KR102255092B1 - Restricted ordering system and method thereof - Google Patents

Abstract

A limit order system and method thereof are disclosed. The limit order system includes an order specifying module for specifying a limited market price order limited to n (n is a natural number of 2 or more) for the order quantity for a predetermined financial product, and a limited market price order specified by the order specifying module. Execute the order so that the order can be executed only within the range of the quoted price from the reference price based on the price of the order n.- Even if the sum of the remaining quotes from the quoted price to the price of n is smaller than the order quantity, the order will be executed only up to the price of n -It includes a control module.

Description

Restricted ordering system and method thereof

The present invention relates to a limited order system and a method thereof, and more particularly, to a system and method for enabling more effective ordering by limiting the execution range of a conventional market price order according to a user's needs or market conditions.

There are several types of orders for buying and selling various financial instruments such as stocks, futures, and options.

Among these, a market order is an order that is used when a desired quantity is executed at a price that is currently formed in the market without specifying a price.

1 is a diagram for explaining a conventional market order.

At a given point in time, the quotes (eg, 60 to 130) for a specific financial product and the remaining quotes (eg, 30, 40, 80, 50, 50, 40, 30, 70) for a specific financial product are as shown in FIG. It can be the same.

In such a situation, for example, in the case of performing 150 weeks of purchasing the financial product with a market order, the conclusion may be made immediately without considering the execution price until 150 shares, which is the order quantity, can be purchased due to the nature of the market order. For example, in the situation of FIG. 1, until the order quantity of 150 shares is signed, the execution price is 100 for 50 weeks, the execution price 110 for 40 weeks, the execution price 120 for 30 weeks, and the execution price 130 for 30 weeks.

These market orders are widely used when market prices move quickly or when fast order execution is desired.

However, these market orders are orders that are executed as much as the order quantity without considering the execution price, so if a part of the order quantity may be concluded at a high (or low) amount unexpectedly by the user, it is difficult to actively use it. Exists.

Therefore, it can be very useful if the user (orderer) can limit the execution price of an order within a certain range while ensuring fast execution like a conventional market order.

Prior Art 1: URL( http://www.econowide.com/3482) "Let's find out the trading strategy according to the stock order type and stock order type!"

The technical problem to be achieved by the present invention is to provide an ordering method capable of performing a fast conclusion, which is an advantage of a market order, but limiting the execution price through a market order within a certain range.

In addition, it is to provide an ordering method in which the range of such a contract price can be automatically narrowed or widened according to the situation of the market.

The ordering system for achieving the technical problem is an order specifying module for specifying a limited market price order limited to n (n is a natural number of 2 or more) asking price for the order quantity for a predetermined financial product, and the order specifying module. Based on the specified limited market order, the order is executed so that the order can be executed only within the range of the quoted price from the reference price to the price of n. It includes a control module that allows the fastening to be made.

If there is a remaining quantity of the order quantity except for the quantity concluded by market price order execution up to the n-quote range, the remaining quantity is at least one of the n-quote prices from the reference price to the n-quote price. The corresponding ask price can be used as the order price.

The control module may be characterized in that the remaining quantity is divided into n groups, and each of the divided n groups has n different ask prices ranging from the reference price to the n number as an order price.

The control module may set the ask price of n ask price as the order price for the remaining quantity.

The order specification module determines the n based on the characteristics of the financial product subject to the limited market price order, or the sum of the order quantity and the remaining quotes from the reference quote to the n quotes, or a quote balance distribution. It is characterized in that it is automatically determined, and the characteristics of the financial product may be determined based on at least one of classification, transaction volume, and volatility of the financial product.

The order specific module learns through machine learning the characteristics of the past financial products or the status of the quotes in the past, and the order result when different ns are applied at this time, and based on the learning result, at the present time point. The n may be determined according to the characteristics of the financial product.

