KR100315949B1 - System and Method for predicting stock market - Google Patents

Abstract

The present invention is proposed to predict individual stock prices in the future, and allows the user to predict and select a plurality of stocks to rise, a plurality of stocks to fall, a plurality of stocks to go up to an upper limit, and a plurality of stocks to go up to a lower limit. Making a step; Storing the data of the selecting step and making a database; Disclosed is a future stock price prediction method comprising calculating and displaying an upper limit value, a lower limit value, a lower prediction, and a higher prediction for the particular individual item selected in the selection step.

The present invention provides a system for this purpose, comprising: a client connected to the Internet for making a stock price voting request and requesting a result value inquiry; A stock price including a host server communicating with the plurality of clients, classifying and storing the stock price prediction voting contents transmitted from the plurality of clients, obtaining voting statistics, calculating a hit ratio and performance of the voting, and transmitting the result to the client. A prediction system is disclosed.

Description

System and Method for predicting stock market}

The present invention relates to a stock price prediction method and system, and more particularly, to a stock price prediction method and system that can provide a user with convenience and practicality by predicting future stock prices. On the basis of an earlier filing filed in 1999-39396, it claims domestic priority.

Prior applications have substantially disclosed the method according to the invention, which are obvious to those skilled in the art which can be easily designed, but insist on a domestic priority in order to more clearly protect the device.

Securities include bonds, notes, checks, and sovereignty. Among them, bonds and sovereignties fluctuate in value every day, and the changed value is expressed as the stock price of the day.

Interest in these stocks, an investment method that contributes soundly to industrial development, is growing and has a profound impact on the majority of the population.

Accordingly, in order to forecast a correct investment, a conventional expert predicts the rise or fall of a comprehensive stock price or the rise and fall of a specific individual stock through a specific medium, such as a newspaper, a TV, a magazine or an automated wired system. There is a case.

These predictions are meaningful in that they give investors the right direction of investment, but in reality, there is no forecast of the rise or fall of individual stocks of interest, or the rate of increase or decline, and the composite index is also an individual expert. As it was an opinion, it was inconvenient to examine all possible newspapers and magazines in order to judge whether such an opinion was correct.

The present invention has been made in order to supplement the conventional stock price prediction method as described above, and an object of the present invention is to provide a stock price prediction method and system that can help individual investors by predicting the closing price of individual securities having a variable value. To provide.

1 is a diagram illustrating what is shown on the screen to vote in the method according to the invention.

Figure 2 is a prediction graph showing the ranking of the turnout by item compared to the number of votes.

Figure 3 shows a schematic diagram of a system of an embodiment according to the present invention.

4 is a flowchart showing an operation procedure of the embodiment according to the present invention.

* Brief description of symbols for the main parts of the drawings *

10: client 20: host server

30: general server 40: database server

In order to achieve the above object, the present invention provides a method for predicting an individual stock price by voting using a web browser on a communication network and the Internet.

Specifically, providing a page for inputting the stock price forecast information to the terminal when there is a request for the stock price voting from any client terminal; Receiving, from the terminal, price fluctuation prediction information describing a stock price fluctuation prediction value for a price rise or fall for one or more individual items; Storing and storing the transmitted stock price forecast information; Calculating a voting distribution map of the stock price forecasting value for each of the individual stocks for which the stock price forecast voting is performed; Quantitatively displaying a calculated distribution of voting for individual stocks for which a stock price prediction voting has been carried out.

The system according to the present invention comprises: a client connected to the Internet to make a stock price voting request and to request the result of voting; A stock price prediction system including a host server communicating with the plurality of clients, classifying and storing the contents of the stock price prediction voting transmitted from the plurality of clients, obtaining statistics of voting, calculating a hit ratio and a result, and transmitting the result to the client. To provide.

The host server includes a general server which is responsible for transmitting and receiving information on the Internet, and which is in charge of actual data processing, and a database server which stores information and calls stored information.

The database server includes a member DB capable of member authentication, a stock item DB storing stock item information, a voting DB that updates and stores the votes of the members at regular intervals, and results in the past voting status. Alternatively, the database may further include a database including voting status accumulation DB accumulated in association with the hit rate, and an upper group DB that classifies and stores the upper group having a high performance or hit rate for a certain period of time.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 illustrates an example of a screen screen for predicting a stock price so that participants can select the upper and lower limit stocks of future stock prices. As illustrated, a stock selection box for selecting individual stocks is formed on the upper side.

It is preferable to arrange the search method in order of a, b, and c. Also, to find other English characters such as LG, it is desirable to have a column that can be searched in English characters.

