KR20200050303A - Automatic Ordering Method for a Private Trading Investor of Stock using Algorithm Based On the Data of Security Corporation - Google Patents

Abstract

The present invention relates to a private investor-exclusive automatic stock trading method using a specialized algorithm based on securities company data. The private investor-exclusive automatic stock trading method using a specialized algorithm based on securities company data comprises the steps of: setting, by a user, a specific period to receive securities information data by accessing the KOSCOM server through an item search server; receiving and storing securities information data in the item search server; classifying primary investment target item information according to an analysis result; collecting investment information data for algorithm analysis in real time; sorting secondary investment target item information according to a predetermined specific algorithm process; buying on scale the sorted secondary investment target item information as much as a predetermined level of importance; and automatically executing revenue settlement trading. According to the present invention, an automatic stock trading method which is highly utilizable in reality can be provided.

Description

Automatic Ordering Method for a Private Trading Investor of Stock using Algorithm Based On the Data of Security Corporation}

The present invention relates to a method for automatically trading stocks for individual investors, and more particularly, to a method for automatically trading stock investments using a stock investment auto-sales application module implemented by applying a specialized algorithm based on securities company data.

In general, it is possible to largely classify the buyers in the stock market as individuals, institutions, and foreigners. Among them, the most influential and most exposed to risk of loss are individuals.

This is because, considering the basic principles of the stock market, the effect of a subject's characteristics on investment results is significant.

In other words, the stock market, which buys and sells stocks, is a competitive market that determines whether the market valuation is appropriate when market participants evaluate their corporate value by adding their perspectives to various investment information.

Therefore, understanding the important business activities of listed companies, understanding the flow of funds beyond the industry prospects, and carefully checking the internal and external market atmosphere have a profound effect on investment results.

However, it is a reality that the average individual investors are far behind not only the financial power but also the information power compared to the big powers such as institutions and foreign investors, so both the amount and processing speed of information required for investment activities are relatively inferior.

In particular, compared to institutional and foreign investors, individual investors have considerable difficulties in buying and selling, even when trading stocks. Difficulty.

This is because, in most cases, it is rare to systematically receive stock education or use HTS proficiently. This makes it easier for individual investors to make the wrong choice compared to a group of experts engaged in trading based on relatively long-term accumulated investment know-how and advanced information.

The automatic stock trading method according to the prior art has a problem in that when an individual invests in stocks, the limitations are encountered due to the poor processing ability of investment information (data) and unfamiliar trading behavior.

On the other hand, as the proportion of investment in program sales worldwide increases, the impact of the system in the investment market has increased so that the prospect that the next financial crisis will be triggered by program sales emerges.

In addition, in the cryptocurrency market where 24-hour trading is available, system trading using the automatic trading program is leading the market atmosphere, and in the stock market, professional investors are increasing the share of stock investments using the trading program.

Accordingly, there is an urgent need for a technology that provides a method of automatically selling stocks that is practically highly utilized so that individual investors who have inferior financial and information power in the existing market can use it for stock investment.

Republic of Korea Publication No. 10-2000-0063507 (November 6, 2010)

The present invention was devised to solve the above problems, and the present invention provides stocks to individual investors whose financial and information powers are inferior in the existing market by using the automatic stock trading program using a specialized algorithm based on securities company data. In order to be used for investment, it is to provide a method of auto-trading stock that is highly practical.

A method for automatically trading stocks for individual investors using a specialized algorithm based on securities company data according to an embodiment of the present invention, substitutes a specialized algorithm based on securities company data, extracts the stock, and provides users with detailed data on the stock A method of automatically selling stocks, the method comprising: setting a specific period for a user to access securities information data by accessing a Koscom server through an item search server; Receiving securities information data including price flow data and financial information of listed companies stored for a specific period set by the coscom server and storing them in an item search server; Classifying the primary investment target information according to the analysis result of price flow data and financial information of the listed companies using the stock information data received from the stock search server; Accessing a specific securities company server using its own search server and collecting investment information data for algorithm analysis in real time; Receiving real-time investment information data for algorithm analysis collected by the specific securities company server from a comprehensive analysis server and selecting secondary investment target item information according to a predetermined specific algorithm process; Dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight; And automatically executing profit clearing when the stock information of the second investment targeted for the divided purchase reaches a predetermined target section.