The control module may cancel an order for the remaining quantity when a predetermined time condition for the remaining quantity is satisfied, or cancel an order for the remaining quantity when a predetermined volatility condition is satisfied.

The order method for solving the technical problem is the step of specifying, by the limit order system, a limited market price order limited to n (n is a natural number of 2 or more) asking price for the order quantity for a predetermined financial product, and the limit order system is specified. Based on the limited market price order, the order is executed so that the order is executed only within the range from the standard ask price to the n order price-Even if the sum of the remaining ask price from the standard ask price to the number n is less than the order quantity, the order is executed only up to the above price n This includes the step of making-to happen.

The step of performing an order such that the limit order system executes an order to be executed only within a range of a quoted price from a reference price based on a specified limited market price order, wherein the limit order system orders up to the price range of the order n among the order quantity. When there is a remaining quantity other than the quantity concluded by a conclusion, the remaining quantity may be an order price that corresponds to at least one of the n number of quotes from the reference price to the n-quote price.

The step of performing, by the limit order system, an order so that the market order is executed only within a range from a reference quote to n quotes based on a specified limited market price order, wherein the remaining quantity is divided into n groups, and the divided n groups Each may have n different ask prices ranging from the reference price to the n offer price as an order price.

The step of specifying, by the limit order system, an order for a limited market price order limited to n (n is a natural number of 2 or more) for the order quantity for a predetermined financial product, is a characteristic of the financial product subject to the limited market price order. And automatically determining n based on, and the characteristic of the financial product may be determined based on at least one of a classification, a transaction volume, and a volatility of the financial product.

The limit order method further includes the step of learning through machine learning information on characteristics of past financial products and an order result when different ns are applied at this time, and the financing subject to the limited market order In the step of automatically determining n based on the characteristics of the product, the n may be determined according to the characteristics of the financial product at the present time based on the learning result.

The above method can be implemented by a computer program stored on a recording medium.

According to an embodiment, a data processing system according to the technical idea of the present invention includes a processor and a data storage device recording a program executed by the processor, and the method may be performed by the program.

According to the technical idea of the present invention, a user can execute an order within a short time by utilizing the advantages of a conventional market price order, while limiting the range of the execution price made through such an order. There is an effect that can prevent at least a portion of the fastening.

In addition, the range of the limited execution price can also be adaptively changed according to the market situation or the characteristics of the financial product to be traded, thereby enabling an ordering strategy that is adaptive to the target of trading or the situation of the market.

A brief description of each drawing is provided in order to more fully understand the drawings cited in the detailed description of the present invention.
1 is a diagram for explaining a conventional market order.
2 shows a schematic system configuration for implementing a limit order method according to an embodiment of the present invention.
3 is a diagram showing a schematic configuration of a limit order system according to an embodiment of the present invention.
4 to 5 are diagrams exemplarily showing an order result according to a limit order method according to an embodiment of the present invention.
6 is a view for explaining a concept of adaptively determining a range of a fastening price through an order according to an embodiment of the present invention.

Since the present invention can apply various transformations and have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all conversions, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the present invention, when it is determined that a detailed description of a related known technology may obscure the subject matter of the present invention, a detailed description thereof will be omitted.

Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise.

In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and one or more other It is to be understood that the presence or addition of features, numbers, steps, actions, components, parts, or combinations thereof, does not preclude the possibility of preliminary exclusion.

In addition, in the present specification, when one component'transmits' data to another component, the component may directly transmit the data to the other component, or through at least one other component. This means that the data may be transmitted to the other component. Conversely, when one component'directly transmits' data to another component, it means that the data is transmitted from the component to the other component without passing through the other component.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings, focusing on embodiments of the present invention. The same reference numerals shown in each drawing indicate the same members.

2 shows a schematic system configuration for implementing a limit order method according to an embodiment of the present invention.

Referring to FIG. 2, in order to implement a limit order method according to an embodiment of the present invention, an investor limit order system 100 according to the technical idea of the present invention may be implemented.

