KR20070077853A - Technical analysis system - Google Patents

Abstract

A system for technically analyzing all stock items is provided to minimize server load by enabling a client to receive trading data/client application software from a web server and perform a profit rate analysis process unlimitedly after the client constructs various kinds of index data. A web server database(200) includes a member authentication database(201) and a trading data database(202). A trading data receiving module(212) receives the trading data of all stock items from a stock exchange and updates the trading data to the trading data database. A trading data transmitting module(213) transmits all or a part of the trading data stored in the trading data database to a client by receiving an ID/password received from the member. The client is equipped with the storage device including the trading data database, an index database, and a trading condition file, a technical analysis system, a software receiving module, a trading data receiving module, an index generating module, a profit ratio analyzing module, and a stock item search module.

Description

Technical analysis system for all securities stocks {Technical analysis system}

1 is a block diagram of a technical analysis system for all securities in accordance with the present invention

2 is a list of software and data mounted on the storage device 103 of the web server.

Figure 3 is a list of software and data mounted on the client's storage 105

4 is a flow chart of the technical analysis system for all stocks according to the present invention

5 is an example of detailed configuration of the database and stored data

6 is a schematic flowchart of a yield analysis step;

7 is an example of an interactive trading condition input screen

8 is a formalization process of trading conditions

9 is an example of formalized trading conditions.

10 is an example of a yield report.

<Description of Symbols for Major Parts of Drawings>

410: Membership certification step

420: Technical Analysis

511: Example of a record storing the configuration of the share price moving average index table (501)

512: Example of a record storing the configuration of the CCI indicator table (502)

521: field name of the index table

522: Example of actual data to store in the indicator table

601: Certification token inspection process

610: yield calculation process

701: target item selection

702: buy condition input part

703: selling condition input part

711: front connection selection

712: Index type selection part

713: reference value selection

714: signal selection portion

715: Value input part

716: back connection selection

910: Example of a formal buy condition

920: Example of a formal selling condition

<Glossary>

-S / W: Software (SoftWare)

-DB: Database

-Share price review: Stock price moving average index

-Yield analysis step: by using the technical analysis system for all securities in accordance with the present invention, by checking the authentication token in the client, input the trading conditions to calculate the rate of return to find the trading conditions of the satisfactory rate of return And storing the trading conditions (424, Fig. 6).

-Yield calculation process: Except for the authentication token inspection (601), the sales conditions input (602) and formalization (603), the sales conditions storage (620) process of the yield analysis step of Figure 6, by inputting the trading conditions and the return rate The process of repeating the calculation to find a trading condition with a satisfactory yield (610).

-Technical analysis process: Refers to a series of all processes performed in the client by the technical analysis system for all securities according to the present invention as shown in 420 of FIG. Receiving software and transaction data, building an index database, analyzing profitability, and searching for stocks.

-Indicators: A supplementary calculation that is used to identify any future trend trend using the value of the stock price or trading volume as the direction or magnitude of the movement inherent in the stock's flow as the stock proceeds over a period of time. Table or chart

-CCI Index (Commodity Channel Index): A measure of stock price fluctuation from stock moving average. The formula is

   CCI = (M-m) / (0.015 * d)

      M = (high + low + close) / 3

      m = average of simple shifts over N periods of M

      d = N-period simple moving average of absolute values of (M-m)

   Where N is a reference value of the CCI used in the example of a trade condition according to the present invention.

-Stock moving average indicator: This is an arithmetic average of the stock prices over a certain period of time. It is one of the representative technical indicators of the stock market used to determine the overall stock price flow of the market at some point and forecast future stock price trends.

table: In a relational database, a two-dimensional representation of the structure of data being stored. Also called a relation.

record: A grouping of related data in a database. Also called tuple.

field: Each data item that constitutes a record. Also called an attribute.

Combo box: Used in windows, usually displays only one line item, but clicking on the arrow expands the list so you can select one.

sub-routine: independent parts of a program that can interrelate with a complete program

Variable: A character or set of characters that represents a value in the program. Used to temporarily store the result of an expression during program processing

array: An array, a data structure used on a computer, a collection of data of the same type. An array is usually a list stored in memory in turn.

Global Variables: Variables that can be used in all regions of a program other than local ones. It keeps the value it contains until the end of the program.

