KR100788535B1 - The on-line stock information service system and method of using the stockmaster room and investment group - Google Patents

Abstract

The present invention relates to a system and a method for providing online securities information through a high-loss group and a group. The return rate of a general investor is provided by receiving a buying / selling point of stock items recommended by high-level investors and group members from a plurality of high-loss groups and groups. It is a system to maximize. In addition, to secure the reliability of the leading investors who provide buy / sell points, the general investors can select the true leading investors by classifying them by rating and classifying them into five factors: yield, win rate, number of recommendations, number of gains, and number of stocks. System to ensure that In addition, two-way securities information exchange is possible by allowing general investors to recommend securities stocks within the group, and it is a system that enables voice service for real-time stock recommendation without installing an emulator on the client terminal. .

Adherent Investors, General Investors, Securities Information, Koh Suh, Investment Group, Community, Yield, Odds, Stock Distributors, Referral Evaluation, Voice Services

Description

On-line stock information service system and method of using the stockmaster room and investment group}

1 is a block diagram of a system for providing online stock information through a high-loss group according to the present invention.

Figure 2 is a flow chart showing in detail the operation process of the high-loss system in the online securities information providing system through the high-loss group according to the present invention.

3 to 8 are flowcharts showing in detail the operation of each subroutine of FIG.

FIG. 9 is a flowchart illustrating a process (S157) of converting " changed value "

10 is a flow chart illustrating the operation of the group system in detail in the online securities information providing system through a high-loss group according to the present invention.

11 to 15 are flowcharts showing in detail the operation of each subroutine of FIG.

FIG. 16 is a flowchart illustrating a process (S256) of converting and outputting the " changed value "

17 is an exemplary homepage screen to which the present invention is applied.

Figure 17a is an exemplary view of a high water bag selection screen for high water level subscription.

17B is an illustration of a group selection screen for joining a group.

Figure 17c is an illustration of the securities information providing screen provided to users subscribed to the high water.

17D is an example of a stock information community screen provided to users who have joined the group.

17E illustrates an example of a recommendation screen for stocks of adherent investors or group members.

* Description of the symbols for the main parts of the drawings *

10: network communication network, 20: adherent investor terminal,

30: general investor terminal, 40: client terminal,

50: main server computer, 60: stock exchange server,

110: member management department, 120: adherence registration management department,

130: control unit, 140: stock recommendation management unit,

150: recommender evaluation management unit, 160: high-loss management unit,

170: group management unit, 180: voice service management unit,

190: data input section, 200: database.

The present invention relates to a system and a method for providing online securities information through Kosu group.

More specifically, the number of high-loss companies and group members are provided with the timing of buying and selling securities recommended by the leading investors and group members, thereby maximizing the returns of the general investor and the reliability of the leading investors providing the buying / selling points. In order to secure, the five factors of yield, win rate, referral count, rise count, and stock variance are evaluated according to the rating, so that ordinary investors can select the true best investors. The present invention relates to an online stock information providing system and a method thereof, which enables interactive stock information exchange. In addition, the present invention relates to an online stock information providing system and a method capable of providing a voice service for real-time stock recommendation without installing a separate emulator in a client terminal.

In general, the Internet is used as an open network configured to freely connect and use a common protocol called TCP / IP (Transmission Control Protocol / Internet Protocol) to the other computer terminal that anyone wants to access anywhere in the world. Sex is increasing.

As the use of the Internet is rapidly increasing in Korea and around the world, it is rapidly increasing in importance as a strategic tool for improving efficiency and productivity in all parts of the existing industry, and new business opportunities are continuously created through the Internet. Of course, the area is also expanding, and the number of operators using the Internet is gradually increasing.

 Recently, following the announcement of the government's policy on real estate, the real estate market, which had been the largest part of the financial industry, has slowed down, and the stock market, which has not exceeded 1,000 points since the IMF, has been gradually expanding to over 1200 points. The growth of the stock market has led to the rapid dissemination of home trading system (HTS) and the short-term investment with the sale fee significantly lower than that of the early stock market. Made it.

In addition, convenient trading systems and booming securities stocks have led stock investors to focus more on short-term investment, and many stock investment methods have been created to help them. In other words, it was a mechanical system in which trading was carried out when the indicator conditions were met in the system. However, defining a number of unpredictable variables in a certain formula and applying them to the stock market has not helped to improve the returns of general investors, and the world's scholars have yet to formulate a mechanism to make a profit in the stock market. Could not be found.

In the past, one of the reasons why the average investor remained incomparably low compared to the stock investment experts was that the investor could only find the information on the information side, which is the key to stock investment, and only through closed information or late media information. It was because it was made. However, at present, most of the information is OPEN due to the rapidly developed Internet, and all the information such as market conditions are provided in a timely and accurate manner.

However, the development and popularization of the Internet has resulted in a flood of information beyond imagination, and now it is not a lack of information but a reality that has to filter out information because there is too much information. Therefore, the average investor needs a great deal of time and effort to obtain quality information for stock investment.

Now, the key to securities information sites is not who provides a lot of stock investment information, but how to buy and sell stocks that will rise and sell stocks that will rise and how fast and accurate. It is. This is because stock investors need to provide information about the right time to buy / buy stocks for specific stocks, not market and economic indicators provided by fund managers and analysts working for securities firms.

Because of this necessity, 'following the drummer' was once a trend, but it exposed many problems. First of all, the high subscription fee for unproven adherence and the way of operating in advance for more than one month are very likely to cause injustice to the general investor. Many online securities information providers claim to adhere to themselves and demand hundreds of thousands of won in monthly payments, but they have never paid refunds even if their activities are low or their returns are low. As a result, if the performance was not good, fraudulent sites such as changing the name of the penmanship surged, and general investors suffered two damages: stock loss and expensive subscription fees.

In addition, there was a problem that customers do not have a reliable objective evaluation method. The existing high evaluation method was very fragmentary by evaluating only return rate and win rate ((rising / recommendation) × 100). In addition, this valuation method could have serious errors for the average investor in assessing adherence.

For example, even if A and B have the same 10% yield and 100% win rate, if A's recommendation is 1 and B's recommendation is 3, B's average return is A. Although it is lower than Coriander, all three times the recommended rate has risen, so it is relatively more reliable than Coriander A. On the other hand, Coriander A has a higher average return than Coriander B, but it is relatively less reliable than Coriander B because its relatively small sample. .

In addition, even if A and B have a 10% yield, 100% win, and 3 recommendation times, A recommends three events one time and B recommends three events one time each and three times. Naturally, B's who invested in a number of stocks should receive better evaluation than A's who do not have a risk variance.

In the existing high evaluation method, this was overlooked and there was no evaluation standard reflecting this.

In addition, the existing securities information providing sites had to be independent stand-alone methods that had to open several web pages in order to see several adherents. These sites provided information on their own standalone web pages by providing their own rooms (blogs and cafes). General investors had to be very uncomfortable due to the problem of having to display as many web pages as the number of registered high-floor subscriptions and the confirmation of individual pages when receiving information from a large number of high-floor players.

In addition, all of the existing stock information provided is a bulletin board type text information providing method.

This has the serious disadvantage of having to check every web page visually and not recommending real-time recommendation items from recommendation to selling recommendation. The bulletin board is just a record of text that is not connected to the stock exchange.

In addition, the stock securities buy / sell recommendation method of existing securities information providing sites is based on price. In other words, the price of buying and selling securities was notified by the price of buying and selling, but the stock quote reflects the trends of politics, economy and industry and the trends of listed companies. All information is then very sensitively reflected, so it is impossible to accurately predict the highs and lows of changing stock prices. In the end, it lists a lot of information about stocks, but it doesn't give you a practical buy / sell point.

Sites that provide conventional stock information had a problem that more members are attracted to those who relay information (also called relay actors). In other words, if a person joins three adherents and relays their recommended items, it is more costly for ordinary investors to receive services provided by person A than to join each of the three adherents. There is a contradiction in that A will join the guy A, and the adherents will have to make money, but in reality there is a contradiction that the guy A gets more money.

In addition, the general investors using the conventional stock information providing site were in a position to receive information unilaterally from the site. In addition, in order to exchange information among general investors, it was a bulletin board, a chat, a wired / wireless telephone method. However, it is difficult to evaluate the recommendation items of group members in the same way as above, and it is difficult to hide the recommendation history and superiority of group members.

The purpose of the present invention is to provide a new adherence evaluation system to solve the above-mentioned problems, and to publicize the returns and adherence evaluation for stocks recommended by the superior investors in real-time online, and confirmed this by contracts with excellent adherents. Online securities through Colossus and Groups that allow investors and adherents to join a specific Colossus so that they can receive recommendations from the Colossus Cocessors with real-time voice services on the web without installing an emulator on the client terminal. In providing an information providing system.

Another object of the present invention is to provide a real-time stock information in two-way (Two-way) by forming a community space (group) between the general investors to solve the above-mentioned problems, real-time rate of return for recommended items between members Provides online securities information through Kosubang and Group, which enables comprehensive evaluation through the new evaluation system and enables the group members to receive the recommendation contents of the group members with the voice service on the web in real time without installing an emulator on the client terminal. In providing a system.

Still another object of the present invention is to provide a method of operating an online securities information providing system through the high water repellent group.