The limit order system 100 may be a system installed in a terminal (eg, a computer, a mobile terminal, etc.) used by a user to implement the technical idea of the present invention. The user may be an investor, or may be an employee of a financial institution that performs an order for an investor. A person who orders a financial product in various other ways may use the limit order system 100 according to the technical idea of the present invention. Of course, according to an implementation example, the limit order system 100 may be implemented in the form of a server for performing order processing according to the technical idea of the present invention.

The limit order system 100 is defined to implement the technical idea of the terminal and the hardware of the terminal in order to implement the technical idea of the present invention, and may be a system defined by organically combining software installed in the terminal. .

The limit order system 100 may output a limited market price order according to the technical idea of the present invention to the order processing system 200. The limited order system 100 may output one or more consecutive orders to the order processing system 200 to the order processing system 200 in order to implement a limited market price order according to the technical idea of the present invention. At this time, each of the consecutive orders may be orders defined in the exchange system. Since the limited market order according to the technical idea of the present invention is a new type of order that is not known by a stock company or an exchange, the limit order system 100 places a conventional standard order (for example, a market order, a limit order, etc.) one or consecutively. By outputting to, a limited market order according to the technical idea of the present invention can be made.

Of course, depending on the embodiment, when the order processing system 200 participating in the transaction of a financial product receives the limited market price order, it may be supported to execute an order according to the technical idea of the present invention. In this case, when the limited order system 100 simply outputs a limited market price order, the order processing system 200 may execute an order according to the technical idea of the present invention.

In the end, processing an order at a limited market price according to the technical idea of the present invention may mean outputting at least one order so that an order and execution are made according to the definition of an order at the limited market price according to the technical idea of the present invention. That is, when a user requests the output of a limited market price order, the limit order system 100 according to the technical idea of the present invention is provided with only one such request (from the viewpoint of the orderer). Likewise, the remainder of the quoted price from the reference price to the nth price is immediately concluded, and when the remaining quantity is present, the remaining quantity may be concluded with at least one price from the reference price to nth price.

The order processing system 200 may be a system of an order relay agency (eg, a securities company) that receives an order from the limit order system 100 according to an embodiment of the limit order system 100. Alternatively, the order processing system 200 may be an exchange system that performs transaction settlement processing according to an order. In any case, the order processing system 200 may refer to at least one system that receives at least one order from a terminal equipped with the limit order system 100 and participates in order to place an order at the limited market defined in this specification. I can.

The limited market order according to the technical idea of the present invention may be a kind of order that allows the order to be executed as much as a desired quantity at a price that can be concluded when the order reaches the market without determining an order price like a conventional market order.

In this specification, a price that can be concluded when an order reaches the market, that is, a price that is concluded first among the prices that are concluded through a market price order is defined as a reference price. In the case of a buy order, the reference price may be the highest priority bid price, and in the case of a sell order, the reference price may be the highest priority bid price.

In addition, the limited market price order may be an order that allows the order to be concluded only within a range of n (n is a natural number of 2 or more) from the reference price. That is, the limited market order according to the technical idea of the present invention improves the fact that a part of the order quantity is concluded at an unexpected execution price, which is a disadvantage of the conventional market order order, while limiting the execution price to within a certain range, while placing an order within a short time like a market order. It has the effect of making it possible to fasten. In particular, the market price order is mainly used when the market volatility is large, but when the market volatility is large, it may become impossible to predict the execution price. Therefore, according to the technical idea of the present invention, it is possible to serve as a safety device that limits the fastening price from the reference price to a certain range even in a highly volatile situation.

