A stock analysis method and system based on order transaction volume

Abstract

The application discloses a stock analysis method based on order transaction volume, and steps include: 1) determining a first price and a second price, wherein the first price is a price which is more than 1h from real time and order transaction volume is more than 80 hands for the first time; 2) when the first price is higher than the second price, if the stock real-time price is between the first price and the second price, the first index is stable; 3) when the first price is lower than the second price, if the stock real-time price is between the first price and the second price, the first index is stable, and the trend of the stock is estimated to be stable; the technical scheme brings at least the following beneficial effects: the history data of transaction orders and the stock order information in a short period are used to estimate the trend of the stock, and the success rate of the stock prediction method and system for estimating the stock trend is high.

Description

Technical Field

[0001] This invention belongs to the field of stock prediction technology, specifically relating to a stock analysis method and system based on order volume. Background Technology

[0002] Stock analysis involves analyzing market behavior in the securities market to predict future price trends. Currently, stocks are predicted to follow long-term trends based on intrinsic value factors such as company annual reports, industry prospects, and macroeconomic conditions. However, financial data reflects information from a long period of time, leading to significant prediction biases. Qualitative judgments about the future are easily influenced by analysts' subjective biases, ignoring market sentiment. Short-term prices may deviate significantly from value, and market dynamics are constantly changing, making timely and targeted stock predictions impossible.

[0003] To address the existing problems, we propose a stock analysis method and system based on order volume.

[0004] The information disclosed in this background section is only for understanding the background technology of the inventive concept, and therefore may include information that does not constitute prior art. Summary of the Invention

[0005] The purpose of this invention is to provide a stock analysis method and system based on order volume to solve the problems mentioned in the background art.

[0006] On one hand, this disclosure provides an embodiment of a stock analysis method based on order volume, comprising the following steps:

[0007] 1) Determine the first price and the second price. The first price is the price at which the order trading volume is above 80 lots for the first time when the time to real-time exceeds 1 hour. The second price is the price at which the order trading volume is below 80 lots for the first time when the time to real-time exceeds 1 hour. The relationship between the real-time stock price and the first and second prices is the first indicator.

[0008] 2) When the first price is higher than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable and the estimated trend of the stock is stable; if the real-time stock price is not lower than the first price, the first indicator is positive and the estimated trend of the stock is upward; if the real-time stock price is not higher than the second price, the first indicator is negative and the estimated trend of the stock is downward.

[0009] 3) When the first price is lower than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable, and the estimated trend of the stock is stable; if the real-time stock price is not lower than the second price, the first indicator is positive, and the estimated trend of the stock is upward; if the real-time stock price is not higher than the first price, the first indicator is negative, and the estimated trend of the stock is downward.

[0010] As an optional implementation, a stock analysis method based on order volume includes the following steps:

[0011] 1) Determine the first order set, the second order set, and the third order set based on the stock data from the previous day. The method for determining the first order set, the second order set, and the third order set is as follows: count the order trading volume and the corresponding trading price, where 15% of the order trading volume is used as the first order set, 70% of the order trading volume is used as the second order set, and the remaining 15% of the order trading volume is used as the third order set. The trading prices in the first order set are the third price set, the trading prices in the second order set are the fourth price set, and the trading prices in the third order set are the fifth price set. The trading prices of the third price set, the fourth price set, and the fifth price set increase sequentially.

[0012] 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive, and the estimated stock trend is upward. When the real-time stock price is within the fourth price set, the second indicator is stable, and the estimated stock trend is stable. When the real-time stock price is within the fifth price set, the second indicator is negative, and the estimated stock trend is downward.

[0013] As an optional implementation method, the stock analysis method includes the following steps:

[0014] 1) Determine the first order set, the second order set, and the third order set. The method for determining the first order set, the second order set, and the third order set is as follows: count the order transaction volume and the corresponding transaction price, where 15% of the order transaction volume is used as the first order set, 70% of the order transaction volume is used as the second order set, and the remaining 15% of the order transaction volume is used as the third order set. The transaction prices in the first order set are used as the third price set, the transaction prices in the second order set are used as the fourth price set, and the transaction prices in the third order set are used as the fifth price set. The prices in the third price set, the fourth price set, and the fifth price set increase in that order.

[0015] 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive; when the real-time stock price is within the fourth price set, the second indicator is stable; and when the real-time stock price is within the fifth price set, the second indicator is negative.

