JP5519350B2 - Order system and program - Google Patents

Description

  The present invention relates to an order system, an order processing method, and a program that are configured by a computer that executes a process for accepting a purchase order for a financial product, and can be used, for example, when accepting a trade order for securities such as stocks.

  Generally, when buying and selling securities such as stocks in a trading market, an investor places an order through a securities company mainly using the limit and market functions. There is also a securities company system that accepts a conditional order called a stop price that buys when the stock price exceeds a certain price and sells when the stock price falls below a certain price. In addition, some investors use external factors such as NY stock prices, foreign exchange rates, and crude oil prices as the basis for making investment decisions in addition to economic indicators.

  A system that quantitatively analyzes future stock prices in consideration of changes in the external environment is known (see Patent Document 1). In this system, regression analysis is performed with variables such as interest rate, exchange rate, price index, and GDP to predict future stock prices.

JP 2009-9502 A

  As described above, for example, orders with conditions relating to stock prices such as limit orders and stop limit orders are accepted. However, external factors such as foreign exchange that can affect stock prices are used as a basis for investment decisions by some investment experts, but investors themselves monitor changes in various external factor data. Therefore, it is only possible to determine an appropriate investment time and place an order.

  Accordingly, when investing in stock in consideration of fluctuations in external factor data, the investor's monitoring burden increases. And as a result of the large monitoring burden, there is a risk of loss of investment opportunities.

  Some investment professionals have the knowledge to determine what kind of external factors can affect which stocks, but in the case of general investors It is also relatively difficult to determine external factors that correlate with the stocks being traded. In addition, the impact of external factors on each issue is different, so even if you are an investment expert, it is difficult and time-consuming to determine the correlation each time. The greater the number of external factors, or the greater the number of issues to be traded at the same time, the more prominent the judgment will be.

  And the above thing is a problem which arises similarly not only in the case of the trading order of securities, such as stocks, but when performing the trading order of the whole financial product. In other words, although there has been a philosophy of placing an order to buy and sell financial products in consideration of fluctuations in external factor data, trying to realize this would increase the burden of investor monitoring, and it would take time to make a decision. Or, in the first place, there is a problem that it may be difficult to identify external factors that are correlated with each brand of financial product.

  An object of the present invention is to provide an order system, an order processing method, and a program that can reduce the monitoring burden on the investor and improve the convenience of the investor.

  <For conditional orders>

  The present invention is an order system configured by a computer that executes processing for accepting a purchase order for a financial product, and external factor identification information about an external factor correlated with each stock of the financial product, The correlation database stored in association with the brand identification information and the brand identification information about the ordered brand transmitted from the investor terminal device via the network are received, and the external factor identification information corresponding to the received brand identification information is received. Order screen display data acquired from the correlation database and using the external factor of the acquired external factor identification information as an order condition item is sent to the investor terminal device via the network, and from the investor terminal device via the network Order conditions that include conditions related to external factors sent in Conditional order reception processing means for executing processing for receiving order data including information, and order data received by this conditional order reception processing means are associated with investor identification information for the investor who entered the order Whether or not an ordering condition including a condition relating to an external factor included in the order data stored in the order database is satisfied by using the order database stored in this order and the current value of the external factor data stored in the external factor database Order condition success / failure determination processing means for repeatedly executing the process of determining the order condition data created using the order data stored in the order database when it is determined that the order condition is satisfied by the order condition success / failure determination processing means Order processing means for executing processing for transmitting the information to the financial instruments transaction market system via a communication line. The one in which the features.

  Here, the “external factors correlated with each stock of financial instruments” stored in the “correlation database” may be external factors identified through statistical analysis using past data, or investment It may be an external factor that the house registered in advance at its own discretion.

  In such an order system of the present invention, the external factor of the external factor identification information acquired from the correlation database is displayed as an order condition item on the order screen by the conditional order reception processing means, and the order brand is displayed as the order data. Accepts the ordering conditions configured including the conditions related to external factors together with the brand identification information about, and the ordering condition success / failure determination processing means monitors whether or not the accepted ordering conditions are met, and if the ordering conditions are met Then, the order processing means performs order processing on the financial product transaction market system.

  For this reason, if an investor inputs an ordering condition including conditions related to external factors on the ordering screen, the monitoring process by the ordering condition success / failure determination processing means is performed, and the ordering condition is satisfied. Since it is possible to place an order on the trading market at an appropriate time, the monitoring burden on the investor is reduced when realizing the purchase / sale order of the financial product in consideration of external factors.

  In addition, since the success / failure determination of the order condition configured including the condition relating to the external factor is performed by the order condition success / failure determination processing means, that is, by the system, it is possible to suppress the occurrence of loss of investment opportunities.

  Furthermore, since the external factor of the external factor identification information acquired from the correlation database is displayed as an order condition item on the order screen, the investor uses or displays the external factor displayed as the order condition item on the order screen. Select the required external factors from the external factors selected, and the conditions related to the external factors (for example, the condition that the value of the external factor data is more or less, somewhat less, somewhat higher or lower than the previous day) Therefore, when entering the ordering conditions, there is no need to think about external factors that have a correlation with the issue to be traded, trace information related to the issue, or reconfirm the knowledge. This will improve the convenience for investors.

  Since the external factors of the external factor identification information acquired from the correlation database are displayed as ordering condition items on the order screen, even a general investor with relatively little knowledge has a correlation with the trading target stock. It becomes possible to grasp a certain external factor and input conditions relating to the external factor, and this also improves the convenience of the investor and achieves the above-mentioned purpose.

In the order system described above, a plurality of past values of price data of financial products stored in the price database are used as objective variables, and a plurality of past values of external factor data stored in the external factor database are used as explanatory variables. The regression analysis is performed for each stock of the financial product, and the t value of the regression coefficient of the external factor data obtained as a result of the regression analysis and / or the determination coefficient R ² or the freedom coefficient corrected determination coefficient R _f ² To identify external factors that correlate with the price of financial products for each stock, and store the external factor identification information for the identified external factors in the correlation database in association with the stock identification information for each stock It is desirable to have a configuration including analysis processing means for executing the processing.

  In this way, when an analysis processing means for performing regression analysis is provided and a correlation external factor obtained as a result of the regression analysis is stored in the correlation database, an objective analysis result is obtained. Since correlated external factors can be registered, objective information is provided on the order screen for investors who want to buy and sell financial products, and more appropriate order conditions can be entered. It is possible to realize input assistance that becomes possible.

  The following three configurations can be adopted as specific processing contents for specifying correlated external factors to be stored in the correlation database, that is, specific configurations of the analysis processing means. .

First, as a first configuration, the analysis processing means uses a combination of external factor data using all or some types of external factor data among a plurality of types of external factor data stored in the external factor database. A plurality of regression equations are obtained, and a regression equation having the largest determination coefficient R ² or the degree of freedom corrected determination coefficient R _f ² is selected from among the plurality of regression expressions, and among the regression coefficients constituting the selected regression expression , Execute processing for storing external factor identification information for external factors corresponding to regression coefficients whose t value exceeds a predetermined threshold value or more than the threshold value in association with the brand identification information in the correlation database It can be set as the structure to do.

Next, as a second configuration, the analysis processing means uses a combination of external factor data using all or some types of external factor data among a plurality of types of external factor data stored in the external factor database. A plurality of different regression equations are obtained, and among these regression equations, all t values of the regression coefficients of the external factor data constituting the regression equation exceed a predetermined threshold value or are equal to or more than the threshold value. A regression equation is selected, and a regression equation having the largest determination coefficient R ² or a degree-of-freedom-corrected determination coefficient R _f ² is selected from the selected regression expressions, and the regression expression corresponding to the selected regression expression is selected. The external factor identification information regarding the external factor may be associated with the brand identification information and stored in the correlation database.

  Furthermore, as a third configuration, the analysis processing means obtains one regression equation using a plurality of types of external factor data stored in the external factor database, and sets the regression coefficient of the external factor data constituting the regression equation. Among them, a process of storing external factor identification information about an external factor corresponding to a regression coefficient whose t value exceeds a predetermined threshold value or greater than the threshold value in association with the brand identification information in the correlation database. It can be configured to execute.

  Further, in the case where the analysis processing means for performing the regression analysis described above is provided, the conditional order reception processing means displays the absolute value of the t value when displaying the external factor as the order condition item on the order screen. It is desirable that the process of displaying in order from an external factor corresponding to a large regression coefficient is executed.

  In this way, when it is configured to display in order from the external factor corresponding to the regression coefficient having a large absolute value of t value, the investor can grasp the magnitude of the correlation by looking at the display order. Therefore, it is possible to input ordering conditions that place importance on conditions related to external factors that have a greater correlation. In addition, since it is expected that positions of external factors to be adopted (external factors for inputting conditions) are not greatly dispersed on the order screen, input work becomes easy, and the usability of the system is improved for investors.

  Further, in the case where the external factor corresponding to the regression coefficient having a large absolute value of the t value is displayed in order, the input is set by the investor and transmitted from the investor terminal device via the network. The condition item setting reception processing means that executes the process of receiving the maximum display number of external factors as ordering condition items, and the maximum display number received by this condition item setting reception processing means are set to input the maximum display number A condition item setting database that is stored in association with the investor identification information about the investor, and the conditional order reception processing means displays the external factor as the order condition item on the order screen in the condition item setting database. It is good also as a structure which performs the process which displays the external factor of the number of items which does not exceed the memorize | stored maximum display number.

  In this way, when the maximum number of external factors displayed as order condition items is stored in the condition item setting database, the order screen display is simplified, and investors can enter order conditions when entering order conditions. Judgment and work become easier and convenience is improved.

In the case where the analysis processing means for performing the regression analysis described above is provided, the correlation database associates the determination coefficient R ² of the regression equation or the determination coefficient R _f ^{2 with the} corrected degree of freedom with the brand identification information. The conditional order reception processing means is configured to store in advance a determination coefficient R ² or a degree-of-freedom-corrected determination coefficient R _f ^{2 that} is stored in the correlation database in association with the brand identification information about the order brand. If it is less than or less than the specified boundary value, not only the external factors of the external factor identification information acquired from the correlation database are displayed as order condition items on the order screen, It is good also as a structure which performs the process which displays this as an order condition item on an order screen.

In case of the configuration for displaying external factors as order condition items to the order screen in consideration of the thus determined coefficients when the value of R ² or flexibility amended coefficient of determination R _f ² is small, When the regression equation is not well applied, that is, when the reliability of the correlation between each stock obtained as an analysis result and external factors is not high, all types of external factors are displayed as order condition items on the order screen. It is possible to perform the correction process. As a result, it is possible to prevent a situation in which an external factor that is not actually displayed as an order condition item on the order screen is generated, although it is actually an external factor having a high correlation with the order brand.

  Further, in the order system described above, the conditional order reception processing means may combine, as order data, conditions related to a plurality of types of external factors using AND or OR, or conditions related to a plurality of types or one type of external factors. In addition, it is configured to execute a process of receiving a composite ordering condition configured by combining the conditions related to the price of the order brand using AND or OR, and the order database is configured by combining using AND or OR. Order data including complex ordering conditions is stored in association with the investor identification information, and the order condition success / failure determination processing means stores the current values of a plurality of types of external factor data stored in the external factor database. Current value of multiple types or one type of external factor data used or stored in the external factor database And a process for repeatedly executing a process for determining whether or not a composite order condition included in the order data stored in the order database is satisfied by using the current value of the price data of the order brand stored in the price database Is desirable.

  In this way, when it is configured to accept complex ordering conditions that are combined by using AND or OR, input setting of ordering conditions reflecting various investor philosophies and complex investment philosophies This can be realized and the convenience for investors is further improved.

  Further, in the order system described above, the brand identification information about the brand to be set transmitted from the investor terminal device via the network is received, and the external factor identification information corresponding to the received brand identification information is received from the correlation database. Acquire the external factor of the acquired external factor identification information as a candidate for the order condition item for display on the order screen, and send the display data of the condition item setting screen to the investor terminal device via the network, The external factor identification information about the added or deleted external factor that is input and set by the investor on the condition item setting screen and sent from the investor terminal device via the network is received, and the received additional or deleted information is received. Investor identification information for investors who have set condition items And condition item setting reception processing means for executing processing for storing in the correlation database in association with the brand identification information for the setting target brand, and the conditional order reception processing means is externally added or deleted by the investor. If the external factor identification information for the factor is stored in the correlation database in association with the investor identification information for the investor who entered the order and the issue identification information for the order issue, It is desirable to perform a process of transmitting order screen display data having an external factor in the added or deleted state as an ordering condition item to the investor terminal device via the network.

  In this way, the condition item setting reception processing means is provided, and the external factor displayed as the order condition item on the order screen can be added or deleted in advance and registered in the correlation database by the investor. In this case, when placing an order, the investor can input the conditions related to his / her intended external factors to configure the order conditions, and enter the order conditions in line with the investor's intention. In addition, external factors displayed on the order screen can be added or deleted in advance, so if you repeat an order for the same brand, make corrections on the order screen each time. This eliminates the need to do the work and reduces the labor for investors.

  In the case where the analysis processing means for performing the regression analysis described above is provided, the apparatus includes a regression equation database that stores all the regression coefficients constituting the regression equation in association with the brand identification information. The means obtains a regression coefficient corresponding to the brand identification information for the order brand from the regression equation database, and uses the obtained regression coefficient and the external factor data stored in the external factor database to determine the order brand as an objective variable. Calculates the rate or amount of change in external factor data as an explanatory variable when the price data changes by a certain rate or amount, or the rate or amount specified by the investor. Alternatively, it is desirable to perform a process of displaying the amount on the order screen or its associated screen.

  In this way, when the variable of the external factor data as the explanatory variable corresponding to the fluctuation of the price data of the order issue as the objective variable is calculated and displayed, the investor must Therefore, the convenience for investors is further improved, and more appropriate ordering conditions can be input and set.

  <For orders after notification>

  Further, the present invention is an order system configured by a computer that executes a process of accepting a purchase / sale order of a financial product, and external factor identification information about an external factor correlated with each symbol of the financial product A correlation database to be stored in association with the brand identification information and the brand identification information about the reporting brand transmitted from the investor terminal device via the network, and the external corresponding to the received brand identification information The factor identification information is acquired from the correlation database, the notification condition input screen display data having the external factor of the acquired external factor identification information as the notification condition item is transmitted to the investor terminal device via the network, and the investor Notification conditions including conditions related to external factors transmitted from the terminal device via the network, and information Notification condition reception processing means for executing processing for receiving notification condition data including brand identification information for the target brand, and notification condition data received by the notification condition reception processing means for the investor who has input the notification conditions The condition relating to the external factor included in the notification condition data stored in the notification condition database using the notification condition database stored in association with the investor identification information and the current value of the external factor data stored in the external factor database When the notification condition success / failure determination processing means for repeatedly executing the process for determining whether or not the notification condition including the notification condition is satisfied, and the notification condition success / failure determination processing means, the notification condition is satisfied. Send the display data for the order screen with the target brand to be notified to the investor terminal device via the network, Notification target brand order reception processing means for executing processing for receiving order data including brand identification information about the order brand transmitted from the funder terminal device via the network, and reception by the notification target brand order reception processing means The order database created by using the order data stored in the order database stored in association with the investor identification information of the investor who entered the order and the order data stored in the order database. It is characterized by comprising order processing means for executing processing for transmission to a market system via a communication line.

  Here, the “external factors correlated with each stock of financial instruments” stored in the “correlation database” may be external factors identified through statistical analysis using past data, or investment It may be an external factor that the house registered in advance at its own discretion.

  In such an order system of the present invention, the notification condition reception processing means displays the external factor of the external factor identification information acquired from the correlation database on the notification condition input screen as a notification condition item, and as notification condition data, Along with the brand identification information about the brand to be notified, a notification condition including a condition relating to an external factor is received, and the notification condition success / failure determination processing means monitors whether the received notification condition is satisfied, and the notification condition Is established, the notification target brand order reception processing means accepts an order for the notification target brand for which the notification condition is satisfied, and the order processing means performs the ordering process for the financial product transaction market system.

  For this reason, if the investor inputs a notification condition including a condition related to an external factor on the notification condition input screen, the monitoring process by the notification condition success / failure determination processing unit is performed, and the notification condition is satisfied. It is possible to place an order for the target stock at the appropriate time and place it on the trading market, reducing the investor's monitoring burden when realizing a financial product trading order that takes into account external factors. The

  In addition, since the notification condition success / failure determination including the condition relating to the external factor is performed by the notification condition success / failure determination processing means, that is, by the system, it is possible to suppress the loss of investment opportunities.

  Furthermore, since the external factor of the external factor identification information acquired from the correlation database is displayed as the notification condition item on the notification condition input screen, the investor can select the external factor displayed as the notification condition item on the notification condition input screen. Select necessary external factors from the external factors used or displayed, and the conditions related to the external factors (for example, the value of external factor data is more or less, somewhat less, somewhat higher or lower than the previous day) When entering the notification conditions, consider external factors that have a correlation with the notification target brand, trace the memory of information related to the brand, reconfirm the knowledge, etc. The convenience of investors can be improved.