The online securities information providing system through a high water repellent and a group according to the present invention includes a network communication network which connects a plurality of unspecified communication lines to perform data communication with each other;

Output the data for the registration of adherent investors through the network communication network, receive the data of general investors and adherent investors who subscribed to their colossus from the outside and display them on the screen, and perform it for a certain period of time. When you receive one or more securities stocks, yield and valuation data according to the recommendation, and note data from the outside, and output your own recommendation and note data to the outside, and you are a good investor, Securities stock recommendation data, rate of return and valuation data, and note data are provided in real time from the outside and displayed on the screen, and when the web page is refreshed, the recommendation package data of the current web page is output to the outside. Web pages before "Refresh" and web pages after "Refresh" A plurality of adherent investor terminals that receive the recommendation data from the outside in real time and output the text and voice;

Receiving stock and real-time returns and valuation data of leading investors from outside stocks connected through the network network, and displaying them on the screen in real time. Outputs the specific high-angle selection signal, high-loss subscription period data and point payment data inputted to use to the outside, and outputs the specific group selection signal, group subscription introduction data inputted to use the group service to the outside, In the case of joining Koh Bang or Group, Securities data and note data recommended by Koh Ji or group members are received in real time and displayed on the screen, and their recommended item and note data are output to the outside, and the web page 'New Recommend package of current web page Output data to the outside, and 'Refresh' previous Web page and the "refresh" after the multiple variations of a web page like this event received from the outside, which provides real-time data output by the voice of the character and general investors terminal;

Enter into a contract with a number of leading investors, calculate a plurality of securities stocks performed by a leading investor or group member for a certain period of time, calculate the rate of return according to the recommendation and recommender (the leading investor or group member), and calculate the client terminal It is outputted from the client terminal, and enters into a database of a number of adherents of a number of adherents and establishes as a database, performs group creation and group joining, and builds into a database, the adherents of the corresponding actress or the group Buying, selling recommendation data, note data, rate of return, and recommendation evaluation data of stock items performed by group members in real time to multiple client terminals joining the relevant high-floor or group, and connected to the stock exchange in real time Bring the current price of Restriction of recommendation of high-quality securities stocks for restriction, and when receiving 'refresh' request from client terminal, web page recommendation package data of 'refresh' request is received from client terminal and compared with current recommendation package data Calculating a changed value, converting the calculated changed value into a voice data link address of the corresponding name, and outputting the corresponding voice data to the client terminal; Characterized in that configured to include.

In addition, the method of providing a high-loss system in the online securities information providing system through the high-loss group according to the present invention, (1) the system operator for the adherent investors who applied for the adherence to the main server computer from the adherent investor terminal Signing a contract of adherence activities after consulting and building a database of approved investors; (2) buying and selling securities stocks of adherent investors who have adhered to the adherence activity by the system administrator on the main server computer, and setting up the database as a database by dividing the relevant stock data by the adherent investors; (3) Real-time update of the return rate of adherent investors who recommended the stocks for a certain period of time on the main server computer, calculate the valuation of the recommended stocks of the adherent investors, build the rate of return and valuation data as a database, and establish a plurality of general communication connected Providing in real time to the investor terminal and the adherent terminal; (4) constructing a database of specific high-floor subscription signals and data inputted by a plurality of general investors and high-level investors to use the high-loss service; (5) It includes a process of providing securities stock data recommended by the leading players of Koh Soo Bang in real time by text and voice to general investors and Koh Ji In investors who have joined the Koh Bang, in the main server computer.

In the present invention, the process (3) (3-1) step of calling the recommendation item details data for each investor in the recommendation item details table; (3-2) calculating a recommendation count, a rising count, a win rate, a yield rate, and an item variance with reference to the recommendation item breakdown data for each outstanding investor; (3-3) storing the data calculated in step (3-2) in a database; (3-4) calling the recommendation number, the number of rises, the winning rate, the yield rate, and the item variance for each of the adherent investors in the table in which the data in the step (3-3) is stored; (3-5) calculating a high score according to the recommendation evaluation formula by referring to the recommended number of investors, the number of rises, the number of wins, the rate of return, and the variance of the items called; (3-6) calculating a cilantro level based on cilantro level criteria with reference to the cilantro evaluation score calculated in (3-5) above; And (3-7) storing the data of steps (3-5) and (3-6) in a database.

The winning rate in step (3-2) is calculated by (rising number / recommendation number) × 100, and the item variance is calculated by (recommended stock type / recommendation number), and in step (3-5) Essay scores are calculated by {win rate + (rising number) ² × (variance of stock) -number of times} × rate of return if the overall rate of return is greater than zero, and when the overall rate of return is less than zero. It is characterized by calculating (yield) × 100.

In addition, the method of providing a group system in the online securities information providing system through the high water bag and the group according to the present invention includes: (1) the main server computer, which receives information of a user logged in through a client computer and compares it with data stored in a member database; Determining whether or not a general investor; (2) performing a group making or joining a group of general investors for group activities, and building a group or joining group signal and data into a database; (3) a process of buying and selling securities stocks of group members who have made or joined the group, and forming a database by dividing the corresponding stock data by group members; (4) Update the return rate of the group members who recommended the item for a certain period in real time, calculate the valuation of the recommended item of the group members, build the rate of return and evaluation data as a database, and use the terminal of the connected group members in real time. The process of providing; (5) providing securities item data and note data recommended by group members in real time by text and voice from a main server computer to general investor terminals subscribing to the group; Characterized in that consisting of.

In the present invention, the step (4) comprises the step of calling the recommendation item details data for each group member in the recommended item details table (4-1); (4-2) calculating a reference count, a rising count, a winning rate, a yield rate, and an event variance with reference to the recommended item list for each group member called; (4-3) storing the data calculated in step (4-2) in a database; Calling (4-4) the number of recommendation, the number of rises, the odds, the rate of return, and the item variance per group member in the table in which the data in step (4-3) is stored; (4-5) calculating the group member evaluation score according to the recommender evaluation formula by referring to the number of recommendations, the number of rises, the rate of return, the rate of return, and the variance of the group members called; (4-6) calculating a group member level with reference to the group member evaluation score calculated in step (4-5); And (4-7) storing the data of steps (4-5) and (4-6) in a database.

The odds ratio in step (4-2) is calculated by (number of rises / recommendation times) × 100, item variance is calculated by (recommended stock type / recommendation times), and step (4-5) The group member's score in is calculated by {win rate + (rising number) ² × (variance of stock) -number of times} × rate of return if the group member's total return is greater than zero, and the group member's total return is greater than zero. If small, it is calculated by (yield) × 100.

Hereinafter, with reference to the accompanying drawings will be described a preferred embodiment of the online securities information providing system through the high water bag and the group of the present invention, the same reference numerals will be used for the same parts throughout the drawings.

1 is a block diagram schematically showing a system for providing online stock information through a high water repellent group according to the present invention.

As shown in the drawings, the system according to the present invention includes a main server computer operated by a company using the system, a stock exchange server on which stock trading is performed, a plurality of high-investor terminals used by high-investor investors, and a plurality of general-use investors. It consists of a general investor terminal and a network connecting them.

Preferably, the network uses the Internet (Internet), which is an open network that can be freely connected and used by an unspecified number, and the high-investor terminal and the general investor terminal use a mobile communication terminal having a built-in personal computer and a web browser. The client terminal means both the adherent terminal and the general investor terminal.

A plurality of adherent investors terminal 20 has a communication environment is established so that the adherent investors who have contracts with the company about the adherence activity can connect to the main server computer 50, which will be described later through the network communication network 10, adherent investors Outputs the buy and sell recommended item data and note data of the specific securities item inputted by the main server computer 50.

When the adherents select the colossus subscription service, the adherent terminal 20 receives the predetermined form data for inputting the corresponding data from the main server computer 50 and displays it on the screen. In accordance with the form data displayed on the output to the main server computer (50) the signal and data of the coriander join of the specific adherent investors.

In addition, the plurality of adherent investor terminals 20 receives data of general investors and adherent investors who have subscribed to their colossus from the main server computer 50 and displays them on the screen, and displays a plurality of stocks for a certain period of time. Revenue data and high valuation data according to the buy and sell recommendations are provided from the main server computer 50.

In addition, in the case of an adherent who joins the adherent of another adherent, the adherent investor terminal 20 may purchase, sell recommendation data, and note data of a specific securities item inputted by the adherent of the adherent. When received from the web page 'refresh' of the adherent terminal 20, the recommended item package data of the current web page is output to the main server computer (50).

The general investor terminal 30 has a communication environment established so as to be connected to the main server computer 50 which will be described later through the network communication network 10, and has signed a contract with the company from the main server computer 50. The high-quality investors receive the real-time rate of return and high-value evaluation data on the securities trading recommendations for a certain period of time and display them on the screen. Buy and sell recommendation data and securities data of securities stocks in real time by text and voice to display on the screen or output to the voice output device.

In addition, the general investor terminal 30 is a predetermined method for using the service from the main server computer 50 when the general investor who confirms the rate of return and evaluation data according to the recommendation items of the best investor selects the high water repellent subscription service. The form data of the inputted by the general investor according to the form data displayed on the screen, and the high filing joining signals and data of the specific high-investor to the main server computer 50, the general investor terminal ( In the web page 'refresh' of 30), the recommended item package data of the current web page is output to the main server computer 50.

In addition, the general investor computer 30 joining the group outputs the buy and sell recommendation data of a specific stock item input by the general investor who is a group member to the main server computer 50.

The main server computer 50 is a server operated by a company using the present system. The main server computer 50 can communicate using the network 10, and the operator can input data. The main server computer 50 is a member management unit 110, adherent registration management unit 120, control unit 130, item recommendation management unit 140, recommender evaluation management unit 150, high-floor management unit 160, group management unit 170, the voice service manager 180, the data inputter 190, the database 200, and the like.