    According to the present invention, a member receives related software necessary for technical analysis from a web server and historical transaction data of all the items to the client, and then builds various indicator data necessary for technical analysis on the client, It provides the function to find the trading conditions (buy condition and sell condition) that have achieved the best return in the past, and search for the items that match the condition of the transaction data and the actual data at a specific point in time. It is possible to calculate the rate of return for all stocks by inputting only once, and it relates to a technical analysis system for all stocks that provides an interactive screen using a combo box in entering trading conditions.

    In general, the share price of stocks traded on the stock exchange fluctuates not only by the company's business performance but also by technical variables based on various indicator data, and these technical variables are compared with other investors by using historical trading data and various indicator data. An analytical method that seeks to find faster and more accurately is called technical analysis.

    These technical analyzes are developed in various ways, but it is difficult for general investors to use technical analysis systematically and easily, so that they can only guess the probability of profit by looking at the charts. Even if good trading conditions are found, it is impossible to calculate an accurate numerical yield, and it is only subjective judgment of the investor, and there is a lot of calculation error with the actual accurate yield.

    In addition, some securities companies and securities related websites offer system trading based on technical analysis.

    System trading is to quantitatively analyze data such as stock price fluctuations and trading trends in the past using technical analysis to find good trading conditions with good returns, and mechanically trade the found trading conditions to computers without excluding investor sentiment. As a way of trading,

    This conventional system trading

    Since the company inputs the trading conditions for the historical data of one stock and analyzes the rate of return through the virtual trade for the trading conditions, even if a trading condition suitable for a specific stock is found, it is not usually found in other stocks. Investors who conduct technical analysis using trading have the disadvantage of having to repeat the same analysis for each item for a single trading condition and calculating the average of each return.

    The historical data used in the analysis is also used only for a short period of time (up to 2 to 3 years), which does not give credibility to the analysis results.

    In order to enter the terms and conditions of the trade, the input method must be input in a terminology similar to the computer programming language, so the investor must acquire a certain level of expertise in coding to enter the terms and conditions of sale.

    Even though they found relatively satisfactory trading conditions for various stocks using system trading, there is no function to search the stocks corresponding to the trading terms for actual trading at a specific point of time. ) It is troublesome to find the items corresponding to the above trading conditions by referring to the charts and various indicators.

    Such conventional system trading does not act as a tool for technical analysis due to various limitations as described above, and it also causes a lot of time and economic loss to investors who depend on it, thus lowering the reliability of system trading. Of course, this also raises questions about the effectiveness of technical analysis techniques.

    The main object of the present invention is to analyze the rate of return for all stocks by entering the trading conditions only once, all the securities stocks that solve the shortcomings of the system trading, which is a way to enter the trading conditions for one item and analyze the rate of return It is to provide a target technical analysis system.

    Another object of the present invention is to receive the transaction data and various software for the client from the web server in the client, and to build a variety of indicator data directly in the client to perform an unlimited yield analysis step, the load of the server ( It is to provide a technical analysis system for all stocks with a minimum of iii).

    Another object of the present invention is to be able to analyze the historical data for all items, which are the basic data for technical analysis, from the first listing date or a specific point in the past that is deemed necessary for technical analysis, so that all items are actually It is to provide a technical analysis system for all stocks that allows you to analyze the rate of return using the data of all periods.

    Another object of the present invention is a technical analysis of all securities that provides an interactive trading conditions input screen using a combo box so that members can easily input the trading conditions without the coding expertise as in system trading. In providing a system.

    Another object of the present invention is that when a member analyzes using a client and finds a good condition of profitability for the member to judge, when the member finds a good condition for the sale, the condition of the sale and the actual data are identical. It is to provide a technical analysis system for all securities, which makes it possible to search all stocks.

In the technical analysis system for all stocks according to the present invention as described above, looking at Figure 1 showing the overall configuration of the system,

    A web server 102 including a storage device 103 for storing various data and related software, and a client 104 including a storage device 105 and a display device (a monitor and a printer). The stock exchange network between the exchange and the web server, the web server and the client through the Internet network, the stock exchange is a Korea Securities Computer Corporation or a securities company that can provide trading data of all stocks Can be replaced with

    The storage device 103 of the web server includes a member authentication database, a transaction database, a web server management system for a web server, a transaction data receiving module for a web server, a transaction data transmission module for a web server, a member authentication module for a web server and a client as shown in FIG. And various software 220 for the software.

    The client's storage device 105 includes a transaction database, an index database, an authentication token, a trading condition file, a technical analysis system, a software reception module, a transaction data reception module, various indicator production modules, a yield analysis module, and an item, as shown in FIG. With a search module.

