KR20240051453A - Operation method of server for generating customized parameter and program code for individual stock, computer program thereof, and method for providing stock trading information - Google Patents

Abstract

A method of operating a server that generates customized parameters and program codes for each stock item is disclosed. The method of operating the server is to create a pair of customized parameters and program code for each stock item and stock item characteristics for each stock item and store them in a database, then program the program already stored in the database without editing a separate program code for the target stock item. Among the codes, a program code that matches stock item characteristics that are virtually similar to the target stock characteristics of the target stock item is searched, and the searched program code and parameter pair is used as a program code and parameter pair of the target stock item.

Description

A method of operating a server that generates customized parameters and program codes for each stock item, a computer program, and a method of providing stock trading information using the same STOCK TRADING INFORMATION}

The present invention relates to a technology for generating customized parameters and program codes for each stock item, and in particular, a method of operating a server that generates customized parameters and program codes for each stock item in real time for system trading, a computer program, and a method using the same. This is about how to provide stock trading information.

The process of implementing the system trading algorithm by the developer of the system trading algorithm tailored to the price fluctuation characteristics of each individual stock item is (1) designing the system trading algorithm, (2) implementing the system trading algorithm, (3) verifying the performance of the system trading algorithm, (4) It includes the processes of tuning the parameters of the system trading algorithm and (5) modifying the system trading algorithm. If these processes are performed repeatedly, it takes several days or weeks until the system trading algorithm is implemented.

In addition, in order to modify the system trading algorithm applied to individual stock items to suit the current status of the investment market, or to apply a new system trading algorithm instead of the system trading algorithm to the individual stock items, the new system trading algorithm is used as described above. Five processes are needed to implement.

Various system trading algorithms are being researched and tested through industry and academia, and the various system trading algorithms can be integrated into a database. However, the various system trading algorithms can be adjusted according to individual stock items and stock market conditions. Through the manual process, it is impossible to create a large number of investment algorithms for each individual stock, replace the investment algorithm for each individual stock according to the investment market conditions, or automatically optimize the parameters of the investment model for each individual stock.

Registered Patent Gazette: Registration No. 10-2105744 (announced on May 29, 2020) Public Patent Publication: Publication No. 10-2021-0035622 (published on April 1, 2021)

The technical problem to be achieved by the present invention is to create a pair of customized parameters and program codes for each stock item and store them in a database, then select the program codes already stored in the database without editing a separate program code for the target stock item. A method of operating a server that searches for a program code matched to a stock item characteristic that is virtually similar to the target stock characteristic of the target stock item, and uses the searched program code as a program code of the target stock item, and a computer program capable of performing the same , and a method of providing stock trading information using the server.

According to an embodiment of the present invention, a method of operating a server that generates customized parameters and program codes for each stock item involves the server applying a first parameter related to virtual trading of the first stock item to the first program code executed therein. Analyzing first stock information for a specific period for the first stock item to calculate a first rate of return and a first loss rate, and the server using the first program code to calculate the first rate of return and the first standard Comparing values and comparing the first loss rate and the second reference value, and when the first rate of return is equal to or greater than the first reference value and the first loss rate is equal to or less than the second reference value, the server storing a first pair of the first parameter and the first program code in a database; the server analyzing the first stock information to generate a first stock item characteristic for the first stock information; , Generating customized parameters and program code for each stock item, including the step of matching the first stock item characteristics to the first pair and storing them in the database.

According to an embodiment of the present invention, a computer program stored in a storage medium of a server that includes a program editor and a feature analysis program and generates customized parameters and program codes for each stock item includes a first program code edited by the program editor. Applying the first parameter related to virtual trading of one stock item to the first program code to analyze the first stock information for a specific period for the first stock item to calculate the first rate of return and first loss rate; , the first program code comparing the first rate of return and the first reference value and comparing the first loss rate and the second reference value, and the first rate of return is equal to or greater than the first reference value and the first reference value. 1 When the loss rate is equal to or smaller than the second reference value, the first program code stores the first pair of the first parameter and the first program code in a database, and the feature analysis program stores the first pair of the first program code. Analyzing stock information, generating first stock item characteristics for the first stock information, matching the first stock item characteristics to the first pair, and storing them in the database.

According to an embodiment of the present invention, a method of providing stock trading information using a user computer and a server running a computer program that generates customized parameters and program codes for each stock item is edited by the server using a program editor included in the computer program. Applying the first parameter related to the virtual trading of the first stock item to the first program code and analyzing the first stock information for a specific period for the first stock item to calculate the first rate of return and first loss rate. and the server comparing the first rate of return and a first reference value using the first program code and comparing the first loss rate and a second reference value, and the first rate of return is the first reference value. When the first loss rate is equal to or smaller than the second reference value, the server uses the first program code to store the first pair of the first parameter and the first program code in the database. Step, the server analyzes the first stock information using a feature analysis program included in the computer program to generate a first stock item characteristic for the first stock information, and the first stock item characteristic is It includes matching a first pair and storing it in the database.

The operating method of the server according to an embodiment of the present invention and the computer program that performs the operating method generate pairs of customized parameters and program codes for each stock item and stock item characteristics for each stock item, store them in a database, and then store them in a database. Without editing a separate program code, search for program codes that match stock item characteristics that are virtually similar to the target stock characteristics of the target stock item among program codes already stored in the database, and pair the searched program code with parameters. It has the effect of being able to be used as a pair between the program code and parameters of the target stock item.

In order to more fully understand the drawings cited in the detailed description of the present invention, a detailed description of each drawing is provided.
Figure 1 is a block diagram of a stock information providing system including a server that generates customized program code for each stock item in real time according to an embodiment of the present invention.
FIG. 2 is a block diagram of a computer program that automatically generates customized program code for each stock item running on the processor of the server shown in FIG. 1.
Figure 3 is an example of stock information on stock items.
FIG. 4 is a flow chart explaining the operation of the program editor shown in FIG. 2.
FIG. 5 is a graph explaining how the loss rate is calculated by the program editor shown in FIG. 2.
Figure 6 is an example of a database in which pairs of parameters and program codes generated by the computer program shown in Figure 2 for target stock items are stored.
FIG. 7 is another embodiment of a database in which pairs of parameters and program codes generated by the computer program shown in FIG. 2 for target stock items are stored.
FIG. 8 is a data flow for explaining the operation of the stock information providing system shown in FIG. 1.

Figure 1 is a block diagram of a stock information providing system including a server that generates customized program code for each stock item in real time according to an embodiment of the present invention.

Referring to FIG. 1, a stock information providing system (also referred to as an investment strategy providing system 100) includes a plurality of user computers (200-1 to 200_n, n is a natural number of 3 or more) and a server 300.

