KR100363774B1 - System for supplying investment information having reliable decision and method thereof - Google Patents

Abstract

Disclosed are an investment information providing method and a system for providing investment information with easy reliability determination. In accordance with an aspect of the present invention, there is provided a method of providing investment information, which is easy to determine reliability, in step (a) of storing investment information provided from information providers and investment status as recommendation information and market information, respectively, using the recommendation information and market information (B) storing the average rate of return generated by each of the providers as an evaluation result for evaluating each of the information providers, and when the information user is connected, the evaluation result of the information provider who provided the recommendation information and the recommendation information to the information user. It is characterized by consisting of the step (c) provided together. In addition, the investment information providing system according to the present invention stores the information management database and the investment information and investment market in the information management database as recommendation information and market information, respectively, and provide information providers using the stored recommendation information and market information. Provides investment information that stores the average return rate generated by each user in the information management database as an evaluation result for evaluating the information providers, and provides the recommendation information and the evaluation result of the information provider who provided the recommendation information to the information user computers. It includes a server. Therefore, the information user can easily determine the reliability of the information provider through the evaluation result of the information provider, and can make a more stable investment by using information of the information provider determined to have high reliability.

Description

System for supplying investment information having reliable decision and method

The present invention relates to a method for providing investment information using the Internet, and more particularly, to a method and system for providing investment information for providing more reliable investment information to a user.

The Internet, developed for military purposes in the United States, is used as a key social change tool that transforms the existing industrial society into an information society, that is, the paradigm of society. The Internet is used for various purposes such as electronic mail, newsgroups, file transfer, information transmission, and information retrieval, and is recognized as an efficient information storage medium and information providing medium. In particular, in recent years, the commercial use of the Internet is rapidly spreading through electronic commerce using the Internet.

For example, in the securities sector, securities transactions over the Internet have grown to reach 50% of total securities transactions in a short period of time. In other words, due to the spread of the Internet, securities trading by individual investors is being activated, and the demand for securities information for enhancing the competitiveness of individual investors in the securities market is increasing. Due to the increased demand for securities information, information providing sites that provide securities information using the Internet are rapidly increasing, and the proliferation of such information providing sites causes flooding of valuable information, thereby effectively providing information that users need. It is making the search difficult.

In addition, there is no evaluation and responsibility for whether or not the securities information provided through the securities information providing site has helped the information user, so that even if irresponsible information is distributed, sanctions cannot be imposed. And the information user must bear the financial loss which can be caused to the information user by such irresponsible information.

As a result, information users who use the information provided through the Internet, in particular in the case of information necessary for investing money of information users such as securities information, require more reliable investment information to be provided.

An object of the present invention is to provide an investment information providing method that allows an information user to easily determine the reliability of the investment information provided through the Internet.

Another object of the present invention is to provide an investment information providing system that can easily determine the reliability of performing the investment information providing method.

Another object of the present invention is to provide a recording medium in which the method for providing investment information with which the reliability can be easily determined is recorded as a program code executable by a computer.

1 is a view schematically showing an embodiment of an investment information providing system for providing investment information with easy reliability determination according to the present invention.

2A to 2C are diagrams showing data stored in the information management database 30 by the investment information providing server 20 and their formats.

3 is a flowchart illustrating an embodiment of a method for providing investment information performed in the investment information providing server 20 shown in FIG. 1 according to the present invention.