    Technical analysis system for all securities stocks configured as above,

    It is characterized in that it is possible to analyze the overall rate of return by entering the trading conditions only once for all the stocks traded on the stock exchange.

    Minimize the load on the web server by performing the rate analysis step (424 of FIG. 4 and FIG. 6) in the client, which is a series of repetitive tasks to find a satisfactory rate of return by repeatedly inputting trading conditions and calculating the rate of return. It is characterized by one.

    Historical data for analyzing yields can be analyzed from the initial listing date or past specific point in time required for yield analysis, so that the data can be analyzed using data of all trading periods for all stocks. do.

    After the transaction database of all items which are essential data is mounted on a web server, all or an additional part of the transaction database is transmitted to a client by a client's request.

    Before the member performs the yield analysis step 424 in the client, various indicator production modules 314 are used to build indicator data in a table form in the client's indicator database 302 and store the indicator data. and storing the configuration of the table in the index configuration table 510.

    The web server management system 211 resides in the CPU of the web server for smooth operation of the technical analysis system for all securities stocks according to the present invention, and if necessary, various web server softwares in the storage device 103 of the web server ( Call 210 to operate.

    The technical analysis system 311 resides in the CPU of the client and is characterized in that various modules are called and operated in a work order for smooth operation of the series of technical analysis processes 420 performed in the client.

    When the member inputs id and password to log in from the client and sends it to the web server, in the web server, the member authentication module 214 called by the web server management system 211 sends the id and password to the member authentication database. After searching in 201 to determine whether the member is a legitimate member, characterized in that it comprises a member authentication step 410 for producing an authentication token by a special calculation formula and transmitting to the client.

    The client's yield analysis module 317 is characterized in that it comprises the step of checking the authentication token 303 received in the member authentication step 410, the end of the yield analysis module if it is not a normal authentication token.

    The method of inputting the trading conditions (602) when the member performs the yield analysis step (424, FIG. 6) in the client is an interactive method using a combo box so that the members can easily input the data without any coding expertise such as system trading. Characterized in that it consists of a trading condition input screen (Fig. 7).

    The interactive trading condition input screen is searched and combined with the data of the index composition table 510 constructed in the index database, and then displayed on the screen by using a combo box to be selected by the member. It is characterized in that it includes a process of formalizing the input trading conditions into a conditional sentence for determining whether the trading conditions and the actual data match within the program.

    After the step of analyzing the profitability (424), if the member finds that they have found a trading condition with a satisfactory rate of return, searching for all the items corresponding to the trading condition in order to actually trade at the present time. 425).

    Hereinafter, the detailed components and respective functions of the present invention will be described in detail with reference to FIGS. 2 and 3.

    In the storage device 103 of the web server,

    The member authentication database 201 is a database composed of id, password, and personal information as shown in 201 of FIG. 5, and is a data for a web server for determining the validity of membership in the member authentication step 410.

    The trading database 202 is a database that stores the trading data of all the days of trading for all stocks traded on the stock exchange, such as market price, high price, low price, closing price, and trading volume as shown in 202 of FIG. Sends all or an additional portion of the transaction database to the client.

    The web server management system 211 resides in the CPU of the web server for smooth operation of the technical analysis target system for all securities according to the present invention, and functions to call and operate various modules 212 to 214 for the web server as necessary. To provide.

    The transaction data receiving module 212 for the web server is called by the web server management system 211 when a day-to-day transaction is closed on the stock exchange 101, and the transaction data (market price, high price, low price, closing price, trading volume) of all items is called. Received from the stock exchange provides a function to add to the transaction database 202 of the web server in the order of date by item.

    The transaction data transmission module 213 for the web server transmits all or additional portions of the transaction database 202 mounted on the web server to the client when the transaction data reception module 313 of the client requests transmission of transaction data. Provide the function.

    When the member authentication module 214 transmits the member's id and password from the client to the web server, the web server management system 211 calls the member authentication module, and the called member authentication module is the client. After searching the ID and password received from the member authentication database 201 to determine whether the membership and if the legitimate member provides a function to produce an authentication token by a special calculation formula and transmit it to the client. In this process, the process of joining a new member or processing an input error, etc., will be omitted since the usual procedure is followed.

    The various software for the client 220 is transmitted from the web server to the client so that the member can perform a series of technical analysis process 420 in the client, from the client's software receiving module 312 Send to client when request comes.

