KR20050073833A - Method and system for estimating fluctuation of stock price based on fluctuation record - Google Patents

Abstract

According to the present invention, when condition setting information including a selected item and a news search word is received from a user terminal, one or more news information corresponding to the news search word is collected through a communication network to extract article posting date information and company information, and thereafter, from the article posting date. Stock price fluctuation based on stock price fluctuation prediction information of the selected item, which is selected by the user, by extracting stock price fluctuation information corresponding to the company information up to a specified period, and sending stock price fluctuation prediction information to the user terminal The present invention relates to a prediction method and a system, and enables the user to predict the possibility of the current or future share price change of a selected item by using the stock price change information of a similar group event when an event similar to the current event occurs.

Description

Method and system for estimating fluctuation of stock price based on fluctuation record

The present invention relates to a method and system for predicting stock price fluctuation based on stock price history, and in particular, to derive a correlation between past event records and stock price history, to facilitate the prediction of the possibility of stock price fluctuation of a stock of interest when a specific event occurs. The present invention relates to a stock price fluctuation prediction method and system.

The development of science and technology and the improvement of economic level have accelerated the increase of communication speed, the improvement and the spread of the function of communication terminal. The user can access the Internet using a communication terminal, and the desired information can be easily obtained through the Internet. In addition, as users' Internet access becomes more common, the number of service providers for providing information service, e-commerce service, news service, and stock trading service through the Internet is increasing, and these services are becoming more and more common. .

In particular, the cyber stock trading via the web has made a big change in the stock trading of customers by allowing the customers who wish to trade stocks to go directly to the securities store to handle the work directly in front of the customer's computer without interrupting their work. .

In addition, stock trading over the wired and wireless Internet has the advantage of eliminating the time and space constraints of investors, and the convenience and information access time is shortened to respond quickly to changes in the stock market.

However, in the case of general investors, due to the lack of filtering and use of various information pouring on the Internet, the characteristics of the information and the analysis of the information do not reach the institutional investor or the professional investor. There is this.

To solve this problem, some stock information websites provide processed information in addition to simple market information.

The simple market information is information about a trading amount, a stock price, etc. displayed on the market board of the stock exchange, and it is difficult for a user to make an accurate judgment on which stock should be sold at what time.

In contrast, the processed information is information that analyzes the value of the stock objectively through market conditions and the evaluation of the company that issued the stock, and the stock broker recommends several stocks to the user to sell stocks of the stocks recommended. Information that can help you.

However, the conventional stock information website can only provide opinion data of some stock brokers as information provided to investors, but cannot derive correlations between stock price fluctuations and occurrences. There was a problem that could not reasonably predict the possibility of stock price fluctuation.

In addition, through the conventional stock information website, there was a limit that investors cannot reasonably predict stock price fluctuations of certain stocks according to current events, and can not perform active stock trading.

In addition, the conventional stock information website has a limitation in that it does not provide a way for investors to verify the reliability of the trading opinion provided by the stock broker.

Accordingly, in order to solve the above-described problems, an object of the present invention is to use a correlation between past stock price fluctuations and past occurrences of stock prices that can derive stock price forecast information corresponding to current events according to reasonable criteria. To provide a stock price fluctuation prediction method and system based on the change history.

Another object of the present invention is to provide investors with reliable stock trading data by matching historical stock price fluctuation information of a similar group of companies (eg, similar industries, same groups, etc.) to current occurrences and interests of investors. To provide a stock price fluctuation prediction method and system based on the history of stock price fluctuations.

It is still another object of the present invention to provide a method and system for predicting stock price fluctuation based on a stock price change history that enables a stock investor to actively perform stock trading without blindly following the opinion of a stock broker or another investor.

Another object of the present invention is to provide a method and system for predicting stock price fluctuation based on stock price fluctuation history that can extract stock information necessary to obtain stock price fluctuation prediction information corresponding to an investor's interest by extracting only necessary information from various information that can be obtained.

