KR101971087B1 - Displaying method for market sentiment index information and online stock dealing service system - Google Patents

Abstract

The present invention analyzes big data collected during a predetermined period (T) and detects a market psychological index (MSI) and a psychological level for each item. When the HTS server provides information according to a request from a connected client, (MSI) and psychological level as well as related information, it is possible to improve the reliability of service and information transmission by investing smartly by using market psychology, Level and level information to clients connected through a stock price table to provide investors with various information in a simple and easy manner. The body can be formed in a circular shape and determined in proportion to the size of market psychological index (MSI) And a connection line which is connected to the right or left side of the body and whose length is determined according to the degree of fluctuation of the psychological level That by providing MSI chart using the MIS candle to investors about online stock trading service system with detailed information such as size, degree of fluctuation and flow of market sentiment for a particular item can simply browse through the MSI chart.

Description

[0001] The present invention relates to a method of displaying a market psychological index and an online stock trading service system using the same,

The present invention relates to a method of displaying a market psychological index and an online stock trading service system using the same, and more particularly, to collecting and analyzing big data for each stock, detecting market sentiment index (MSI) The present invention relates to a market psychological index display method and a online stock trading service system using the market psychological index display method,

Recently, as the Internet infrastructure has expanded and the digital device industry has developed, an online stock trading service system such as a home trading system (HTS) has been widely used by investors.

Typically, an online stock trading service system processes information related to stocks (such as quotes, stock price, quotation quantity, transaction amount, purchase amount, sales amount, etc.) at the request of the connected user and provides information Provides brokerage services that provide brokerage services, brokerage, brokerage, and settlement services.

Generally, the user selects one of various online stock trading service systems distributed on the market considering various factors such as convenience of use, kind of provided information, chart display method, and trading procedure .

However, in the conventional online stock trading service system, most of the systems are similar, and the display methods such as the types of information that can be provided and tables and charts for providing information are similar. This is an urgent issue.

In recent years, various studies have been conducted on a big data analysis system for detecting useful information from a large amount of digital data due to the remarkable development of IT technology, the activation of social network service (SNS), and the mobile revolution represented by a smart phone However, the conventional stock trading service system has a structural limitation in that it does not provide useful information detected by utilizing big data or large data.

That is, the conventional stock trading service system provides various stock related information that can be used for stock trading, but it has a structural limitation that it can not provide useful information detected from the big data.

In particular, the market psychology index (MSI) has characteristics that can represent the mood and flow within the market, which is characterized by strong and weak markets. This market psychology index (MSI) can be detected from various big data, There is no research on techniques and methods to provide market psychology index by utilizing.

FIG. 1 is an exemplary view showing a stock price list widely used in a conventional online stock trading service system.

The stock price index table 100 of FIG. 1 is a table provided in a conventional online stock trading service system, and stock related information is sorted and displayed according to stock indexes. In this case, the information related to the stock may include a selling price, a buying price, a base price, an unfavorable rate, a change rate, a face value, a market price, an closing price,

That is, the conventional online stock trading service system can provide stock-related information, such as transaction volume information, transaction type, sell price, purchase price, and the like, necessary for stock trading, through the stock price table 100.

However, such a conventional stock price table 100 has a disadvantage in that efficiency of providing information is inferior because it utilizes only stock transaction basic information provided from a stock exchange.

FIG. 2 is a block diagram illustrating a stock trading device disclosed in Korean Patent Laid-Open No. 10-2015-0040014 (entitled "Stock Trading Device Using W-Chart Trading Method and Method").

The stock trading apparatus 200 of FIG. 2 includes a search unit 210, a chart generating unit 220, an operation unit 230, and a display unit 240.

The search unit 210 searches for a stock item for generating a variation trend chart and searches for a stock item having an operation result value of the operation unit 230 as well as searching for stock items for chart generation.

The chart generating unit 220 receives the transaction information such as the previous day's closing price, the highest price and the lowest price of the stock item in the securities company server or the management server with respect to the searched stock item, and generates a change trend chart (W-chart).

The calculating unit 230 calculates the number of distributions of apiculture and apical peaks included in at least one upper limit reference point and a lower limit reference point preset for the candle.

The display unit 240 displays the generated variation trend chart and the calculation result of the calculation unit on the screen.