In addition, according to the present invention, the step of dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight, the maximum amount of the balance amount for each of the one or more selected secondary investment target item information is 20 It may be a step of buying up to%.

In addition, in the present invention, the step of dividing and buying up to 20% of the balance amount for each of the one or more selected secondary investment target item information, real-time investment for algorithm analysis collected by the specific securities company server in the comprehensive analysis server Based on the KOSPI2000 index data received along with the information data, the market strength is classified from 0 to 4, and the risk management purchase can be carried out in stages from 100% up to 80%, 60%, and 40% of the purchase amount according to the market strength. Can be.

In addition, in the present invention, the step of dividing and buying up to 20% of the balance amount for each of the one or more selected secondary investment target information, does not buy the order quantity at the same time, but takes 25% of the order quantity for 5 minutes. On the basis of buying in four stages in units of units, if the bid price increases by more than 3 ticks (+3 quotes) in the buying operation, the buying operation is stopped for a certain period of time. All quantities can be canceled.

In addition, according to the present invention, in order to perform the step of dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight, the investment amount data previously set by the user using the user terminal is synthesized. Further comprising the step of being transmitted to the analysis server, the comprehensive analysis server determines whether or not the existence of the algorithm analysis data corresponding to the investment amount data to transmit the investment item corresponding to the investment amount data to the user terminal or a predetermined algorithm It may include the step of changing the conditions to update.

In addition, according to the present invention, it is possible to classify the investment target item data based on the market strength of the comprehensive analysis server and customer setting values (with or without button touch, investment setting, account information) on the user terminal and process a signal to buy and sell. have.

In addition, according to the present invention, the optimal purchase price can be found by adjusting the purchase signal based on the algorithm purchase data generated by analyzing the buy / sell price based on real-time investment information data for algorithm analysis collected by the specific securities company server. .

In addition, according to the present invention, investment information data including corporate information, financial information, market trends, trading volume, conclusion strength, and trading trends are received in real time to update the analysis algorithm for stock information of investment targets at regular intervals to customize the investment. Information can be extracted automatically.

In addition, in the present invention, when the automatic trading button is activated, when the target price analyzed by the analysis algorithm for stock information of the investment target is reached, the investment stock of the holding balance is liquidated, and the price drops to a predetermined risk level price. If you do, you can cut it.

In addition, according to the present invention, an investment item of a holding balance can be forcibly sold even when the automatic trading button is not activated by interlocking with a specific securities company account through a user terminal.

As described above, the present invention is practically utilized to make stock investments to individual investors with inferior financial power and information power in the existing market by using the automatic trading program of stock investment to which a specialized algorithm based on securities company data is applied. It has the effect of providing a method of auto-trading stocks.

In addition, the present invention extracts the stock by substituting a specialized algorithm based on the securities company data, and provides a method for providing detailed data on the stock to the user, thereby increasing the efficiency when an individual investor makes a stock investment. There is an effect of resolving information asymmetry and maximizing investment efficiency by trading items through the trading process.

1 is a flow chart for schematically showing a method for automatically trading stocks for private investors using a specialized algorithm based on securities company data according to an embodiment of the present invention.
2 is a block diagram for further explaining a buy and sell algorithm process according to the embodiment of the present invention shown in FIG. 1.
3 to 4 are block diagrams schematically showing an activation function for performing user-customized trading and an input process for setting an investment.
FIG. 5 is a block diagram schematically showing a real-time brokerage process of a balance and return of a specific brokerage account through a user terminal.

Advantages and features of the present invention, and methods for achieving them will be clarified with reference to embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains. It is provided to fully inform the holder of the scope of the invention, and the invention is only defined by the scope of the claims. The same reference numerals refer to the same components throughout the specification.

In the description of the embodiments of the present invention, when it is determined that a detailed description of known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted, and terms to be described later in the embodiments of the present invention These terms are defined in consideration of the function of the user, and may vary depending on the user's or operator's intention or custom. Therefore, the definition should be made based on the contents throughout this specification.

