KR20230091309A - Method, apparatus and computer-readable recording medium for extracting and registering stocks of unlisted companies - Google Patents

Abstract

The present invention provides a method for extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors, wherein the first of a plurality of unlisted companies from a user account is provided. an extraction process initiation step of generating a stock database of the first unlisted company based on the received company information and starting an item extraction process, when company information on one unlisted company is received; When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection step of selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and a value comparison process of analyzing initial public offering (IPO) information of the selected at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and determine the investment attractiveness of the stocks of the first unlisted company It is characterized by including; providing investment attractiveness provided to the user account. In addition to this, various embodiments understood through this document are possible.

Description

METHOD, APPARATUS AND COMPUTER-READABLE RECORDING MEDIUM FOR EXTRACTING AND REGISTERING STOCKS OF UNLISTED COMPANIES}

The present invention relates to a method for extracting and registering stock items of an unlisted company, and specifically, upon receiving company information on a first unlisted company from a user account, an item extraction process is started, and the company information of the first unlisted company is initiated. and technology value evaluation information to select a listed company to compare with the first unlisted company, and a value comparison process that compares IPO (initial public offering) information of the selected listed company with corporate information and technology value evaluation information of the first unlisted company It relates to a technology for determining the number of shares and issue price allocated to stocks of a first unlisted company by performing, determining investment attractiveness, and providing the information to a user account.

A large-scale money move is continuing among the MZ generation to pursue profits in order to avoid being a beggar in the recent lowest interest rate environment. Deposits that can be taken out at any time decreased by nearly 10 trillion won, and stock market deposits increased by 4 to 6 trillion won every month, exceeding 70 trillion won at one time. In line with this trend, an increasing number of unlisted companies are preparing to be listed on the stock market to secure investment funds. For example, Kakao Bank and Kakao Pay are representative cases. Accordingly, various technologies are being developed to list unlisted companies on the stock market by analyzing unlisted companies to determine appropriate number of shares and issue price.

As an example, in Korea Patent Publication No. 10-2021-0057641 (Method for trading unlisted stocks and trading platform device therefor), when a shareholder register is registered from an unlisted company, a list of buy or sell orders for unlisted stocks registered from investors is displayed to provide the investor with a negotiation window for trading items, and when the preparation of the trading contract for unlisted stocks is completed by the investor, only the technology to provide the investor with a confirmation of unissued stock is disclosed, and the first unlisted transaction from the user account is disclosed. Upon receiving corporate information about the company, the stock extraction process is started, the company information and technology value evaluation information of the first unlisted company is analyzed to select at least one listed company to be compared with the first unlisted company, and the selected at least one listed company is selected. By performing a value comparison process that compares IPO (initial public offering) information of the listed company with corporate information and technology value evaluation information of the first unlisted company, the expected number of shares allocated to the stock issue of the first unlisted company and the expected issue price per share are calculated. The technology for determining the investment attractiveness and providing it to the user account has not been disclosed, so the need for a technology that can solve this problem is emerging.

Accordingly, the present invention, through a method of extracting and registering stock items of unlisted companies, when receiving company information on a first unlisted company from a user account, starts an item extraction process, thereby extracting the company information and technology value of the first unlisted company. Analyzing the evaluation information to select at least one listed company to compare with the first unlisted company, and comparing IPO (initial public offering) information of the selected at least one listed company with company information and technology value evaluation information of the first unlisted company A value comparison process is performed to determine the expected number of shares allocated and the expected issue price per share for the stocks of the first unlisted company, determine the investment attractiveness, and the number of allocated shares, the issue price and the investment attractiveness for the stocks of the first unlisted company Its purpose is to activate the trading of stock items for the first unlisted company by storing the information in the stock database and registering it in the exchange server.

In the method of extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors according to an embodiment of the present invention, a plurality of from a user account an extraction process initiation step of generating a stock database of the first unlisted company based on the received company information and starting an item extraction process, when company information on a first unlisted company among the unlisted companies is received; When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection step of selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and a value comparison process of analyzing initial public offering (IPO) information of the selected at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and determine the investment attractiveness of the stocks of the first unlisted company It is characterized by including; providing investment attractiveness provided to the user account.

The company information is financial statement information of the first unlisted company, and in the extraction process step, sales of the first unlisted company, operating profit of the first unlisted company, net profit of the first unlisted company, and the first It is desirable that the information be used to confirm the debt ratio of an unlisted company.

The preset selection condition is selection condition information for selecting a listed company to be compared with the first unlisted company from among a plurality of listed companies, and may include an operating profit selection condition, a sales selection condition, and an interest level selection condition.

In the step of selecting a listed company, when the technology value evaluation information is received as the issue extraction process starts, the patents owned by the first unlisted company and the first unlisted company are determined through the received technology value evaluation information. Technology value confirmation step of confirming the amount set for the patent held; and when the technology value confirmation step is completed, the company information and the technology value evaluation information are analyzed based on the predetermined selection conditions, and the value comparison process among a plurality of listed companies is performed based on the analysis result. IPO information for selecting the listed company to be compared with the first unlisted company, selecting a listed company having a theme corresponding to the first unlisted company, and receiving IPO information of the selected listed company from the outside. It is possible to include a; receiving step.

In the step of receiving the IPO information, when the listed company is selected as the interest level selection condition among the preset selection conditions, content based on the first unlisted company is searched online, and the retrieved content is analyzed through a previously stored sentiment analysis algorithm. It is possible to obtain a level of interest in the first unlisted company and select the listed company by reflecting the obtained level of interest when selecting the listed company.

In the step of providing investment attractiveness, when the IPO information of the listed company is received, based on the received IPO information, the listed company's financial statements, the number of listed shares, the number of shares owned by common shareholders, the number of common shareholders, management Listed company information confirmation step to confirm performance; When the confirmation of the IPO information of the listed company is completed due to the function performance of the listed company information confirmation step, based on the pre-stored comparison algorithm, the company information and technology value evaluation information of the first unlisted company and the IPO of the listed company a value determination step of comparing information and determining an expected number of allocated shares and an expected issue price per share for the stock issue of the first unlisted company; and when the expected number of allocated shares and the expected issue price per share are determined due to the performance of the function of determining the value, a valuation score and a business monopoly score of the first unlisted company based on a pre-stored investment attractiveness algorithm , an investment attractiveness calculation step of calculating an investment attractiveness score of the first unlisted company by obtaining a financial stability score, a profit growth potential score, and a cash generating capacity score.

In the providing of investment attractiveness, when the function of calculating investment attractiveness is completed, the expected number of allocated shares for the stock issue of the first unlisted company, the expected issue price per share, and the investment attractiveness score are stored in the stock database. And, by registering the stock database in the exchange server, it is possible to trade stock items of the first unlisted company.

In the apparatus for extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors according to an embodiment of the present invention, an extraction process initiator for generating a stock database of the first unlisted company and starting an item extraction process, based on the received company information, when receiving company information on a first unlisted company among the unlisted companies; When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection unit for selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and a value comparison process of analyzing initial public offering (IPO) information of the selected at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and determine the investment attractiveness of the stocks of the first unlisted company It is characterized in that it includes; an investment attractiveness provision unit provided to the user account.

A computer-readable recording medium according to an embodiment of the present invention, wherein the computer-readable recording medium stores instructions for causing a computing device to perform the following steps, the steps including; Extraction process of starting an item extraction process by creating a stock database of the first unlisted company based on the received company information when receiving company information on a first unlisted company among a plurality of unlisted companies from a user account. start-up phase; When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection step of selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and a value comparison process of analyzing initial public offering (IPO) information of the selected at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and determine the investment attractiveness of the stocks of the first unlisted company It is characterized by including; providing investment attractiveness provided to the user account.