The conventional technology 200 configured as above has the advantage that significant information necessary for stock trading can be provided by providing a candle chart that reflects a range of gap rise or gap decline on the same day as the previous day's closing price of stocks.

However, since the conventional technique 200 provides information on the number of distributions of apiculture and apical peaks included in a predetermined upper limit reference point and a lower limit reference point, it has structural limitations that can not provide useful information generated from various big data.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and system for analyzing big data collected during a predetermined period (T), detecting a market psychological index (MSI) When providing information according to client's request, it can be configured to provide not only the existing stock information but also the detected market psychology index (MSI) and psychological level, so that investors can make smart investments by utilizing market psychology And to provide a market psychological index display method and an online stock trading service system using the same, which can improve the service reliability and efficiency of information transmission.

Further, another object of the present invention is to provide an online stock market in which investors can view stock price table information by displaying psychological level and level information on a stock price table, To provide a transaction service system.

Further, another object of the present invention is to provide a method and apparatus for measuring a psychological level, comprising a body formed in a circular shape and having a diameter determined in proportion to a size of a market psychological index (MSI), a body connected to the right or left of the body, MSI chart using MIS candle which is composed of connecting line, so that investors can easily view detailed information such as size, degree of fluctuation and flow of market psychology index of a specific item through an MSI chart. .

According to an aspect of the present invention, there is provided a method for collecting data on a large data analysis server, the method comprising: A market psychological index detecting step of analyzing big data collected by the big data collecting step using the predetermined analysis algorithm by the big data analysis server and detecting a market psychological index (MSI) for each item; A loading step of loading stock trading basic information, which is information on various securities traded through the stock market, by the HTS server; A stock related information generation step of causing the HTS server to convert stock trading basic information by the loading step into stock related information which is information of a predetermined category; An information request receiving step, which is performed when the HTS server receives information from a user and receives request data input by a user; The HTS server searches for stock related information generated by the stock related information generating step, extracts stock related information and market psychological index corresponding to the request data received by the information request receiving step, step; A processing step of the HTS server converting the stock related information and the market psychology index processed by the data extraction and processing step into a table or a chart; Wherein the HTS server provides a table or chart processed by the processing step to the connected user, wherein the market psychological index detection step is performed in such a manner that the big data analysis server detects the market psychological index based on the range of the market psychological index (MSI) Detecting a psychological level corresponding to a detected market psychological index (MSI) using a reference table matched with a psychological level, and the data extracting and processing step is performed on the request data received by the HTS server Related information, a market psychology index, and a psychological level, and the processing step extracts the stock related information, the market psychological index, and the psychological level processed by the HTS server by the data extraction and processing step, Wherein the step of processing the MSI chart further comprises the step of processing the MSI chart, The MSI chart is made up of a graph in which the X axis is a period (T), the MSI candle indicating the market psychological index is displayed in line with the X axis The MSI candle is formed in a shape whose diameter is proportional to the size of the market psychology index and is displayed as a first color when the psychological level is higher than the previous period and a second color when the psychological level is lower than the previous period, A body represented by a third color if the previous period and the psychological level are the same; The length is determined according to the degree of difference of the psychological level with the previous period, and when the psychological level is higher than the previous period, it is connected to the right side of the body. If the psychological level is lower than the previous period, And a connection line that is not formed if the psychological level is the same as the previous period.

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Further, in the present invention, the processing step may further include a stock price table processing step, and the stock price table processing step may include a step of processing the stock related information and the market psychology index processed by the data extracting and processing step using the stock name, It is desirable to convert the stock price to the price level at which psychological level fluctuation information and stock-related information are displayed.

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According to the present invention having the above-described problems and solutions, the Big Data collected during a predetermined period (T) is analyzed to detect the MSI and psychological level for each item, and the information according to the request of the client connected to the HTS server (MSI) and psychological level as well as existing stock-related information, it is possible to invest smartly by utilizing the market psychology of the investors. It is possible to increase the efficiency of the system.

According to the present invention, the psychological level and the level change information are provided to the clients connected through the stock price table, so that the investor can easily and easily receive various information.

