KR20050024494A - The method which analyze the trading volume of a bill broker in the online trading - Google Patents

Abstract

PURPOSE: A method for analyzing a trading quantity/pattern of a member company on online stock trading is provided to enable a user to maximize investment profit by offering an advantageous situation for making a trading strategy, as an average buying price, a remained quantity, a trading prediction, and trading history of each member company are offered to the user. CONSTITUTION: A user terminal requests connection to a security cooperation server receiving real-time stock information from a stock exchange/KOSDAQ(Korea Securities Dealers association Automated Quotations) server(S3). The stock cooperation server approves the connection by processing certification and user/account information(S4). The customer terminal requests item information to the security cooperation server(S5). The user terminal receives/displays the item information on a stock information display window and transmits a trading order to the security cooperation server(S10). The stock exchange/KOSDAQ server collects/transmits the trading quantity of the member companies to the security cooperation server(S19). The security cooperation server calculates/offers trading prediction information by operating a trading quantity analysis module(S23).

Description

The method which analyzes the trading volume of a bill broker in the online trading}

The present invention relates to a method for analyzing the trading volume of member companies in online securities trading, and in particular, the average purchase amount of a member for a specific item, holding amount, holding amount by period, member sales forecasting for predicting member trading, and transaction volume flow for each member company. The present invention relates to a calculation method that enables securities traders to more accurately grasp the flow of stock when buying securities by obtaining information on the execution history of each member company and the flow of remaining balance of individual member companies.

As shown in Figure 1, the conventional securities trading system for the currently sold stock trading, the securities company server (3) through the communication network (4) is the stock quotes, quotes quantity from the stock exchange / KOSDAQ server (5) It receives securities information, including transaction information and disclosure information, and provides information providing services and securities trading services to provide information to a plurality of user terminals (1). In other words, securities firms derive market and indicator information from the stock exchange / KOSDAQ server (5) by using various analysis techniques, and obtain market information including current price, quote price information, conclusion information, and trading volume information of member companies. By sending to the user terminal (1) of the securities to help traders to establish a timely trading strategy. When the user grasps the various securities information provided from the securities company server 3 and requests the securities company server 3 to sell securities, the securities company server 3 accesses the stock exchange / KOSDAQ server 5 to request the user's securities sale. It is configured to act as the processing of securities trading in accordance with.

As a result, users who trade securities can access professional stock information in real time without the time and effort of visiting securities companies. Therefore, users can use high-quality information for investment and securities trading in real time, thereby increasing the number of online stock trading users, increasing daily stock trading volume and expanding the stock market. In addition, it has solved the inconvenience of securities trading and waste of time, and it is possible to reduce the risk of failure and the loss of investment through inaccurate information. In practice, the likelihood of a return on investment has increased.

The online securities trading system of the prior art provides a lot of information provided to institutional investors to general users, and now general users who use the online securities trading system have access to high quality information as well as institutional investors. However, most of the users who use the online securities trading system, like institutional investors, often trade securities without clear analysis. In particular, by selling only the charts of time slots and time slots without macroscopic analysis, securities are traded, and even though small changes in the market prices are frequently hatched, the stocks are frequently sold. For example, the trading volume information, which shows the time-to-market and the total daily trading volume, shows only the closing price, contrast ratio, closing volume, and the number of trading volume. In this micro-listing of information, users are the main culprit of increasing losses rather than profits by repeatedly selling securities. It also leads to unfavorable results in terms of stock health.

In order to solve the problems in the related art, the present invention expanded the concept of trading volume of member companies, and used the concept of average amount of money, which means the average amount of money remaining and the average amount of money remaining.

Another object of the present invention was to use the concept of holding period by period to obtain the remaining amount for a certain period as a method of applying the remaining amount. For example, when the remaining balance of the previous day and the remaining balance from the previous day to today are compared and the two values are compared, it is possible to determine the increase / decrease of the remaining balance of the previous day and to obtain the changed amount.

It is another object of the present invention to use a member company trading prediction concept that can predict the trading of member companies using the remaining amount and the average number of purchases and the reference value set in the user or securities company server. The member company's trading forecast is to calculate the remaining amount and average purchase in accordance with the change in the trading volume of the member, and then predict whether the member will buy or sell through a series of analysis procedures.

Another object of the present invention was to use the concept of fastening history displayed by the member companies in each time zone to complement the fastening information displayed in the securities trading information, that is, the current price or the interest item window when the securities are concluded . Through the execution history of member companies by time zone, users using the online securities trading system can know the flow of securities from which member company to which member company.