The member manager 110 compares the personal data of the user input from the client terminal 40 with the personal data of the corresponding member stored in the database 200 to determine the adherence and membership, and is required when registering as a member. Stores and manages data in the database 200.

When the adherent registration manager 120 applies the adherent registration from the adherent investor terminal 20 to the main server computer 50, the adherent registration manager 120 determines whether the adherent registration has been approved or rejected by the system operator, and provides data necessary for registration as the adherent investor. It performs a function of storing and managing in the database 200.

When the stock recommendation management unit 140 intends to recommend a stock market, the stock market server 60 stores and manages data on the stock, the recommended price, and the recommender in the database 200. In connection with, the real-time stock price of the recommended stock is imported to handle the stock recommendation. In addition, the adherents who join other high berths function to limit the number of stock picks.

The recommender evaluation management unit 150 may be selected according to the number of recommendation (selling and selling of securities) performed by a recommender (a leading investor and a group member) for a predetermined period of time stored in the database 200 by the stock recommendation management unit 130. After calculating the rate of return data, evaluating the recommender according to the recommender evaluation formula, and performs the function of storing and managing in the database 200 by dividing by the recommender.

The high water repellent management unit 160 concludes the high water repellent subscription of general investors and high quality investors referring to the rate of return and evaluation data of the high quality investors stored in the database 200 by the recommender evaluation management unit 150, and concludes It stores and manages the data in the database 200, and performs the function of differentially applying the high-floor subscription fee of the relevant high-investor according to the high-investor evaluation results.

In addition, the high water repellent management unit 160 transmits the real-time securities recommendation data performed by the high water investors of the high water stored in the database 200 to the client terminal 40 subscribed to the high water repellent.

The group manager 170 determines whether a user logged in through the member manager 110 is a general investor and, in the case of a general investor, whether to create a group or join a group. ) To make a selection according to the displayed screen, and if a group making or group joining signal and data are outputted from the general investor terminal 30 to the main server computer 50, the group making or group joining is processed. Stores and manages data in the database 200.

In addition, the group management unit 160 is a general investor terminal 30 that has made or joined a group, securities item recommendation data and evaluation data of group members performed by group members of the group stored in the database 200. Will be transmitted in real time.

The voice service manager 180 requests a web page 'refresh' request from a master investor terminal 20 and a general investor terminal 30 or a general investor terminal 30 joining a group. Receive recommendation package data (recommended number, recommendation item, recommendation item details of adherent investors and group members by combining buy / sell numbers) on the terminal 40 web page to the main server computer 50 Refer to the recommended package data to compare and extract the changed part, uncombine the extracted data, convert it to the voice file link address in the database with the name of the data, and then link to the corresponding terminal that requested 'refresh'. Outputs the voice file of the address. This is a groundbreaking method that enables real-time voice output of the item recommendation details performed by the adherent investor and group members of the group, without installing a separate emulator in the client terminal 40.

The data input unit 190 is inputted by the main server operator operating program to support the high-floor service and group activity services, the database number of the member number, member ID, securities item name and whether to buy / sell recommendation of the database ( 200) to store and manage.

The control unit 130 controls them.

An embodiment of the online securities information providing method through the high water repellent group according to the present invention configured as described above will be described in detail with reference to FIGS. 2 to 16.

2 to 9 are flowcharts showing in detail the operation of the high-loss system in the online securities information providing system through the high-loss group according to the present invention.

First, the main server computer 50 determines whether or not the adherence registration has been approved or rejected by the system operator for the adherent investors who have applied for adherence from the adherent investor terminal 20, and if the adherence registration is approved, the adherence contract is signed. Contracted and approved firms are built into the database (S110).

Referring to the process (S110) in detail with reference to Figure 3, the main server computer 50 determines whether the adherent investors select the adherent registration application menu in the adherent investor terminal 20 (S111), the adherent registration application When the menu is selected, the main server computer 50 outputs predetermined form data for inputting the corresponding data to the master investor terminal 20 and displays it on the screen (S112). When the data is inputted according to a predetermined form output from the main server computer 50 and outputted to the main server computer 50 (S113), the main server computer 50 rejects whether the adherence registration has been approved by the system operator through the adherence registration management unit 120. It is determined whether or not (S114).

As a result, in the case of adherent investors who have obtained approval of adherence by the system operator, the main server computer 50 concludes a contract related to adherence activities with the adherent investor through the adherence management unit 120 (S115), Information (eg, name, pen name, return rate for a certain period of time, career, etc.) regarding a plurality of adherent investors who have signed a contract is stored in the database 200 (S116).

As such, after the conclusion of the adherence activity agreement with the adherent investors through the process (S110), the main server computer 50 is a securities item performed by a plurality of adherent investors who have entered into the adherence activity contract through the stock recommendation management unit 140 Buying, selling recommendations and note data of the store in the database 200 (S120).

This process (S120) will be described in detail with reference to FIG. 4, and the main server computer 50 receives information of a user logged in through the client computer 40 and compares the data with the data stored in the database 200 to determine whether the main investor is a good investor. It is determined (S121). As a result of the determination, if the logged-in user is a well-being investor, it is determined whether the well-being investor has joined the well-being of other wellbeing investors (S122). As a result of the determination, if the corresponding investor joins the other's colossus, the number of recommendation of the superior investor is limited according to the number of joiners.

For example, if the number of joining the high-loss bag is one, it is limited to 30 times the number of recommendable times per day, and if the number of the joining high-loss bag is two, the number is limited to 20 times per day. The reason for joining Kosu Koguang is to open the possibility of exchange of information among Kogi, and limiting the number of recommendation of Kogi who joined Kosubang is a method designed to prevent relaying of Kozu.

Stock recommendation management unit 140 determines whether there is a recommendation number (recommendation limit number-recommended number of days) of the adherent investor (S124), and if there is a recommendation number available as a result of the determination, the search and recommendation form data to the corresponding investor terminal Outputs (S125). Subsequently, when a current stock signal is input by a leading investigator, the main server computer 50 connects with the securities trading server 60 to obtain real-time stock price data of the selected securities stock and outputs it to the top investor terminal 20. (S126). The main server computer 50 determines whether the securities stocks are recommended from the adherent investors who confirmed the real-time stock price data (S127). If the securities stocks were recommended as a result of the determination, the stock recommendation management unit 140 selects the corresponding stock data (recommendators and recommended stocks). , Recommendation contents, recommendation price, etc., and the recommendation price is automatically inputted in real time current price) and stored in the database 200 according to the number of sticks (S128).

However, if the determination result of the step (S122), if there is no high-floor to which the corresponding master investor subscribed, it repeats after the above-described step (S125). That is, there is no limit on the number of picks.

In addition, if the determination result of the step (S124) is that there is no recommendation number of the corresponding investor, the main server computer 50 to the corresponding investor terminal 20, a message indicating that there is no recommendation number and a message asking whether to purchase the item. To output (S129). The main server computer 50 determines whether or not the adherent investor chooses to purchase the item (S129-1). When the decision is made to purchase the item, the main server computer 50 deducts the item purchase point from the retention point of the adherent investor, and the item is recommended. After adding as many as purchased, the above-described step (S124) and after is repeatedly performed (S129-2).

In this way (S120) through the purchase of a number of securities firms that have adhered to the adherent activity contracts, the recommendation data and note data of the securities, the main server computer 50 after the recommendation evaluation management unit Calculate the return and adherence score of the adherent investor who recommended the item for a certain period through the 150, and stores the calculated result in the database 200, the main server computer (50) to use the high-loss subscription service It provides the corresponding data in real time to the plurality of client terminals 40 connected to the communication (S130).

When the process (S130) is described in detail with reference to FIG. 5, the recommender evaluation management unit 150 calls the recommendation item details data stored in the process (S128) from the database 200 (S131). Of the recommended stocks according to the number of high, the stock is determined whether there is a stock not recommended for sale (S132). If there is a stock that is not recommended for sale after the recommendation, the main server computer 50 connects to the stock exchange server 60 to update the current price of the corresponding stock item (S133), and the recommender evaluation management unit 150 updates the updated data. With reference to the recommendation evaluation formula to calculate and process the high-order evaluation (S134), such a process (S134) will be described in more detail with reference to FIG.

The recommender evaluation management unit 150 calls the recommendation item data for each number of pieces updated in the step S133 (S134-1); Calculate the number of recommendation, rise, and win rate ((rising / recommendation) × 100), return rate, and variance (recommended stock type / recommendation) of the recommended investor by referring to the recommendation item history data of the adherent investor. (S134-2); Storing the data calculated in the step (S134-2) in the database 200 (S134-3); Calling the recommended number of times, the number of rises, the winning rate, the rate of return, and the item dispersion data stored in the database 200 in step S134-3 (S134-4); Based on the called data, a high evaluation score is calculated according to the recommendation evaluation formula (S134-5).

Computation of the high score is performed by the recommender evaluation management unit 150 according to the recommendation evaluation formula, and the high score is {win rate + (rising frequency) ² × -Recommendation frequency} By return rate, if the overall composite return rate is less than 0, it is calculated by (return rate) × 100. When the return rate is less than 0, the reason for applying a separate formula overcomes the rapid fluctuations in the evaluation score. It is to.

For example, it is calculated as follows.

Example 1) In the case of a fixed-investor with a recommendation of three different stocks, all three rises and a return of 6%,

Referrals = 3, climbs = 3, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1

The high score was {100 + (3) ² × 1-3} × 6 = 636 points.