According to the present invention, there is provided a mobile terminal comprising a body formed in a circular shape and having a diameter determined in proportion to a size of a market psychological index (MSI), and a connection line connected to the right or left side of the body, By providing MSI charts using MIS candles, investors can easily view detailed information on the size, amount of fluctuation, and flow of the market psychology index of a particular item through the MSI chart.

FIG. 1 is an exemplary view showing a stock price list widely used in a conventional online stock trading service system.
FIG. 2 is a block diagram illustrating a stock trading device disclosed in Korean Patent Laid-Open No. 10-2015-0040014 (entitled "Stock Trading Device Using W-Chart Trading Method and Method").
3 is a block diagram illustrating an online stock trading service system according to an embodiment of the present invention.
4 is a block diagram illustrating the HTS server of FIG.
5 is an exemplary diagram showing a stock price table generated by the stock price table processing unit of FIG.
6 is an exemplary diagram showing an MSI chart generated by the stock price table processing unit of FIG.
7 is a flowchart showing a method of displaying market psychological index information in the present invention.

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

3 is a block diagram illustrating an online stock trading service system according to an embodiment of the present invention.

As shown in FIG. 3, an online stock trading service system 1 according to an embodiment of the present invention includes a stock exchange server 5 for generating stock related information related to a stock market, A big data analysis server 6 for analyzing the big data collected and then calculating the market psychology index and the grade level, the stock related information transmitted from the stock exchange server 5 and the big data analysis server 6, The HTS server 3, the stock exchange server 5, and the server 5 for processing and using the index and grade level information and providing response data according to the request of the connected client 7 through tables and charts, And a communication network 10 for supporting data communication between the big data analysis server 6 and the client 7.

In the present invention, for convenience of explanation, the big data analysis server 6 has analyzed the big data and separately detected the market psychological index (MSI) and the grade level. However, such big data analysis and calculation processing And may be configured to be performed by the HTS server 3 itself.

The communication network 10 provides a data movement path between the HTS server 3, the stock exchange server 5, the big data analysis server 6 and the client 7, and specifically includes a local area network (LAN) A wired / wireless network such as a communication network (WAN), a mobile communication network, 3G, LTE, and the like.

The stock exchange server 5 is a server which generates various indexes and signals by generating, processing or analyzing stock trading basic information such as a Korea Stock Exchange or a KOSDAQ server, to be.

At this time, the basic information of stock trading is basic information of stock transaction such as date, current price, personal supply and demand status, foreigner supply and demand status, institutional supply and demand status, individual institutional supply and demand status. Stock information includes date, current price, And the status of supply and demand of the institution.

Specifically, 'date' refers to the date on which individual stocks are traded, 'current price' refers to the transaction price by date of each individual stock, 'individual supply and demand status' refers to the individual investor Is the number of purchased shares purchased / sold by each date on each individual stock, and 'foreigners' supply / demand status' refers to the total number of foreign investors participating in the stock market purchased / The number of shares purchased means the number of shares purchased or sold per day by each individual institution participating in the stock market.

The big data analysis server 6 collects digital data generated on-line such as a portal site, a search site, a social network service (SNS), a blog, a homepage, etc. and analyzes the collected big data using a predetermined analysis algorithm The market psychology index (MSI) for each item is detected. At this time, the analysis algorithm is defined as an algorithm for extracting features and patterns from the collected big data and detecting a market psychological index (MSI).

In addition, the Big Data Analysis Server 6 stores a reference table matched with the psychological level according to the range of the market psychological index (MSI), and when the market psychological index (MSI) is detected, And detects a psychological level corresponding to the psychological index (MSI).

The big data analysis server 6 also transmits the detected market psychology index (MSI) and psychological level information to the HTS server 3.

That is, the big data analysis server 6 can analyze the digital data generated on various on-line to detect the market psychological index (MSI) and the psychological level that can understand the atmosphere inside the market.

The client 7 is a digital terminal that accesses the HTS server 3 through the communication network 10 to request information and receives response data according to the request. More specifically, the client 7 is a desktop PC, Note-book, Smart-phone, IP-TV and so on.

At this time, the HTS server 3 provides the installation file of the home trading system (home trading system), which is an application program, to the connected clients to provide information through the home trading system, or to provide a graphic user interface ), A graphical user experience (GUX), or a web page (Web-page), and this information providing method is usually used in an online service system The detailed description will be omitted.