Another object of the present invention was to use a member company's history of signing so as to know the change in the purchase of each member, the sale of the past holding balance according to the sale, the sale of the remaining balance, the remaining balance, the repurchase of the past holding amount, the average purchase over time.

The purpose of the above five inventions is to ultimately supplement the transparency of the securities flows so that value investments can be made by mid- and long-term stock trading rather than stock trading on the same day, and ultimately, the investors' maximum profit is possible. .

In the online securities trading of the present invention for achieving the above object, the transaction volume analysis method of member companies is connected to an unspecified number of communication lines so that data communication can be performed between the wired / wireless network communication network and online securities through a network communication network. A home trading system (HTS) or internet trading system (ITS) is installed to conduct transactions, and a home trading system (ITS) or internet trading system (ITS) is run to connect with a securities company to provide a When selecting the current window for the item or selecting the item of interest that registered the item of interest, the window is displayed on the screen and the window selection signal is output to the outside. The number of shares, including stock forecast, member price, current price, volume, and quotation information. Receives related data and displays various stock-related information that is changed in connection with the stock exchange / KOSDAQ server in real time and outputs to the plurality of user terminals in real time. It also handles the processing of the user's trading request by accessing the exchange / KOSDAQ server, and sells past holdings, holdings and past holdings by member companies through stock trading information and member trading volume information received from the stock exchange / KOSDAQ server. Obtain repurchase and sell remaining stocks, and obtain average buys when changing reserves, and analyze member holdings and average buys, extract member company forecasts that predict members' securities trading, and output them to multiple terminals. In addition, the execution history of member companies by time and member history from a plurality of user terminals. And a server functioning to output the analysis information to the corresponding window of the user terminal when there is a request signal.

At this time, the server of the brokerage firm described above has a configuration of a general brokerage server divided into three parts as shown in FIG. Communicates with the stock exchange / KOSDAQ server and processes the securities information received through the communication control unit 20-1 and the communication control unit 20-1, which outputs to a plurality of user terminals, and uses various analysis technologies. The main controller 20-2 and the main controller 20-2 to control securities information, securities account information, and interested items of a plurality of user terminal users, and to act on the securities trading request of the user. And a database unit 20-3 for storing the processed information.

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

3 is a diagram showing a functional diagram of the system configuration of the server of the present invention.

As shown in FIG. 3, the system according to an embodiment of the present invention for displaying a member company transaction volume analysis method in an online securities transaction includes a stock quote, a quotation information, a trading partner information, a disclosure information, and an underlying securities in the securities company server 20. Provides information and is provided by the stock exchange / KOSDAQ server 30 that performs the stock exchange and the stock exchange / KOSDAQ server 30 connected to the stock exchange / KOSDAQ server 30 through a communication network 50. Information, trading partner information, and trading volume information are calculated using the trading amount analysis method of the member companies, and the remaining amount, average number of purchases, holding amount by period, member company sales forecast, member company's execution history by time zone, member company's execution history, and through the communication network 40 The analysis information is provided to a plurality of user terminals 10 to be connected, and the stock exchange is connected to the stock exchange / KOSDAQ server 30 through a communication network 50 in response to a user's request for stock sale. The securities company server 20 and the securities company server 20 to be connected through the communication network 40 to request for the sale of securities, and to a plurality of user terminals (10) requesting information through the member company trading volume analysis method of the item It is composed.

The securities company server 20 is responsible for communication with the stock exchange / KOSDAQ server 30 and the communication control unit 20-1 responsible for output to a plurality of user terminal 10, and the stock exchange / KOSDAQ server 30 Processes stock quotes, quotes, transaction information, disclosures, and basic securities information received from the telecommunications control unit 20-1, and analyzes securities information using various securities analysis techniques. The main control unit 20-2 for controlling the information, the item of interest and the setting information, and processing the securities trading request of the user, and a database unit 20-3 for storing the processed information through the main control unit 20-2. It may be a securities company server or an Internet information provider server configured to have, characterized in that when the securities sales request of the user terminal 10, the securities company server 20 to act for the securities sales request of the user terminal (10) Stock Exchange / KOSDAQ Server (30) Securities sales by connecting to the network through the network (50), the stock exchange / KOSDAQ server 30 concludes the securities trading of each securities company server 20, and counts the amount of the transaction has been concluded, each securities company server (20) ) Transmits the changed member company transaction volume information through the communication network (50). The securities company server 20 calculates the purchase and sale of the member by subtracting the member company transaction volume and the member company transaction volume after the change from the received member company transaction volume, and performs the transaction volume analysis module 21 with the buy and sell arguments in the present invention. Calculate the defined past reserves sold (22), reserves (23), past reserves (24), and sell reserves (25). Calculation of the number of purchases, the analysis of the transaction amount analysis module 21 to apply the value calculated by applying the value of the residual period analysis module 27 for calculating the period of holding for each period and the member company sales prediction module for calculating the sales forecast of the member company (28) and outputs the calculated value to the user terminal, and when there is a request signal for the member company's execution history and the member company's execution history from the plurality of user terminals. It is characterized by having the function of outputting the calculated value to the corresponding window of the user terminal.