    In the client's storage 105,

    The transaction database 301 is a database storing transaction data of all trading dates of all items, and the transaction data receiving module 313 of the client requests the transaction data sending module 213 of the web server to receive the whole or additional portion. Save by date by item. Although the database configuration of the transaction database 202 of the web server and the transaction database 301 of the client match, the data actually stored may not match. This is because the task of finding an optimal trading condition in the yield analysis step (FIG. 6) can sufficiently accomplish the purpose with only a certain amount of historical data. in need.

    The indicator database 302 is a collection of various indicator tables required by a member to perform a yield analysis step (FIG. 6) and a table for storing a configuration form of each indicator table. 314 makes its own production at the client using the data in the transaction database 301. Several indicators have been developed and used, such as stock price moving average indicators, psychological indicators, and CCI indicators, and new indicators will continue to be developed and used. 5 is an example of some of the many indicator data, and since each indicator data has a different format or use, each indicator production module is received from the web server by the software receiving module 312, and the respective indicators. The data is constructed in a table format in the index database 302. In addition, the index configuration table 510 constructed in the index database 302 is a table for storing the configuration forms of various index tables constructed in the index database. The configuration of the data is stored in the index configuration table 510 in the form of records (511, 512 of FIG. 5). The purpose of the construction of the indicator structure table is because the type of the indicator table and the nature of the detailed fields (fields) vary according to the terms of sale. In order to combine the data stored in the index configuration table 510 to display on the screen using a combo box, and to allow members to select only. More detailed construction methods and usage methods are described below with examples.

    The authentication token 303 is a kind of identification tag indicating that the member's login behavior is justified, and when the member logs in from the client, the authentication token 303 is data transmitted to the client when the member is a legitimate member in the member authentication step 410 of the web server. In the client's return analysis step 424, the authentication token is checked 601 and the return analysis step ends when the authentication token is not valid.

    The trading condition file 304 is a file in which the member inputs the trading condition in the client, analyzes the rate of return, and if the return is satisfactory, formalizes the trading condition and stores it in the storage device of the client (620). In the search step 425, the item search is performed using the trading conditions stored in this file.

    The technical analysis system 311 resides in the client's CPU and calls various software 310 to operate as needed to provide a step-by-step module for smooth operation of the series of technical analysis processes 420 performed in the client. Provides the ability to invoke and operate by task sequence.

    The software receiving module 312 is configured to receive the client's software in the web server to the client when the various software for the client 220 in the web server is newly updated (version up) or a new member. to provide.

    When the client needs the latest transaction data, the transaction data receiving module 313 requests the transaction data transmission module 213 of the web server for the whole or additional transaction database to request the client's transaction database 301. Provides the ability to build new or receive additional minutes and save them by date of each item.

    The various index production modules 314 construct (501, 502) various indicator data necessary for analyzing the rate of return, such as CCI indicator data and stock price moving average indicator data, in the form of a table in the indicator database 302, and the constructed indicator tables (501,502). ) Is applied to the index configuration table (510) to provide a function of adding or modifying records (511,512) storing the index name and field name (521) of the index.

    The yield analysis module 317 is a module that provides a function of finding a trading condition that achieves an optimal yield by repeating a process of inputting trading conditions and analyzing the yield rate for historical data of all items in the client. With the transaction database 301 and the indicator database 302, the authentication token is inspected, the sales conditions are entered, the returns are calculated for all stocks, and the profitability report as shown in FIG. 10 is produced. The process of storing the data into the client's storage 620 is performed. In the yield analysis module, in particular, it is possible to calculate the yield for all items by entering the trading conditions only once, and interactive trading using a combo box so that the input of the trading conditions can be easily entered without specialized coding knowledge. It provides a condition input screen (FIG. 7), and formalizes 603 to process the trading conditions input through the combo box in the module so as to determine whether the conditions of the trading conditions and the actual data match. It provides a function for storing the trade conditions (620). Detailed functions and processing methods will be described using the following examples.

    The stock search module 318 searches for all stocks at the present time for the stocks that match the conditions of the real data and the trading conditions that are formatted and stored in the yield analysis module 317, and displays the searched stocks. Show to the member through the member to provide a function that allows you to work on the actual sale for the item.

    Hereinafter, an example of a preferred process of the technical analysis system for all items according to the present invention will be described in detail with reference to the accompanying drawings.

    4 is a flowchart of a technical analysis system for all stocks according to the present invention, and thus detailed processing will be described.

    First, it is assumed that the storage device 103 of the web server contains transaction data 202 up to yesterday for all stocks traded on the stock exchange.

