Make a self-adjustment: I will try my best to describe the trend in the first person in subsequent articles. The reason for this is completely beyond my own cognitive level. Personally, I did well, but I did badly. My personal quality has nothing to do with people and the environment except me.
Let me explain a few terms first. The first is "normal fluctuation state", which is not clearly defined. Mainly refers to a trend that continues to rise or fall in the form of "no generalized classification". For example, the recent fiery "Tianshan creature" does not have a generalized "dollar index" with continuous weekly decline. These trends are persistent extreme fluctuations. Among them, there is a new term "generalized classification", which was actually described in early Weibo (the early articles were kept secret, mainly because they were too lazy to change). Let's briefly summarize it! Generalized classification is developed on the basis of "narrow classification" of entanglement theory. That is, all trends are described as all composed of generalized classification. In other words, the only independent variable of all trends is generalized classification: f(K line) ~ generalized classification (B). So there will be no changes such as pen, line segment, center, retrogression, wave, etc. Of course, this is a necessary step to construct the price fluctuation function conveniently. Generalized classification is further derived based on the deformation of narrow classification formula by mathematical logic. Give the result directly: f(B)=aB+b/B+c, a, b and c are constant coefficients, and ab ≠ 0 is defined as the characteristic function of price fluctuation. For convenience (mainly combining the existing market software indicators), 0.6 18 or 1.6 18 is the above characteristic equation. Because let f(x)=x- 1/x+ 1=0. There is a premise to take this set of concrete solutions, that is, a/b is very close, and the physical characteristic represented is the degree of relaxation, which explains the "normal fluctuation state" at the beginning of the article. So this is also the reason why the golden section index will be used in subsequent articles.
Let's take Hudian Co., Ltd. 002463 as an example, and use the original works of entanglement geometry and entanglement theory algebra respectively to see what are the connections, advantages and disadvantages. Because at present, we can't see 5 minutes' data on Wenhua Finance Software, so we attach a screenshot of using Tongda letter software:
From the geometric diagram of entanglement theory, we can see that the trend of this section is A+A+B. Compared with A, B is obviously not backward (limited to 5-minute periodic observation), and it lags behind and rises, forming a new line segment;
Next, a screenshot of a 60-minute period is given: because the amount of K-line data in this section is really huge, it is drawn directly with line segments.
From the geometric theory, it can be seen that recursion is a+A+b on a larger level, in which section b can be accurately located by interval set;
After algebra, we can see that when the price falls below 1.0= 17.92 for the first time, we will buy. It should be pointed out that the prices of 1.0 can be given before the later trend appears, with screenshots attached.
? So what does this have to do with whether a trend ends with a central consolidation or two central trends?
To solve this problem, it is actually highly related to the first operation of a trend. For example, a narrow space is formed at the beginning, and the trend probability of forming two hubs a+A+b+B+c at the later stage is high. Sure, how small is this space? This is a vague concept. Subsequent articles will explain further.
Conclusion: As can be seen from the above, a trend has a great relationship with the space size of the first step. It can be said that the starting point determines the height. We can also see the advantages and disadvantages of geometry in actual combat. Advantages: give the trend a clear geometric structure; Disadvantages: You will miss some buying points. For example, buying something in a small cycle may not necessarily go backwards (originally called "from small to large"). Of course, after the algebra of entanglement theory, its geometry can include not only all kinds of retrogressive buying points, but also non-retrogressive buying points from small to large.