Operating environment: flush App 10.40. 10.
What is the "historical switching attenuation coefficient"?
Cost algorithm
The daily cost algorithm is a moving average process, and the formula is: today's cost * (turnover rate * historical transaction attenuation coefficient)+the cost distribution map of the previous day *( 1- turnover rate * historical transaction attenuation coefficient).
Average distribution: the number of securities changing hands on that day is evenly distributed between the highest price and the lowest price on that day.
Triangular distribution: the number of securities changing hands on that day is in a triangular distribution between the highest price, the lowest price and the average price on that day.
Attenuation coefficient of historical turnover: indicates the decline rate of historical turnover, and how many times of today's turnover rate is removed from yesterday's cost distribution to get today's cost distribution map. When there is no circulation data, how many days of volume accumulation is used, and when there is no circulation data, how many days of volume accumulation is used instead.
How to judge whether chips are concentrated or scattered is mainly judged by the following methods:
Judging from the length of the bottom period. For stocks with obvious bottom cycle, the author's experience is that the banker's position can be roughly estimated by multiplying the daily turnover in the bottom cycle by the bottom running time. Banker position = bottom cycle × active buying (ignoring retail buying). The longer the bottom cycle, the bigger the dealer's position; The larger the active buying volume, the more the dealers will absorb the goods. Therefore, if investors see the long-term sideways consolidation of stocks at the bottom, they usually silently absorb funds. In order to reduce the cost of buying, the main force constantly cleans short-term customers by throwing high and sucking low; But there is still a small amount of money involved. So during this period, the main force sucked the goods. At most, it only reaches about 1/3- 1/2 of the total transaction volume. Therefore, the active buying amount that ignores the buying amount of retail investors can be settled as total trading volume × 1/3 or total trading volume × 1/2. For example, there is a 50 million mid-cap stock that has entered sideways after a long-term decline. Recently, there has been a phenomenon of active trading. After analyzing the trend chart, it is determined that the lowest price in the previous period is the starting date of the main financing. From this starting date to the 250-day moving average, there have been 90 trading days, with a cumulative trading volume of 55 million shares and an active buying volume of about17 million or 27 million shares. Then we can estimate that the main financing amount in this period is17-27 million shares.