The method for extracting and registering stock items of an unlisted company according to the present invention, when receiving company information of an unlisted company from a user account, extracts the stock items of an unlisted company and completes DB registration to enable transactions with unlisted companies. do.

In addition, when extracting the stocks of unlisted companies, a listed company that satisfies the pre-stored selection conditions is selected, and the value of the unlisted company is calculated by comparing the IPO information of the selected listed company with the company information and technology value evaluation information of the unlisted company. Therefore, indiscriminate valuation of unlisted companies can be prevented by determining the expected number of allocated shares and the expected issue price per share for stocks of unlisted companies.

In addition, as the investment attractiveness score for unlisted companies is provided to investors who invest in stocks of unlisted companies, investors compare the investment attractiveness score for unlisted companies with the investment attractiveness score for listed companies and are highly evaluated. You can make wise investment activities by recognizing whether it is undervalued or undervalued.

1 is a flowchart of a method of extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
2 is a flowchart illustrating a listed company selection step of a method of extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
3 is a diagram for explaining the IPO information receiving unit of the device for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
Figure 4 is another diagram for explaining the IPO information receiving unit of the device for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
5 is a flowchart illustrating an investment attractiveness providing step of a method of extracting and registering stock items of an unlisted company according to an embodiment of the present invention.
6 is a diagram for explaining an investment attractiveness providing unit of an apparatus for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
7 is another diagram for explaining an investment attractiveness providing unit of an apparatus for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.
8 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

In the following, various embodiments and/or aspects are disclosed with reference now to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to facilitate a general understanding of one or more aspects. However, it will also be appreciated by those skilled in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings describe in detail certain illustrative aspects of one or more aspects. However, these aspects are exemplary and some of the various methods in principle of the various aspects may be used, and the described descriptions are intended to include all such aspects and their equivalents.

References to “embodiment,” “example,” “aspect,” “example,” etc., used in this specification should not be construed as indicating that any aspect or design described is preferable to or advantageous over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. It should be understood that it does not.

In addition, terms including ordinal numbers such as first and second may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are those commonly understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the embodiments of the present invention, an ideal or excessively formal meaning not be interpreted as

1 is a flowchart of a method of extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 1 , a method of extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors starts the extraction process (step S101). , a listed company selection step (step S103) and an investment attractiveness providing step (step S105) may be included.

In step S101, when the one or more processors (hereinafter referred to as processors) receive company information about a first unlisted company among a plurality of unlisted companies from a user account, based on the received company information, the first unlisted company By creating a stock database of stocks, you can start the stock extraction process.

According to an embodiment, the company information is financial statement information for the first unlisted company, and the processor stores sales of the first unlisted company, operating profit of the first unlisted company, and the first unlisted company through the company information. Net profit of the unlisted company and the debt ratio of the first unlisted company may be confirmed. In addition, the company information may be financial statement information for the first unlisted company, and information including all information for extracting and trading stock items of the first unlisted company.

According to one embodiment, the processor may create a stock database of the first unlisted company. The stock database is a space containing various information generated as the extraction of stock items of the first unlisted company is completed, and is stored in the user account as well as other user accounts (eg, buyer account, seller account). may be a space in which data for trading stock items of the first unlisted company are stored. The item extraction process may be a process for extracting and generating stock items of unlisted companies.

According to one embodiment, the processor may perform the listed company selection step (step S103) when the item extraction process starts.

In step S103, when the item extraction process starts, the processor may receive technology value evaluation information of the first unlisted company from an external technology value evaluation database.

According to an embodiment, the external technology value evaluation database may be a database of a technology value evaluation institution (eg, WIPS, Technology Valuation Association). That is, when the item extraction process starts, the processor accesses the technology value evaluation institution's database (technology value evaluation database) and evaluates the technology value of the first unlisted company stored in the technology value evaluation database. Information can be retrieved and received.

According to an embodiment, the processor performs a value comparison process of analyzing the company information and the technology value evaluation information based on predetermined selection conditions when the reception of the technology value evaluation information of the first unlisted company is completed. Thus, a listed company to be compared with the first unlisted company may be selected. At this time, the selected listed company is at least one listed company, and one or a plurality of listed companies may be selected.

According to an embodiment, the predetermined selection condition is selection condition information for selecting a listed company to be compared with the first unlisted company among a plurality of listed companies, and includes operating profit selection condition, sales selection condition, and interest selection condition. can do.

For example, when the operating profit of the first unlisted company is 200 billion won, the operating profit selection condition is to select a listed company included in a designated operating profit range (eg, -20 billion won to +30 billion won) among a plurality of listed companies. It may be a condition for selection. The sales selection condition is the condition for selecting a listed company included in the designated sales range (eg -30 billion won to +50 billion won) among a plurality of listed companies when the sales of the first unlisted company is 350 billion won. can For a detailed description of the conditions for selecting the degree of interest, refer to FIG. 4 .

According to an embodiment, the processor may perform an investment attractiveness providing step (step S105) when selection of at least one listed company to be compared with the first unlisted company is completed.

In step S105, when the selection of the listed company is completed, the processor performs a value comparison process of analyzing initial public offering (IPO) information of the selected listed company and company information and technology value evaluation information of the first unlisted company. can be done The IPO information may include information about a listed company submitted to an exchange when the listed company goes public. That is, the above IPO information includes information on the financial statements of listed companies, and at the same time, price earnings ratio (PER), price-to-book ratio (PBR), and sales per share ratio (PSR, Price per Sales Ratio), enterprise value as a percentage of sales (EV/SALES), or enterprise value as a percentage of operating income before tax (EV/EBITDA).

According to an embodiment, when performing the value comparison process, the processor may identify information input to a plurality of items included in the IPO information of the listed company. For example, the plurality of items included in the IPO information may include a sales item, an operating profit item, a debt ratio item, an issue price item, a public offering price item, and a number of shares allocated. Information included in the submitted documents is not limited to this.

According to an embodiment, the processor may first determine a value of a stock item of the first unlisted company by analyzing company information and technology value evaluation information of the first unlisted company. Thereafter, the processor compares and analyzes the value of the stock issue of the first unlisted company determined primarily through the value comparison process and information input to each of a plurality of items included in the IPO information of the listed company, The expected issue price per share and the expected number of allocated shares of the first unlisted stock issue can be determined. At this time, the expected number of allocated shares and the expected issue price per share for the first unlisted stock may be changed according to the algorithm used through the value comparison process, and the expected value for the first unlisted stock issue is provided to the user account. The expected issue price per share and the expected number of shares allocated may be different from the issue price per share and the number of shares allocated when the first unlisted company is actually listed on the stock market such as the Korean Exchange. That is, the expected number of allocated shares and the expected issue price per share are information provided to the user account by calculating the approximate expected value of the stock issue of the first unlisted company, and the user account invests in the stock issue of the first unlisted company. During the activity, it is possible to determine whether to invest in stocks of the first unlisted company in an unlisted state by referring to the expected number of allocated shares and the expected issue price per share. When the expected issue price per share and the expected number of allocated shares of the stock issue of the company are determined, the investment attractiveness of the stock issue of the first unlisted company may be determined. At this time, the processor may calculate an investment attractiveness score for the stock issue through a pre-stored investment attractiveness algorithm when determining the investment attractiveness of the stock issue of the first unlisted company.