  And since the external factor of the external factor identification information acquired from the correlation database is displayed as the notification condition item on the notification condition input screen, even a general investor with relatively little knowledge correlates with the notification target issue. It is possible to grasp external factors that are characteristic and to input conditions relating to the external factors, which also improves the convenience of investors and achieves the object.

In the order system described above, a plurality of past values of price data of financial products stored in the price database are used as objective variables, and a plurality of past values of external factor data stored in the external factor database are used as explanatory variables. The regression analysis is performed for each stock of the financial product, and the t value of the regression coefficient of the external factor data obtained as a result of the regression analysis and / or the determination coefficient R ² or the freedom coefficient corrected determination coefficient R _f ² To identify external factors that correlate with the price of financial products for each stock, and store the external factor identification information for the identified external factors in the correlation database in association with the stock identification information for each stock It is desirable to have a configuration including analysis processing means for executing the processing.

  In this way, when an analysis processing means for performing regression analysis is provided and a correlation external factor obtained as a result of the regression analysis is stored in the correlation database, an objective analysis result is obtained. Since correlated external factors can be registered, objective information is provided on the notification condition input screen to investors who want to place orders for buying and selling financial products. It is possible to realize input assistance that enables input.

  And as for the specific processing contents for specifying the external factors having correlation to be stored in the correlation database, that is, the specific configuration of the analysis processing means, as in the case of <conditional order> described above, Although three configurations can be employed, description thereof is omitted here. In other words, the specific configuration of the analysis processing unit can be the same as the above-described <in the case of conditional order>.

  Further, in the case where the analysis processing means for performing the regression analysis described above is provided, the notification condition reception processing means displays the absolute value of the t value when displaying the external factor as the notification condition item on the notification condition input screen. It is desirable that the process of displaying in order from an external factor corresponding to a large regression coefficient is executed.

  In this way, when it is configured to display in order from the external factor corresponding to the regression coefficient having a large absolute value of t value, the investor can grasp the magnitude of the correlation by looking at the display order. Therefore, it is possible to input notification conditions that place importance on the conditions related to external factors with a higher correlation, and input the notification conditions on the basis of conditions related to external factors with a higher correlation. In addition, it is expected that the positions of external factors to be adopted (external factors for inputting conditions) will not be greatly dispersed on the notification condition input screen, which makes it easier to input and improves the usability of the system for investors. .

  Further, in the case where the external factor corresponding to the regression coefficient having a large absolute value of the t value is displayed in order, the input is set by the investor and transmitted from the investor terminal device via the network. The condition item setting reception processing means for executing the process of receiving the maximum display number of external factors as the notification condition item, and the maximum display number received by the condition item setting reception processing means are set to input the maximum display number. A condition item setting database stored in association with the investor identification information about the investor, and the notification condition reception processing means is configured to display the external factor as the notification condition item on the notification condition input screen. It is good also as a structure which performs the process which displays the external factor of the number of items which does not exceed the maximum display number memorize | stored in.

  In this way, when the maximum display number of external factors as notification condition items is stored in the condition item setting database, the notification condition input screen is simplified and the notification condition input by the investor can be entered. Judgment and work at the time are facilitated, and convenience is improved.

In the case where the analysis processing means for performing the regression analysis described above is provided, the correlation database associates the determination coefficient R ² of the regression equation or the determination coefficient R _f ^{2 with the} corrected degree of freedom with the brand identification information. The notification condition reception processing unit is configured to store the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ^{2 that} is stored in the correlation database in association with the brand identification information about the notification target brand. If it is less than or less than the specified boundary value, not only the external factors of the external factor identification information acquired from the correlation database are displayed as notification condition items on the notification condition input screen, but all predetermined types It is good also as a structure which performs the process which displays an external factor as a notification condition item on a notification condition input screen.

In this way, in consideration of the case where the value of the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² is small, the external factor is displayed as the notification condition item on the notification condition input screen. When the regression equation is not well applied, that is, when the reliability of the correlation between each stock obtained as an analysis result and external factors is not high, all types of external factors are reported on the notification condition input screen. It is possible to perform a correction process of displaying as an item. Thereby, it is possible to prevent a situation in which an external factor that is not actually displayed as a notification condition item on the notification condition input screen occurs, although it is actually an external factor having a high correlation with the notification target brand.

  Further, in the order system described above, the notification condition reception processing means combines, as notification condition data, conditions related to a plurality of types of external factors using AND or OR, or conditions related to a plurality of types or one type of external factors. And a condition for receiving a composite notification condition configured by combining the conditions related to the price of the notification target brand using AND or OR, and the notification condition database is combined using AND or OR. The notification condition data including the combined notification condition configured is configured to be stored in association with the investor identification information, and the notification condition success / failure determination processing means includes a plurality of types of external factor data stored in the external factor database. Use the current value or store multiple types or one type of external factor data stored in the external factor database The current value of the data and the current value of the price data of the notification target brand stored in the price database are used to determine whether or not a composite notification condition included in the notification condition data stored in the notification condition database is satisfied. It is desirable to have a configuration that repeatedly executes the process.

  In this way, when it is configured to accept complex ordering conditions configured by combining using AND or OR, the notification condition input setting that reflects the investor's various investment philosophy and complex investment philosophy is made. This can be realized and the convenience for investors is further improved.

  Further, in the order system described above, the brand identification information about the brand to be set transmitted from the investor terminal device via the network is received, and the external factor identification information corresponding to the received brand identification information is received from the correlation database. Acquires and displays the condition item setting screen display data for displaying the external factor of the acquired external factor identification information as a notification condition item candidate for display on the notification condition input screen to the investor terminal device via the network. In the condition item setting screen, the external factor identification information about the external factor in the added or deleted state that is input and set by the investor and transmitted from the investor terminal device via the network is received, and the received addition or Investor of the investor who set the condition item for the external factor identification information about the deleted external factor It includes condition item setting reception processing means for executing processing to be stored in the correlation database in association with other information and brand identification information about the setting target brand, and the notification condition reception processing means is in a state of being added or deleted by an investor. When the external factor identification information about the external factor is stored in the correlation database in association with the investor identification information about the investor who has input the notification condition and the issue identification information about the issue issue target, It is desirable to perform a process of transmitting display data of a notification condition input screen having an external factor added or deleted by an investor as a notification condition item to an investor terminal device via a network.

  As described above, the condition item setting reception processing means is provided, and the external factor displayed as the notification condition item on the notification condition input screen can be added or deleted in advance by the investor and registered in the correlation database. In this case, the investor can enter the conditions related to the external factors that he / she intends to configure when he / she sells / issues the issue subject to notification, and can configure the notification conditions. It is possible to input notification conditions along the line, and external factors displayed on the notification condition input screen can be added or deleted in advance. Each time, it is not necessary to make corrections on the notification condition input screen, and the labor of the investor is reduced.

  In the case where the analysis processing means for performing the regression analysis described above is provided, the information processing apparatus includes a regression expression database that stores all the regression coefficients constituting the regression expression in association with the brand identification information. Obtains the regression coefficient corresponding to the brand identification information for the target brand from the regression equation database, and uses the acquired regression coefficient and the external factor data stored in the external factor database to report the target brand as the target variable. Calculate the rate or amount of change in external factor data as an explanatory variable when the price data of the product changes by a certain rate or amount, or the rate or amount specified by the investor. Be configured to execute processing to display the rate or amount on the notification condition input screen or its accompanying screen Desirable.

  In this way, when calculating and displaying changes in external factor data as explanatory variables that correspond to changes in price data of the issue subject to notification as objective variables, investors are concerned with external factors. Since reference information for inputting conditions can be obtained, convenience for investors is further improved, and more appropriate notification conditions can be set.

  <Matters common to conditional orders and orders after notification>

  Further, when the analysis processing means for performing the regression analysis described above is provided, the analysis processing means periodically performs the regression analysis and executes processing for updating the external factor identification information stored in the correlation database. It is desirable that the configuration is such that

  In this way, when the regression analysis is configured to be performed periodically, the correlation between each issue and external factors is due to various factors such as changes in market interests or changes in the company's handling field. Since it changes with the passage of time, it is possible to identify correlated external factors reflecting the latest situation by performing regression analysis using the latest data.

  <Invention of method>

  As an order processing method realized by the order system of the present invention described above, the following order processing method of the present invention can be cited.

  That is, the present invention is an order processing method executed by an order system configured by a computer that executes processing for accepting a purchase order for a financial product, and an external factor relating to an external factor correlated with each brand of the financial product. The factor identification information is stored in the correlation database in association with the brand identification information for each brand, and the brand for the ordered brand transmitted by the conditional order reception processing means via the network from the investor terminal device. Receives identification information, acquires external factor identification information corresponding to the received brand identification information from the correlation database, and displays order screen display data with the external factor of the acquired external factor identification information as an order condition item To the external terminal sent to the investor terminal device via the network from the investor terminal device The order data including the order conditions including the order information and the order data including the brand identification information about the order brand is executed, and the order data received by the conditional order acceptance processing means is input to the order. The order is stored in the order database by using the current value of the external factor data stored in the external factor database. When the ordering processing means repeatedly executes the process of determining whether or not the ordering condition including the condition relating to the external factor included in the data is satisfied and the ordering processing means determines that the ordering condition is satisfied by the ordering condition success / failure determination processing means The order data created using the order data stored in the order database is sent to the financial product transaction market system via a communication line. It is characterized in that it performs the processing of transmitting.

  The present invention also relates to an order processing method executed by an order system configured by a computer that executes processing for accepting a purchase order for a financial product, and an external factor that correlates with each brand of the financial product. The factor identification information is stored in the correlation database in association with the symbol identification information for each symbol, and the notification condition reception processing means transmits the symbol for the notification target symbol transmitted from the investor terminal device via the network. Receiving identification information, acquiring external factor identification information corresponding to the received brand identification information from the correlation database, and displaying display data for a notification condition input screen using the external factor of the acquired external factor identification information as a notification condition item External factors transmitted to the investor terminal device via the network and transmitted from the investor terminal device via the network The notification condition configured to include such conditions, and the process of receiving notification condition data including the brand identification information about the notification target brand, and the notification condition data received by the notification condition reception processing means The notification condition database is stored in the notification condition database in association with the investor identification information of the input investor, and the notification condition success / failure determination processing means uses the current value of the external factor data stored in the external factor database. Is repeatedly executed to determine whether or not a notification condition including a condition relating to an external factor included in the notification condition data stored in the notification condition data is stored, and the notification target brand order reception processing means performs the notification condition success / failure determination processing means. Order screen display data that uses the target brand for which the notification condition is met when it is determined that the notification condition is met , Execute processing for receiving order data including brand identification information on order brands transmitted from the investor terminal unit via the network to the investor terminal unit, and receive the target order for notification The order data received by the processing means is stored in the order database in association with the investor identification information for the investor who entered the order, and the order processing means is created using the order data stored in the order database. The present invention is characterized in that processing for transmitting order data to a transaction market system for financial products is performed via a communication line.

  In such an order processing method of the present invention, the operations and effects obtained by the order system of the present invention described above can be obtained as they are, thereby achieving the object.

  <Invention of program>

  Furthermore, the program of the present invention is for causing a computer to function as the ordering system described above.

  The above-mentioned program or a part thereof is, for example, a magneto-optical disk (MO), a read-only memory (CD-ROM) using a compact disk (CD), a CD recordable (CD-R), a CD rewritable (CD -RW), read-only memory (DVD-ROM) using digital versatile disk (DVD), random access memory (DVD-RAM) using DVD, flexible disk (FD), magnetic tape, hard disk, It can be recorded on storage media such as read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM), flash memory, and random access memory (RAM) for storage and distribution. And, for example, a local area network (LA ), A metropolitan area network (MAN), a wide area network (WAN), a wired network such as the Internet, an intranet, or an extranet, or a wireless communication network, or a combination thereof. It is also possible to carry it on a carrier wave. Furthermore, the above program may be a part of another program, or may be recorded on a recording medium together with a separate program.

  As described above, according to the present invention, the external factor of the external factor identification information acquired from the correlation database is displayed as the order condition item or the notification condition item on the order screen or the notification condition input screen, and the order data or notification is displayed. As the condition data, it accepts the order identification conditions and notification conditions that include the conditions related to external factors, together with the brand identification information about the order brands and notification target brands, and whether or not the accepted ordering conditions and notification conditions are met. Monitoring by the system, if the ordering conditions are met, the order processing of the order to the trading market system is performed, and if the notification conditions are met, the order of the target brand is accepted and the ordering processing to the trading market system is performed. This has the effect of reducing the burden and improving the convenience of investors.

1 is an overall configuration diagram of an ordering system according to an embodiment of the present invention. The block diagram of the stock price database (price database) of the said embodiment. The block diagram of the external factor database of the said embodiment. The block diagram of the regression type database of the said embodiment. The block diagram of the correlation database of the said embodiment. The block diagram of the condition item setting database of the said embodiment. The block diagram of the order database of the said embodiment. The figure of the flowchart which shows the flow of a process in the case of performing the conditional order of the said embodiment. The figure of the flowchart which shows the flow of a process in the case of performing the order after the alerting | reporting of the said embodiment. The figure which shows an example of the order method selection screen of the said embodiment. The figure which shows an example of the condition item setting screen of the said embodiment. The figure which shows an example of the order screen of the said embodiment. The figure which shows an example of the screen of the reference information accompanying the order screen of the said embodiment. The figure which shows an example of the alerting | reporting condition input screen of the said embodiment, and the structure of a alerting | reporting condition database.

  An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 shows an overall configuration of an order system 10 according to the present embodiment. 2 shows the configuration of the stock price database 30 as a price database, FIG. 3 shows the configuration of the external factor database 31, FIG. 4 shows the configuration of the regression equation database 32, and FIG. Shows the configuration of the correlation database 33, FIG. 6 shows the configuration of the condition item setting database 34, and FIG. 7 shows the configuration of the order database 35. FIG. 8 is a flowchart showing the flow of processing when placing a conditional order, and FIG. 9 is a flowchart showing the processing flow when placing an order after notification. Further, FIG. 10 shows an example of the order method selection screen 100, FIG. 11 shows an example of the condition item setting screen 200, FIG. 12 shows examples of the order screens 300 and 400, FIG. 13 shows an example of a reference information screen 500 attached to the order screen 400, and FIG. 14 shows an example of the notification condition input screen 600 and the configuration of the notification condition database 36.

  In FIG. 1, an order system 10 is a system of a financial institution such as a securities company that accepts an order for buying and selling a financial product (in this embodiment, a stock is used as an example) by an investor and places an order on a trading market. It consists of one or more computers. An investor terminal device 40 operated by an investor is connected to the order system 10 via the network 1. The order system 10 is connected to a stock exchange system 50, which is a trading market system for financial products, via a communication line 2, and is connected to an information providing system 60 via a communication line 3.

  Here, the network 1 includes various forms such as the Internet, an intranet, an extranet, a LAN, a MAN, a WAN, or a combination thereof, and is wired or wireless, and further, wired and wireless. Regardless of whether it is a mixed type, in short, it is only necessary to be able to transmit information at a certain speed between a plurality of points (regardless of the length of distance).

  The communication line 2 connecting the order system 10 and the stock exchange system 50 is usually a dedicated line, but may be the network 1. Further, the communication line 3 connecting the order system 10 and the information providing system 60 may be the network 1 or a dedicated line.

  The order system 10 includes price data / external factor data acquisition processing means, stock price data / external factor data acquisition processing means 21, analysis processing means 22, condition item setting reception processing means 23, and conditional order reception processing means 24. Order condition success / failure determination processing means 25, notification condition acceptance processing means 26, notification condition success / failure determination processing means 27, notification target brand order reception processing means 28, order processing means 29, and stock price database which is a price database. 30, an external factor database 31, a regression equation database 32, a correlation database 33, a condition item setting database 34, an order database 35, and a notification condition database 36.

  The stock price data / external factor data acquisition processing means 21 periodically receives price data of financial products (in this embodiment, stock price data as an example) and external factor data from the information providing system 60 via the communication line 3. Is acquired and stored in the stock price database 30 (see FIG. 2) and the external factor database 31 (see FIG. 3). At this time, the stock price data / external factor data acquisition processing means 21 acquires the stock price data together with the stock identification information (stock code) of the stock and the date and time of occurrence of the stock price, and stores them in the stock price database 30 in association with them. The factor data is acquired together with the external factor identification information and the date and time of occurrence of the external factor value, and is stored in the external factor database 31 in association with them. In this embodiment, since the financial product to be traded is a stock, the stock price data / external factor data acquisition processing means 21 is used. However, more generally, price data of the financial product is acquired. Price data / external factor data acquisition processing means.