[0016] As an optional implementation, when both the first indicator and the second indicator are positive, the stock trend is estimated to be upward; when both the first indicator and the second indicator are negative, the stock trend is estimated to be downward; when only one of the first indicator and the second indicator is stable, or only one of the first indicator and the second indicator is positive, or only one of the first indicator and the second indicator is negative, the stock trend is estimated to be stable.

[0017] As an optional implementation, the stock analysis method further includes: the relationship between the volume of buy orders and the volume of sell orders within 5 minutes to 1 hour is a third indicator; if the volume of buy orders exceeds the volume of sell orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive; if the volume of sell orders exceeds the volume of buy orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative; if the volume of sell orders exceeds the volume of buy orders by less than 20% within 5 minutes to 1 hour, or if the volume of buy orders exceeds the volume of sell orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable.

[0018] If two out of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two out of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two out of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two out of the first, second, and third indicators are stable, the stock trend is stable.

[0019] As an optional implementation, a stock analysis system based on order volume includes:

[0020] The data determination module is used to determine a first price and a second price. The first price is the transaction price when the current time is more than 1 hour away and the order transaction volume reaches or exceeds 80 for the first time. The second price is the transaction price when the current time is more than 1 hour away and the order transaction volume falls below 80 for the first time.

[0021] The first indicator analysis and output module is used to determine a first indicator based on the real-time stock price and the first price and the second price. When the first price is higher than the second price, if the real-time stock price is between the first price and the second price, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the first price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the first price, the first indicator is output as a negative first judgment. When the first price is lower than the second price, if the real-time stock price is between the first price and the second price, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the second price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the second price, the first indicator is output as a negative first judgment.

[0022] The order set partitioning module determines the first order set, the second order set, and the third order set based on stock transaction data for a preset historical time period.

[0023] The second indicator generation module is used to determine the second indicator based on the real-time stock price and the third price set, the fourth price set, and the fifth price set.

[0024] The second indicator analysis and output module outputs a positive second judgment when the real-time stock price is within the third price set; a stable second judgment when the real-time stock price is within the fourth price set; and a negative second judgment when the real-time stock price is within the fifth price set.

[0025] The third indicator generation module is used to determine the third indicator based on the relationship between the number of purchase orders and the number of sales orders within 5 minutes to 1 hour.

[0026] The third indicator analysis and output module indicates that if the number of purchase orders exceeds the number of sold orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive; if the number of sold orders exceeds the number of purchase orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative; if the number of sold orders exceeds the number of purchase orders by less than 20% within 5 minutes to 1 hour, or if the number of purchase orders exceeds the number of sold orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable.

[0027] If two of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two of the first, second, and third indicators are stable, the stock trend is stable.

[0028] As an optional implementation, the order set partitioning module partitions orders as follows: The transaction volume and corresponding transaction price of all orders within the time period are statistically analyzed. Orders are sorted by transaction volume from smallest to largest, and the top 15% of orders by cumulative percentage are partitioned into the first order set, the middle 70% into the second order set, and the bottom 15% into the third order set. The transaction prices corresponding to the first order set constitute the third price set, the transaction prices corresponding to the second order set constitute the fourth price set, and the transaction prices corresponding to the third order set constitute the fifth price set. The price ranges in the third, fourth, and fifth price sets increase sequentially.

[0029] This application provides a stock analysis method based on order volume. The technical solution provided by the embodiments of this application has at least the following beneficial effects: it uses historical data of traded orders and short-term stock order information to estimate the stock trend, and the stock prediction method and system have a high success rate in estimating the stock trend.

[0030] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Detailed Implementation

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Example 1:

[0033] A stock analysis method based on order volume. The steps of the stock analysis method include:

[0034] 1) Determine the first price and the second price. The first price is the price at which the order volume first exceeds 80 lots when the time to real-time exceeds 1 hour. The second price is the price at which the order volume first falls below 80 lots when the time to real-time exceeds 1 hour. The relationship between the real-time stock price and the first and second prices is the first indicator.

[0035] 2) When the first price is higher than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable and the estimated trend of the stock is stable; if the real-time stock price is not lower than the first price, the first indicator is positive and the estimated trend of the stock is upward; if the real-time stock price is not higher than the second price, the first indicator is negative and the estimated trend of the stock is downward.