According to an embodiment, when the determination of the investment attractiveness of the stock issue of the first unlisted company is completed, the processor sends the expected issue price per share, the expected number of allocated shares, and the investment attractiveness of the first unlisted company to the user account. can provide

More precisely, when the determination of the investment attractiveness of the stock issue of the first unlisted company is completed, the processor converts the expected issue price per share, expected number of allocated shares, and investment attractiveness of the first unlisted company to the first unlisted company. It can be stored in a stock database. In addition, the processor may provide information (e.g., trading) for providing an interface necessary for trading the stock issue of the first unlisted company to the user account or another user account, as well as the expected issue price per share, the expected number of allocated shares, and investment attractiveness. Window UI implementation information and generally information necessary for stock trading (current price, upper limit price, lower limit price, etc.) may be stored in the stock database of the first unlisted company.

According to an embodiment, the processor may utilize the stock database of the first unlisted company to enable trading of stock items of the first unlisted company, and provide the data to the user account or the other user account. That is, the present invention may be an invention that enables investment activities (eg, buying and selling) by the user account or the other user account in an unlisted state without listing the stock issue of the first unlisted company.

2 is a flowchart illustrating a listed company selection step of a method of extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 2 , a method of extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors includes a listed company selection step (e.g., a listed company). A company selection step (S103 step)) may be included.

According to one embodiment, the one or more processors (hereinafter referred to as processors) select the listed company when the stock extraction process is started in the extraction process start step (eg, the extraction process start step (S101 step) of FIG. 1). steps can be performed.

According to an embodiment, when the item extraction process starts, the processor receives technology value evaluation information of the first unlisted company from an external technology value evaluation database, and based on predetermined selection conditions, The above listed company selection step of selecting at least one listed company to be compared with the first unlisted company may be performed by analyzing company information and technology value evaluation information of the unlisted company and using the result of the analysis.

According to an embodiment, in the step of selecting a listed company, a step of checking a technology value (step S201) and a step of receiving IPO information (step S203) may be performed in order to perform the functions described above.

According to an embodiment, in the step S201, when the technology value evaluation information is received as the item extraction process starts, the processor, through the received technology value evaluation information, obtains a patent and a second patent owned by the first unlisted company. 1 You can check the amount allocated to patents held by unlisted companies. In addition, the technology value evaluation information includes not only the patents owned by the first unlisted company and the amount allocated to the patents held by the first unlisted company, but also the trademarks owned by the first unlisted company and the amount allocated to the trademarks owned by the first unlisted company. It can be used in the sense of including information about the amount.

According to an embodiment, the technology value evaluation information is information obtained by a technology value evaluation institution analyzing a patent owned by the first unlisted company and determining a value (amount), and the technology value evaluation institution's database or the first unlisted company. 1 May be stored in a database owned by an unlisted company. That is, the processor may check the value of the technology possessed by the first unlisted company through the technology value evaluation information.

According to an embodiment, the processor may perform the IPO information receiving step (S203) when the function of the technical value checking step (S201) is completed.

In step S203, when the technology value verification step is completed, the processor analyzes the company information and the technology value evaluation information based on predetermined selection conditions, and based on the analysis result, the processor selects among a plurality of listed companies. In the value comparison process, at least one listed company to be compared with the first unlisted company may be selected. When the selection of the at least one listed company is completed, the processor may receive IPO information of the selected listed company from the outside. At this time, the outside receiving the IPO information may be a database of an exchange, or a database of a website (eg, Naver Financial) that registers IPO information of listed companies.

At this time, when selecting at least one listed company to be compared with the first unlisted company, the processor identifies listed company information that satisfies the predetermined condition among a plurality of listed company information stored in a listed company database, Only one listed company may be selected.

However, when selecting at least one listed company to be compared with the first unlisted company, the processor selects at least one listed company having a theme corresponding to the first unlisted company, IPO information of at least one listed company may be received. The theme is a configuration that means a group of stocks in which stock prices move in the same direction by an event with one theme. For example, various themes such as politics, entertainment, leisure, science and technology, real estate, disease, and resource development exist. can Refer to FIG. 3 for a detailed description of how the processor selects a listed company to be compared with the first unlisted company by analyzing company information and valuation technology information of the first unlisted company based on the predetermined selection conditions.

3 is a diagram for explaining the IPO information receiving unit of the device for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 3, an apparatus for extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories for storing instructions executable by the processors is an IPO information receiving unit 301 (eg : A configuration that performs the same function as the function performed in the IPO information receiving step of FIG. 2) may be included.

According to an embodiment, the IPO information receiving unit 301 may analyze the company information 303a and technology value evaluation information 303b of the first unlisted company based on the preset selection condition 301a. The IPO information reception unit 301 may select at least one listed company to be compared with the first unlisted company from among a plurality of listed companies through an analysis result of the company information 303a and the technology value evaluation information 303b. there is. More precisely, the IPO information receiving unit 301 analyzes the company information 303a and the technology value evaluation information 303b based on the predetermined selection condition 301a, and through the analysis result obtained, the third party 1 At least one listed company may be selected as a basis for determining the expected issue price per share and the expected number of shares to be allocated for stock issues of unlisted companies.

According to an embodiment, the predetermined selection condition 301a is selection condition information for selecting a listed company (eg, one or a plurality of listed companies) to be compared with the first unlisted company among a plurality of listed companies, Profit selection conditions, sales selection conditions, and interest selection conditions may be included. The company information 303a is financial statement information of the first unlisted company, and information necessary for extracting stock items of the first unlisted company (eg, sales, operating profit, net profit, debt ratio, etc.) is entered. may be information.

According to an embodiment, the technology value evaluation information includes not only the patents owned by the first unlisted company and the amount allocated to the patents held by the first unlisted company, but also the trademarks owned by the first unlisted company and the trademarks owned by the first unlisted company. It can be used in the sense of including information about the amount set for.

For example, when the IPO information receiving unit 301 selects at least a listed company to be compared with the first unlisted company based on an operating profit standard condition among the preset selection conditions, the company information of the first unlisted company And by analyzing the technology value evaluation information, the operating profit of the first unlisted company may be determined. At this time, the IPO information receiving unit 301 based on the operating profit of the previous year of the first unlisted company, it is possible to predict the quarterly operating profit.

At this time, the IPO information receiving unit 301, if the operating profit of the first unlisted company is 300 billion, at least within the designated operating profit range (-50 billion won to +30 billion won in operating profit of the first unlisted company) Only one listed company may be selected. At this time, when selecting at least one listed company, the IPO information receiver 301 may select a listed company having a theme corresponding to the theme of the first unlisted company.

However, when the IPO information receiving unit 301 selects the at least one selected company only under the operating profit criterion among the preset selection conditions, since a plurality of selected companies can be selected, they are included in the preset selection conditions. Finally, a listed company to be compared with the first unlisted company may be selected by reflecting all of the plurality of selected conditions. At this time, the number of selected listed companies may be changed by setting values input from the user account.

According to another embodiment, the IPO information receiving unit 301 selects the at least one selected company with only the operating profit standard condition among the predetermined selection conditions, when a plurality of listed companies are selected, the operating profit standard condition. It is possible to check the issue price for each of the listed companies that are satisfied, and calculate the average issue price for a plurality of listed companies through the confirmed issue price. At this time, the calculated average issue price is the average issue price based on the operating profit condition (average issue price based on operating profit), and the IPO information receiving unit 301 calculates the plurality of average issue prices based on the preset selection condition. The final average issue price can be calculated. The final average issue price may correspond to the current value of at least one listed company compared with the current value of the first unlisted company in FIG. 5 . The predetermined selection condition is the company information of the first unlisted company. And it can be added, changed, or deleted according to the types of items included in the technology value evaluation information. Accordingly, it is natural that the plurality of listed company information includes items corresponding to items included in the company information and technology value evaluation information of the first unlisted company.