The stock information provision system 100 is a program code that can generate stock trading information (this is also called investment strategy information; e.g., purchase time and sell time, etc., INFO) for the target stock item (NSI) in real time. is generated in real time, and a user computer (for example, , 200_1), stock trading information (INFO) can be provided in real time.

The server (or server device, 300) uses the computer program 325 included therein to generate already created program codes (program codes (CODE_1 to CODE_i, i is a natural number) stored in the database 360 of FIG. 2). Any one of them can be selected as the program code for the target stock item (NSI).

A stock item is a stock item that is classified separately for each company or company, and is identified by the name of the stock or a code assigned to the stock item, and is also called a ticker. Domestic stock items are made up of numbers, Overseas stock items are displayed in English.

Server 300 includes a communication device 310, a processor 320, and a database 360.

The server 300 may exchange information (for example, including target stock items and corresponding stock trading information) with each user computer 200-1 to 200_n through the communication device 310. Communication device 310 may be a wired communication device or a wireless communication device. A wired communication device is a communication device that can access the wired Internet, and a wireless communication device is a communication device that can access the wireless Internet or WIFI network.

The processor 320 executes the computer program 325 installed therein, and the executed computer program 325 may perform functions (or operations) that will be described with reference to FIGS. 2 to 8.

The database 360 is an example of a data storage device, and provides information to be described with reference to FIGS. 2, 4, 5, 6, and 7 under the control of the computer program 325 running on the processor 320. (This is also called 'data') can be stored or the information stored therein can be transmitted to a computer program 325.

Although the database 360 is shown inside the server 300 in FIG. 1, according to embodiments, the database 360 is placed outside the server 300, and the database 360 placed outside is operated by a computer. Information can be stored under the control of the program 325 or the information stored therein can be transmitted to the computer program 325.

A computer program 325, which can be combined with hardware (e.g., 300, 320, or 360) to generate stock symbol-specific (or target stock symbol-specific) pairs of parameters and program code, may be stored in a data storage medium such as a memory device (or may be stored in a data recording medium) and executed by the processor 320.

FIG. 2 is a block diagram of a computer program that automatically generates customized program code for each stock item running on the processor of the server shown in FIG. 1.

In FIG. 2 , for convenience of explanation, each of the components 330, 340, 350, and 355 is shown and described in a form and name that are functionally and/or structurally separate from each other, but according to embodiments, the components 330, 340, 350, and 355) may each be part of one computer program 325.

The computer program 325 includes a program editor 330, a feature analysis program 340, a feature matching program 350, and a matching program 355.

The program editor 330, also called a source code editor, is a program designed by a programmer to edit the source code of a computer program (also referred to as 'program code').

Depending on the embodiment, the program editor 330 may be an independent application or may be integrated into an integrated development environment (IDE) or a web browser. Despite its name, the program editor 330 is a programming tool that can generate program codes for each stock item, and a programmer can use the program editor 330 to write program codes and edit the program codes. The program editor 330 receives the first reference value (REF_MAX) and the second reference value (REF_MIN).

The program editor 330 performs a reception function 331, a program code editing function 333, a parameter change function 335, a comparison function 337, and an output function 339. Each function (331, 333, 335, 337, and 339) is performed by the corresponding program code included in the program editor (330).

The receiving function 331 includes a function for receiving stock information (SS_i, i is a natural number) for each stock item, a function for receiving parameters (PARA_s) and program code (CODE_s) output from the feature matching program 350, and a matching program. It performs the function of receiving target stock information (SNEW) transmitted from (355).

Stock information (SS_i) means daily bar, weekly bar, monthly bar, and annual salary, and the daily bar includes the opening price, high price, low price, and closing price. For example, stock information (SS_i) refers to a set of daily bars for a specific period (eg, 1 year). In this specification, the specific period is assumed to be 1 year, but depending on the embodiment, the specific period may be changed to 6 months, 2 years, or 3 years.

Figure 3 is an example of stock information on stock items. Referring to FIG. 3, stock information (SS_i) for each stock item includes daily price (for example, including opening price, high price, low price, and closing price) and trading volume for each stock item.

The administrator can edit program codes (for example, dedicated program codes) for each stock item using the program code editing function 333.

The parameter change function 335 performs a function of automatically (or programmatically) changing (for example, including increasing or decreasing a specific number) the parameters of the program code generated using the program code editing function 333. do. Depending on the embodiment, parameters may be changed in units of a set period (eg, 1 year).

For example, when the results of analyzing daily bars for one year using a specific parameter do not satisfy the selection conditions (NO in S170 of FIG. 4), the specific parameter is used to re-analyze the daily bars for one year. changes.

The comparison function 337 compares the first value calculated by the program code generated using the program code editing function 333 and the first reference value (REF_MAX), and the second value calculated by the program code. Performs the function of comparing the value with the second reference value (REF_MIN). For example, assume that the first value is the return rate for one year and the second value is the loss rate for one year.

The output function 339 outputs a parameter (PARA_i) and a program code (CODE_i) that satisfy the selection conditions according to the results compared by the comparison function 337, that is, when the selection conditions are satisfied (YES in S170 of FIG. 4). ) performs the function of transmitting (or storing) the pair to the database 360.

FIG. 4 is a flow chart explaining the operation of the program editor shown in FIG. 2.

Referring to FIGS. 1 to 4, the program editor 330 uses the reception function 331 to receive first stock information (SS_i, i=1) for the first stock item (e.g., ABC Corporation). Receive (S110). For example, the first stock information (SS_1) may be daily bars for one year (or daily bars each including daily trading volume).

The manager uses the program code editing function 333 to edit the first program code (CODE_i, i=1) that can receive parameters to analyze the first stock information (SS_1) for the first stock item. (This is also called ‘creation’).

The program editor 330 sets parameters included in the first program code (CODE_1) using the parameter change function 335 (S115). Here, the parameters (also referred to as stock trading parameters) include purchase parameters corresponding to conditions for purchasing stock items, and selling parameters for selling purchased stock items.

The first program code (CODE_1) edited by the program editor 330 satisfies the stock purchase condition when the 5-day moving average line exceeds the 20-day moving average line (for example, when it is a golden cross). (S120), and when the 5-day moving average line crosses below the 20-day moving average line (for example, when it is a dead cross), it is determined that the stock selling condition has been satisfied (S130).

At this time, '5' and '20' for determining the stock purchase conditions for the first stock item are purchase parameters (e.g., values related to the golden cross), and for determining the stock selling conditions for the first stock item. '5' and '20' are selling parameters (e.g., values related to dead cross). For example, a number indicating how many shares to buy when purchasing stocks for the first stock item is included in the purchase parameter, and a number indicating how many shares to sell when selling stocks for the first stock item is included in the sell parameter. do.