For example, in the example of FIG. 1, if a market order for purchasing 150 shares is output as a conventional market order, the execution price for 150 shares is 100 won, 110 won, 120 won, and 130 won. However, in accordance with the technical idea of the present invention, when a limited market order is performed that limits 150 shares to the second price, the quantity immediately concluded according to the market order is within the range of the standard price (100 won) to the second price (110 won). It can be only the quantity of. In other words, up to 50 shares of the quoted price of KRW 100, which is the reference price, and 40 shares of the ask price of KRW 110, which is the next asking price, are immediately concluded as in the conventional market order. The 60 shares are characterized by the fact that they will not be concluded in the form of market order.

Therefore, in the end, the quantity that can be concluded in the market order method through the limited market order, that is, the quantity that can be immediately concluded at a conclusion price within the range of n from the reference price, allows the order to be concluded in the same manner as the conventional market order, and the remaining quantity is An order method that attempts to conclude within the n-price range may be a limited market price order defined in the present invention.

There may be various ways of attempting to conclude the remaining quantity within the range of number n. As will be described later, the remaining quantity may be processed to have n-quote price as an order price, and each quantity divided by dividing the remaining quantity may be processed so as to have different order prices from the reference price to n-quote price. Alternatively, the remaining quantity may be processed so that the reference price is the order price. To this end, the limit order system 100 outputs a limit order for the total order quantity at a limit price of n quotes, or a partial quantity of the n offer price (e.g., less than or equal to the sum of the remaining quotes from the reference price to the n price range). For quantity), either a market order or a limit order of n-quote is output, and then, a limit order with different order prices (from the reference price to n-quote) in succession is output, or any one of the prices from the reference price to the n-quote price is output. You can also print a limit order at the order price.

If you want to conclude with the highest probability of the remaining quantity while limiting the price to the order of the n price range, that is, prioritizing the conclusion, it may be desirable to process the remaining quantity to have the order price of the n price, and prioritize the price. In this case, it may be processed so that the remaining quantity has the reference price as the order price. Or, if you want to harmonize the probability of contracting with the price on average, you can make the order price evenly within the range of the n price.

The limit order system 100 according to the technical idea of the present invention for implementing this technical idea may have a configuration as shown in FIG. 3.

3 is a diagram showing a schematic configuration of a limit order system according to an embodiment of the present invention.

Referring to FIG. 3, the limit order system 100 according to the technical idea of the present invention may include a control module 110 and an order specification module 120.

The limit order system 100 may mean a logical configuration including hardware resources and/or software necessary to implement the technical idea of the present invention, and necessarily means one physical component or one Does not mean the device of. That is, the limit order system 100 may mean a logical combination of hardware and/or software provided to implement the technical idea of the present invention, and if necessary, it is installed in a device spaced apart from each other to perform each function. By performing, it may be implemented as a set of logical configurations for implementing the technical idea of the present invention. In addition, the limit order system 100 may mean a set of components implemented separately for each function or role for implementing the technical idea of the present invention. For example, each of the control module 110 and the order specification module 120 may be located in different physical devices, or may be located in the same physical device. In addition, depending on the implementation example, the combination of software and/or hardware constituting each of the control module 110 and the order specific module 120 is also located in different physical devices, and the configurations located in different physical devices are organic. It may be combined to implement each of the above modules.

In addition, in the present specification, a module may mean a functional and structural combination of hardware for performing the technical idea of the present invention and software for driving the hardware. For example, the module may mean a predetermined code and a logical unit of a hardware resource for executing the predetermined code, and does not necessarily mean a physically connected code or a single type of hardware. Can be easily inferred by an average expert in the technical field of the present invention.

The control module 110 may control other components (eg, the order specific module 120) included in the limit order system 100 in order to implement the technical idea of the present invention.

The order specifying module 120 may specify a limited market price order. In order for the order specifying module 120 to specify a limited market price order, the order specification module 120 may specify a financial product, an order quantity, an order type (eg, buy or sell), and/or n quotes.