Figure 4 is another diagram for explaining the IPO information receiving unit of the device for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 4, an apparatus for extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors is an IPO information receiving unit (e.g., FIG. 3 Of the IPO information receiver 301) may include.

According to an embodiment, the IPO information receiving unit analyzes the company information and technology value evaluation information of the first unlisted company based on a preset selection condition (eg, the preset selection condition 301a of FIG. 3), and analyzes the Based on the result, at least one listed company to be compared with the first unlisted company may be selected.

According to an embodiment, when the listed company is selected as an interest level selection condition 401 among preset selection conditions, the IPO information receiver may search for content 401a based on the first unlisted company online. At this time, the IPO information receiving unit analyzes the searched content through a pre-stored sentiment analysis algorithm 401b to obtain an interest level 401c for the first unlisted company, and when selecting the listed company, the obtained interest level A listed company may be selected by reflecting the numerical value 401c. The level of interest 401c may be a value based on public interest in the first unlisted company and expectations for the first unlisted company listed on the unlisted stock market.

According to an embodiment, the content 401a for the first unlisted company may be image and text information including news, blog posts, ratings, and reviews about the first unlisted company online.

For example, when the listed company is selected as the interest level selection condition 401, the IPO information receiving unit may extract searched content 401a by inputting a keyword related to the first unlisted company online. At this time, the keyword related to the first unlisted company is input by a user account or text included a specified number of times or more in content searched by entering the name of the first unlisted company online as a keyword related to the first unlisted company. By additionally designating, various contents can be searched.

In relation to the above, when the search for the content 401a based on the first unlisted company is completed, the IPO information receiving unit may analyze the content 401a through a pre-stored sentiment analysis algorithm 401b. The IPO information receiving unit, for the content 401a, through a sentiment analysis algorithm of a multimodal NN and a Korean-based BERT (Bidirectional Encoder Representations from Transformers) model, content based on the first unlisted company Sentiment analysis process can be performed in 401a.

For example, the multimodal neural network is capable of processing multimedia including text, that is, neural network processing including a text processing algorithm and an image processing algorithm, rather than algorithm processing of the content 401a of the first unlisted company. is a composition for The neural network is understood as a model used to derive a result based on various types of data, especially when used for deep learning-based emotion classification using various kinds of biosignals. In the present invention, it can be used for the purpose of classifying customers' feelings about the first unlisted company.

In addition, when the content 401a of the first unlisted company is image-based content, the IPO information receiving unit may use a word extraction method that can be used for sentiment analysis through application of deep learning to the image. Alternatively, a sentiment analysis algorithm using a sentiment tree for the image itself may be applied.

For example, an emotion analysis algorithm through an image may be an algorithm using an emotion tree. This evaluates the image by assigning weights to positive, negative, and neutral classification emotions in the form of a tree. Based on the evaluation criterion of brightness contrast, which is the representative image evaluation emotion, the first is positive, negative, and neutral, and the second is subdivided image emotion into positive, negative, and neutral (e.g., in the case of positive, happiness, joy, interest, negative, frustration, displeasure) , annoyance, no interest, neutral, emotional expression that does not fall under positive or negative). Three emotional recognitions are measured with digitized contrast data. The evaluation implementation graphs the brightness contrast through OpenCV, and computes it by dividing it into three emotions according to changes in positive, negative, and neutral values. Emotional computing can change "positive" to "negative" or "negative" to "neutral" or "positive" according to the input value of brightness contrast.

For example, when the content 401a of the first unlisted company is text, the IPO information receiving unit receives the content of the first unlisted company as a text-based sentiment analysis algorithm, for example, through the above-described Bert model. Sentiment analysis process for 401a) can be performed. The sentiment analysis algorithm at this time may be a machine learning and keyword-based analysis algorithm.

In relation to the above, machine learning-based sentiment analysis has, for example, a pre-construction method through regression analysis. In general, ratings are given to review data, and a regression analysis model is applied to the data labeled with ratings to build a sentiment dictionary for each word. It can be a type of sentiment analysis. The IPO information receiving unit is able to perform sentiment analysis on the content in a state in which the performance of the dictionary built through verification is secured when analyzing the content of the first unlisted company through the machine learning-based sentiment analysis.

On the other hand, there is a semi-supervised method. The emotional dictionary is also constructed through semi-supervised learning, which is an intermediate between supervised learning and unsupervised learning. The method based on semi-supervised learning is divided into two detailed methods. The first is a method using a sentiment graph. After embedding high-dimensional words into low-dimensional words, a network between each word is built based on distance. After pre-labeling several words with certain sentiment scores (Pre-labeled sentiment words), the sentiment scores of the remaining words are measured according to their positions in space.

In more detail, "good", "super", "fun", "great" are positive, "intrusive", "forced", "boring", "regret" are negative, and "see", " Sentiment analysis is performed by labeling neutral words in advance, such as "director", "protagonist", "friend", and "camera", and scoring the emotional scores of the remaining words from the relationship with them.

The second approach through semi-supervised learning is self-training. In this method, like the sentiment graph method, specific words of a plurality of gangs are previously labeled. After learning the classifier only with this vocabulary, the classifier is applied to the vocabulary for which there is no correct answer, and if the reliability of the result is high, it is designated as the correct answer and then the learner is relearned. As the number of repeated learning increases, the number of labeled words may increase.

A Recursive Neural Tensor Network (RNTN) method may also be used. R here is a word representing Recursive (recursive), which has a different meaning from Recurrent (recurrent) used in RNN. RNTN has two benchmark models. The first is RecursiveNN, which shows each word structurally as shown below, and then continuously learns how emotions are expressed by combining each word into phrases one by one. In one paper, positive and negative are classified into 25 steps, and the same phrase is labeled using the average of the results evaluated by three people. The reason for using the modifier recursive here is that equal weight is applied to each word or phrase.

The second is MV-RNN (Matrix-Vector Recursive Neural Network). This method attempts to solve the limitations of existing RecursiveNN by storing the context of longer sentences in a matrix. And the RNTN below is the result of combining the two benchmark models and stacking them as tensors. RNTNs generally perform better than their respective benchmark models. In particular, when two sentences are connected with a word such as "but" or when a complex high-level negation exists in a sentence, it shows much better performance than the existing model.

Meanwhile, the Bert model is a natural language processing (NLP) pre-training technology developed by Google, and is not a technology limited to a specific field, but a general-purpose language model that shows good performance in all natural language processing fields. Since BERT shows state-of-the-art performance in more than 11 natural language processing tasks, it may be a model that has recently been spotlighted as a very suitable model for language processing.

Embedding has a great influence on the performance of a model to perform a specific task if there are enough data, and embedding words that express the meaning of words well as vectors will of course perform well during the training process. BERT is used in this embedding process, and BERT can be understood as a language model that can improve the performance of a specific task through pre-training embedding before performing a specific task.

Prior to the advent of BERT, Word2Vec, GloVe, and Fasttext methods were widely used for preprocessing and embedding of data, but BERT is widely used in most of the high-performance models these days.

In the Bert model, input text data is processed through Token Embedding, Segment Embedding, and Position Embedding. Token Embedding is a word piece embedding method that embeds each Char (character) unit and makes the longest sub-word that appears frequently as one unit. Words that do not appear frequently are made into sub-words again. This can also solve the 'OOV' problem that degraded modeling performance by 'OOV' processing all words that did not appear frequently before.

