TW201301185A - Stocks analysis method, computer readable storage medium and computer program product - Google Patents

Abstract

The present invention discloses a stocks analysis method, a computer readable storage medium and a computer program product. The stocks analysis method uses a computer system to execute the following steps: acquiring business data of plural unit times for plural companies of a specific industrial type to be analyzed; and using the computer system to analyze the business data of plural unit times. The computer system compares the business data of each unit time (which may be a month, a season or a year) for each company of a specific industrial type to be analyzed, so as to analytically determine plural feature values. Further, the computer system integrally calculates the total number of the feature values so as to produce a chart or a data analysis table, wherein the chart or data analysis table should include the analysis curve for the business data of at least one unit time. Accordingly, users can determine whether to buy or sell stocks through chart analysis or data table analysis.

Description

Stock analysis method, computer readable storage media and computer program products

The invention relates to an analysis method, in particular to an analysis method, a computer readable storage medium and a computer program product, in particular to an analysis method suitable for stocks, a computer readable storage medium and a computer program product.

In the modern world where the price index is rising, many people earn a fixed monthly salary in addition to going to work, often earning extra salary through various other forms to increase their income. For example, some people design blogs or web pages on the web and place multiple auction items on blogs or web pages.

In addition, some people will increase their income through investment. The way to invest is to invest in the stock market. The investors decide to invest in one or more companies through various news or analysis. However, one company In the long run, whether investors can make stable profits should be based on their fundamentals. Although companies in the stock market will publish their own business information for a certain unit of time (which can be monthly or quarterly or yearly), it is not effective. The method or method of analyzing these business materials.

In view of this, the object of the present invention is to provide a stock analysis method, a computer readable storage medium and a computer program product, so as to reduce the time for an investor to statistically analyze the business data of a certain unit time of the company.

The reason is that, in order to achieve the above object, the stock analysis method according to the present invention uses a computer system to perform the following steps: capturing business data of a plurality of unit time (such as month or quarter or year) of a plurality of companies of the industry type to be analyzed. And analyzing the business data of the unit time through the computer system, wherein the computer system compares the business data of each unit time of each company to analyze the characteristic value, and the computer system is the total number of characteristic values to make the data, the data It can be in the form of a chart or a data analysis table containing at least one unit of time for business growth decline analysis. The database is, for example, a plurality of business hours of a plurality of companies, and in the steps of extracting business data of certain units of the company, and including the unit time from the database at intervals. The steps of the business information.

In addition, in the stock analysis method of the present invention, the computer system may be a cloud system, and after the step of analyzing the business data of the unit time in the cloud system, the computer system further includes another computer system to extract a chart or data analysis from the cloud system. The steps of the table, in other words, another computer system is used, for example, for the user terminal, and the user only needs to have a computer system with Internet access function to download the chart or data analysis table to be viewed through the network.

Further, in the stock analysis method of the present invention, the computer system compares the business data of each unit time of a plurality of companies of the industry type to be analyzed to analyze a characteristic value, and the computer system aggregates the number of the characteristic values. For example, the characteristic value represents the comparison between the business data of each company in the current period and the business data of the previous period of the company in the current period, which means that the company of the industry type to be analyzed is in the present The unit time of the period is compared with the unit time of the previous period, so it can show a positive or negative business growth trend. When the computer system compares all the companies of the industry type to be analyzed, the unit can be obtained. Time-based business growth decline analysis data, in which the number of the eigenvalues can be used as the axis of the chart or the dependent variable of the data analysis table. Taking the current unit time as the other axis of the graph or as the independent variable of the data analysis table, it can be known that all the companies of the industry type to be analyzed have a positive growth trend in the business data of the indicated unit time or Negative growth.

In addition, in the stock analysis method of the present invention, the characteristic value may also be the business data of the business unit of the plurality of industrial types to be analyzed this year, which is greater than the unit time of the current year, and the quantity of the characteristic value is exactly The number of these companies. In particular, the computer system can analyze business data for units of different years but for the same base period. For example, if the unit time is on a monthly basis, the monthly business information for April this year is greater than (or less than) the previous year. The monthly business data for April, the computer system will judge the eigenvalues of all companies that match the type of industry to be analyzed. After the computer system has analyzed all the types of companies, you can use the number of companies that match this type of eigenvalue as the axis of the chart or as the dependent variable of the data table, and then use the month as the chart. The other axis is either the self-variable of the data table, so you can draw a monthly business growth decline analysis curve or a monthly sales analysis data table.