Example 2) In the case of a fixed-investor B who has six different recommendations and rises all six times, and the yield is 6%,

Referrals = 6, climbs = 6, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1

The high score is {100 + (6) ² × 1-6} × 6 = 780 points.

Example 3) In the case of a C-invested investor with a 3% recommendation of the same stock and a rise of all three, with a yield of 6%,

Referrals = 3, climbs = 3, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1/3

The high score was {100 + (3) ² × (1/3)-3} × 6 = 600 points.

Example 4) In the case of a fixed-investor with a 6% recommendation of the same stock and a rise of 6 times, with a yield of 6%,

Referrals = 6, climbs = 6, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1/6

The high score was {100 + (6) ² × (1/6)-6} × 6 = 600 points.

In the previous method of evaluating adherence based only on the rate of return and win rate, A, B, C, and D adhered to the same evaluation (6% yield, 100% win rate). However, if the number of recommendation and item variance are reflected in the adherence evaluation, the evaluation results will be different as in the examples above (C adherence = D adherence <A adherence <B adherence), and this evaluation method can evaluate the adherence more objectively and reasonably. Let's do it.

In more detail, in the case of (Example 1) and (Example 2), both A and B have the same win rate of 100% and 6% of the yield, but they are more actively recommending the stocks, and the recommended stocks are B. A high score is given to the master at the same rate of return and the same rate of winning.

This will help to overcome the problems of the existing rating system, where once higher returns and odds are no longer recommended and take no risks, and encourage them to recommend more and more stocks, and to promote their activities. For sake.

In the case of (Example 1) and (Example 3), both A and C have the same 100% win rate and 6% yield, but they are distributed to more items than C who recommended the same item three times (Score = 600 points). The A score (valuation score = 636 points), which invested and diversified the risk, is given a higher score in terms of equal returns and the same win rate. This is to induce it as an valuation formula that encourages the firm to research and recommend various securities stocks, and to diversify the investment risks of ordinary investors through diversified investment.

In the case of (Example 3) and (Example 4), the same C stocks (Evaluation Score = 600 points) that recommended the same item three times under the same conditions with 100% win rate and 6% yield rate for both C and D sticks The reason why the evaluation formula is designed to give the same score is given to the D number of recommendations (600 points = 600 points) is that it recommends a specific item that is expected to rise in order to obtain a high score. This is to prevent the end. Therefore, the best way to improve the valuation score is to give high profits by diversifying investments in a number of stocks, which is also a good way to invest in securities.

In the existing high evaluation method, factors such as recommendation frequency and item variance were overlooked, and there was no evaluation standard reflecting this. Therefore, the adherence of the above evaluation formula can convey more objective and practical valuation information to the general investor, and it is very important in selecting the adherence to the general investor's style (the degree of hedging, the degree of stock dispersion, etc.). It can be used as useful information.

After the high score is calculated as in step S134-5, the high level is calculated based on the high level reference with reference to the calculated high score. (S134-6)

Evaluation of adherent investors who recommend such stocks is made by the recommendation evaluation formula, and the establishment of the adherence level according to the evaluation score is, for example, 'Level 5', 500 or more and 800, which is higher than or equal to 200 and 500 or higher. Less than 'level 4', more than 800 less than 1100 'level 3', more than 11000 less than 1400 'level 2', more than 1400 can be calculated as 'level 1'.

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Then, the data of the step (S134-5) and the step (S134-6) is stored (134-7).

After the process (S134), the high hydrophobic management unit 160, in real time to provide a plurality of client terminal 40, which performed a communication connection in accordance with the recommendation history of the securities of each of the plural investors investor and high evaluation data (S135).

Now, after the process (S130) to provide a plurality of client computers 40 with real-time return and high valuation data according to the securities recommendation performed by a plurality of adherent investors in the main server computer 50, the main server The computer 50 stores a specific high-loss subscription selection signal, subscription period data, payment amount, etc. inputted by a plurality of general investors and high-income investors who check the data through the high-loss management unit 160 through the high-loss management unit 160. In operation S140, the controller 200 stores the stored information at 200.

Referring to this process (S140) in detail with reference to Figure 7, the plurality of client terminals 40 performing the communication connection from the main server computer 50 according to the recommendation of a number of adherents by a plurality of adherent investors On the main server computer, the data is received and displayed on the screen (S141), and a plurality of general investors or high-investors who select the high hydrophobic subscription menu that checks the yield and the high valuation data according to the recommendation of the superior investors displayed on the screen. It is determined (S142). As a result of the determination, when the general investor or the high-investor selects the high hydrophobic subscription menu, the main server computer 50 outputs predetermined form data for the high hydrophobic selection, the subscription period input and the subscription fee payment to the corresponding client terminal 40 ( S143).

The client terminal 40 inputs the data according to the predetermined form data output from the main server computer 50 and outputs the data to the main server computer 50 (S144). When the general investor or the coordinator selects the colossus of a specific cohort and inputs the subscription period data and the colossus subscription payment data and outputs them to the main server computer 50, the colossus management unit 160 displays the corresponding coordinator or coriander. It is determined whether the amount of subscription of the high-moor selected by the investor can be settled within the holding point (S145), and if the amount of subscription of the high-loss selected by the general investor or high-investor does not exceed the holding point, the high-loss management unit 160 Signing the high-loss subscription of the high-investor and general investors (S146), and stores the high-loss subscription signal, subscription period data and high-loss subscription payment data of the specific high-investment investors input from the client computer (S147) ).

However, when the determination result of the step (S145), if the subscription amount of the coarse and the selected high-floor more than the holding point exceeds the holding point, the main server computer 50 message to request the point charging to the client terminal 40 Outputs and repeats the above step (S142) and performs (S148).

As described above, after the main server computer 50 performs the high-loss subscription of a plurality of general investors or high-quality investors through the process (S140), the high-loss management unit 160 and the voice service management unit 180 are high-quality investors Securities stock data and note data recommended by them are output in real-time voice and text to the terminal 30 of the general investor and the terminal 20 of the adherent investor subscribed to the relevant high-loss (S150).

This process (S150) will be described in detail with reference to FIG. 8, the main server computer 50 retrieves the user information logged in from the client terminal 40 to the main server computer 50, and the logged-in user adheres to it. After determining whether the user has joined the room (S151), if the logged-in user has joined the high water room as a result of the determination, the high water room management unit 160 determines whether a subscription period of the high water room that the logged-in user has subscribed to is valid (S152). As a result of the determination, if the login period of the logged-in user is valid, the high-loss management unit 160 purchases, sells recommendation data and notes data, and high-value evaluation data recommended by all the high-loss investors in the logged-in user. After calling from the database 200, the recommended item data among the called data is packaged separately (S153).

In the method of packaging a recommendation item, a recommendation number, a recommendation item number, and a buy / sell number are consecutively added to generate one data unit, and then packaged by dividing the data. This recommended item package data does not appear on the screen of the client terminal, but is only used to compare changes in the recommended item data.

For example, package it as follows:

“Buy Samsung Securities No. 1024 (ticker code: 016360) Recommendation (Buy 1), No. 1024 Samsung Electronics (No. 005930) Buy recommendation (No. 1); Code number: 006090) In the case of selling recommendation (indicated by the number 2), the recommended item package data is made in the format of “10240163601,10240059301,10250060902”.

The main server computer 50 transmits the recommended item package data value transmitted from the client terminal 40 to the main server computer 50 (the recommended item package data value is already transferred from the main server computer 50 to the client terminal 40). It is determined whether there is a recommendation data of the securities stocks recommended by the outputted general investor or the adherent of the coriander. (S154), and the client terminal 40 to the main server computer 50. If there is a sent recommendation package data value, it is determined whether the presently recommended item package data value of the step S153 is different from the recommended item package data value transmitted from the client terminal 40 to the main server computer 50. Comparative operation (S155).

Thereafter, the main server computer 50 determines whether there is a change in the data value as a result of the comparison operation in step S155 (S156), and if there is a change in the value of the recommended item package data to be output, the voice service manager 180 ) Converts the changed value into voice data and outputs it to the corresponding client terminal 40 (S157).

The main server computer 50 outputs the data called through the step S153 to the client terminal 40 subscribing to the corresponding high water bag (S158).

Thereafter, the main server computer 50 determines whether the web page 'refresh' is selected in the client terminal 40 (S159), and when the web page 'refresh' is selected, the main server computer 50 determines the client terminal. Receive the recommended item package data value of the current web page outputted in the 40, and repeats the above step (S153) until the client terminal 40 does not "refresh" (S159-1) ). In this way, the existing web page 'refresh' is simply a method of retrieving the data of the main server computer 50, whereas the 'refresh' of step S159-1 is performed by the client terminal 40. It is a breakthrough method for outputting data to the main server computer 50 and performing a bidirectional data transmission function for receiving data from the main server computer 50 to the client terminal 40.

In the step S157, the process of the voice service manager 180 converting the 'changed value' into voice data and outputting the voice data will be described in detail with reference to FIG.

9 illustrates in detail the operation of the method of outputting the changed data on the screen of the client terminal 40 as voice without installing a separate emulator in the client terminal 40 through the voice service manager 180 according to the present invention. Is a flowchart.

If there is a changed value as a result of the determination in step S156, the voice service manager 180 of the main server computer 50 calls the 'changed value' calculated as a result of the comparison operation in step S155 (S157a). These values consist of a combination of data indicating the recommendation number, the recommendation item number, and whether to buy or sell.