In order to achieve the above objects, according to an aspect of the present invention, in the method for providing stock price fluctuation prediction information based on the stock price fluctuation history through a communication network, receiving condition setting information including a selected item, a news search word from a user terminal Making; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Generating stock price fluctuation prediction information of the selected item using the extracted stock price fluctuation information; And a method of providing stock price fluctuation prediction information comprising transmitting the generated stock price fluctuation prediction information to the user terminal. A record carrier is provided.

When the condition setting information includes a search range condition including at least one of an industry category, a sales criterion, and an affiliate company criterion, collecting one or more news information corresponding to the news search word through a communication network. It is characterized by collecting only the news information for the corresponding company.

The method may further include collecting one or more news information corresponding to the unconcerned condition through a communication network when the condition setting information includes the unconcerned condition, and generating stock price fluctuation prediction information of the selected item. In the case that the stock price change information corresponding to the article publication date of the news information collected in accordance with the non-considered condition is characterized by including a non-consideration display.

The non-consideration display may be at least one of a predetermined character, a symbol, and an emoticon, and the stock price change prediction information may include at least one of a character, a symbol, and an emoticon indicating a stock price change prediction of the selected item. .

In addition, when the stock price fluctuation prediction information of the selected item is generated using the extracted stock price fluctuation information, foreign stock market information, foreign stock price policy information, Rockefeller Foundation presentation data, diplomatic council (CFR) presentation data, Information from the Royal Institute of International Affairs (RILA) and information from the Chairman of the Federal Reserve Board may be reflected.

According to an embodiment of the present invention, there is provided a method of providing predicted stock price fluctuation amount information based on a stock price fluctuation history, the method comprising: receiving condition setting information including a selected item and a news search word from a user terminal; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Digitizing a daily stock price change amount of the selected item using the extracted stock price change information; Calculating numerical daily stock price variation prediction information of the selected item using the numerical daily stock price variation; And transmitting the calculated daily stock price fluctuation prediction information to the user terminal, and the system and apparatus for enabling the performance of the stock price fluctuation prediction information providing method are provided. And a recording medium.

In calculating the numerical daily stock price fluctuation prediction information of the selected item using the numerical daily stock price fluctuation, a parameter including at least one of a composite stock index, a stock price of each item, an inflation rate, an interest rate, and national income Different weights can be applied.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can be applied to provide similar concept information such as stock quote prediction, exchange rate fluctuation, option, real estate quote fluctuation prediction, etc., but for the convenience of explanation, the following description will focus on the case of stock quote prediction.

1 is a diagram schematically showing an overall system configuration for performing a stock price fluctuation prediction method based on a stock price fluctuation history according to a preferred embodiment of the present invention.

Referring to FIG. 1, the entire system for performing the stock price fluctuation prediction method based on the stock price fluctuation history includes a user terminal 110, a stock price fluctuation prediction device 120, a news server 160, and a stock exchange server 170. do. Of course, some components (eg, stock exchange server 170, etc.) may be omitted, and further devices (eg, KOSDAQ information providing server, foreign stock information providing server, etc.) may be further included.

The user terminal 110 is coupled to the stock price fluctuation prediction apparatus 120 through a communication network, and the stock price fluctuation predicting apparatus 120 is used to select item information, condition setting information (for example, similar group designation information, consideration condition setting information, And a prediction period designation condition), and the like, and receive and display stock price fluctuation prediction information corresponding to a specified condition from the stock price fluctuation prediction apparatus 120. As the user terminal 110, any device capable of performing the above-mentioned function by accessing the stock price predicting device 120 through a communication network may be applied in the same manner without limitation. For example, a mobile communication terminal and a personal portable terminal ( This may be a personal digital assistant (PDA), a personal computer, or the like.

The stock price fluctuation prediction apparatus 120 generates the stock price fluctuation prediction information of a specific item corresponding to the item selection information by using the condition setting information received from the user terminal 110 and uses the generated stock price fluctuation prediction information to the user terminal 110. ) To send to. The stock price fluctuation predicting apparatus 120 includes a transceiver 125, a storage 130, a data collecting unit 135, a stock price fluctuation predicting unit 140, a prediction condition managing unit 145, a variation predicting unit calculating unit 150, and The control unit 155 is included. Of course, some components may be omitted, and each component may be configured not only as a hardware device but also implemented as a program that performs a corresponding function and installed in a web server to configure the stock price forecasting device 120. have.