The user terminal 10 is a personal computer system such as a PDA, a mobile terminal such as a mobile terminal, a personal computer connected to a communication network, a laptop, all market information, securities account information, interest items and user preference information, analysis information, And a user interface 11 having a securities information display window 12 showing the average purchase amount, the remaining amount, the remaining amount for each period, the member purchase forecast, the closing history for each member company, and the closing history for each member company.

The user interface 11 is an online securities transaction using a web browser or a swap browser. That is, it may be an Internet Trading System (ITS) or a Home Trading System (HTS).

The stock information display window 12 may display all implemented functions of a general HTS (Home Trading System), and the stock information 13 includes the average number of items (14), the remaining amount of items (15), and the amount of remaining amount by period. The general items of the HTS (Home Trading System) are displayed except for the item 16, the member company sales forecast item 17, the member company's execution history display window 18 and the member company execution history display window 19. The average number of items displayed on the item 14 is the average number of pieces calculated by performing the analysis module 26, and the remaining amount item 15 is the amount of money remaining calculated by performing the transaction volume analysis module 21. The period of remaining balance item (16) is displayed on the basis of the period of remaining balance calculated by performing the period remaining balance analysis module (27), and the member company sales forecasting item (17) is carried out by the member company trading prediction module (28) The calculated sales forecasts for the member companies are displayed, and the execution history display window by member company by time zone displays the execution history of member companies by time zone so as to know the flow of transactions between member companies through buying and selling, and the member company execution history display window (19) In the past, the amount of historical reserves obtained through the transaction volume analysis module (21) (22), holdings (23), repurchases of past holdings (34), selling of holdings (25), and average purchases are sequentially sequential for each member company. Boy with It serves to show the members that signed the history.

When the user terminal 10 is connected to the securities company server 20 through the communication network 40, and requests the securities company server 20 to sell the securities, the securities company server 20 is the user terminal. In order to act as a securities trading request of (10) to the stock exchange / KOSDAQ server 30 through the communication network (50) to represent the securities trading, the stock exchange / KOSDAQ server 30 to each securities company server (20) Process the conclusion information on the securities trading request from, and counts the amount of the changed and concluded transaction and transmits the changed member company transaction volume information through the communication network 50 to each securities company server (20). At this time, the securities company server 20 calculates the purchase and sale of the member by subtracting the transaction amount of the member company before the change and the transaction amount of the member company after the change, and performs the transaction volume analysis module 21 with the purchase and sale as arguments. Calculate the remaining selling 22, holding 23, repurchasing past holding 24 and selling holding 25, and calculating the average buying by performing the analysis module 26 when changing the holding remaining. do. The calculated information functions to store the database by performing the database unit 20-3.

The average number of purchase analysis module 26 is performed when the remaining amount is changed. When the remaining balance is changed, it means when the amount of the remaining balance is sold and the amount of the remaining balance is increased after repurchasing at the same time or resetting the remaining balance or performing the transaction analysis module 21.

The average number of purchase analysis module 26 calculates the average number of purchases by calculating the increased or reset net purchase amount as shown in 5-1 of FIG. A detailed flowchart is illustrated in FIG.

The above-described retention balance analysis module 27 for each period is a module for calculating the retention balance for each period to obtain a retention balance for a predetermined period. The flowchart for this is illustrated in FIG. As shown in Fig. 11, when the remaining amount of a given period is obtained, the selling of the past holding amount, repurchase of the previous holding amount, and holding amount of each day from the start date to the last day are calculated using the given equation.