In Segment Embedding, tokenized words are made into one sentence again. In BERT, two sentences are separated by inserting a separator ([SEP]), and the two sentences are designated as one segment and input. In BERT, this one segment is limited to 512 sub-words in length, but Korean usually says that 20 sub-words make up a sentence, and most sentences do not exceed 60 sub-words, so when using BERT, one segment Even if it is limited to 128, it is possible to learn sufficiently.

In Position Embedding, Bert uses only part of the Transformer model. Transformer is a model that uses a model called Self-Attention instead of models such as CNN and RNN. BERT uses only the encoder among Transformer's encoder and decoder.

Self Attention does not consider the location of the input, but considers the location information of the input token. So, in the Transformer model, Positional encoding is used using the Sinusoid function, and BERT uses Positional encoding based on this. That is, embedding is performed in the order of tokens.

BERT combines the above three embeddings, applies layer normalization and dropout to them, and uses them as input. After encoding all the data to be trained by embedding the data, pre-training is performed. That is, in the present invention, the content sentiment analysis unit 12 applies the vert model, and the vert model does not use the existing analysis model of a specific field, but presents a general model first After that, Fine Tuning is performed to derive an algorithm that performs the task. That is, pre-training is performed on the vert model, and the vert model is continuously learned through fine tuning of the vert model using the first contents for a plurality of medical institutions. .

Existing methods usually use a method of predicting the next word by learning sentences from left to right, or a method of predicting considering left and right contexts of the predicted word. However, BERT uses two methods, MLM (Masked Language Model) and NSP (Next Sentence Prediction), to learn language characteristics well.

MLM learns by randomly discarding tokens from input sentences (Mask processing) and matching the tokens. NSP predicts the order of two sentences given two sentences, and considers the relationship between the two sentences. For the fine tuning of NLI and QA, which must be done, we proceed with learning to match the association between the two sentences.

After the pre-training, a fine-tuning process for transfer learning of the learned language model is performed. That is, word embeddings (sentence embeddings) that have completed the pretraining contain sufficient semantic and grammatical information of the corpus, and the embeddings are updated to suit the downstream tasks through fine-tuning additional learning to perform downstream tasks. Transfer learning builds up additional models on the output of BERT's language model. In general, it is known that performance is good and there is no significant difference when simple DNNs are stacked without stacking complicated CNNs, LSTMs, and Attention.

In order to write ERT for each task, first put two sentences as one input in the sentence pair classification problem and find the relationship between the two sentences, or put one sentence as an input and classify the type of sentence, or locate the desired answer within a sentence or paragraph Finds the beginning and end of , or named entity recognition of input sentence tokens, or part-of-speech tagging.

At this time, the IPO information receiving unit performs positive/negative classification on the input sentence using the corresponding fine-tuning. In the case of a task that classifies the type (positive/negative) of the input sentence by fine-tuning, a classification layer is added to classify the sentence. Positives and negatives are classified according to keywords such as numerical values or words, and at this time, as parameters, batch size, epoch, max sequence length, dropout rate, learning rate, etc. can be set and used.

That is, the IPO information receiving unit analyzes the text and image in the content 401a of the first unlisted company through the pre-stored sentiment analysis algorithm 401b, and the words extracted as a result of the analysis are based on the pre-stored sentiment analysis algorithm. A sentiment analysis process is performed to identify which sentiment category is included in the positive category, negative category, and neutral category in the sentiment dictionary, and the result value of the sentiment analysis on the first unlisted company is obtained through the contents of the first unlisted company. can do. In this case, the result value of the sentiment analysis may be an interest level value 401c.

In relation to the above, the IPO information receiver may obtain a result value of 150 positive times, 80 negative times, and 70 neutral times as a result value of the sentiment analysis. The IPO information receiving unit may obtain an interest level 401b based on the resultant value by using a preset calculation formula. When the IPO information receiving unit completes acquiring the interest level 401b, it is possible to select a listed company included in a specified interest level range (eg, interest level of the first unlisted company -2 to +2 points).

5 is a flowchart illustrating an investment attractiveness providing step of a method of extracting and registering stock items of an unlisted company according to an embodiment of the present invention.

Referring to FIG. 5 , a method of extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors provides an investment attractiveness step (e.g., It may include the investment attractiveness providing step (step S105) of FIG. 1).

According to an embodiment, the one or more processors (hereinafter referred to as processors) may perform the step of providing investment attractiveness when selection of at least one listed company is completed.

According to an embodiment, when the selection of the listed company is completed, the processor compares values by analyzing initial public offering (IPO) information of the selected listed company and company information and technology value evaluation information of the first unlisted company. process can be performed. When the value comparison process starts, the processor determines the expected issue price per share and the expected number of allotted shares of the stock issue of the first unlisted company, determines the investment attractiveness of the stock issue of the first unlisted company, and determines The investment attractiveness can be provided to the user account.

According to an embodiment, the providing of investment attractiveness is steps for performing the above-described functions, including a listed company information check step (step S501), a value determination step (step S503), and an investment attractiveness calculation step (step S505). ) may be included.

In step S501, the processor receives the IPO information of the selected listed company from the outside as the listed company is selected in the IPO information receiving step (eg, IPO information receiving step (S203) of FIG. 2), the received Based on the IPO information, it is possible to check the financial statements, the number of listed shares, the number of shares owned by general shareholders, the number of general shareholders, and management performance of the listed companies. The processor identifies the items included in the IPO information as well as the financial statements of the listed company, the number of listed shares, the number of shares owned by common shareholders, the number of common shareholders and business performance, so that other items included in the IPO information can be identified.

According to one embodiment, when the confirmation of the IPO information is completed, the processor may perform a comparison process performing step (step S503).

In step S503, when the verification of the IPO information of the listed company is completed due to the performance of the function of verifying the listed company information, the processor determines the company information and technology value evaluation information of the first unlisted company based on a pre-stored comparison algorithm. and the IPO information of the listed companies can be compared. The processor may determine an expected issue price per share and an expected number of allocated shares of stock issues of the first unlisted company by comparing company information and technology valuation information of the first unlisted company with IPO information of the listed company.

According to an embodiment, the processor may perform a value comparison process, which is a process for calculating a value of the first unlisted company, based on company information and technology value evaluation information of the first unlisted company. In this case, the processor may use a pre-stored comparison algorithm when performing the value comparison process.

In relation to the above, the processor calculates a value (eg, a second value) of the first unlisted company by analyzing company information and technology value evaluation information of the first unlisted company based on the pre-stored comparison algorithm. can do. At this time, the calculated value of the first unlisted company (eg, second value) may have a different configuration from the value (eg, first value) calculated from pre-stored selection conditions. In more detail, the value of the first unlisted company (eg, second value) calculated based on the pre-stored comparison algorithm is a configuration for determining the expected number of allocated shares and expected issue price per share for the stock issue of the first unlisted company, that is, This configuration determines the value of the first unlisted company, and a value (eg, first value) calculated from the pre-stored selection conditions may be used to select a listed company to be compared with the first unlisted company.

According to an embodiment, the processor may analyze company information and technology value evaluation information of the first unlisted company based on the pre-stored comparison algorithm to determine cash flow of the first unlisted company. At this time, the processor may predict cash flow that the first unlisted company will earn in the future through a valuation method called discounted cash flow (DCF).