The transmitter / receiver 125 transmits item selection information (eg, 'Samsung Electronics', '005930', etc.) and condition setting information (eg, current occurrence of specific event information and stock price) for a specific item from the user terminal 110. Receiving unconcerned items, etc. when forecasting fluctuations, and receiving news information corresponding to condition setting information from the news server 160 through a communication network under the control of the data collection unit 135 and the controller 155, and changing the stock price. The stock price fluctuation prediction information generated by the predictor 140 or the fluctuation prediction amount information calculated by the fluctuation prediction amount calculator 150 is transmitted to the user terminal 110 through a communication network.

The storage unit 130 stores an operation program of the stock price fluctuation predicting apparatus 120, past stock price history information, member information, event information, and the like. Of course, the storage 130 may be divided into a plurality of storage according to the type of information to be stored.

The data collector 135 performs a function of collecting news information corresponding to the condition setting information received through the transceiver 125 from the news server 160. Of course, the news information may be collected directly from the data collection unit 135 through a communication network, or may be collected through the transceiver unit 125 as described above. For example, when condition setting information “Iran earthquake situation” is received from the user terminal 110, the news data of the past when a large earthquake event occurred is received from the news server 160 through a communication network. In this case, the news server 160 collects news data by the data collector 135 through a communication network with a specific search word (ie, some contents of the condition setting information, for example, the condition information is 'Iran earthquake'). The search term may be 'Iran', 'earthquake', etc.), the news server 160 retrieves the news material, and collects the full text of the news material or extracts information (eg, article date, etc.). Alternatively, the data collector 135 may access the news server 160 to directly extract the appropriate news information.

The stock price change prediction unit 140 receives condition setting information received through the transceiver unit 125, news information (that is, full text or extraction information) collected through the data collection unit 135, and the stock exchange server 170. A function of generating stock price fluctuation prediction information by performing a stock price fluctuation prediction (eg, rising or falling) corresponding to an item corresponding to the condition setting information using the stock price history information stored in the storage unit 130 or the storage 130. To perform. The function of the stock price change prediction unit 140 will be described in detail later with reference to the accompanying drawings.

The prediction condition manager 145 performs a function of distinguishing and managing a news search word, an unconsidered condition, prediction base period information, and the like included in the condition setting information received from the user terminal 110. The prediction condition management unit 145 also performs a function of providing an appropriate condition in performing the functions in the data collector 135, the stock price variation prediction unit 140, and the variation prediction amount calculation unit 150.

The variation prediction unit 150 receives condition setting information received through the transceiver 125, news information (that is, full text or extraction information) collected through the data collector 135, and the stock exchange server 170. Calculated using the stock price history information stored in the storage unit 130 or the storage unit 130 corresponding to the item corresponding to the condition setting information (for example, 10% up, 5% down, continuous down) Perform the function.

The news server 160 may be a web server (eg, a broadcast information providing server, a news information providing server, a newspaper company server, etc.) of content providers that provide news information through a communication network. In FIG. 1, one news server ( Although only 160 is shown, the number of news servers 160 that can be combined with the stock price prediction apparatus 120 through a communication network is not limited.

The stock exchange server 170 is a web server that provides real-time stock information, stock price change history information, and the like. Of course, the stock price change history information may not be provided from the stock exchange server 170, but may be stored in the storage unit 130 of the stock price change prediction apparatus 120.

2 is a flowchart illustrating a method of predicting stock price fluctuation based on a history of stock price fluctuation according to an exemplary embodiment of the present invention. FIG. 3 is a diagram illustrating a condition setting information input screen according to an exemplary embodiment of the present invention. 4 is a diagram illustrating a stock price fluctuation prediction information providing screen according to an exemplary embodiment of the present invention.