One aspect of the present invention for achieving the above object is a method implemented on a computer system for providing the recommendation information requested via the Internet network to the information user's computer, (a) from the computer of the information provider via the Internet network The recommendation information including the recommendation date, the recommendation price, the item recommendation exclusion date, and the item recommendation exclusion price is applied to a predetermined information management algorithm implemented by a computer program and stored in the recommendation information database of the computer system. step; (b) receiving real market information corresponding to the recommendation information through the Internet network, applying the information to the information management algorithm, and inputting the information into the market information database of the computer system; (c) a mathematical relationship depicting a model for calculating an average rate of return for a predetermined period of time for said information provider, wherein said recommendation information and said actual market information include a rate calculation algorithm implemented with a computer program stored in said computer system. Applied to and executed; (d) including a mathematical relationship for describing a model for calculating a trend prediction hit degree of the information provider, and excluding a recommendation of an item excluded from the recommendation information by a hit calculation algorithm implemented by a computer program stored in the computer system; Applying to the recommendation price on the day following the recommendation date of the excluded item; (e) applying and executing the information management algorithm to the recommendation information of the information provider to calculate the number of recommended information of the information provider; (f) applying and executing the information management algorithm to the recommendation information provided to the information user to calculate the number of inquiries about the recommendation information provided to the information user through the Internet network; And (g) an average rate of return of the information provider calculated by the execution of the yield calculation algorithm, a trend prediction hit degree of the information provider calculated by the execution of the hit calculation algorithm, and an information provider of the information provider calculated by the execution of the information management algorithm. And applying the number of recommendation information, the number of inquiry of recommendation information, and the recommendation information to the information management algorithm to create a page of a predetermined form, and providing the created page to the computer of the information user.

Another aspect of the present invention for achieving the above another object is a computer system for providing the requested information to the information user's computer via the Internet network, including a recommendation date, recommendation price, item recommendation exclusion and item recommendation exclusion date To store the recommendation information, the average return rate of the information provider providing the recommendation information, the trend prediction hit, the information in the actual market corresponding to the recommendation information, the number of inquiry of the recommendation information, and the number of recommendation information of the information provider. Information management database; A computer program implementing an information management algorithm including a mathematical relationship for describing the recommendation information, the actual market information, and a model for managing information provided to the information user, the information provider connected via the Internet network The recommendation information and the actual market information provided from the computers are input into the information management database and stored, and the recommendation information after a predetermined period of time is deleted from the information management database, and the average yield and the trend prediction hit rating are calculated. Search and output the recommendation information and actual market information for the information management database, the recommendation information requested from the information user, the number of inquiry of the recommendation information, the number of recommendation information of the information provider providing the recommendation information, the average rate of return And trend forecast hit rates After applied with the algorithm, creating the management information of a type of the page, the information managing means for providing the generated information to the page information of the computer user; And a computer program implementing a yield calculation algorithm comprising a mathematical relationship describing a model for calculating an average yield of said information provider, said yield calculation algorithm being applied to recommendation information and actual market information output from said information management means. A yield calculation means for calculating an average yield of the information provider and storing the calculated average yield in the information management database; And a computer program implementing a hit calculation algorithm including a mathematical relationship depicting a model for calculating a trend predicted hit rating of the information provider, wherein the hit calculation algorithm is output from the information management means and the recommendation information and the actual market. And a hit calculation unit for applying the information to calculate the trend prediction hit degree of the information provider and storing the calculated trend prediction hit degree in the information management database. Here, the recommendation information for calculating the trend prediction hit degree is the recommendation exclusion price of the item excluded from the recommendation, and the actual market information for calculating the trend prediction hit degree is the day after the recommendation day of the item in which the item recommendation exclusion date has passed. It is recommended.