More precisely, the processor analyzes the company information and technology value evaluation information of the first unlisted company, predicts the future business situation of the first unlisted company, prepares an estimated profit and loss statement reflecting the investment plan, and based on this, creates a net cash flow can be calculated. The processor may determine a discount rate for converting the calculated net cash flow of the first unlisted company into a present value, and the capital cost corresponding to the equity part of the investment funds of the first unlisted company is a capital asset pricing model ( CAPM), etc., and for the external borrowing part, the cost of debt after tax considering the tax reduction effect of interest expense on the procurement cost can be calculated, and the weighted average cost of capital can be calculated according to the composition ratio of equity capital and debt capital. .

However, since the cash flow cannot be estimated indefinitely for the future operation of the first unlisted company, the processor refers to the residual value after a certain period of the estimated year, and the corporate value at the end of the estimated year It can be calculated and calculated as the present value of the first unlisted company. Accordingly, the processor determines sales, operating expenses, operating profit, corporate tax expense, operating profit after tax, depreciation, operating cash flow, and investment amount of the first unlisted company through company information and technology value evaluation information of the first unlisted company. , net working capital, and free cash flow, it is possible to determine the growth rate and operating value of the first unlisted company by calculating the present value of the first unlisted company.

According to an embodiment, when the calculation of the current value of the first unlisted company is completed based on the pre-stored comparison algorithm, the processor determines the current value of the listed company (eg, listed company) through IPO information of the listed company. number of shares, current price per share, and market capitalization). In addition, the processor may connect to a web site registered with the IPO information of the listed company as well as the IPO information, and check the current value of the listed company through the stock information of the listed company registered on the web site.

According to an embodiment, the processor compares the current value of the first unlisted company with the current value of the listed company to determine whether the current value of the first unlisted company is appropriate compared to the current value of the listed company. can

More precisely, the processor may determine whether the current value of the first unlisted company is appropriate compared to the current value of the listed company, based on the level of interest of the first unlisted company. At this time, the processor checks which range of the pre-stored interest level table includes the level of interest of the first unlisted company, and applies an expected amount corresponding to the range included to the current value of the first unlisted company. can do. Since the level of interest is a value related to the public's level of interest and expectations for the first unlisted company, it can serve as an essential component in determining the value of the first unlisted company.

In relation to the above, the processor may compare the current value of the first unlisted company to which the expected amount is applied and the current value of the at least one listed company (eg, the final average issue price of FIG. 3 ). At this time, the processor subtracts the present value of the listed company from the present value of the first unlisted company when the present value of the first unlisted company to which the expected amount is applied is greater than the present value of the at least one listed company The average value of the values is calculated, and the calculated average value is again subtracted from the present value of the first unlisted company to determine the expected issue price per share and the expected number of allocated shares for the stock issue of the first unlisted company. can be calculated.

Conversely, when the present value of the first unlisted company to which the expected amount is applied is smaller than the present value of the listed company, the processor subtracts the present value of the first unlisted company from the present value of the listed company as an average value. , and the calculated average value is added to the current value of the first unlisted company to calculate the final value for determining the expected issue price per share and the expected number of allocated shares for the stock issue of the first unlisted company.

According to one embodiment, when the calculation of the final value is completed, based on the final value of the first unlisted company, the processor may determine the expected number of shares allocated to the stock issue of the first unlisted company and the expected issue price per share. there is.

In more detail, when the calculation of the final value is completed, the processor checks the number of issued shares for the stock issue of the first unlisted company based on the company information, and based on the confirmed number of issued shares and the final value, An estimated issue price per share of the first unlisted company may be obtained. When the acquisition of the expected issue price per share is completed, the processor calculates the expected number of shares allocated to the investment amount based on the expected issue price per share through a pre-stored allocation algorithm, thereby determining the expected number of allocated shares and the expected issue price per share.

According to one embodiment, the processor may perform the investment attractiveness calculation step (step S505) when the value determination step (step S503) is completed.

According to an embodiment, when the determination of the number of allocated shares and the issue price of the first unlisted company is completed, the processor calculates the valuation score, business monopoly power score, and financial stability of the first unlisted company based on a pre-stored investment attractiveness algorithm. An investment attractiveness score of the first unlisted company may be calculated by obtaining a score, a profit growth potential score, and a cash generating ability score. At this time, the processor obtains a valuation score, a business monopoly power score, a financial stability score, a profit growth potential score, and a cash generating ability score of the first unlisted company by utilizing company information and technology value evaluation information of the first unlisted company. and calculate the investment attractiveness score, which is the average value of the obtained valuation score, business exclusivity score, financial stability score, earnings growth score, and cash generation score.

6 is a diagram for explaining an investment attractiveness providing unit of an apparatus for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 6 , an apparatus for extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors includes an investment attractiveness providing unit 601 (eg, performing the same function as the investment attractiveness providing step of FIG. 1).

According to an embodiment, the investment attractiveness providing unit 601 is a comparison algorithm 601a (eg, the previously stored comparison algorithm of FIG. 5) and an investment attractiveness algorithm 601b (eg, the previously stored investment attractiveness of FIG. 5). Algorithm), it is possible to determine the expected number of shares allocated to the stock issue of the first unlisted company and the expected issue price per share, and to obtain an investment attractiveness score of the first unlisted company.

According to an embodiment, the investment attractiveness provider 601 performs a value comparison process, which is a process for calculating the value of the first unlisted company, based on company information and technology value evaluation information of the first unlisted company. can do. At this time, the processor may use a pre-stored comparison algorithm 601a when performing the value comparison process.

In relation to the above, the investment attractiveness providing unit 601 analyzes the company information and technology value evaluation information of the first unlisted company based on the pre-stored comparison algorithm 601a, A value (eg a second value) may be calculated. In more detail, the investment attractiveness provider 601 analyzes the company information and technology value evaluation information of the first unlisted company based on the pre-stored comparison algorithm 601a, and the cash flow of the first unlisted company. can confirm. At this time, the processor may predict cash flow that the first unlisted company will earn in the future through a valuation method called discounted cash flow (DCF).

According to an embodiment, the investment attractiveness providing unit 601 analyzes company information and technology value evaluation information of the first unlisted company, predicts future business conditions of the first unlisted company, and estimates profit and loss reflecting investment plans. You can create a statement and calculate your net cash flow based on it.

According to an embodiment, the investment attractiveness providing unit 601 may determine a discount rate for converting the calculated net cash flow of the first unlisted company into a present value, and among the investment funds of the first unlisted company, the branch capital may be determined. The cost of capital corresponding to the portion is calculated through the Capital Asset Pricing Model (CAPM), etc., and the external borrowing portion is composed of equity capital and debt capital by calculating the cost of debt after tax considering the tax reduction effect of interest expenses on the procurement cost Depending on the ratio, a weighted average cost of capital can be calculated.

According to an embodiment, since the investment attractiveness providing unit 601 cannot estimate the cash flow of the future business of the first unlisted company indefinitely when calculating the cost of capital, the residual after a certain period of estimation year As for residual value, the company value as of the end of the estimated year can be calculated and calculated as the current value of the first unlisted company.

Accordingly, the investment attractiveness providing unit 601 determines sales, operating expenses, operating profit, corporate tax expenses, after-tax operating profit, and depreciation of the first unlisted company through company information and technology value evaluation information of the first unlisted company. The growth rate and operating value of the first unlisted company can be confirmed by calculating the present value of the first unlisted company by checking amortization, operating cash flow, investment amount, net working capital, and free cash flow.

According to an embodiment, the investment attractiveness providing unit 601, based on the pre-stored comparison algorithm 601a, when the calculation of the current value of the first unlisted company is completed, through the IPO information of the listed company. The current value of the listed company (eg, number of listed shares, current price per share, and market capitalization) can be confirmed. In addition, the processor may connect to a web site registered with the IPO information of the listed company as well as the IPO information, and check the current value of the listed company through the stock information of the listed company registered on the web site.