Referring to FIG. 2, in step 210, a user who wants to predict stock price change inputs desired condition setting information to the user terminal 110, and transmits the condition setting information input through the communication network to the stock price predicting device 120. Of course, before the user transmits the condition setting information to the stock price change prediction device 120, it is obvious that the member authentication process may be preceded. 3 illustrates a condition setting information input screen. The condition setting information input screen includes item selection item 310, search term input item 320, search range input item 330, period item 340, function button area (e.g., transmit button 350, cancel button). 360), and the like.

The item selection item 310 is an item for inputting a name or item code of a stock item for which the user wants to predict a stock price change. The item selection item 310 may be implemented in a form that enables sequential selection to 'business-item'.

The search term input item 320 is an area for inputting a search term for searching for past news information that is the same as or similar to a current occurrence.

The search range input item 330 is an item for specifying a range to search for news information input to the search term input item 320. For example, when the search term input item 320 is entered as 'receivables $ 300 million,' it is to search for news articles of the same or similar content for the items included in the search range input item 330. The search range may be variously divided into industry categories, sales criteria, and affiliates, and the user may select a plurality of stocks. For example, if a user selects 'Daewoo E & C' in the item selection item 310 and selects 'Industry' in the search range input item 330, the search range includes LG E & C, Gyeongnam Enterprises, Gyeryong Construction, Hyundai E & C, etc. This may be included.

The period item 340 changes the stock price for the items included in the search range input item 330 when the same or similar events have occurred in the past for the items included in the search range input item 330. This item specifies the period for extracting the history.

Referring back to FIG. 2, the stock price fluctuation prediction apparatus 120 receives condition setting information from the user terminal 110 in step 215, and receives a news search word (eg, 'receivables', 'recovery' from the received condition setting information). ', Etc.). The news information search request is transmitted to the news server 160 using the news search word extracted in step 220. In sending the news information search request to the news server 160, a separate condition setting (for example, a search in a document title) is used to search for news information that is connected to each other, rather than merely searching for news information including corresponding search terms. , Search terms should be adjacent to each other, search terms should be in order, and the like. The same can be applied to the following embodiments.

The news server 160 receives the news information search request in step 225 and searches for news information corresponding to the received search word. Then, the news information retrieved in step 230 is transmitted to the stock price change prediction device 120 through a communication network. For example, when the search terms are 'receivables' and 'recovery', the news server 160 may search for news information such as 'Hyundai E & C Iraq receivables 1 billion dollars to be recovered'. In addition, the news server 160 may transmit the full text of the retrieved news information to the stock price change prediction device 120, but may extract and transmit only the title, URL, and article posting date of the news article.

The stock price change prediction apparatus 120 receives news information retrieved from the news server 160 in step 235, and extracts an article date from the received news information. Of course, when the news server 160 extracts and transmits only the title, URL, and article posting date of the news article, step 235 may be omitted.

In operation 240, the stock price change prediction apparatus 120 extracts a stock price history corresponding to the article date. For example, if the article date of the news information retrieved by the news server 160 is May 1, 2003 and the news information is about 'Hyundai Construction', the period item 340 may start from May 1 of Hyundai Construction. It is to extract the stock price change history up to the period specified by. In this case, the stock price history may include history information stored in the storage 130 of the stock price change prediction device 120 or stock price history information received from the stock exchange server 170.

In operation 250, the stock price forecasting apparatus 120 predicts the stock price change for the item designated by the user by using the stock price fluctuation for the time period specified by the user and the period corresponding to the retrieved news information for the item corresponding to the retrieved news information. Generate information. The generated stock price change prediction information is transmitted to the user terminal 110 through a communication network.

In operation 255, the user terminal 110 receives the stock price change prediction information and displays the received stock price change prediction information on the display unit. An example of screen display when the stock price change prediction information is displayed on the display unit of the user terminal 110 is illustrated in FIG. 4. Referring to FIG. 4, the stock price forecast information display screen includes a selection item 410, a search term item 420, news information and a stock price fluctuation display area 430, a stock price fluctuation prediction area 440, and the like.

The selected item item 410 and the search word item 420 are items displaying items and a search word designated by using the item selection item 310 and the search word input item 320 of the condition setting information input screen (see FIG. 3).