Combinations of each step of each configuration and flow diagram in the accompanying drawings may be performed by computer program instructions (execution engines), which are mounted on a processor of a general purpose computer, special purpose computer, or other programmable data processing device. As such, those instructions that are executed through a processor of a computer or other programmable data processing device create means for performing the functions described at each step of each configuration or flowchart of the drawings.

These computer program instructions can also be stored in computer readable or computer readable memory that can be oriented to a computer or other programmable data processing device to implement a function in a particular way, so that computer readable or computer readable memory The instructions stored in it are also possible to produce an article of manufacture containing instructions means for performing the functions described in each step of the flow diagram or in each configuration of the drawings.

And since computer program instructions may be mounted on a computer or other programmable data processing device, a series of operation steps are performed on a computer or other programmable data processing device to create a process that is executed by the computer to generate a computer or other programmable It is also possible for the instructions to perform the data processing apparatus to provide steps for executing the functions described in each step of the flow chart and each configuration of the drawings.

Also, each configuration or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical functions, and in some alternative embodiments, referred to in the configurations or steps It should be noted that it is also possible for functions to occur out of sequence. For example, it is possible that two components or steps shown in succession are actually performed substantially simultaneously, and it is also possible that the components or steps are performed in the reverse order of the corresponding function as necessary.

The present invention relates to an automatic stock trading method that extracts an item by substituting a specialized algorithm based on securities company data and provides detailed data about the item to a user.

The present invention can solve the essential item extraction, market strength analysis, set purchase price, divided liquidation, and liquidation of liquids (return of profit and loss) in the algorithm-based automatic trading system with only 3 to 4 button touches. It is a stock investment method.

Here, the present invention provides a method of extracting a stock by substituting a specialized algorithm based on securities company data, and providing a user with detailed data on the stock, thereby allowing the user to trade the stock through an automatic trading process, resulting in information asymmetry. And can maximize investment efficiency.

In addition, when a user connects an ID connected to a stock account opened by a specific securities company in connection with user data according to an embodiment of the present invention, it is possible to access a user terminal capable of operating an investment with the corresponding account. The user can freely start automatic trading based on the investment algorithm provided by the automatic trading method according to the present invention by setting the limit of the operating investment on the operation screen and pressing the start button at the desired investment timing. In, you can control the start and end of automatic trading as many times as you press the Stop button.

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

1 is a flow chart for schematically showing a method for automatically trading stocks for private investors using a specialized algorithm based on securities company data according to an embodiment of the present invention.

As shown in the figure, in accordance with an embodiment of the present invention, a method for automatically selling stocks exclusively for individual investors using a specialized algorithm based on securities company data, the first step of setting a specific period (S100), receiving securities information data, and The second step of storing (S200), the third step of classifying item information for primary investment (S300), the fourth step of collecting investment information data for algorithm analysis (S400), the second step of selecting item information for investment It may include a fifth step (S500), a sixth step to buy and sell (S600), and a seventh step (S700) to execute profit-loss trading.

More specifically, first, the first step (S100) of setting the specific period is a step of setting a specific period for the user to access the Koscom server through the stock search server and receive the securities information data (S100). Can be.

Next, the second step (S200) of receiving and storing the securities information data, receives securities information data including price flow data and financial information of listed companies stored for a specific period set by the coscom server, and then searches the stock search server. It may be a step of saving.

Next, in the third step (S300) of classifying the stock information of the primary investment target, the first step is based on the analysis result of price flow data and financial information of the listed companies using the stock information data received from the stock search server. It may be a step of classifying item information for investment.

Next, the fourth step (S400) of collecting the investment information data for algorithm analysis may be a step of collecting investment information data for algorithm analysis in real time by accessing a specific securities company server using its own search server.

Next, in the fifth step (S500) of selecting the secondary investment target item information, a comprehensive analysis server receives real-time investment information data for algorithm analysis collected by the specific securities company server, according to a specific algorithm process set in advance. It may be a step of selecting item information for the second investment.

Next, the sixth step S600 of buying and selling may be a step of buying and selling the item information of the secondary investment target selected by the comprehensive analysis server by a predetermined weight.