Another aspect of the present invention for achieving the above another object is a computer-readable recording medium recording a method implemented on a computer system to provide the information user's computer with the requested information requested via the Internet network, (a) applying the recommendation information provided from a computer of an information provider through the Internet network, including recommendation date, recommendation price, item recommendation exclusion date, and item recommendation exclusion price, to a predetermined information management algorithm implemented by a computer program; Inputting and storing the recommendation information database of the computer system; (b) receiving real market information corresponding to the recommendation information through the Internet network, applying the information to the information management algorithm, and inputting the information into the market information database of the computer system; (c) a mathematical relationship depicting a model for calculating an average rate of return for a predetermined period of time for said information provider, wherein said recommendation information and said actual market information include a rate calculation algorithm implemented with a computer program stored in said computer system. Applied to and executed; (d) including a mathematical relationship for describing a model for calculating a trend prediction hit degree of the information provider, and excluding a recommendation of an item excluded from the recommendation information by a hit calculation algorithm implemented by a computer program stored in the computer system; Applying to the recommendation price on the day following the recommendation date of the excluded item; (e) applying and executing the information management algorithm to the recommendation information of the information provider to calculate the number of recommended information of the information provider; (f) applying and executing the information management algorithm to the recommendation information provided to the information user to calculate the number of inquiries about the recommendation information provided to the information user through the Internet network; And (g) an average rate of return of the information provider calculated by the execution of the yield calculation algorithm, a trend prediction hit degree of the information provider calculated by the execution of the hit calculation algorithm, and an information provider of the information provider calculated by the execution of the information management algorithm. Investment information characterized in that it comprises a number of recommendation information, inquiry number of recommendation information and the recommendation information to the information management algorithm to create a page of a predetermined form and provide the created page to the computer of the information user. Record the delivery method as program code executable on the computer.

Hereinafter, with reference to the accompanying drawings, a method and a system for providing investment information for providing investment information with easy reliability determination according to the present invention will be described as follows.

1 is a view schematically showing an embodiment of an investment information providing system for providing investment information with easy reliability determination according to the present invention. The investment information providing system according to the present invention includes information user computers 10 and 12, information provider computers 14 and 16, an internet network 18, a mail server 40, an investment information providing server 20 and information. It is configured to include a management database (30). For convenience of explanation, an embodiment of the investment information providing system shown in FIG. 1 is assumed to be an investment information providing system providing stock investment information.

Referring to FIG. 1, information providers may access an investment information providing server 20 connected to an internet network 18 using information provider computers 14 and 16. When the information providers are connected to the investment information providing server 20, the information providers provide recommendation information about the stocks that they recommend. At this time, the information providers provide information including recommendation items, recommendation contents, recommendation prices, recommendation exclusion dates, recommendation exclusion prices, and the like as recommendation information. Here, the recommendation price is the number of purchases of stocks, and the recommendation exclusion date is an exclusion day excluding an item recommended by the information provider itself, and the recommendation exclusion price represents the selling average price of the next business day excluding the recommendation.

