why invest in digital currency Knowledge

In fact, I am still very sure about today's market adjustment. But as you can see, no matter how weak the market is, there will be a powerful force to pull the index up instantly. The heavy meeting set the tone of "stabilizing the stock market and the property market", but today the news is warm again. Today, I really feel that "the market really can't fall", and the market may not fall in its current position.From the above figure, we can find that the previous downtrend band took 14 trading days. I still remember that at that time, we predicted the time window of the index low one trading week in advance. The theory used at that time was the time period of 13. From the high point to the low point, the 13th day will reach the Fibonacci time window. And of course, if it arrives tomorrow, there will be the 13th trading day from low to high, if it happens that there will be a stage high tomorrow. It is easy to become a small turning point in the stage. This is pure theoretical analysis.Statement of the work: Personal opinion, for reference only.

The short-term peak time node is likely to be tomorrow. Or the last trading day. Why do you say that? Please look at the chart below-the daily chart of the Shanghai Composite Index.Next, we use technical analysis to solve an important problem. When will the market meet the stage minimum? Where is the next pressure point of the market?

Let's stop here with everyone.In fact, I am still very sure about today's market adjustment. But as you can see, no matter how weak the market is, there will be a powerful force to pull the index up instantly. The heavy meeting set the tone of "stabilizing the stock market and the property market", but today the news is warm again. Today, I really feel that "the market really can't fall", and the market may not fall in its current position.The short-term peak time node is likely to be tomorrow. Or the last trading day. Why do you say that? Please look at the chart below-the daily chart of the Shanghai Composite Index.