KR20180083122A - Financial Information System using patternized stockconclusion data and method thereof - Google Patents

Abstract

Disclosed are a financial information system using pattern conclusion data and a method for the same. The present invention provides a system for capturing a mechanical conclusion pattern in case of an automatic order using a predetermined system that an investor, operating a large amount of money, mainly uses and using the captured information for investment of a financial product and a method thereof. The financial information system using the pattern conclusion data includes: a receiving module for receiving conclusion data of a predetermined item or multiple items of the financial product from a conclusion data providing system; and a control module extracting at least one pattern conclusion data set which is a set of the pattern conclusion data concluded by a predetermined pattern in the conclusion data received by the receiving module. The control module extracts multiple pieces of the conclusion data as the pattern conclusion data set wherein a conclusion amount satisfies a predefined conclusion amount condition or a conclusion interval satisfies a predefined interval condition in the conclusion data.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a financial information system using pattern concatenation data,

The present invention relates to a system and method for analyzing contract data of a financial product, extracting contract data having a specific pattern, and utilizing it for investment.

There may be trends from other investors who operate large amounts of funds as the primary and useful information in investing in financial instruments (eg, stocks).

However, in the market, there is a service that grasps and provides investment trends of institutional investors and foreign investors after a certain period of time (for example, days). However, these services are merely a post- It may not be information indicating whether institutional investors or foreigners are trading with a large amount of funds. In addition, there may be as many investors who operate large amounts of funds even if they are not predetermined investors such as institutional investors or foreigners.

Therefore, if investors who manage a large amount of funds can effectively understand their investment trends, they can be very useful information for investment.

Korean Unexamined Patent Application Publication No. 10-2003-0035828 "Automatic search system for stock tickers, search service providing method, and recording medium recording a program therefor"

The technical problem to be solved by the present invention is to provide a method and apparatus for capturing a mechanical engagement pattern at the time of automatic ordering using a predetermined system mainly used by an investor who operates a large amount of funds and utilizing the acquired information to invest in financial products System and method.

According to another aspect of the present invention, there is provided a financial information system using pattern concatenation data, the system comprising: a receiving module for receiving concatenation data of a specific item or a plurality of items of financial products from a concatenation data providing system; And a control module for extracting at least one pattern concatenated data set that is a set of pattern concatenated data to be concatenated in a predetermined pattern in the data, wherein the control module determines whether the concatenation amount satisfies a pre- And a plurality of concatenated data satisfying a defined interval condition is extracted as the pattern concatenated data set.

The control module can extract a plurality of pieces of fastening data, which have been fastened at a predetermined time interval with the same fastening amount, into the pattern fastening data set.

Wherein the control module extracts a plurality of pieces of fastening data having a constant or constant pattern of fastening amounts or a continuous value corresponding to a natural number multiple of a unit time interval, It is possible to extract a plurality of pieces of fastening data having the same fastening amount or a unit number fastening amount and a fastening amount of a natural number multiple and changing the time interval in which the fastening is performed in a predetermined pattern into the pattern fastening data set.

The control module can rearrange the fastening data using the fastening amount and the fastening time as alignment criteria, and extract the pattern fastening data set based on the re-arranged data.

The control module may exclude from the pattern concatenation data for extracting the pattern concatenation data set, the concatenation data having the pre-defined exception quantity as the concatenation amount from the received concatenation data.

The control module may determine whether each of the extracted pattern set data sets is in progress in a corresponding pattern.

Wherein the financial information system utilizing the pattern concatenation data includes at least one of a pattern concatenation amount that is a sum of concatenation amounts of pattern concatenation data included in at least one pattern concatenation data set for a predetermined time or a pattern transaction amount corresponding to the pattern concatenation amount And a pattern information module for extracting pattern information.

The financial information system utilizing the pattern concatenation data may further include a pattern information module for calculating a pattern concatenating force indicative of the strength of pattern concisions for a predetermined unit time for a specific item.

The financial information system utilizing the pattern concatenation data may further include a service module for calculating pattern ratio information on the ratio of the pattern information to the amount of concatenation or transaction amount of the specific item for a specific item for a predetermined period of time have.

The service module may calculate a ranking based on the pattern information or the pattern ratio information for each of a plurality of items.

The financial information system utilizing the pattern concatenation data may further include a service module that receives a search condition using the pattern information and extracts an item that satisfies the search condition from a plurality of items.

A financial information system utilizing pattern concatenation data for solving the technical problem includes a receiving module for receiving concatenation data of a specific item or a plurality of items of financial products from a concatenation data providing system, A control module for extracting at least one set of pattern concatenation data that is a set of pattern concatenating data to be concatenated in a predetermined pattern among the data, And a pattern information module for calculating a pattern clamping force indicative of the strength per hour, wherein the pattern information module calculates a pattern clamping force by using a sum of clamping amounts per unit time of pattern clamps of the specific item, Sum of the amount of money per unit time Used to compute the clamping force pattern.

According to another aspect of the present invention, there is provided a method of using financial information using pattern concatenation data, comprising the steps of: receiving from a concluding data providing system a financial information system utilizing pattern concatenation data, Extracting at least one pattern concatenated data set, which is a set of pattern concatenated data concatenated in a predetermined pattern, from among the concatenated data received by the financial information system utilizing the pattern concatenated data, Extracting a plurality of pieces of concatenated data satisfying a predetermined concatenation condition or a concatenation condition with a concatenation interval in the concatenation data as the pattern concatenated data set.

