KR20020034296A - Home trading system for day trading users having a analysis function of plural stocks - Google Patents

Abstract

PURPOSE: An on-line stock transaction system having a stock item analysis function for a day trading users is provided to maximize the earning rate of day trading by providing the stock items after analyzing the stock items that a dairy price variation of a past constant period is above a specific standard and by repeatedly buying and selling the relating stock item within a range set by a user. CONSTITUTION: The method comprises steps of the user selecting the interesting stock items for day trading and inputting an analysis condition(S10), a server computer automatically selecting a capable day trading stock item based on the stock items and the analysis condition inputted by the user and outputting the result to the user(S20), the server computer executing a cyber simulation for the selected day trading stock item and outputting the result to the user(S30), the user selecting a stock item for real day trading and inputting the price variation data for buying/selling the stock item(S40), and the server executing day trading based on the price variation data inputted by the user and outputting the result to the user computer(S50).

Description

Home trading system for day trading users having a analysis function of plural stocks}

The present invention relates to an online stock trading system.

More specifically, securities stocks whose daily price fluctuations for a certain period of time are above a certain standard are selected and provided to securities investors, and the stocks are bought and sold within the range set by the securities investors. The present invention relates to an online securities trading system having a securities analysis function for a daily trading user to maximize the yield.

In general, the Internet is an open network that can be used freely by applying a common protocol called TCP / IP (Transmission Control Protocol / Internet Protocol) to the other computer that anyone wants to access anywhere in the world. In addition to the delivery, as well as the development of compression technology and the delivery of multimedia information, various services such as e-mail, file transfer, and the World Wide Web (WWW) can be used.

As the use of the Internet is rapidly increasing in Korea and around the world, it is rapidly increasing in importance as a strategic tool for improving efficiency and productivity in all parts of the existing industry, and new business opportunities are continuously created through the Internet. The number of service providers on the Internet is increasing.

That is, in recent years, as part of the business through the Internet, various contents such as internet advertising, internet broadcasting, online games, internet newspapers / magazines, search services, portal services, electronic commerce, etc. are provided. Sites are growing rapidly.

Recently, the sites of each securities company that provides an online securities trading system (or home trading system) to buy and sell securities on the network, along with the explosive interest of various computer users. Increasingly, securities companies are working hard to attract computer users who want to use the online securities trading system.

In other words, even if you do not go directly to the store or use a telephone when you are trading securities, securities investors are exploding due to the advantages that can be used anywhere where a computer environment is established and the savings of various fees incurred in stock trading. It is increasing.

At this time, in order for computer users to conduct securities transactions on the network, a dedicated emulator supporting an online securities trading system produced and distributed by each securities company must be installed on the securities investor's computer, and other securities established on the Internet. You should access the company's web page or use a mobile terminal with a built-in web browser.

After each securities investor runs a dedicated emulator for the online securities trading system or accesses the web page of the securities company, the securities investor buys or sells the securities of the desired item by inputting data according to a predetermined form provided by the server computer. Done. At this time, since the server computer of each securities company is connected to the securities trading market, it is possible to perform the securities trading according to the key operation of the securities investor in real time.

On the other hand, many securities firms are interested in system trading, and are expanding their scope not only to institutional investors but also to individual investors. System trading is a system in which each individual investor does not have access to stocks throughout the day and orders are automatically processed according to pre-determined conditions. It can be divided into systems using the same technique.

Such institutional trading is often favored by institutional investors or advanced private investors because the time the system calculates and executes orders is much faster than when people judge and enter the actual order, especially for day trading. The use of system trading is critical because instantaneous judgments are very important and some time delays can ruin the overall return on investment.

As a result, system trading, which is applied to individual investors when they carry out daily trading, is carried out mainly at the level of risk management or execution of profits according to predetermined conditions, and most system trading is not aimed at daily trading. It is mainly applied to mid- to long-term investments over a month.

This system trading has the advantage that investors can conduct virtual simulations on selected stocks and set up to repeat buying and selling within a certain range. In the case of individual investors who want short-term trading such as daily trading, they have to select the trading items through analysis of their own stocks. Therefore, most individual investors lack the ability and time, and most system trading also supports the daily trading. It does not provide a system trading function.