Referring to the main operation, in the case of repurchasing the past holding balance in 11-1 of FIG. 11, when the amount of repurchase of the previous holding balance is greater than the holding balance, that is, the repurchase amount is sold again and the holding balance is in the past. When the residual amount is less than the repurchase, the difference (past repurchase amount-remaining residual amount) is assumed to be sold to the past holding amount, and the subsequent calculation is performed after deducting from the residual amount by period. In the case of 11-2, if the remaining balance for each period obtained to date is less than or equal to 0, if the previous holding balance is greater than the remaining balance for the period obtained until the present, or if it is equal to 11-1 above In this case, we assume that the total amount of holdings held so far is to be sold. The use of the retained balance over time is illustrated in FIG. In FIG. 22, the remaining balance for each period is mainly used for displaying the remaining balance from a certain point in time in the past to the present day, as in the previous day to today's retention amount 122. In FIG. 22, when the previous day to today's holding amount 122 is used in comparison with the previous day's holding amount 121, the day / day holding amount 122 determines whether there is an increase / decrease in the present day's holding amount, and a changed amount can be obtained. In the case of the above example, the remaining amount increased by 176,010 shares from the previous day.

The member company sales forecasting module 28 is an analysis module that calculates the remaining amount, the average number of purchases described above, the present price and the set reference value of the user or the securities company server, and predicts the selling of each member company. Flow charts for this are illustrated in Figs. 12, 13, 14, 15, 16, 17, 18, and 19. Examples of this are as shown in 120 of FIG. 22 and 120 of FIG.

Detailed description of the member company sales prediction module 28 will be described with reference to the flowcharts (Figs. 12, 13, 14, 15, 16, 17, 18, and 19).

The member company sales forecasting module 28 described in the present invention compares the previous day's holdings, the present day's holdings and the average number of purchases thereof, and compares the current price with the set reference value of the user or securities company server. A. The calculation is performed by comparing the today's average purchase with respect to the present day's holdings with the set reference value of the user or the securities company server.

The flow chart (Fig. 12, Fig. 13, Fig. 14, Fig. 15, Fig. 16, Fig. 17, Fig. 18, Fig. 19) for the member company sales forecasting module 28 has three types (the current price, the previous day's average purchase, and the today's average purchase). The treatment for six cases of) values is described.

12 and 13 are flowcharts for the case where the average daily purchase and today's average purchase are lower than the current price. This is the case when the average daily number of sheets <= today's average number <present price) or (the average number of today's number of sheets <= previous day's average price <current price).

14 and 15 are flowcharts for the case where the average number of previous sheets < present is <

Fig. 16 and Fig. 17 are flowcharts for the case where the average daily number of sheets <present is <= previous day average number of sheets is a comparison formula.

18 and 19 are flowcharts for the case where the average daily purchase and today's average purchase are larger than the current price. This is the case when the current price <= average price of the previous day <= average price of the day of the day) or (the current price of <= average price of the day of the day <= average price of the day of the week).

The reference value 12-1 used for convenience in FIG. 12 (the value "5%" illustrated herein) may be set to another value in the user or securities company server, and "5%" is used herein for convenience. . The reference value 12-1, the value " 5% " exemplified herein, is used likewise in FIGS. 13, 14, 15, 16, 17, 18, and 19 and is omitted without numbering.

The above-described securities trading processing module 29 is the main controller 20-2 of the securities company server 20, the transaction volume analysis module 21 described above, the remaining balance calculation module 27 for each period, the member company trading prediction module ( This module is in charge of all processing of securities trading except 28).

The process and process will be described in detail with reference to an embodiment of the data processing flow of FIG. 4 as described above.

As shown in FIG. 4, the securities company server 20 is connected to the stock exchange / KOSDAQ server 30 (S1) and receives securities information in real time (S2).

The user terminal 10 requests a connection (S3) to the securities company server 20 for the securities trading, the securities company server 20 performs the processing (S4) for authentication, user information, account information, etc. according to the connection Approve the connection to the terminal 10. The user terminal 10 requests securities company server 20 item information such as the remaining amount, the average number of purchases, the current price, transaction volume, fluctuation rate, etc., including member company sales forecasting in order to sell securities (S5). The securities company server 20 transmits the item information to the user terminal 10 after performing the requested process (S6) (S6) (S7). The user terminal 10 having received the item information displays the item information in the stock information display window 12 (S8).