The step of extracting at least one of the pattern concatenated data sets may include extracting a plurality of concatenated data having the same concatenation and concatenated at regular time intervals into the pattern concatenated data set.

The step of extracting at least one pattern set data set may include extracting a plurality of sets of pattern data, in which the pattern data is set, And a step of extracting a plurality of pieces of fastening data in which the time intervals of the patterns are changed in a predetermined pattern into the pattern fastening data sets.

Wherein the financial information use method utilizing the pattern concatenation data further comprises the step of reordering the pattern concatenation data set using the concatenation data as an alignment criterion based on the concatenation amount and the concatenation time, At least one extracting step may include extracting the pattern concatenated data set based on the reordered data.

Wherein the financial information use method utilizing the pattern concatenation data is a pattern inserting method in which the financial information system utilizing the pattern concatenating data sets a pattern concatenation amount which is a sum of a concatenation amount of pattern concatenation data included in at least one pattern concatenation data set for a predetermined time, And pattern information including at least one of the pattern transaction amount corresponding to the pattern information.

According to another aspect of the present invention, there is provided a method of using financial information using pattern concatenation data, comprising the steps of: receiving from a concluding data providing system a financial information system utilizing pattern concatenation data, Extracting at least one set of pattern concatenation data that is a set of pattern concatenating data concluded in a predetermined pattern among the concatenation data received by the financial information system utilizing the pattern concatenating data; And calculating a pattern clamping force indicative of an intensity per unit time of pattern clamping, which is a clamping pattern of spells corresponding to the extracted pattern clamping data sets, on the specific item, wherein the step of calculating the pattern clamping force comprises: Of patterns of pattern The pattern clamping force is calculated using the sum of the clamping amounts per unit time or the pattern clamping force is calculated using the sum of the clamping amounts per unit time of the pattern clamps of the specific item.

The above method can be implemented through hardware of a computer program installed in a data processing apparatus and a data processing apparatus capable of executing the computer program.

According to the technical idea of the present invention, by extracting clamping data showing a mechanically specific pattern and utilizing this pattern for investment, in the case of a principal operating a large amount of funds, it is generally possible to automatically order a system (for example, a trading system) Therefore, there is an effect that the customer can refer to the investment trend of the subject in real time and utilize it for his own investment. This can also be related to the likelihood that a rise or fall in stocks will be affected by automatic ordering of such systems in the case of continuous system automatic ordering.

Further, it is also possible to use the set information (e.g., transaction amount, transaction amount, and the like) in the specific item using the set data, that is, the set data, The amount of transaction or the amount of transaction estimated by the automatic ordering of the system), thereby effectively estimating the increase or decrease of the corresponding stock.

Also, by utilizing such pattern information to search for investment items, it is possible to positively utilize pattern information in personalized investment strategies.

BRIEF DESCRIPTION OF THE DRAWINGS A brief description of each drawing is provided to more fully understand the drawings recited in the description of the invention.
FIG. 1 is a view for explaining a schematic configuration of a financial information system utilizing pattern concatenation data according to an embodiment of the present invention.
FIG. 2 is a schematic view for explaining a method of using financial information utilizing pattern concatenation data according to an embodiment of the present invention. Referring to FIG.
FIG. 3 is a diagram showing an example of concatenation data according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating an example of arranging concatenated data to extract a pattern concatenated data set according to an embodiment of the present invention.
FIG. 5 is a view for explaining the patterning state of a specific item according to an embodiment of the present invention.
FIG. 6 is a view for explaining a pattern binding state and service of a plurality of items according to an embodiment of the present invention.
FIG. 7 is a diagram for explaining a concept that pattern information can be utilized for searching for an event in accordance with an embodiment of the present invention.
8 is a view showing a pattern fastening type according to another embodiment of the present invention.
9 shows an example of a bookmark UI according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The present invention is capable of various modifications and various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

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

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise.

In this specification, the terms "comprises" or "having" and the like refer to the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, But do not preclude the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof.

Also, in this specification, when any one element 'transmits' data to another element, the element may transmit the data directly to the other element, or may be transmitted through at least one other element And may transmit the data to the other component. Conversely, when one element 'directly transmits' data to another element, it means that the data is transmitted to the other element without passing through another element in the element.

Hereinafter, the present invention will be described in detail with reference to the embodiments of the present invention with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

FIG. 1 is a view for explaining a schematic configuration of a financial information system utilizing pattern concatenation data according to an embodiment of the present invention.

Referring to FIG. 1, a financial information system (hereinafter, referred to as a 'financial information system') 100 using pattern concatenation data is implemented in order to implement a method of using financial information utilizing pattern concatenation data according to the technical idea of the present invention .

The financial information system 100 can perform the function of extracting the concatenation data having the specific pattern, that is, the pattern concatenation data, using the concatenation data according to the technical idea of the present invention. The pattern concatenation data may mean concatenation data concluded with a marketing method or a sales protocol having a specific pattern, and a plurality of pattern concatenation data may be gathered to form a specific sales pattern.

In particular, the trading pattern to be extracted in the present invention may be a pattern that frequently occurs when a predetermined investor performs system automatic ordering. The reason for extracting the trading pattern that occurs when the automatic ordering of the system is performed is because a subject operating a large amount of investment is likely to utilize automatic ordering using an automated system. Therefore, if pattern matching data corresponding to the sales pattern assumed by the automatic ordering of the system can be extracted, it is possible to relatively accurately grasp the investment trend of the subject who operates a large amount of investment even after a certain period of time and / . And it may be very meaningful to provide this information to investors.