  As the types of external factors for acquiring data from the information providing system 60 by the stock price data / external factor data acquisition processing means 21, in this embodiment, as shown in FIG. 3, exchange rate (external factor identification information = G1), NY Dow (external factor identification information = G2), WTI crude oil futures (external factor identification information = G3), Baltic shipping index (external factor identification information = G4), etc. are exemplified, but external factors are limited to these For example, if it is an economic indicator released by the Japanese government, unemployment rate, GDP, inflation rate (price increase rate), BOJ Tankan, trade balance, fiscal deficit (surplus) rate, current account deficit There are surpluses, economic trend indices, industrial production indices, etc., and stock-related indices such as the Nikkei Stock Average and the Tokyo Stock Price Index (TOPIX) may be used. It may be an overseas index, for example, an international commodity index such as a CRB index, or various technical items such as a moving average line, Bollinger band, Ichimoku balance table, RSI, MACD, stochastics, point & figure, etc. It may be an indicator. In short, in addition to fluctuations in the price (stock price) of financial products to be bought and sold (stocks in this embodiment), external factors include fluctuations in exchange rates, market fluctuations other than the order market (domestic and overseas), commodity fluctuations other than securities, It will be possible to determine the timing of ordering in consideration of factors such as fluctuations in the economic index and fluctuations in interest rates (multiple currency indices and multiple indicators specified).

The analysis processing means 22 uses past stock price data (for example, closing price data for the past 30 days) stored in the stock price database 30 (see FIG. 2) as a target variable (also referred to as a dependent variable). For each stock issue, using past external factor data (for example, data for the past 30 days) stored in the external factor database 31 (see FIG. 3) as explanatory variables (also referred to as independent variables). The regression analysis is performed, and the t value and / or determination coefficient R ² of the regression coefficient (also referred to as an estimation coefficient) of the external factor data obtained as a result of the regression analysis and / or the determination coefficient R _f ² corrected for the degree of freedom (free The external factor that correlates with the stock price of each stock is specified for each stock using the degree-adjusted coefficient of determination), and external factor identification information about the specified external factor And together with the coefficient of determination R ² or flexibility amended coefficient of determination R _f ^2, it executes a process of storing in the stock identification information correlated database 33 in association with (brand code) (see FIG. 5) for each stock is there.

  At this time, in the analysis processing by the analysis processing means 22, the period of the stock price data used as the objective variable and the period of the external factor data used as the explanatory variable do not need to match (not necessarily the same day), For example, the adoption date of the external factor data that is the explanatory variable may be shifted one day before the adoption date of the stock price data that is the objective variable to be used as a leading indicator.

  In the present embodiment, multiple regression analysis using a plurality of types of external factor data, that is, two or more explanatory variables is performed. In this embodiment, linear regression using a linear equation model that is normally used is adopted, but nonlinear regression using other models may be employed. Furthermore, in this embodiment, the estimation method employs the least square method, but is not limited to this.

  More specifically, the analysis processing by the analysis processing means 22 can employ any of the following three types of processing.

  (First analysis processing by the analysis processing means 22)

In the first analysis processing by the analysis processing means 22, external factors are used by using all or some types of external factor data among a plurality of types of external factor data stored in the external factor database 31 (see FIG. 3). A plurality of regression equations having different combinations of data are obtained, and a regression equation having the maximum determination coefficient R ² or a degree of freedom corrected determination coefficient R _f ² is selected from the plurality of regression expressions, and the selected regression expression is configured. of the regression coefficients, the external factors identification information about the external factors corresponding to the regression coefficient t value has become greater than or a predetermined threshold, or threshold or more, the coefficient of determination R ² or flexibility amended decision The coefficient R _f ² is stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code).

For example, if there are 20 types of external factor data, first, a combination of two types of external factor data is selected from the 20 types of external factor data, and the selected two types of external factor data are used as explanatory variables to be processed. The regression equation is obtained with the stock price data of the stock as the objective variable. Therefore, since ₂₀ C ₂ combinations are possible, ₂₀ C ₂ regression equations are obtained for each brand.

More specifically, for example, the stock price data YA of the stock _A is an objective variable, the exchange data X1 and the NY Dow data X2 which are two types of external factor data are explanatory variables, and a regression of Y _A = a0 + a1 · X1 + a2 · X2 Find the formula. Here, a0 is the regression coefficient (intercept), a1 is the regression coefficient of the exchange data (the weight applied to X1) as the explanatory variable X1, and a2 is the regression coefficient of the NY Dow data (the explanatory variable X2). X2). Then, if regression analysis is performed using data for the past 30 days, stock price data Y _A (1) to Y _A (30) of stock _A , exchange data X1 (1) to X1 (30), and NY The Dow data X2 (1) to X2 (30) are input data, while the regression coefficients a0, a1, and a2 are output data. Also, t values of the regression coefficients a0, t values of the regression coefficients a1, t values of the regression coefficients a2, and the coefficient of determination R ² or flexibility amended coefficient of determination R _f ² is also obtained as the output data.

In this embodiment, since the regression analysis uses the least square method as an estimation method in this embodiment, the actual values Y _A (1) to Y _A (30) of the stock price data of the stock _A that is the objective variable YA This is a process for minimizing the mean square of the difference between the stock price data estimated values Y _A '(1) to Y _A ' (30) of the stock A, which is the objective variable Y _A. Here, the latter estimated value _{Y A '(1) ~Y A} ' (30) is an explanatory variable X1 in which exchange data actual values X1 (1) ~X1 (30) and the NY Daudeta an explanatory variable X2 It is obtained using the actual values X2 (1) to X2 (30) and the regression equation Y _A = a0 + a1 · X1 + a2 · X2, that is, obtained by the following equation.

Y _A '(i) = a0 + a1 · X1 (i) + a2 · X2 (i) (where i = 1 to 30)

  The t value is a value obtained by dividing the regression coefficient (estimation coefficient) by the standard error of the regression coefficient (estimation coefficient) (a value indicating the uncertainty of the regression coefficient). If the absolute value of the regression coefficient is large, the t value The absolute value increases, and if the standard error of the regression coefficient is small, the absolute value of the t value increases. This t value is a value indicating the degree to which the variable corresponding to the regression coefficient (the variable multiplied by the regression coefficient) is appropriate as the explanatory variable (that is, the correlation between the objective variable and the explanatory variable), In general, when the absolute value of the t value is larger than 2, the variable is appropriate as an explanatory variable. As the absolute value of the t value decreases, it cannot be said that the variable is appropriate as an explanatory variable. The regression equation needs to be reviewed.

The determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² is a value indicating the degree of fit of the regression equation. Usually, if this value is greater than, for example, 0.7 to 0.8, the degree of fit is good. It can be said. The degree-of-freedom-corrected determination coefficient R _f ² is a value subjected to correction (correction) to avoid inconvenience when the number of data is small. In this embodiment, the degree-of-freedom-modified determination coefficient R _{f 2} ² shall be used.

Similarly, for the stock B, the regression equation Y _B = b0 + b1 · X1 + b2 · X2 is obtained with the stock price data Y _B of the stock _B as the objective variable, and the regression coefficients b0, b1, b2 and their t values are obtained as output data. In addition, the determination coefficient R ² or the degree of freedom corrected determination coefficient R _f ² is obtained. Also, for the stock C, the regression equation Y _C = c0 + c1 · X1 + c2 · X2 is obtained using the stock price data YC of the stock _C as an objective variable, and regression coefficients c0, c1, c2 and their t values are determined as output data and determined. The coefficient R ² or the degree-of-freedom corrected determination coefficient R _f ² is obtained. The same applies to the other brands D, E,.

Also, by changing the combination of the two types of external factor data, for example, stock price data YA of stock _A is the objective variable, exchange data X1 and WTI crude futures data X3 are explanatory variables, and Y _A = a0 + a1 · X1 + a3 · X3 a regression equation that is obtained as output data, regression coefficients a0, a1, a3 and their t values, and the coefficient of determination ^{R 2} or flexibility amended coefficient of determination _R ^{f 2.} However, a0 and a1 obtained here are different from a0 and a1 indicated by the same symbol when the exchange data X1 and the NY Dow data X2 described above are used as explanatory variables.

Similarly, for the stock B, the regression equation Y _B = b0 + b1 · X1 + b3 · X3 is obtained using the stock price data Y _B of the stock _B as an objective variable, and the regression coefficients b0, b1, b3 and their t values are output data. In addition, the determination coefficient R ² or the degree of freedom corrected determination coefficient R _f ² is obtained. Also, for the stock C, the regression equation Y _C = c0 + c1 · X1 + c3 · X3 is obtained using the stock price data Y _C of the stock _C as an objective variable, and the regression coefficients c0, c1, c3 and their t values are determined as output data. The coefficient R ² or the degree-of-freedom corrected determination coefficient R _f ² is obtained. The same applies to the other brands D, E,.

  Then, by changing the combination of the two types of external factor data, the combination of explanatory variables X1, X4, the combination of explanatory variables X1, X5, ..., the combination of explanatory variables X1, X20, the combination of explanatory variables X2, X3, the explanatory variable Similar processing is performed for combinations of X2 and X4,... And combinations of explanatory variables X2 and X20.

Next, a combination of three types of external factor data is selected from the 20 types of external factor data, and the regression equation is obtained using the selected three types of external factor data as explanatory variables and the stock price data of the processing target stock as an objective variable. . Accordingly, since ₂₀ C ₃ combinations are possible, ₂₀ C ₃ regression equations are obtained for each brand.

More specifically, for example, stock price data YA of stock _A is an objective variable, and exchange data X1, NY Dow data X2, and WTI crude futures data X3, which are three types of external factor data, are explanatory variables, and Y _A = a0 + a1 · X1 a regression equation that + a2 · X2 + a3 · X3 , obtained as output data, regression coefficients a0, a1, a2, a3 and their t values, and the coefficient of determination ^{R 2} or flexibility amended coefficient of determination _R ^{f 2.} However, a0, a1, a2, and a3 obtained here are different from a0, a1, a2, and a3 indicated by the same symbol when two explanatory variables are used. The same processing is performed for the other brands B, C, D, E,.

  The same processing is performed for combinations of explanatory variables X1, X2, and X4, combinations of explanatory variables X1, X2, and X5 by changing the combination of the three types of external factor data.

Further, a combination of four types of external factor data is selected from the 20 types of external factor data, and a regression equation is obtained using the selected four types of external factor data as explanatory variables and the stock price data of the brand to be processed as an objective variable. Therefore, since ₂₀ C ₄ combinations are possible, ₂₀ C ₄ regression equations are obtained for each brand.

More specifically, for example, exchange data X1, NY Dow data X2, WTI crude futures data X3, and Baltic shipping index X4, which are four types of external factor data, are described with stock price data YA of stock _A as an objective variable. Y _A = a0 + a1 · X1 + a2 · X2 + a3 · X3 + a4 · X4 as regression variables, and as output data, regression coefficients a0, a1, a2, a3, a4 and their t values, as well as a determination coefficient R ² or degrees of freedom A corrected determination coefficient R _f ² is obtained. However, a0, a1, a2, and a3 obtained here are different from a0, a1, a2, and a3 indicated by the same symbols when the above-described explanatory variables are two or three. . The same processing is performed for the other brands B, C, D, E,.

  The same processing is performed for combinations of explanatory variables X1, X2, X3, and X5, combinations of explanatory variables X1, X2, X3, and X6 by changing the combination of the four types of external factor data.

Similarly, to select a combination of 5 types of external factor data, determine the ₂₀ C for _five different regression equation for each stock, select the combination of six types of external factor data, the ₂₀ C for _six regression equation It calculates | requires for every brand, Finally, the combination of 20 types of external factor data is selected, and ₂₀ C ₂₀ types of regression equations are obtained for each brand. In this way, the analysis processing means 22 obtains a plurality of regression equations for each brand while changing the number of external factor data to be used and changing the combination of external factor data to be used. That is, for each _stock, obtaining the _{20 C 2 + 20 C 3 +} 20 C 4 + 20 C 5 + 20 C 6 + ... + 20 C 20 Street regression equation. More generally, if n types of external factor data are stored in the external factor database 31 (see FIG. 3), Σ _n C _k (where k = 2 to n) regression equations are obtained.

Then, the analysis processing unit 22, for each _{brand, 20 C 2 + 20 C 3} + 20 C 4 + 20 C 5 + 20 C 6 + ... + 20 C among the regression equation of ₂₀ kinds, the coefficient of determination ^{R 2} Alternatively, the regression equation having the maximum degree of freedom corrected determination coefficient R _f ² (in this embodiment, the degree of freedom corrected determination coefficient R _f ² ) is selected, and the regression coefficient constituting the selected regression expression and its t The value, the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ) is associated with the brand identification information (brand code) and the regression equation It memorize | stores in the database 32 (refer FIG. 4).

Then, the analysis processing means 22 has a t value that exceeds a predetermined threshold value (for example, 2) among the regression coefficients constituting the regression equation stored in the regression equation database 32 (see FIG. 4), or more than the threshold value. The external factor identification information for the external factor corresponding to the regression coefficient is determined as the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ). In addition, the correlation database 33 (see FIG. 5) stores the information in association with the brand identification information (brand code). At this time, in the column of investor identification information in the correlation database 33, information “T0” indicating that the data is commonly applied to all investors is stored.

In the above description, Σ _n C _k (where k = 2 to n) regression equations are obtained. However, regression equations using all types of prepared external factor data as explanatory variables are obtained. There may be a configuration that does not require a regression equation that uses no external configuration data or various types of external factor data as explanatory variables. For example, the maximum _{number of} explanatory variables is 5, and Σ _n C _k (where k = 2 to 5) The regression equation may be obtained.

  (Second analysis processing by the analysis processing means 22)

In the second analysis processing by the analysis processing means 22, external factors are used by using all or some types of external factor data among a plurality of types of external factor data stored in the external factor database 31 (see FIG. 3). A plurality of regression equations having different data combinations are obtained, and among these regression equations, all t values of the regression coefficients of the external factor data constituting the regression equation exceed a predetermined threshold value or more than the threshold value. Further, the regression equation having the largest determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² is selected from the selected regression expressions, and the regression constituting the selected regression expression the external factors identification information about the external factors corresponding to the coefficient, with the coefficient of determination R ² or flexibility amended coefficient of determination R _f ^2, correlation data in association with stock identification information (ticker) Is stored in the base 33 (see FIG. 5).

More specifically, the analysis processing means 22 changes the number of external factor data to be used and the combination of external factor data to be used in the same manner as in the case of the first analysis process described above. A plurality of regression equations are obtained for each brand. That is, if 20 types of external factor data are stored in the external factor database 31 (see FIG. 3), ₂₀ C ₂ + ₂₀ C ₃ + ₂₀ C ₄ + ₂₀ C ₅ + ₂₀ C for each brand. ₆ + ... + ₂₀ C ₂₀ regression equations are obtained. More generally, if n types of external factor data are stored in the external factor database 31 (see FIG. 3), Σ _n C _k (where k = 2 to n) regression equations are obtained.

Then, the analysis processing unit 22, for each _{brand, 20 C 2 + 20 C 3} + 20 C 4 + 20 C 5 + 20 C 6 + ... + 20 C of ₂₀ types of regression equation, constitutes a regression formula A regression equation in which all t values of the regression coefficients of the external factor data exceed a predetermined threshold value (for example, 2) or equal to or more than the threshold value is selected, and among the selected regression equations, a determination coefficient R is selected. ² or the degree of freedom modified determination coefficient R _f ² (in this embodiment, the degree of freedom modified determination coefficient R _f ² ) is selected, and the regression coefficient constituting the selected regression expression is selected. The t value and the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ) are associated with the brand identification information (brand code). Regression database 32 (see Figure 4) Memorize)

Then, the analysis processing unit 22, a regression equation database 32 to external factors identification information about the external factors corresponding to the regression coefficients constituting the regression equation is stored (see FIG. 4), the coefficient of determination R ² or flexibility amended Along with the determination coefficient R _f ² (in this embodiment, the determination coefficient R _f ² having a degree of freedom corrected) is stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code). At this time, in the column of investor identification information in the correlation database 33, information “T0” indicating that the data is commonly applied to all investors is stored.

In the above description, Σ _n C _k (however, the sum from k = 2 to k = n) is obtained, but as in the case of the first analysis process described above, A configuration in which regression equations using all types of prepared external factor data as explanatory variables is not obtained, or a regression equation in which various types of external factor data are used as explanatory variables may not be obtained. One up and then, sigma _{n C} k _(provided that the sum from k = 2 to k = 5) may be configured to obtain the regression equation of the street.

  (Third analysis processing by the analysis processing means 22)

In the third analysis processing by the analysis processing means 22, one regression equation is obtained using a plurality of types of external factor data stored in the external factor database 31 (see FIG. 3), and the external factors constituting this regression equation are obtained. Among the regression coefficients of the data, the external factor identification information for the external factor corresponding to the regression coefficient whose t value exceeds a predetermined threshold value or is greater than or equal to the threshold value is determined by the determination coefficient R ² or the degree of freedom has been corrected. Together with the determination coefficient R _f ² , it is stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code).

More specifically, the analysis processing means 22 obtains one regression equation using, for example, all types of external factor data stored in the external factor database 31 (see FIG. 3) as explanatory variables, and the obtained regression equation is obtained. The constituent regression coefficient and its t value, and the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ) are used as brand identification information (brand name). In the regression equation database 32 (see FIG. 4).