The moving average line (= sum of the closing prices of the set period/set period) is an extension line that displays the moving average value on the chart based on the closing price calculated every day, and is a line connecting the average stock prices over a certain period of time. Therefore, the 5-day moving average line is a line that calculates the average price of stock prices over 5 days, and the 20-day moving average line is a line that calculates the average price of stock prices over 20 days.

The buy parameter is set to virtually buy 100 shares and compare the 5-day moving average line and the 20-day moving average line, and the sell parameter is set to hypothetically sell the 100 stocks that were purchased virtually and compare the 5-day moving average line and the 20-day moving average line. Assume that it is set to compare average lines (S115).

As described above, the parameters including the buy parameter and the sell parameter use a parameter change function (335) to re-analyze the daily bars for one year when the results of analyzing the daily bars for one year do not satisfy the step (S170). ) is automatically (or programmatically) changed (S115).

In addition, when the results of re-analyzing the daily bars for one year do not satisfy step (S170), the parameters that have been changed for re-analyzing the daily bars for one year are automatically (or programmatically) changed by the parameter change function 335. ) again (S115).

The first program code (CODE_1) is one of the daily bars (e.g., daily bars for one year) included in the first stock information (SS_1) for the first stock item that is sequentially input as illustrated in FIG. It is determined whether the stock purchase condition is satisfied using the daily bars of the first group and the purchase parameters (e.g., '5' and '20' set in step S115) (S120).

When the stock purchase conditions are met (YES in S120). The first program code (CODE_1) virtually purchases 100 shares of the first stock item (S125).

Thereafter, the first program code (CODE_1) is input daily bars (e.g., daily bars for one year) included in the first stock information (SS_1) for the first stock item sequentially input as illustrated in FIG. ), it is determined whether the stock selling conditions are satisfied using the daily bars of the second group and the selling parameters (e.g., '5' and '20' set in step (S115) (S130).

When the conditions for selling the stock are met (YES in S130). The first program code (CODE_1) virtually sells 100 shares of the first stock item virtually purchased in step S125 (S135).

The first program code (CODE_1) calculates the first difference by subtracting the total price of virtual purchase of 100 shares of the first stock item from the total price of virtual selling of 100 shares of the first stock item (S140), and the calculated first difference Based on , the first rate of return (e.g., a value expressed as a percentage of the ratio of the first difference and the total virtual purchase price) is calculated (S145). At this time, the first rate of return may be a positive value or a negative value.

The first program code (CODE_1) calculates the first average rate of return based on the first rate of return (S150), and calculates the first cumulative rate of return by accumulating the first rate of return simultaneously or in parallel (S160). The first program code (CODE_1) calculates the first loss rate based on the first accumulated rate of return (S165).

For example, when the first cumulative rate of return is a positive value, the first program code (CODE_1) outputs zero as the first loss rate, and when the first cumulative rate of return is a negative value, the first program code (CODE_1) outputs zero as the first loss rate. Outputs the first cumulative rate of return with the negative value as the first loss rate (S165).

In this specification, the average rate of return may be a geometric average rate of return or an arithmetic average rate of return, but is not limited thereto.

The first program code (CODE_1) compares the first average rate of return and the first reference value (REF_MAX) and the first loss rate and the second reference value (REF_MIN) (S180).

When the first average return is less than the first reference value (REF_MAX) and the first loss rate is greater than the second reference value (REF_MIN) (NO in S170), that is, when the selection conditions are not satisfied (NO in S170), the first The first program code (CODE_1), which has completed the virtual stock transaction, performs step S115 again for the second virtual stock transaction.

The first program code (CODE_1) is the daily bars of the third group and the purchase parameters (5 and 20) among the daily bars included in the first stock information (SS_1) for the first stock item shown in FIG. 3, which is sequentially input. Use to determine whether the stock purchase conditions have been satisfied (S120).

When the stock purchase conditions are met (YES in S120). The first program code (CODE_1) virtually purchases 100 shares of the first stock item again (S125).

Afterwards, the first program code (CODE_1) is used to input daily bars of the fourth group and sell parameters (5 and 20) is used to determine whether the stock selling conditions are satisfied (S130).

When the stock sale conditions are satisfied (YES in S130), the first program code (CODE_1) virtually sells 100 shares of the first stock item that were virtually purchased in step S125 (S135).

The first program code (CODE_1) calculates the second difference by subtracting the total price of virtual purchase of 100 shares of the first stock item from the total price of virtual selling of 100 shares of the first stock item (S140), and the calculated second difference Based on this, the second rate of return (e.g., a value expressed as a percentage of the ratio of the second difference and the total virtual purchase price) is calculated (S145). The first program code (CODE_1) calculates the second average rate of return using the first rate of return and the second rate of return (S150).

The first program code (CODE_1) calculates the second cumulative rate of return by accumulating the second rate of return to the first rate of return (S160), and calculates the second loss rate based on the second cumulative rate of return (S165). For example, when the second accumulated rate of return is a positive value, the first program code (CODE_1) outputs zero as the second loss rate, and when the second accumulated rate of return is a negative value, the first program code (CODE_1) outputs zero as the second loss rate. Outputs the second accumulated rate of return with the negative value as the second loss rate (S165).

The first program code (CODE_1) compares the second average rate of return and the first reference value (REF_MAX) and the second loss rate and the second reference value (REF_MIN) (S180).

When the second average return is less than the first standard value (REF_MAX) and the second loss rate is greater than the second standard value (REF_MIN) (NO in S170), that is, when the selection conditions are not satisfied (NO in S170), third The first program code (CODE_1), which has completed the virtual stock transaction, performs step S115 again for the third virtual stock transaction.

The first program code (CODE_1) is the daily bars of the 5th group and the purchase parameters (5 and 20) among the daily bars included in the first stock information (SS_1) for the first stock item shown in FIG. 3, which is sequentially input. Use to determine whether the stock purchase conditions have been satisfied (S120).

When the stock purchase conditions are met (YES in S120). The first program code (CODE_1) virtually purchases 100 shares of the first stock item again (S125).

Afterwards, the first program code (CODE_1) is used to input daily bars of the 6th group and sell parameters (5 and 20) is used to determine whether the stock selling conditions are satisfied (S130).

When the conditions for selling the stock are met (YES in S130). The first program code (CODE_1) virtually sells 100 shares of the first stock item virtually purchased in step S125 (S135).