The HTS server 3 periodically accesses the stock exchange server 5 to extract and load stock trading basic information, processes the received stock trading basic information, processes and analyzes the stock information, .

Stock information includes various information related to known stock trading such as registered stocks, trading volume, amount of money, market capitalization, upper limit price, lower limit price, total price, amount of settlement, strength of consolidation, sell price, purchase price, do.

Also, the HTS server 3 receives the market psychological index (MSI) and psychological level information from the big data analysis server 6 every period (T).

Further, the HTS server 3 processes the stock related information generated according to the request of the connected client and provides the corresponding response data to the client through a table or a chart.

That is, the HTS server 3 provides stock related information corresponding to the request of the client through various known tables and charts such as a stock price table, a stock price chart, a transaction volume chart, a transaction amount table, By providing the level information together, the client can be provided with more useful information necessary for the transaction and help to perform the appropriate transaction.

In the present invention, for convenience of description, the HTS server 3 has been described as performing only the information providing service, but it is needless to say that the HTS server 3 can also be configured to perform the stock exchange agency service .

4 is a block diagram illustrating the HTS server of FIG.

4, the HTS server 3 includes a control unit 30, a database unit 31, a communication interface unit 32, a loading unit 33, a stock related information generating unit 34, A processing section 35, another service processing section 36, a stock price table processing section 37, an MSI chart processing section 38 and a display section 39.

The control unit 30 is an OS (Operating System) of the HTS server 3 and includes control objects 31, 32, 33, 34, 35, 36, 37, ), (39).

The control unit 30 also inputs the stock trading basic information from the stock exchange server 5 to the stock related information generating unit 34 through the communication interface unit 32 by the loading unit 33. [

The control unit 30 also inputs the market psychological index (MSI) and grade level information received from the big data analysis server 6 through the communication interface unit 32 to the stock related information generating unit 34.

When the control unit 30 receives the information from the client 7 through the communication interface unit 32, the control unit 30 drives the extraction and processing unit 35.

The built-in GUI, GUX, web page, and the like are stored in the database unit 31.

In addition, the database 31 stores the market psychology index (MSI) and grade level information transmitted from the big data analysis server 6.

In addition, the database unit 31 stores stock trading basic information transmitted from the stock exchange server 5 by the loading unit 33.

The database unit 31 also stores stock related information generated by the stock related information generating unit 34. [

The communication interface unit 32 transmits and receives data to and from an external server and terminals through the communication network 10. [

The loading unit 33 loads real-time stock trading basic information generated in the stock exchange server 5 periodically in conjunction with the stock exchange server 5.

The stock-related information generating unit 34 analyzes the stock trading basic information transmitted from the stock exchange server 5 by the loading unit 33, and generates and uses stock-related information.

At this time, stock related information includes various information related to known stock trading such as registered stock, transaction amount, amount of money, market capitalization, upper limit price, lower limit price, total amount of money, amount of settlement, Market psychology index (MSI) and rating level information.

The stock related information generated by the stock related information generating unit 34 is stored in the database unit 31 under the control of the control unit 30. [

The extraction and processing unit 35 is driven under the control of the control unit 30 when information is requested from the client 7 and uses the stock related information stored in the database unit 31 to generate response data corresponding to the request data .

The other service processing unit 36 displays the response data detected by the extraction and processing unit 35 through a table or a chart of a pre-created format.

The table or chart processed by the other service processing unit 36 is also provided to the client 7 under the control of the display unit 39. [

The stock price table processing unit 37 generates a stock price table using the response data detected by the extracting and processing unit 35. [ At this time, the stock price table generated by the stock price table processing unit 37 is provided to the client 7 by the display unit 39.

5 is an exemplary diagram showing a stock price table generated by the stock price table processing unit of FIG.

5, the stock price table 200 displays an item name 301, other stock related information 303 for each item, a psychological level 305 for each item, and a degree of level change 307. At this time, the degree of level change 307 indicates the degree of change of the current psychological level and the psychological level of the previous term.

 In FIG. 5, for convenience of description, the category of the other stock related information 303 is exemplified as being one stock price, but the category of the other stock related information 303 is not limited thereto, Quot ;, " sell bid price ", " buy bid price ", and " no-pay ratio ".