Then, the analysis processing means 22 has a t value that exceeds a predetermined threshold value (for example, 2) among the regression coefficients constituting the regression equation stored in the regression equation database 32 (see FIG. 4), or more than the threshold value. The external factor identification information for the external factor corresponding to the regression coefficient is determined as the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ). In addition, the correlation database 33 (see FIG. 5) stores the information in association with the brand identification information (brand code). At this time, in the column of investor identification information in the correlation database 33, information “T0” indicating that the data is commonly applied to all investors is stored.

  The condition item setting reception processing means 23 transmits from the investor terminal device 40 via the network 1 by pressing the “display condition item setting screen” button 103 by the investor on the order method selection screen 100 (see FIG. 10). The condition item setting screen display request signal is received, and display data for the condition item setting screen 200 (see FIG. 11) is transmitted to the investor terminal device 40 via the network 1. An order condition item for display on a condition item (order screen 400 (see FIG. 12) and a notification condition input screen 600 (FIG. 12) that are input and set by the investor and transmitted from the investor terminal device 40 via the network 1. 14) the maximum number of external factors displayed as notification condition items for display), brand identification information (brand code) for the brand to be set, and Added or deleted by the investors as condition items to be displayed (ordering condition items for display on the order screen 400 (see FIG. 12) and notification condition items for display on the notification condition input screen 600 (see FIG. 14)) Investor identification information for investors who have set the condition items, including the maximum number of display items received and the brand identification information (brand code) for the brand to be set. The condition item setting database 34 (see FIG. 6) is stored in association with the external factor identification information about the external factor added or deleted by the investor as the condition item to be displayed. Correlation database in association with investor identification information for investors and stock identification information (stock code) for the target stock 3 and executes the process of storing in (see FIG. 5).

  At this time, when the condition item setting reception processing means 23 receives the condition item setting screen display request signal transmitted from the investor terminal device 40 via the network 1, the condition item setting reception processing means 23 displays the condition item setting screen 200 (see FIG. 11). The display data (however, the display part of the condition item is not included) is transmitted to the investor terminal device 40 via the network 1.

  Further, the condition item setting reception processing means 23 performs the investor terminal operation by pressing the “condition item display” button 221 by the investor on the condition item setting screen 200 (see FIG. 11) where the condition items are not yet displayed. When the brand identification information (brand code) about the setting target brand of the condition item transmitted from the device 40 via the network 1 is received, the external factor identification information corresponding to the received brand identification information is stored in the correlation database 33 ( The external factor of the acquired external factor identification information is displayed from the order condition item candidates for display on the order screen 400 (see FIG. 12) and the notification condition input screen 600 (see FIG. 14). Display data of the condition item setting screen 200 (see FIG. 11) including a portion to be displayed as a candidate for the notification condition item for use via the network 1 And transmits it to the home terminal device 40.

  The conditional order reception processing means 24 is transmitted from the investor terminal device 40 via the network 1 by the depressing operation of the “display order screen” button 101 by the investor on the order method selection screen 100 (see FIG. 10). The incoming order screen display request signal is received, and display data for the order screen 300 (see FIG. 12) is transmitted to the investor terminal device 40 via the network 1 and transmitted from the investor terminal device 40 via the network 1. The received brand identification information (brand code), the order quantity (in the present embodiment, the number of stocks ordered), and the trading category are received as part of the order data, and the received brand identification information (brand code). The external factor identification information corresponding to is acquired from the correlation database 33 (see FIG. 5), and the external factor of the acquired external factor identification information is used as the order condition item. The display data of the sentence screen 400 (see FIG. 12) is transmitted to the investor terminal device 40 via the network 1, and the market price / limit price and the limit price transmitted from the investor terminal device 40 via the network 1. As well as receiving ordering conditions that include conditions related to external factors as part of the rest of the order data, order identification information (order number) is automatically assigned to the received order data and received. Order data including order identification information including order identification information (stock code), order quantity (number of stocks), trading category, market / limit price and limit, and conditions related to external factors. , The automatically assigned order identification information (order number), and the process of storing in the order database 35 (see FIG. 7) in association with the investor identification information of the investor who has placed the order It is intended to run.

  At this time, when the conditional order reception processing means 24 receives the brand identification information (brand code) for the ordered brand transmitted from the investor terminal device 40 via the network 1, the investor who has placed the order is notified. Whether or not the brand identification information for the ordered brand is stored in the condition item database 34 (see FIG. 6) as the brand identification information for the setting target brand by the investor who has placed the order. If it is not stored, “T0” indicating that it is common to all investors is stored in the column of investor identification information, and correlated with the brand identification information for the ordered brand. The external factor identification information stored in the sex database 33 (see FIG. 5) is acquired, and the order is obtained using the external factor of the acquired external factor identification information as an order condition item The display data of the surface 400 (see FIG. 12), via the network 1 to the investor terminal 40. On the other hand, when the brand identification information about the ordered brand is stored in the condition item database 34 (see FIG. 6) as brand identification information about the brand to be set by the investor who has placed the order, the investment that has placed the order. Using the investor identification information about the house and the brand identification information about the order brand as keys, the external database in the state of being added or deleted by the investor as a condition item to be displayed from the correlation database 33 (see FIG. 5). External factor identification information is acquired, and display data for an order screen 400 (see FIG. 12) using the external factor of the acquired external factor identification information as an order condition item is transmitted to the investor terminal device 40 via the network 1. .

  In addition, the conditional order reception processing means 24 transmits the display data of the order screen 400 (see FIG. 12) having the external factor as the ordering condition item to the investor terminal device 40 via the network 1. From the external factor corresponding to the regression coefficient having a large absolute value of t value, the display data of the order screen 400 displayed in order from the top is created and transmitted. In the correlation database 33 (see FIG. 5), the external factors about the external factors to be displayed are displayed in the order of the external factors corresponding to the regression coefficient having the large absolute value of the t value, that is, according to the display order on the order screen 400. Since the factor identification information is stored, it may be displayed in the order stored in the correlation database 33. In addition, when an investor adds or deletes a condition item to be displayed on the condition item setting screen 200 (see FIG. 11), the condition item setting reception processing unit 23 causes the investor on the condition item setting screen 200 to Since the external factor identification information about the external factor to be displayed is stored in the correlation database 33 (see FIG. 5) in the order of display set by the above, it is also stored in the correlation database 33 in this case. It is only necessary to display them in the order in which they are displayed.

  Further, the conditional order reception processing means 24 transmits the display data of the order screen 400 (see FIG. 12) having the external factor as the order condition item to the investor terminal device 40 via the network 1. The maximum number of display items is acquired from the condition item database 34 (see FIG. 6) using the investor identification information of the investor who has placed an order as a key, and the number of external factors not exceeding the acquired maximum display number is used as order condition items Display data for the order screen 400 is created and transmitted.

When the conditional order reception processing means 24 transmits the display data of the order screen 400 (see FIG. 12) having the external factor as the ordering condition item to the investor terminal device 40 via the network 1, The determination coefficient R ² or the degree-of-freedom corrected determination coefficient R _f ² (in this embodiment, the degree of freedom) stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code) for the order brand. If the corrected determination coefficient R _f ² ) is less than or less than a predetermined boundary value (for example, a value between 0.7 and 0.8), the external factor identification acquired from the correlation database 33 Instead of displaying only external factors of information on the order screen 400 as order condition items relating to external factors, all types of external factors (for example, the external factor database 31 (FIG. 3) The data for display of the order screen 400 having the order condition items as all types of external factors for which data is stored in the reference) is created and transmitted. Incidentally, if the addition or deletion of condition items to be displayed has been performed by the investors in the condition item setting screen 200 (see FIG. 11) is the coefficient of determination R ² or freedom to the correlation database 33 (see FIG. 5) Since the degree corrected determination coefficient R _f ² (in this embodiment, the degree of freedom corrected determination coefficient R _f ² ) is not stored, in this case, the external factor of the external factor identification information acquired from the correlation database 33 is stored. Only (that is, the external factor added or deleted by the investor) is displayed on the order screen 400 as the order condition item relating to the external factor.

  Further, the conditional order reception processing means 24 combines conditions related to a plurality of types of external factors as order data using AND or OR, or conditions related to a plurality of types or types of external factors and the price of the order brand. In the present embodiment, the order database 35 receives a composite ordering condition configured by combining conditions relating to (stock price) using AND or OR, and associates the ordering condition with the order identification information (order number) and investor identification information. (See FIG. 7).

  Further, the conditional order reception processing means 24 responds to the brand identification information about the order brand when the investor presses the “display reference information” button 420 on the order screen 400 (see FIG. 12). The regression coefficient to be obtained is acquired from the regression equation database 32 (see FIG. 4), and using the acquired regression coefficient and the external factor data stored in the external factor database 31 (see FIG. 3), Calculating the rate or amount of change in external factor data as explanatory variables when price data (in this embodiment, stock price data) changes by a fixed rate or fixed amount, or a rate or amount specified by the investor, The calculated change ratio or amount of the external factor data is displayed on the reference information screen 500 (FIG. 13) attached to the order screen 400 (see FIG. 12). It performs a process of displaying the irradiation). That is, the conditional order reception processing means 24 can calculate and display the change amount (change rate) of the explanatory variable corresponding to the change amount (change rate) of the stock price of the order symbol as the objective variable. ing.

  Specifically, the conditional order reception processing means 24 acquires each regression coefficient corresponding to the brand identification information on the ordered brand from the regression equation database 32 (see FIG. 4) and also corresponds to each acquired regression coefficient. The actual value of the external factor data that is the explanatory variable X (current value is preferable, but the past value may be used) is acquired from the external factor database 31 (see FIG. 3), and each of the acquired regression coefficients and explanatory variables X is acquired. By using the actual value of the external factor data, an estimated value Y ′ of the stock price of the order symbol as the objective variable is calculated according to the regression equation. Subsequently, after the estimated value Y ′ is changed by adding or subtracting a predetermined or investor-designated change amount ΔY to the calculated estimated value Y ′, or by multiplying by a predetermined or investor-designated change rate ε. Value Y′after is calculated, and the actual value (estimated value Y ′) of the external factor data that is the explanatory variable Xnon-target other than the changed value Y′after and the explanatory variable Xtarget to be referenced is calculated. By substituting the same data) into the regression equation (each regression coefficient is the same as when the estimated value Y ′ is calculated), the value Xtarget, after after the change of the explanatory variable Xtarget to be referred to is calculated. . Then, Xtarget, after-Xtarget is calculated and displayed as the change amount of the explanatory variable Xtarget to be referred to, or (Xtarget, after-Xtarget) / Xtarget is calculated as the change rate of the explanatory variable Xtarget to be the reference target And display.

  The order condition success / failure determination processing means 25 is stored in the current value of the external factor data stored in the external factor database 31 (see FIG. 3) and the stock price database 30 (see FIG. 2). Whether or not an ordering condition including a condition relating to an external factor included in the order data stored in the order database 35 (see FIG. 7) is satisfied using the current value of the stock price data (the latest value that is sequentially updated) Is repeatedly executed.

  At this time, the order condition success / failure determination processing means 25 stores the order condition in the external factor database 31 (see FIG. 3) when the order condition is composed only of the condition relating to the external factor without including the condition relating to the stock price. If the ordering condition is configured to include both the condition relating to the external factor and the condition relating to the stock price, the current value of the external factor data thus obtained is stored in the external factor database 31 (see FIG. 3). Using the current value of the external factor data and the current value of the stock price data stored in the stock price database 30 (see FIG. 2), the success / failure determination process for the order condition is executed.

  The notification condition reception processing means 26 is transmitted from the investor terminal device 40 via the network 1 when the investor presses the “display notification information input screen” button 102 on the order method selection screen 100 (see FIG. 10). The notification condition input screen display request signal is received, and the display data of the notification condition input screen 600 (see FIG. 14) is transmitted to the investor terminal device 40 via the network 1, and the investor terminal device 40 transmits the network. 1 is received as part of the notification condition data, and the external factor identification information corresponding to the received brand identification information (brand code) is correlated. Notification condition input screen 600 (see FIG. 5) obtained from the sex database 33 (see FIG. 5) and using the external factor of the acquired external factor identification information as a notification condition item. 4) is transmitted to the investor terminal device 40 via the network 1, and the notification is configured to include conditions relating to external factors transmitted from the investor terminal device 40 via the network 1. The condition is received as the remaining part of the notification condition data, and the received notification condition data is associated with the investor identification information about the investor who has input the notification condition in the notification condition database 36 (see FIG. 14). The process to memorize | store is performed.

  At this time, when receiving the brand identification information (brand code) for the reporting target brand transmitted from the investor terminal device 40 via the network 1, the reporting condition reception processing means 26 inputs the reporting target brand. Using the investor identification information for the investor as a key, the brand identification information for the reporting target brand is the condition item database 34 (FIG. 6) as the brand identification information for the target brand set by the investor who has entered the reporting target brand. If it is not stored, “T0” indicating that it is common to all investors is stored in the column of the investor identification information, and the notification target brand The external factor identification information stored in the correlation database 33 (see FIG. 5) in association with the brand identification information is acquired, and the acquired external factor identification information is acquired. To the transmission data for displaying the notification condition input screen 600 (see FIG. 14) to the external factors and the notification condition items, via the network 1 to the investor terminal 40. On the other hand, when the brand identification information about the notification target brand is stored in the condition item database 34 (see FIG. 6) as the brand identification information about the setting target brand by the investor who has input the notification target brand, Investor identification information about the investor who has entered the notification target issue and issue identification information about the notification issue issue are added by the investor as a condition item to be displayed from the correlation database 33 (see FIG. 5). Alternatively, the external factor identification information about the external factor in the deleted state is acquired, and the display data of the notification condition input screen 600 (see FIG. 14) having the external factor of the acquired external factor identification information as a notification condition item is stored in the network. 1 to the investor terminal device 40.

  In addition, the notification condition reception processing means 26 transmits the display data for the notification condition input screen 600 (see FIG. 14) having external factors as notification condition items to the investor terminal device 40 via the network 1. From the external factor corresponding to the regression coefficient having a large absolute value of t value, display data of the notification condition input screen 600 displayed in order from the top is created and transmitted. In the correlation database 33 (see FIG. 5), the external factors to be displayed are displayed in the order of external factors corresponding to the regression coefficient having a large absolute value of t value, that is, according to the display order on the notification condition input screen 600. The external factor identification information is stored in the order stored in the correlation database 33. In addition, when an investor adds or deletes a condition item to be displayed on the condition item setting screen 200 (see FIG. 11), the condition item setting reception processing unit 23 causes the investor on the condition item setting screen 200 to Since the external factor identification information about the external factor to be displayed is stored in the correlation database 33 (see FIG. 5) in the order of display set by the above, it is also stored in the correlation database 33 in this case. It is only necessary to display them in the order in which they are displayed.

  Furthermore, the notification condition reception processing means 26 transmits the display data of the notification condition input screen 600 (see FIG. 14) having external factors as notification condition items to the investor terminal device 40 via the network 1. The maximum number of display items is acquired from the condition item database 34 (see FIG. 6) using the investor identification information of the investor who has entered the reporting issue as a key, and the number of external factors not exceeding the acquired maximum display number is obtained. Display data for the notification condition input screen 600 as notification condition items is created and transmitted.

The notification condition reception processing means 26 transmits the display data of the notification condition input screen 600 (see FIG. 14) having the external factor as the notification condition item to the investor terminal device 40 via the network 1. The determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code) for the notification target brand (in this embodiment, When the degree-of-freedom-corrected determination coefficient R _f ² ) is equal to or less than a predetermined boundary value (for example, a value between 0.7 to 0.8), the external value acquired from the correlation database 33 Rather than displaying only external factors of the factor identification information as notification condition items related to external factors on the notification condition input screen 600, all types of predetermined external factors (for example, external factor data) are displayed. Display data for the notification condition input screen 600 having the notification condition items as all types of external factors whose data is stored in the base 31 (see FIG. 3) is generated and transmitted. Incidentally, if the addition or deletion of condition items to be displayed has been performed by the investors in the condition item setting screen 200 (see FIG. 11) is the coefficient of determination R ² or freedom to the correlation database 33 (see FIG. 5) Since the degree corrected determination coefficient R _f ² (in this embodiment, the degree of freedom corrected determination coefficient R _f ² ) is not stored, in this case, the external factor of the external factor identification information acquired from the correlation database 33 is stored. Only the external condition (that is, the external factor added or deleted by the investor) is displayed on the notification condition input screen 600 as the notification condition item regarding the external factor.

  In addition, the notification condition reception processing means 26 combines conditions related to a plurality of types of external factors using AND or OR as notification condition data, or conditions related to a plurality of types or one type of external factors and notification target brands. A composite notification condition configured by combining conditions relating to the price (stock price in the present embodiment) using AND or OR is received, and associated with the investor identification information in the notification condition database 36 (see FIG. 14). It is set as the structure which can be memorize | stored.