The investment information providing server 20 makes the information management data by making a database of recommendation information and daily stock market information (ie, actual market information) provided from the information provider computers 14 and 16 connected through the Internet network 18. The base 30 is stored. The investment information providing server 20 calculates the number of recommended information of the information provider and the number of inquiry of the information user for each recommendation information and stores the information in the information management database 30. In addition, the investment information providing server 20 evaluates the information providers using recommendation information of the information provider and the daily stock market information stored in the information management database 30, and evaluates the evaluation result in the information management database 30. Save it. Here, the evaluation of the information providers may be made up of various items. For example, when the stock investment is made according to the information provider's recommendation information, the information providers may be evaluated by items such as an average yield generated during a predetermined period or a trend prediction hit rating of the information provider. On the other hand, the investment information providing server 20 also stores the number of inquiry of the information users for each recommendation information in the information management database 30. The investment information providing server 20 includes an information management unit 22, an average yield calculation unit 24, and a hit degree calculation unit 26. Here, each of the information manager 22, the average yield calculator 24, and the hit calculator 26 are stored in a computer, and the computer program itself or the computer implemented with a mathematical algorithm for performing the investment information providing method according to the present invention. In detail, the information management unit 22 manages the recommendation information provided from the information providers' computers 14 and 16, the daily stock market information, and the information provided to the information user. A computer program is implemented that implements an information management algorithm including a mathematical relationship describing a model. The information management unit 22 applies recommendation information and daily stock market information provided from an information provider connected to the investment information providing server 20 through the Internet network 18 to an information management algorithm in a predetermined format. The information management database 30 is stored. Then, the information management unit 22 applies the recommendation information related data stored in the information management database 30 to the information management algorithm to calculate the number of recommended information of the information provider and stores it in the information management database 30. In addition, the information management unit 22 recommends information requested from information user computers 10 and 12 connected to the investment information providing server 20, the number of inquiry of the recommendation information, and the average rate of return of the information provider who provided the recommendation information. , The trend prediction hit degree, the number of recommended information, and the like are applied to the information management algorithm to create an information page of a predetermined type and display it on the computers 10 and 12. Here, the information page records the number of views of the recommendation information, the average return rate of the information provider who provided the recommendation information, the trend prediction hit rate, and the number of recommendation information so that the information user can confirm the reliability of the recommendation information. In addition, the information management algorithm of the information management unit 22 calculates the inquiry count of the recommended information and stores it in the information management database 30. On the other hand, in order to calculate the average yield and / or the trend prediction hit, the information management unit 22 applies the information management algorithm to a predetermined condition by executing a specific period unit to search the information management database 30, the retrieved information Is provided to the average yield calculator 24 and / or hit calculator 26. At this time, the information management algorithm checks the recommendation date of the information, the date of recommendation exclusion, and the like, and deletes the recommendation information that has passed a predetermined period from the information management database 30. The average return rate calculation section 24 provides information provider A computer program that implements a yield calculation algorithm that includes a mathematical relationship depicting a model for calculating a mean yield over a predetermined time period. When calculating the average yield, the average yield calculator 24 applies a yield calculation algorithm to the recommendation information and daily stock market information provided from the information management unit 22, so that the long-term and short-term averages of the information provider for a predetermined period of time. A yield rate and the like are calculated and stored for each information provider in the information management database 30. The hit rating calculator 26 calculates a hit rating including a mathematical relationship for describing a model for calculating a trend prediction hit rating for each information provider. A computer program implementing the algorithm is provided. The hit calculation unit 26 applies the hit calculation algorithm to the recommendation information of the information provider having the item excluded from the recommendation of the previous day among the recommendation information provided from the information management unit 22 and the corresponding daily stock market information. The trend prediction hit degree and recommendation information average retention period are calculated and stored in the information management database 30.

Meanwhile, as shown in FIG. 1, the investment information providing server 20 converts the information management database 30 into the recommendation information database 32, the market information database 34, and the member information database 36. Each can be operated separately. A detailed description of how the investment information providing server 20 operates the information management database 30 will be described later with reference to FIGS. 2A to 2C.

Information users can access the investment information providing server 20 connected to the Internet network 18 using the information user computers 10 and 12. As such, when the information users are connected to the investment information providing server 20, the investment information providing server 20 runs the computer program of the information management unit 22 and sends the information management algorithm to the information providers together with the recommendation information of the information providers. Information pages created by applying various evaluation results, the number of recommended information, the number of inquiry of the recommended information, etc. are provided to the information user computers 10 and 12. In this case, the information users can know how reliable the information providers are by referring to various evaluation results of the information providers provided to the information user computers 10 and 12. For example, the information users can determine that the information provider with a high average return rate for a predetermined period of time, the information provider recommendation information, the inquiry number, or the information provider with a high trend prediction hit is highly reliable.

In addition, the investment information providing server 20 may provide the information user computers 10 and 12 with the recommendation information provided by the information provider before the evaluation period and the evaluation result thereof. Therefore, the information users can also judge the performance of the information provider during the period not included in the evaluation period.

The mail server 40 provides a mail service between the investment information providing server 20 and information providers or information users.

As described above, the investment information providing system according to the present invention is recommended information from the outside using the investment information providing server 20 having the information management unit 22, the yield calculation unit 24 and the hit calculation unit 26 And information providers are evaluated by receiving daily stock market information, and the evaluation results of each information provider, the number of recommended information, and the number of inquiries of the recommended information are prepared in a form of information page and provided to the information user. Therefore, the information user can easily determine the reliability of the information provider through various evaluation results of the information provider recorded on the information page provided from the investment information providing server 20, and the information of the information provider determined to have high reliability. You can make a more stable investment by using.