In the present invention, it is presumed that a person who operates a large amount of money is divided and traded in order to relatively reduce the influence on the stock price of a specific item. It can also be assumed that an automatic ordering of the system will be performed to distribute and adjust the trading volume and trading time accordingly.

Further, in the present invention, in the case of automatic ordering of a system, each trading order mainly has a certain amount of sales, that is, a quantity of the fastening or a certain condition (for example, a case in which the fastening amount of several times the unit fastening amount, It can be assumed that there is a characteristic of having.

Further, in the present invention, in the case of system automatic ordering, it can be assumed that there is a characteristic having a constant time interval or a predetermined condition (for example, a time interval of several times of a unit time interval) in order to distribute sales.

Accordingly, the financial information system 100 according to the technical idea of the present invention can implement the technical idea of the present invention by extracting the pattern concatenation data for performing the sale according to this assumption.

The reason for extracting a plurality of concatenated data, that is, a pattern concatenated data set, which is presumed to be automatically ordered by the system, is that when the automatic system buy / sell (sell) of funds is continued more than the number of general investors, We believe the possibility of a price rise (decline) is high. In addition, we believe that the greater the transaction weight and the transaction amount of system automatic order purchase (sale), the greater the possibility of a price rise (drop).

In addition, system automatic ordering can have a tendency to be relatively proportional to the tendency of supply and demand of the institution, and when the automatic system purchase order (sale) of the system continues at a constant price or price range for each item, (Lower than expected).

As a result, extracting and utilizing a pattern-concatenated data set according to the technical idea of the present invention can be a very useful strategy for investment. Hereinafter, the financial product according to the technical idea of the present invention will be described as an example of a stock, but the scope of the present invention is not necessarily limited thereto.

The financial information system 100 may communicate with a predetermined contract data providing system 200 to receive settlement data of a specific item or a plurality of items. One example of the connection data providing system 200 may be an exchange system, a brokerage system, or the like, but the present invention is not limited thereto, and any system capable of providing connection data of the corresponding item may be the connection data providing system 200 .

The financial information system 100 may include a control module 110 and a reception module 120. In addition, the financial information system 100 may further include a pattern information module 130 and / or a service module 140. The financial information system 100 may be a system in which a program installed in a client terminal of a customer and hardware of the terminal are combined and implemented. Alternatively, the financial information system 100 may be a system in which a program installed in a server, to which a predetermined client terminal can access via a network, and hardware of the server are combined and implemented.

1, the financial information system 100 is implemented as a separate physical device from the contract data providing system 200. However, according to an embodiment of the present invention, And may be installed in the engagement data providing system 200.

The financial information system 100 may refer to a logical configuration having hardware resources and / or software necessary for implementing the technical idea of the present invention, The term " apparatus " That is, the financial information system 100 may mean a logical combination of hardware and / or software provided to implement the technical idea of the present invention. If necessary, The present invention may be embodied as a set of logical structures for realizing the technical idea of the present invention. Also, the financial information system 100 may mean a set of configurations separately implemented for each function or role for implementing the technical idea of the present invention. For example, the control module 110, the receiving module 120, the pattern information module 130, and / or the service module 140 may be located in different physical devices, It is possible. The combination of the software and / or hardware constituting each of the control module 110, the reception module 120, the pattern information module 130, and / Configurations located in different physical devices and located in different physical devices may be organically coupled to one another to implement each of the modules.

In this specification, a module may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the module may refer to a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and does not necessarily mean a physically connected code or a kind of hardware. Can be easily deduced to the average expert in the field of the present invention.

The control module 110 may be configured to provide other configurations (e.g., the receiving module 120, the pattern information module 130, and / or the service information) included in the financial information system 100 to implement the technical idea of the present invention. Modules 140, etc.).

In addition, the control module 110 may extract the pattern concatenation data according to the technical idea of the present invention. Extracting pattern concatenated data may mean extracting concatenated data of orders used in a specific sales pattern, that is, pattern concatenation data. Accordingly, the control module 110 may extract a set of concatenation data of orders used in a specific sales pattern, that is, a pattern concatenation data set, by extracting the pattern concatenation data. It is a matter of course that the pattern concatenation data set may be all or part of the concatenation data defining any one of the sales patterns.

The control module 110 may extract the pattern concatenated data set from the concatenation data for a predetermined time. The predetermined time may be set to a default value or may be set by a user.

The receiving module 120 may receive the concatenation data from the concatenation data providing system 200. The receiving module 120 may receive the concatenation data of a specific item or may receive the concatenation data of each of a plurality of items traded in the market. Also, the receiving module 120 may receive the concatenated data defined for a predetermined period of time from the concatenated data providing system 200.

The pattern information module 130 may extract pattern information according to the technical idea of the present invention. The pattern information may be information obtained from the pattern concatenation data set extracted by the control module 110.

The pattern information may include, for example, a sum of the amount of each of the pattern concatenation data included in the pattern concatenated data set, that is, a pattern concatenation amount (pattern transaction amount) that is the amount of concatenations concatenated with the specific pattern corresponding to the pattern concatenation data set have.

The pattern information may include, for example, a pattern transaction amount, which is a sum of transaction amounts of financial products concluded in a specific sales pattern corresponding to a pattern concatenation data set.

Using the pattern information, the service module 140 can calculate various services meaningful to the user. And can provide such services. Providing a service may mean providing various information that can be known by utilizing the pattern information to a user.