In other words, the client 7 can not only confirm the stock price of each stock through the stock price table 200 but also receive information on the market atmosphere of the stock through the psychological level 305 and the level up / down information 307 , So that it is possible to perform efficient investment by utilizing the psychological level 305 and the level change information 307. [

The MSI chart processing section 38 utilizes the response data detected by the extracting and processing section 35 to generate an MSI chart. At this time, the MSI chart generated by the MSI chart processing section 38 is provided to the client 7 by the display section 39.

6 is an exemplary diagram showing an MSI chart generated by the stock price table processing unit of FIG.

As shown in FIG. 6, the MSI chart 400 is made up of a chart in which the X-axis is the period (T) and the Y-axis is the stock price.

The MSI chart 400 includes a candle bar 450 indicating the stock price of the item selected by the client and a MSI candle 410 displayed at the lower part of the candle bar 450 and indicating the market psychological index (MSI) Units.

The MSI candle 410 is formed in a circular shape and has a body 411 whose diameter is determined in proportion to the size of the market psychological index MSI and a body 411 which is connected to the right or left side of the body 411, And a connecting line 413 whose length is determined by the difference.

The body 411 is formed in a circular shape whose diameter is proportional to the size of the market psychological index (MSI).

Also, the body 411 is displayed in red when it is higher than the previous period, and is displayed in blue when it is lower than the previous period, and in green when it is the same as the previous period.

More specifically, the connection line 413 is connected to the right side of the body 411 when the psychological level is higher than the previous period, and is connected to the right side or the left side of the body 411, It is connected to the left side of the body 411 and is not formed if the previous period and the psychological level are the same.

Also, the length of the connection line 413 is determined according to the difference between the current psychological level and the psychological level of the previous period.

For example, the connection line of the MSI chart is longer when the psychological level is lowered by three steps than when the psychological level is increased by one step.

7 is a flowchart showing a method of displaying market psychological index information in the present invention.

As shown in FIG. 7, the method for displaying the market psychology index information S1 of the present invention includes a big data collection step S10, an MSI detection step S20, a stock trading basic information loading step S30, (Step S40), an information request receiving step S50, a data extraction and processing step S60, a stock price list processing step S70, an MSI chart processing step S80, other service processing step S90, a display step S100).

The big data collection step S10 is a step of collecting digital data related to each item and the MSI detection step S20 is a step of collecting digital data collected by the big data collection step S10 using a predetermined analysis algorithm every period T And analyzing the Big Data to detect a market psychological index (MSI) and a psychological level.

The stock trading basic information loading step S30 is a step of periodically loading the stock trading basic information by accessing a stock exchange server that provides stock trading basic information.

At this time, the basic information of stock trading is basic information of stock transaction such as date, current price, personal supply and demand status, foreigner supply and demand status, institutional supply and demand status, individual institutional supply and demand status. Stock information includes date, current price, And the status of supply and demand of the institution.

The stock-related information generation step S40 is a step of generating stock-related information by processing and analyzing the stock trading basic information loaded by the stock trading basic information loading step S30.

At this time, stock information can be composed of sell price, buy price, base price, full price, rise rate, par value, market price, close price,

The information request receiving step (S50) is performed when information is requested from a connected client (user), and receives the request information inputted by the client.

The data extracting and processing step S60 is a step of extracting data corresponding to the received request by the information request receiving step S50 and then processing the extracted data according to a predetermined display method. At this time, the display method may be a stock price list, an MSI chart or other tables and charts, and other tables and charts may be made up of various known tables and charts.

The stock price table processing step S70 is a step of converting the response data processed by the data extracting and processing step S60 into a stock price table of a predetermined format.

At this time, as shown in FIG. 5, the stock price table displays the stock name 301, other stock related information 303 for each stock, the psychological level 305 for each item, and the level fluctuation degree 307.

The MSI chart processing step S80 is a step of converting the response data processed by the data extraction and processing step S60 into an MSI chart of a predetermined format.

6, the MSI chart includes a candle bar 450 indicating a stock price and an MSI candle 410 indicating a market psychological index (MSI) displayed under the candle bar 450.

The other service processing step S90 is a step of converting the response data processed by the data extracting and processing step S60 into other tables or other charts.

Other tables or other charts may be made of a variety of known tables or charts.