The order specifying module 120 may specify a financial product, an order quantity, and an order type by receiving a user's input. Of course, according to an embodiment, when the limit order system 100 is implemented in a predetermined trading system (not shown) or when an order is executed using a trading decision of the trading system, the financial product, the order quantity, and / Or the type of order may be automatically determined by the trading system. Then, using the information determined by the trading system, the order specifying module 120 may specify a limited market price order.

According to an example, the n may also be specified by determining and receiving input by the user. According to another embodiment, n may be automatically specified by the order specifying module 120 based on a characteristic of a financial product and/or a quoted price.

The characteristics of financial products are, for example, the types of financial products to be ordered (e.g., if the financial products are stocks, the types of large-cap, mid-cap, and small-cap stocks according to the size classification, bio, dietary, shipbuilding, etc. Or the type of financial product itself, such as stocks, futures, options, overseas futures, etc.). That is, it can be determined that the appropriate n varies depending on the type of financial product.

Alternatively, the characteristics of a financial product may include information on the volume or volatility of the financial product. In other words, the order result of the limited market order may be different by varying the range of the n-quote price according to the transaction volume.

For example, in the case of a financial product with high trading volume or volatility, n may be set relatively large, and in the case of a financial product with small trading volume or volatility, n may be set relatively small. Of course, in the case of financial products with high trading volume or volatility depending on the user, n can be set relatively small, and in the case of financial products with small trading volume or volatility, n can be set relatively large. You can also selectively carry out your desired ordering strategy. In any case, if n is set to be large, it can be a strategy to increase the efficiency of order settlement rather than price efficiency, and if n is set to be small, it may be a strategy to increase the efficiency of the settlement price rather than the efficiency of order settlement.

Alternatively, the characteristics of financial instruments may include the status of quotations. The quoted price status may include information on the sum of the remaining quotes from the reference quote to the nth quote, and the distribution of the quoted balance by quote from the reference quote to the nth quote.

For example, the order specification module 120 may simply set n to be smaller than the order quantity in which the sum of the remaining quotes and prices is less than the order quantity. This is because when n is set so that the sum of the remaining quotes is equal to or greater than the order quantity, the result can be the same as the conventional market order.

The distribution of the ask price balance may mean the ratio of the ask price balance of each of the n ask prices from the reference price to the n offer price. In addition, n can be adaptively set according to the ratio of the remaining quoted price by the reference price and the remaining quoted price by the n-quote.

The setting of n according to the characteristics of the financial product and/or the status of the quoted price may be determined according to a predetermined rule, and as will be described later, the learned engine is used after learning past cases to determine n with good performance of the order result. May be.

In any case, when a limited market price order is specified by the order specifying module 120, the control module 110 may perform a limited market price order.

As described above, that the control module 110 performs an order at a limited market price may mean a case in which at least one order is output so that a conclusion is made as defined in the present specification as described above.

For example, the control module 110 calculates the sum of the remaining quotes from the reference price to the nth price in real time, and when a limited market price order is requested, performs a market order for a predetermined quantity less than the sum of the remaining quotes, For the rest of the quantity, limit orders that specify the order price can be output continuously. An average expert in the technical field of the present invention will be able to easily deduce that the limited market price order according to the technical idea of the present invention can be processed in various ways according to various other methods or agreements with the order processing system 200. .

When the control module 110 performs a limited market order, the market order can be concluded only within a range from the reference price to the price of n. In addition, when the limited market order reaches the market, that is, the exchange system, even if the sum of the remaining ask price from the reference ask price to the order number n is smaller than the order quantity, the market order order can be executed only up to the order number n. In addition, for the remaining quantity, the control module 110 may perform an order so that at least one price between the reference price and the n price becomes an order price.