The first program code (CODE_1) calculates the third difference by subtracting the total price of virtual purchase of 100 shares of the first stock item from the total price of virtual selling of 100 shares of the first stock item (S140), and the calculated third difference Based on this, the third rate of return (e.g., a value expressed as a percentage of the ratio of the third difference and the total virtual purchase price) is calculated (S145).

The first program code (CODE_1) calculates the third average rate of return based on the first rate of return, the second rate of return, and the third rate of return (S150), and simultaneously or in parallel, calculates the first rate of return, the second rate of return, and the third rate of return. 3 Calculate the third cumulative rate of return by accumulating the rate of return (S160). The first program code (CODE_1) calculates the third loss rate based on the third cumulative rate of return (S165).

The first program code (CODE_1) compares the third average rate of return and the first reference value (REF_MAX) and the third loss rate and the second reference value (REF_MIN) (S180).

When the third average rate of return is less than the first reference value (REF_MAX) and the third loss rate is greater than the second reference value (REF_MIN) (NO in S170), the first program code (CODE_1) performs step (S115) again. .

According to the method described above, it is assumed that the first program code (CODE_1) further performs from the fourth virtual stock trade to the tenth virtual stock trade based on daily prices for the first stock item for one year.

The operations of the first program code (CODE_1) that performs each of the third to tenth virtual stock transactions are the first program code (CODE_1) that performs each of the first virtual stock transaction, the second virtual stock transaction, and the third virtual stock transaction described above. Since it is the same or similar to the operations of 1 program code (CODE_1), detailed description thereof will be omitted.

Through the tenth virtual stock trading, the first program code (CODE_1) calculates the tenth average rate of return using the first to tenth rate of return (S150), and simultaneously or in parallel calculates the first to tenth rate of return. Cumulatively calculate the 10th cumulative rate of return (S160). The first program code (CODE_1) calculates the 10th loss rate based on the 10th cumulative rate of return (S165).

The first program code (CODE_1) compares the 10th average rate of return and the first reference value (REF_MAX) and the 10th loss rate and the second reference value (REF_MIN) (S180).

When the 10th average rate of return is greater than or equal to the first reference value (REF_MAX) and the 10th loss rate is greater than or equal to the second reference value (REF_MIN) (YES in S170), that is, when the selection conditions are satisfied (YES in S170 ), the first program code (CODE_1) stores the pair of parameters (5 and 20) and the first program code (CODE_1) in the database 360 (S180).

However, when the 10th average rate of return is less than the first reference value (REF_MAX) and the 10th loss rate is greater than the second reference value (REF_MIN) (NO in S170), that is, when the selection conditions are not satisfied (NO in S170), The first program code (CODE_1) performs step S115.

Before step S115 is performed, the first program code CODE_1 changes at least one of the buy parameters 5 and 20 set in the first program code CODE_1, and the sell parameter set in the first program code CODE_1. Change at least one of 5 and 20 (S115).

Afterwards, the first program code (CODE_1) determines whether the stock purchase conditions are satisfied using the changed purchase parameters and the one-year daily peaks included in the first stock information (SS_1), and uses the changed sell parameters and the first stock information (SS_1) to determine whether the stock purchase conditions are satisfied. Using the one-year daily prices included in SS_1), determine whether the stock selling conditions are satisfied (S130).

For example, assuming that 20 of the buy parameters 5 and 20 is changed to 60, and that 20 of the sell parameters 5 and 20 is changed to 60, the first program code (CODE_1) moves the 5-day moving average line by 60 days. When the average line breaks upward, it is determined that the stock purchase condition has been satisfied (S120), and when the 5-day moving average line crosses the 60-day moving average downward, it is determined that the stock selling condition has been satisfied (S130).

After at least one of the buy parameters 5 and 20 is changed and at least one of the sell parameters 5 and 20 is changed (S115), the first program code CODE_1 performs steps S120 to S180.

FIG. 5 is a graph explaining how the loss rate is calculated by the program editor shown in FIG. 2.

Referring to FIG. 5, the first program code (CODE_1) calculates the cumulative rate of return (AR1 to AR10) every time virtual stock trading (NUM1 to NUM10) is performed (S160).

When 10 virtual stock transactions were performed for the first stock item, the first program code (CODE_1) is the difference (D1) between the second accumulated return (AR2) and the third accumulated return (AR3), and the fourth accumulated return (AR4) ) and the difference (D2) between the fifth cumulative rate of return (AR5), and the difference (D3) between the sixth cumulative rate of return (AR6) and the seventh cumulative rate of return (AR7), and calculate the differences (D1, D2, and D3) Among them, the largest value (D3) is calculated as the final loss rate of the first stock item (165).

Therefore, when the 10th average rate of return is greater than or equal to the first reference value (REF_MAX) and the 10th loss rate (D3) is greater than or equal to the second reference value (REF_MIN) (YES in S170), that is, the selection conditions are satisfied. When (YES in S170), the computer program 325 selects the parameter set or changed in step S115 as the first parameter (PARA_1), and the pair of the first parameter (PARA_1) and the first program code (CODE_1) is stored in the database 360 (S180).

The administrator can use the program code editing function 333 to receive parameters to analyze the second stock information (SS_i, i=2) for the second stock item (e.g., DEF Corporation). Edit the second program code (CODE_i, i=2).

When the selection conditions are satisfied (YES in S170), the computer program 325 selects the parameter set or changed in step S115 as the first parameter (PARA_1), and executes the first parameter (PARA_1) and the first program code ( Identical to or similar to the method of storing the pair of CODE_1) in the database 360, the second program code (CODE_2) edited by the program code editing function 333 is the second stock information (SS_2) for the second stock item. ) and the parameters set in the second program code (CODE_2) to determine whether the selection conditions are satisfied (YES in S170), and when the selection conditions are satisfied (YES in S170), the computer program 325 performs step (S115) The parameter set or changed in is selected as the second parameter (PARA_2), and the pair of the second parameter (PARA_2) and the second program code (CODE_2) is stored in the database 360.

The administrator can use the program code editing function 333 to receive parameters to analyze third stock information (SS_i, i=3) for a third stock item (e.g., GHI Corporation). Edit the third program code (CODE_i, i=3).

When the selection conditions are satisfied (YES in S170), the computer program 325 selects the parameter set or changed in step S115 as the first parameter (PARA_1), and executes the first parameter (PARA_1) and the first program code ( Identical to or similar to the method of storing the pair of CODE_1) in the database 360, the third program code (CODE_3) edited by the program code editing function 333 is the third stock information (SS_3) for the third stock item. ) and the parameters set in the third program code (CODE_3) to determine whether the selection conditions are satisfied (YES in S170), and when the selection conditions are satisfied (YES in S170), the computer program 325 performs step (S115) The parameter set or changed in is selected as the third parameter (PARA_3), and the pair of the third parameter (PARA_3) and the third program code (CODE_3) is stored in the database 360.