The user establishes a trading strategy based on the displayed item information, and then requests a trading order (S9) from the securities company server 20 (S10) at an appropriate time. The securities company server 20 acts on the securities trading orders to the stock exchange / KOSDAQ server 30 to process the securities sales orders requested (S10) (S12). The stock exchange / KOSDAQ server 30 concludes a transaction for the requested stock sale (S13), and then transmits the conclusion information to the securities company server 10 (S14). The securities firm server 10 transmits the conclusion information to the user terminal 10 requesting the securities trading after performing the calculation (S15) on the conclusion information (S16). Using the received stock information, the user terminal 10 updates the stock information display window 12 to display the signed information (S17).

Meanwhile, the stock exchange / KOSDAQ server 30 concludes a transaction for a stock sale request from each securities company server 20 for a predetermined time after the securities trading order (S9) of the user terminal. S18) and transmits the changed member company transaction volume information to the securities company server 20 (S19). The securities firm server 20 receives the member company transaction volume information, subtracts the member company transaction volume after the change and the member company transaction volume after the change, and calculates the buy and sell of the member company, and performs the transaction volume analysis module (S20) by taking the buy and sell arguments. It is to calculate the past holding balance (22), holding balance (23), repurchase of the previous holding balance (24), selling the holding balance (25), and when the remaining balance is changed, the average purchase price is changed by performing the analysis module 26. Calculate the average number of purchases for the remaining balance. The information calculated by performing the transaction volume analysis module 21 becomes the basic data of the sales prediction module S21 for each member company, and calculates the sales forecast information for the member companies.

The holding balance, average number of purchases calculated after execution of the transaction volume analysis module (S20) and the trading forecasts of the member companies calculated after executing the sales forecasting module for each member company (S21), and the remaining balance calculated by applying the calculated transaction analysis module (S20) , S22 and S23 are transmitted to each user terminal S10, and displayed on the stock information display window 12 of the user terminal 10 (S24).

In the case of displaying the execution history of the member companies by time zone, when the user terminal S10 requests the display of the securities company server 20 (S100), the securities company server 20 outputs the execution history of the member companies by time zone from the database (S101). In order to transmit to the user terminal 10 (S102), the user terminal 10 displays the transmission history for each member company by time zone (S103).

In the case of displaying the member company execution history, when the user terminal 10 requests the display to the securities company server 20 (S200), the securities company server 20 outputs the member company execution history from the database (S201), and the user terminal 10 In step S202, the user terminal 10 displays the transmitted member company fastening history (S203).

As described above, the securities company server 20 processes the securities firms request from the user terminal 10 through S11 through S23 to sell the remaining holdings, the remaining amount, the remaining holdings, the remaining selling amount, and the average buying amount. It calculates the remaining amount, member company sales forecast, and transmits the calculated result to the user terminal 10, the user terminal displays the changed information.

In the case of the member company's execution history and the member company's execution history by time zone, the user terminal 10 transmits the selection history display window 18 and the member company execution history display window 19 by member time to the securities company server 20, and the securities company server. 20 processes the signal and transmits the member company's execution history and the member company's execution history to the user terminal 10 for each signal, and the user terminal displays the changed information.

The concept of the present invention sells past holdings 22, holdings 23, repurchases 24 holdings, selling holdings 25, average purchases, holdings by period, member purchase forecasting, securities company server ( According to the configuration method of 20), it may be displayed by the window selection signal, such as the member company's execution history and member company's execution history by time zone, and the member's execution history and member company's execution history are also included in the configuration method of the securities company server 20. Accordingly, the securities firms request of the user terminal 10 may be displayed after the process from S11 to S23 of the securities company server 20.

The flowchart of the transaction volume analysis module 21 that calculates the concept of past holdings 22, holdings 23, repurchasing holdings 24, selling holdings 25, and these concepts mentioned in FIG. 7, 8, 9, and 10 are illustrated. As described above, the acquisition calculation of the transaction volume analysis module 21, after the securities trading request to the securities company server 20 of the user terminal 10, the stock exchange / KOSDAQ server 30 concludes the transaction, and is concluded and changed After counting the trading volume of the member company, and transmits the information of the trading volume of the member company to the securities company server 20, the securities company server 20 calculates the purchase and sale of the member company by subtracting the member company transaction volume before the change and the member company transaction volume after the change. The transaction volume analysis module 21 is performed using the selling argument. The detailed description of the transaction volume analysis module 21 excluding the average number of analysis modules will be described with reference to the flowcharts (FIGS. 6, 7, 8, 9, and 10).

6 is a case in which the first securities transaction of the member companies occurs after the opening of the stock market, and in particular, a flowchart of the case in which the purchase occurs.