Herein, the step of dividing and buying the information of the secondary investment target items selected by the comprehensive analysis server by a predetermined weight, the number of purchases of up to 20% of the balance amount for each of the one or more selected secondary investment target information It may be a step.

In addition, the step of dividing and buying up to 20% of the balance amount for each of the one or more selected secondary investment target information, together with real-time investment information for algorithm analysis collected by the specific securities company server in the comprehensive analysis server Based on the received KOSPI2000 index data, market strengths can be classified from 0 to 4, and risk management purchases can be made in stages from 100% up to 80%, 60%, and 40% of the purchase amount depending on the market strength.

On the other hand, the step of dividing and buying up to 20% of the balance amount for each of the one or more selected secondary investment target item information is not a temporary purchase of the order quantity, but 25% of the order quantity in 4 minute steps. Based on the split purchase, if the bid price increases by more than 3 ticks (+3 quotes) in the purchase operation, the purchase operation is stopped for a certain period of time, and if the specified time is exceeded, all outstanding orders are canceled. can do.

In addition, according to the present invention, in order to perform the step of dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight, the investment amount data set in advance by the user using the user terminal is the above. Further comprising the step of being transmitted to the comprehensive analysis server, the comprehensive analysis server determines the presence or absence of the algorithm analysis data corresponding to the investment amount data to transmit the investment item corresponding to the investment amount data to the user terminal or set in advance And updating the algorithm conditions.

In addition, the present invention, the market strength of the comprehensive analysis server and the user set values (button presence or absence, investment setting, account information) on the user terminal can be categorized as the investment target data and process the buy and sell signal. have.

In addition, according to the present invention, the optimal purchase price can be found by adjusting the purchase signal based on the algorithm purchase data generated by analyzing the buy / sell price based on real-time investment information data for algorithm analysis collected by the specific securities company server. .

In addition, the present invention receives corporate information, financial information, market trends, transaction volume, conclusion strength, and trading information, etc. in real time, and updates the analysis algorithm for stock information of investment targets at regular intervals to customize investment. Information can be extracted automatically.

Next, the seventh step (S700) of performing the profit and sale trade may be a step of automatically executing the profit and liquidation trade when the stock information of the secondary investment subject to the division and purchase reaches a predetermined target section. .

At this time, in the present invention, when the automatic trading button is activated, when the target price analyzed by the analysis algorithm for stock information of the investment target is reached, the investment stock of the holding balance is liquidated, and the price drops to a predetermined risk level price. If you do, you can cut it off.

On the other hand, according to the present invention, by linking with a specific securities company account through a user terminal, it is possible to forcibly sell the investment item of the holding balance even when the automatic sale button is not activated.

The automatic trading method illustrated in FIG. 1 will be described in detail with reference to FIGS. 2 to 5 as follows.

2 is a block diagram for further explaining a buy and sell algorithm process according to the embodiment of the present invention shown in FIG. 1.

As shown in the figure, according to an embodiment of the present invention, the most important activity of the automatic selling method implemented in accordance with an embodiment of the present invention is the buy / sell algorithm, which is corporate information in Koscom, price flow data for the past year. , You can receive the securities information data such as financial information to the stock search server and proceed with the first classification.

Next, if the real-time investment information of each type is collected by communicating the data collected by the securities company server with the search server, it can be delivered to the comprehensive analysis server to secondaryly output the item data according to the refined algorithm process.

At this time, the comprehensive analysis server divides and purchases the output of the stock data up to a maximum of 20% of the balance amount per stock, depending on the market strength (0 ~ 4), up to 100% to 80%, 60%, 40 of the quantity to be purchased It can be purchased while managing risk in steps of%.

Here, in order to proceed with the purchase, in principle, it is possible not to purchase the order quantity at the same time in accordance with the signal, but to proceed in 25 steps of the quantity to be ordered in four-minute divided purchases in principle.

In addition, when the bid price increases by more than 3 ticks (+3 quotes) from the number of algorithms purchased during the buying process, the buying activity is temporarily suspended.

At this time, according to an embodiment of the present invention, the stopped purchase signal is resumed as soon as it enters the purchase price ticket, but when the initial purchase order time exceeds 30 minutes, all outstanding orders are canceled.