In other words, individual investors who conduct daily daily trading can make very big profits when selecting and trading stocks with high daily fluctuations and fluctuations.However, this can be done by looking at stocks of interest for a certain period of time. In addition to the stock price fluctuations, this required accumulated data for a considerable period of time and statistical expertise to analyze them.Therefore, there was a problem that each securities firm did not provide a function to systematically support the discovery of stocks for daily trading. .

In addition, the professional daily trading securities investor spends a lot of time selecting the daily trading securities by using the analysis method developed by them. However, the general securities investors do not know this analysis method. Securities investors had difficulty making profits.

An object of the present invention is to provide securities investors after analyzing the securities, the daily price fluctuation of a certain period or more in the past, to solve the above-mentioned problems, and to purchase the securities within the range set by the securities investor In order to provide an online securities trading system having a securities analysis function for a daily trading user to maximize the yield of daily trading by repeating the sale.

It is another object of the present invention to simulate the buy and sell on the basis of the daily average change rate and the period price change rate for a certain period of time within the range set by the securities investor to carry out daily trading, The present invention provides an online securities trading system having a securities analysis function for daily trading users that can predict the yield in advance.

1 is a block diagram schematically showing the configuration of an online stock trading system having a stock trading analysis function for a daily trading user according to the present invention;

2 is a flow chart showing in detail the operation of the online securities trading method having a securities analysis function for daily trading users according to the present invention;

3 to 7 are flowcharts showing in detail the operation of each subroutine of FIG.

Explanation of symbols on the main parts of the drawings

10: network communication network

20: your computer

30: server computer

Online securities trading system having a securities analysis function for daily trading users according to the present invention for achieving the above object, the network communication network for connecting a plurality of unspecified communication lines and data communication between each other; Outputs a plurality of items of interest inputted by a user who has made an online communication with the outside providing securities trading service, and analysis condition setting data of analysis period, normal change rate, and normal change rate to the outside, and among the multiple items of interest selected by the user. Receive the analysis result of securities data that can be traded daily that meets the criteria set by the user from the outside, receive the virtual simulation result of the securities data that can be traded daily from the outside, and check the virtual simulation result to confirm the user Outputs the variable price data for purchase / sell for each securities item selected and inputs to the outside, and receives the daily sales result data performed externally according to the variable price data for the buy / sell set by the user. A computer; The daily average rate of change and the period of change in price for a certain period of time are built into a database for each securities, and when the analysis condition setting data of a plurality of items of interest, analysis period, normal rate of change and normal rate of change are input from the user's computer, From the database, the average daily rate of change and the period price change rate of the relevant securities stocks during the set analysis period are extracted from the database.The average rate of change during the analysis period exceeds the normal rate set by the user. Selects the stocks that can be traded daily and provides them to the user's computer after confirming that the normal rate of change is not exceeded, and simulates based on the daily average change rate and period price change rate of the stocks before the fixed period established in the database. To After the execution, the result is output to the user's computer, and the user who checks the virtual simulation results performs daily trading for each securities based on the variable price data for buying / selling securities selected and input for the actual daily trading. It characterized in that it comprises a server computer for outputting the result data according to the daily trading performance to the user computer.

In addition, the online securities trading method having a securities analysis function for a daily trading user according to the present invention, (1) a plurality of users who perform a communication connection to a server computer that provides an online securities trading service through a network communication network Selecting securities that are interested in trading, setting and entering analysis conditions; (2) automatically selecting securities which can be traded daily based on the securities items entered by the user and analysis conditions on the server computer, and outputting the results to the user; (3) performing a virtual simulation based on the daily average change rate and the period price change rate of the securities item before a certain period centering on the securities items that can be traded daily by the server computer, and outputting the result to the corresponding user computer; (4) a process in which a user who checks a virtual simulation result for each securities capable of daily trading selects securities for actual daily trading and inputs variable price data for buying / selling the securities; (5) a daily transaction is performed on the server computer based on the variable price data for the purchase / sell of each securities item input by the user, and the result is output to the corresponding user computer.

Hereinafter, with reference to the accompanying drawings will be described in detail the online securities trading system having a securities analysis for the daily trading users of the present invention.

1 is a block diagram schematically showing the configuration of an online securities trading system having a securities analysis function for a daily trading user according to the present invention.

As shown, the network communication network 10 is a communication network such as a wired / wireless Internet. The network communication network 10 connects communication lines between a plurality of user computers 20 and a server computer 30, which will be described later, to exchange online securities transactions and daily sales. Ensure that data communications associated with the analytics service occur.