For example, the service module 140 calculates pattern ratio information on a ratio of the pattern information (that is, pattern concatenation amount or pattern transaction amount) to the total amount of the specific item or the transaction amount of all the specific items for a specific item can do. Of course, the time to calculate the pattern ratio information may be set by the user.

Such pattern ratio information can be very meaningful information that can be used to determine the ratio of sales through system automatic ordering in a particular individual stock. For example, if the pattern ratio information is high, it means that the ratio of the total transaction amount or the total transaction amount to the purchase amount (sales) through system automatic ordering is high, It can mean a lot of possibilities.

Also, the service module 140 may calculate the ranking based on the pattern ratio information calculated by calculating the pattern ratio information (e.g., the ratio of the pattern transaction amount or the pattern transaction amount) to each of the plurality of items have. That is, it is possible to know an item having a high ratio of sales through system automatic order among a plurality of items, and in such a case, it can be very useful for calculating an item to be traded by a user among new items.

In addition, the service module 140 may provide a service for searching for an item using pattern information. Search for an item using the pattern information may mean that the search condition can be used for the pattern information itself or information (for example, the pattern ratio information as described above) calculated based on the pattern information It may also mean that it can be used as a condition.

In this case, the pattern information according to the technical idea of the present invention, that is, the amount of the assembly and / or the amount of the contracted series assumed to be automatically ordered by the system, can be used to select the items to be traded with the user's own know-how . ≪ / RTI >

For example, an investment strategy customized for each user can be generated by utilizing pattern information in various ways such as an item in which the pattern fastening amount continuously increases, an item in which the pattern ratio information is maintained at a predetermined value or longer, or the like.

FIG. 2 is a schematic view for explaining a method of using financial information utilizing pattern concatenation data according to an embodiment of the present invention. Referring to FIG.

Referring to FIG. 2, the financial information system 100 according to the embodiment of the present invention can receive the binding data of one or more items from the binding data providing system 200 (SlOO).

Then, the financial information system 100 can extract a pattern concatenated data set from the received concatenation data (S120). The financial information system 100 may extract at least one pattern concatenated data set. Each pattern concatenation data set may represent any one of the trading patterns or a trading pattern of any one of the subjects.

In addition, the financial information system 100 may sort the received concatenation data in a predetermined manner to effectively extract the pattern concatenation data set (S110). A method of extracting a pattern concatenated data set through such an arrangement will be described later with reference to FIG.

Then, the financial information system 100 can extract the above-mentioned significant information, such as pattern information, from the pattern concatenation data set (S130). The pattern information may include a total transaction amount traded in the corresponding transaction pattern, that is, a pattern transaction amount or a total transaction amount traded in the corresponding transaction pattern, that is, a pattern transaction amount.

As described above, when the pattern information is extracted, the financial information system 100 can provide various services to the users.

FIG. 3 is a diagram showing an example of concatenation data according to an embodiment of the present invention. FIG. 4 is a diagram illustrating an example of arranging concatenated data for extracting a pattern concatenated data set according to an embodiment of the present invention.

Referring to FIG. 3 and FIG. 4, the transaction data received from the transaction data providing system 200 by the financial information system 100 may be as shown in FIG.

As shown in FIG. 3, the fastening data may include a fastening amount, a fastening time, and a fastening price for each fastening gun. As shown in FIG. 3, in general, the fastening data may be arranged according to the fastening time.

It may not be easy to extract the fastening data having the specific pattern, that is, the pattern fastening data, only with the fastening data as shown in FIG. Therefore, the financial information system 100 according to the technical idea of the present invention can more easily extract pattern concatenation data by arranging the concatenation data in a predetermined manner. The pattern engaging data may be individual engaging data that satisfies a predetermined engaging amount condition or satisfies a predetermined spacing condition.

One such example is shown in Fig.

The data shown in FIG. 4 is an example in which the fastening data shown in FIG. 3 is arranged based on the fastening amount. As shown in FIG. 4, the financial information system 100 can arrange fastening data in order of a small value based on the fastening amount, but it is needless to say that they can be arranged in order of a large value. In addition, FIG. 4 shows an example in which the fastening amount is set as the first alignment condition and the fastening time is arranged as the second alignment condition.

When the fastening data is sorted on the basis of the fastening amount in this manner, it is possible to easily extract the individual fastening data satisfying the fastening amount condition in which the fastening amount is constant among the individual fastening data.

For example, as shown in FIG. 4, the condition for the amount of the pattern concatenation data to be extracted by the financial information system 100 may be a condition having the same amount of concatenation. Then, the individual fastening data having the same fastening amount (for example, 24) can be temporarily selected.

In addition, the financial information system 100 may determine whether the temporarily selected individual contracted data satisfies a predetermined interval condition. The interval condition may be a condition for an interval of a fastening time corresponding to individual fastening data (for example, the second individual fastening data to the fifth individual fastening data shown in FIG. 4).

As shown in FIG. 4, temporarily selected individual fastening data (for example, second to fifth individual fastening data) can be sequentially noticed when the interval of the fastening time is 15 seconds. That is, it can be seen that the interval conditions are the same time interval. In this case, the financial information system 100 may extract the individual contracted data (for example, the second to fifth individual contracted data) into a pattern contracted data set.

As described above, the financial information system 100 can extract, as pattern concatenation data, individual concatenated data in which the amount of the concatenation satisfies a predetermined concatenation condition or the interval of the concatenation time satisfies a predetermined interval condition.