The news information and stock price change display area 430 displays the stock price fluctuation near the news information publication date of news information retrieved through the news server 160 and the items corresponding to the news information (ie, items included in the search range). It is an area for. The user can view detailed news information by clicking a news article corresponding to a specific item, and the stock price change history can be displayed in various forms (eg, arrows, texts, emoticons, etc.). Of course, since the stock price history of each item is extracted based on the date on which the news information is posted, the dates of the stock price changes may be different. In addition, when a plurality of news information having the same or similar content is searched, it may be determined that only the latest news information is valid.

The stock price fluctuation prediction area 440 is an area for displaying stock price fluctuation prediction information of a user's selected item generated by using news information and a stock price fluctuation history of the item included in the stock price fluctuation display area 430. That is, the stock price change prediction of the item selected by the user is displayed by using the stock price change history after occurrence of the same or similar event of the items included in the search range designated by the user (ie, companies).

So far described with reference to Figure 2 focusing on the method for transmitting the news information corresponding to the search word specified by the user in the news server 160 to the stock price change prediction device 120, the stock price change prediction device 120 news Naturally, a method of accessing the server 160 and searching for appropriate news information may be applied. In addition, it is natural that various search techniques such as natural language search may be applied to search for news information corresponding to a search word.

FIG. 5 is a flowchart illustrating a method of predicting stock price fluctuation based on a history of stock price fluctuation according to another exemplary embodiment of the present invention. FIG. 6 is a view illustrating a condition setting information input screen according to another preferred embodiment of the present invention. 7 is a diagram illustrating a stock price change prediction information providing screen according to another embodiment of the present invention.

Referring to FIG. 5, in step 510, a user who wants to predict stock price changes inputs desired condition setting information to the user terminal 110 and transmits the condition setting information input through the communication network to the stock price predicting device 120. 6 illustrates a condition setting information input screen displayed on the display unit of the user terminal 110. The condition setting information input screen may include an item selection item 310, a search term input item 320, a remarkable condition input item 610, a search range input item 330, a period item 340, and a function button area (for example, , Transmit button 350, cancel button 360, and the like. The remarks condition input item 610 is for inputting an event that the user does not want to consider in predicting the stock price change. For example, in a normal stock situation, you can trust the effect of an event on a company's stock price under normal conditions, but under special circumstances, the impact on a stock price may be distorted even when the same event occurs. This could include the transition to the IMF system and abnormal price rises / falls. If the abnormal situation is not maintained up to now, the stock price forecast based on past events will have to be distorted. Thus, by inputting the special situation information into the non-considered condition input item 610, only the information in the normal stock situation is considered.

Referring back to FIG. 5, the apparatus for predicting stock price fluctuation 120 receives condition setting information from the user terminal 110 in step 515, and proceeds to step 520 to search for a news search word (for example, ' 'Receivables', 'recovery', etc.) and unconcerned conditions (e.g., IMF). Then, the news information search request is transmitted to the news server 160 using the news search word and the consideration condition extracted in step 530. In sending the news information search request to the news server 160, a separate condition is set to search for news information having a connection relationship with each other, rather than merely searching for news information including corresponding search terms and / or consideration conditions. For example, searching in a document title, search terms should be adjacent to each other, search terms may be in order, and the like.

The news server 160 receives the news information search request in step 530, and searches for news information corresponding to the received search word and / or consideration condition. Then, the news information retrieved in step 535 is transmitted to the stock price change prediction device 120 through a communication network. For example, if the search terms are 'receivables' and 'recovery', and the consideration condition is 'IMF', the news server 160 is expected to collect $ 100 million in receivables from Gyeongnam Enterprise Libya, and the IMF on December 3, 1997. News information, such as 'negotiation settlement'. In addition, the news server 160 may transmit the full text of the retrieved news information to the stock price change prediction device 120, but may extract and transmit only the title, URL, and article posting date of the news article.

The stock price fluctuation prediction apparatus 120 receives news information retrieved from the news server 160 in step 540, and extracts an article date from the received news information. Of course, when the news server 160 extracts and transmits only the title, URL, and article posting date of the news article, step 540 may be omitted.