Thereafter, the voice service manager 180 separates data indicating whether a recommender, a recommendation item, and whether to buy or sell by uncoupling the 'changed values' called in the step S157a (S157b). The separated data is converted into a link address of the voice file having the corresponding name among the voice files in the database 200 previously stored by the operator (S157c). After the conversion to the link address, the main server computer 50 outputs the corresponding voice file linked to the client terminal 40 in a streaming manner (S157d).

For example, it works in the following way.

The recommendation number '1024' means “thousands of fourteen fourty four”, the stock code “016360” means “Samsung Securities”, “1” means recommendation, “2 recommendation” and “2” means recommendation. "Recommend" is recorded in advance in the database 200 through the data input unit 190.

Stock recommendation package data of the adherent investors output to the client terminal 40 subscribed to the Kosubang is output as a combination of data indicating the recommendation number, recommendation item code, buy / sell, for example, the number 1024 In case of recommending the purchase of Samsung Securities, it is output as '10240163601'.

When the web page is refreshed, if the changed value is '10240163601' compared to the previous web page, the voice service manager 180 sets the values of '10240163601' to '1024', '016360', Separate into preset lengths such as '1'.

The voice file folder address of the main server in front of the separated data (for example,

"Www.jusikgosu.com/sound/"), followed by a separate voice file extension (for example, ".mp3") after the separated data.

"1024" becomes "www.jusikgosu.com/sound/1024.mp3",

‘016360’ becomes “www.jusikgosu.com/sound/016360.mp3",

'1' becomes “www.jusikgosu.com/sound/1.mp3” and the link address of the corresponding voice file is created.

In the client terminal 40, the above three Internet link addresses are automatically executed.

It is output as a voice as “recommended purchase of Samsung Securities, a thousand twenty four times.”

This is advantageous in that it is possible to receive voice service without installing a separate emulator in the client terminal, and it is variously customized according to the request point and state of each client terminal rather than the method of transmitting the changed data in a batch from the main server computer. This is a breakthrough method that can provide voice service. In addition, there is an advantage that the system can be used by simply accessing the web, even in a company terminal for which emulator installation is prohibited.

10 to 16 are flowcharts showing in detail the operation of the group system in the online securities information providing system through a high-loss group according to the present invention.

First, the main server computer 50 receives the information of the user logged in through the client terminal 40 and compares the data with the data stored in the database 200 to determine whether the general investor (S210).

If the logged-in user is a general investor as a result of the determination in step S210, group creation or group joining of general investors for group activity is performed, and group creation or group joining signals and data are constructed as a database (S220). .

This process (S220) will be described in detail with reference to FIG. 11, the main server computer 50 outputs the group activity service information to the general investor terminal 30 (S221), and the general investor general investor terminal 30 If you create a group among the group activity service information displayed on the monitor and select <Create Group> to become an administrator of the group (S222),

The main server computer 50 outputs group creation form data to the general investor computer 30 (222-1). Thereafter, the general investor terminal 30 inputs the data according to the predetermined form data output from the main server computer 50 and outputs the corresponding data to the main server computer 50 (S222-2). The group manager 170 searches the database to determine whether there is a duplicate name among the group name and the existing group name applied for group creation (222-3). If there is no duplicate group name as a result of determination, the group manager 170 creates a corresponding group and outputs the data (for example, group name, group capacity, and the like) outputted to the main server computer 50 in step 222-2. Group introduction, administrator name, etc.) are stored in the database (222-4).

However, when the general investor selects <join group> to join a group which has already been created among the group activity service information displayed on the general investor terminal 30 monitor (S223),

The main server computer 50 outputs the group list data already generated to the general investor computer 30 (223-1). The main server computer 50 then joins a specific group from the general investor terminal 30. It is determined whether the application menu is selected (S223-2), and if a specific group subscription application menu is selected, the predetermined form data for joining the group is output to the general investor terminal 30 (S223-3). Input the corresponding data according to the predetermined form data output from the main server computer 50 and output the main data to the main server computer 50 (S223-4), and the group manager 170 of step S223-4. It is determined whether the application for joining the group has been approved or rejected by the manager of the group (S223-5). As a result of the determination, if the subscription request is approved by the group manager, the group management unit 170 concludes the group subscription and outputs the data (for example, the selected group name and member) to the main server computer 50 in step S223-4. Name, subscription introduction, etc.) are stored in the database (S223-6).

However, as a result of the determination in step S223-5, if the subscription request is rejected by the group manager, the group manager 170 outputs a message indicating that the subscription request is rejected from the group manager to the corresponding general investor terminal 30 and the step ( S223-2) to repeat the following (S223-7).

As such, after the general investor makes a group or joins a group through the process (S220), the main server computer 50 purchases and sells recommendation data of securities stocks performed by a plurality of general investors who have made or joined a group. To build a database (S230).

This process (S230) will be described in detail with reference to FIG. 12, and the main server computer 50 receives the information of the user logged in through the client computer 40 and compares the data with the data stored in the database 200. If it is determined in step S231 that the logged-in user is a group member, the main server computer 50 outputs the item search and recommendation form data to the corresponding group member terminal (S232). When a current search signal is inputted by the group member, the main server computer 50 connects to the stock exchange server 60 to obtain real-time stock price data of the selected stock item and outputs it to the corresponding group member terminal (S233). Subsequently, the main server computer 50 determines whether a securities item is recommended from the group member who checked the real-time stock price data (S234), and if the securities item is recommended, the item recommendation management unit 140 recommends the corresponding item data (recommended person, recommendation item). , Recommendation content, recommendation price, etc., and the recommendation price is automatically input to the real-time current price) is stored in the database 200 by dividing by group members (S235).

In this way (S230), after building the securities, the recommendation history and note data of the securities stocks performed by the general investors who made the group or join the group as a database, the main server computer 50 is recommended evaluation management unit 150 Calculate the return rate and group member evaluation score of the group members who recommended the item for a certain period of time through), and stores the calculated result in the database 200, a plurality of communication connected to the client terminal (40) ) Provides the corresponding data in real time (S240).

Referring to the process (S240) in detail with reference to Figure 13, the recommender evaluation management unit 150 calls the group recommendation item history data for each group member stored in the process (S235) from the database (200) (S241) In the recommended item for each group member called, it is determined whether there is an item not recommended for sale after the recommendation (S242). If there is an item not recommended for sale after the recommendation, the main server computer 50 connects to the stock exchange server 60 to update the current price of the relevant stock item (S243), and the recommender evaluation management unit 150 updates the updated data. With reference to the recommendation evaluation formula to calculate and process the group member evaluation (S244), such a process (S244) will be described in more detail with reference to FIG.

The recommender evaluation manager 150 calls the recommended item data for each group member updated in the step S243 (S244-1); Calculate the number of recommendation, rise, and win rate ((rising / recommendation) × 100), return rate, and variance (recommended stock type / recommendation) of the group members by referring to the recommended item history data of each group member. (S244-2); Storing the data calculated in the step S244-2 in the database 200 (S244-3); Calling the recommended number of times, the number of rises, the winning rate, the rate of return, the item distribution data of the group members stored in the database 200 in step S244-3; The group member evaluation score is calculated by the recommendation evaluation formula with reference to the called data (S244-5).

Calculation of the group member evaluation score is performed in the recommender evaluation management unit 150 according to the recommendation evaluation formula, and the group member evaluation score is {win rate + (rising number) ² × (when the total return of the group member is greater than 0) Variance)-number of recommendation} × return rate, if the group member's total return rate is less than 0, it is calculated by (return rate) × 100. When the return rate is less than 0, the reason for applying a separate formula is that It is to overcome the fluctuations.

For example, it is calculated as follows.

Example 5) In the case of an A group member who has three different recommendations and rises all three times and returns 6%,

Referrals = 3, climbs = 3, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1

The group member evaluation score was {100 + (3) ² × 1-3} × 6 = 636 points.

Example 6) In the case of a group B member who has six different recommendations and rises all six times, and the yield is 6%,

Referrals = 6, climbs = 6, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1

The group member evaluation score was {100 + (6) ² × 1-6} × 6 = 780 points.

Example 7) In the case of a C-group member who recommends the same item three times and rises all three times and returns 6%,

Referrals = 3, climbs = 3, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1/3

The group member evaluation score was {100 + (3) ² × (1/3)-3} × 6 = 600 points.

Example 8) In the case of a D-group member who recommends the same item six times and rises all six times and returns 6%,

Referrals = 6, climbs = 6, yield = 6%, win rate = (rises / recommendations) × 100 = 100%,

Stock variance = (recommended stocks / recommendations) = 1/6

The group member evaluation score was {100 + (6) ² × (1/6)-6} × 6 = 600 points.

In the previous method of evaluating group members only based on the rate of return and the winning rate, A, B, C, and D group members all received the same evaluation (6% yield and 100% win rate). However, if the number of recommendation and item variance are reflected in the group member evaluation, the evaluation results will be different as in the above examples (C group member = D group member <A group member <B group member), and this evaluation method makes the group member more objective. It makes it possible to evaluate reasonably.

In more detail, in the case of (Example 5) and (Example 6), both Group A and Group B members have the same win rate of 100% and the return rate of 6%, but more actively recommend the stocks and the recommended stocks Nan B Group members are given higher scores on equal returns and equal win rates.

This is a valuation formula that promotes group members' activities by overcoming the problems of existing valuation systems, which, once recorded with high returns and win rates, are no longer recommended to take risks and encourage group members to recommend more events. To activate it.

In the case of (Example 5) and (Example 7), both A-group and C-group members have the same 100% win rate and 6% yield, but the number of C-group members who recommended the same item three times (Score = 600 points) Group A members (valuation scores = 636 points) that diversify their risks by diversifying their investments in the stocks are given higher scores under the same yield and the same win rate. This is to induce this as an evaluation formula to encourage group members to research and recommend various securities stocks, and to diversify the investment risk of group members who join the group through diversified investment of group members.