The plurality of user computers 20 have a communication environment established so as to perform a communication connection with the server computer 30 that provides the online stock trading service through the network communication network 10, and communicate with the server computer 30. Outputs the analysis condition setting data of a plurality of items of interest and analysis period, normal rate of change, and normal rate of change input by the user who performed the data to the server computer 30, and satisfies the criteria set by the user among the items of interest selected by the user. The analysis result of the securities item data that can be traded daily is received from the server computer 30 and displayed on the screen.

In addition, the plurality of user computers 20 may receive a virtual simulation result of the securities item data that can be traded daily from the server computer 30, and then select and input a plurality of securities selected by the corresponding user for actual daily trading after checking the virtual simulation result. The variable price data for buying / selling stocks and securities items is output to the server computer 30, and the daily trading result data performed by the server computer 30 according to the variable price data for buying / selling set by the user is displayed. It receives the input and displays it on the screen.

The server computer 30 constructs a daily average change rate and a period price change rate for a certain period of time in the stock trading market by a plurality of securities stocks, and a plurality of items of interest, analysis periods, and normals from the user computer 20. When the analysis condition setting data of the change rate and normal change rate is input, the daily average change rate and period price change rate of the relevant securities items during the analysis period set by the user are extracted from the database, and then the daily average change rate during the analysis period is set by the user. The securities stocks available for daily trading are selected by checking whether the price change rate during the analysis period does not exceed the normal change rate set by the user. 20) to provide.

In addition, the server computer 30 performs a virtual simulation based on the daily average change rate and the period price change rate for each securities item that is constructed as a database based on the securities items selected as suitable for the daily trading provided by the user computer 20. After that, the result is output to the corresponding user computer 20, and the user who has checked the virtual simulation result selects each securities through the stock trading market based on the variable price data for buying / selling each securities item selected and input for the actual daily trading. Daily trading for each item is performed, and the result data according to the daily trading is output to the corresponding user computer 20.

In this case, the above-described server computer 30, the daily average change rate of the securities item selected by the user for the past fixed period does not exceed the normal change rate set by the user, or the analysis period price change rate of the securities item selected by the user When the normal rate of change set by the user is exceeded, securities that cannot be traded daily are selected and the result is provided to the user computer 20.

In addition, the server computer 30, when performing a virtual simulation of the relevant stock items based on the analysis conditions setting data of a plurality of items of interest and analysis periods, normal rate of change, normal rate of change input from a specific user computer 20, Based on the average price per minute from the day before the first target date to the day before the last target date (for example, from the previous four business days to the previous two business days) After setting the minimum variable price range, the virtual simulation is performed from the first target date to the last target date (for example, from 3 business days before to the previous business day).

In this case, the minimum variable price range for realizing profits is set to be less than the average change rate during the analysis period of the securities that can be traded daily, and larger than the basic change rate that does not generate profit after purchase / selling except commission and tax. In accordance with price changes and trading volume on the target date, buying at a downward buying price and selling at an upward selling price is repeated indefinitely until the end of the securities trading market (the same applies to the actual daily trading).

In addition, the server computer 30 may terminate or change the variable price data for purchase / sell for each securities set by a specific user for daily trading, and may buy / sell for each securities for actual daily trading. If the user who enters the variable price data for the company owns the securities, he / she shall proceed first with the sale of the securities.

Next, an embodiment of an online stock trading method having a securities analysis function for a daily trading user according to the present invention configured as described above will be described in detail with reference to FIGS. 2 to 7.

2 to 7 are flowcharts showing in detail the operation of the online securities trading method having a securities analysis function for the daily trading user according to the present invention.

First, the server computer 30 that performs the online securities service selects one or more securities that are interested in daily trading by a plurality of users who have communicated through the network 10 for the daily trading analysis service. In step S10, it is determined whether to set the analysis conditions for the relevant securities items.

In detail, the user who wants to receive the daily sales analysis service performs a communication connection to the server computer 30 through the network communication network 10, and then, according to the form data provided from the server computer 30, the ID, The user authentication is performed by inputting a password or the like (S11).

In operation S12, the server computer 30 determines whether the corresponding user who has performed the user authentication selects the daily trading item selection menu from among the plurality of menus provided by the server computer 30, and the user selects the daily trading item selection menu. If you select, and outputs the predetermined form data to select the securities for daily trading and input the analysis conditions to the user computer 20.