[0036] 3) When the first price is lower than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable, and the estimated trend of the stock is stable; if the real-time stock price is not lower than the second price, the first indicator is positive, and the estimated trend of the stock is upward; if the real-time stock price is not higher than the first price, the first indicator is negative, and the estimated trend of the stock is downward.

[0037] Example 2:

[0038] A stock analysis method based on order volume includes the following steps:

[0039] 1) Determine the first order set, the second order set, and the third order set based on the stock data from the previous day. The method for determining the first order set, the second order set, and the third order set is as follows: count the order trading volume and the corresponding trading price, where 15% of the order trading volume is used as the first order set, 70% of the order trading volume is used as the second order set, and the remaining 15% of the order trading volume is used as the third order set. The trading prices in the first order set are the third price set, the trading prices in the second order set are the fourth price set, and the trading prices in the third order set are the fifth price set. The trading prices of the third price set, the fourth price set, and the fifth price set increase sequentially.

[0040] 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive, and the estimated stock trend is upward. When the real-time stock price is within the fourth price set, the second indicator is stable, and the estimated stock trend is stable. When the real-time stock price is within the fifth price set, the second indicator is negative, and the estimated stock trend is downward.

[0041] Example 3:

[0042] 1) Determine the first order set, the second order set, and the third order set. The method for determining the first order set, the second order set, and the third order set is as follows: count the order transaction volume and the corresponding transaction price, where 15% of the order transaction volume is used as the first order set, 70% of the order transaction volume is used as the second order set, and the remaining 15% of the order transaction volume is used as the third order set. The transaction prices in the first order set are used as the third price set, the transaction prices in the second order set are used as the fourth price set, and the transaction prices in the third order set are used as the fifth price set. The prices in the third price set, the fourth price set, and the fifth price set increase in that order.

[0043] 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive; when the real-time stock price is within the fourth price set, the second indicator is stable; and when the real-time stock price is within the fifth price set, the second indicator is negative.

[0044] 3) When both the first and second indicators are positive, the stock trend is estimated to be upward; when both the first and second indicators are negative, the stock trend is estimated to be downward; when only one of the first and second indicators is stable, or only one of the first and second indicators is positive, or only one of the first and second indicators is negative, the stock trend is estimated to be stable.

[0045] Example 4:

[0046] 1) Determine the first order set, the second order set, and the third order set. The method for determining the first order set, the second order set, and the third order set is as follows: count the order transaction volume and the corresponding transaction price, where 15% of the order transaction volume is used as the first order set, 70% of the order transaction volume is used as the second order set, and the remaining 15% of the order transaction volume is used as the third order set. The transaction prices in the first order set are used as the third price set, the transaction prices in the second order set are used as the fourth price set, and the transaction prices in the third order set are used as the fifth price set. The prices in the third price set, the fourth price set, and the fifth price set increase in that order.

[0047] 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive; when the real-time stock price is within the fourth price set, the second indicator is stable; and when the real-time stock price is within the fifth price set, the second indicator is negative.

[0048] 3) When both the first and second indicators are positive, the stock trend is estimated to be upward; when both the first and second indicators are negative, the stock trend is estimated to be downward; when only one of the first and second indicators is stable, or only one of the first and second indicators is positive, or only one of the first and second indicators is negative, the stock trend is estimated to be stable.

[0049] 4) Determine the third indicator by the relationship between the number of purchase orders and the number of sold orders within 5 minutes to 1 hour. If the number of purchase orders exceeds the number of sold orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive. If the number of sold orders exceeds the number of purchase orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative. If the number of sold orders exceeds the number of purchase orders by less than 20% within 5 minutes to 1 hour, or if the number of purchase orders exceeds the number of sold orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable.

[0050] If two out of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two out of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two out of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two out of the first, second, and third indicators are stable, the stock trend is stable.

[0051] Example 5:

[0052] A stock analysis system based on order volume includes:

[0053] The data determination module is used to determine a first price and a second price. The first price is the transaction price when the current time is more than 1 hour away and the order transaction volume reaches or exceeds 80 for the first time. The second price is the transaction price when the current time is more than 1 hour away and the order transaction volume falls below 80 for the first time.