    In the transaction data receiving step 401, once a day trading is closed in the stock exchange, the web server management system 211 residing in the CPU of the web server calls the transaction data receiving module 212, the called transaction data receiving module Receives today's trading data (market price, high price, low price, closing price, trading volume) for all stocks from the stock exchange and adds them to the existing trading database 202 in the order of the items. 202 of FIG. 5 is an example of the detailed configuration of the transaction database in the web server and the transaction data stored.

    Next, in the member authentication step 410, when the member enters the id and password from the client and transmits to the web server, the web server management system 211 residing in the CPU of the web server performs the member authentication module 214. The member authentication module is called, and the id and password received from the client are retrieved from the member authentication database 201, and if they match, an authentication token using a special calculation formula is generated and transmitted to the client.

    Next, after performing the member authentication step 410, the technical analysis system 311 resides in the client's CPU, and a series of technical analysis processes performed in the client from the software reception to the item search (421 ~ 425) ( The step-by-step module is called and operated in a work order for the smooth operation of 420.

    Next, in the software receiving step 421, the technical analysis system 311 residing in the client's CPU calls the software receiving module 312, and the called software receiving module is located in the storage device of the web server. If the client does not have the software, such as a new version (version up) or new members of the software 220, it is received and stored in the storage device of the client.

    Next, in the transaction data receiving step 422, the technical analysis system 311 of the client calls the transaction data receiving module 313, and the called transaction data receiving module receives the transaction data from the web server and the client Store in the transaction database 301. At this time, when there is no transaction data in the client's transaction database as in the case of a new member, all data of the transaction database 202 in the web server is received by the client. If only the addition of transaction data is received in the client, For example, if the web server stores transaction data up to December 10, 2005, and the client has only transaction data up to November 30, 2005, the client's transaction data receiving module 313 In request only the transaction data after November 30, 2005 to the transaction data transmission module 213 of the web server, the additional transaction data received is added to the client's transaction database 301 in the order of items by date.

    Next, in the indicator database construction step 423, various indicator production modules 314 are called by the technical analysis system 311 of the client to construct various indicator databases required for the yield analysis.

    The type of indicator data required to analyze the rate of return depends on the trading conditions, and each indicator data is constructed in a table format in the indicator database 302 by calling a different indicator production module.

    For example, if the trading condition is “(the CCI reference value 14 is rising or the CCI reference value 14 is greater than 0), when the stock's five-day moving average exceeds the stock's 20-day moving average, CCI indicator data and stock price move by 5 days if the reference value 14 of CCI is falling or CCI reference value 14 is less than 15, or if the 5-day moving average falls below the 20-day moving average. Since the average indicator data and the stock price need 20 days moving average indicator data, after receiving the CCI indicator production module 316 and the stock price moving average indicator production module 315 from the web server in the software receiving step 421, respectively. The CCI index table 502 and the stock price moving average index table 501 are constructed in the index database 302 using the received index production modules.

    In addition, in the case of the stock price moving average index table 501 in the index database 302 of FIG. 5, the example of the trading condition requires only the stock price 5 days and the stock price 20 days moving average reference value, but the stock price moving average index table 501 By selecting a plurality of moving average reference values such as 5 days, 20 days, 60 days, 120 days, etc., at the same time, additionally constructed, the stock price moving average index table (501) is not reproduced even if the trading conditions of members are changed later. Prepare in advance to use without. In the case of the CCI index, only 14 reference values were used in the example of the trading condition, but the reference value, which is a value used as a period, was selected such that 7, 14, 28, 56, etc., to produce the moving average index table 501. Likewise, as shown in 502 of FIG. 5, CCI index data based on various reference values is additionally constructed at the same time.

    When the construction of the specific indicator table is completed as described above, the indicator production module continues to store the configuration form of the newly constructed indicator table in the indicator configuration table 510. In the following example, the process of constructing a specific index table and an index composition table is described.

    First, after the stock price moving average index table 501 is constructed in the index database 302 using the stock price moving average production module 315, the moving price index for each item by date is stored in record units. For each field name, “5”, “20”, “60”, and “120” are defined (521) which represent the period of moving average including “items” and “date”, and each field has moving average. Actual data 522, which is the result of calculating the value, is stored.

    Subsequently, when the construction of the stock price moving average index table 501 is completed as described above, the stock price moving average index production module 315 continues to display data indicating the configuration of the stock price moving average index table in the index structure table 510. Add a record (511) that stores the stock price, “stock price”, “5”, “20”, “60”, and “120” to the index composition table (510) and terminate the stock price moving average index production module (315). .