For example, the control module 110 may divide the remaining quantity into n groups. In addition, each of the divided n groups may have n different ask prices from the reference bid price to the n bid price as an order price. For example, if the remaining quantity is 100 and n is 3, the order is divided equally within the range allowed by the order quantity unit of the financial instrument, and orders are placed so that they have an order price of the reference price, the reference price +1, and the reference price +2. You can do it. Of course, it is not necessary to divide the remaining quantity equally from the reference price to the n price, and the quantity with the reference price as the order price is more, and the order quantity becomes smaller as the price goes toward the n price, or vice versa. In various other ways, you can set the rules in advance and divide the quantity according to the established rules. Alternatively, if there is a remaining quantity from the user, information on how to distribute the remaining quantity from the reference price to the order price of the n-quote may be input and distributed according to the input information. Various embodiments may be possible.

According to another embodiment, the control module 110 may perform an order to have an order price of n-quoted prices for all the remaining quantities as an order price, or to have a reference price for all the remaining quantities as an order price. In the former case, it may be an ordering strategy that makes it more likely to be executed, and in the latter case, it may be an ordering strategy that can increase the efficiency of the average execution price.

Of course, the control module 110 may directly select which order strategy to use among the above-described order strategies for the remaining quantity from the user, or may determine the order price for the remaining quantity according to the selected order strategy.

Examples of these are shown in FIGS. 4 to 5.

4 to 5 are diagrams exemplarily showing an order result according to a limit order method according to an embodiment of the present invention.

First of all, referring to FIG. 4, in a situation where the distribution of the ask price remaining amount is as shown in FIG. 4, a limited market price order according to the technical idea of the present invention may be input. The limit market order is n equals 3 and the quantity is 150, and may be a limit market order to perform a buy.

Then, as shown in FIG. 4, the reference price is 100, and the n-quote is 120. In the end, the limited market price order is to execute a market order whose execution price is limited within the range of three quotations including the reference price, and if there are remaining quantities that are not immediately concluded within the range, the remaining quantities are also attempted to execute within the above range. It can be an order.

In this case, if the strategy is to make all the remaining quantities n quotes (e.g., 120) become the order price, the control module 110 first selects the quotes from the reference price (e.g., 100) to n (e.g., 120). The order may be executed so that the market order is executed up to the remaining amounts 50 and 40 and the order has an order price of n (eg, 120) for the remaining quantity (eg, 30).

Then, after the limited market order is placed, the ask price and the ask price balance of the ask price may be as shown in FIG. 5A.

If the remaining quantity is distributed from the reference price to the n price to have an order price, the control module 110 firstly sets the balances 50 and 40 from the reference price (eg, 100) to the n number (eg, 120). Up to 30), the remaining quantity may be divided so that the market order is executed, and the remaining quantity (eg, 30) has an order price ranging from a reference price (eg, 100) to n (eg, 120).

Then, after the limited market order is placed, the ask price and the ask price balance of the ask price may be as shown in FIG. 5B. 5B shows a case in which the remaining quantity is equally distributed to each of the ask prices, but it is not necessary to distribute the remaining quantity evenly, and the remaining quantity can be distributed to each of the ask prices in various ways according to a predetermined rule. An average expert in the technical field of the present invention will be able to easily deduce.

If a strategy to make all the remaining quantities a reference price (e.g., 100) becomes the order price, the control module 110 firstly provides the remaining quotes from the reference price (e.g., 100) to n (e.g., 120). Up to (50, 40, 30), the market order can be executed, and the remaining quantity (eg, 30) may be ordered to have an order price of a reference price (eg, 100).

Then, after the limited market order is placed, the ask price and the ask price balance of the ask price may be as shown in FIG. 5C.

Meanwhile, as described above, the order specification module 120 may adaptively determine n of the limited market price order according to the characteristics of the financial product and/or the quote status at the time of the order.

An example of this will be described with reference to FIG. 6.

6 is a view for explaining a concept of adaptively determining a range of a fastening price through an order according to an embodiment of the present invention.

Referring to FIG. 6, the order specification module 120 learns how the performance of the order result was when n is set for each characteristic and/or quotation status of a financial product through price movement data of a financial product in the past. I can.

