[blackcat] L4 MTF Zen Theory Synthesis

11 ago 2023

[EN]
This indicator came into a wonderful state of thinking by chance when I was reviewing the theory of entanglement recently, and magically made this indicator. I named it multi-period (MTF) entanglement theory synthesis. It sounds a bit complicated, maybe I have finished introducing this idea , you may find it more suitable.

In the process of learning Tanglun, Tanglun's pen, line segment, pen center, and line segment center are intricate. In fact, Tang's division is based on its classification thinking and the essence of multi-period analysis. Multi-period is a dimension. This kind of thinking The method is not very friendly to beginners and ordinary traders. We learn entanglement theory to make the trend look clearer, not to make ourselves more confused. How to reflect the multi-period trend strength and trend in one cycle is also what I have always wanted to do. Therefore, this multi-period entanglement theory synthesis is actually to observe at the smallest level cycle, and through modern digital signal processing The extraction algorithm realizes the synthesis of data of multiple high-level periods in a small period. This may be a bit difficult for many people to understand. For example, this is also a basic algorithm: four children clap their hands, and the first child claps once every second , the second child takes a shot every 2 seconds, and so on, four people start to shoot the first time at the same time... In this case, the four children are actually four levels, the first is the lowest, the fourth is the highest, and four people clap at the same time It shows that four people are synchronized, which is the same initial condition as TradingView time series synchronization. The child No. 1 with the lowest level clapps the fastest, so it contains the most abundant clapping information. In other words, as long as it is No. 2, 3, and 4 clapping , No. 1 will clap, that is to say, No. 1 itself contains all the information of No. 2, 3, and 4. If it is like extracting the clapping behavior of No. 2, 3, and 4 from No. 1's clapping, only the behavior of No. 1 A little constraint is enough: take a picture every N seconds. This is the theoretical basis of my index synthesis and multi-period theory.

With a theoretical basis, how to reflect the state of a cycle? This is a complicated problem, but if it is to be synthesized at a low level, a small cycle, and reflect the characteristics of a large cycle, it must be simplified. Otherwise, not only my brain is not enough, the TradingView server The limited computing resources on the terminal will also forcibly stop my program. Therefore, by observing the divergence information on the 4 cycles, scoring, extracting all the scores and synthesizing them on the minimum cycle, I will get what I said today Indicator [blackcat] L4 MTF Zen Theory Synthesis. Is it very interesting? The idea is like this, but I am still a little bit confused when I code it out and show it. How to use this?

Although I found some very good features of this indicator, it is not ideal after trying to do some buying and selling point algorithms, so I will not release it to the public for the time being. Interested friends can contact me to apply for internal testing and discuss how to use this indicator.

[CN]

这个指标是最近复习缠论时候偶然进入一种奇妙的思考状态, 神奇的把这个指标做了出来. 我命名它为多周期(MTF) 缠论合成. 听着有点复杂,也许我介绍完这个思路, 各位可能会觉得更加符合吧.

在学习缠论的过程中, 缠论笔, 线段, 笔中枢, 线段中枢错综复杂, 其实缠师这种划分是本着其分型思想, 以及多周期分析的本质. 多周期是个维度, 这种思考方式对于初学者和普通交易者不是很友好. 我们学缠论是为了使走势看起来更明朗，而不是让自己更懵逼。如何把多周期的趋势强度和走势在一个周期内体现出来也是我一直想做的事. 所以, 这个多周期缠论合成,其实就是在级别最小的周期进行观察, 并且通过现代数字信号处理中的抽取算法在小周期实现多个高级别周期的数据的合成. 这点对于很多人可能有点难以理解, 举个例子说, 这也是一个基本算法: 四个小朋友拍手, 第一个小朋友1秒拍一次, 第二个小朋友2秒拍一次, 以此类推, 四个人同时开始拍第一次… 这个情况下, 四个小朋友其实就是四个级别, 第一位最低, 第四位最高, 四个人同时拍手说明四人同步,这和TradingView时间序列同步是一样的初始条件.级别最低的1号小朋友拍手频率最快,所以其包含的拍手信息最丰富. 换句话说, 只要是2,3,4号拍手时, 1号都会拍手, 也就是说1号本身就包含了2,3,4号的所有信息. 如果像从1号拍手中提取2,3,4号拍手行为,只需要对1号的行为稍加约束即可: 隔N秒拍一次. 这就是我这个指标合成缠论多周期的理论基础.

有了理论基础,如何来体现个周期的状态呢? 这是个复杂的问题,但是要想合成在低级别, 小周期,体现大周期特性,必须简化. 否则,不仅我的脑子不够用, TradingView服务器端那有限的计算资源也会强行停止掉我的程序. 所以, 我通过观察4个周期上的背驰信息,进行打分, 把分数都抽取并在最小周期上进行合成就会得到今天说的这个指标[blackcat] L4 MTF Zen Theory Synthesis. 是不是挺有意思. 想法是这样, 但是码出来, 表现出来,我还是有点蒙, 这个怎么用呢?

尽管我发现了这个指标一些非常良好的特性,但是经过尝试做一些买卖点算法后并不理想,所以暂时不对外发布. 感兴趣的朋友可以联系我申请内部测试, 共同探讨如何使用这个指标.