7 is a flowchart illustrating a case where a purchase occurs for the first time in a securities transaction in which only a sell occurs.

8 is a flowchart of a case where a sell is greater than zero and the sell is zero, and only a sell is generated.

9 is a flowchart of a securities transaction in which a sell is 0 and a buy is generated with a value greater than zero.

10 is a flowchart of a securities transaction in which a sell is greater than zero and a buy occurs in a value greater than zero.

The execution history display window 18 for each member time period described above is a display window for knowing the flow of transactions between member companies, and FIG. 20 illustrates the execution history screen for each member time period. After requesting a trading agency to the securities company server 20 of the user terminal 10, and concludes a transaction on the stock exchange / KOSDAQ server 30, after the number of transactions concluded and the changed transaction volume is counted, the member company transaction volume information changed in the securities company server (20) When sending, the securities firm server 20 calculates the selling member company 101 and the buying member company 106 for each member company by subtracting the trading amount of the member company before the change and the trading amount of the member company after the change, and sell 102 and buy 105 of the member company. To calculate. Displaying the purchase and sell by time zone 100 is a signing history screen for each member company illustrated in FIG. 9. As shown in 107 and 108 of FIG. 20, it is possible to grasp the flow of the sell 102 and buy 105 transactions between the selling member company 101 and the buying member company 106 over time 100. In the analysis of the transaction flow of 107, Hyundai Securities and Kiwoom.com bought the amount sold at Daishin Securities at a price of 120 won, and the flow of 108 transactions was the same as LG Securities. It was bought for 125 won by member companies other than dogs. As such, the execution history screen for each member company by time can grasp the flow of sales between member companies.

To describe in detail the time 100 of the above example, since the processing time for the securities trading is different for each member company server, the stock exchange / KOSDAQ server 30 is concluded and each securities company server 20 in the process of counting the changed transaction volume After waiting for a certain time to wait for the response, the changed transaction volume is aggregated and sent to each securities company. Therefore, it may not be counted to reflect the transaction volume changed in real time as the actual closing time. Therefore, as shown in FIG. 20, the time 100 should be treated as one reference time from a predetermined time to a predetermined time. That is, 108 data of FIG. 20 represents data received from 10:18:30 to 10:19:30 as 10:19:30. In addition, the time notation may be expressed in units of hours and minutes except for seconds by applying the above concept.

The member company execution history display window 19 described above is data displayed for each member company time zone in the execution history for each member company described above. Figure 21 illustrates a member company fastening history screen. As illustrated in FIG. 21, according to the change of the time 100 according to the selling 102 and the buying 105, the average purchase 104 of the member company, the selling of the remaining reserve 22, and the selling of the remaining balance 25 are performed. It can be seen that the change in the remaining holding amount 23 and the previous holding amount repurchase 24. This allows you to identify the nature of a member's company, whether the member buys or sells, buys, or at what price.

So far, the functional configuration of the system configuration of the server of the present invention and the terms of the present invention have been described.

As an example screen for comprehensively illustrating the present invention, a member company transaction volume analysis method integration screen such as the member company transaction volume analysis information screen of FIG. 22 may be newly generated in the stock information display window 12. The stock trading request of each user and the trading of the stock exchange / KOSDAQ server 30 and the aggregated and changed member company trading volume are transmitted to the securities company server 20, and the securities company server 20 transmits the items of FIG. 22 to the user terminal 10. And the user terminal 10 is a procedure for automatically updating and displaying the stock information display window 12 is shown in Figure 22, the basic display unit of Figure 22 is a member company 123, each member company Member purchase forecast (120), average purchase (104), holdings (23), past holdings repurchase (24), past holdings (25), previous holdings (121), holdings by period ( 122) and a minimum holding balance (124) to obtain a minimum holding balance for a member's day.

FIG. 23 is an exemplary screen showing a holding amount 23, an average number of purchases 104, and a member company sales forecast 120, which are terms of the present invention, on a member company trading amount screen of a general HTS (Home Trading System) screen. Displaying the remaining amount (23) and the average number of purchases (104) for each member company to show users intuitive trading volume information, and guides the trading of securities by displaying the trading forecast (120) information for each member's trading volume Provide a line.

The present invention described above provides the user with the average purchase of the securities trading orders, holding amount, holding amount by period, member company sales forecast, member company's execution history by time, member company's execution history by providing the user with a strategy for trading securities It creates the more favorable situation in the establishment and provides the effect to maximize the investment profit. In addition, it will ultimately supplement the transparency of the stock flow to invest value in mid- to long-term trading rather than day-to-day trading.