Moreover, in the stock analysis method of the present invention, the feature value may be the business data of the accumulated business data per unit time at the time of the year is greater than (or less than) the cumulative unit time of the base time of the same unit time of the previous year, and the quantity of the characteristic value is The number of these companies. For example, if the monthly time is used as the unit time, the computer system accumulates the accumulated monthly business data for January to April this year compared with the accumulated monthly business data for the first year to April, if this year is greater than (or less than) In the year, the company meets this characteristic value, and then the computer system counts the number of companies that meet these characteristic values and uses this as the axis of the chart or the variable of the data analysis table, and then uses the month as the other axis of the chart. Or as a self-variant of the data table, you can draw a data sheet that accumulates the monthly business growth decline analysis curve or the cumulative monthly business growth decline.

Moreover, in the stock analysis method of the present invention, the number of feature values may be the difference between the business data of the cumulative unit time of the current unit time of the current year and the business data of the cumulative unit time of the same unit time base period of the previous year. In other words, regardless of the size of the business data of the cumulative unit time of the current period and the accumulated unit time of the base time of the same unit time of the year, the computer system will directly use the number of these characteristic values as the axis of the chart or as The variable of the data table, and then the unit time as the other axis of the chart or as the self-variable of the data table, so that you can draw the business growth decline analysis curve of accumulated unit time or the data analysis of the business with accumulated unit time. Information form.

In the stock analysis method of the present invention, the eigenvalue may be a comparison of the average business data of all company units of the industry type to be analyzed this year with the average business data of all companies of the same type in the same unit time base period of the previous year, and obtain these values. As the obtained eigenvalue, the computer system uses these eigenvalues as the axis of the graph or the dependent variable of the data analysis table, and then uses the unit time as the other axis of the graph or as the argument of the data table, so The unit time average business data of all companies of the industry type to be analyzed can be obtained as a basis for judging the state of the industry of the type of industry, or the basis for the transformation has begun.

In the stock analysis method of the present invention, the characteristic value may also be the comparison of the average accumulated business data of all company units in the industry type to be analyzed this year and the average accumulated business data of all companies of the same type in the same unit time base period in the previous year. Obtain these values as the obtained eigenvalues, and use the eigenvalues as the axis of the graph or the dependent variable of the data analysis table, and then use the unit time as the other axis of the graph or as the data table. The self-variable, so that the average cumulative business data per unit time of all companies of the industry to be analyzed can be obtained as a basis for judging the state of the industry of the type of industry, or the basis for the transformation has begun.

Furthermore, in the stock analysis method of the present invention, the characteristic value may be an average business data growth rate or an average cumulative business data growth rate of all companies in the industry type to be analyzed this year, and the computer system uses these characteristic values as a graph. The one-axis or the factor of the data analysis table, and then the unit time as the other axis of the chart or as the self-variable of the data table, you can get the average business data per unit time of all companies in the industry type to be analyzed as Determine the state of the economy of this type of industry, or the basis for the change.

In addition, the present invention further provides a readable storage medium for storing a computer program for loading into a computer system and causing the computer system to execute the stock analysis method as described above.

Moreover, the present invention further provides a computer program product, which comprises a computer readable code, and when the computer system is loaded and executed, the stock analysis method as described above can be completed.

In addition, in the business information mentioned above, the business information may be the revenue amount or earnings per share. In addition, the types of companies to be analyzed for the type of industry may be industry companies or public information observations of non-category stocks, listed companies, companies in the upper cabinets, and monthly revenue statistics published by public information observatories. The company published in the industry category of the code name query.

According to the above, the stock analysis method, the readable storage medium and the computer program product according to the present invention have the following advantages:

(1) The stock analysis method, the readable storage medium, and the computer program product of the present invention collect the plurality of months of business receipts of a plurality of companies in the same industry category to be analyzed, and compare the data by the computer system. These business receipts are used to make charts or data analysis tables, where the chart contains at least one unit of monthly revenue growth decline analysis curve or data table, so users can understand the current business data of these companies to grow. Happening.

(2) In addition, the characteristic value is, for example, compared with the business data per unit time of the current unit time and the unit time of the previous unit time, compared with the business data per unit time of the unit time of the same base period of the previous year or the current month of the year. The data is compared with the business data of the cumulative base time in the same base period of the previous year. Therefore, the stock analysis method of the present invention uses a plurality of comparison methods to allow the user to determine the current economic changes based on the data, and then decide whether to purchase or sell the stock.