It is desirable for each individual company to be coded for ease of input and future statistics.

There is a column in the lower side that allows you to select rising, falling, upper and lower limit items. In this example, 10 rising items can be selected. It would also be possible.

Select 10 individual companies, enter the code, and choose whether to increase 1-49% or 50-99%. Of course, at this time, as shown in the ascension, whether divided into two parts or divided into three parts or four parts is not necessary matter, of course, can be varied.

On the other hand, it is preferable to configure the falling stock in the same manner.

The upper and lower bounds are meaningless, so you only need to enter the upper and lower bounds.

Of course, if the stock market is bearish, there may be cases where only the lower and lower stocks are displayed.

In this state of completion, if the user selects the storage, ie, puts in the ballot box as shown in FIG. 1, the information entered by the individual is transferred to the database.

Of course, the configuration and position of the various description columns in Figure 1 can be changed, of course, the present invention is not limited to this shape.

In addition, as shown, it is also possible to selectively provide a useful information to the user by providing a column for displaying the real-time stock price, weekly trends, corporate analysis.

Table 1 below shows the results of the database that the information shown in FIG. 1 is input in communication. The division, the number of participants, and the number of items are displayed. The table shows examples of stock polls (abbreviated as SP), for example, about 1,000 people participated in the rise, 200 climbed stocks, 100 fall participants, and 150 stocks. It is.

Table 1

division Votes Event Increase 1000 200 degradation 100 150 Upper limit Lower limit system

This is a table that can predict the composite stock index can also be displayed in the graph shown in Figure 2 in order to make it easier to understand. Of course, you can replace it with a table, but the graph will be easy to see.

This table is for predicting future or future stock indexes. The users of this table can be used as an indicator for operating their own stocks by referring to the forecasts of multiple stock investors or analysts.

Table 2 shows the voting status inquiry table for the individual items, which are the key points of this embodiment.

Table 2

Often Total votes Increase degradation Upper limit Lower limit 1-49% 50-99% 1-49% 50-99%

All items may be displayed, but preferably, as shown in Table 2, the item codes are selected to be searched to be made on one screen.

Of course, it is also preferable to graph this similarly to FIG.

In this table, the item column, the total number of votes, the rise and fall are divided according to the division shown in FIG. 1, and the upper limit value and the lower limit value are respectively placed.

For example, if you want to know the voter's predictions about Hyundai Electronics, select Hyundai Electronics by searching in the item code, so that the Hyundai or related code appears in the item column, and rise and fall in the voting screen of FIG. It is assumed that the number of votes selected between the upper and lower limits is displayed in the total number of votes column, for example, 550 people have selected.

In addition, the number of voters for 1-49% rise and 50-99% rise will be extracted from the database.

Therefore, it is a rule to add up, down, high, and low to become total voters. In order to match this, the items shown in the upper limit among the columns shown in FIG. 1 should be configured so as not to be listed in the rise or fall.

Of course, even if there is no program to control Hyundai Electronics in the rise column and the upper limit column by mistake of the voter, it is natural that Table 2 is meaningful.

Table 3 is a chart presenting to the user on the actual and how accurate the predictions for the individual items according to the present invention are. This allows the user to have confidence in the prediction of the individual stock price according to this method.

(Table 3) Full Day Results

division SP Forecast KOSPI Performance Target Event Hit rate 1-49 50-99 1-49 50-99 1-49 50-99 1-49 50-99 Increase degradation Upper limit Lower limit

In other words, the performance can be divided into daily and weekly results, and the SP, i.e., the stocks predicted by voting by the method according to the present invention, the actual KOSPI results, and the number of hits, are also preferred. Also displays the hit ratio.

In addition, as shown in Table 4, it is preferable to display the weekly results by the same method. Of course, monthly results can be added if necessary.

(Table 4) Weekly results

division SP Forecast KOSPI Performance Target Event Hit rate 1-49 50-99 1-49 50-99 1-49 50-99 1-49 50-99 Increase degradation Upper limit Lower limit

Hereinafter, an embodiment of the device according to the present invention will be described in detail with reference to FIGS. 3 and 4.

Figure 3 shows a schematic diagram of a system according to a preferred embodiment of the present invention.

The system according to the present invention comprises a client 10 connected to the Internet to make a stock price voting request and to request a result value inquiry; The client 10 communicates with the plurality of clients 10, receives and classifies stock price prediction voting information transmitted from the plurality of clients 10, stores it, obtains voting statistics, calculates a hit rate and a performance, and then calculates the hit rate and performance. It includes a host server 20 to transmit.