In operation 545, the stock price fluctuation prediction apparatus 120 extracts a stock price history corresponding to the article date. For example, if the article date of the news information retrieved by the news server 160 is December 2, 1997, and the news information is about 'Gyeongnam Corporation', the period item (340) from December 2, 1997 of Kyungnam Corporation It is to extract the share price history up to the period specified by. In this case, the stock price history may include history information stored in the storage 130 of the stock price change prediction device 120 or stock price history information received from the stock exchange server 170.

In operation 550, the stock price forecasting apparatus 120 predicts a stock price change for an item designated by a user by using a stock price change situation for a time period specified by a user and a period corresponding to the searched news information for an item corresponding to the retrieved news information. Generate information. In this case, the stock price change history corresponding to the user-specified non-consideration condition may be separately displayed (for example, X-marks-FIG. 6) or may not be displayed in the news information and stock price display area 430. have. Thereafter, the flow proceeds to step 555, the stock price change prediction information generated is transmitted to the user terminal 110 through the communication network.

The user terminal 110 receives the stock price change prediction information in step 560, and displays the received stock price change prediction information on the display unit.

8 is a flowchart illustrating a method of providing a stock price fluctuation prediction amount based on a stock price fluctuation history according to an exemplary embodiment of the present invention, and FIG. 9 is a diagram illustrating a stock price fluctuation prediction information providing screen according to a preferred embodiment of the present invention. .

Referring to FIG. 8, in step 810, a user who wants a stock price change prediction inputs desired condition setting information to the user terminal 110, and transmits the condition setting information input through the communication network to the stock price change prediction device 120. In this case, the user may use the condition setting information input screen illustrated in FIG. 3 or 6.

The stock price fluctuation prediction apparatus 120 receives the condition setting information from the user terminal 110 in step 815, and proceeds to step 820 and receives a news search word (eg, 'receivables', 'recovery', etc.) from the received condition setting information. ). Of course, the detection of the non-considered condition may be performed as described above, but the description thereof will be omitted for convenience of description. The news information search request is transmitted to the news server 160 using the news search word extracted in step 825.

The news server 160 receives the news information search request in step 830 and searches for news information corresponding to the received search word. Then, the news information retrieved in step 835 is transmitted to the stock price change prediction apparatus 120 through the communication network. Of course, the news server 160 may transmit the full text of the retrieved news information to the stock price change prediction device 120, but may extract and transmit only the title, URL, and article posting date of the news article.

The stock price fluctuation prediction apparatus 120 receives news information retrieved from the news server 160 in step 840, and extracts an article date from the received news information. Of course, when the news server 160 extracts and transmits only the title, URL, and article posting date of the news article, step 840 may be omitted.

In operation 845, the stock price fluctuation prediction apparatus 120 extracts a stock price history corresponding to the article date. In this case, the stock price history may include history information stored in the storage 130 of the stock price change prediction device 120 or stock price history information received from the stock exchange server 170.

In operation 850, the stock price fluctuation predicting apparatus 120 calculates a stock price fluctuation amount for a time point corresponding to the retrieved news information and a period designated by the user for the item corresponding to the retrieved news information, and uses the calculated stock price fluctuation amount to the user. Calculate stock price forecasts for stocks designated by In this case, the stock price change of the item corresponding to the retrieved news information may be calculated as a change amount from the previous day (for example, a few percent increase from the previous day, a drop, or a 100 won increase from the previous day). In addition, when calculating the stock price fluctuation forecast for the stock specified by the user, the composite stock index at the time of the news information, the current composite stock index, the price increase rate, the gross national product, the stock price of the past corresponding to the news information, and the current stock price of the designated stock Various items such as may be included as parameters, and weights between the parameters may be differently applied.

In operation 855, the stock price forecasting apparatus 120 transmits the generated stock price forecasting amount to the user terminal 110 through a communication network.

The user terminal 110 receives the stock price change prediction amount in step 860 and displays the received stock price change prediction on the display unit. 9 illustrates an example of a screen display when the stock price change prediction amount is displayed on the display unit of the user terminal 110. Referring to FIG. 9, the stock price fluctuation amount and the fluctuation prediction amount numerically displayed are displayed in the news information and the stock price fluctuation display area 430 and the stock price fluctuation prediction area 440. The user may utilize the more detailed prediction information by using the stock price fluctuation forecast amount information shown in FIG. 9 than in the above-described embodiments (that is, when only the information of the increase, the flat tax, and the decrease are presented).