The characteristics of financial products can be classified according to various criteria.

In FIG. 6, types of financial products (for example, large stocks (B), mid-cap stocks (M), and small stocks (S)) are classified according to a predetermined standard, and the transaction volume is also classified into five (T1 to T5) according to a predetermined standard. The volatility is also classified into five (C1 to C5) according to a predetermined criterion, and an example of defining the characteristics of a financial product is shown. Of course, as described above, the types of financial products may be classified according to the types of financial products themselves, such as stocks, futures, overseas futures, and options.

In addition, the quotation status is exemplarily illustrated in the case of being classified into 10 different types (eg, A to J) according to a predetermined standard.

However, the characteristics of the financial product may be defined only by some of the criteria such as the type of financial product, transaction volume, and volatility, or additional criteria may be further used.

In addition, the quotation status may be further subdivided or the features may be classified by a smaller number. The classification problem of transaction volume, volatility, or quotation status can be defined as a clustering problem or a classification problem widely used in machine learning, and classification with significant differences can be made through various machine learning algorithms.

When a classification that can define the characteristics of financial products and/or the current quotes is made, learning can be accomplished by measuring the performance of the order result when a different n is applied for each classification.

The performance of the order result may be defined according to how effective the order settlement price was (eg, the closer the reference price was, the higher the score could be given) and/or how high the order settlement rate was. The order execution rate may refer to a rate that is concluded within a predetermined time (eg, 10 minutes, 30 minutes, 1 hour, etc.) with respect to the remaining quantity. Order performance can be measured by indexing the performance of such order results in various ways. Of course, ordering strategies for the remaining quantities are also different from each other, and order performance is measured, and learning can be performed accordingly.

For example, in FIG. 6, at the time point t1, the characteristic of a specific financial product was classified as BT1C2, and the quotation status at that time was classified as a situation of A. In this situation, when n is 4, the order performance is 9 or 3. If the order performance is 10, it can be measured as 9 in the case of 2.

Likewise, at the point of t2, the characteristics of other financial products were classified as MT2C1, and the quoted price at that time was classified as a situation of C. In this situation, when n is 4, the order performance is 8, and when the order performance is 3, the order performance is In the case of 7, it can be measured as 8.

In addition, at the time point t3, another characteristic of the financial product was classified as ST5C5, and the quoted price at that time was classified as a situation of J. In this situation, when n is 4, the order performance is 6, and when it is 3, the order performance is In the case of 7 and 2, it can be measured as 8.

As described above, the order specific module 120 checks the order performance according to n by characteristics of various financial products and/or quotes (and order strategy for the remaining quantity) at various points in the past, based on past data. This can be learned using a predetermined machine learning technique (eg, deep learning, artificial neural network, support vector machine, k-means clustering, etc.). And, through the learning engine obtained as a result of learning, how to set n if the characteristics and/or quotes of the financial products subject to the limited market order at the present time (and/or the ordering strategy for the remaining quantity) It can be judged whether the performance of the order result is high.

Eventually, the order specific module 120 selects n, which is predicted to have good order performance adaptively according to the financial product and/or the current quote, to be ordered, even if the user does not specify n, and is limited by using this. You can specify a market order.

On the other hand, when the control module 110 satisfies a predetermined time condition for the remaining quantity (for example, if the remaining quantity is not signed within a predetermined time), the order for the remaining quantity is canceled or a predetermined volatility condition is set. If satisfied (for example, when the present price has changed from the n-quote price by more than a certain price), by canceling the order for the remaining quantity, the order quantity judged to be unlikely to be concluded may be canceled and a new ordering strategy may be executed.

The limit order method according to an embodiment of the present invention can be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tapes, hard disks, floppy disks, and optical data storage devices. Further, the computer-readable recording medium is distributed over a computer system connected through a network, so that computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention belongs.