The client 10 refers to a general Internet PC that supports Internet communication, an input unit including a modem, a LAN, an ISDN, an input unit including a mouse, a keyboard, and the like, an output unit such as a monitor and a speaker; It includes a web browser program for transmitting the request of the client 10 to the Internet, and connected to the Internet to transmit and receive information.

The host server 20 stores the data provided from the general server 30 and the general server 30 which actually communicates with the client 10 and actually processes a request of the client 10 such as sending and receiving an HTML file. And a database server 40 for searching and providing information called by the general server 30.

The general server 30 includes a web server 31 for transmitting and receiving data over the Internet to communicate with the client 10, a domain name server 33 storing address data of each server, and a file for exchanging files on the Internet. An FTP server 35 having a standard protocol and a mail server 37 for providing a mail service are included. Other servers may be added as necessary.

The database server 40 stores information in the database unit 43 that classifies and stores data, and stores the information in the database unit 43 according to the request of the general server 30. It includes a SQL Server (Structured Query Language) 41 to retrieve information and provide it to the general server (30).

The SQL server 41 refers to a structured query language server in which an ASP program, a CGI program, etc., which controls functions of data storage, update, and deletion of the database unit 43 are embedded.

The database unit 43 stores a member DB 51 storing information on members, a stock item DB 53 storing stock information, and information on stock price predictions voted by the members. The voting DB 55, the voting status DB 57 which accumulates and stores the results according to the voting results in a predetermined unit, and the upper group DB 59 which stores the list of the upper group according to its own setting. It consists of.

The stock item DB 53 of the database unit 43 stores basic information of each item listed on the exchange and the KOSDAQ, a code of the item, a classification, and the like, and detailed information of each item.

The service of the system according to the present invention may be provided to both non-members and members, but it is preferable to limit the case to members for more accurate analysis.

When the client 10 accesses the host server 20 and requests a service, the host server 20 sends a web page to the client 10 through which an ID and password can be authenticated. send.

When the ID and password are input through the input unit of the client 10 and transmitted to the host server 20 through a web browser program, the general server 30 of the host server 20 has an existing ID and password. A request is made to the database server 40 to check whether the member is a member of the server, and the SQL server 41 of the database server 40 searches for the member DB 51 and transmits the result to the general server 30.

The general server 30 performs member authentication based on the result value transmitted from the database server 40, and transmits the member registration page necessary for member registration to the client 10 to the user who has not been authenticated. The host server 20 classifies and stores member registration information transmitted from the client 10 in the member DB 51.

For membership registration, basic information such as member ID and password, and necessary information such as resident registration number or business corporation registration number should be entered. It is more preferable to be able to input such.

In addition, the member registered in the member DB 51 is preferably to identify and store the general member, analyst, and securities companies.

When a user authenticated as a member accesses a site provided by the host server 20 and clicks a stock price prediction voting button, a page for inputting a stock price prediction of an individual item is displayed from the host server 20. Is transmitted and displayed on the client 10.

The host server 20 provides an item code search window for searching a code of a corresponding item according to a member's request, so that the member can search for a code corresponding to the item and input the item code. When the item is input, the host server 20 may be configured to automatically convert the item to the item code to store. In the present embodiment, the latter case will be described.

Meanwhile, although the stock price forecast value may support a method in which the member directly inputs a numerical value, as shown in FIG. 1, it is necessary to support a method of selecting one of the stock price values divided into predetermined steps. It is preferable for convenience of later statistics, and this embodiment will be described by way of example.

In addition, it is possible to use a simple form of voting method to select the item expected to rise among the method of inputting the forecast value, by using this method, the member provides only simple prediction information on the rise or not instead of more detailed forecast information Will receive. Internally, only the event and the selected number of votes need to be added, so it can be implemented by simple operation processing.

The stock price fluctuation prediction data included in the voting database 55 is updated at regular intervals. The predetermined period may be divided into weekly units, monthly units, or second half of the first half, and the present embodiment will be described based on weekly units.

When the member inputs and predicts the stock price change of the next stock item of the individual item and executes the voting, the host server 20 is stored in the stock item DB 53 to convert the entered stock item into a stock item code. The stock item code is called, and the information transmitted from the client 10 is classified for each member so as to store a period, a called stock item code, a stock price change forecast value, and the like. Based on the data stored in the voting DB 55, the total number of votes and the number of votes according to the items and the total number of votes according to the items can be easily leaked, of course. This is a part that can be designed by those skilled in the art.