FIG. 4 shows an example where the fastening amount conditions are the same number of fastening amounts, and the interval conditions are the same time intervals. In addition, FIG. 4 shows an example of extracting with pattern concatenation data when the fastening amount condition and the spacing condition are satisfied.

However, according to the embodiment, the condition of the fastening amount may not be the same number but may be a condition having a predetermined multiple (for example, a natural number such as 2 times or 3 times) in comparison with a predetermined unit number (unit fastening amount). This is because, when the automatic ordering of the system is performed, the automatic ordering may be performed to increase the amount of the transaction to be traded at a specific time, and in this case, generally, a certain multiple of the unit setting amount is output at the specific time.

Therefore, the condition for the amount of the pattern concatenation data extracted by the financial information system 100 according to the embodiment of the present invention may be a condition in which the amount of the pattern is the same or the amount of patterning has a natural multiple of the predetermined unit pattern.

Similarly, the interval condition extracted by the financial information system 100 may be a condition to be concluded at the same time interval, but may be a interval having a natural number multiple of a predetermined unit interval. In this case, the automatic ordering algorithm may control the amount of tightening when the desired amount of tightening is to be adjusted at a specific time, but there may be a case where the tightening interval is adjusted. In this case, This is because it is possible to control the number of times of the unit time interval.

On the other hand, in the present invention, a certain error may be allowed when determining the time interval between individual engagement data. This is because not only may the timers be different for each system processing the order, but also the time at which each order is processed may differ. For example, pattern engagement data extracted as shown in FIG. 4 may satisfy the case where each time interval is 15 seconds, but in the case of individual engagement data having a time interval such as a constant error such as 14 seconds or 16 seconds, It can be treated as satisfying the condition. Of course, the sales through the system automatic ordering can generally be defined as the outputting of the market order, that is, the characteristics in the case where the order is concluded when the order is outputted, and the interval condition can be defined.

Further, the fastening amount condition may not be a predetermined multiple but may be a condition having another rule. For example, such a rule may be a rule in which the amount of engagement increases by a certain number (e.g., 1 or a predetermined number).

Or the case where the fastening amount has a continuous number may be the fastening amount condition. That is, in such a case, it may be determined that the automatic ordering of the system by the same subject has a certain time interval (or within a certain error range with respect to a predetermined time interval) .

Such an example may be as shown in FIG.

8 is a view showing a pattern fastening type according to another embodiment of the present invention.

FIG. 8 shows an example of analyzing the settlement data generated in the actual market. Referring to FIG. 8, the individual settlement data indicated in red are time intervals of 07:40 seconds or 07:39 seconds , And the amount of fastening in the individual fastening data at the upper end is 35 and the fastening amount in the individual fastening data at the lower end is 34. [

Also, the individual fastening data shown in blue is the case where the interval condition is 15:18 seconds or 15:19 seconds which is twice the 07:39 seconds.

In this case, in the system according to the technical idea of the present invention, the individual fastening data indicated by red and blue are consecutive numbers of 35 and 34 when the interval condition is satisfied, so that it is highly likely that the system is automatically ordered by the same subject It can be judged.

That is, when the gap condition is satisfied, there is a case where the system outputs automatic order while changing the amount of the fastening even if it is not the same fastening amount.

Therefore, when the gap condition is satisfied, the coupling amount condition may be determined to be a system automatic order carried out by the same subject even in the case of a close number such as a consecutive number (for example, 35, 34).

Meanwhile, although FIG. 4 shows an example in which the fastening amount reference is used as a priority sorting criterion and the fastening time is used as the next sorting criterion, the fastening time is used as an alignment reference, (E.g., second through fifth individual concatenated data) of the pattern concatenated data, that is, a pattern concatenated data set (e.g., second through fifth individual concatenated data).

In the embodiment of FIG. 4, the extracted pattern engraving data set may be a set of individual engraving data concluded with the same engaging amount (for example, 24) and the same time interval (for example, 15 seconds).

In this case, the pattern information module 130 of the financial information system 100 extracts a pattern concatenation amount (e.g., 24 * 5 = 120) and / or a pattern transaction amount (e.g., 1000 * 24 + 24 + 1100 * 24 + 1150 * 24 = 103,200) can be extracted as the pattern information.

Meanwhile, when the control module 110 included in the financial information system 100 extracts the pattern concatenation data, the individual concatenation data having the predetermined concatenation amount (exception quantity) may be excluded from the pattern concatenation data to be extracted . This is to reflect the presence of commonly used numbers, such as 1, 2, 3, 4, 5, or a multiple of 10 or 10, in general, When extracting pattern concatenation data excluding individual concatenation data having such an exception amount, it is possible to extract pattern concatenation data (pattern concatenation data set) more efficiently.

In addition, the control module 110 may determine whether each of the extracted pattern combination data sets is in progress in a pattern corresponding to the selected pattern combination data set. That is, it can be determined whether the fastening is still proceeding with the pattern or whether the fastening is proceeding with the pattern. This can be determined by determining whether individual engagement data corresponding to the pattern continuously exists even after the interval condition corresponding to the extracted pattern engagement data set. Then, whether or not the pattern is progressed is provided to the user, so that the user can determine whether the system automatic order continuously affects the corresponding item.

Embodiments to which such a technical idea is applied will be described with reference to FIGS. 5 to 7. FIG. 5 to 7, a pattern clamping data set extracted in the above-described manner, that is, a pattern presumed to be a system automatic order, is represented by X-clamping.

FIG. 5 is a view for explaining the patterning state of a specific item according to an embodiment of the present invention.