  Further, the notification condition reception processing means 26, when the investor presses the “display reference information” button 610 on the notification condition input screen 600 (see FIG. 14), the brand identification information about the brand to be notified. Is obtained from the regression equation database 32 (see FIG. 4), and notification is made as an objective variable using the obtained regression coefficient and the external factor data stored in the external factor database 31 (see FIG. 3). The rate or amount of change in the external factor data as an explanatory variable when the price data of the target issue (stock price data in the present embodiment) changes by a fixed rate or fixed amount, or a rate or amount specified by the investor. Reference information that is calculated and the calculated change rate or amount of the external factor data is attached to the notification condition input screen 600 (see FIG. 14). It performs a process of displaying the screen 500 (see FIG. 13). That is, the notification condition reception processing means 26 can calculate and display the change amount (change rate) of the explanatory variable corresponding to the change amount (change rate) of the stock price of the notification target brand as the objective variable. ing. The specific processing is the same as that in the case of the conditional order reception processing means 24.

  The notification condition success / failure determination processing means 27 is stored in the current value (latest value updated sequentially) of the external factor data stored in the external factor database 31 (see FIG. 3) and the stock price database 30 (see FIG. 2). Whether a notification condition including a condition relating to an external factor included in the notification condition data stored in the notification condition database 36 (see FIG. 14) is satisfied using the current value of stock price data (the latest value that is sequentially updated). The process of determining whether or not is repeated.

  At this time, the notification condition success / failure determination processing means 27 stores the notification condition in the external factor database 31 (see FIG. 3) when the notification condition includes only the condition relating to the external factor without including the condition relating to the stock price. In the case where the notification condition includes both the condition relating to the external factor and the condition relating to the stock price, the current value of the external factor data thus obtained is stored in the external factor database 31 (see FIG. 3). The notification condition success / failure determination process is executed using the current value of the external factor data and the current value of the stock price data stored in the stock price database 30 (see FIG. 2).

  When the notification target brand order acceptance processing means 28 determines that the notification condition is satisfied by the notification condition success / failure determination processing means 27, the order screen 700 uses the notification target brand for which the notification condition is satisfied as the order brand (see FIG. 14). Is transmitted to the investor terminal device 40 via the network 1, and the brand identification information (brand code) and the order quantity (order code) about the order brand transmitted from the investor terminal device 40 via the network 1. In the present embodiment, the order data including the number of shares in the order), the buying / selling classification, the market price / limit price and the limit price are received, and the order identification information (order number) is automatically given to the received order data. A process of storing the order data in the order database 35 (see FIG. 7) in association with the automatically assigned order identification information is executed. In addition, it is good also as a structure which an investor inputs the order brand which is a notification subject brand displayed on the order screen 700 (refer FIG. 14) for confirmation. That is, the default display for the ordered brand is the brand to be notified, but this may be configured so that it can be changed and input.

  When the order processing unit 29 determines that the order condition is satisfied by the order condition success / failure determination processing unit 25, the order processing unit 29 uses the order data stored in the order database 35 (see FIG. 7) to place the order data (order identification information, investment). House identification information, brand identification information, order quantity, trading category, limit price) are created, and the created ordering data is transmitted via the communication line 2 to the stock exchange system 50 which is a trading market system for financial products. The process which performs is performed. In this case, the order data for which “1 (conditional order)” is stored in the order method column of the order database 35 (see FIG. 7) is the target of the ordering process.

  Further, the order processing means 29 uses the order data received by the notification target brand order receiving processing means 28 and stored in the order database 35 (see FIG. 7) to place order data (order identification information, investor identification information, brands). (Including identification information, order quantity, trading category, limit price), and processing for transmitting the created order data to the stock exchange system 50 via the communication line 2 is executed. In this case, the order data for which “2 (order after notification)” is stored in the order method column of the order database 35 (see FIG. 7) is the target of the ordering process.

  As shown in FIG. 2, the stock price database 30 stores the stock price data acquired by the stock price data / external factor data acquisition processing means 21 in association with stock brand identification information (brand code) and the date and time of occurrence of the stock price. is there.

  As shown in FIG. 3, the external factor database 31 stores the external factor data acquired by the stock price data / external factor data acquisition processing means 21 in association with the external factor identification information and the occurrence date and time of the external factor value. is there.

As shown in FIG. 4, the regression equation database 32 includes a regression coefficient and its t value constituting the regression equation obtained by the analysis processing means 22, and a determination coefficient R ² or a freedom coefficient corrected determination coefficient R _f ² (this In the embodiment, the degree of freedom corrected determination coefficient R _f ² is stored in association with the brand identification information (brand code).

Correlation database 33, as shown in FIG. 5, the external factors identification information about the external factors that correlated with stock price of each stock was determined by the analysis processing unit 22, the coefficient of determination R ² or flexibility amended decision Along with the coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ), the order screen 400 (see FIG. 12) and the notification condition input screen 600 (see FIG. 14) in descending order of correlation. (In the order in which they are displayed as condition items from above)) in association with the brand identification information (brand code).

  In the present embodiment, the regression database 32 (see FIG. 4) and the correlation database 33 (see FIG. 5) are separate databases, but they may be integrated into a database.

  As shown in FIG. 6, the condition item setting database 34 includes the maximum number of external factors displayed as condition items on the order screen 400 (see FIG. 12) and the notification condition input screen 600 (see FIG. 14), and the investors. The brand identification information (brand code) for the setting target brand in which the condition item to be displayed has been added or deleted is stored in association with the investor identification information for the investor for which the condition item has been set.

  As shown in FIG. 7, the order database 35 includes order identification information (order number), investor identification information, brand identification information (brand code), order quantity (number of stocks ordered), trading category, market / limit price and limit price. , The order method (whether it is a conditional order or an order after notification), the status that indicates the processing status of the order, the conditions that constitute the ordering conditions (conditions relating to stock prices and conditions relating to external factors), and the ordering conditions Conditional expressions and the like are stored in association with each other.

  As shown in FIG. 14, the notification condition database 36 includes investor identification information, brand identification information (brand code), conditions constituting the notification condition (a condition relating to stock prices and a condition relating to external factors), and a conditional expression for the notification condition. In addition, the status indicating the processing status is stored in association with each other.

  In the above, each processing means 21 to 29 constituting the ordering system 10 defines a central processing unit (CPU) provided inside the computer main body constituting the ordering system 10 and an operation procedure of this CPU. Realized by one or more programs.

  Each database 30 to 36 constituting the ordering system 10 is preferably realized by, for example, a hard disk or the like. However, as long as there is no problem in storage capacity, access speed, etc., ROM, EEPROM, flash memory, RAM, MO, CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, FD, magnetic tape, or a combination thereof may be employed.

  Further, the ordering system 10 is not limited to one realized by one computer or one CPU, and may be realized by performing distributed processing with a plurality of computers or a plurality of CPUs.

  The investor terminal device 40 is configured by a computer, and includes input means such as a mouse and a keyboard, a display device such as a liquid crystal display and a CRT display, and a printing device. The investor terminal device 40 may be a mobile device such as a mobile phone (including PHS) or a personal digital assistant (PDA).

  The stock exchange system 50 is a system configured by one or a plurality of computers installed in, for example, the Tokyo Stock Exchange. In the present embodiment, the stock exchange system 50 is used. However, the trade market system in the present invention is not limited to this, and generally handles financial products including securities other than stocks. A trading market system is included, and for example, a private trading system (PTS) may be used.

  The information providing system 60 is a system constituted by one or a plurality of computers, such as an information vendor system, but may be another system of a financial institution such as a securities company, or a stock exchange system. It may be a trading market system such as 50.

  In the present embodiment, the order system 10 performs conditional order processing and post-notification order processing as follows.

  (Conditioned order processing flow)

  In FIG. 8, the processing by the order system 10 is started (step S1), and the price data of the financial product (this embodiment) is transmitted from the information providing system 60 via the communication line 3 by the stock price data / external factor data acquisition processing means 21. Then, as an example, stock price data is acquired) and external factor data is periodically acquired, and the acquired stock price data is associated with stock name identification information (stock code) and the occurrence date and time of the stock price database 30 (FIG. The obtained external factor data is stored in the external factor database 31 (see FIG. 3) in association with the external factor identification information and the occurrence date and time of the external factor value (step S2).

Subsequently, the analysis processing means 22 uses the past stock price data (for example, closing price data for the past 30 days) stored in the stock price database 30 (see FIG. 2) as a target variable, and the external factor database 31. Using the past external factor data (for example, data for the past 30 days) stored in a predetermined period stored in (see FIG. 3) as an explanatory variable, regression analysis is performed for each stock name to obtain a regression equation. In the present embodiment, the first analysis process (the details are the same as described above and will not be described here) among the three analysis processes described above, and the external factor database 31 (see FIG. 3), n types of external factor data are stored, Σ _n C _k (where k = 2 to k = n) regression equations, or Σ _n C _k (where From the analysis with two types of external factors to the analysis with the number of types of external factors smaller than n types, such as the sum from k = 2 to k = 5, etc.) (Step S3). Then, the analysis processing means 22 determines the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ) among these regression equations. The maximum regression formula is selected for each brand, the regression coefficient constituting the selected regression formula and its t value, and the determination coefficient R ² or the freedom degree corrected determination coefficient R _f ² (in this embodiment, the degree of freedom correction) the to.) and already coefficient of determination _R ^{f 2,} is stored in association with the brand identity (brand code) in the regression equation database 32 (see FIG. 4) (step S3).

For example, the brand A, the price of brand A and objective variable _{Y A,} exchange (external factor identification information = G1) as explanatory variables X1, NY Dow (external factor identification information = G2) as explanatory variables X2, WTI crude The regression equation obtained by regression analysis using four types of external factors with the future (external factor identification information = G3) as the explanatory variable X3 and the Baltic shipping index (external factor identification information = G4) as the explanatory variable X4. It is assumed that the degree-of-freedom-corrected determination coefficient R _f ² is 0.76 and the maximum. The regression equation is Y _A = a0 + a1 · X1 + a2 · X2 + a3 · X3 + a4 · X4. The regression coefficients a0, a1, a2, a3, and a4 are obtained, and the t value of the regression coefficient a1 at this time is 8. 3, the t value of a2 is 4.9, the t value of a3 is -0.9, and the t value of a4 is 0.1, as shown in the example of FIG. Are stored in the regression database 32 as a result of the regression analysis. In the example of FIG. 4, for stocks C, a stock price stocks C and objective variable Y _C, exchange (external factor identification information = G1) as explanatory variables X1, the NY Dow (external factor identification information = G2) Degree-of-freedom corrected coefficient R _f ^{2 of} regression equation obtained by regression analysis using three types of external factors with explanatory variable X2 and WTI crude oil futures (external factor identification information = G3) as explanatory variable X3 is 0 Since the maximum was .73, the regression coefficient related to the Baltic Shipping Index (external factor identification information = G4) and its t value are not stored.

Then, among the regression coefficients constituting the regression equation stored in the regression equation database 32 (see FIG. 4) by the analysis processing means 22, the t value exceeds a predetermined threshold value (for example, 2) or is equal to or more than the threshold value. The external factor identification information for the external factor corresponding to the regression coefficient is determined as the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² (in this embodiment, the degree-of-freedom-corrected determination coefficient R _f ² ). In addition, the correlation value is stored in the correlation database 33 (see FIG. 5) in association with the brand identification information (brand code) in descending order of t value (step S4). That is, the correlation is determined based on the t value, and external factors that can be determined to have high correlation are stored in the correlation database 33. At this time, in the column of investor identification information in the correlation database 33, information “T0” indicating that the data is commonly applied to all investors is stored.

  In the example of FIG. 3, the t value of the regression coefficient a1 of the exchange rate (external factor identification information = G1) which is the explanatory variable X1 is 8.3 for the brand A, which is the first largest and NY Dow which is the explanatory variable X2. T value of the regression coefficient a2 of (external factor identification information = G2) is 4.9, the second largest and the t value of the regression coefficient a3 of the WTI crude oil future (external factor identification information = G3) which is the explanatory variable X3 Is −0.9, which is smaller than a threshold (for example, 2), the t-value of the regression coefficient a4 of the Baltic shipping index (external factor identification information = G4), which is the explanatory variable X4, is 0.1, and the threshold ( For example, since it is smaller than 2), as shown in FIG. 3, the external factor identification information G1 for the exchange with the first largest t value and the external factor identification information G2 for the NY Dow with the second largest t value are In order, the correlation database 33 It has become a state.

  Thereafter, when the investor wants to add or delete external factors displayed as order condition items or notification condition items on the order screen 400 (see FIG. 12) or the notification condition input screen 600 (see FIG. 14), that is, the system If you want to set changes to the external factors (external factors stored in the correlation database 33 as condition items common to all investors for each brand), the order method selection screen 100 A display request signal (see FIG. 10) is transmitted to the ordering system 10 via the network 1. When the order system 10 receives the display request signal of the order method selection screen 100 (see FIG. 10), the display data of the order method selection screen 100 is operated via the network 1 by the investor who has made the display request. It transmits to the investor terminal device 40. Then, an order method selection screen 100 as shown in FIG. 10 is displayed on the screen of the investor terminal device 40.

  In FIG. 10, the order method selection screen 100 includes a “display order screen” button 101 when placing a conditional order, a “display alert condition input screen” button 102 when placing an order after notification, A “condition item setting screen display” button 103 is provided for setting the selected condition item.

  In the order method selection screen 100 of FIG. 10, when the investor performs a pressing operation of the “display condition item setting screen” button 103, a condition item setting screen display request signal is transmitted to the ordering system 10 via the network 1. The In the order system 10, when the condition item setting reception processing means 23 receives the condition item setting screen display request signal from the investor terminal device 40, the display data of the condition item setting screen 200 (see FIG. 11) is stored in the network 1. To the investor terminal device 40. Then, a condition item setting screen 200 as shown in FIG. 11 is displayed on the screen of the investor terminal device 40 (step S5).

  In FIG. 11, the condition item setting screen 200 includes condition items (ordering condition items for display on the order screen 400 (see FIG. 12) and notification condition items for display on the notification condition input screen 600 (see FIG. 14)). A maximum display number input unit 210 for inputting the maximum display number of external factors, and a “send” button 211 for transmitting the maximum display number input to the maximum display number input unit 210 to the ordering system 10. A setting target brand input unit 220 for inputting the target brand and a “condition item display” button 221 for displaying condition items common to all investors regarding the setting target brand are provided.

  In the condition item setting screen 200 of FIG. 11, when the investor inputs the maximum display number to the maximum display number input unit 210 and presses the “Send” button 211, the maximum display number is changed to the order system via the network 1. 10 is transmitted. In the order system 10, the condition item setting reception processing means 23 receives the maximum number of display items, and associates the received maximum number of display items with the investor identification information for the investor who has input the condition item setting database 34 (FIG. 6) (step S5). Note that the maximum number of items displayed applies to all issues.

  Further, in the condition item setting screen 200 of FIG. 11, when the investor inputs the setting target brand to the setting target brand input unit 220 and presses the “condition item display” button 221, the brand identification information about the setting target brand is displayed. (Brand code) is transmitted to the ordering system 10 via the network 1. In the order system 10, when the condition item setting reception processing means 23 receives the brand identification information about the brand to be set, external factor identification information corresponding to the received brand identification information is acquired from the correlation database 33 (see FIG. 5). (However, the external factor identification information of the record in which “T0 (common)” is stored in the investor identification information column is acquired.) The external factor of the acquired external factor identification information is displayed on the order screen 400 (FIG. 12). On the condition item setting screen 200 (see FIG. 11) including a part to be displayed as a candidate for the order condition item for display on the reference) and a notification condition item candidate for display on the notification condition input screen 600 (see FIG. 14). The display data is transmitted to the investor terminal device 40 via the network 1 (step S5).

  Then, on the condition item setting screen 200 in FIG. 11, the external factors of the setting target brands are displayed as the external factors stored in the correlation database 33 (see FIG. 5) as condition items common to all investors. An adoption selection unit 222 that selects to be adopted as a condition item and a deletion selection unit 223 that selects deletion of the external factor from the condition items to be displayed are displayed, and an external factor database 31 (FIG. 3). Among external factors stored in the correlation database 33 (see FIG. 5) as condition items common to all investors with respect to the setting target issue. An additional selection unit 224 for selecting to add as a condition item to be displayed is displayed and further displayed on the condition item setting screen 200 External factors Te, display order input unit 225 for inputting specifying a display order of the external factors (order from the top) is displayed. The condition item setting screen 200 also includes a “setting” button 230 for setting the condition items to be displayed and the display order of the items to be input, which are input by the investor for the setting target issues, and the setting target issues for other issues. In this case, the “Set other brands” button 240 is displayed.

  For example, on the condition item setting screen 200 in FIG. 11, Taro Yamato (investor identification information = T1), who is an investor, inputs a brand A as a setting target brand to the setting target brand input unit 220, and displays “condition item display”. When the button 221 is pressed, an external factor stored in the correlation database 33 (see FIG. 5) is stored in the condition item setting screen 200 (however, “T0 (common)” is stored in the investor identification information column). Exchange rate and NY Dow, which are external factors), and WTI crude oil futures and Baltic shipping index, etc., which are external factors other than exchange and NY Dow, are also displayed below. .