When the client 10 wants to see the recommended items of the week by accessing the website of the host server 20, the host server 20 may check the total vote items, the number of votes, and the expected change rate in the voting DB 55. The average of is calculated and sent to the client (10).

This is a result of aggregating the voting made this week and showing the result, which can be expressed in the form shown in Table 2. In other words, when the member predicts the stock price change next week, all stocks can be placed in random order when listed in the recommended stock menu, but they are provided in the order of the stocks with the highest expected increase rate based on the increase rate. More preferably, it is more preferable to allow a user to search the expected value of a particular individual event.

Meanwhile, the host server 20 updates the stock price prediction voting data of the voting DB 55 on a weekly basis, and the last voting status is accumulated and stored in the voting status cumulative DB. The host server 20 receives the actual share price change, compares the voting status stored in the voting status cumulative DB 57, calculates the hit ratio and the performance, and divides each member by the cumulative voting status cumulative DB 57. Let it save That is, the voting status cumulative DB is classified by member and the stock price prediction voting status is accumulated, and the performance and hit ratio for each member are also accumulated and stored. This is as described through Table 3, Table 4. The data accumulated in the voting status cumulative DB 57 is classified and stored as individual members such as general members and analysts, and group members such as securities companies. Of course, each member can be divided and separated into separate DBs.

In the case where the client 10 selects to view the top 100 of the last week's voters, the host server 20 sorts the last week's voting data among the data accumulated in the ballot status cumulative DB 57 in the order of high performance. Then, the list of 100 members linked to the performance is called and transmitted to the web browser of the client 10. Among the search conditions of the database server 40, a member may be a general member except a group member, or may be targeted to all members including a group member. The number and number of members may vary, and the present invention is not limited to the number of members and the number of members to be transmitted.

When a signal for viewing the weekly performance table of the stock recommender from the client 10 is transmitted to the host server 20, the host server 20 includes a securities company among information stored in the voting status cumulative DB 57. Call the performance of the last week of the group member to be sent to the client (10). More preferably, the host server 20 transmits a page for searching the performance of a specific group member to the client 10.

The host server 20 sets itself a reflection period hit rate, performance, etc. based on the past results stored in the voting status cumulative DB 57 to store a list of the corresponding members in the upper group DB 59. . The upper group DB 59 may be divided into a hit ratio upper group and a performance upper group, and the target members may be divided into individual members, group members, and all members according to their own settings.

For example, if a personal member having a hit ratio of 85% or more in a month has set its own search criteria of the upper hit ratio group, the host server 20 analyzes the data stored in the voting status cumulative DB 57 and the analyst and the general general. The list of members is called, and the called list is configured and stored in the upper group DB 59 as a table.

The host server 20 may also call the performance and hit rate associated with the roster as needed and store it in the upper group DB 59.

When a signal for requesting the display of the item voted this week through the client 10 is transmitted to the host server 20, the host server 20 transmits the self-configured upper group DB 59 to the host server 20. Call the member list corresponding to the high performance group among the members stored in the), and the item voted this week by the member corresponding to the called member list in the voting DB (55) by the web browser program of the client (10) To transmit. The web browser program of the client 10 receives the transmitted signal and displays the recommendation item of the high performance group in the output of the client 10.

In the same manner, the recommended items of the hit rate upper group may be displayed on the client 10 through the upper group DB 59 and the voting DB 55.

In each case, when displaying on the client, a method of outputting the result value in the form of a graph or in graph form can be used.

As described above, in the present invention, by using the Internet or domestic and overseas communication networks, the individual stock prediction is possible, and the vote in which the majority participates is actually reflected in the stock price, and the vote rate of any individual There is an advantage to judging whether it is high and it is possible to have only these groups of experts vote, which can be distinguished from public vote.

4 is a flowchart schematically illustrating an operation process of a system according to an exemplary embodiment of the present invention. When a user accesses a site provided by the host server 20 through the client 10, the host server ( 20) the member is authenticated through the member database (51) (S100) if the member is not a member registration, and the registered data is classified into individual members such as analysts and general members, and group members such as securities company Stored in the member DB (51) (S102).

When the authenticated member votes for next week's stock price change and votes this week (S104), the host server 20 provides information on the stock item selected by the corresponding member of the member DB 51, the stock item DB (53). ), And classifies and stores the member in the voting DB 55 in association with the voted expected stock price change rate (S106).

If the client 10 selects the list of recommendation (S108), the host server 20 calculates the total vote items, the number of votes, the expected change rate average, etc. in the voting DB 55 of the client 10 It transmits to the web browser program to be displayed on the client (10) (S110). This is the result of a vote on next week's expected share price change.