1 is a diagram showing a network structure of the online stock trading system in the prior art.

2 is a diagram showing a system configuration of a server of the present invention.

Figure 3 is a diagram showing the functional diagram of the server of the present invention.

4 is a data flow diagram illustrating an embodiment of a data flow of a server of the present invention and a process of the present invention.

5 is a flowchart of an analysis module of the average number of transactions in the transaction volume analysis module of the present invention.

6 is a flowchart of a transaction volume analysis module excluding the analysis module of the average number of purchases of the present invention.

7 is a flowchart of a transaction volume analysis module excluding the analysis module of the average purchase quantity of the present invention.

8 is a flowchart of a transaction volume analysis module excluding the analysis module of the present invention, in particular, in a case where the comparison expression (Sell> 0 AND number = 0).

9 is a flowchart of the transaction volume analysis module excluding the analysis module of the present invention, in particular, in a case where the comparison expression (sell = 0 AND number of purchases> 0).

10 is a flowchart of a transaction volume analysis module excluding the analysis module of the present invention, in particular, in a case where the comparison expression (Sell> 0 AND number> 0).

Figure 11 is a flow chart for the holding balance analysis module for each period of the present invention.

12 and 13 are flowcharts of the member company sales forecasting module of the present invention, in particular, a flowchart of a case in which the average daily purchase and the average daily purchase are lower than the current price.

FIG. 14 and FIG. 15 are flowcharts of the member company sales forecasting module of the present invention, and in particular, a flowchart of a case where the average daily number of sheets <current day <= today's average number of sheets is a comparative formula;

Fig. 16 and Fig. 17 are flowcharts of the member company sales forecasting module of the present invention, and in particular, a flowchart of the case where the average daily number of sheets is <current day <= previous day average number of sheets) as a comparative formula.

18 and 19 are flowcharts of the member company sales forecasting module of the present invention, in particular, a flowchart of a case in which the average daily purchase and the average daily purchase are larger than the current price.

20 is a screen example of the execution history for each member time zone.

Figure 21 is a member company fastening history example screen.

22 is an example screen for analyzing the trading volume of member companies.

23 is an example company trading volume screen.

24 is a reference diagram of an embodiment of the transaction volume analysis module excluding the analysis module, in which the average number of purchases of the present invention is shown.

25 is a reference view of an embodiment of a transaction volume analysis module excluding the analysis module of the average purchase quantity of the present invention.

FIG. 26 is a reference diagram of an embodiment of a transaction volume analysis module excluding the analysis module of the present invention. In particular, it is an example of a case in which a comparison expression (sell> 0 AND number = 0).

FIG. 27 is a reference view of an embodiment of a transaction volume analysis module excluding the analysis module of the present invention, and is an example of a case where (a seller = 0 AND number> 0) as a comparison expression.

FIG. 28 is a reference diagram of an embodiment of a transaction volume analysis module excluding an analysis module of the present invention, and is an example of a case in which the comparison formula (sell> 0 AND number> 0).

* Explanation of the main symbols in the drawings

10: user terminal

20: member company server

30: Stock Exchange / KOSDAQ Server

40: communication network

50: communication network

11: user interface

Claims (10)