[0054] The first indicator analysis and output module is used to determine a first indicator based on the real-time stock price and the first and second prices. When the first price is higher than the second price, if the real-time stock price is between the first and second prices, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the first price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the first price, the first indicator is output as a negative first judgment. When the first price is lower than the second price, if the real-time stock price is between the first and second prices, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the second price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the second price, the first indicator is output as a negative first judgment.

[0055] The order set partitioning module determines a first order set, a second order set, and a third order set based on stock transaction data for a preset historical time period. The partitioning method of the order set partitioning module is as follows: statistically analyze the transaction volume and corresponding transaction price of all orders within the time period, sort them by transaction volume from smallest to largest, and divide the orders with the highest cumulative percentage into the first order set, the orders with the middle 70% cumulative percentage into the second order set, and the orders with the lowest cumulative percentage into the third order set. The transaction prices corresponding to the first order set constitute the third price set, the transaction prices corresponding to the second order set constitute the fourth price set, and the transaction prices corresponding to the third order set constitute the fifth price set, with the price range in the third, fourth, and fifth price sets increasing sequentially.

[0056] The second indicator generation module is used to determine the second indicator based on the real-time stock price and the third, fourth, and fifth price sets.

[0057] The second indicator analysis and output module outputs a positive second judgment when the real-time stock price is within the third price set; a stable second judgment when the real-time stock price is within the fourth price set; and a negative second judgment when the real-time stock price is within the fifth price set.

[0058] The third indicator generation module is used to determine the third indicator based on the relationship between the number of purchase orders and the number of sold orders within 5 minutes to 1 hour.

[0059] The third indicator analysis and output module indicates that if the number of purchase orders exceeds the number of sold orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive; if the number of sold orders exceeds the number of purchase orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative; if the number of sold orders exceeds the number of purchase orders by less than 20% within 5 minutes to 1 hour, or if the number of purchase orders exceeds the number of sold orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable.

[0060] If two of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two of the first, second, and third indicators are stable, the stock trend is stable.

[0061] Although embodiments of the invention have been shown and described (see the detailed description above), it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A stock analysis method based on order volume, characterized in that, The stock analysis method includes the following steps: 1) Determine the first price and the second price. The first price is the price at which the order trading volume is above 80 lots for the first time when the time to real-time exceeds 1 hour. The second price is the price at which the order trading volume is below 80 lots for the first time when the time to real-time exceeds 1 hour. The relationship between the real-time stock price and the first and second prices is the first indicator. 2) When the first price is higher than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable and the estimated trend of the stock is stable; if the real-time stock price is not lower than the first price, the first indicator is positive and the estimated trend of the stock is upward; if the real-time stock price is not higher than the second price, the first indicator is negative and the estimated trend of the stock is downward. 3) When the first price is lower than the second price, if the real-time stock price is between the first price and the second price, the first indicator is stable, and the estimated trend of the stock is stable; if the real-time stock price is not lower than the second price, the first indicator is positive, and the estimated trend of the stock is upward; if the real-time stock price is not higher than the first price, the first indicator is negative, and the estimated trend of the stock is downward.

2. A stock analysis method based on order volume, characterized in that, The stock analysis method includes the following steps: 1) Determine the first order set, the second order set, and the third order set based on the stock data from the previous day. The method for determining the first order set, the second order set, and the third order set is as follows: count the order trading volume and the corresponding trading price, where 15% of the order trading volume is used as the first order set, 70% of the order trading volume is used as the second order set, and the remaining 15% of the order trading volume is used as the third order set. The trading prices in the first order set are the third price set, the trading prices in the second order set are the fourth price set, and the trading prices in the third order set are the fifth price set. The trading prices of the third price set, the fourth price set, and the fifth price set increase sequentially. 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive, and the estimated stock trend is upward. When the real-time stock price is within the fourth price set, the second indicator is stable, and the estimated stock trend is stable. When the real-time stock price is within the fifth price set, the second indicator is negative, and the estimated stock trend is downward.