Before the host server 20 updates the contents of the voting DB 55, the member who voted as a result of voting last week stored in the voting DB 55 (hereinafter referred to as a voting voter), the voting item, and the expected change rate By calling the information on the cumulative voting status cumulative DB (57) (S112).

The host server 20 predicts the share price change of this week and compares the result of the voting performed last week with the actual share price change information to calculate the performance and hit rate, and classifies by voter to store the result in the cumulative ballot status DB 57. (S114).

The host server 20 calculates the performance upper group and the hit rate upper group for a specific period of time, respectively, and classifies and stores them in the upper group DB 59 (S116).

On the other hand, if the member selects to view the list of the top 100 performers through the client 10 (S118), the host server 20 based on the voting status cumulative DB (57) of the top 100 of the last week's voters Call to transmit to the web browser program of the client 10 to display (S120).

When the member selects the weekly performance view of the item recommendation through the client 10 (S122), the host server 20 calls the performance stored for each securities company in the voting status cumulative DB 57 and the client 10 Provided to (S124).

In addition, when the member selects to view the voting contents performed by the high performance group this week through the client 10 (S126), the host server 20 calls the high performance group list among the upper group DB 59. Then, the next voter votes this week, the next week's share price forecasts are taken from the voting DB (55) and sent to the web browser program of the client (10) (S128).

In the same manner, when the member selects the view of the voting contents performed by the hit rate upper group this week through the client 10 (S130), the host server 20 selects the hit rate upper group list among the upper group DB 59. Call, and the voter gets the next week's price fluctuations from the voting DB 55 and transmits them to the web browser program of the client 10 (S132).

Although the embodiment according to the present invention has been described above, this is merely an example, and various changes and modifications may be made without departing from the spirit of the present invention. However, it will be apparent from the appended claims that such changes and modifications fall within the scope of the present invention.

The present invention has the advantage that the user can predict the individual stock price by a plurality of voters in the communication, so that users can make a proper investment by combining the predictions of others to make predictions on the individual stock price of interest.

In addition, this method is very likely to be reflected in the actual share price because all the voters who participate in the actual shares, and also appear on the screen can be effective information for stock management.

Claims (11)

Providing a page for inputting price fluctuation prediction value information to the terminal when there is a request for executing a stock price prediction voting from any client terminal; Receiving, from the terminal, price fluctuation prediction information describing a stock price fluctuation prediction value for a price rise or fall for one or more individual items; Storing and storing the transmitted stock price forecast information; Calculating a voting distribution map of the stock price forecasting value for each of the individual stocks for which the stock price forecast voting is performed; And quantitatively displaying the calculated distribution of voting for the individual stocks for which the stock price prediction voting was conducted. The method of claim 1, wherein the price fluctuation prediction value is divided into a plurality of stages in which a rising or falling range is input by a client's selection. The method of claim 1, further comprising: displaying the stock price forecast information of the individual stocks for which the stock price prediction voting is performed and the results of the actual stock market. 4. The method of claim 3, wherein the result shown in the stock market is the result data of the previous day. 4. The method of claim 3, wherein the result shown in the stock market is last week's result data. A client connected to the Internet to make a stock price voting request and to request a result value inquiry; A host server communicating with the plurality of clients, classifying and storing the stock price prediction voting contents transmitted from the plurality of clients, obtaining voting statistics, calculating the hit ratio and performance of the voting, and transmitting the result to the client. Stock forecasting system comprising a. The method of claim 6, The host server, Member DB that stores information about the member, A stock stock DB that stores stock stock information, A voting database that stores information on the stock price predictions voted by the members; Voting status DB that accumulates and stores the results according to the results of voting on a certain basis, Upper group DB that stores list of upper group according to its own setting Stock price prediction system equipped with. The method of claim 1, wherein in order to quantitatively display the calculated distribution of votes for the individual stocks for which the stock price prediction voting was conducted, the number of voters distributed for the client's request, the total number of votes, the same stock price forecast, and the stock price forecast Stock price prediction method characterized in that the zoom by displaying together. The method of claim 1 or 3, further comprising: sorting and displaying the recommended items in the order of the items with the highest expected rate of increase. 10. The method of claim 9, further comprising: providing a list of stock price voting practitioners with a high hit rate to the stock price forecast voting when there is a request from the client terminal for a higher performance group inquiry. Way. The method of claim 10, further comprising: reading and providing an inquiry request of an item voting this week by any one voting operator belonging to a high-performing group from any client terminal, and providing the read request from the database. A stock price forecasting method characterized by the above-mentioned.