(3) In addition, in the stock analysis method of the present invention, the chart and the data table are the number of companies of the same industrial category to be analyzed that meet the characteristic value or the business data of the unit time of the current year and the current year of the previous year. The difference is one axis or the variable of the data analysis table, and then the month is the other axis or the self-variable of the data table, so that the user can quickly understand the current company of the industry type in each month. Boom state.

(4) In the stock analysis method of the present invention, the average revenue or the average accumulated revenue of the company in the same industry category to be analyzed in this year and the current year is the characteristic value. Therefore, it is possible to use the average revenue or the average cumulative revenue of the base period of the year and the previous year as the axis or the factor of the data analysis table, and then use the unit time as another axis or as the independent variable of the data table. Allow users to quickly understand the current changes in the business of the current type of company in each month.

(5) Finally, in the stock analysis method of the present invention, the average revenue growth rate or the average cumulative revenue growth rate of the company in the same industry category to be analyzed in this year and the current year is consistent. The eigenvalue, so you can use the average revenue growth rate or the average cumulative revenue growth rate of the base period of the year and the previous year as the one-axis or the data analysis table, and then use the unit time as another axis or as The self-variable of the data table, so that users can quickly understand the business changes of the current industry type of the company in each month.

For a better understanding and understanding of the technical features and the efficacies of the present invention, the preferred embodiments and the detailed description are as follows.

The stock analysis method, the readable storage medium and the computer program product according to the preferred embodiment of the present invention will be described below with reference to the related drawings. For ease of understanding, the unit time is temporarily used as the unit time in the relevant schema. The units are described as, in other words, quarters or multiple seasons or months or other units, and the same elements in the following embodiments are denoted by the same reference numerals.

Please refer to the twelfth figure, which is a step diagram of the stock analysis method of the present invention. In the twelfth figure, the stock analysis method of the present invention uses a computer system to perform the following steps: step 600 is to retrieve a plurality of months of revenue data of a plurality of companies; and step 610 is to analyze the system through a computer system. Some monthly revenue data, wherein the computer system compares each company's monthly revenue data to analyze a characteristic value, and the computer system is a total number of characteristic values to make a chart, wherein the chart includes at least one month revenue Growth decline analysis curve. In addition, in the steps of extracting these monthly revenue data of these companies, a step 620 of collecting monthly revenue data from a database at intervals is also included.

In addition, in the stock analysis method of the present invention, the computer system may be a cloud system, and further, the user may retrieve the chart from the cloud system through another computer system (step 630), so the user's computer system You don't need to analyze the monthly revenue data, just select the chart you want to watch. In other words, please refer to the thirteenth figure, which is a schematic diagram of an embodiment of the stock analysis method of the present invention. In the thirteenth figure, the computer system 200 can further include a storage device 201. The computer system 200 can retrieve the required monthly revenue data from the database 300 through the network 400. The network 400 can be a wired or wireless network. Then, the computer system 200 executes the stock analysis method of the present invention to analyze the monthly revenue data, and creates a chart, and the analyzed chart can be stored in the storage device 201, so the user can read from the storage device 201 when needed. Watch out. In addition, the stock analysis method of the present invention can also be executed through the cloud system 210. Then, the computer system 200 can download the chart obtained from the cloud system 210 by performing the instruction of the chart to be viewed, and the foregoing chart can be stored. In the cloud system 210 or the storage device 201 of the computer system 200.

In detail, in Taiwan's stock market, investors can invest in listed companies, and their companies must publish their business information to the public information observatory (http://mops.twse.com.tw /index.htm), for the purpose of transparency and transparency, to attract investors or to be responsible for investors who have become shareholders. The stock analysis method of the present invention extracts the business data by means of wireless or wired network, and then compares the revenue data through the computer system to make a chart or data, and the chart may be according to the user's needs. Different forms.