Meanwhile, FIG. 1 shows that the information provider and the information user access the investment information providing server 20 using the information provider computers 14 and 16 and the information user computers 10 and 12. However, the information provider and the information user can use the investment information providing server 20 using not only the information provider computers 14 and 16 and the information user computers 10 and 12, but also a personal portable terminal connected to a known wireless Internet network. You can also connect

2A to 2C are diagrams showing data stored in the information management database 30 by the investment information providing server 20 and their formats. FIG. 2A shows the data stored in the recommendation information database 32 and its format, FIG. 2B shows the data stored in the market information database 34 and its format, and FIG. 2C shows the member management database 36. The data stored in and the format are shown respectively.

1 and 2A, the recommendation information database 32 stores recommendation information provided from information providers, dates on which information is provided, recommendation information, and evaluation results of the information provider. Here, the recommendation information includes a recommendation item, a recommendation price, a current price, a recommendation exclusion date, a recommendation exclusion price, and the like. The evaluation results of the information provider include the long-term average yield and the short-term average yield calculated by the yield calculation algorithm of the yield calculator 24, and the trend prediction hit rating and the recommendation calculated by the hit calculation algorithm of the hit calculation calculator 26. Information retention period.

1 and 2B, daily stock market information is stored in a market information database 34. Here, the daily stock market information includes data for identifying the stock trading status, such as securities, daily market price, daily low price, daily high price, daily closing price and daily trading volume, as shown in the format shown in FIG. 2B.

1 and 2C, the member information database 36 stores member information for information on information providers providing the information. Here, the member information stores the information provider name, the information provider recommended items, the number of recommended items, the number of views, the recommendation contents, and the like, as shown in FIG. 2C. In addition, the member information database 36 may database information about information users as well as information users who use the information.

The investment information providing server 20 may establish an information management database 30 as illustrated in FIGS. 2A to 2C, and search and provide the information management database 30 with information required by information users. have.

3 is an information management algorithm of the information management unit 22, a yield calculation algorithm of the yield calculation unit 24, and a yield calculation unit 26 of the investment information providing server 20 shown in FIG. 1 according to the present invention. A flowchart illustrating an embodiment of an investment information providing method performed by applying an algorithm to information stored in the information management database 30. The investment information providing method according to the present invention stores new recommendation information provided from information providers in the recommendation information database 32 and the member information database 36, and stores the daily market situation in the daily market database 34. The step (step 100), the step of evaluating the information provider (step 120) and the step of providing an evaluation result of evaluating the information provider to the connected information user (step 140).

1 and 3, the investment information providing server 20 stores the recommendation information and the daily market conditions provided from the information providers in the recommendation information database 32 and the market information database 34 in real time ( Step 100). More specifically, the information management unit 22 of the investment information providing server 20 searches in real time whether new recommendation information is provided from the information providers, and the newly provided recommendation information is stored in the recommendation information database 32 in FIG. 2A. The information is stored in the member information database 36, which is stored as shown in the data format and provided with new recommendation information (step 102). In addition, the information manager 22 stores the real-time market data for each item formed in the stock market in the market information database 34 as shown in FIG. 2B (step 104).

After step 100, the average yield calculator 24 of the investment information providing server 20 evaluates the reliability of the information provider using the information provided from the information manager 22, and compares the evaluated result with the recommendation information database ( 32). In more detail, the information manager 22 If the predetermined time has elapsed, the recommendation information is searched in the recommendation information database 32 (step 110), and it is determined whether there is information recommended in the searched recommendation information 6 months ago (step 150). In step 150, when it is determined that there is information recommended six months ago, the information manager 22 deletes the information recommended six months before the yield calculation date from the recommendation information database 32 (step 155). step). Subsequently, the information manager 22 provides the unremoved recommendation information and the stock market information corresponding to the recommendation information to the average yield calculator 24. In this case, the average yield calculator 24 calculates a yield calculation algorithm. Is applied to the information provided from the information management unit 22 and executed. At this time, the average yield calculator 24 calculates the yield for 6 months as the long-term average yield of the information provider (step 160), and stores the calculated long-term average yield in the recommendation information database 32. Here, the long-term average rate of return is the average of the rate of return for the last six months for the recommendation information provided by the information provider. At this time, the limit to 6 months is taken into consideration in consideration of the capacity of the recommendation information database 32, and the period for obtaining the long-term average rate of return according to the capacity of the recommendation information database 32 may be appropriately set.