  Then, in the condition item setting screen 200 of FIG. 11, the investor performs input to the employment selection unit 222, the deletion selection unit 223, the addition selection unit 224, and the display order input unit 225, and presses the “set” button 230. When operated, the data for setting the condition items is transmitted to the order system 10 via the network 1. In the order system 10, when the condition item setting reception processing means 23 receives the condition item setting data from the investor terminal device 40, the condition item setting is performed with the brand identification information (brand code) for the brand to be set. The external factor identification of the external factor added or deleted by the investor as a condition item to be displayed is stored in the condition item setting database 34 (see FIG. 6) in association with the investor identification information of the investor. Correlation database 33 (see FIG. 5) in which the information is associated with the investor identification information for the investors who set the condition items and the brand identification information (brand code) for the brand to be set in accordance with the input specified display order. (Step S5).

  For example, on the condition item setting screen 200 in FIG. 11, Taro Yamato (investor identification information = T1), who is an investor, inputs a brand A as a setting target brand to the setting target brand input unit 220, and displays “condition item display”. When the button 221 is pressed, as shown in the example of FIG. 11, the exchange rate and NY Dow are directly adopted as condition items to be displayed, and WTI crude futures are added as condition items to be displayed. , Exchange rate, WTI crude futures, NY Dow in the order of display, as shown in the example of FIG. 6, the stock A, which is the stock identification information about the stock to be set, is the investor who has set the condition items Is stored in the condition item setting database 34 (see FIG. 6) in association with the investor identification information about Taro Yamato = T1. In addition, as shown in the example of FIG. 5, the external factor identification information G1, G3, and G2 for the exchange rate, WTI crude futures, and NY Dow set the condition items in the same order as the input specified display order. It is stored in the correlation database 33 in association with the investor identification information T1 for the investor Yamato Taro and the brand A which is the brand identification information for the setting brand.

  Subsequently, when the investor wants to place a conditional order, a display request signal for the order method selection screen 100 (see FIG. 10) is transmitted to the order system 10 via the network 1. When the order system 10 receives the display request signal of the order method selection screen 100 (see FIG. 10), the display data of the order method selection screen 100 is operated via the network 1 by the investor who has made the display request. It transmits to the investor terminal device 40. Then, an order method selection screen 100 as shown in FIG. 10 is displayed on the screen of the investor terminal device 40.

  In the order method selection screen 100 of FIG. 10, when the investor performs a pressing operation of the “display order screen” button 101, an order screen display request signal is transmitted to the order system 10 via the network 1. In the order system 10, when the order screen display request signal from the investor terminal device 40 is received by the conditional order reception processing means 24, the display data of the order screen 300 (see FIG. 12) is invested via the network 1. It transmits to the house terminal device 40. Then, an order screen 300 as shown in FIG. 12 is displayed on the screen of the investor terminal device 40 (step S6).

  In FIG. 12, the order screen 300 includes an order brand input unit 301 for inputting an order brand, an order quantity input unit 302 for inputting an order quantity (number of ordered stocks), a trade category input unit 303 for inputting a trade category, A “Next” button 310 is provided for shifting to an input operation for the next item such as ordering conditions.

  In the order screen 300 of FIG. 12, when the investor inputs data to the order brand input unit 301, the order quantity input unit 302, and the trade classification input unit 303 and presses the “Next” button 310, the order brand is displayed. Are transmitted to the order system 10 via the network 1 as part of the order data. In the order system 10, when the conditional order reception processing means 24 receives the brand identification information, the order quantity, and the trading category, the external factor identification information corresponding to the received brand identification information (brand code) is stored in the correlation database 33 ( (See FIG. 5) (Step S6).

  At the time of the acquisition process of the external factor identification information, the investor identification information about the investor who has placed the order (at this stage, it has already been input by the investor) by the conditional order reception processing means 24. It is determined whether or not the brand identification information for the ordered brand is stored in the condition item database 34 (see FIG. 6) as the brand identification information for the setting target brand by the investor who has placed the order. If not stored, “T0” indicating that it is common to all investors is stored in the column of the investor identification information, and correlated with the issue identification information on the order issue, and is stored in the correlation database. The external factor identification information stored in 33 (see FIG. 5) is acquired. On the other hand, if stored, the condition item to be displayed from the correlation database 33 (see FIG. 5) using the investor identification information for the investor who placed the order and the issue identification information for the order issue as keys. As described above, external factor identification information about the external factor added or deleted by the investor is acquired (step S6).

  For example, as shown in FIG. 12, if Taro Yamato (investor identification information = T1) places an order for the issue A, the condition item database 34 stores information about Taro Yamato who has placed the order, as shown in FIG. Since the brand identification information for the brand A, which is the order brand, is stored as the brand identification information for the setting target brand in association with the investor identification information T1, as shown in FIG. Added or deleted from the correlation database 33 by the investor Taro Yamato as a condition item to be displayed from the correlation database 33 using the investor identification information T1 for a certain Yamato Taro and the brand identification information for the brand A as an order brand. External factor identification information G1, G3, and G2 regarding the exchange rate, WTI crude futures, and NY Dow, which are external factors of the state, are acquired.

  Also, unlike the example of FIG. 12, if Taro Yamato (investor identification information = T1) has placed an order for the stock B, as shown in FIG. Since the brand identification information for the brand B, which is the order brand, is not stored as the brand identification information for the setting target brand in association with the investor identification information T1 for the same as shown in FIG. External factor identification information G3 and G2 for WTI crude oil futures and NY Dow are acquired from the correlation database 33 by using the investor identification information T0 indicating the presence and the brand identification information for the brand B as an order brand.

  Then, the display data of the order screen 400 (see FIG. 12) having the external factor of the external factor identification information acquired from the correlation database 33 as the ordering condition item by the conditional order reception processing unit 24 is transmitted via the network 1. It transmits to the investor terminal device 40. Then, an order screen 400 as shown in FIG. 12 is displayed on the screen of the investor terminal device 40 (step S6).

  In FIG. 12, the order screen 400 displays an order brand display unit 401 that displays an order brand that has already been transmitted to the order system 10, an order quantity display unit 402 that displays a transmitted order quantity (number of ordered stocks), and a transmission. A trading category display unit 403 for displaying a completed trading category, a market selection unit 410 for selecting to place an order in the market, a limit selection unit 411 for selecting to place an order in the market, and a transmission to the market A limit input unit 412 for inputting the limit price is provided. Note that the limit data input to the limit input unit 412 is limit data transmitted to the stock exchange system 50, so the stop limit data when placing a so-called stop limit order is not input here.

  The order screen 400 also includes a “reference information display” button 420 for displaying reference information when inputting ordering conditions for the order brand, and a stock price (price) of the order brand constituting the ordering condition. There are provided condition input sections 430 to 432 and input sections 440 to 446, 450 to 456 and 460 to 466 for inputting conditions relating to external factors as condition items constituting ordering conditions.

  In the example of FIG. 12, Taro Yamato (investor identification information = T1) has placed an order for the stock A, and therefore, in the input section for the condition relating to the stock price (price), the stock is a condition that constitutes the ordering condition. A condition 1 selection unit 430 that selects condition 1 related to the stock price (price) of A, and a stock price input unit (price input unit) 431 that inputs the stock price (price) of the brand A as a condition related to the stock price (price) of the brand A In addition, an above / below selection unit 432 for selecting above / below is provided. It should be noted that the conditions relating to the stock price (price) may be input in comparison with the previous day. For example, it may be possible to perform input such as what percentage or more rises or falls, or how many yen rises or falls relative to the closing price of the previous day or the opening price of the day.

  In addition, the input unit for inputting conditions relating to external factors includes a condition 2 selection unit 440 for selecting condition 2 relating to exchange as a condition constituting the ordering condition, and an exchange value for inputting a value of exchange as a condition relating to exchange The input unit 441, the above / below selection unit 442 for selecting above / below, the previous day percentage input unit 443 for inputting the exchange rate condition as a percentage of the previous day, and the up / down selection unit for selecting up / down 444, a day-to-day relative value input unit 445 for inputting a condition relating to the exchange rate relative to the previous day, and an up / down selection unit 446 for selecting up / down.

  Furthermore, in the input unit for inputting conditions relating to external factors, a condition 3 selecting unit 450 for selecting condition 3 relating to exchange as a condition constituting the ordering condition, and a value of WTI crude future as a condition relating to WTI crude future WTI crude oil futures value input unit 451 to be input, above / below to select above / below selection unit 452, day-to-day ratio input unit 453 to input WTI crude futures conditions as a percentage of the previous day, and up / down An up / down selection unit 454 for selecting the WTI crude oil futures relative value input unit 455 for inputting a relative value relative to the previous day, an up / down selection unit 456 for selecting up / down. Is provided.

  In addition, in the input unit for inputting conditions relating to external factors, a condition 4 selection unit 460 for selecting condition 4 relating to NY Dow as a condition constituting the ordering condition, and a value of NY Dow as a condition relating to NY Dow NY Dow value input unit 461 to select, above / below selection above / below selection unit 462, previous day ratio percentage input unit 463 for inputting the condition relating to NY Dow as a percentage of the previous day, and selection of up / down An up / down selection unit 464, a previous day relative value input unit 465 for inputting a condition related to NY Dow as a relative value to the previous day, and an up / down selection unit 466 for selecting up / down are provided. Yes.

  In the example of FIG. 12, input units 440 to 446, 450 to 456, 460 to 466 for inputting conditions relating to external factors as condition items constituting ordering conditions are exchange rates, WTI crude futures, NY Dow Although displayed in order, this display order is the same as the storage order of the external factor identification information G1, G3, G2 for the exchange to the correlation database 33 (see FIG. 5), WTI crude futures, and NY Dow. . It should be noted that the storage order of external factors in the correlation database 33 (see FIG. 5) is the order of external factors corresponding to the regression coefficient having a large absolute value of t value, that is, the order of external factors having high correlation. Or it is the order specified by the investors.

  Furthermore, the order screen 400 has an order condition configured by connecting all selected conditions (conditions 1 and 4 selected from condition 1 to condition 4 in the example of FIG. 12) with “AND”. AND selection unit 470 for selecting, OR selection unit 471 for selecting an ordering condition formed by connecting all selected conditions with "OR", and a conditional expression input unit for investors to input a conditional expression 472 and an “order” button 480 for sending input data to the ordering system 10. Although the input of the conditional expression to the conditional expression input unit 472 is performed according to a predetermined rule, this rule may be prepared separately, for example, as in a conditional expression input manual.

  Then, on the order screen 400 of FIG. 12, the investor inputs the market price / limit price and order price and ordering conditions (a condition relating to stock prices, a condition relating to external factors, and a conditional expression), and an “order” button 480 When the button is pressed, the input data is transmitted to the order system 10 via the network 1. In the order system 10, the conditional order acceptance processing means 24 determines the market price / limit price and order price from the investor terminal device 40, and the ordering conditions (stock price condition, external factor condition, and conditional expression), Order identification information (order number) for the received order data (brand identification information about the order brand, order quantity, trading category, market price / limit price and limit, order conditions) received as part of the rest of the order data ) And the received order data is stored in the order database 35 (see FIG. 7) in association with the automatically assigned order identification information (order number) and the investor identification information of the investor who has placed the order. (Step S6).

  In the example of FIG. 12, if Taro Yamato (investor identification information = T1) increases the stock price of stock A to 600 yen (so-called stop limit) and NY Dow rises by 3.0% or more from the previous day, Since an input of buying 2000 shares with A of 610 yen (limit price) or less is performed, order data is stored as order identification information = D0001 in the example of FIG. In the example of FIG. 12, since the AND selection unit 470 is selected in a state where the condition 1 selection unit 430 and the condition 4 selection unit 460 are selected, as shown in FIG. ) AND (condition 4) is automatically stored, but the same is true if the investor manually inputs (condition 1) AND (condition 4) to the conditional expression input unit 472.

  Further, when the investor presses the “display reference information” button 420 on the order screen 400 in FIG. 12, a reference information display request signal is transmitted to the order system 10 via the network 1. In the order system 10, when the reference information display request signal from the investor terminal device 40 is received by the conditional order reception processing means 24, the regression coefficient corresponding to the brand identification information for the ordered brand is represented by the regression equation database 32 (FIG. 4). Price data (in this embodiment, stock price data) as an objective variable using the obtained regression coefficient and the external factor data stored in the external factor database 31 (see FIG. 3). Calculates the rate or amount of change in external factor data as an explanatory variable when the value changes by a certain rate or amount, or a rate or amount specified by the investor, and the calculated rate or amount of change in external factor data Display information screen 500 including reference information (see FIG. 13) is created, and the created reference information screen 500 ( The display data 13 reference), via the network 1 to the investor terminal 40. Then, a reference information screen 500 as shown in FIG. 13 is displayed on the screen of the investor terminal device 40.

  In FIG. 13, the reference information screen 500 includes a stock price display section (price display section) 501 that indicates the current stock price (price) of the order brand, and an exchange value display section that displays the value of the current exchange (first number). External factor current value display unit) 502, WTI crude oil futures value display unit (second external factor current value display unit) 503 indicating the current WTI crude futures value, and NY Dow indicating the current NY Dow value A value display section (third external factor current value display section) 504 is provided.

  At this time, the display on the stock price display unit (price display unit) 501 is performed using the current value of the stock price data of the order brand stored in the stock price database 30 (see FIG. 2). In addition, the current value of each external factor data stored in the external factor database 31 (see FIG. 3) is used for display on the exchange value display unit 502, the WTI crude oil futures value display unit 503, and the NY Dow value display unit 504. Do it.

  Also, on the reference information screen 500, a stock price change percentage input unit 510 for inputting a percentage of change in the stock price of the order brand as the objective variable, and a stock price change amount for inputting a change in the stock price of the stock brand as the objective variable. An input unit 511, an exchange rate change percentage display unit 512 for displaying a change rate of the exchange rate (first external factor) as an explanatory variable, and a change amount of the exchange rate (first external factor) as an explanatory variable Exchange rate change display unit 513 for displaying, WTI crude oil futures change percentage display unit 514 for displaying the percentage of change in WTI crude futures (second external factor) as explanatory variables, and WTI crude futures (in explanatory variables) WTI crude oil futures change amount display unit 515 for displaying the change amount of the second external factor), and NY Dow (the third outside variable) which is an explanatory variable NY Dow change percentage display unit 516 for displaying the percentage of change in the factor), NY Dow change amount display unit 517 for displaying the change amount of NY Dow (third external factor) that is the explanatory variable, and calculation A “calculation execution” button 520 is provided.

  In the reference information screen 500 of FIG. 13, the investor inputs the percentage ε of the change in the stock price of the ordered stock, which is the objective variable, into the stock price change percentage input unit 510, or enters the stock price change amount input unit 511 in the purpose When a change amount ΔY of the stock price of the order brand as a variable is input and a “Calculation execution” button 520 is pressed, a calculation request signal is transmitted to the order system 10 via the network 1. In the order system 10, when the calculation request signal from the investor terminal device 40 is received by the conditional order reception processing means 24, each regression coefficient corresponding to the brand identification information for the ordered brand is represented by the regression equation database 32 (see FIG. 4). ) And the actual value of the external factor data corresponding to each acquired regression coefficient (current value is preferable, but past value may be used) is acquired from the external factor database 31 (see FIG. 3). Then, using the obtained regression values and the actual values of the respective external factor data as the explanatory variables X, the estimated value Y ′ of the stock price of the ordered stock as the objective variable is calculated according to the regression equation.

For example, if the order brand is brand A, each regression coefficient a0, a1, a2, a3, a4 is acquired from the regression equation database 32 (see FIG. 4), and from the external factor database 31 (see FIG. 3), Actual value of exchange data as explanatory variable X1 (preferably current value), actual value of NY Dow data as explanatory variable X2 (preferred current value), actual value of WTI crude future data as explanatory variable X3 (current And the actual value (current value is preferable) of the Baltic shipping index data which is the explanatory variable X4 is obtained, and these are substituted into Y _A '= a0 + a1 · X1 + a2 · X2 + a3 · X3 + a4 · X4 Then, an estimated value Y _A ′ of the stock price of the brand A which is the order brand is calculated.

  Subsequently, the amount of change ΔY designated by the investor is added to or subtracted from the calculated estimated value Y ′, or the change rate ε designated by the investor is designated (for example, ε = 1 if increased by 3%) ..) Is calculated to calculate a value Y′after after the change of the estimated value Y ′, and the explanatory variable Xnon− other than the value Y′after after the change and the explanatory variable Xtarget to be referred to. By substituting the actual value of the external factor data that is the target (the same data as when the estimated value Y ′ was calculated) into the regression equation (each regression coefficient is the same as when the estimated value Y ′ was calculated). Then, the value Xtarget, after after the change of the explanatory variable Xtarget to be referred to is calculated.