In order to further understand the advantages of the stock analysis method of the present invention, please refer to the first figure, wherein the first figure is the stock analysis method of the present invention, which is made by the monthly revenue data of the company of the same industry category to be analyzed. The first chart. In the first picture, we can see that this first chart is composed of the month and the number of companies added. The first picture is based on the monthly revenue data of nearly two to three years and the monthly revenue data. Among them, the computer system compares the monthly characteristic data of each company's monthly revenue data to the monthly revenue data of the previous month. For example, this year's monthly revenue data is only the monthly revenue data for January to April this year, so in the first picture, we will see a monthly revenue growth decline analysis curve 512 that was terminated in April. Among them, the monthly revenue growth decline analysis curve 512 indicates that there are 265 companies with monthly revenue increase in April. In detail, this refers to the monthly revenue of each company in April this year is greater than this year. The monthly revenue of April has a total of 754. In addition, the two have complete from January to December monthly revenue growth decline analysis curves 513 and 514, which are for example the results of the analysis of the previous year and the previous year. It can be seen that when users view this chart, they can find that the majority of companies in this year's April monthly revenue compared with this year's March, the number of companies with monthly business growth is negative growth. In other words, the user can then judge whether to sell the stock or the relevant financial products of the stock.

In addition, please refer to the second figure, which is a second chart made by the monthly stock data of the same base period of the company of the same industry category to be analyzed. In the second picture, the second picture is analyzed by monthly revenue data of nearly two to four years and this year's monthly revenue data. The computer system compares the monthly characteristic data of each company with the characteristic value of this year. The monthly revenue data for the month is less than the monthly revenue for the month of the previous year. For example, this year's monthly revenue data is only the monthly revenue data for January to April this year, so in the second picture, we will see a monthly revenue growth decline analysis curve 515 that was terminated in April. Among them, the monthly revenue growth decline analysis curve 515 points out that there are 398 companies with monthly revenue increase in April this year compared with the same base period last year. In detail, this refers to the monthly camp of each company in April this year. The data collection is greater than the monthly revenue of April in the previous year, with a total of 398. In addition, the two have complete from January to December monthly revenue growth decline analysis curves 516 and 517, which are for example the results of the analysis of the previous year and the previous year. It can be seen that when users view this chart, they can compare the changes in the number of companies with monthly revenue increases for the same base period of this year, last year and the previous year.

In addition, please refer to the third figure, which is a third chart made by the stock analysis method of the present invention with monthly revenue data of a plurality of companies in the same industry category to be analyzed. In the third chart, the third picture is analyzed by monthly revenue data of nearly two to four years and the monthly revenue data of the company. The computer system compares the monthly characteristic data of each company with the characteristic value of this year. The accumulated monthly revenue data for the month is greater than the cumulative monthly revenue data for the month of the previous year. For example, this year's monthly revenue data is only the monthly revenue data for January to April this year, so in the third picture, we will see a monthly revenue growth decline analysis curve 518 that was terminated in April. Among them, the monthly revenue growth decline analysis curve 518 pointed out that the number of companies increased in April was 483. In detail, this means that the accumulated monthly revenue data of each company in April this year is greater than that of April of last year. The cumulative monthly revenue data has a total of 483. In addition, the cumulative monthly revenue data referred to here refers to the total monthly revenue of the same year from January to the designated month, if the designated month For April, the comparison of the eigenvalues will be compared to the sum of the monthly revenue data of a certain company from January to April this year and the monthly revenue of the previous year from January to April. If the sum of the sums is greater than the previous year, then the company will meet this characteristic value. In addition, the two have complete from January to December monthly revenue growth decline analysis curves 519 and 520, which are for example the results of the analysis of the previous year and the previous year. It can be seen that when users view this chart, they can compare the changes in the number of companies with increased cumulative monthly revenues this year, last year and the same month of the previous year.

In addition, please refer to the fourth figure, which is a fourth chart made by the monthly stock data of the plurality of companies in the same industry category to be analyzed. In the fourth picture, the fourth picture is analyzed with monthly revenue data of nearly two to four years and this year's monthly revenue data. The number of characteristic values is directly related to multiple companies in the same industry category to be analyzed. The difference between the monthly revenue data of the current month and the accumulated monthly revenue data of the same base year. For example, this year's monthly revenue data is only the monthly revenue data for January to April this year, so in the fourth picture, we will see a monthly revenue growth decline analysis curve 521 that was terminated in April. Among them, the monthly revenue growth decline analysis curve 521 pointed out that the total increase in April was 33.391 billion yuan. Specifically, this means that the cumulative monthly revenue of each company in April this year is an increase of 331.329 billion yuan from the accumulated monthly revenue data of April of the previous year. Further, the accumulation referred to here. Monthly revenue data refers to the total amount of monthly revenue data accumulated from January to the designated month in the same year. If the designated month is April, the computer system will put a company's month from January to April this year. The sum of the revenue data is subtracted from the monthly revenue of the previous year from January to April, and the difference between the monthly revenue of this year and the previous year is obtained. In addition, the two have complete from January to December monthly revenue growth decline analysis curves 522 and 523, which are for example the results of the analysis of the previous year and the previous year. It can be seen that when users view this chart, they can compare the changes in the accumulated monthly revenue of this year, last year and the same month of the previous year.