After operation 160, the information manager 22 determines whether there is recommendation information that is recommended within one month from the date of calculating the yield among the recommendation information retrieved in operation 110 (operation 165). In step 165, if it is determined that there is information recommended within the last one month, the information manager 22 provides the average yield calculator 24 with the recommended information and the corresponding stock market information within the last month. . At this time, the yield calculation section 24 applies the yield calculation algorithm to the recommendation information provided from the information management section 22 and executes the calculation, thereby obtaining the short term average yield (step 170), and calculating the obtained short term average yield. 32). Here, the short-term average yield is to reflect the recent performance of the information provider, the period for obtaining the short-term average yield may also be appropriately varied. On the other hand, when calculating the long-term or short-term average rate of return, the information provider's recommendation price or recommendation exclusion price is reflected. At this time, both the recommendation price and the recommendation exclusion price are the average price of the next day of the recommendation date and the recommendation exclusion date, and the average price is the average value of the high price and the low price of the day. As such, the reason for the next day of the recommendation date and the recommendation exclusion date is to consider the period of information circulation, that is, the time taken by the information user to use the provided information. Therefore, the information provider cannot make the same day recommendation and the same day exclusion.

On the other hand, if there is no information recommended within one month in step 165 or after step 170, the information management algorithm of the information management unit 22 checks whether there is an item excluded in the previous day in step 110 (step 175). In step 175, if there is an exclusion item for the previous day, the hit calculation calculator 26 applies the hit calculation algorithm to the exclusion price for the exclusion of the exclusion item and the recommendation value for the next day in which the item is recommended, and then the trend prediction hit and recommendation Information average retention periods are calculated (step 180), and stored in the recommendation information database 32. For example, the trend prediction hit degree may be compared with the recommendation price and the recommendation exclusion price to be 100% if the recommendation exclusion price is higher than the recommendation price, and may be 0% if it is down. In addition, when there are many recommendation exclusion items, the average value is stored in the recommendation information database 32 as a trend prediction hit degree. Here, since the trend prediction hit degree is an obvious objective fact, it becomes a basis for determining how accurate the information provider provides the information. By diversifying the evaluation items for the information provider in this way, the reliability of the recommendation information of the information provider can be improved according to the present invention.

In addition, the average retention period of the recommendation information is obtained by calculating the retention period for the corresponding item by calculating the recommendation date and the recommendation exclusion date, and calculating the average of the retention period for each item. Here, the average retention period indicates the investment propensity of the information provider, and the information user can determine the investment intention by following the information provider having a similar propensity. For example, an information user who wants to invest for a short period of time may benefit from using information from an information provider whose average retention period is short term. On the other hand, information users who want to invest for a long time may be advantageous to use recommended information of an information provider whose average retention period is long.

Subsequently, when it is determined in step 120 that there is no item for recommending the previous day or after step 180, the information manager 22 displays the recommendation performance and the number of information views for each information provider. It calculates (step 130) and stores it in the member information database 36. FIG. That is, the information manager 22 applies the information management algorithm to the recommendation information stored in the recommendation information database 32 to calculate the number of recommendation information for each information provider (step 132), and the member information database 36. Store in Here, the number of recommended information is an item that gives the reliability of the evaluation result of the information provider evaluated by the investment information providing server 20. That is, the greater the number of recommended information, the higher the reliability of the evaluation result of the information provider. Subsequently, the information manager 22 calculates an inquiry number for each recommendation information provided by the information provider using the information management algorithm (step 134) and stores the number of inquiry in the member information database 36. Here, the number of inquiries represents the responsiveness of the information user to the quality of the information.