In the case of (Example 7) and (Example 8), C group members and D group members have 100% win rate and 6% profit rate, and the C group members who recommended the same item three times under the same conditions (score = 600 points) The reason why the evaluation formula is designed to give the same score to D-group members (score = 600 points) that recommends the same item six times is that a certain item is expected to rise in order to obtain a high group member score as the number of recommendations increases. This is to prevent the lungs from recommending intensively and repeatedly. Therefore, group members' diversified investment in a number of stocks and high profits are the best way to improve the valuation score, which is also a good way to invest in securities.

In the existing group member evaluation method, factors such as the number of recommendation and item variance were overlooked, and there was no evaluation standard reflecting this. Therefore, the group member evaluation applied to the above evaluation formula can deliver more objective and practical evaluation information to the group members who join the group, and select a group that fits the style of the group members (the degree of hedging, the degree of stock dispersion, etc.). It can be a very useful piece of information in your choice.

After the group member evaluation score is calculated as in step S244-5, the group member level is calculated based on the group member level reference with reference to the calculated group member evaluation score (S244-6).

In this way, the evaluation of the group members who recommended the item is made by the recommendation evaluation formula, and the group member level setting according to the evaluation score is, for example, the group member evaluation score of 200 or more and less than 500 is 'level 5', 500 Less than 800 may be calculated as 'level 4', more than 800 and less than 1100 is 'level 3', more than 11000 and less than 1400 is 'level 2', and more than 1400 is calculated as 'level 1'.

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And the data of the step (S244-5) and (S244-6) is stored (S244-7).

After the process (S244), the group manager 160 provides the real-time rate of return and group member valuation data according to the recommendation history of a plurality of group members to the plurality of group member terminals joined to the group (S245). ).

As described above, after the main server computer 50 performs the rate of return and group member evaluation of the group members, the group manager 170 and the voice service manager 180 recommend securities item data recommended by the group members. And the message data is output to the terminal of the group members joined to the group in real time voice and text (S250).

Referring to this process (S250) in detail with reference to Figure 15, the main server computer 50 receives the information of the user logged in via the client terminal 40, compared with the data stored in the database 200 to log in It is determined whether there is a group to which the user belongs (S251). As a result of the determination, if there is a group to which the logged-in user belongs, the group management unit 170 stores the number of stock items recommended by members of the group to which the logged-in user belongs, selling recommendation data and note data, and group member evaluation data in the database (200). ) And the recommended item data is separately packaged among the called data (S252).

In the method of packaging a recommendation item, a recommendation number, a recommendation item number, and a buy / sell number are consecutively added to generate one data unit, and then packaged by dividing the data. This recommended item package data does not appear on the screen of the client terminal, but is only used to compare changes in the recommended item data.

For example, package it as follows:

“No. 5024 Group Member Samsung Securities (Item No .: 016360) Recommendation (Buy 1), No. 5024 Group Member Samsung Electronics (No. 005930) No. Recommendation (No. 1), 5025 Group No. In the case of Yangshuo Mountain (stock code number: 006090) recommendation for sale (indicated by the number 2), the recommended event package data is made in the format of "50240163601,50240059301,50250060902".

The main server computer 50 transmits the recommended item package data value transmitted from the client terminal 40 to the main server computer 50 (the recommended item package data value is already transferred from the main server computer 50 to the client terminal 40). Outputted by the group members of the group to which the general investor has subscribed, it is determined whether there is a recommendation data of the number of securities stocks recommended for sale (S253), and is transmitted from the client terminal 40 to the main server computer 50. If there is a recommended item package data value, it is compared and calculated whether the presently recommended item package data value of the step S252 is changed from the recommended item package data value transmitted from the client terminal 40 to the main server computer 50. (S254).

Thereafter, the main server computer 50 determines whether there is a change in the data value as a result of the comparison operation of the step S254 (S255), and if there is a change in the value of the recommended item package data to be output, the voice service manager ( 180 converts the changed value into voice data and outputs it to the corresponding client terminal 40 (S256).

Then, the main server computer 50 outputs the data called through the step (S252) to the client terminal 40 belonging to the group (S257).

Thereafter, the main server computer 50 determines whether the web page 'refresh' is selected in the client terminal 40 (S258), and when the web page 'refresh' is selected, the main server computer 50 determines the client terminal. After receiving the recommended item package data value of the current web page outputted at 40, the client terminal 40 repeats the operation after step S252 until it does not refresh (S259). In this way, the existing web page "refresh" is simply a method of retrieving the data of the main server computer 50, whereas the "refresh" of the step (S259) is the data of the client terminal 40 It is a revolutionary method for outputting to the main server computer 50 and performing a bidirectional data transmission function for receiving the data of the main server computer 50 to the client terminal 40.

In the step S256, the process of the voice service manager 180 converting the changed value into voice data and outputting the voice data will be described in detail with reference to FIG.

16 illustrates in detail the operation of the method of outputting the changed data on the screen of the client terminal 40 as voice without installing a separate emulator in the client terminal 40 through the voice service manager 180 according to the present invention. Is a flowchart.

If there is a changed value as a result of the determination in step S255, the voice service manager 180 of the main server computer 50 calls the 'changed value' calculated as a result of the comparison operation in step S254 (S256a). These values consist of a combination of data indicating the recommendation number, the recommendation item number, and whether to buy or sell.

Thereafter, the voice service manager 180 separates data indicating whether a recommender, a recommendation item, and whether to buy or sell by uncoupling the 'changed values' called in the step S256a (S256b). The separated data is converted into a link address of the voice file having the corresponding name among the voice files in the database 200 previously stored by the operator (S256c). After the conversion to the link address, the main server computer 50 outputs the voice file linked to the client terminal 40 in a streaming manner (S256d).

17C is a basic screen showing an example displayed on the My Gouang screen in the system for providing online stock information through Gouang and the group according to the present invention.

My guangbang window 600 is a window (611) that displays the data, such as the name, level, number of purchases, number of holdings, rate of return, odds, recent recommendation time, etc. of ordinary investors and coriander investors joining the coriander, My coriander information window 610 is composed of a button 612 of the 'hidden' function that does not display the coriander for a while; A memo window 620 received from My Kome, which displays memo data sent by the Kosu Securities Co. Data on stocks recommended by Buyers and Buyers to buy and sell in the high and low-end investors who have joined the general and high-investors (for example, recommendation name, recommendation time, recommendation item, recommendation price, current price, yield, recommendation content, recommendation for sale) My list of recommended items information window 630, etc.) are displayed; A voice service execution button 640; Voice service player 650.

17D is a basic screen showing an example displayed on the My Group screen in the system for providing online securities information through a high water repellent group according to the present invention.

My group window 700 is a window 711 that displays the data, such as the name, level, number of purchases, number of holdings, yield, win rate, recent recommendation time, etc. of the group members of the general investor joins the group members My group members information window 710 consisting of a button 712 of the 'hidden' function that does not display for a while; A memo window 720 received from my group displaying memo data sent by group members of a group joined by a general investor; Data on stocks that are recommended for purchase and sale by group members of a group invested by a general investor (e.g., recommendation member name, recommendation time, recommendation stock, recommendation price, current price, yield, recommendation content, recommendation for sale, etc.) My group members recommended item information window 730 is displayed; A voice service execution button 740; Voice service player 750.

17E is a basic screen showing an example displayed on a stock recommendation screen in the system for providing online stock information through a high water repellent group according to the present invention.

My recommendation window 800 is composed of a window (811) for displaying the current price of the recommended item input from the user, a window (812) for inputting the recommended content of the item to be recommended, the item recommendation button (813) An event recommendation window 810; My member consisting of a window (821) and a send message button (822) for displaying notes sent to the group members and the general investor if the user is a high-investor, and sent to the group members if the user is a general investor. Send a message to the window 820; A window 830 for displaying comprehensive evaluation data on a user's recommended item; The window 840 is configured to display a user's recommendation item detail data.

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.

According to the present invention, the general investor can save time by searching for stock information by referring to the real-time stock recommendation status of the leading investor and group members through the online securities information providing system through the high-loss team and the group. In addition, you can learn investment techniques naturally through the adherent investors and group members.

In addition, due to the evaluation of adherents and group members based on the three-dimensional recommendation evaluation method, damages to unvalidated adherents and peers are reduced, and comprehensive and prompt and practical trading information is provided and exchanged with actual and proven adherent investors and colleagues. This can maximize return.

In addition, by allowing general investors to recommend securities stocks within the investment group, it is possible to exchange bilateral securities information among group members without receiving unilateral information from leading investors. This operation is an innovative way to overcome the limitations of chat and bulletin boards.

In addition, since the voice service for real-time item recommendation can be received without installing an emulator on the client terminal, the system can be used simply by a web connection even in a company terminal for which emulator installation is prohibited.

In addition, by configuring the screen to check the securities and note data recommended by all coriander masters at one web page, and comprehensive evaluation data for each coriander at a glance, you do not need to display the joining goribang in the web window It is a very convenient system.