In addition, please refer to the first to eleventh figures. The fifth to eighth figures are the fifth to the monthly stock data of the multiple companies of the same industry type to be analyzed. The eighth chart and the ninth chart are the ninth chart and the tenth chart of the stock analysis method of the present invention, which are made by the average accumulated monthly revenue data of a plurality of companies, and the stock analysis method of the present invention is the same base period industrial stocks. The tenth and eleventh drawings of the company's monthly revenue growth rate data are based on the cumulative monthly revenue growth rate of the company's stock analysis method with the same base period industry stocks. Eleven forms. Among them, the fifth to seventh charts select the types of companies analyzed by the computer system under different conditions, for example, the fifth chart is the listed food company, the sixth chart is the unclassified company and the seventh picture. The listed chemical industry stocks are the subject of analysis, and their eigenvalues and their quantities are the same as the first chart, so they will not be described again. In addition, the eighth and ninth graphs represent the average monthly revenue and the average cumulative monthly revenue of a plurality of companies of the same industry type to be analyzed, and the average monthly revenue and the average accumulated monthly revenue are used to judge This boom in the industry to be analyzed changes the business. In addition, both the tenth and eleventh maps have the average monthly revenue growth rate and the average cumulative monthly revenue growth rate of the listed and upper cabinets and different industry types, so that users can easily See which type of industry is currently growing best, or which type of industry is currently the worst. Therefore, these two figures make it easier for users to determine which type of industry or futures they should invest in.

In the first to eleventh figures, the stock analysis method of the present invention can further select various charts that the user wants to observe the various feature values described above as the basis of analysis, for example, the number of companies that increased from last month's revenue. The total amount of the company's revenue in the current month compared with the same period last year, the accumulated revenue in the current month, the company's accumulated revenue, or the accumulated revenue in the current month, the total amount of accumulated revenue, the current year and the past few years. The average revenue of the company to be analyzed and the change in the accumulated revenue amount, the operating growth rate for the current month and the operating growth rate for the current month. In addition, the method of selection can be further differentiated by the type of listed company, the type of stock, or the analysis year. Wherein, the stock analysis method of the present invention can directly select the number of characteristic values of the month to be observed. For example, the point selected in the first figure is April of the monthly revenue growth decline analysis curve 512, and thus The details of the number of companies that increased in April this year, which shows the monthly revenue growth decline analysis curve 512 on the chart. In addition, the chart can display the number of all the companies in the selected listed company type, stock type or analysis year conditions, so as to provide users with reference.

In addition, the business status of the cumulative unit time and the business status of the unit time divided by the present invention can be regarded as a long-term change trend in the analysis skill, and the business status of the non-accumulated unit time can be regarded as Cheng is a short-term trend to analyze.

Moreover, the present invention further provides a computer readable storage medium for storing a computer program for loading into a computer system and causing the computer system to execute the stock analysis method as described above.

In addition, the present invention further provides a computer program product, which comprises a computer readable code, and when a computer system is loaded and executed, the stock analysis method as described above can be completed.

The above is intended to be illustrative only and not limiting. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims.

200. . . computer system

201. . . Storage device

210. . . Cloud system

300. . . database

400. . . network

511-523. . . Monthly revenue growth decline analysis line

600. . . step

610. . . step

620. . . step

630. . . step

The first figure is the first chart made by the stock analysis method of the present invention with the monthly revenue data of the company of the same industry category to be analyzed.

The second graph is a second graph produced by the stock analysis method of the present invention in the same base period of the company of the same industry category to be analyzed.

The third figure is a third chart made by the stock analysis method of the present invention with monthly revenue data of a plurality of companies in the same industry category to be analyzed.

The fourth figure is a fourth chart of the stock analysis method of the present invention, which is made up of monthly revenue data of a plurality of companies in the same industry category to be analyzed.

The fifth figure is a fifth chart of the stock analysis method of the present invention, which is made up of monthly revenue data of a plurality of companies of the same industry type to be analyzed.

The sixth figure is a sixth chart made by the stock analysis method of the present invention with monthly revenue data of a plurality of companies of the same industry type to be analyzed.

The seventh figure is a seventh chart made by the stock analysis method of the present invention with monthly revenue data of a plurality of companies of the same industry type to be analyzed.