Thereafter, the server computer 30 determines whether the corresponding user selects one or more securities with interest in daily trading (S13), and after selecting securities, determines whether to set a period for analyzing daily trading of the securities. (S14).

After setting the analysis period, it is determined whether the corresponding user inputs the analysis condition setting data of the normal change rate and the normal change rate to be compared with the daily average change rate and period price change rate during the analysis period for each securities item (S15).

As a result of the determination, when the corresponding user inputs all of the stock items, the analysis period, and the analysis condition data through the above-described steps (S13 to S15), the server computer 30 inputs one or more stock items, the analysis period, and the normal of the user. The analysis condition setting data of the change rate and the normal change rate are stored (S16).

When the user who wants to receive the daily trading analysis service through the above-described process (S10) selects a security item and inputs an analysis condition, the server computer 30 performs the daily based on the security items and the analysis condition that the user inputs. It automatically selects securities securities available for trading, and provides the result to the user (S20).

In detail, the server computer 30 recognizes any one of the securities stocks selected by the user for the daily trading analysis (S21), and the average daily rate of change of the securities stocks made during the analysis period set by the user. And the rate of change of the period price is calculated (S22).

In addition, it is determined whether the daily average variation rate of the securities item calculated in the above-described step S22 is greater than the normal variation rate during the analysis period set by the user in the previous step S10 (S23).

As a result of the determination in step S23, when the average daily rate of change of the securities item is larger than the normal rate of change during the analysis period set by the user, the server computer 30 calculates the securities item calculated in step S22. It is determined whether the period price change rate is less than the normal rate of change during the analysis period set by the user (S24).

As a result of the determination in step S24, when the period price change rate of the securities item is smaller than the normal rate of change during the analysis period set by the user, the server computer 30 selects the securities item as a securities item suitable for daily trading. In addition, the average daily rate of change and the period price change rate of the corresponding security item are stored in the database (S25).

However, if the average daily rate of change of the securities item is smaller than the normal rate of change during the analysis period set by the user as a result of the above-described determination (S23), or the period of change in the period price of the securities item as a result of the determination of the above-mentioned step (S24) If it is larger than the normal rate of change during the analysis period set by this user, the server computer 30 selects the securities as unsuitable for daily trading, and stores the average daily rate of change of the securities and the period of price change in the database. Store in (S26).

Thereafter, the server computer 30 determines whether there are more securities items selected by the user for daily trading analysis (S27).

As a result of determination, if there are more securities stocks selected by the user for daily trading analysis, after recognizing the securities stocks and repeating the above-described step (S22) (S28), the determination result of the above-described step (S27) If there are no more securities stocks selected for daily trading analysis, the analysis result of the daily trading suitability / conformance for each securities stock stored in the database is output to the corresponding user computer 20 (S29).

In this case, the reason for comparing whether the daily average change rate of the securities item is greater than the normal change rate during the analysis period set by the user in order to select the securities item suitable for the daily sale in step S23, If the volatility is large, you can make a big profit, while if you continue to rise or fall, it is difficult to make a big profit.

In addition, in the above-described step (S24), the reason for comparing whether the period price change rate of the securities item is smaller than the normal rate of change during the analysis period set by the user in order to select the securities item suitable for daily trading, The less fluctuations, the greater the chance of profiting from daily sales and the relatively lower risk of failure.

Now, after automatically selecting securities that can be traded daily through the above-described process (S20), the server computer 30 automatically changes the average daily rate and period of the corresponding securities stocks before a certain period, centering on the securities that have been selected for daily trading. A virtual simulation is performed based on the price change rate, and the result is provided to the corresponding user computer 20 (S30).

In detail, the average daily rate of change before a certain period of time is read from the database for each securities selected by the server computer 30 as suitable for daily trading (S31), and the day before the last target day of the virtual simulation first. (For example, from 4 business days before to 2 business days), the average daily price per minute for the relevant securities is read (S32).

Then, based on the average daily price per minute of the securities, which are read from the database, the minimum purchase price and the minimum change price of the upward selling price for profit are set (S33).

At this time, the daily average price per minute in the above-mentioned step (S32) is the price that is the center of the variable price range of the relevant securities in the next day's trading, the downward purchase price, the upward price according to the change rate set by the user around this price The minimum variable price range of the selling price is determined.