With reference to the related drawings so far, using the news information corresponding to the search word specified by the user, how to perform the stock price fluctuation prediction of the item specified by the user at the time corresponding to the news information It was.

Until now, we mainly focused on forecasting stock prices based on domestic news and stock market conditions.However, stock market fluctuations in Korea are affected by foreign stock market conditions, foreign stock price policies, and foreign investors' investment attitudes. As a matter of fact, such information can be applied to the stock price forecasting method according to the present invention.

For example, US bond yields, the movement of Jews leading US politics and business, and so on. This means that if interest rates on US bonds soar, global funds will flow into domestic markets through bond markets. And the movement of the Jews can be traced by presentations from the US Rockefeller Foundation, the Council of Foreign Affairs (CFR) and the Royal Institute of International Affairs (RILA). This is because all the forces behind these three groups are Jews.

It's no surprise that Alan Greenspan, chairman of the Federal Reserve, called the world economic president, can also be used to predict share price fluctuations.

As such, the stock price prediction method according to the present invention enables more accurate stock price prediction by performing stock price prediction using all information that may cause fluctuations in the stock price.

As described above, the method and system for predicting stock price fluctuation based on the history of stock price fluctuation according to the present invention uses the correlation between past stock price fluctuations and past occurrences according to a reasonable criterion. To be able to derive.

In addition, the present invention can provide reliable stock trading data to investors by matching historical stock price fluctuation information of similar corporate groups (eg, similar industries, same groups, etc.) to current occurrences and investor interests. .

In addition, the present invention allows a stock investor to perform active stock trading on their own without blindly following the opinion of a stock broker or other investor.

In addition, the present invention may provide information on stock price fluctuations corresponding to the stock of interest of the investor by extracting only necessary information from various information that can be obtained.

Although the above has been described with reference to a preferred embodiment of the present invention, those skilled in the art to which the present invention pertains without departing from the spirit and scope of the present invention as set forth in the claims below It will be appreciated that modifications and variations can be made.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a diagram schematically showing an overall system configuration for performing a stock price fluctuation prediction method based on a stock price fluctuation history according to a preferred embodiment of the present invention.

2 is a flowchart illustrating a method of predicting a stock price change based on a stock price history according to an exemplary embodiment of the present invention.

3 is a diagram illustrating a condition setting information input screen according to an embodiment of the present invention.

4 is a diagram illustrating a stock price fluctuation prediction information providing screen according to an exemplary embodiment of the present invention.

5 is a flowchart illustrating a method of predicting stock price fluctuation based on a stock price history according to another exemplary embodiment of the present invention.

6 is a diagram illustrating a condition setting information input screen according to another preferred embodiment of the present invention.

7 is a diagram illustrating a stock price change prediction information providing screen according to another embodiment of the present invention.

8 is a flowchart illustrating a method of providing a stock price fluctuation prediction amount based on a stock price fluctuation history according to an exemplary embodiment of the present invention.

9 is a diagram illustrating a stock price fluctuation forecast information providing screen according to an embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

110: user terminal

120: share price fluctuation prediction device

125: transceiver

130: storage unit

135: data collection unit

140: share price forecasting unit

145: prediction condition management unit

150: fluctuation prediction amount calculation unit

160: news server

170: stock exchange server

Claims (12)