Referring to FIG. 5, FIG. 5 shows the state of pattern concatenation corresponding to each pattern extracted from a specific item. Each of the fastening states shown in FIG. 5 shows one pattern fastening data set, that is, a state of one pattern.

Each column in the table shown in Fig. 5 may have the following meaning.

For example, the X fastening represents the amount of fastening of the extracted pattern, the first time represents the first fastening time of the pattern fastening data corresponding to the extracted pattern, and the end time represents the final fastening time of the pattern fastening data corresponding to the extracted pattern, The time interval and the number of times between each pattern concatenation data may indicate the number of pattern concatenation data included in the pattern concatenation data set.

In addition, the amount of fastening can be expressed as a positive or negative number as shown in FIG. 5, and a positive number indicates a number of copies, and a negative number indicates a selling pattern.

As shown in FIG. 5, it can be seen that a plurality of patterns, that is, a plurality of pattern concatenated data sets, can be extracted for any one item. The user can check the status of the pattern conclusion and understand the status of the sales through the automatic ordering of the system of the corresponding stock, and can make investment with reference to this.

Further, as shown in FIG. 5, information on the pattern fastening state according to the technical idea of the present invention may include information on the pattern fastening force (X fastening force per minute).

The pattern fastening force may be an index indicating the strength of pattern fastening to the price of the item for a predetermined time. In FIG. 5, the predetermined time may be a minute, and a reference time for calculating a pattern clamping force according to an embodiment may be variously set.

The method of calculating the pattern clamping force according to the embodiment of the present invention may be as follows.

For example, it can be assumed that the pattern concatenated data set extracted from a predetermined item A is as follows.

- Pattern fastening data set 1: Number of fastening quantity 10, Time interval 2 minutes

- Pattern clamping data set 2: Number of clamps 15, Time interval 3 minutes

- Pattern closure data set 3: Sold-out quantity 20, Time interval 4 minutes

In this case, it is not easy to intuitively grasp the influence of the entire pattern concatenated data sets (pattern concatenated data sets 1 to 3) on the A stock because each pattern concatenated data set has a different clamping amount and a different interval .

Therefore, according to the embodiment of the present invention, the influence of such pattern-concatenated data sets on the corresponding item can be standardized. For example, when the standardization is performed with the index per minute, the fastening amount per minute of the pattern fastening data set 1 is +5, the fastening amount per minute of the pattern fastening data set 2 is +5, and the fastening amount per minute of the pattern fastening data set 3 is -5 Can be expressed.

In this case, the pattern binding force for item A can be determined as 5 + 5 -5 = 5.

As a result, according to one embodiment, the pattern engaging force may be determined using the sum of the engaging amounts per unit time (e.g., minutes) of each pattern engaging data set of the corresponding item. For example, the pattern clamping force of 5 means that the pattern clamping per minute is followed by a 5-week cycle.

Let's assume another example.

For example, it can be assumed that the pattern concatenated data set extracted from a predetermined item B is as follows.

- pattern fastening data set 1: number of fastening 45, time interval 1.5 minutes

- Pattern clamping data set 2: Sold-out quantity 27, Time interval 3 minutes

- pattern clamping data set 3: number of clamping screws 55, time interval 5 minutes

In this case, the pattern clamping force can be calculated as 30-9 + 11 = 32 as in the case of the above-mentioned embodiment A. That is, the pattern binding force of the item B can be 32. This may mean that the pattern is tightened per unit time (for example, 1 minute), and the number of sheets is continuously tightened for 32 weeks.

In the examples of the pattern fastening forces of the A-stock and B-stocks, it can be seen that the B-stocks are stronger in pattern engaging force than the A-stocks. This is because the characteristic of pattern fastening is that orders are continuously flowed over a certain period of time, so it is highly probable that the current price of the item B will move more strongly and stably than the item A.

If we extend this technological idea to all items, we can list the items that have the strongest pattern conclusion in the present time intuitively through pattern clamping force value, so that we can catch the items that are expected to be the strongest by the pattern conclusion , And can trade.

On the other hand, although only the fastening amount by the pattern fastening is considered as the above-mentioned pattern fastening force, other embodiments may be possible for indicating the influence or the strength of the pattern fastening on the specific item.

For example, when simply summing up the sum of the tightening amounts per unit time of a specific item, the price at which the order corresponding to each tightening data is concluded, that is, the closing price is not reflected. For example, if a pattern is tightened at a low price and a pattern is tightened at a high price, a pattern with a relatively high amount of pattern is not strong enough to intend to trade. However, if the pattern tightening power is represented only by the sum of the amount of fastening by pattern fastening per unit time of a particular item, it may not be reflected.

Therefore, according to another embodiment of the present invention, the pattern clamping force may be represented by a clamping amount (clamping amount x clamping force) through pattern clamping per unit time. Of course, in the case of a sell order, the contract amount can also be expressed as having a negative value.

As a result, the pattern clamping force can be expressed by various indexes indicating the degree of the pattern clamping per unit time in a specific item. The degree of the pattern clamping entirely depends on the sum of clamping amounts of the pattern clamping, And so on. Of course, after calculating the sum of the total amount of fastening of the pattern fastening and the sum of fastening amounts of the entire pattern fastening, a predetermined additional calculation (for example, an index obtained by standardizing based on the number 1, And the like) can be defined as a pattern-building power.

FIG. 6 is a view for explaining a pattern binding state and service of a plurality of items according to an embodiment of the present invention.