The administrator may use the program code editing function 333 to receive parameters to analyze the i-th stock information (SS_i) for the i-th stock item (e.g., XYZ Stock Company). Edit the i-th program code (CODE_i).

When the selection conditions are satisfied (YES in S170), the computer program 325 selects the parameter set or changed in step S115 as the first parameter (PARA_1), and executes the first parameter (PARA_1) and the first program code ( Identical to or similar to the method of storing the pair of CODE_1) in the database 360, the i-th program code (CODE_i) edited by the program code editing function 333 is the i-th program code for the i-th stock item. Using the parameters set in the -th stock information (SS_i) and the i-th program code (CODE_i), determine whether the selection conditions are satisfied (YES in S170), and when the selection conditions are satisfied (YES in S170), the computer program (325) selects the parameter set or changed in step S115 as the i-th parameter (PARA_i), and stores the pair of the i-th parameter (PARA_i) and the i-th program code (CODE_i) in the database 360. ) to save it.

Referring to FIG. 2, the feature analysis program 340 operates simultaneously or in parallel with the program editor 330.

FIG. 8 is a data flow for explaining the operation of the stock information providing system shown in FIG. 1.

1 to 5 and 8, the feature analysis program 340 analyzes daily bars (e.g., daily bars for one year) included in the first stock information (SS_1) for the first stock item. is sequentially received, and the sequentially received daily bars are analyzed to generate the first stock item feature (FT_i, i=1) (S210), and the first stock item feature (FT_1) and the first program code (CODE_1) are generated. Match and store in the database 360 (S220).

That is, the first stock item characteristic (FT_1), the first parameter (PATA_1), and the first program code (CODE_1) stored in the database 360 match each other (S220).

For example, the feature analysis program 340 calculates a statistical value of the daily fluctuation rate (for example, the fluctuation rate based on the daily closing price) based on daily bars for one year.

As illustrated in FIG. 3, the feature analysis program 340 calculates the daily fluctuation rate (RC(1) to RC(n)) based on the daily bars included in the first stock information (SS_1) for the first stock item. Calculate the first stock item characteristic (FT_1) including variance and/or standard deviation (S210).

For example, the first fluctuation rate (RC(1)) is the lowering rate calculated using the closing price of 2021.01.02 (\1,530) and the closing price of 2021.01.03 (\1,190), and the second fluctuation rate (RC( 2)) is the rising rate calculated using the closing price on 2021.01.03 (\1,490) and the closing price on 2021.01.04 (\1,630), and the (n-1)th fluctuation rate (RC(n-1)) is the lowering rate calculated using the closing price on 2021.12.29 (\2,810) and the closing price on 2021.12.30 (\2,800), and the (n)th fluctuation rate (RC(n)) is the closing price on 2021.12.30. This is the percentage increase calculated using the closing price of (\2,800) and the closing price of December 31, 2021 (\3,200).

The feature analysis program 340 includes the variance and/or standard deviation of the daily fluctuation rates (RC(1) to RC(n)) based on the daily bars included in the first stock information (SS_1) for the first stock item. Calculate the first stock item characteristic (FT_1) (S210), match the first stock item characteristic (FT_1) and the first program code (CODE_1) and store it in the database 360 (S220). Specifically, the feature analysis program 340 analyzes each stock item feature (FT_2 to FT_i) including the variance and/or standard deviation of the daily fluctuation rate based on the daily peaks included in each stock information (SS_2 to SS_i) for each stock item. ) is calculated (S210), and each stock item feature (FT_2 to FT_i) is matched with each program code (CODE_2 to CODE_i) and stored in the database 360 (S220).

A method of selecting parameters and program codes related to target stock information (SNEW) for a target stock symbol (NSI) is described with reference to FIGS. 1, 2, and 8.

At this time, the manager does not directly edit the program code for analyzing the target stock information (SNEW) for the target stock item (NSI) using the program editor 330.

1, 2, and 8, when the first user inputs a target stock item (NSI) into the first user computer 200_1, the first user computer 200_1 enters the target stock item (NSI) It is transmitted to the server 300 through a communication network (S300). The target stock item (NSI) may be a stock item name or a code assigned to the stock item name.

The matching program 355 receives the target stock item (NSI) from the communication device 310 (S300), searches for target stock information (SNEW) corresponding to the target stock item (NSI) from the database 360, and retrieves the target stock item (NSI) from the database 360. Target stock information (SNEW) is transmitted to the program editor 330 and the feature analysis program 340 (S310). Target stock information (SNEW) includes daily bars and trading volume for one year, as described with reference to FIG. 3.

The feature analysis program 340 includes the variance and/or standard deviation of the daily fluctuation rate based on the one-year daily bars included in the target stock information (SNEW) (i.e., based on the closing price included in each daily bar). A target stock feature (FT_NEW) is created and the target stock feature (FT_NEW) is transmitted to the feature matching program 350 (S320).

The feature matching program 350 searches for the feature with the highest similarity to the target stock feature (FT_NEW) among the stock item features (FT_1 to FR_i) stored in the database 360 (S330).

For example, the feature matching program 350 searches for one feature by comparing each of the stock item features (FT_1 to FR_i) stored in the database 360 with the target stock feature (FT_NEW) (S330).

For example, assume that the target stock characteristics (FT_NEW) and the third stock item characteristics (FT_3) of the third stock item are most similar. For example, assume that the difference between the standard deviation (and/or variance) of the target stock feature (FT_NEW) and the standard deviation (and/or variance) of the third stock feature (FT_3) is the smallest (S330).

The feature matching program 350 stores the target stock feature (FT_NEW) in the database 360, selects the third stock feature (FT_3) having the most similar features to the target stock feature (FT_NEW) (S330), and A pair of the third parameter (PARA_3) and the third program code (CODE_3) matched to the third stock item characteristic (FT_3) is read from the database 360, and the third parameter (PARA_s=PARA_3) and the third program code ( The pair of CODE_s=CODE_3 is transmitted to the program editor 330 (S340).

Figure 6 is an example of a database in which pairs of parameters and program codes generated by the computer program shown in Figure 2 for target stock items are stored.

1 to 6 and 8, the program editor 330 uses the parameter change function 335 to change the parameters included in the third program code (CODE_s=CODE_3) to the third parameter (PARA_s= PARA_3) (S115).

The third program code (CODE_3) determines that the stock purchase condition is satisfied when the 5-day moving average line breaks upward over the 20-day moving average line (S120), and when the 5-day moving average line crosses downward the 20-day moving average line. It is determined that the stock selling conditions have been satisfied (S130). That is, the purchase parameter is set to the number of stock purchase shares (100), 5, and 20, and the sell parameter is set to the number of stock sale shares (100), 5, and 20 (S115).