Claims (26)

In the online securities information providing system through Kosubang group, A network communication network which connects a plurality of unspecified communication lines to perform data communication with each other; Output the data for the registration of adherent investors through the network communication network, receive the data of general investors and adherent investors who subscribed to their colossus from the outside and display them on the screen, and perform it for a certain period of time. When you receive one or more securities stocks, yield and valuation data according to the recommendation, and note data from the outside, and output your own recommendation and note data to the outside, and you are a good investor, Securities stock recommendation data, rate of return and valuation data, and note data are provided in real time from the outside and displayed on the screen, and when the web page is refreshed, the recommendation package data of the current web page is output to the outside. Web pages before "Refresh" and web pages after "Refresh" A plurality of adherent investor terminals that receive the recommendation data from the outside in real time and output the text and voice; Receiving stock and real-time returns and valuation data of leading investors from outside stocks connected through the network network, and displaying them on the screen in real time. Outputs the specific high-angle selection signal, high-loss subscription period data and point payment data inputted to use to the outside, and outputs the specific group selection signal, group subscription introduction data inputted to use the group service to the outside, In the case of joining Koh Bang or Group, Securities data and note data recommended by Koh Ji or group members are received in real time and displayed on the screen, and their recommended item and note data are output to the outside, and the web page 'New Recommend package of current web page The output to the outside, and 'Refresh' previous web page and 'Refresh' character and a plurality of output devices that retail investors with stocks like the voice data that changes after the web page received from the external data in real time; Comparing and judging the personal data of the user input from the adherent terminal and the general investor terminal and the personal data of the member stored in the database to determine the adherence and membership, and stores the data necessary for registration as a member in the database A member manager to perform a function of managing; When applying to the main server computer from the adherent investor terminal, the system operator determines whether the registered investor has registered for the adherent, and stores and manages the data necessary for registering as the adherent investor in the database. Adherent registration management unit to perform; When leading investors and group members want to recommend securities stocks, they perform the function of storing and managing data on recommended stocks, recommendation prices, and recommenders in the database, and connect to the stock exchange server for real-time stock prices. A stock recommendation management unit which handles the stock recommendation and performs a function of limiting the number of stock recommendation in the case of a adherent investor who has joined other high water; The stock recommendation management unit calculates the yield data according to the number of stocks bought and sold by a recommender (a leading investor and a group member) stored in the database for a predetermined period, and evaluates the recommender by a recommender evaluation formula. A recommender evaluation management unit that performs a function of storing and managing the database by separating the recommenders; The recommendation evaluation management unit performs a function of signing the high-mobility subscription of members and high-investment investors who refer to the returns and evaluation data of the high-investor stored in the database, and stores and manages the concluded data in the database, the high-investor After depositing the points for a certain portion of the subscription points of the general investor who has joined the high precision bank, the result of the point payment is output to the computer of the high investor, and according to the evaluation result of the high investor It performs the function of differentially applying the coriander joining fee of the coriander investor, and transfers the securities item recommendation data of the coriander investor stored in the database by the stock recommendation management unit to the coriander investor terminal and the general investor terminal. Transfer, high bag A high-loss management unit for canceling a high-loss service according to the cancellation data inputted from the plurality of general investor computers during the period; It is determined whether the user logged in through the member management unit is a general investor, and if it is a general investor, whether to create a group or join a group is transmitted to the general investor terminal so as to be selected by a displayed screen. A group manager for processing group creation or group subscription and storing and managing the data in the database when the group creation or group join signal and data are outputted from the general investor terminal to the main server computer; When the web page 'refresh' is requested from the leading investor terminal and general investor terminal joining Koh Soobang, or the general investor terminal joining the group, client recommendation package data (recommended number, recommended item number, number of purchases) Data of recommended stocks of high-ranking investors or group members that combines selling or selling by numbers) is sent to the main server computer to compare with the current recommended package data to extract the extracted parts, and to extract the extracted data. A voice service manager for outputting a voice file of the data stored in the database by an operator to a corresponding terminal requesting a 'refresh'; The main server operator inputs an operation program supporting high-loss service and group activity service, and stores and manages voice data of membership number, member ID, stock item name, and buy / sell recommendation in the database. A data input unit; And A database unit for storing data by the member management unit, coriander registration management unit, item recommendation management unit, recommender evaluation management unit, colossus management unit, group management unit, voice service management unit, and data input unit; On-line securities information providing system through Koang Bang and investment group, characterized in that configured including a main server computer. delete delete A method for providing a high-loss system in an online stock information providing system through a high-loss group and a group running on a main server computer connected to a plurality of client terminals and a network, (1) The main server computer judges whether or not the adherent registration has been approved or rejected by the system operator for adherent investors who have applied for adherence from the adherent investor terminal, and if the adherence has been approved, concludes the adherence activity contract and approves the approval. Building a database of acquired adherent investors; (2) the main server computer performs recommendation of securities stocks of adherent investors who have been approved for adherence by the system operator, and constructs a database by dividing the corresponding recommendation data by adherent investors; (3) The main server computer, in real time to update the returns of the adherents who recommended the stocks for a certain period of time, to build a database of the yield data for the recommended stocks of the recommended investors, a plurality of general investors terminal and adherents connected to the communication Providing in real time to the terminal; (4) constructing a database of specific high-loss joining signals and data inputted by a plurality of general investors and high-level investors to use the high-loss service; And (5) Securities stock data recommended by leading investors is packaged and provided from the main server computer to the general investors and the leading investor terminals subscribed to the relevant bank, and the streaming data of the recommended stocks according to the request of individual client terminals A method of providing online securities information through a group of high-loss and characterized in that it comprises a; providing a personalized text data to the individual client terminal. The method of claim 4, wherein the process (1), (1-1) the main server computer, determining from the adherent terminal whether the adherents select the adherence registration menu; (1-2) when the cilantro registration application menu is selected, the main server computer outputs predetermined form data for cilantro registration to the ciliant investor terminal and displays it on the screen; (1-3) the corresponding investigator inputting the data according to the predetermined form data output from the main server computer and outputting the data to the main server computer; (1-4) the main server computer determining whether or not the adherence registration has been approved by the system operator through the adherence registration management unit; (1-5) if the result of the approval of the adherent registration is obtained by the system operator, the adherent management unit concludes a contract related to the adherent activity with the adherent investor; And (1-6) The adherent registration management unit stores information (eg, name, pen name, return over time, career, etc.) about a plurality of adherent investors who have contracts related to adherence activities in a database. ; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 4, wherein the process (2), (2-1) the main server computer, receiving information of the user logged in through the client computer and comparing the data with the data stored in the database to determine whether or not the investor; (2-2) if the logged-in user is a adherent investigator, determining whether the adherent investor has joined the adherent of another adherent; (2-3) limiting the number of times that the preferred investor can recommend securities stocks according to the number of subscribed adherents, if the corresponding investor has joined the colossus of other adherents; (2-4) determining whether the recommendation number of recommended investors (recommendation limit-number of recommendation on the day) is available from the stock recommendation management unit; (2-5) if there is a recommendation number, the main server computer outputs the item search and recommendation form data to the corresponding investor terminal; (2-6) when a current stock signal is inputted by the adherent investigator, the main server computer connects with the stock exchange server to obtain real-time stock price data of the selected securities stock and outputs it to the adherent terminal; (2-7) the main server computer, judging whether the securities stock is recommended from the outstanding investor who confirmed the real-time stock price data; And (2-8) if the securities stock is recommended, the stock recommendation management unit stores the recommended stock data (recommended person, recommended stock, recommended contents, recommended price, etc.) according to the number of sticks and stores them in the database; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method according to claim 6, wherein, as a result of the determination in step (2-2), if there is no coffers to which the corresponding investor joins, Repeating the step (2-5) and after the step without limiting the number of securities stock recommendation of the adherent investors; online securities information providing method through a high-kumbang group comprising a. According to claim 6, If the determination result of the step (2-4), if there is no number of stock recommendation of the adherent investor, (2-4-1) the main server computer outputting a message informing the corresponding investor terminal that there is no recommendation number and a message asking whether to purchase the item; (2-4-2) the main server computer, determining whether the main investor selects to purchase an item; And (2-4-3) If the preferred investor chooses to purchase the item, deduct the item purchased point from the retained investor's holding point, and adds the number of items purchased as the item to the number of recommended recommendation times, and then the above step (2- 4) repeating the following; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 4, wherein the process (3) (3-1) the recommendation evaluation management unit, calling the recommended item-specific item data for each expert investor stored in the process (2) of paragraph 4 from the database; (3-2) the recommender evaluation management unit, determining whether there are stocks not recommended for sale after buying recommendation among recommendation stocks for the adherent investors called in the step (3-1); (3-3) after the recommendation, if there is an item not recommended for sale, the main server computer connects to the stock exchange server to update the current price of the corresponding stock item; (3-4) The recommender valuation manager calls the recommended item data for each fixed investor updated in the above step (3-3), calculates the number of recommendations, the number of gains, the odds, the rate of return, the item variance, and then calculates the calculated data. Call out, if the referrer's overall return is greater than zero, If the total return of the recommender is less than 0 by {win rate + (rising number) ² × (variance of stock)-number of recommendation} × (return), the high score is calculated and processed according to (return rate) × 100. step; And (3-5) the high-loss management unit, providing a plurality of client terminals to perform a communication connection in real-time return and high-value evaluation data according to the recommendation history of a plurality of securities investors according to a plurality of investors; How to provide online securities information through Koangbang and Group. delete The method of claim 4, wherein the process (4), (4-1) receiving a plurality of client terminals performing communication access from the main server computer and returning the rate of return and adherence evaluation data according to the recommendation of a plurality of adherents on the screen; (4-2) determining, by the main server computer, whether a plurality of general investors or high-investors who have checked the yield rate and high-value evaluation data according to item recommendation by high-investor displayed on the screen select the high-loss subscription menu; (4-3) when the general investor or the coordinator selects the high water repellent menu, the main server computer outputs predetermined form data for selecting high water repellent, inputting a subscription period, and paying the subscription fee to the corresponding client terminal; (4-4) the client terminal inputting the data according to the predetermined form data output from the main server computer and outputting the corresponding data to the main server computer; (4-5) When a general investor or a coordinator selects a coriander from a particular coordinator, inputs the subscription period data and courier subscription payment data, and outputs it to the main server computer, the courier management unit is the general investor or the coordinator. Determining whether the subscription payment amount of the selected high-floor can be settled within a holding point; (4-6) if the payment amount of the coarse selected by the general investigator or the coordinator does not exceed the holding point, the high-loss management unit concludes the high-loss joining of the coordinating investor and the general investor; And (4-7) the high-loss management unit storing the high-loss subscription signal, subscription period data and high-loss subscription payment data of the specific high-investor input from the client terminal in the database; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. 