In this state, when the information user's computers 10 and 12 are connected to the investment information providing server 20, the information management unit 22 recommends information provided by the information providers, the trend prediction hit ratings of the information providers, and the average rate of return. Various evaluation results including the search results are searched in the recommendation information database 32, and the information pages of the predetermined form in which the searched information is written are provided and then provided to the information user computers 10 and 12 (step 140). . The information user can easily determine the credibility of the information provider by using the information provider evaluation results provided, and can effectively invest stocks using the recommendation information of the information provider with high credibility. In this case, the investment information providing server 20 may further provide the recommendation information number and / or the inquiry number of the information provider who provided the recommendation information to the information user, thereby improving the reliability of the evaluation result of the information provider.

On the other hand, the above has been described an embodiment in which the investment information providing system and the method easy to determine the reliability according to the present invention is applied to the stock investment. However, in addition to stock investment, an investment information providing system and method for easily determining reliability according to the present invention can be applied when providing all information used for investing money by information users. For example, when providing information such as horse racing information, auction information, real estate information, etc., another investment information providing system and a method for easily determining reliability can be applied to the present invention.

As a result, the information user can easily determine the reliability of the information provided using the evaluation result of the information provider recorded on the page provided from the investment information providing server 20. That is, the information user can make a more stable investment by using the investment information of the information provider which is determined to have high reliability.

Meanwhile, the investment information providing method for easily determining reliability according to the present invention may be programmed and stored in the investment information providing server 20, but may be stored and used in another computer readable recording medium. . The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD_ROM, magnetic tape, floppy disk, optical data storage, and the like, and those implemented in the form of a carrier wave (for example, transmission through the Internet). The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

Although the present invention has been described with reference to one embodiment shown in the drawings, this is merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

As described above, according to the investment information providing method and system for easily determining reliability according to the present invention, the information provider is evaluated by the investment information providing server 20 as an item such as an average return rate, a trend prediction hit rating, and the like. The result is provided to the information consumer. In addition, according to the investment information providing method and system according to the present invention, when providing the recommendation information and the evaluation result to the information user, the investment information providing server 20 will further provide the information user with the number of recommended information of the information provider. Can be. Accordingly, the information user can easily and accurately judge the reliability of the information provider through various evaluation results of the information provider provided from the investment information providing server 20, in particular, the trend prediction hit, and the information of the information provider determined to have high reliability. You can make a more stable investment by using.

Claims (7)