The eighth figure is the eighth chart produced by the stock analysis method of the present invention by the average monthly revenue data of a plurality of companies of the same industry type to be analyzed.

The ninth chart is the ninth chart of the stock analysis method of the present invention which is made up of the average accumulated monthly revenue data of a plurality of companies.

The tenth figure is the tenth form of the stock analysis method of the present invention, which is made by the monthly growth rate of the company of the same base period industrial stock.

The eleventh figure is the eleventh table made by the accumulated monthly revenue growth rate of the company of the same base period industrial stock in the stock analysis method of the present invention.

The twelfth figure is a step diagram of the stock analysis method of the present invention.

The thirteenth diagram is a schematic diagram of an embodiment of the stock analysis method of the present invention.

600. . . step

610. . . step

620. . . step

630. . . step

Claims (16)

A stock analysis method uses a computer system to perform the following steps: capturing at least one business time of at least one company of at least one company of an industry type to be analyzed; and analyzing the business data of the unit time through the computer system, Wherein, the computer system analyzes a plurality of characteristic values by using the business data of the company for the unit time, and the computer system totals the quantity of the characteristic values to make data, wherein the data includes the revenue per unit time. Growth decline analysis data. For example, the stock analysis method described in claim 1 is characterized in that the number of industrial types to be analyzed is plural. For example, the stock analysis method described in claim 1 of the patent scope, wherein the number of the company is plural. For example, the stock analysis method described in claim 1 wherein the number of unit time is plural. The stock analysis method according to claim 1, wherein the computer system totals the number of the characteristic values to make the data represented by data or a chart. For example, the stock analysis method described in claim 1 of the patent scope, wherein the data of the unit time is in units of months or quarters. For example, the stock analysis method described in claim 1 of the patent scope, wherein the business data is a revenue amount or a earnings per share. For example, in the stock analysis method described in claim 1, the type of the company to be analyzed is a non-category company, a listed company, or a company. For example, the stock analysis method described in claim 1 of the patent scope, wherein the company to be analyzed is a code published by a company or a public information observatory of the monthly revenue statistics summary table published by the public information observatory. Query the industry category of the company. For example, the stock analysis method described in claim 1 is characterized in that the business value of the unit time is greater than the business data of the previous period, and the business data of the unit time is smaller than the business data of the previous period. The business data of the current unit time of the current year is greater than the business data of the unit time of the base unit of the previous year, and the business data of the current unit time of this year is less than the business data of the unit time of the base period of the same unit time of the previous year. The business data of these accumulated unit time per unit time is greater than the business unit of the accumulated unit time of the base period of the previous year or the unit time of the current unit time of the current period is less than the unit time of the base period of the same unit time of the previous year. Cumulative business information, the number of this characteristic value is the number of these companies. For example, in the stock analysis method described in claim 1, wherein the quantity of the characteristic value is accumulated by the unit time business data of the current unit time of the current year and the unit time business data of the accumulated base time of the same unit time and both. The difference between the average business data of the companies to be analyzed in these unit time of the unit time of the current period and the average business data of the companies of the industry type to be analyzed in the unit time of the same unit time of the previous year and the two The difference between the two, the average cumulative business data of the companies to be analyzed in the unit time of the unit time of the current period, and the average accumulated business data of the companies in the industry type of the unit to be analyzed The difference between the company's business data of the company type to be analyzed in the unit time of the current unit time of the current year and the growth rate of the average business data of the company to be analyzed for the industry type of the unit time of the same unit time of the previous year. The type of industry to be analyzed for these unit time of the current current unit time The cumulative business information of the company and the growth rate of the average accumulated business data of the company to be analyzed for the industry type of the unit time of the same unit time of the previous year. For example, in the method of stock analysis described in claim 1, wherein the step of extracting the business data of the unit time of the companies of the industrial type to be analyzed further includes extracting the unit from a database at intervals. The steps of the business information of the time. The stock analysis method according to claim 1, wherein the computer system is a cloud system. The method for analyzing stocks according to claim 13 of the patent application, wherein the step of analyzing the business data of the unit time includes a step of extracting the data from the cloud system by another computer system, wherein the data is a chart Or data. A computer readable storage medium for storing a computer program for loading into a computer system and causing the computer system to execute the stock analysis method as described in claim 1 of the patent application. A computer program product comprising a computer readable code, and when a computer system is loaded and executed, the stock analysis method as described in claim 1 of the patent application can be completed.