On the other hand, in an embodiment of the present invention, when an item that has been purchased through the user terminal and entered the balance list reaches the target section, profits are automatically cleared according to the automatic trading process, and when the user clicks on the transaction history. Data can only be received from the securities company server and expressed on the terminal.

3 to 4 are block diagrams schematically showing an activation function for performing user-customized trading and an input process for setting an investment.

As shown in the figure, the automatic stock trading method according to an embodiment of the present invention, when the user terminal transmits the investment amount data set by the user to the comprehensive analysis server, extracts when there is algorithm analysis data matching the set investment amount. You can send the selected item to the terminal.

On the other hand, in an embodiment of the present invention, if there is no algorithm data that meets the investment amount set by the user, the data value of the item may be returned when the data exists after the algorithm is changed again.

At this time, the received item data may check whether the state of the program terminal is activated (Start) / stop (Stop), and send / purchase / sell signals to the securities company server to proceed with the trading operation.

 In addition, according to an embodiment of the present invention, the input value of the investment setting acts as a limit line of the purchase price of the item data, and when the investment set amount is small compared to the currently operated investment, only the sale proceeds until the operating fund is adjusted below the set investment amount. , You may not proceed with new purchases.

FIG. 5 is a block diagram schematically showing a real-time brokerage process of a balance and return of a specific brokerage account through a user terminal.

As shown in the figure, the automatic stock trading method according to an embodiment of the present invention transmits / receives the user's securities account history recorded in securities company data every 5 to 10 seconds at the user terminal, and the balance history and transaction history in the terminal. You can save and expose.

At this time, if you click on the item in the balance statement list, you can communicate with the securities company server again to load the song window data for the item at intervals of 5 to 10 seconds and import the chart data for one month.

In addition, the transaction history fetches data from the securities company server from the moment the tab is clicked. Trade item name, order division (buy / sell), order quantity, execution quantity, execution price, order execution quantity total, order processing availability And other data.

In addition, the transaction-related data is updated at regular intervals only for the case of real-time data retrieved from the basic screen, but in the overall structure, it is configured with a structure that retrieves the data when there is an action to prevent data overload during auto-sales. Through this, we can focus on creating a stable trading environment.

On the other hand, the automatic stock trading method according to an embodiment of the present invention, as described above, may perform a weight control process in which the KOSPI strength is checked in response to a market trend.

In other words, if the data collected from the search server that exchanges data with the Koscom server and its own search server that is linked to the securities company data is transferred to the integrated analysis server that manages the terminal, the item data will be derived according to the algorithm analysis process. Can be.

At this time, the automatic trading method according to an embodiment of the present invention does not immediately send a buy / sell signal to a securities company server to which the user's account is connected, but can check the market strength once more on the comprehensive analysis server. .

In addition, the comprehensive analysis server can classify and check the market level from 0 to 4 based on the KOSPI200 index data passed together from securities company data.

Here, if the market trend is an upward trend, proceed to buy 100% of the signal weight to buy stock data derived in accordance with the analysis algorithm and set investment conditions, and if the market trend is above the downward trend, 40% of the signal weight It can be adjusted so that it can be reduced to buy.

According to an embodiment of the present invention, the market trend intensity affecting the proportion of purchases can be influenced by the comprehensive analysis server from the securities company's servers continuously from 9:00 to the close of the market at 3:20. have.

As described above, the present invention has a high practical use, so that it can be used for stock investment to individual investors who have inferior financial and information power in the existing market by using the automatic stock trading program using a specialized algorithm based on securities company data. It has the effect of providing a method of auto-selling stocks.

In addition, the present invention, by applying a specialized algorithm based on the securities company data, extracts the stock, and provides a method for providing detailed data about the stock to the user, increases the efficiency when an individual investor makes a stock investment. There is an effect of resolving information asymmetry and maximizing investment efficiency by trading items through the trading process.

The present invention has been described in detail so far, but the embodiments mentioned in the process are merely illustrative, and it is clear that it is not limited, and the present invention is the technical spirit or field of the present invention provided by the following claims. Within the scope of not departing, component changes to the extent that they can be dealt with evenly will fall within the scope of the present invention.