In the method implemented on a computer system to provide the recommendation information requested via the Internet network to the information user's computer, (a) applying the recommendation information provided from a computer of an information provider through the Internet network, including recommendation date, recommendation price, item recommendation exclusion date, and item recommendation exclusion price, to a predetermined information management algorithm implemented by a computer program; Inputting and storing the recommendation information database of the computer system; (b) receiving real market information corresponding to the recommendation information through the Internet network, applying the information to the information management algorithm, and inputting the information into the market information database of the computer system; (c) a mathematical relationship depicting a model for calculating an average rate of return for a predetermined period of time for said information provider, wherein said recommendation information and said actual market information include a rate calculation algorithm implemented with a computer program stored in said computer system. Applied to and executed; (d) including a mathematical relationship for describing a model for calculating a trend prediction hit degree of the information provider, and excluding a recommendation of an item excluded from the recommendation information by a hit calculation algorithm implemented by a computer program stored in the computer system; Applying to the recommendation price on the day following the recommendation date of the excluded item; (e) applying and executing the information management algorithm to the recommendation information of the information provider to calculate the number of recommended information of the information provider; (f) applying and executing the information management algorithm to the recommendation information provided to the information user to calculate the number of inquiries about the recommendation information provided to the information user through the Internet network; And (g) the average return rate of the information provider calculated by the execution of the yield calculation algorithm, the trend prediction hit degree of the information provider calculated by the execution of the hit calculation algorithm, and the recommendation of the information provider calculated by the execution of the information management algorithm. Applying a number of information, inquiry number of recommendation information, and the recommendation information to the information management algorithm to create a predetermined type of page, and providing the created page to the computer of the information user. Investment information providing method comprising the. delete delete delete In the computer system for providing the recommendation information requested via the Internet network to the computer of the information user, The recommendation information including the recommendation date, the recommendation price, the item recommendation exclusion price, and the item recommendation exclusion date, the average return rate of the information provider who provided the recommendation information, the trend prediction hit degree, the information in the actual market corresponding to the recommendation information, the An information management database for storing inquiry count of recommendation information and recommendation information number of the information provider; A computer program implementing an information management algorithm including a mathematical relationship for describing the recommendation information, the actual market information, and a model for managing information provided to the information user, the information provider connected via the Internet network The recommendation information and the actual market information provided from the computers are input into the information management database and stored, and the recommendation information after a predetermined period of time is deleted from the information management database, and the average yield and the trend prediction hit rating are calculated. Search and output the recommendation information and actual market information for the information management database, the recommendation information requested from the information user, the number of inquiry of the recommendation information, the number of recommendation information of the information provider providing the recommendation information, the average rate of return And trend forecast hit rates After applied with the algorithm, creating the management information of a type of the page, the information managing means for providing the generated information to the page information of the computer user; And a computer program implementing a yield calculation algorithm comprising a mathematical relationship describing a model for calculating an average yield of said information provider, said yield calculation algorithm being applied to recommendation information and actual market information output from said information management means. A yield calculation means for calculating an average yield of the information provider and storing the calculated average yield in the information management database; And And a computer program implementing a hit calculation algorithm including a mathematical relationship for describing a model for calculating a trend predicted hit rating of the information provider, wherein the hit calculation algorithm is output from the information management means and recommendation information and actual market information. Calculating a trend prediction hit degree of the information provider by applying to and storing the calculated trend prediction hit degree in the information management database, The recommendation information for calculating the trend prediction hit degree is the recommendation exclusion price of the recommendation excluded item, The actual market information for calculating the trend prediction hit degree is the investment information providing system, characterized in that the recommendation price of the day following the recommendation date of the item that the item recommendation exclusion date has passed. delete A computer readable recording medium recording a method implemented on a computer system for providing recommended information requested through an internet network to a computer of an information user, (a) applying the recommendation information provided from a computer of an information provider through the Internet network, including recommendation date, recommendation price, item recommendation exclusion date, and item recommendation exclusion price, to a predetermined information management algorithm implemented by a computer program; Inputting and storing the recommendation information database of the computer system; (b) receiving real market information corresponding to the recommendation information through the Internet network, applying the information to the information management algorithm, and inputting the information into the market information database of the computer system; (c) a mathematical relationship depicting a model for calculating an average rate of return for a predetermined period of time for said information provider, wherein said recommendation information and said actual market information include a rate calculation algorithm implemented with a computer program stored in said computer system. Applied to and executed; (d) including a mathematical relationship for describing a model for calculating a trend prediction hit degree of the information provider, and excluding a recommendation of an item excluded from the recommendation information by a hit calculation algorithm implemented by a computer program stored in the computer system; Applying to the recommendation price on the day following the recommendation date of the excluded item; (e) applying and executing the information management algorithm to the recommendation information of the information provider to calculate the number of recommended information of the information provider; (f) applying and executing the information management algorithm to the recommendation information provided to the information user to calculate the number of inquiries about the recommendation information provided to the information user through the Internet network; And (g) the average return rate of the information provider calculated by the execution of the yield calculation algorithm, the trend prediction hit degree of the information provider calculated by the execution of the hit calculation algorithm, and the recommendation of the information provider calculated by the execution of the information management algorithm. Applying a number of information, inquiry number of recommendation information, and the recommendation information to the information management algorithm to create a predetermined type of page, and providing the created page to the computer of the information user. Recording medium recording the investment information providing method comprising a program code executable on a computer.