination, which is not just a simple directional mention in recent documents issued jointly by four departments, but directly binds computing power and electricity into a closed-loop ecosystem. Previously, we talked about “East Data West Computing,” now it has been upgraded to a top-level national strategy. In plain terms, it aims to convert our electricity advantages directly into global competitiveness in the AI industry, with two clear medium- and long-term development milestones, and the development paths of related industries are clearly outlined.

8. Looking at the fund flow news, although the overall stock index has recently been strong, the combined net outflow of stocks and cross-border ETFs is close to 80 billion yuan, with broad-based ETFs accounting for the majority. However, sector-wise, there is clear differentiation: ETFs related to securities and satellites are being increased, while those related to chips and power grid equipment are being reduced. Several new ETFs covering power and AI sectors will be launched soon, so everyone can pay attention to future fund flows. A certain brokerage also mentioned that the market is likely to maintain a volatile upward trend, and investors should focus more on sub-sectors with strong earnings certainty.

9. Also, the highly关注的“牛散概念股”波动事件, some listed companies previously experienced large short-term gains and have recently seen significant corrections, with related companies issuing risk warnings. This also serves as a reminder: for stocks with excessive short-term gains, pay more attention to fundamentals, view market rumors rationally, and avoid blindly following the trend.

10. Lastly, regarding the ST sector, many ST stocks have recently fallen sharply, with several dropping over 30% in a week. One stock was warned of delisting risk due to a non-standard opinion issued on its financial report, with multiple consecutive limit-downs. When participating in related stocks, always check the company’s fundamentals first, and do not gamble blindly.
    III. Quantitative Techniques
    Information creates value; quantification reveals the truth. If stock trading feels difficult, it’s probably because you haven’t found the right big direction. In fact, trading isn’t that hard—just find the right direction. That direction is: see clearly through news to understand the trend, and use big data quantification to see the truth of rises and falls. Over the past few years, I have been using xxxx quantitative data (see the chart below), which has been very helpful to me personally. It perfectly combines big data with news, complementing each other, and I want to share this with everyone.

11. A common problem many friends face now is that during market fluctuations, they can’t hold onto stocks—they either sell too early or get trapped, not understanding the true intentions behind the funds.

12. The core reason for this problem is that everyone can only see the price movements, not the trading behaviors of different funds behind the scenes, making it easy to be misled by short-term volatility.

13. Look at Chart 1: the orange bars represent “institutional inventory” data, reflecting the activity level of institutional funds; the blue bars are “hot money movements,” indicating the participation of speculative funds; purple indicates both participating simultaneously. Often, stock price fluctuations are just a game between institutions and hot money. Understanding this logic helps prevent being scared off by short-term volatility.

14. Look at Chart 2: the blue bars show “short covering” behavior, meaning funds that previously shorted are re-entering the market. If “institutional inventory” also appears at this time, it indicates that institutions haven’t truly exited but are just adjusting their rhythm. Recognizing this signal allows for more rational judgment of the trend.

I hope the small insights shared today inspire everyone. In the next issue, I will continue to organize key news and common stock trading issues along with my solutions.
Finally, thank you for the platform’s support and all the new and old followers for your companionship.
Here, I want to say that I will update the news highlights series on time. If you find the content helpful, please like and follow. Your likes motivate me to work harder, daily organizing reliable news for everyone.
Disclaimer
All the information above is collected and organized by me from publicly available online sources, for reference and discussion only. If any content involves infringement, please contact me for removal. I do not recommend any specific stocks, do not guide any investment actions, have never set up paid groups, and do not engage in stock recommendation activities. Any investment interests or dealings in my name are scams; please stay alert and beware of fraud. All data and terms mentioned, such as “institutional震仓” and “hot money movements,” are only used to distinguish different data types and do not carry literal or extended meanings, nor do they imply any trend mapping.