    Even after the CCI index table 502 is constructed by the CCI index production module 316, the structure of the CCI index table is added to the index composition table 510 in the unit of record in the same manner as the moving average index (512). .

    Next, in the yield analysis step 424 (FIG. 6), the client's technical analysis system 311 calls the yield analysis module 317, and the called yield analysis module checks the authentication token, and then, It receives the trading conditions from the member and analyzes the profit rate for all the stocks, and provides the function to store the trading conditions. Especially, the combo box can be easily entered even without specialized coding knowledge in the trading terms input step. An interactive trading condition input screen (FIG. 7) is provided, and the trading conditions inputted on the interactive trading condition input screen (FIG. 7) are processed to be processed in a module.

    In the yield analysis step, as shown in FIG. 6, the process of the authentication token inspection 601, the sales condition input 602, the sales condition formalization 603, the yield calculation based on the sales condition 610, and the storage conditions 620 are performed. do.

    In the authentication token check 601, the authentication token 303 transmitted to the client by the member authentication module 214 of the web server is checked in the member authentication step 410 to perform the member authentication process 410 normally. Determine whether or not. At this time, if the authentication token is abnormal or there is no authentication token, the profit analysis module 317, which is being performed because the member did not go through the normal login step, is terminated. Receive input 602.

    The screen for inputting the trading condition is largely divided into the target item selection part 701, the buying condition input part 702, and the selling condition input part 703.

    The target item selection part 701 selects an item that is the target of the yield calculation process. In the example of the target item selection of FIG. 7, only the normal items of KOSPI and KOSDAQ were selected, except the management item and the preferred stock.

    For example, if the index value of CCI reference value 14 is rising or the value of CCI reference value 14 is greater than 0, the stock's 5-day moving average exceeds the stock's 20-day moving average. When the base value of 14 is falling, the CCI base value of 14 is less than 15, or when the 5-day moving average of the stock falls below the 20-day moving average, it is virtually set to “sell”. An example will be described.

    The buy condition input portion 702 and the sell condition input portion 703 are the preceding connection selection portion 711, the indicator type selection 712, the reference value selection 713, the signal selection 714, the value input 715, And it is composed of a back connection selection portion 716 and each input portion is configured in a combo box method, except for the portion 715 for inputting a specific value so that members can only select.

    The first connection selection portion 711 of the connection 1 to the connection 5 and the connection selection selection portion 716 of the connection 6 to the connection 10 are connected from the connection 1 when the member requires multiple parentheses in entering the purchase condition. For connection 5, open the parentheses (“(”), and for connections 6 to 10, close the parentheses (“)” and the connector (“and”, “or”, “nor”, “nand”). 7 is an example of a screen designed to input up to five parentheses, and the parenthesis open ”(“) is selected for the connection 4 and the connection 5 as shown in FIG.

    In the index type selection part 712, the index configuration table 510 in the index database 302 is searched to display and select the names of the indicators stored in the first field of each record in a combo box manner. .

    The names of the indicators stored in the indicator composition table 510 are “trade”, “share price”, “CCI”, and the three indicator names are displayed on the screen using a combo box, and members can select them. Since the transaction database 301 is essential data, even if there is no configuration form in the index configuration table, it is included in the names of the indexes. In this process, “CCI” is selected as shown in FIG.

    In the reference value selection section 713, since the member selected “CCI” in the indicator type selection section, the CCI record 512 of the index configuration table 510 is searched for a reference value for the CCI indicator, and then a combination thereof is obtained. Create a combo box and display it on the screen for members to select.The reference values stored in the CCI record 512 in Fig. 5 are “7”, ”14”, ”28”, and “56”. , “14”, ”28”, ”56“, ”7:14“, ”7:28”, ”7:56“, ”14:28”, ”14:56”, ”28:56”, 10 It is composed of the combinations and displayed on the screen by the combo box method and can be selected by the member. As an example of the trading condition, "14" is selected as shown in FIG.

    In the signal selection portion 714, the type of signal is subsequently selected. The types of signals are "breaking up", "breaking down", "up", "down", "up", "<", ">", "<", "=", ">" There may be 12 types, ”<=“, ”<>“. At this time, the index composition table 510 is not searched. As an example of the above trade conditions, "rising" is selected as shown in FIG.

    In the part 715 for inputting a value, for example, when a trading condition is “when the psychological index is 80 or more”, a specific value “80” can be inputted. When the index value of the reference value 14 of the CCI is greater than 0, a specific value such as “0” can be input as shown in FIG.