The display step S100 is a step of providing the client with a table or chart processed by the stock price table processing step S70, the MSI chart processing step S80 or the other service processing step S90.

As described above, the online stock trading service system 1 according to an embodiment of the present invention analyzes big data collected during a predetermined period T to detect a market psychological index (MSI) and a psychological level for each event, When providing information according to client's request, it can be configured to provide not only the existing stock information but also the detected market psychology index (MSI) and psychological level, so that investors can make smart investments by utilizing market psychology Thus, the reliability of service and the efficiency of information transmission can be improved.

Also, the online stock trading service system 1 of the present invention provides psychological level and level change information to the clients connected through the stock price table, so that the investor can easily and variously receive various information.

In addition, the online stock trading service system 1 of the present invention is formed in a circular shape and is connected to the right or left side of the body to determine the diameter of the body in proportion to the size of the market psychological index (MSI) By providing MSI charts using MIS candles, which are composed of connecting lines whose lengths are determined, investors can easily view detailed information such as size, degree of fluctuation, and flow of market psychological indexes of a specific item through an MSI chart.

1: Online stock trading service system 3: HTS server
5: Stock Exchange Server 6: Big Data Analysis Server 7: Client
10: communication network 30: control unit 31: database unit
32: communication interface unit 33: loading unit 34: stock related information generating unit
35: Extraction and processing section 36: Other service processing section 37: Stock price table processing section
38: MSI chart processing unit 39: Display unit 300: Stock price table
400: MSI chart 410: MSI candle 411: body
413: Connecting cable
S1: Market psychology index display method S10: Big data collection stage
S20: MSI detection step S30: Stock trading basic information loading step
S40: Stock related information generation step S50: Information request reception step
S60: Data extraction and processing step S70: Stock price table processing step
S80: MSI Chart Processing Step S90: Other Service Processing Steps
S100: Display step

Claims (4)

A big data collection step in which the Big Data Analysis Server collects data about the items that are generated on-line;
A market psychological index detecting step of analyzing big data collected by the big data collecting step using the predetermined analysis algorithm by the big data analysis server and detecting a market psychological index (MSI) for each item;
A loading step of loading stock trading basic information, which is information on various securities traded through the stock market, by the HTS server;
A stock related information generation step of causing the HTS server to convert stock trading basic information by the loading step into stock related information which is information of a predetermined category;
An information request receiving step, which is performed when the HTS server receives information from a user and receives request data input by a user;
The HTS server searches for stock related information generated by the stock related information generating step, extracts stock related information and market psychological index corresponding to the request data received by the information request receiving step, step;
A processing step of the HTS server converting the stock related information and the market psychology index processed by the data extraction and processing step into a table or a chart;
And a display step of the HTS server providing a connected user with a table or chart processed by the processing step,
The market psychological index detecting step detects the psychological level corresponding to the detected market psychological index (MSI) using the reference table matched with the psychological level according to the range of the market psychological index (MSI)
The HTS server extracts stock related information, market psychology index, and psychological level corresponding to the request data received by the HTS server in the information request receiving step,
Wherein the processing step comprises the step of the HTS server extracting stock related information, market psychology index and psychological level processed by the data extraction and processing step,
Wherein the processing further comprises an MSI chart processing step,
The MSI chart processing step
The HTS server converts the stock related information, market psychological index, and psychological level processed by the data extraction and processing step into MSI charts,
The MSI chart
The MSI candle representing the market psychology index is displayed in accordance with the X axis,
The MSI candle
The diameter is displayed in a shape proportional to the magnitude of the market psychological index. If the psychological level is higher than the previous cycle, the first color is displayed. If the psychological level is lower than the previous cycle, the second color is displayed. The body being represented by a third color;
The length is determined according to the degree of difference of the psychological level with the previous period, and when the psychological level is higher than the previous period, it is connected to the right side of the body. If the psychological level is lower than the previous period, And a connection line which is connected and is not formed if the psychological level is the same as the previous period. delete The method according to claim 1, wherein the processing step further includes a stock price table processing step,
The stock price table processing step
Related information and the market psychology index processed by the data extracting and processing step into a stock price table on which stock information related to each stock is displayed on the basis of an item name, a psychological level by item, How to display psychological index. delete

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