For example, if the order brand is the brand A, by adding or subtracting the change amount ΔY to the calculated estimated value Y _A ′ or multiplying by the change rate ε, that is, Y _A 'after = Y _A ' The value Y _A 'after after the change of the estimated value Y ′ is calculated by ± ΔY or Y _A ' after = ε · Y _A '. If the explanatory variable Xtarget to be referenced is, for example, explanatory variable X2 (NY Dow data), the regression coefficients a0, a1, a2, a3, and a4 are not changed and other than the explanatory variable Xtarget to be referenced. The explanatory variable Xnon-target of explanatory variable X1 (exchange data), explanatory variable X3 (WTI crude oil futures data), explanatory variable X4 (Baltic shipping index data) is not changed, and Y _A 'after = a0 + a1 · X1 + a2 By substituting into X2after + a3 · X3 + a4 · X4, a value X2after after the change of the explanatory variable X2 which is the explanatory variable Xtarget to be referred to is calculated. Further, the value X1after after the change of the explanatory variable X1 (exchange data) and the value X3after after the change of the explanatory variable X3 (WTI crude oil futures data) are similarly calculated. In the examples of FIGS. 12 and 13, since the Baltic shipping index data is not a condition item to be displayed, the value X4after after the change of the explanatory variable X4 need not be calculated.

  Then, Xtarget, after-Xtarget is calculated and displayed as the change amount of the explanatory variable Xtarget to be referred to, or (Xtarget, after-Xtarget) / Xtarget is calculated as the change rate of the explanatory variable Xtarget to be the reference target And display. Note that the change amount and change rate of the explanatory variable Xtarget to be referenced are displayed including plus and minus signs, and the change amount and change rate of the stock price of the order stock that is the objective variable Y are also input, Since it can be performed with plus and minus signs, it can be grasped the direction of change in which the external factor data decreases (or increases) as the stock price data (price data) increases (or decreases). It has become.

  For example, if the order brand is brand A, (X1after-X1) / X1 is displayed on the exchange rate change display section 512, (X1after-X1) is displayed on the exchange rate display section 513, and the WTI crude futures change percentage is displayed. (X3after-X3) / X3 is displayed on display unit 514, (X3after-X3) is displayed on WTI crude oil futures change display unit 515, and (X2after-X2) / X2 is displayed on NY Dow change percentage display unit 516. Then, (X2after-X2) is displayed on the NY Dow change amount display section 517.

  Thereafter, the order condition success / failure determination processing means 25 stores the current value of the external factor data stored in the external factor database 31 (see FIG. 3) and the stock price database 30 (see FIG. 2). Using the current value of the stock price data of the ordered order (the latest value that is sequentially updated), the order conditions (the stock price condition, external factors included in the order data stored in the order database 35 (see FIG. 7)) The process for determining whether or not the condition relating to the above and the ordering condition consisting of the conditional expression) are satisfied (step S7). When the ordering conditions include conditions such as the ratio of the previous day, the ordering condition success / failure determination processing means 25 uses the past value of the external factor data stored in the external factor database 31 (see FIG. 3) or the stock price database. Using the past value of the stock price data of the order brand stored in 30 (see FIG. 2), the process for determining whether or not the ordering condition is successful is performed.

  Then, in step S7, when it is determined by the order condition success / failure determination processing unit 25 that the ordering condition is satisfied, the order processing unit 29 uses the order data stored in the order database 35 (see FIG. 7) to place the order data. (Includes order identification information, investor identification information, brand identification information, order quantity, trading category, limit price), and the created order data is a securities that is a transaction market system for financial products via the communication line 2 The data is transmitted to the exchange system 50 (step S8), and a series of processes in the case of a conditional order is terminated (step S9).

  (Flow of order processing after notification)

  In FIG. 9, the processing in steps S21 to S25 is the same as the processing in steps S1 to S5 in the case of the conditional order shown in FIG. 8, and detailed description thereof is omitted here.

  Subsequently, when the investor wants to place an order after the notification, the investor transmits a display request signal for the order method selection screen 100 (see FIG. 10) to the order system 10 via the network 1. When the order system 10 receives the display request signal of the order method selection screen 100 (see FIG. 10), the display data of the order method selection screen 100 is operated via the network 1 by the investor who has made the display request. It transmits to the investor terminal device 40. Then, an order method selection screen 100 as shown in FIG. 10 is displayed on the screen of the investor terminal device 40.

  In the order method selection screen 100 of FIG. 10, when the investor performs a pressing operation of the “display notification condition input screen” button 102, a notification condition input screen display request signal is transmitted to the order system 10 via the network 1. The In the order system 10, when the notification condition reception processing means 26 receives a notification condition input screen display request signal from the investor terminal device 40, the display data of the notification condition input screen 600 (see FIG. 14) is displayed on the network 1. To the investor terminal device 40. Then, a notification condition input screen 600 as shown in FIG. 14 is displayed on the screen of the investor terminal device 40 (step S26).

  In FIG. 14, the notification condition input screen 600 includes a notification target brand input unit 601 for inputting a notification target brand and a “notification condition item display” button 602 for displaying a notification condition item for the notification target brand. Is provided.

  In the notification condition input screen 600 of FIG. 14, when an investor inputs a notification target brand to the notification target brand input unit 601 and presses the “display notification condition item” button 602, the brand identification information about the notification target brand is displayed. (Brand code) is transmitted to the order system 10 through the network 1 as a part of the notification condition data. In the order system 10, when the notification condition reception processing means 26 receives the brand identification information about the brand to be notified, external factor identification information corresponding to the received brand identification information (brand code) is stored in the correlation database 33 (see FIG. 5). ) (Step 2S6).

  At the time of the acquisition process of the external factor identification information, the notification condition reception processing means 26 uses the investor identification information (in this stage, the investor identification information has already been input for the investor who has input the target brand to be notified. .) Is used as a key to store the brand identification information for the reporting target brand in the condition item database 34 (see FIG. 6) as the brand identification information for the setting target brand by the investor who has input the reporting target brand. Judge whether or not. If not stored, “T0”, which is common to all investors, is stored in the column of the investor identification information, and correlated with the brand identification information about the reporting target brand. External factor identification information stored in the database 33 (see FIG. 5) is acquired. On the other hand, if stored, the correlation database 33 (see FIG. 5) is used with the investor identification information about the investor who has entered the notification subject issue and the issue identification information about the issue issue issue as keys. External factor identification information about an external factor added or deleted by an investor as a display target condition item is acquired (step S26).

  For example, as shown in FIG. 14, if Taro Yamato (investor identification information = T1) inputs a reporting target brand for brand B, as shown in FIG. As shown in FIG. 5, since the brand identification information for the brand B that is the reporting target brand is not stored as the brand identification information for the brand to be set in association with the investor identification information T1 for Taro Yamato who entered In addition, from the correlation database 33, external factors for WTI crude futures and NY Dow, using as a key the investor identification information T0, which is common to all investors, and the brand identification information for the brand B that is the reporting target Identification information G3, G2 is acquired.

  Then, a notification condition input screen 600 (see FIG. 14) including an input portion of <notification condition> having an external factor of the external factor identification information acquired from the correlation database 33 as a notification condition item by the notification condition reception processing unit 26. The display data is transmitted to the investor terminal device 40 via the network 1. Then, a notification condition input screen 600 including an input portion of <notification condition> as shown in FIG. 14 is displayed on the screen of the investor terminal device 40 (step S26).

  In FIG. 14, in addition to the notification target brand input unit 601 and the “display notification condition item” button 602, the notification condition input screen 600 displays reference information for inputting the notification condition for the notification target brand. A “display reference information” button 610, conditions input sections 620 to 622 relating to the stock price (price) of the notification target brand constituting the notification condition, and conditions relating to external factors as condition items constituting the notification condition Input sections 630 to 636 and 640 to 646 for inputting are provided.

  In the example of FIG. 14, Taro Yamato (investor identification information = T1) inputs the brand B, and therefore, in the input part of the condition relating to the stock price (price), the brand is included as a condition constituting the notification condition. A condition 1 selection unit 620 that selects condition 1 related to the stock price (price) of B, and a stock price input unit (price input unit) 621 that inputs the stock price (price) of the brand B as a condition related to the stock price (price) of the brand B In addition, an above / below selection unit 622 for selecting above / below is provided. It should be noted that the conditions relating to the stock price (price) may be input in comparison with the previous day. For example, it may be possible to perform input such as what percentage or more rises or falls, or how many yen rises or falls relative to the closing price of the previous day or the opening price of the day.

  In addition, an input unit for inputting conditions relating to external factors includes a condition 2 selecting unit 630 for selecting condition 2 relating to WTI crude futures as a condition constituting the notification condition, and a WTI crude future relating to conditions relating to WTI crude futures. WTI crude oil futures value input unit 631 that inputs a value, above / below selection above / below selection unit 632, previous day percentage input unit 633 that inputs WTI crude futures conditions as a percentage of the previous day, and rise -Rising / falling selection unit 634 for selecting a decline, Relative value input unit 635 for inputting the relative value of the WTI crude futures relative to the previous day's value, and a rising / falling selection unit for selecting rise / fall 636.

  Furthermore, a condition 3 selection unit 640 that selects condition 3 related to NY Dow as a condition constituting the notification condition, and a value of NY Dow as a condition related to NY Dow are input to the input unit that inputs conditions related to external factors NY Dow value input unit 641 to select, above / below to select above / below selection unit 642, day-to-day ratio input unit 643 to input the condition related to NY Dow as a percentage of the previous day, and to select up / down An up / down selection unit 644, a previous day relative value input unit 645 for inputting a condition relating to NY Dow as a relative value with respect to the previous day, and an up / down selection unit 646 for selecting up / down are provided. Yes.

  And in the example of FIG. 14, the input parts 630-636, 640-646 which input the condition concerning each external factor as a condition item which comprises alerting | reporting conditions are displayed in order of WTI crude oil futures and NY Dow. However, this display order is the same as the storage order of the external factor identification information G3 and G2 for the WTI crude futures and NY Dow in the correlation database 33 (see FIG. 5). It should be noted that the storage order of external factors in the correlation database 33 (see FIG. 5) is the order of external factors corresponding to the regression coefficient having a large absolute value of t value, that is, the order of external factors having high correlation. Or it is the order specified by the investors.

  Furthermore, the notification condition input screen 600 includes notification conditions configured by connecting all selected conditions (conditions 1 and 3 selected from condition 1 to condition 3 in the example of FIG. 14) with “AND”. An AND selection unit 650 that selects to perform, an OR selection unit 651 that selects a notification condition configured by connecting all the selected conditions with “OR”, and a conditional expression for an investor to input a conditional expression An input unit 652 and a “setting” button 660 for transmitting input data to the ordering system 10 are provided. Although the input of the conditional expression to the conditional expression input unit 652 is performed according to a predetermined rule, this rule may be prepared separately, for example, as in a conditional expression input manual.

  Then, on the notification condition input screen 600 of FIG. 14, when the investor inputs notification conditions (a condition relating to stock prices, a condition relating to external factors, and a conditional expression) and presses the “set” button 660, Input data is transmitted to the ordering system 10 via the network 1. In the order system 10, the notification condition reception processing means 26 receives notification conditions (a condition relating to stock prices, a condition relating to external factors, and a conditional expression) from the investor terminal device 40 as a part of the remaining notification condition data. The notification condition data 36 (see FIG. 14) is obtained by associating the received notification condition data (the brand identification information about the notification target brand and the notification condition) with the investor identification information about the investor who has input the notification condition. (Step S26).

  In the example of FIG. 14, when Taro Yamato (investor identification information = T1) causes the stock price of the stock B to be 300 yen or less and NY Dow falls by 2.0% or more from the previous day, the notification condition is satisfied. Since the input is performed, the notification condition data is stored as in the example of the notification condition database 36 shown in FIG. In the example of FIG. 14, the AND selection unit 650 is selected in a state where the condition 1 selection unit 620 and the condition 3 selection unit 640 are selected. Therefore, the notification condition database 36 shown in FIG. Thus, conditional expression = (condition 1) AND (condition 3) is automatically stored. However, even if an investor manually inputs (condition 1) AND (condition 3) to the conditional expression input unit 652 Same thing. Further, at this stage, the investor has only entered the notification condition and has not placed an order. Therefore, the order quantity, the trading category, the market / limit price and the limit have not yet been entered. The notification condition is input when it is desired to notify when an appropriate order timing arrives so as not to miss the ordering opportunity.

  Further, in the notification condition input screen 600 of FIG. 14, when the investor presses the “display reference information” button 610, the investor presses the “display reference information” button 420 of the order screen 400 of FIG. Similarly to the case, a screen similar to the reference information screen 500 of FIG. 13 is displayed on the screen of the investor terminal device 40. The processing for displaying the screen is performed in the same manner as the processing described with reference to FIG.

  Thereafter, the notification condition success / failure determination processing means 27 stores the current value of the external factor data stored in the external factor database 31 (see FIG. 3) (the latest value updated sequentially) and the stock price database 30 (see FIG. 2). Using the current value (the latest value that is sequentially updated) of the stock price data of the notified target brand, the notification condition (condition relating to the stock price) included in the notification condition data stored in the notification condition database 36 (see FIG. 14). Then, the process of determining whether or not the condition relating to the external factor and the notification condition including the conditional expression is satisfied is repeatedly executed (step S27). When the notification condition includes conditions such as the ratio of the previous day, the notification condition success / failure determination processing means 27 uses the past value of the external factor data stored in the external factor database 31 (see FIG. 3) or the stock price database. Using the past value of the stock price data of the notification target brand stored in 30 (see FIG. 2), the process for determining whether or not the notification condition is satisfied is performed.

  Then, in step S27, when the notification condition success / failure determination processing means 27 determines that the notification condition is satisfied, the notification target brand order reception processing means 28 uses the notification target brand for which the notification condition is satisfied as an order brand. The display data of the screen 700 (see FIG. 14) is transmitted to the investor terminal device 40 via the network 1. Then, an order screen 700 as shown in FIG. 14 is displayed on the screen of the investor terminal device 40 (step S28). Note that the order screen 700 may be displayed automatically on the screen of the investor terminal device 40 or, for example, “a notification condition for the brand B that is the target brand is established. It may be displayed after a guidance display such as “Do you want to display the screen?

  In FIG. 14, the order screen 700 includes an order brand display unit 701 for displaying an order brand as a notification target brand, an order quantity input unit 702 for inputting an order quantity (in the present embodiment, the number of stocks to be ordered), and a trade classification. Purchase and sale classification input unit 703, market selection unit 710 that selects to place an order to the market by market, limit selection unit 711 that selects to order to the market by limit, and the limit price that is sent to the market A limit input unit 712 for inputting “Order” and an “Order” button 720 for transmitting the input order data to the ordering system 10 are provided.

  In the order screen 700 of FIG. 14, when the investor inputs order data and presses an “order” button 720, the brand identification information (brand code) for the ordered brand, the order quantity (in the present embodiment, the number of ordered shares) ), Order data including the trading category, the market price / limit price and the limit price are transmitted to the order system 10 via the network 1. In the order system 10, the order data received from the investor terminal device 40 is received by the notification brand order receiving processing means 28, order identification information (order number) is automatically given to the received order data, and the received order is received. The data is stored in the order database 35 (see FIG. 7) in association with the automatically assigned order identification information and the investor identification information of the investor who has placed the order (step S28).

  For example, as shown in the example of the notification condition database 36 in FIG. 14, Taro Yamato (investor identification information = T1) makes the stock price of the stock B less than 300 yen, and NY Dow is 2.0% compared to the previous day. If the notification condition is satisfied when it has fallen above, when the notification condition is satisfied, the brand B for which the notification condition is satisfied is 3000 in the market as shown in the example of the order screen 700 of FIG. When the input of stock purchase is performed, the order data is stored as the order identification information = D0002 in the example of FIG.

  Subsequently, the order data (order identification information, investor identification information) is received by the order processing means 29 using the order data received by the notification brand order receiving processing means 28 and stored in the order database 35 (see FIG. 7). , Including brand identification information, order quantity, trading category and limit price), and the created ordering data is transmitted via the communication line 2 to the stock exchange system 50, which is a trading market system for financial products (step S29) A series of processes in the case of the order after the notification is terminated (step S30).

  According to this embodiment, there are the following effects. That is, since the order system 10 includes the conditional order reception processing means 24, the external factor of the external factor identification information acquired from the correlation database 33 (see FIG. 5) is displayed on the order screen 400 (see FIG. 12). It can be displayed as an ordering condition item, and as ordering data, an ordering condition including conditions relating to external factors can be received together with brand identification information about the order brand. For this reason, if the investor inputs ordering conditions including conditions relating to external factors on the order screen 400 (see FIG. 12), the ordering condition success / failure determination processing means 25 performs the monitoring process. And can place orders on the trading market at an appropriate time when the ordering conditions are met, so the investor's monitoring burden can be reduced in order to achieve financial product buying and selling orders considering external factors. .

  In addition, since the success / failure determination of the order condition configured including the condition relating to the external factor is performed by the order condition success / failure determination processing means 25, that is, by the system, it is possible to suppress the loss of investment opportunities.