As shown in FIG. 6, the financial information system 100 can extract (calculate) the pattern congruence state of each of a plurality of items and provide it to a user. As shown in FIG. 6, the pattern integration state of each item may include pattern information for each item, that is, a pattern combination amount (X transaction amount) and / or a pattern transaction amount (X transaction amount). In addition, pattern ratio information (X specific gravity) as described above may be included. The pattern ratio information may be a pattern combination amount with respect to the total transaction amount of the item or may be a proportion of the pattern transaction amount with respect to the total transaction amount of the item. Also, the number of patterns (X number of patterns) extracted from each item may be further included in the pattern state, and it may further include whether each pattern is continuously being processed. It is needless to say that the validity pattern indicates a pattern still in progress, and the invalidation pattern may indicate a pattern that has already been completed.

Also, the financial information system 100 may provide UIs (for example, 10 to 15) as shown in FIG. 6 to set the conditions for a pattern to be extracted or the information on pattern integration states to a setting desired by the user .

For example, the first UI 11 may be a UI for extracting only a number of times, that is, a pattern in which the number of pattern concatenation data included in the extracted pattern concatenation data set is equal to or greater than the number input to the first UI 11. [

The second UI 12 may be a UI for setting an interval for updating the pattern connection state.

Also, the third UI 13 may be a UI for setting criteria for sorting the respective events and the pattern state of the respective items as shown in FIG. FIG. 6 shows an example of sorting based on the pattern transaction amount (X transaction amount). In FIG. 6, the first and second columns show an example in which the items set by the user as the item of interest and the pattern state of the items are shown. That is, the financial information system 100 may set a predetermined item as an item of interest and allow the user to easily confirm the pattern state of the item set as the item of interest. Also, by providing the rankings of a plurality of items as shown in FIG. 6 by utilizing predetermined pattern information, there is an effect that a user can easily select an item to be traded.

In addition, according to the technical idea of the present invention, it is possible to more effectively provide a pattern conclusion state for an item of interest separately from that shown in Fig. Such an example will be described with reference to FIG.

9 shows an example of a bookmark UI according to an embodiment of the present invention.

As shown in FIG. 9, the financial information system 100 can provide a pattern conclusion state of a favorite item (bookmark) selected by a user through a separate UI (e.g., a window as shown in FIG. 9) have.

Also, as shown in FIG. 9, it is possible to provide a pattern concatenation status at the time point marked with a bookmark and a pattern concatenation status at a current point (for example, a time point when a request for confirmation of the pattern concatenation status of a bookmarked item is made) Can be done.

In the case of showing the pattern conclusion at the time marked with bookmark and the pattern conclusion at the present time, the user can easily infer the direction and speed of the price change of the corresponding item through the pattern conclusion state at each point .

Referring again to FIG. 6, the fourth UI 14 may be a UI for setting a time for extracting a pattern according to the technical idea of the present invention.

In addition, the fifth UI 15 may be a UI that indicates the pattern conclusion status (e.g., pattern transaction amount, etc.) of the entire market. The pattern of market conglomerates can also be very meaningful information for predicting and determining market strength and direction.

For example, at a certain point in the early part of the first half, if the net buying sum of the pattern contract is negative, it can be known that the pattern inflow of the foreign investors is net selling, and if this value gradually increases, It can be expected that the index will go up to the end of the trading day. If the downward trend is more gradual and the decline in the price falls, the index may be judged to be a bad situation to strengthen the downward trend. Therefore, the pattern concluded state of the whole market (for example, the pattern transaction amount) may also be meaningful information that a user can refer to in investing.

FIG. 7 is a diagram for explaining a concept that pattern information can be utilized for searching for an event in accordance with an embodiment of the present invention.

7, the financial information system 100 according to the embodiment of the present invention may use pattern information itself (for example, a pattern transaction amount (X transaction amount), a pattern transaction amount (X transaction amount)) as a search condition, Information on the basis of the information (for example, pattern ratio information (X specific gravity)) can be used to perform the item search. For this, a UI as shown in FIG. 7 can be provided. Also, as shown in FIG. 7, the financial information system 100 may further utilize the number of extracted patterns and / or the progress of the extracted pattern (valid or invalid) as search conditions for item search.

Thus, according to the technical idea of the present invention, it is possible to find or capture an item using a new condition that can not be searched by the conventional HTS.

In addition, the predetermined program for implementing the financial information system according to the technical idea of the present invention may be installed separately from the HTS installed in the client terminal, or may be installed in the HTS and operate as a single function of the HTS.

The method of using financial information using pattern concatenation data according to an embodiment of the present invention can be implemented as a computer readable code on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, hard disk, floppy disk, optical data storage, and the like. In addition, the computer-readable recording medium may be distributed over network-connected computer systems so that computer readable codes can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

Claims (19)