Subsequently, when the minimum variable price range for each securities item is set through the above-described step (S33), the server computer 30 corresponds to the virtual object from the first target date to the last target date (for example, from 3 business days before to the previous business day). The virtual simulation is performed for each securities item (S34), and the virtual simulation result is output to the corresponding user computer 20 (S35).

As such, after performing the virtual simulation for each securities item that can be traded daily through the above-described process (S30), the server computer 30 selects the securities item for the actual daily trading and purchases the securities item from the user who checks the virtual simulation result. / Variable price data for sale is received (S40).

In detail, the server computer 30 selects one or more securities stocks for the actual daily trading by a user who checks a virtual simulation result for each securable stock provided by the server computer 30 through the above-described process (S30). Check whether it is (S41).

Then, it is checked whether the user sets the minimum purchase price and the minimum change price band for realizing the profit to be used for the actual daily trading of the securities selected by the user (S42), and determines the total transaction amount to be used for the daily trading. Also check the input (S43).

In this case, when the user inputs the total transaction amount to be used for daily trading in the above-described step (S43), it may be specified by dividing the orderable amount, including the receivables, and the orderable amount without using the receivables.

Finally, when the user inputs the securities item for the actual daily trading and the variable price data for the buy / sell of the securities item through the above-described process (S40), the server computer 30 inputs each user's input. The daily trading is performed based on the variable price data for the purchase / selling of securities items, and the results of the daily trading are output to the corresponding user computer 20 at the end of the stock trading market (S50).

In detail, the server computer 30 recognizes the average price of the purchase price per minute of the securities item set by the user for daily trading as the expected average price of the day (S51) and based on the expected average price. In the above-described step (S42), the downward purchase price and the upward selling price set as the minimum variable price for realizing the profit are recognized (S52).

In addition, before the securities trading market ends, the server computer 30 executes the purchase order at the downward purchase price of the securities item (S53), and determines whether the securities item is bought in the securities trading market according to the purchase order. (S54).

As a result of the determination, when the securities stocks are bought at the downward purchase price, the server computer 30 determines whether the securities trading market is terminated (S55). A sell order is performed at the sell price (S56), and it is determined whether the securities stock is sold in the stock trading market according to the sell order (S57).

As a result of the determination, when the securities stock is sold at an upward selling price, the securities trading market is judged again, and the above-described step (S53) is repeated until the securities trading market is terminated (S58).

However, when the stock trading market is terminated as a result of the above-described determination (S54) (S58), the server computer 30 outputs the profit and loss result of performing daily trading for each securities item to the corresponding user computer 20 and provides the service. It ends (S59).

As described above, according to the online securities trading system having a securities analysis function for the daily trading user of the present invention, the securities that are suitable for the daily trading to the securities investors who mainly use the daily trading on the server computer that performs the online stock trading service By systematically analyzing stocks and offerings, general securities investors can easily select daily trading securities as well as select daily trading securities by professional investors. Supporting the system trading that can automatically place orders for the securities stocks has the effect of maximizing the yield of daily trading.

In addition, the expected average price fluctuates from day to day, which can be reasonably suggested through analysis results, greatly reducing the risk of investment, and based on accurate analysis data, not only select stocks with large fluctuation rates, but also price for the entire period. It is set to select stocks with small changes, which has the advantage of helping to find the most appropriate securities for daily trading securities investors.

In addition, by giving investors the right to adjust the analysis period, the normal rate of change, the normal rate of change, and the variable price range for realizing profits, the advantages of being able to select securities stocks according to individual investment tendencies and daily trading are provided. have.

Herein, while the present invention has been described with reference to the preferred embodiments, those skilled in the art will variously modify the present invention without departing from the spirit and scope of the invention as set forth in the claims below. And can be changed.