    In the back link selection section 716, from link 6 to link 10, the parentheses (“)” and the connector are selected. There are four types of connectors, “and”, “or”, “nor” and “nand”, which represent the terms and conditions of each trade. As an example of the purchase condition, the closing parenthesis (“)” and “or” are selected for the connection 6.

    Subsequently, after inputting the second buying condition according to the example of the trading condition, the overall input result of the buying condition is shown as “((CCI, 14, rising) or (CCI) as shown in the buying condition input portion 702 of FIG. , 14,>, 0)) and (share price, 5:20, upward breakthrough) ”, and the result of the selling condition is“ (CCI, 14, falling) as shown in the selling condition input portion 703 of FIG. ) or (CCI, 14, <, 15) or (stock price, 5:20, downbreak). As described above, the trade terms input screen according to the present invention may be a complicated trade condition or input without specialized coding knowledge.

    The formalization of the trading conditions 603 is a process of formalizing the trading conditions input on the trading conditions input screen (Fig. 7) as shown in Fig. 9, and the formalized trading conditions are the following yield calculation process 610 and the item. In the retrieval step 425, it is used to determine whether the sale condition and the actual data match or to store the sale condition in the sale condition storage 620 process.

    8 is a flowchart of a formalization process of sales conditions, and the process will be described in detail.

    First, the number of lines of the purchase condition entered by the member in the purchase condition input portion 702 is checked (811), and the number of lines of the purchase condition input by the example of the sale condition in FIG. 7 is three.

    Subsequently, “sub1” is executed as many as the number of input lines (812), and “sub1” shows the indicators, reference values, signals, and values, which are the buying conditions input to each line, except for the connecting parts 711 and 716. This is the name of the sub-routine that is formatted and stored temporarily in memory.

    The sub1 checks 821 what is the signal 714 input to the line in order to formalize the buying condition, so that the signal is "upwardly breaking", "downwardly breaking", "rising up", "falling down" ”,“ Rising transition ”and“ falling transition ”are performed in the two-line sentence assembly process (823), and the signals are“> ”,“ <”,“ = ”,“> = ”,“ <= ” , "<>" Performs a one-line sentence assembly process (822). For example, if the signal is “>”, it can be formatted as one line like “indicator value> number”, but if the signal is “rising”, “(2 days ago indicator value <1 day ago indicator value) and (1 day ago) The index value <today's index value) ”is standardized into two lines based on and, and is temporarily stored in the memory for each line as shown in FIG. 9 (824).

    Subsequently, adding the front connection portion 711 and the rear connection portion 716 inputted from the purchase condition input portion 702 to assemble the entire sentence 813, the purchase condition portion assembled in the "sub1" Replace it with another sub-routine, "sub2" and assemble it with "(sub2 or sub2) and sub2", where "sub2" is a sub that compares the buying condition with the actual data and returns "true" and "false". The whole sentence is a state that can be used as a comparison statement in combination with the "if ~ then ~ else ~" statement in the next yield calculation process 610 and item search 425.

    Since the formalization process of the selling condition is the same as the formalization process of the buying condition, it is omitted. The actual use example of the assembled sentence will be described in the following yield calculation process 610.

    After the process of inputting the trading conditions 602 and the process of formalizing the input trading conditions 603 as described above, the process of calculating the yield for all the stocks according to the standardized trading conditions is performed (610).

    In the process of calculating the yield, first, one item is sequentially searched to determine whether the target item is selected (611), and the transaction data and indicator data of all transaction dates for the target item are temporarily stored in the internal array of the program (612).

    In the example of the trading conditions, after setting the data in the transaction database 301, the CCI index table 502 and the stock price moving average index table 501 in the index database 302 in the memory in the yield analysis module, Temporary storage 612.

    Subsequently, the data of one item in the array of memory is sequentially searched from the first trading date to determine whether the purchase condition matches the actual data temporarily stored in the array (613), and if not, the data of the next trading date is continued. If it matches, it is assumed that the purchase was made on that day, and the stock price of the day is substituted into the purchase (614).

    Subsequently, the data after the date virtually bought in the buying step is searched, and it is determined whether the selling condition matches the actual data temporarily stored in the array (615). Substitution 616 is used to calculate the rate of return using the buy and sell rates and accumulate 617 over the overall rate of return.