Claims (10)

In the automatic trading method of stocks that extracts items by substituting a specialized algorithm based on securities company data and provides users with detailed data about the items,
Setting a specific period for a user to access the Koscom server through the item search server and receive the security information data;
Receiving securities information data including price flow data and financial information of listed companies stored for a specific period set by the coscom server and storing them in an item search server;
Classifying the primary investment target information according to the analysis result of price flow data and financial information of the listed companies using the stock information data received from the stock search server;
Accessing a specific securities company server using its own search server and collecting investment information data for algorithm analysis in real time;
Receiving real-time investment information data for algorithm analysis collected by the specific securities company server from a comprehensive analysis server and selecting secondary investment target item information according to a predetermined specific algorithm process;
Dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight; And
And automatically executing profit clearing when the stock information of the second investment targeted for the divided purchase reaches a predetermined target period. Personal investor using a specialized algorithm based on securities company data comprising the steps of: Dedicated stock auto trading method
The method according to claim 1, The step of dividing and buying the secondary investment target item information selected by the comprehensive analysis server by a predetermined weight,
A method of auto-selling stocks exclusively for individual investors using a specialized algorithm based on securities company data, characterized in that it is a step of dividing and buying up to 20% of the balance amount for each of the selected secondary investment target information.
The method according to claim 2, The step of dividing and buying up to 20% of the balance amount for each of the one or more selected secondary investment target item information,
Based on the KOSPI2000 index data received along with real-time investment information for algorithm analysis collected from the specific securities company server in the comprehensive analysis server, the market strength is classified from 0 to 4, depending on the market strength, at a maximum of 100% of the purchase amount Automatic trading method for stocks exclusively for individual investors using specialized algorithms based on securities company data, characterized in that the purchase of risk management is carried out step by step up to 80%, 60%, and 40%.
The method according to claim 3, wherein the step of buying up to 20% of the balance amount for each of the one or more selected secondary investment target item information,
It is based on the fact that 25% of the order quantity is purchased in 4 steps in 5 minute increments rather than buying the order quantity at the same time, and when the bid price increases by more than 3 ticks (+3 bid price) in the buying action, the buying action is fixed. Automatic trading method for stocks for private investors using specialized algorithms based on securities company data, characterized by canceling all unsettled orders if the time is stopped and exceeds a predetermined time.
The method according to claim 1,
In order to perform the step of dividing and buying the item information of the secondary investment target selected by the comprehensive analysis server by a predetermined weight,
Further comprising the step of transmitting the investment amount data set in advance by the user using the user terminal to the comprehensive analysis server,
And determining whether or not the algorithm analysis data corresponding to the investment amount data is present in the comprehensive analysis server and transmitting the investment item corresponding to the investment amount data to the user terminal or changing and updating a predetermined algorithm condition. Automatic trading method for stocks for private investors using specialized algorithms based on securities company data
The method according to claim 1,
Securities firm data characterized by classifying the target item data and processing the buy and sell signal based on the market strength of the comprehensive analysis server and the customer set values (with or without button touch, investment setting, account information) on the user terminal. Automatic trading method of stocks for private investors using specialized algorithms based on
The method according to claim 1,
Based on securities company data, characterized by finding the optimal number by adjusting the buying signal based on the algorithm buying data generated by analyzing the buying / selling price based on real-time investment information for algorithm analysis collected from the specific securities company server. Automatic trading method for stocks for private investors using specialized algorithm
The method according to claim 1,
Receives real-time investment information data, including corporate information, financial information, market trends, trading volume, conclusion strength, and trading trends, and updates the analysis algorithms for investment target information at regular intervals to automatically extract customized investment information. Automatic trading method for stocks exclusively for individual investors using specialized algorithms based on securities company data
The method according to claim 1,
When the automatic trading button is activated, when the target price analyzed by the analysis algorithm for stock information of the investment target is reached, the investment stock of the holding balance is closed,
A method for automatically trading stocks for private investors using specialized algorithms based on securities company data, characterized in that it is cut off when it falls to a price at a predetermined risk level.
The method according to claim 1,
Stocks for private investors using specialized algorithms based on securities company data, characterized in that it is possible to forcibly sell the investment item of the holding balance even if the automatic trading button is not activated by linking with a specific securities company account through the user terminal. Automatic trading method

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