Although the present invention has been described with reference to an embodiment illustrated in the drawings, this is only exemplary, and those of ordinary skill in the art will understand that various modifications and other equivalent embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical idea of the attached registration claims.

Claims (14)

In the ordering system,
An order specifying module for specifying a limited market price order limited to n (n is a natural number of 2 or more) asking price for the order quantity for a predetermined financial product; And
Based on the limited market price order specified by the order specification module, the order is executed so that the market price order is executed only within the range of the price n quotes from the reference price. Even in the case, it includes a control module that allows orders to be concluded only up to the above price n,
The control module,
If there is a remaining quantity of the order quantity except for the quantity concluded by market order order execution up to the n-quote range, the remaining quantity is the ask price corresponding to at least one of n quotations from the reference price to the n-quote price. As the order price, or
Limit order system that cancels the order for the remaining quantity.

delete The method of claim 1, wherein the control module,
The remaining quantity is divided into n groups, and each of the divided n groups has n different ask prices from the reference price to n ask prices as an order price.
The method of claim 1, wherein the control module,
With respect to the remaining quantity, the limit order system in which the quotation price of n quotations is used as the order price.
The method of claim 1, wherein the order specification module,
Characteristics of the financial products subject to the limited market price order; or
It characterized in that said n is automatically determined based on the sum of the order quantity and the quoted price remaining from the reference quoted price to the n-quoted price or a quoted price status including a distribution of the quoted price,
The characteristics of the above financial products are:
The limit order system, characterized in that it is determined based on at least one of the classification, transaction volume, and volatility of the financial product.
The method of claim 5, wherein the order specifying module,
Through machine learning, information about the characteristics of past financial products or the status of quotes in the past, and the order result when different ns are applied at this time,
Limit order system for determining the n according to the characteristics of the financial product at the present time based on the learning result.
The method of claim 1, wherein the control module,
For the remaining quantity above,
If the predetermined time condition is satisfied, the order for the remaining quantity is canceled, or
When a predetermined volatility condition is satisfied, the order for the remaining quantity is canceled.
In the order method,
Specifying, by the limit order system, a limited market price order limited to n (n is a natural number of 2 or more) asking price for the order quantity for a predetermined financial product;
The limit order system executes an order so that the market order is concluded only within the range from the standard ask price to the n order price based on the specified limited market order. Even so that the order is made to be signed only up to the price of the n-step; And
If the limit order system has a quantity other than the quantity concluded through market order order execution up to the n-quote range of the order quantity, the remaining quantity is at least one of the n-quote prices from the reference price to the n-quote price. Limit order method comprising the step of canceling the order for the remaining quantity or the quotation price corresponding to the order price.
delete The method of claim 8, wherein the step of performing an order so that the market order order is executed only within a range from the reference price to the n price based on the specified limited market price order,
Wherein the remaining quantity is divided into n groups, and each of the divided n groups has n different ask prices from the reference price to n ask prices as an order price.
The method of claim 8, wherein the step of specifying, by the limit order system, an order for a limited market price order limited to n (n is a natural number of 2 or more) asking price for the order quantity for a predetermined financial product,
And automatically determining the n based on the characteristics of the financial product subject to the limited market price order,
The characteristics of the above financial products are:
The limit order method, characterized in that it is determined based on at least one of the classification, transaction volume, and volatility of the financial product.
The method of claim 11, wherein the limit order method comprises:
Further comprising the step of learning, through machine learning, information about the characteristics of the past financial products and the order result when the different ns at this time are applied,
The step of automatically determining n based on the characteristics of the financial product subject to the limited market price order,
Limit order method for determining the n according to the characteristics of the financial product at the present time based on the learning result.
A computer program installed in a data processing apparatus and stored on a recording medium for performing the method according to any one of claims 8 and 10 to 12.
Processor; And
And a data storage device recording a program executed by the processor,
A data processing system in which the method according to any one of claims 8 and 10 to 12 is performed by the program.

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