According to an embodiment, the investment attractiveness provider 601 compares the current value of the first unlisted company with the current value of the listed company, and compares the current value of the first unlisted company to the current value of the listed company. can be judged whether it is appropriate or not.

More precisely, in order to perform the function, the investment attractiveness providing unit 601 includes the level of interest of the first unlisted company (for example, the level of interest 401c of FIG. 4) in a certain range of a pre-stored level of interest table. , and the expected amount corresponding to the included range may be applied to the present value of the first unlisted company. Since the level of interest is a value related to the public's level of interest and expectations for the first unlisted company, it can serve as an essential component in determining the value of the first unlisted company.

In relation to the above, the investment attractiveness providing unit 601 may compare the current value of the first unlisted company and the current value of the listed company to which the expected amount is applied. At this time, if the present value of the first unlisted company to which the expected amount is applied is greater than the current value of the listed company, the investment attractiveness providing unit 601 calculates the current value of the listed company from the current value of the first unlisted company. Calculating the average value of the value subtracted, and subtracting the calculated average value from the current value of the first unlisted company to determine the expected issue price per share and the expected number of allocated shares for the stock issue of the first unlisted company final value can be calculated.

According to an embodiment, the investment attractiveness providing unit 601, when the calculation of the final value is completed, based on the final value of the first unlisted company, is expected per share for the stock issue of the first unlisted company. The number of shares allocated and the expected issue price per share can be determined.

According to an embodiment, the investment attractiveness providing unit 601 uses the pre-stored investment attractiveness algorithm 601b when the determination of the expected number of allocated shares and the expected issue price per share for the stock issue of the first unlisted company is completed. Based on this, it is possible to calculate the investment attractiveness score of the first unlisted company by obtaining a valuation score, a business monopoly power score, a financial stability score, a profit growth potential score, and a cash generating ability score of the first unlisted company. Refer to FIG. 7 for a detailed description of how the investment attractiveness providing unit 601 calculates the investment attractiveness score based on the previously stored investment attractiveness algorithm 601b.

7 is another diagram for explaining an investment attractiveness providing unit of an apparatus for extracting and registering stock items of unlisted companies according to an embodiment of the present invention.

Referring to FIG. 7 , an apparatus for extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors includes an investment attractiveness providing unit 701 (eg, performing the same function as the investment attractiveness providing step of FIG. 1).

According to an embodiment, the investment attractiveness provider 701 determines the valuation score, business monopoly power score, and financial stability of the first unlisted company through an investment attractiveness algorithm (eg, the previously stored investment attractiveness algorithm of FIG. 5). points, earnings growth points, and cash-generating power points. When the acquisition of the first unlisted company's valuation score, business monopoly power score, financial stability score, earnings growth potential score, and cash generating ability score of the first unlisted company is completed, the investment attractiveness providing unit 701 obtains a valuation score of the first unlisted company , the investment attractiveness score of the first unlisted company, which is the average value of the business monopoly power score, financial stability score, earnings growth potential score, and cash generating ability score, can be calculated.

According to an embodiment, when the calculation of the investment attractiveness score is completed, the investment attractiveness provider 701 stores the number of shares allocated to the stock item of the first unlisted company and the issue price in the stock database of the first unlisted company. and investment attractiveness scores may be stored. The investment attractiveness providing unit 701 may enable trading of stock items of the first non-investor company by registering the stock database in the exchange server. That is, the stock database may have a structure in which data enabling trading of stocks of the first unlisted company in an unlisted state are stored.

According to an embodiment, the investment attractiveness providing unit 701 may acquire a cash generating ability (EV/EBITDA) score through the investment attractiveness algorithm. The investment attractiveness providing unit 701 analyzes the company information and technology value evaluation information of the first unlisted company through the investment attractiveness algorithm, and calculates the market value (EV: market capitalization + net debt) of the first unlisted company. In the case of obtaining the result value divided by earnings before tax and depreciation (EBITDA: net profit + depreciation), the obtained result value is selected from among the previously stored cash generating capacity score table (table table in which scores assigned according to a plurality of ranges are matched). A score corresponding to the identified range may be obtained as a cash generating ability score by checking which range is included.

According to an embodiment, the investment attractiveness providing unit 701 may obtain a score for profit stability through the investment attractiveness algorithm. The investment attractiveness providing unit 701 may obtain the earnings safety score by analyzing company information and technology value evaluation information of the first unlisted company through the investment attractiveness algorithm.

According to an embodiment, the investment attractiveness providing unit 701 calculates the sales growth rate of the first unlisted company ((this year's sales - previous year's sales) / previous year's sales x 100), total asset growth rate (( Total assets of this year - Total assets of the previous year) / Total assets of the previous year x 100) and Net income growth rate ((Net income of this year - Net income of the previous year) / Net income of the previous year x 100). The investment attractiveness provider 701 checks which range of the previously stored earnings stability score table (a table corresponding to scores designated according to a plurality of ratio ranges) the obtained elapsed value is included in, and the identified range A score corresponding to can be obtained as a profit stability score. At this time, the earnings stability score is divided into a plurality of categories, and the ratio ranges and scores in the earnings stability score table are also classified for each category (eg, sales growth rate category, total asset growth rate category, net profit growth rate category). it would be natural

According to an embodiment, the investment attractiveness providing unit 701 may obtain a financial safety score through the investment attractiveness algorithm. The investment attractiveness providing unit 701 may obtain the financial safety score by analyzing company information and technology value evaluation information of the first unlisted company through the investment attractiveness algorithm.

According to an embodiment, the investment attractiveness provider 701 calculates the current ratio of the first unlisted company ((current assets/current liabilities) x 100), quick ratio (((current assets- Inventories)/current liabilities) x 100), debt ratio ((debt/equity capital) x 100), equity capital ratio ((equity capital/total assets) x 100), and interest coverage ratio ((net income before interest deposit/interest) A result value based on at least one of cost) x 100) may be obtained. The investment attractiveness providing unit 701 checks which range of the previously stored financial stability score table (a table corresponding to scores designated according to a plurality of ratio ranges) the obtained result value is included in, and the identified range A score corresponding to can be obtained as a financial stability score. At this time, the financial stability score is classified into a plurality of categories, and the ratio ranges and scores in the financial stability score table are also for each category (eg, current ratio category, quick ratio category, debt ratio category, equity capital ratio) It would be natural to be divided by category, interest coverage ratio category).

According to an embodiment, the investment attractiveness providing unit 701, when acquisition of the valuation score, business monopoly power score, financial stability score, profit growth potential score, and cash generating ability score of the first unlisted company is completed, provides the first unlisted company The investment attractiveness score for can be calculated. The investment attractiveness score may be an average value of a valuation score, a business monopoly score, a financial stability score, a profit growth score, and a cash generating ability score.

According to an embodiment, when the acquisition of the investment attractiveness score is completed, the investment attractiveness providing unit 701 stores the number of shares allocated to the stock issue of the first unlisted company, the issue price, and the investment attractiveness score in the stock database. It is possible to provide an interface screen 701a enabling trading of stock items of the first unlisted company by storing and registering the stock database in the exchange server. At this time, the investment attractiveness providing unit 701 may provide the user account with an investment attractiveness score for the stock issue of the unlisted company.

According to another embodiment, when the investment attractiveness providing unit 701 provides the investment attractiveness score of the unlisted company to the user account, the investment attractiveness score of the listed company compared with the first unlisted company may also be provided. can That is, the investment attractiveness providing unit 701 provides the user account with the investment attractiveness score of the listed company compared to the first unlisted company, so that the stock issue of the first unlisted company is the stock of the listed company. It can be notified whether it is overvalued or undervalued compared to the item.