  Furthermore, since the external factor of the external factor identification information acquired from the correlation database 33 (see FIG. 5) is displayed as an order condition item on the order screen 400 (see FIG. 12), the investor places an order on the order screen 400 Use the external factor displayed as a condition item, or select the required external factor from the displayed external factors, and the condition related to the external factor (for example, the value of external factor data is more than or less than the previous day When entering the ordering conditions, consider external factors that are correlated with the issue to be traded, or store information related to the issue. It is possible to save troubles such as tracing and reconfirming knowledge, and it is possible to improve convenience for investors.

  Since the external factors of the external factor identification information acquired from the correlation database 33 (see FIG. 5) are displayed as ordering condition items on the order screen 400 (see FIG. 12), general investors with relatively little knowledge Even so, it is possible to grasp external factors that have a correlation with the brand to be traded and to input conditions relating to the external factors, and this can also improve the convenience for investors.

  Further, since the order system 10 includes the analysis processing means 22, it is possible to store the correlated external factors obtained as a result of the regression analysis in the correlation database 33 (see FIG. 5). It is possible to register correlated external factors obtained as typical analysis results. For this reason, it is possible to provide an objective information on an order screen 400 (see FIG. 12) to an investor who wants to place a purchase / sale order of financial products, and to make it possible to input more appropriate ordering conditions. Can be realized.

  Further, the conditional order reception processing means 24, when displaying the external factor as the ordering condition item on the order screen 400 (see FIG. 12), in order from the external factor corresponding to the regression coefficient having a large absolute value of t value. Because it is configured to display, the investor can see the magnitude of the correlation by looking at the display order, and input ordering conditions that emphasize the conditions related to external factors with greater correlation In addition, if the ordering conditions are input with an emphasis on the conditions related to external factors having high correlation, the position of the external factors to be adopted (external factors for inputting the conditions) will be displayed on the order screen 400 as a result. Since it is expected not to be greatly dispersed, the input work becomes easy and the usability of the system for investors can be improved.

  Further, since the order system 10 includes the condition item setting reception processing means 23 and the condition item setting database 34 (see FIG. 6), the ordering condition is displayed on the order screen 400 (see FIG. 12) by the conditional order reception processing means 24. When displaying external factors as items, it is possible to display external factors having the number of items not exceeding the maximum number of items stored in the condition item setting database 34. For this reason, it is possible to simplify the display of the order screen 400, to facilitate the judgment and work when inputting the ordering conditions by the investor, and to improve the convenience.

Then, the conditional order acceptance processing means 24 considers that the value of the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² is small as an order condition item for the order screen 400 (see FIG. 12). If the regression equation is not well applied, that is, if the reliability of the correlation between each stock obtained as an analysis result and the external factor is not high, It is possible to perform a correction process in which types of external factors are displayed on the order screen 400 as order condition items. For this reason, it is possible to prevent a situation in which an external factor that is not displayed as an ordering condition item on the order screen 400 occurs, although it is actually an external factor having a high correlation with the order brand.

  Further, the conditional order reception processing means 24 is configured to receive a composite order condition configured by combining AND or OR, so that it reflects the investor's various investment philosophies and complex investment philosophies. This makes it possible to realize the input setting of the ordered order conditions, and to further improve the convenience for investors.

  For example, Condition 1 = Stock A price of Brand A is 1500 yen or less, Condition 2 = 1 dollar is 95 yen or less, Condition 3 = NY Dow falls 200 dollars or more compared to the previous day, Condition 4 = Crude oil price is 35 dollars or less per barrel, Various conditions (conditions related to stock prices and conditions related to external factors) such as condition 5 = unemployment rate in the United States is 7% or more, condition 6 = overnight rate for unsecured calls is 0.25% or more (yen), etc. If the input of buying with conditional expression = (condition 1) AND (condition 2) is made, if the stock price of the stock A is 1500 yen or less and 1 dollar is 95 yen or less, buying This is the ordering condition. In addition, if the condition formula = (Condition 1) OR (Condition 3) is input to buy, the condition that the stock price of the stock A is 1500 yen or less, or the NY Dow falls 200 dollars or more compared to the previous day, If it satisfies, it becomes the ordering condition of buying. Further, if an input of buying is made by conditional expression = (((condition 2) AND (condition 4)) OR (condition 5)) AND (((condition 1) OR (condition 6)) AND (condition 3)), (($ 1 is 95 yen or less and crude oil price is 35 dollars or less per barrel) or US unemployment rate is 7% or more) and ((stock A stock price is 1500 yen or less, or the day after unsecured call) If the interest rate is 0.25% or more (yen) and the NY Dow falls by 200 dollars or more compared to the previous day), the purchase order condition is met.

  Further, since the order system 10 includes the condition item setting reception processing means 23, the investor adds or deletes in advance the external factors displayed as the order condition items on the order screen 400 (see FIG. 12). It can be registered in the correlation database 33 (see FIG. 5). For this reason, when placing an order, the investor can input the conditions related to his / her intended external factors to configure the order conditions, and realize the input of the order conditions in line with the investor's intention. In addition, since external factors displayed on the order screen 400 can be added or deleted in advance, there is no need to make corrections on the order screen 400 each time an order of the same brand is repeated. Investor work can also be reduced.

  Since the order system 10 includes the regression equation database 32 (see FIG. 4), the conditional order reception processing means 24 uses the regression coefficient that constitutes the regression equation stored in the regression equation database 32. The change amount and change rate of the external factor data as the explanatory variable corresponding to the change amount and change rate of the stock price data (price data) as the objective variable can be calculated and displayed (see FIG. 13). . For this reason, the investor can obtain reference information when inputting conditions related to external factors, so that the convenience of the investor can be further improved. Input settings can be made.

  Moreover, since the order system 10 includes the notification condition reception processing means 26, the external factor of the external factor identification information acquired from the correlation database 33 (see FIG. 5) is displayed on the notification condition input screen 600 (see FIG. 14). Can be received as notification condition items, and notification conditions configured to include conditions relating to external factors can be received as notification condition data together with brand identification information about the notification target brand. For this reason, if the investor inputs the notification condition including the condition relating to the external factor on the notification condition input screen 600 (see FIG. 14), the monitoring process by the notification condition success / failure determination processing unit 27 is performed. Since it is possible to place an order for the stock subject to notification and place an order on the trading market at an appropriate time when the notification conditions are satisfied, an investment can be made in order to realize an order to buy or sell financial products considering external factors. The monitoring burden on the house can be reduced.

  In addition, since the notification condition success / failure determination including the condition relating to the external factor is performed by the notification condition success / failure determination processing means 27, that is, by the system, it is possible to suppress the loss of investment opportunities.

  Furthermore, since the external factor of the external factor identification information acquired from the correlation database 33 (see FIG. 5) is displayed as the notification condition item on the notification condition input screen 600 (see FIG. 14), the investor can input the notification condition. Using an external factor displayed as a notification condition item on the screen 600 or selecting a necessary external factor from the displayed external factors, a condition related to the external factor (for example, the value of the external factor data is more or less, In order to enter the notification conditions, consider external factors that have a correlation with the notification target issue, or relate to the issue. It is possible to save troubles such as tracing information storage and reconfirming knowledge, thereby improving convenience for investors.

  And since the external factor of the external factor identification information acquired from the correlation database 33 (see FIG. 5) is displayed on the notification condition input screen 600 (see FIG. 14) as the notification condition item, the general knowledge with relatively little knowledge Even an investor can understand external factors that have a correlation with the issue subject to notification, and enter the conditions related to those external factors, which can also improve the convenience of investors. .

  Further, since the order system 10 includes the analysis processing means 22, it is possible to store the correlated external factors obtained as a result of the regression analysis in the correlation database 33 (see FIG. 5). It is possible to register correlated external factors obtained as typical analysis results. For this reason, it is possible to provide objective information on the notification condition input screen 600 (see FIG. 14) to an investor who wants to place a purchase / sale order of financial products, and to input more appropriate notification conditions. Input assistance can be realized.

  Further, when displaying the external factor as the notification condition item on the notification condition input screen 600 (see FIG. 14), the notification condition reception processing means 26 starts from the external factor corresponding to the regression coefficient having a large absolute value of t value. Investors can see the magnitude of correlation by looking at the display order, and input notification conditions that emphasize the conditions related to external factors with greater correlation. In addition, if the notification conditions are input with emphasis on the conditions related to external factors having high correlation, the position of the external factors to be adopted (external factors for inputting the conditions) will be displayed as a notification condition input screen. Since it is expected not to be greatly dispersed on 600, the input operation becomes easy, and the usability of the system for investors can be improved.

  Further, since the order system 10 includes the condition item setting reception processing means 23 and the condition item setting database 34 (see FIG. 6), the notification condition reception processing means 26 notifies on the notification condition input screen 600 (see FIG. 14). When displaying external factors as condition items, it is possible to display external factors having the number of items not exceeding the maximum display number stored in the condition item setting database 34. For this reason, it is possible to simplify the display of the notification condition input screen 600, to facilitate the determination and work when the notification condition is input by the investor, and to improve convenience.

Then, the notification condition reception processing means 26 takes into account the case where the value of the determination coefficient R ² or the degree-of-freedom-corrected determination coefficient R _f ² is small, and the notification condition item on the notification condition input screen 600 (see FIG. 14). When the regression equation is not well-applied, that is, when the reliability of the correlation between each stock obtained as a result of the analysis and the external factor is not high, It is possible to perform a correction process in which all types of external factors are displayed on the notification condition input screen 600 as notification condition items. For this reason, although it is actually an external factor having a high correlation with the notification target brand, it is possible to prevent a situation in which an external factor that is not displayed as a notification condition item on the notification condition input screen 600 occurs.

  Further, the notification condition reception processing means 26 is configured to receive a combination of notification conditions configured by using AND or OR, so that it reflects the investor's various investment ideas and complex investment ideas. The notification condition input setting can be realized, and the convenience for investors can be further improved.

  Furthermore, since the order system 10 includes the condition item setting reception processing means 23, an investor adds or deletes in advance an external factor displayed as a notification condition item on the notification condition input screen 600 (see FIG. 14). Then, it can be registered in the correlation database 33 (see FIG. 5). For this reason, when the investor inputs the notification condition, the investor can input the condition related to the external factor intended by the investor to configure the notification condition, and input the notification condition in accordance with the investor's intention. In addition to being able to be realized, external factors displayed on the notification condition input screen 600 can be added or deleted in advance. Therefore, when repeating input of notification conditions for the same brand, etc. There is no need to make corrections on the notification condition input screen 600, and the labor of the investor can be reduced.

  Since the order system 10 includes the regression equation database 32 (see FIG. 4), the notification condition reception processing unit 26 uses the regression coefficient that constitutes the regression equation stored in the regression equation database 32. It is possible to calculate and display the amount of change and rate of change of external factor data as explanatory variables corresponding to the amount of change and rate of change in stock price data (price data) of the notification target brand as an objective variable (see FIG. 13). . For this reason, the investor can obtain reference information when inputting conditions relating to external factors, so that the convenience of the investor can be further improved. Input settings can be made.

  Further, since the analysis processing means 22 is configured to periodically perform regression analysis, for example, due to various factors such as changes in market interest or changes in the company's handling field, each brand and external factors However, even in such a situation, the regression analysis using the latest data can be used to reflect the latest situation and reflect the correlation of external factors. Identification can be done.

  Note that the present invention is not limited to the above-described embodiment, and modifications and the like within a scope where the object of the present invention can be achieved are included in the present invention.

  For example, in the embodiment, stock orders are dealt with, but the present invention can be widely applied to orders for securities other than stocks or financial products other than securities.

  As described above, the order system, the order processing method, and the program of the present invention are suitable for use, for example, when accepting a trading order for securities such as stocks.

DESCRIPTION OF SYMBOLS 1 Network 2 Communication line 10 Order system 22 Analysis processing means 23 Condition item setting reception processing means 24 Conditional order reception processing means 25 Order condition success / failure judgment processing means 26 Notification condition acceptance processing means 27 Notification condition success / failure judgment processing means 28 Notification target brand Order acceptance processing means 29 Order processing means 30 Stock price database 31 which is a price database 31 External factor database 32 Regression database 33 Correlation database 34 Condition item setting database 35 Order database 36 Notification condition database 50 Securities transaction which is a transaction market system for financial products System

Claims (3)

An order system configured by a computer that executes a process of receiving a purchase order for a financial product,
Each brand of financial product is used as a target variable with multiple past values of price data of financial products stored in the price database, and as an explanatory variable with multiple past values of external factor data stored in the external factor database. Regression analysis is performed every time, and the price of the financial product is calculated using the t value of the regression coefficient of the external factor data obtained as a result of the regression analysis and / or the determination coefficient R ² or the freedom coefficient corrected determination coefficient R _f ^2. An analysis processing means for executing processing for identifying each factor of an external factor correlated with
A correlation database for storing external factor identification information for the external factor specified by the analysis processing means in association with brand identification information for each brand; and
A regression equation database that stores all regression coefficients constituting a regression equation obtained by regression analysis by the analysis processing means in association with the brand identification information;
Receiving the brand identification information about the ordered brand transmitted from the investor terminal device via the network, obtaining the external factor identification information corresponding to the received brand identification information from the correlation database, and obtaining the obtained Order screen display data having an external factor in the external factor identification information as an order condition item is transmitted to the investor terminal device via the network, and transmitted from the investor terminal device via the network. Conditional order reception processing means for executing processing for receiving order data including the order identification conditions including the order identification information about the order issues, and the order conditions configured to include the conditions relating to the external factors;
An order database for storing the order data received by the conditional order reception processing means in association with investor identification information for an investor who has entered an order;
Using the current value of the external factor data stored in said external factor database, order condition that includes a condition relating to the external factors included in said stored ordered data into the order database to determine whether the established Order condition success / failure judgment processing means for repeatedly executing the process;
When it is determined by the order condition success / failure determination processing means that the order condition is satisfied, the order data created using the order data stored in the order database is sent to a financial instrument transaction market system via a communication line. Order processing means for executing processing to be transmitted ,
The conditional order reception processing means includes:
Obtaining the regression coefficient corresponding to the brand identification information for the order brand from the regression equation database, and using the obtained regression coefficient and the external factor data stored in the external factor database, the order brand as an objective variable Calculate the rate or amount of change in external factor data as an explanatory variable when the price data of the product changes by a certain rate or amount, or the rate or amount specified by the investor. An order system characterized by executing processing for displaying a ratio or amount on the order screen or its associated screen . An order system configured by a computer that executes a process of receiving a purchase order for a financial product,
Each brand of financial product is used as a target variable with multiple past values of price data of financial products stored in the price database, and as an explanatory variable with multiple past values of external factor data stored in the external factor database. Regression analysis is performed every time, and the price of the financial product is calculated using the t value of the regression coefficient of the external factor data obtained as a result of the regression analysis and / or the determination coefficient R ² or the freedom coefficient corrected determination coefficient R _f ^2. An analysis processing means for executing processing for identifying each factor of an external factor correlated with
A correlation database for storing external factor identification information for the external factor specified by the analysis processing means in association with brand identification information for each brand; and
A regression equation database that stores all regression coefficients constituting a regression equation obtained by regression analysis by the analysis processing means in association with the brand identification information;
Receiving the brand identification information about the reporting brand transmitted from the investor terminal device via the network, acquiring external factor identification information corresponding to the received brand identification information from the correlation database, and acquiring the acquired The display data of the notification condition input screen having the external factor of the external factor identification information as the notification condition item is transmitted to the investor terminal device via the network, and transmitted from the investor terminal device via the network. A notification condition reception processing means for executing a process for receiving notification conditions data including the notification condition data including the notification conditions including the condition identification information about the notification target brand, and the notification conditions configured to include the condition relating to the external factor coming;
A notification condition database for storing the notification condition data received by the notification condition reception processing means in association with investor identification information for an investor who has input the notification condition;
Using the current value of the external factor data stored in said external factor database, whether the notification condition is satisfied including a condition relating to the external factors included in said stored notification condition data in the notification condition database Notification condition success / failure determination processing means for repeatedly executing the determination processing;
When the notification condition success / failure determination processing means determines that the notification condition is satisfied, display data for an order screen that uses the notification target issue for which the notification condition is satisfied as an order issue is sent via the network to the investor. A notification target brand order acceptance processing means for executing processing for receiving order data including brand identification information about the order brand transmitted to the terminal device and transmitted from the investor terminal device via the network;
An order database for storing the order data received by the reporting brand order receiving processing means in association with the investor identification information for the investor who entered the order;
Order processing means for executing processing for transmitting order data created using the order data stored in the order database to a transaction market system for financial products via a communication line ;
The notification condition reception processing means includes
The regression coefficient corresponding to the brand identification information about the brand to be notified is acquired from the regression equation database, and using the acquired regression coefficient and external factor data stored in the external factor database, notification as a target variable Calculate the percentage or amount of change in external factor data as explanatory variables when the price data of the subject stock changes by a certain proportion or amount, or the proportion or amount specified by the investor. An order system comprising: a process for displaying a rate or amount of change on the notification condition input screen or its associated screen . As ordering system according to claim 1 or 2, a program for causing a computer to function.

Images