    When the yield accumulation process 617 ends, the search continues from the date of the virtual purchase again to determine whether the purchase condition matches the actual data temporarily stored in the array (613), and the yield is repeated by repeating the virtual purchase and the virtual sale. Keep accumulating.

    When the yield calculation for one item is completed as described above, the transaction data and indicator data of the next target item are again stored in an array of memory (612), and the cumulative process of return (617) is repeated for the entire target item. After the completion of the yield calculation process 610, the return report as shown in FIG. 10 is displayed through the display device (618). After storing 620 in the condition file 304, the yield analysis module 317 ends.

    In addition to the report as shown in FIG. 10, the rate of return report may include various forms such as a yield graph and a trade report. The form of the trade condition file 304 stored in the trade condition storage 620 may be the trade condition formalization 603. ) Is stored in the formalized and temporarily stored trading condition (Fig. 9) as it is, to be used later to switch to the conditional sentence in the event search step 425.

    In addition, the method of determining whether the terms of sale and the actual data match (613,615) may be performed using the sentence “(sub2 or sub2) and sub2“ as “if ~ then ~ else ~“ Use the combined sentence "if (sub2 or sub2) and sub2 then ~ else ~".

    The sentence is a conditional sentence that replaces the terms and conditions portion 712 to 715 with "sub2" in the example of the terms of sale (Fig. 7), except for the front and rear connecting portions, and "sub2" in the sentence is a formalized form of "sub1" It is the name of the sub-routine that determines whether the condition (Fig. 9) and the actual data match, and returns the value "true" if it does not match, and the value "false" if it does not match. There are no arguments for numbers because each time it is called using a global variable in "sub2", the global variable is used as a +1 argument. In addition, in FIG. 9, "sub3" in "sub3 or sub3 or sub3" in which the selling condition is assembled into full sentences has the same function as "sub2" and compares the selling condition with the actual data and returns "true" and "false". Name of the sub-routine.

    Next, in the stock search step 425, the stock search module 318 searches for the stock trading condition file 304 stored in the stock trading condition 620, and compares the stored stock trading condition (FIG. 9) with the actual data. By searching for all the stocks that match the conditions at the present time and displaying the found stocks on the client's display device, the member can make a real investment in the searched stocks.

    In order to perform the item search 425, the current transaction database 301 and the latest index database 302 should be provided because the current search must be performed at the present time.

    In addition, the method of searching for items in which the trading conditions match the actual data is similar to the method of determining whether the trading conditions match the actual data in the yield calculation process 610, unlike the yield calculation process 610. After searching only the data of today's date, it is determined whether the trading conditions match the actual data.

    As described above, the present invention allows the member to input the trading conditions only once to calculate the overall rate of return for all items, and performs most of the rate analysis step for analyzing the data for all items in the client. By minimizing the load on the web server, you can search for items that match the trading conditions and actual data conditions found in the yield analysis step at this point, and provide an interactive screen using a combo box in entering the trading conditions. By providing a user environment that can be easily entered without specialized knowledge of coding, by using the technical analysis system for all securities stocks according to the present invention, the yield calculation for all stocks more accurately and conveniently It is possible to use the terms and conditions for entering the trading conditions and excellent search.

Claims (1)

    A member authentication step (410) of transmitting the authentication token to the client if the member inputs an id and password to the web server and searches the member authentication database in the web server and is a legitimate member;     Before performing the yield analysis step 424 in the client, first, the client receives various client software and transaction data from the web server (421, 422), and then uses the indicator production module 314 to provide an indicator for analyzing the profit rate. Building a database 302 (423);     In the step of constructing the indicator database 302, the configuration form of the indicator data is stored in the indicator configuration table 510, and the configuration form of the indicators stored in the indicator configuration table in the process of inputting trading conditions using a combo box. Providing an interactive trading condition input screen (Fig. 7) to be displayed on the screen so that members can select;     Checking the authentication token first in the yield analysis step 424 and ending the yield analysis step if there is no authentication token received from the web server in the member authentication step or the authentication token is invalid;     Analyzing the rate of return for the trading and indicator data of all trading dates of all items by entering the trading conditions only once in the client (Fig. 6);     Shaping the trade terms received on the interactive trade terms input screen (FIG. 7) into a condition that can be converted into conditional statements within the program (FIG. 9);     Determining whether or not the sales conditions match the actual data by switching to the conditional statement in the yield calculation process 610 and the item search operation 425 using the standardized sales conditions;     The technical analysis system for all securities, characterized in that the client consists of the step of searching for items that match the conditions of the transaction and the actual data at the present time to the member through the display device.

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