The third program code (CODE_3) uses the 7th group daily bars and the 3rd parameter (PARA_3) among the daily bars for one year included in the target stock information (SNEW) for the target stock item (NSI) that is entered sequentially. It is then determined whether the stock purchase conditions have been satisfied (S120).

When the stock purchase conditions are met (YES in S120). The third program code (CODE_3) virtually purchases 100 shares of the target stock item (NSI) (S125).

Afterwards, the third program code (CODE_3) uses the daily bars of the 8th group and the third parameter (PARA_3) among the daily bars included in the target stock information (SNEW) for the target stock item (NSI) that is sequentially entered. Determine whether the stock selling conditions have been satisfied (S130).

When the conditions for selling the stock are met (YES in S130). The third program code (CODE_3) virtually sells 100 shares of the target stock item (NSI) virtually purchased in step (S125) (S135).

The third program code (CODE_3) calculates the first difference by subtracting the total price of virtual purchase of 100 shares of target stock item (NSI) from the total price of virtual sale of 100 shares of target stock item (NSI) (S140). Calculate the first rate of return based on the difference (S145).

The third program code (CODE_3) calculates the first average rate of return based on the first rate of return (S150) and calculates the first cumulative rate of return by accumulating the first rate of return simultaneously or in parallel (S160). The third program code (CODE_3) calculates the first loss rate based on the first accumulated rate of return (S165).

After the first stock virtual sale for the target stock item (NSI) is completed, the third program code (CODE_3) compares the first average return and the first reference value (REF_MAX) and compares the first loss rate and the second reference value (REF_MIN). Compare (S170).

When the selection conditions are not satisfied, the third program code (CODE_3) performs steps (S115 to S170) to perform a second stock virtual transaction for the target stock item (NSI).

After the second stock virtual sale for the target stock item (NSI) is completed, the third program code (CODE_3) compares the second average return and the first reference value (REF_MAX) and compares the second loss rate and the second reference value (REF_MIN). Compare (S170).

When the selection conditions are not satisfied, the third program code (CODE_3) performs steps (S115 to S170) to perform a third stock virtual transaction for the target stock item (NSI).

In the same or similar manner as the method of performing each of the first stock virtual trade, the second stock virtual trade, and the third stock virtual trade for the target stock item (NSI), the third program code (CODE_3) is configured to use the third parameter ( Using PARA_3), virtual stock trading is performed as many times as steps (S120 and S130) are satisfied, starting from the fourth virtual stock trading.

After the last stock virtual sale for the target stock item (NSI) is completed, the third program code (CODE_3) determines whether the selection conditions are satisfied (YES in S170 of FIG. 4 and S350 of FIG. 8), and the selection conditions are satisfied. When this happens (YES in S170 of FIG. 4 and S352 of FIG. 8), the computer program 325 stores the pair of the third parameter (PARA_3) and the third program code (CODE_3) in the database 360 (S352).

As shown in (b) of FIG. 6 (CASE1), the database 360 contains a target stock feature (FT_NEW), a third parameter (PARA_3), and a third program code (CODE_3) corresponding to the target stock item (NSI). ) are matched and stored (S352).

The database 360 in (a) of FIG. 6 stores each stock feature (FT_1 to FT_i), each parameter (PARA_1 to PARA_i), and each program code (CODE_1 to CODE_i) corresponding to each stock item.

The computer program 325 generates stock trading information (INFO) using a pair of the third parameter (PARA_3) and the third program code (CODE_3) matched to the target stock item (NSI), and generates stock trading information (INFO) is transmitted to the first user computer (200_1). Stock trading information (INFO) includes the buying and selling times of the target stock item (NSI).

As described with reference to FIGS. 1 to 5, the first program code (CODE_1) is the same as or similar to the steps (S115 and S180) of processing the first stock information (SS_1) for the first stock item. The third program code (CODE_3), which processed the third stock information (SS_3) for the three stock items, can process the target stock information (NSEW) for the target stock item (NSI).

FIG. 7 is another embodiment of a database in which pairs of parameters and program codes generated by the computer program shown in FIG. 2 for target stock items are stored.

Referring to FIGS. 1 to 5, 7, and 8, the values processed by the third program code (CODE_3) using the target stock information (SNEW) and the third parameter (PARA_3) (i.e., steps (S150) When the values of and S165) do not satisfy the selection conditions (NO in S170 of FIG. 4 and S354 of FIG. 8), the third program code (CODE_3) sets the third parameter (PARA_3) including a buy parameter and a sell parameter. ) (S115).

The third program code (CODE_3) performs steps S120 to S170 using the changed buy parameter and the changed sell parameter.

Whenever virtual stock trading is performed for the target stock item (NSI) using changed buy parameters and changed sell parameters, the third program code (CODE_3) determines whether the selection conditions are satisfied (S170).

When the selection conditions are satisfied (YES in S170 of FIG. 4 and S356 of FIG. 8), the computer program 325 selects the changed parameter as the new parameter (PARA_s') in step S115, and The pair of and third program code (CODE_3) is stored in the database 360.

As shown in (b) of FIG. 7 (CASE2), the database 360 contains target stock characteristics (FT_NEW), new parameters (PARA_s'), and third program code (CODE_3) of the target stock item (NSI). They are matched and stored (S356).

The database 360 in (a) of FIG. 7 stores each stock feature (FT_1 to FT_i), each parameter (PARA_1 to PARA_i), and each program code (CODE_1 to CODE_i) corresponding to each stock item.

The computer program 325 according to an embodiment of the present invention does not edit a separate program code for the target stock item (NSI), but target stock characteristics (CODE_1 to CODE_i) among the program codes (CODE_1 to CODE_i) already stored in the database 360. FT_NEW), a program code having virtually similar stock item characteristics can be searched, and the searched program code can be used as the program code of the target stock item (NSI).

The computer program 325 generates stock trading information (INFO) using a pair of new parameters (PARA_s') and a third program code (CODE_3) matched to the target stock item (NSI) and stores the stock trading information (INFO). It is transmitted to the first user computer 200_1 through the matching program 355 and the communication device 310.

The present invention has been described with reference to the embodiments shown in the drawings, but these are merely illustrative, and those skilled in the art will understand that various modifications and other equivalent embodiments are possible therefrom. Therefore, the true scope of technical protection of the present invention should be determined by the technical spirit of the attached registration claims.