A receiving module for receiving concatenation data of a specific item or a plurality of items of the financial product from the concatenation data providing system;
And a control module for extracting at least one set of pattern concatenated data, which is a set of pattern concatenated data concatenated in a predetermined pattern among the concatenated data received by the receiving module,
The control module includes:
And a plurality of pieces of concatenation data in which a concatenation amount satisfies a predefined concatenation condition or a concatenation interval satisfies a predefined spacing condition is extracted as the pattern concatenation data set in the concatenation data. system.
The apparatus of claim 1,
Wherein the pattern matching data is used to extract a plurality of pieces of fastening data having the same fastening amount and fastened at a predetermined time interval with the pattern fastening data set.
The apparatus of claim 1,
Extracting a plurality of pieces of fastening data corresponding to a natural number multiple with respect to a time interval at which the fastening is performed or having a constant or constant pattern or a continuous value,
Wherein the pattern fixing data is used to extract a plurality of fastening data having the same fastening amount or a fastening amount of a natural number of times larger than the unit fastening amount and changing the time interval in which the fastening is performed in a predetermined pattern.
The apparatus of claim 1,
And the pattern matching data for extracting the pattern concatenated data set based on the rearranged data is utilized.
The control module according to claim 2 or 3,
Wherein the transaction data having a pre-defined exception quantity as the transaction amount is excluded from the pattern transaction data for extracting the pattern transaction data set from the received transaction data.
The apparatus of claim 1,
And using the pattern concatenation data for determining whether or not the concatenation of the extracted pattern concatenation data sets is progressing in the pattern corresponding to each other.
The system of claim 1, wherein the financial information system utilizing the pattern concatenation data comprises:
And a pattern information module for extracting pattern information including at least one of a pattern insertion amount that is a sum of the amount of pattern insertion data included in at least one pattern insertion data set for a predetermined time or a pattern transaction amount corresponding to the pattern insertion amount A financial information system that utilizes pattern concatenation data.
The system of claim 1, wherein the financial information system utilizing the pattern concatenation data comprises:
And a pattern information module for calculating a pattern engaging force that indicates the strength of pattern engaging for a predetermined unit time with respect to a specific item.
8. The system according to claim 7, wherein the financial information system utilizing the pattern concatenation data comprises:
And a service module for calculating pattern ratio information on a ratio of the pattern information to the total amount of the specific item or transaction amount for the specific item for a predetermined period of time.
The method of claim 9,
And utilizing pattern concatenation data for calculating a ranking based on the pattern information or the pattern ratio information for each of a plurality of items.
8. The system according to claim 7, wherein the financial information system utilizing the pattern concatenation data comprises:
And a service module that receives a search condition using the pattern information and extracts an item that satisfies the search condition among a plurality of items.
A receiving module for receiving concatenation data of a specific item or a plurality of items of the financial product from the concatenation data providing system;
A control module for extracting at least one pattern concatenated data set that is a set of pattern concatenated data concatenated in a predetermined pattern among the concatenated data received by the receiving module; And
And a pattern information module for calculating a pattern engage force indicating a strength per unit time of pattern concatenation, which is a pattern of engagements of orders corresponding to the extracted pattern engage data sets, on the specific item,
Wherein the pattern information module comprises:
Calculating a pattern clamping force by using a sum of clamping amounts per unit time of the pattern clamps of the specific item or calculating a pattern clamping force using a sum of clamping amounts per unit time of pattern clamps of the specific item; Financial information systems to be utilized.
The method comprising: receiving from a contract data providing system a financial information system utilizing pattern concatenation data, concluding data of a specific item or a plurality of items of a financial product;
And a step of extracting at least one set of pattern concatenated data, which is a set of pattern concatenated data concatenated in a predetermined pattern, from among the concatenated data received by the financial information system utilizing the pattern concatenated data,
Wherein the step of extracting at least one pattern set data set comprises:
And a plurality of pieces of concatenation data in which a concatenation amount satisfies a predefined concatenation condition or a concatenation interval satisfies a predefined spacing condition is extracted as the pattern concatenation data set in the concatenation data. How to use.
14. The method of claim 13, wherein extracting at least one pattern set data set comprises:
And extracting a plurality of pieces of fastening data having the same fastening amount and fastened at a predetermined time interval with the pattern fastening data set.
14. The method of claim 13, wherein extracting at least one pattern set data set comprises:
A plurality of pieces of fastening data in which a fastening amount is changed in a constant pattern while a time interval at which the fastening is performed is extracted by the pattern fastening data set or a plurality of fastening data sets having the same fastening amount, And extracting the data with the pattern concatenation data set.
14. The method according to claim 13, wherein the financial information use method utilizing the pattern concatenation data comprises:
Wherein the financial information system utilizing the pattern concatenation data further comprises the step of rearranging the concatenation data using the concatenation amount and the concatenation time as an alignment criterion,
Wherein the step of extracting at least one pattern set data set comprises:
And extracting the pattern concatenated data set based on the reordered data.
14. The method according to claim 13, wherein the financial information use method utilizing the pattern concatenation data comprises:
Wherein the financial information system utilizing the pattern concatenation data includes at least one of a pattern concatenation amount that is a sum of concatenation amounts of pattern concatenation data included in at least one pattern concatenation data set for a predetermined time or a pattern transaction amount corresponding to the pattern concatenation amount And extracting pattern information from the pattern information.
The method comprising: receiving from a contract data providing system a financial information system utilizing pattern concatenation data, concluding data of a specific item or a plurality of items of a financial product;
Extracting at least one pattern concatenated data set, which is a set of pattern concatenated data concatenated in a predetermined pattern among the concatenated data received by the financial information system utilizing the pattern concatenated data; And
And calculating a pattern clamping force indicative of the strength per unit time of pattern concatenation, which is a pattern of concatenation of orders corresponding to the pattern clamping data sets from which the financial information system utilizing the pattern clamping data is extracted,
The step of calculating the pattern clamping force includes:
Calculating a pattern clamping force by using a sum of clamping amounts per unit time of the pattern clamps of the specific item or calculating a pattern clamping force using a sum of clamping amounts per unit time of pattern clamps of the specific item; How to use financial information.
A computer program installed in a data processing apparatus and recorded in a medium for performing the method according to any one of claims 13 to 18.

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