12. The method of claim 11, wherein the determination result of step (4-5) indicates that the amount of the subscription of the coarse bag selected by the general investor and the superior investor exceeds the holding point. Outputting a message requesting point charging from the main server computer to the corresponding client terminal, and repeatedly performing the above step (4-2); On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 4, wherein the process (5), (5-1) the main server computer searching for the user information logged into the main server computer from the client terminal, and determining whether the logged in user has joined the high water room; (5-2) if the logged-in user has subscribed to the high water bag, the high water power management unit determining whether the high water-subscription subscription period of the logged in user is valid; (5-3) If the login period of the logged-in user is valid in step (5-2), the high-loss management unit recommends buying and selling securities stocks recommended by all the high-loss investors in the logged-in user. Calling data, note data, and high evaluation data from a database, and separately recommending item data from the called data; (5-4) determining whether there is a recommended item package data value transmitted from the client terminal to the main server computer; (5-5) If there is a recommended item package data value transmitted from the client terminal to the main server computer, the main server computer indicates that the recommended item package data value to be outputted in the step (5-3) from the client terminal to the main server computer. Comparing and comparing the transmitted recommended item package data value with whether there is a change; (5-6) determining whether there is a change in the value of the recommendation package data to be outputted as a result of the comparison operation of step (5-5); (5-7) If there is a change in the value of the recommended item package data to be output, the voice service manager converts the changed value into the voice data link address of the corresponding name and outputs the linked voice file to the client terminal in a streaming manner. step; (5-8) outputting the data called through the step (5-3) to the client terminal subscribed to the corresponding high-floor; And (5-9) determining at the main server computer whether the client terminal selects the web page 'refresh'; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 13, wherein the determination result of the step (5-9), if the client terminal selects the web page "refresh", The main server computer receives the recommended item package data value of the current web page outputted to the client terminal again, and repeats the above steps (5-3) until the client terminal does not 'refresh'. ; How to provide online securities information through the group and the group characterized in that it further comprises a. In the group system providing method in the online securities information providing system through a group and a group running on a main server computer connected to a plurality of client terminals and a network, (1) the main server computer, receiving information of the user logged in through the client terminal and comparing the data stored in the database to determine whether the general investor; (2) if the judgment result is a general investor, performing a group making or joining a group of general investors for group activities, and constructing a group or joining group signal and data into a database; (3) the main server computer performs a securities item recommendation of group members who have made or joined a group, and classifies the corresponding item data for each group member to build a database; (4) The main server computer can update the rate of return of the group members who recommended the item for a certain period in real time, construct the rate data of the group member's recommendation item as a database, and provide it to the terminals of the connected group members in real time. process; And (5) Securities item data and note data recommended by group members are packaged and provided from the main server computer to the general investor terminal subscribed to the group, and the recommended item voice files and texts are streamed according to the request of individual client terminals. A method of providing online securities information through a group of high-loss and characterized in that it comprises a; providing the data to the individual client terminal in a customized manner. The method of claim 15, wherein the process (2), (2-1) The main server computer outputs the group activity service information to the general investor terminal, and sees the group activity service information displayed on the monitor of the general investor terminal, and whether the general investor selects the 'create group' menu or joins the group. Responding to select a menu; (2-2) If the general investor selects 'Create Group' in the above step (2-1), (2-2-1) outputting predetermined form data for group formation from the main server computer to the general investor terminal; (2-2-2) the general investor, inputting the data according to predetermined form data output from the main server computer and outputting the corresponding data to the main server computer; (2-2-3) a group management unit of the main server computer, searching a database to determine whether there is a duplicate name among a group name which has been applied for group creation and an existing group name; (2-2-4) If there is no duplicate group name, the group management unit creates the group and outputs the data (for example, group name and group capacity) output to the main server computer in step (2-2-2). Storing a group introduction, an administrator's name, etc.) in a database; (2-3) If the general investor selects the 'join group' menu in the above step (2-1), (2-3-1) outputting group list data already generated from the main server computer to the general investor terminal; (2-3-2) the main server computer determining whether a specific group subscription request menu is selected from the general investor terminal; (2-3-3) if a specific group subscription request menu is selected, the main server computer outputs predetermined form data for joining the group to the general investor terminal; (2-3-4) the general investor inputting the data according to predetermined form data output from the main server computer and outputting the corresponding data to the main server computer; (2-3-5) the main server computer 50 determining whether the group subscription request has been approved by the administrator of the group through the group manager 170; (2-3-6) As a result of the judgment of step (2-3-5), if the subscription request is approved by the group manager, the group manager concludes the group subscription and returns to the main server computer in step (2-3-4). Storing the output data (eg, selected group name, member name, subscription introduction, etc.) in a database; And (2-3-7) If the result of the decision of step (2-3-5) is rejected by the group manager, the group manager outputs a message from the group manager to the general investor terminal that the subscription request is rejected, and the step (2-3-2) repeating the following steps; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 15, wherein the process (3), (3-1) the main server computer, receiving information of the user logged in through the client computer and comparing the data with the data stored in the database to determine whether the group member; (3-2) if the logged in user is a group member, the main server computer outputting the item search and recommendation form data to the corresponding group member terminal; (3-3) when the current item search signal is inputted by the group member, the main server computer connects to the stock exchange server to obtain real-time stock price data of the selected stock item and outputs the data to the corresponding group member terminal; (3-4) the main server computer, judging whether the securities item is recommended from the group member who confirmed the real-time stock price data; And (3-5) if the securities stock is recommended, the stock recommendation management unit divides the corresponding stock data into group members and stores them in a database; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. The method of claim 15, wherein the process (4), (4-1) the recommendation evaluation management unit calling the detailed item data for each group member stored in the step (3) of the item 15 from the database; (4-2) a step in which the recommendation evaluation management unit determines whether there is an item not recommended for sale after recommending buying among the recommended items for each group member called in the step (4-1); (4-3) after the recommendation, if there is an item not recommended for sale, the main server computer connects to the stock exchange server to update the current price of the corresponding stock item; (4-4) The recommender evaluation manager calls the updated item data for each group member updated in step (4-3), calculates the number of recommendation, the number of ascents, the odds, the rate of return, the item variance, and then calculates the calculated data. Call out, if the referrer's overall return is greater than zero, If the total return of a recommender is less than 0 by {win rate + (rising number) ² × (variance of stock)-number of recommendations} x (return), the group member evaluation score is calculated and stored according to (return rate) × 100 Doing; And (4-5) providing a rate of return and group member valuation data in real time according to the recommendation history of a plurality of group members to a plurality of group member terminals which have communicated with the group manager; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. delete The method of claim 15, wherein the process (5), (5-1) the main server computer, receiving information of the user logged in through the client terminal and comparing the data stored in the database to determine whether there is a group to which the logged-in user belongs; (5-2) If there is a group to which the logged-in user belongs in step (5-1), the group management unit displays securities item data, note data, and group member evaluation data recommended by members of the group to which the logged-in user belongs. Calling from a database and separately packaging the recommended item data among the called data; (5-3) determining whether there is a recommended item package data value transmitted from the client terminal to the main server computer; (5-4) If there is a recommended item package data value transmitted from the client terminal to the main server computer, the main server computer indicates that the recommended item package data value to be outputted in the step (5-2) from the client terminal to the main server computer. Comparing and comparing the transmitted recommended item package data value with whether there is a change; (5-5) determining whether there is a change in the value of the recommended item package data to be output as a result of the comparison operation of step (5-4); (5-6) If there is a change in the value of the recommended item package data to be output, the voice service manager converts the changed value into a voice data link address of the corresponding name and outputs the linked voice file to the client terminal in a streaming manner. step; (5-7) outputting the data called through the step (5-2) to the client terminal belonging to the group; And (5-8) determining at the main server computer whether the client terminal selects the web page 'refresh'; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. 21. The method of claim 20, wherein as a result of the determination in step 5-8, when the client terminal selects the web page 'refresh', The main server computer receives the recommended item package data value of the current web page outputted to the client terminal, and repeats the above steps (5-2) until the general investor does not refresh. ; On-line securities information providing method through the group and the high-loss, characterized in that comprises a. delete The method of claim 1, wherein the main server computer, In the voice service method executed in the voice service manager, (1) calling the 'changed value' extracted by comparing the recommended item package data transmitted from the client terminal to the server and the recommended item package data to be output; (2) uncoupling the called "changed values" to separate the data indicating the recommendation number, the recommendation code, and whether to buy or sell; (3) converting the separated data into a link address of a voice file in a database having a corresponding name; And (4) converting the link address and outputting the voice file linked to the client terminal in a streaming method; On-line securities information providing method through a high-loss and a group comprising a. delete delete delete

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