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The battery exhibition is about to open; how can we only watch the rebound of lithium prices?
Kept an eye on the market all day again; during the daytime, the market was too chaotic, but late at night, calming down to review makes things clearer. This article prepares four key news items for everyone, covering market hotspots and practical analysis methods. [Taoguba]
I. Late-night News Highlights
II. Focus on Hotspots
III. Quantitative Techniques
Information creates value; quantitative analysis reveals the truth. If you find stock trading difficult, it’s probably because you haven’t found the right main direction. Actually, stock trading isn’t that complicated—just find the right direction. That direction is: see the trend clearly through news, and understand the real situation behind price movements through big data analysis. After so many years of trading, I’ve always relied on xxxx quantitative data (shown below) to assist judgment. It perfectly combines big data with news, complementing each other, which is why I want to share it with everyone.
This stock in the chart fluctuates between continuous decline and continuous rise; just looking at the trend, it’s hard to hold, easily leading to selling at the bottom or getting caught in a trap.
4. Look at Figure 2:
The orange bars in this chart represent “institutional inventory” data, reflecting the activity level of institutional funds. The stock on the left is volatile, but the “institutional inventory” remains very active, indicating institutions are actively involved; the stock on the right appears to rebound and rise well, but the “institutional inventory” shows no movement, so the sustainability of the trend is limited.
5. I hope the small insights shared today inspire everyone. Next time, I will continue to organize key news and common issues in stock trading along with my solutions.
Finally, thank you for the platform’s support, and more thanks to all new and old followers.
Here, I want to make a statement: the news highlight series will be published daily on time. If you find it helpful or interesting, please like and follow. Your support motivates me to keep providing real-time news for everyone every day.
All the information above is collected and organized by me from the internet, for reference and discussion only. If any data or information involves infringement, please contact me for removal. I do not recommend any specific stocks, do not provide investment advice, 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 names mentioned are only used to distinguish different data, without any literal or broader implications, nor any intention to imply rise or fall.