VARA:=3*VAR88-2*SMA(VAR88， 15， 1)； Retail chip concentration: (10-var)* var 1 * 6, green color, line thickness 2; Institutional chip concentration: EMA (winner (c) * 70,3), line thickness 2, colored; Main chip: 10 * Winner (Close * 0.9) * 8, blue in color; Ten-day main chips: EMA (main chips, 10), line thickness 2, yellow color; VAR 100:=(CLOSE-MA(CLOSE，34))/MA(CLOSE，34)*( 10)； Increase or decrease strength: var 100 * 6, magenta color, line thickness 2; 70，colorgreen0，coloryellowX4:=EMA(C，6)； Slope 6: (x4-ref (x4, 1))/ref (x4, 1) * 100, line thickness 0; X5:=EMA(C， 12)； Slope 12: (X5-ref (X5, 1))/ref (X5, 1) * 100, line thickness 0; X6:=EMA(C， 18)； Slope 18: (X6-ref (X6, 1))/ref (X6, 1) * 100, line thickness 0;

1, the chip is the proportion change of the holding cost of the stock market investors, and the number of chips also indicates the degree to which investors can make profits.

2. Chip distribution is a sharp weapon to find medium and long-term bull stocks, which may not help short-term customers much. However, the application of chip distribution in the stock market will open up a new world of technical analysis. Chip analysis is cost analysis, which is based on the fixed circulation disk. No matter how the circulating chips are distributed in the disk, the cumulative amount must be equal to the total circulating disk.

3. Chip analysis theory is the basis of morphological analysis. Only by thoroughly mastering the chip analysis theory can we accurately analyze the morphology. We often hear the term "chip distribution".

This word was often used in the past, but it is more appropriate to use "chip structure". Chip analysis theory is based on the characteristics of chip flow, analyzing the historical trading situation of the market or individual stocks, obtaining its chip structure, and then predicting the future trend according to this chip structure. The natural law basis of chip analysis theory is the characteristics of chip flow.

5. The characteristics of chip flow are also the content of psychology. Simply put, it is the relationship between the selling ratio per unit time and the holding time and the profit-loss ratio.

6. This is a binary function. Because it is impossible to know the real daily selling quantity (due to the banker's knocking) or the operation of retail investors, it is impossible to give an accurate expression of this function. The greater the loss ratio, the longer the holding time and the greater the selling ratio; The smaller the loss ratio, the shorter the holding time and the smaller the selling ratio.

Probably a negative power relationship. In terms of profit, the selling ratio has nothing to do with the holding time, and the profit is 0%-20%. The selling ratio rises first and then falls, and after 20%, it has nothing to do with the profit rate. In other words, the selling ratio of profit chips is about a constant. On the whole, the selling ratio of profit chips is obviously higher than that of loss chips. The simple description of this law is "illness comes like a mountain, and illness goes like reeling." So I use "chip structure" instead of "chip distribution" because this structure includes both time distribution and space distribution.