A method for providing stock price fluctuation prediction information based on a stock price fluctuation history through a communication network Receiving condition setting information including a selected item and a news search word from a user terminal; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Generating stock price fluctuation prediction information of the selected item using the extracted stock price fluctuation information; And Transmitting the generated stock price change prediction information to the user terminal. Stock price fluctuation prediction information providing method comprising a. The method of claim 1, When the condition setting information includes a search range condition including at least one of a business category, a sales standard, and an affiliate company standard, The step of collecting one or more news information corresponding to the news search word through a communication network is to collect only news information about a company corresponding to the search range condition. Stock price fluctuation prediction information providing method characterized in that. The method of claim 1, When the condition setting information includes a non-considered condition, Collecting at least one news information corresponding to the unconcerned condition through a communication network; In the step of generating the stock price fluctuation prediction information of the selected item, including the unmarked indication for the stock price fluctuation information corresponding to the article publication date of the news information collected in accordance with the unconcerned condition Stock price fluctuation prediction information providing method characterized in that. The method of claim 3, The remark display is at least one of a predetermined character, a symbol, and an emoticon Stock price fluctuation prediction information providing method characterized in that. The method of claim 1, The stock price fluctuation prediction information includes at least one of a character, a symbol, and an emoticon indicating a stock price fluctuation prediction of the selected item; Stock price fluctuation prediction information providing method characterized in that. The method of claim 1, Foreign stock market information, foreign stock price policy information, presentation data of the Rockefeller Foundation, presentation data of the Council of Foreign Affairs (CFR), the Royal British A method of providing stock price fluctuation prediction information, characterized by reflecting at least one of presentation materials of the Institute for International Affairs (RILA) and remarks of the Chairman of the Federal Reserve. A method of providing stock price fluctuation prediction information numerically based on a stock price fluctuation history, Receiving condition setting information including a selected item and a news search word from a user terminal; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Digitizing a daily stock price change amount of the selected item using the extracted stock price change information; Calculating numerical daily stock price variation prediction information of the selected item using the numerical daily stock price variation; And Transmitting the calculated daily stock price forecast information to the user terminal Stock price fluctuation prediction information providing method comprising a. The method of claim 7, wherein In calculating the numerical daily stock price fluctuation prediction information of the selected item using the numerical daily stock price fluctuation, a parameter including at least one of a composite stock index, a stock price of each item, an inflation rate, an interest rate, and national income Applied with different weights The stock price fluctuation prediction information providing method characterized by the above-mentioned. An apparatus for providing stock price change prediction information based on a stock price change history through a communication network, Means for receiving condition setting information including a selected item and a news search word from a user terminal; Means for collecting one or more news information corresponding to the news search word through a communication network; Means for extracting article publication date information and company information from the collected news information; Means for extracting stock price change information corresponding to the company information from the article posting date to a designated period; Means for generating stock price fluctuation prediction information of the selected item using the extracted stock price fluctuation information; And Means for transmitting the generated stock price change prediction information to the user terminal Stock price fluctuation prediction information providing apparatus comprising a. An apparatus for providing stock price fluctuation prediction information numerically based on a stock price fluctuation history, Means for receiving condition setting information including a selected item and a news search word from a user terminal; Means for collecting one or more news information corresponding to the news search word through a communication network; Means for extracting article publication date information and company information from the collected news information; Means for extracting stock price change information corresponding to the company information from the article posting date to a designated period; Means for digitizing a daily stock price change amount of the selected item using the extracted stock price change information; And Means for calculating numerical daily stock price fluctuation prediction information of the selected item using the numerical daily stock price fluctuation amount; And Means for transmitting the calculated daily stock price forecast information to the user terminal Stock price fluctuation prediction information providing device comprising a. A program of instructions that can be executed in a web server is tangibly implemented to perform a method for providing stock price fluctuation prediction information. Receiving condition setting information including a selected item and a news search word from a user terminal; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Generating stock price fluctuation prediction information of the selected item using the extracted stock price fluctuation information; And Transmitting the generated stock price change prediction information to the user terminal. Recording medium that records a program that executes. A program of instructions that can be executed in a web server is tangibly implemented to perform a method for providing stock price forecast information. Receiving condition setting information including a selected item and a news search word from a user terminal; Collecting one or more news information corresponding to the news search word through a communication network; Extracting article posting date information and company information from the collected news information; Extracting stock price change information corresponding to the company information from the article posting date to a designated period; Digitizing a daily stock price change amount of the selected item using the extracted stock price change information; And Calculating numerical daily stock price variation prediction information of the selected item using the numerical daily stock price variation; And Transmitting the calculated daily stock price forecast information to the user terminal Recording medium that records a program that executes.