Claims (14)

A network communication network which connects a plurality of unspecified communication lines to perform data communication with each other; Outputs a plurality of items of interest inputted by a user who has made an online communication with the outside providing securities trading service, and analysis condition setting data of analysis period, normal change rate, and normal change rate to the outside, and among the multiple items of interest selected by the user. Receive an external analysis result of the securities data that can be traded daily that meets the criteria set by the user from the outside, and receive a virtual simulation result of the securities data that can be traded daily from the outside. Outputs the variable price data for purchase / sell for each securities item selected by the user to the outside, and receives the daily trading result data externally performed according to the variable price data for the buy / sell set by the user. User computer; And The daily average change rate and period price change rate for a certain period of time for each of a plurality of securities stocks are built into a database, and when the analysis condition setting data of a plurality of items of interest, analysis period, normal change rate, and normal change rate are inputted from the user computer, The daily average change rate and period price change rate of the relevant securities stocks during the analysis period set by the user are extracted from the database, and the daily average change rate during the analysis period exceeds the normal change rate set by the user and the price change rate during the analysis period. After checking the securities stocks that can be traded daily by checking that the user does not exceed the normal rate of change set by the user, the information is provided to the user's computer, and the average daily change rate of the stocks before the fixed period established in the database and period price change rate are displayed. Based on virtual After the simulation is performed, the result is output to the user's computer, and the user who checks the virtual simulation result is selected for the actual daily trading, and then the daily trading for each securities based on the variable price data for purchase / sell for each securities. And a server computer for outputting the result data according to the daily trading performance to the corresponding user computer. The method of claim 1, wherein the server computer, The average daily rate of change of the securities selected by the user for a certain period of time does not exceed the normal change set by the user, or the price change rate of the analysis period of the securities selected by the user exceeds the normal set by the user. , An online securities trading system having a securities analysis function for a daily trading user, which is selected as a securities item for which daily trading is impossible and the result is provided to the user's computer. The method of claim 1, wherein the server computer, When performing the virtual simulation of the relevant stock items based on the analysis conditions setting data of the plurality of items of interest and analysis period, normal rate of change, normal rate of change input from the specific user computer, Based on the average price per minute from the day before the first target date to the day before the last target date, the minimum price range of the downward purchase price and the upsell price for profit is set. Online securities trading system with securities analysis for daily trading users, characterized by performing a virtual simulation from the end date to the final target date. The method of claim 3, wherein the minimum variable price range for realizing the profit, Securities analysis function for daily trading users is set to be less than the average change rate during the analysis period of the securities available for daily trading, and larger than the basic change rate without profit after purchase / sale except for fees and taxes. Having an online stock trading system. The method of claim 3, wherein the virtual simulation, An on-line securities trading system having a securities analysis function for daily trading users characterized by infinite repetition of buying at a downward buying price and selling at an upward selling price in accordance with the price change of the target day and selling at an upward selling price. The method of claim 1, wherein the server computer, Online securities trading system having a securities analysis function for the daily trading users, characterized in that the price change for the buy / sell for each securities set by the specific user for the daily trading can be terminated or changed midway. The method of claim 1, wherein the server computer, If the user who enters the variable price data for buying / selling each securities for the actual daily trading has the securities, Online securities trading system with securities analysis function for daily trading users, characterized by proceeding from the sale of securities holdings. (1) a process of selecting securities that are interested in daily trading by a plurality of users who have made a communication connection to a server computer providing an online stock trading service through a network communication network, and setting and inputting an analysis condition; (2) automatically selecting securities that can be traded daily based on the securities items entered by the user and analysis conditions on the server computer, and outputting the results to the user; (3) performing a virtual simulation based on the daily average change rate and the period price change rate of the securities item before a certain period centering on the securities items that can be traded daily by the server computer, and outputting the result to the corresponding user computer; (4) a process in which a user who checks a virtual simulation result for each securities capable of daily trading selects securities for actual daily trading and inputs variable price data for buying / selling the securities; And (5) Daily trading, comprising the step of performing the daily trading based on the variable price data for the purchase / sale of each securities entered by the user on the server computer, and outputs the result to the user computer Online securities trading method with securities analysis for users. The method of claim 8, wherein the process (1), (1-1) performing a user's communication service to a server computer through a network communication network and receiving user authentication according to form data provided from the server computer; (1-2) determining whether the corresponding user who has performed the user authentication selects the daily trading item selection menu from the plurality of menus provided by the server computer; (1-3) determining whether the user selects