3. The stock analysis method based on order volume according to claim 1, characterized in that, Stock analysis methods include the following steps: 1) Determine the first order set, the second order set, and the third order set. The method for determining the first order set, the second order set, and the third order set is as follows: count the order transaction volume and the corresponding transaction price, where 15% of the order transaction volume is used as the first order set, 70% of the order transaction volume is used as the second order set, and the remaining 15% of the order transaction volume is used as the third order set. The transaction prices in the first order set are used as the third price set, the transaction prices in the second order set are used as the fourth price set, and the transaction prices in the third order set are used as the fifth price set. The prices in the third price set, the fourth price set, and the fifth price set increase in that order. 2) The relationship between the real-time stock price and the third, fourth, and fifth price sets is the second indicator. When the real-time stock price is within the third price set, the second indicator is positive; when the real-time stock price is within the fourth price set, the second indicator is stable; and when the real-time stock price is within the fifth price set, the second indicator is negative.

4. The stock analysis method based on order volume according to claim 3, characterized in that: When both the first and second indicators are positive, the stock trend is estimated to be upward; when both the first and second indicators are negative, the stock trend is estimated to be downward; when only one of the first and second indicators is stable, or only one of the first and second indicators is positive, or only one of the first and second indicators is negative, the stock trend is estimated to be stable.

5. The stock analysis method based on order volume according to claim 3, characterized in that, The stock analysis method also includes the following steps: the relationship between the volume of buy orders and the volume of sell orders within 5 minutes to 1 hour is the third indicator. If the volume of buy orders exceeds the volume of sell orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive; if the volume of sell orders exceeds the volume of buy orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative; if the volume of sell orders exceeds the volume of buy orders by less than 20% within 5 minutes to 1 hour, or if the volume of buy orders exceeds the volume of sell orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable. If two out of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two out of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two out of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two out of the first, second, and third indicators are stable, the stock trend is stable.

6. A stock analysis system based on order volume, characterized in that, The system includes: The data determination module is used to determine a first price and a second price. The first price is the transaction price when the current time is more than 1 hour away and the order transaction volume reaches or exceeds 80 for the first time. The second price is the transaction price when the current time is more than 1 hour away and the order transaction volume falls below 80 for the first time. The first indicator analysis and output module is used to determine a first indicator based on the real-time stock price and the first price and the second price. When the first price is higher than the second price, if the real-time stock price is between the first price and the second price, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the first price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the first price, the first indicator is output as a negative first judgment. When the first price is lower than the second price, if the real-time stock price is between the first price and the second price, the first indicator is output as a stable first judgment; if the real-time stock price is not lower than the second price, the first indicator is output as a positive first judgment; if the real-time stock price is lower than the second price, the first indicator is output as a negative first judgment. The order set partitioning module determines the first order set, the second order set, and the third order set based on stock transaction data for a preset historical time period. The second indicator generation module is used to determine the second indicator based on the real-time stock price and the third price set, the fourth price set, and the fifth price set. The second indicator analysis and output module outputs a positive second judgment when the real-time stock price is within the third price set; a stable second judgment when the real-time stock price is within the fourth price set; and a negative second judgment when the real-time stock price is within the fifth price set. The third indicator generation module is used to determine the third indicator based on the relationship between the number of purchase orders and the number of sales orders within 5 minutes to 1 hour. The third indicator analysis and output module indicates that if the number of purchase orders exceeds the number of sold orders by at least 20% within 5 minutes to 1 hour, the third indicator is positive; if the number of sold orders exceeds the number of purchase orders by at least 20% within 5 minutes to 1 hour, the third indicator is negative; if the number of sold orders exceeds the number of purchase orders by less than 20% within 5 minutes to 1 hour, or if the number of purchase orders exceeds the number of sold orders by less than 20% within 5 minutes to 1 hour, the third indicator is stable. If two of the first, second, and third indicators are positive and one is stable, the stock trend is upward; if two of the first, second, and third indicators are positive and one is negative, the stock trend is stable; if two of the first, second, and third indicators are negative and one is positive, the stock trend is stable; if two of the first, second, and third indicators are stable, the stock trend is stable.

7. The stock analysis system based on order volume according to claim 6, characterized in that, The order set partitioning module uses the following method: Statistically analyze the transaction volume and corresponding transaction price of all orders within the specified time period. Sort the orders by transaction volume from smallest to largest, and group the top 15% of orders by cumulative percentage into the first order set, the middle 70% into the second order set, and the bottom 15% into the third order set. The transaction prices corresponding to the first order set constitute the third price set, the transaction prices corresponding to the second order set constitute the fourth price set, and the transaction prices corresponding to the third order set constitute the fifth price set. The price ranges in the third, fourth, and fifth price sets increase sequentially.