8 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

8 illustrates an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, descriptions of unnecessary embodiments overlapping with those of FIGS. 1 to 7 will be omitted. do it with

As shown in FIG. 8, the computing device 10000 includes at least one processor 11100, memory 11200, peripheral interface 11300, input/output subsystem ( It may include at least an I/O subsystem (11400), a power circuit (11500), and a communication circuit (11600). In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, high-speed random access memory, magnetic disk, SRAM, DRAM, ROM, flash memory, or non-volatile memory. there is. The memory 11200 may include a software module, a command set, or other various data necessary for the operation of the computing device 10000.

In this case, access to the memory 11200 from other components, such as the processor 11100 or the peripheral device interface 11300, may be controlled by the processor 11100.

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute various functions for the computing device 10000 and process data by executing software modules or command sets stored in the memory 11200 .

Input/output subsystem 11400 can couple various input/output peripherals to peripheral interface 11300. For example, the input/output subsystem 11400 may include a controller for coupling a peripheral device such as a monitor, keyboard, mouse, printer, or touch screen or sensor to the peripheral interface 11300 as needed. According to another aspect, input/output peripherals may be coupled to the peripheral interface 11300 without going through the input/output subsystem 11400.

The power circuit 11500 may supply power to all or some of the terminal's components. For example, power circuit 11500 may include a power management system, one or more power sources such as a battery or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator or power It may contain any other components for creation, management and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, the communication circuit 11600 may include an RF circuit and transmit/receive an RF signal, also known as an electromagnetic signal, to enable communication with another computing device.

The embodiment of FIG. 8 is only an example of the computing device 10000, and the computing device 11000 may omit some of the components shown in FIG. 8, further include additional components not shown in FIG. It may have a configuration or arrangement combining two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented as hardware including one or more signal processing or application-specific integrated circuits, software, or a combination of both hardware and software.

Methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in computer readable media. In particular, the program according to the present embodiment may be configured as a PC-based program or a mobile terminal-only application. An application to which the present invention is applied may be installed in a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of a user terminal.

The device described above may be implemented as a hardware component, a software component, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or to provide instructions or data to a processing device. may be permanently or temporarily embodied in Software may be distributed on networked computing devices and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or the components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved. Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (9)

A method of extracting and registering stock items of an unlisted company implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors, the method comprising:
Extraction process of starting an item extraction process by creating a stock database of the first unlisted company based on the received company information when receiving company information on a first unlisted company among a plurality of unlisted companies from a user account. start-up phase;
When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection step of selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and
A value comparison process of analyzing initial public offering (IPO) information of the at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. to determine the expected issue price per share and the expected number of allocated shares for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and compare the determined investment attractiveness to the user A method of extracting and registering stock items of unlisted companies, comprising the step of providing an investment attractiveness provided to an account.
According to claim 1,
The company information is
As financial statement information of the first unlisted company, sales of the first unlisted company, operating profit of the first unlisted company, net profit of the first unlisted company, and debt of the first unlisted company at the beginning of the extraction process A method of extracting and registering stock items of unlisted companies, characterized in that the information for confirming the ratio.
According to claim 2,
The preset selection conditions are,
Selecting condition information for selecting a listed company to be compared with the first unlisted company among a plurality of listed companies, extracting stock items of unlisted companies, characterized in that they include operating profit selection conditions, sales selection conditions, and interest selection conditions. and how to register.
According to claim 3,
In the step of selecting the listed company,
As the item extraction process starts, when the technology value evaluation information is received, the amount allocated to the patents held by the first unlisted company and the patents held by the first unlisted company through the received technology value evaluation information Step of verifying technical value; and
When the function of the technology value confirmation step is completed, the company information and the technology value evaluation information are analyzed based on the predetermined selection conditions, and the value comparison process among a plurality of listed companies is performed based on the analysis result. Selecting the listed company to be compared with the first unlisted company, selecting a listed company having a theme corresponding to the first unlisted company, and receiving IPO information of the selected listed company from the outside. A method for extracting and registering stock items of unlisted companies comprising a; step.
According to claim 4,
The step of receiving the IPO information,
When selecting a listed company based on the interest level selection condition among the preset selection conditions, content based on the first unlisted company is searched online, and the retrieved content is analyzed through a pre-stored sentiment analysis algorithm to determine the level of interest in the first unlisted company. A method of extracting and registering a stock item of an unlisted company, characterized in that by obtaining a numerical value and selecting the listed corporation by reflecting the acquired interest level value when selecting the listed corporation.
According to claim 5,
The step of providing the investment attractiveness,
When the IPO information of the listed company is received, based on the received IPO information, the listed company information confirming the financial statements, the number of listed stocks, the number of stocks owned by general shareholders, the number of general shareholders, and management performance of the listed company is confirmed. step;
When the confirmation of the IPO information of the listed company is completed due to the function performance of the listed company information confirmation step, based on the pre-stored comparison algorithm, the company information and technology value evaluation information of the first unlisted company and the IPO of the listed company a value determination step of comparing information and determining an expected number of allocated shares and an expected issue price per share for the stock issue of the first unlisted company; and
When the expected number of allocated shares and the expected issue price per share are determined due to the performance of the function of determining the value, the first unlisted company's valuation score, business monopoly power score, based on the previously stored investment attractiveness algorithm An investment attractiveness calculation step of calculating an investment attractiveness score of the first unlisted company by obtaining a financial stability score, a profit growth potential score, and a cash generating ability score; extracting and registering stock items of an unlisted company, comprising: How to.
According to claim 6,
The step of providing the investment attractiveness,
When the function of calculating investment attractiveness is completed, the expected number of allocated shares for the stock issue of the first unlisted company, the expected issue price per share, and the investment attractiveness score are stored in the stock database, and the stock database is converted to an exchange. A method for extracting and registering stock items of an unlisted company, characterized in that by registering in a server, enabling trading of stock items of the first unlisted company.
An apparatus for extracting and registering stock items of unlisted companies implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors,
Extraction process of starting an item extraction process by creating a stock database of the first unlisted company based on the received company information when receiving company information on a first unlisted company among a plurality of unlisted companies from a user account. beginning;
When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection unit for selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and
A value comparison process of analyzing initial public offering (IPO) information of the at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. , to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and compare the determined investment attractiveness to the user An apparatus for extracting and registering stock items of unlisted companies comprising a; investment attractiveness provision unit provided to the account.
As a computer-readable recording medium,
The computer-readable recording medium stores instructions for causing a computing device to perform the following steps, which include;
Extraction process of starting an item extraction process by creating a stock database of the first unlisted company based on the received company information when receiving company information on a first unlisted company among a plurality of unlisted companies from a user account. start-up phase;
When the item extraction process starts, the technology value evaluation information of the first unlisted company is received from an external technology value evaluation database, and the company information and the technology value evaluation information are analyzed based on predetermined selection conditions. a listed company selection step of selecting at least one listed company to be compared with the first unlisted company through the analysis result value; and
A value comparison process of analyzing initial public offering (IPO) information of the selected at least one listed company and company information and technology value evaluation information of the first unlisted company in a state in which the selection of the at least one listed company is completed. , to determine the expected number of allocated shares and the expected issue price per share for stocks of the first unlisted company, determine the investment attractiveness of the stocks of the first unlisted company, and compare the determined investment attractiveness to the user A computer-readable recording medium comprising the steps of providing investment attractiveness provided to an account.

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