100: Stock information provision system
200_1~200_n: User computer
300: server
310: communication device
320: processor
325: Computer program
330: Program editor
340: Feature analysis program
350: Feature matching program
355: Matching Program
360: Database

Claims (14)

In the method of operating a server that generates customized parameters and program codes for each stock item,
The server applies the first parameter related to the virtual trading of the first stock item to the first program code executed therein, analyzes the first stock information for a specific period for the first stock item, and calculates the first rate of return and the first stock item. 1Step of calculating loss rate;
Comparing the first profit rate and a first reference value and comparing the first loss rate and a second reference value by the server using the first program code;
When the first rate of return is equal to or greater than the first reference value and the first loss rate is equal to or less than the second reference value, the server stores the first pair of the first parameter and the first program code in the database. saving; and
Comprising the step of the server analyzing the first stock information to generate a first stock item characteristic for the first stock information, matching the first stock item characteristic to the first pair and storing it in the database. How the server works to generate customized parameters and program code for each stock item. In paragraph 1.
When the first rate of return is not equal to or greater than the first reference value or the first loss rate is not equal to or less than the second reference value, the server changes the first parameter to generate a changed first parameter. ;
The server applies the changed first parameter related to virtual trading of the first stock item to the first program code to analyze the first stock information for the specific period for the first stock item to obtain a second rate of return. and calculating a second loss rate;
Comparing the second profit rate and the first reference value by the server using the first program code and comparing the second loss rate with the second reference value;
When the second rate of return is equal to or greater than the first reference value and the second loss rate is equal to or less than the second reference value, the server selecting the changed first parameter instead of the first parameter;
storing, by the server, a second pair of the changed first parameter and the first program code in the database; and
A method of operating a server that generates customized parameters and program code for each stock item, further comprising the step of the server matching the first stock item characteristics to the second pair and storing them in the database. According to paragraph 2,
The first parameter includes a buy parameter and a sell parameter,
The purchase parameter includes values related to a golden cross for a virtual purchase of the first stock item,
The selling parameter includes values related to a dead cross related to a hypothetical sale of the first stock item,
The first stock information includes daily bars during the specific period,
Each of the daily bars includes an opening price, high price, low price, and closing price,
The first stock item characteristic is the operation of a server that generates customized parameters and program code for each stock item, which is at least one of the variance and standard deviation of the daily fluctuation rate calculated using the two corresponding closing prices among the closing prices included in the daily bars. method. According to paragraph 1,
The server applies a second parameter related to the virtual trading of the second stock item to the second program code executed therein, analyzes the second stock information for the specific period for the second stock item, and generates a second rate of return and calculating a second loss rate;
Comparing the second profit rate and the first reference value by the server using the second program code and comparing the second loss rate with the second reference value;
When the second rate of return is equal to or greater than the first reference value and the second loss rate is equal to or less than the second reference value, the server stores a second pair of the second parameter and the second program code in the database. saving; and
The server further includes the step of analyzing the second stock information, generating second stock item characteristics for the second stock information, matching the second stock item characteristics to the second pair, and storing the second stock item characteristics in the database. A method of operating a server that generates customized parameters and program codes for each stock item. According to paragraph 4,
The server receiving and analyzing target stock information on a target stock item to generate target stock item characteristics for the target stock information;
Comparing, by the server, each of the first and second stock item features stored in the database with the target stock item feature;
selecting, by the server, the first stock type feature from the first stock type feature and the second stock type feature according to the result of the comparison;
reading, by the server, the first pair of the first parameter and the first program code matching the selected first stock item characteristic from the database;
The server applies the first parameter read from the database and related to virtual trading of the target stock item to the first program code read from the database to analyze target stock information for the specific period for the target stock item. calculating the third rate of return and third loss rate;
The server comparing the third rate of return and the first reference value and comparing the third loss rate and the second reference value using the first program code read from the database;
When the third rate of return is equal to or greater than the first reference value and the third loss rate is equal to or less than the second reference value, the server determines the first parameter and the first program code read from the database. A method of operating a server that generates customized parameters and program code for each stock item, further comprising the step of matching a pair to the target stock item characteristics and storing it in the database. According to clause 5,
The first parameter includes a first buy parameter and a first sell parameter,
The second parameter includes a second buy parameter and a second sell parameter,
The first purchase parameter includes values related to a golden cross for the virtual purchase of the first stock item,
The first sale parameter includes values related to a dead cross related to the virtual sale of the first stock item, and
The second number parameter includes values related to the golden cross,
The second selling parameter includes values related to the dead cross,
The first stock information includes the first daily bars during the specific period,
The second stock information includes the second daily bars during the specific period,
The target stock information includes the third daily bars during the specific period,
Each of the first daily bars, the second daily bars, and the third daily bars includes an opening price, high price, low price, and closing price,
The first stock item characteristic includes at least one of the variance and standard deviation of the first daily fluctuation rate calculated using the two corresponding closing prices among the closing prices included in the first daily bars,
The second stock item characteristic includes at least one of the variance and standard deviation of the fluctuation rate for each second day calculated using the two corresponding closing prices among the closing prices included in the second daily bars,
The target stock item characteristics include customized parameters and program code for each stock item, including at least one of the variance and standard deviation of the fluctuation rate for each third day calculated using the two corresponding closing prices among the closing prices included in the third daily bars. How the server you create works. In a computer program stored in a storage medium of a server that includes a program editor and a feature analysis program and generates customized parameters and program codes for each stock item,
The first program code edited by the program editor applies the first parameters related to virtual trading of the first stock item to the first program code to analyze the first stock information for a specific period for the first stock item. calculating the first rate of return and first loss rate;
Comparing the first program code with the first rate of return and a first reference value and comparing the first loss rate with a second reference value;
When the first rate of return is equal to or greater than the first reference value and the first loss rate is equal to or less than the second reference value, the first program code is set to a first pair of the first parameter and the first program code. storing it in a database; and
The feature analysis program analyzes the first stock information to generate a first stock item feature for the first stock information, matches the first stock item feature to the first pair, and stores it in the database. A computer program stored on a storage medium that performs. In clause 7,
The second program code edited by the program editor applies the second parameter related to virtual trading of the second stock item to the second program code to provide second stock information for the specific period for the second stock item. Analyzing and calculating a second rate of return and a second loss rate;
Comparing the second program code with the second rate of return and the first reference value and comparing the second loss rate with the second reference value;
When the second rate of return is equal to or greater than the first reference value and the second loss rate is equal to or less than the second reference value, the second program code is set to a second pair of the second parameter and the second program code. storing it in a database; and
The feature analysis program analyzes the second stock information to generate a second stock item feature for the second stock information, matches the second stock item feature to the second pair, and stores it in the database. A computer program stored on a storage medium that performs more. According to clause 8,