A wired / wireless network communication network that connects an unspecified communication line to enable data communication between each other, and an HTS (Home Trading System) or an Internet Trading System (ITS) to perform online securities transactions through the network. Installed, The HTS (Home Trading System) or ITS (Internet Trading System) is executed, Communication control unit which is in charge of communication with the stock exchange / KOSDAQ server and outputs to a plurality of user terminals, and stock quote, quotation information, trading information, disclosure information and basic securities received from the stock exchange / KOSDAQ server through the communication control unit. The main control unit, which processes the information, analyzes the securities information by using various securities analysis technology, controls the user's personal information, securities account information, items of interest and environmental information, and processes the user's securities trading request, and the main controller After being connected through a communication control unit to a securities company server or an Internet information provider's server configured to have a database unit for storing the processed information, each user selects a current window for any item among various menus or the item of interest. When selecting the window of interest registered with the relevant window, the corresponding window is displayed on the stock information display window. At the same time, the corresponding window selection signal is output to the securities company server, and in response, the securities company server performs the main control unit to extract stock-related data such as item name, present price, trading volume, and quotation information, and transmits the stock-related data to the communication controller. And a plurality of user terminals that receive the stock related data and display the corresponding window of a stock information display window, and various stock related information that is changed in connection with a stock exchange / KOSDAQ server in real time. It outputs to the terminal, responds to the user's request for securities trading through the user terminal, and acts on the stock exchange / KOSDAQ server, and receives the changed member company trading volume information from the stock exchange / KOSDAQ server through the communication control unit. By performing stock-related data such as trading volume In the on-line securities trading system for transmitting the stock to the user terminal through the communication control unit, the user terminal displays the stock-related data such as the amount of the member company received in the window of the stock information display window, The securities company server calculates the buy and sell by calculating the information on the trading volume of the member companies, and the average number of purchases performed when the remaining amount occurs after performing the trading volume analysis module based on the buy and sell, and applies the analysis module and the results of performing the two analysis modules. The operation is performed by performing a member buying prediction module performed as a function, and when the current window or the item of interest window selection signal according to the selection of each user is input from the plurality of user terminals, the calculated remaining amount and average number of purchases are calculated; It is configured to include a server to output the remaining balance extracted by the period carried out by performing the analysis of the transaction volume analysis module applied to the calculation results and the member company sales forecast extracted by performing the member company sales forecasting module in the corresponding window. , In addition, when a selection history display window selection signal for each member company according to each user's selection is input from the plurality of user terminals, the time period for displaying the buy and sell calculated by subtracting the member company transaction volume after the change and the member company transaction volume after the change according to the time period Execution history by member company If the member company's execution history display window selection signal according to the user's selection is input from the plurality of user terminals, the purchase and sale calculated by subtracting the transaction amount of the member company before the change and the transaction amount of the member company after the change and the historical retention calculated as a result of executing the transaction volume analysis module On-line securities, characterized by displaying the member company's execution history, which displays the average number of companies calculated as a result of the analysis module execution, repurchase of remaining balance, remaining balance, past holding balance, and average purchase for each member's time zone How to Analyze Member Trading Volume in a Transaction. In the method of extracting the buy and sell from the changed member trading volume of claim 1, The securities company server is a method of analyzing a member company's transaction volume in online securities trading, characterized in that the member's transaction volume before the change and the member company's transaction volume after the change is calculated. In the method of performing the transaction volume analysis module of claim 1, Calculating the buy and sell of claim 2, and calculating the buy and sell of the previous holdings, the purchase of the remaining holdings, the repurchase of the holdings of the past, and the sale of the holdings by performing a transaction analysis module with the calculated arguments; When the remaining balance changes, that is, when the remaining amount increases or resets the remaining amount, the method of analyzing the trading volume of the member companies in the online securities transaction comprising the step of calculating the average number of purchases by performing the analysis module. In the method of performing the member company sales prediction module of claim 1, Perform the transaction analysis module as described in paragraph 3, and the average purchase price is calculated by performing the analysis module. A, a method for analyzing a member company's transaction volume in online securities transactions, comprising calculating a member company's trading forecast using the current price and a reference value set in a user or a securities company server In the reference value of claim 4, The reference value is a value set by a user or a method of analyzing a member company's transaction volume in an online securities transaction, which uses a default value set in a securities company server. In the method of performing a holding balance analysis module for each period of claim 1, An online securities transaction comprising performing a transaction analysis module as described in claim 3 and calculating a holding balance for each period by using the past holding balance, the holding balance, the repurchase of the previous holding balance, and the selling of the holding balance. How to analyze trading volume of member companies In displaying the execution history of member companies by time zone of claim 1, A method of analyzing a member company's trading volume in an online securities transaction comprising displaying the buy and sell calculated in claim 2 and the member companies for each member time zone In displaying the signing history of the member companies by time zone of claim 1, The purchase and sell calculated in claim 2, and the sell-off, reserves, repurchases, reserves and average purchases calculated in paragraph 3 are displayed for each member time period. How to Analyze Member Trading Volume in Online Securities Trading? After performing the claims 2, 3 and 4, in the online securities transaction, the average number of purchases reflecting the results of the execution is sent to the user terminal, and the remaining balance and the member company's sales forecast are displayed on the corresponding window of the user terminal. How to analyze trading volume of member companies. In the window display of the user terminal of claim 9, A method for analyzing a member company's trading volume in online securities trading, wherein the window for displaying the average number of purchases, the remaining amount, and the member company's trading forecast is additionally displayed on the window displaying the member company trading volume of the window or the item of interest window.