one or more securities that are interested in daily trading; (1-4) determining whether the user sets a time period for the daily trading analysis after selecting the securities item; (1-5) determining whether the user inputs analysis condition setting data of the normal change rate and the normal change rate to be compared with the daily average change rate and period price change rate during the analysis period for each securities item after setting the analysis period; And (1-6) Securities item analysis function for daily trading users, comprising the step of storing the analysis conditions setting data of one or more securities and the analysis period, the normal rate of change, the normal rate of change entered by the user; Having online securities trading methods. The method of claim 8, wherein the process (2), (2-1) recognizing any one of the securities items selected by the user for daily trading analysis on the server computer; (2-2) calculating the daily average change rate and the period price change rate of the securities item during the analysis period set by the user; (2-3) determining whether the daily average change rate of the securities item calculated in the step (2-2) is greater than the normal change rate during the analysis period set by the user; (2-4) As a result of the determination in step (2-3), when the average daily change rate of the relevant securities item is larger than the normal change rate during the analysis period set by the user, the relevant securities calculated in the step (2-2) Determining whether the period price change rate of the item is smaller than the normal rate of change during the analysis period set by the user; (2-5) If the rate of change in the period price of the securities item is smaller than the normal rate of change during the analysis period set by the user as a result of the determination in step (2-4), the securities item suitable for daily trading is selected and the securities Storing the daily average rate of change and the period price change rate of the item in a database; (2-6) As a result of the judgment in step (2-3), if the average daily rate of change of the securities item is smaller than the normal rate of change during the analysis period set by the user, or as a result of the judgment of step (2-4) If the term price change rate of the securities item is larger than the normal rate of change during the analysis period set by the user, selecting the securities item not suitable for daily trading and storing the daily average change rate and the period price change rate of the securities item in the database. ; (2-7) determining whether there are more securities items selected by the user for daily trading analysis; (2-8) if there are more securities stocks selected by the user for daily trading analysis, recognizing the securities stocks and repeating the above steps (2-2); And (2-9) As a result of the determination in the step (2-7), if the user no longer has the securities selected for the daily trading analysis, the analysis result for the daily trading appropriate / non-conformance for each securities stored in the database is applied. On-line securities trading method having a securities analysis for the daily trading user, characterized in that comprising the step of outputting to the user computer. The method of claim 8, wherein the process (3), (3-1) reading the average daily rate of change from the database for a period of time for each securities selected by the server computer as suitable for daily trading; (3-2) virtual simulation step of reading from the database the daily average price per minute of the relevant securities from the day before the first target date to the day before the last target date; (3-3) setting a minimum purchase price and a minimum change price of the selling price to raise profit based on the daily average price per minute for each securities item; (3-4) performing a virtual simulation for each securities item from the first simulation date to the last target date of the virtual simulation; And (3-5) An online securities transaction method having a securities analysis function for a daily trading user, comprising outputting a virtual simulation result to a corresponding user computer. The method of claim 8, wherein the process (4), (4-1) selecting a securities item for the actual daily sale by the user who has confirmed the virtual simulation result for each securities item capable of daily trading output from the server computer; (4-2) setting and inputting a minimum purchase price and a minimum change price band for realizing profits to be used in actual daily trading of the selected securities item; And (4-3) An online securities transaction method having a securities analysis function for a daily trading user, comprising the step of determining and inputting a total transaction amount to be used for daily trading. The method according to claim 12, wherein in step (4-3), If the user enters the total transaction amount for the daily sale, On-line securities trading method with a securities analysis for daily trading users, characterized in that can be divided into the orderable amount, including receivables and the orderable amount without using receivables. The method of claim 8, wherein the process (5), (5-1) recognizing, on the server computer, the average price of the purchase price per minute of the corresponding stock item set by the user for daily trading as the expected average price of the day; (5-2) recognizing the downward purchase price and the upward selling price set as the minimum variable price for profit realization in the step (4-2) based on the expected average price; (5-3) before the securities trading market is terminated, performing a buy order at a downward purchase price of a corresponding stock item on a server computer; (5-4) determining whether a securities stock is bought in the securities trading market according to the purchase order; (5-5) determining whether the securities trading market has ended, when the securities stock is bought at a downward purchase price; (5-6) if the securities trading market is not ended, performing a sell order at the server computer's upsell price; (5-7) determining whether the securities are sold in the securities trading market according to the sell order; (5-8) if the securities item is sold at an upward selling price, determining whether the securities trading market is terminated and repeating the above steps (5-3) until the securities trading market ends; And (5-9) As a result of the determination of the steps (5-4) and (5-8), when the stock trading market is terminated, the server computer outputs the result of the profit and loss resulting from the daily trading of the relevant stock items to the corresponding user computer. Online securities trading method having a securities analysis function for daily trading users, characterized in that made.