The computer program stored in the storage medium further includes a feature matching program,
The program editor receiving target stock information about the target stock item;
The feature analysis program receiving and analyzing the target stock information about the target stock item to generate target stock item characteristics about the target stock information;
comparing, by the feature matching program, each of the first and second stock item features stored in the database with the target stock item feature;
selecting, by the feature matching program, the first stock item feature from the first stock item feature and the second stock item feature according to the result of the comparison;
reading the first pair of the first parameter and the first program code matched to the selected first stock item feature by the feature matching program from the database and transmitting the first pair to the program editor;
The program editor applies the first parameter related to virtual trading of the target stock item and transmitted from the feature matching program to the first program code transmitted from the feature matching program to determine the specific period for the target stock item. Analyzing target stock information during the period to calculate a third rate of return and a third loss rate;
The program editor comparing the third rate of return and the first reference value and comparing the third loss rate and the second reference value using the first program code transmitted from the feature matching program; and
When the third rate of return is equal to or greater than the first reference value and the third loss rate is equal to or less than the second reference value, the program editor selects the first parameter and the first program transmitted from the feature matching program. The computer program stored in the storage medium further performs the step of matching the first pair of codes to the target stock symbol characteristics and storing them in the database. According to clause 9,
The first parameter includes a first buy parameter and a first sell parameter,
The second parameter includes a second buy parameter and a second sell parameter,
The first purchase parameter includes values related to a golden cross for the virtual purchase of the first stock item,
The first sale parameter includes values related to a dead cross related to the virtual sale of the first stock item, and
The second number parameter includes values related to the golden cross,
The second selling parameter includes values related to the dead cross,
The first stock information includes the first daily bars during the specific period,
The second stock information includes the second daily bars during the specific period,
The target stock information includes the third daily bars during the specific period,
Each of the first daily bars, the second daily bars, and the third daily bars includes an opening price, high price, low price, and closing price,
The first stock item characteristic includes at least one of the variance and standard deviation of the first daily fluctuation rate calculated using the two corresponding closing prices among the closing prices included in the first daily bars,
The second stock item characteristic includes at least one of the variance and standard deviation of the fluctuation rate for each second day calculated using the two corresponding closing prices among the closing prices included in the second daily bars,
The target stock item characteristic includes at least one of the variance and standard deviation of the fluctuation rate for each third day calculated using two corresponding closing prices among the closing prices included in the third daily bars. A computer program stored in a storage medium. In a method of providing stock trading information using a user computer and a server running a computer program that generates customized parameters and program codes for each stock item,
The server applies a first parameter related to virtual trading of the first stock item to the first program code edited by a program editor included in the computer program to provide first stock information for a specific period for the first stock item. Analyzing and calculating a first rate of return and a first loss rate;
Comparing the first profit rate and a first reference value and comparing the first loss rate and a second reference value by the server using the first program code;
When the first rate of return is equal to or greater than the first reference value and the first loss rate is equal to or less than the second reference value, the server sets the first parameter and the first program using the first program code. storing the first pair of codes in a database; and
The server analyzes the first stock information using a feature analysis program included in the computer program to generate a first stock item feature for the first stock information, and applies the first stock item feature to the first pair. A method of providing stock trading information including the step of matching and storing it in the database. According to clause 11,
The server applies a second parameter related to virtual trading of the second stock item to the second program code edited by the program editor to analyze the second stock information for the specific period for the second stock item and 2Calculating the profit rate and the second loss rate;
Comparing the second profit rate and the first reference value by the server using the second program code and comparing the second loss rate with the second reference value;
When the second rate of return is equal to or greater than the first reference value and the second loss rate is equal to or less than the second reference value, the server sets the second parameter and the second program using the second program code. storing the second pair of codes in a database; and
The server analyzes the second stock information using the feature analysis program to generate a second stock item feature for the second stock information, matches the second stock item feature to the second pair, and stores it in the database. A method of providing stock trading information further comprising the step of saving. According to clause 12,
receiving, by the server, target stock items transmitted from the user's computer using a matching program included in the computer program;
The server reading target stock information matched to the target stock item from the database using the matching program;
transmitting, by the server, the target stock information to the program editor and the feature analysis program using the matching program;
generating target stock item characteristics for the target stock information by the server analyzing the target stock information using the feature analysis program;
The server storing the target stock item characteristics in the database using the characteristic analysis program, and comparing the target stock item characteristics with each of the first and second stock item characteristics stored in the database. ;
selecting, by the server, the first stock item feature from the first stock item feature and the second stock item feature using the feature matching program;
The server reads the first pair of the first parameter and the first program code matched to the first stock item feature from the database using the feature matching program, and stores the first pair in the program editor. Transferring to;
The server, using the program editor, applies the first parameter transmitted from the feature matching program related to virtual trading of the target stock item to the first program code transmitted from the feature matching program to select the target stock. calculating a third rate of return and a third loss rate by analyzing target stock information for the item during the specific period;
The server compares the third rate of return and the first reference value using the first program code transmitted from the feature matching program running in the program editor and calculates the third loss rate and the second reference value. comparing;
When the third rate of return is equal to or greater than the first reference value and the third loss rate is equal to or less than the second reference value, the server uses the program editor to transmit the first reference value from the feature matching program. Matching the first pair of one parameter and the first program code to the target stock item characteristics and storing the first pair in the database; and
The server generates stock trading information for the target stock item using the first program code transmitted from the feature matching program running in the program editor and transmits it to the user computer through the matching program. A method of providing stock trading information further comprising: According to clause 13,
The first parameter includes a first buy parameter and a first sell parameter,
The second parameter includes a second buy parameter and a second sell parameter,
The first purchase parameter includes values related to a golden cross for the virtual purchase of the first stock item,
The first sale parameter includes values related to a dead cross related to the virtual sale of the first stock item, and
The second number parameter includes values related to the golden cross,
The second selling parameter includes values related to the dead cross,
The first stock information includes the first daily bars during the specific period,
The second stock information includes the second daily bars during the specific period,
The target stock information includes the third daily bars during the specific period,
Each of the first daily bars, the second daily bars, and the third daily bars includes an opening price, high price, low price, and closing price,
The first stock item characteristic includes at least one of the variance and standard deviation of the first daily fluctuation rate calculated using the two corresponding closing prices among the closing prices included in the first daily bars,
The second stock item characteristic includes at least one of the variance and standard deviation of the fluctuation rate for each second day calculated using the two corresponding closing prices among the closing prices included in the second daily bars,
The target stock item characteristic includes at least one of the variance and standard deviation of the fluctuation rate for each third day calculated using two corresponding closing prices among the closing prices included in the third daily bars.