JP2002245252A - Transaction issue determination assisting method, and system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide materials for deciding on appropriate transaction in a transaction of a stock or the like. SOLUTION: An investment information provision site 11 periodically renews a plurality of transaction object issues to demand index values regarding a plurality brands for trading. The site 11 calculates the winning average within a prescribed period in the past regarding respective technical indices calculated and ranks and stores the respective transaction object issues by each brands, based on the winning average or the like obtained. When the investment information provision site 11 receives an information instructing the index and the rank from a user terminal 21, it extracts the issue agrees with the instruction from a plurality of issues previously stored and provides the issue to the user terminal 21.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an investment information providing system, and more particularly, to an investment information providing system capable of providing highly reliable investment information.

[0002]

2. Description of the Related Art When investing in stocks,
Analyst analysis, which is a micro analysis, fundamental analysis, which is a macro analysis, and technical analysis that can be used for both are known. Various software (transaction support systems) are provided that analyze stock quotes based on technical analysis and present recommended stocks to be sold and buy / sell.

[0003]

However, the reliability of the conventional stock trading support system is low. This is because conventional technical analysis was an analysis method that could only catch a certain point in time. Similar problems exist not only in stocks but also in commodity trading.

[0004] Further, in a conventional system for presenting an extracted issue of a stock transaction to a customer, information on each issue subject to the issue is provided, but a comparison between a plurality of issues and an investment desired by the customer in comparison with the past. The brand could not be selected.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and has as its object to provide a method and system for supporting the determination of a trade brand which can provide more appropriate material for making a decision on a trade in a stock market or the like. .

[0006]

According to a first aspect of the present invention, there is provided a trading issue determination support method for obtaining and updating index values relating to a plurality of indexes for a plurality of trading target issues. Then, based on the index value updated by the index value calculating means, the plurality of tradeable issues are ranked and stored for each index, and from among the stored plurality of issues, based on the rank, It is characterized in that a specific brand is extracted and presented to the user.

[0007] An extraction condition including information specifying an index and information specifying a rank from a user may be received, and a brand having a specified rank for the specified index may be presented.

For a specified index, a list of brands having a specified rank is presented, an arbitrary brand is selected, and index values and ranks of a plurality of indexes are presented for the selected brand. It may be.

Regarding a plurality of indices, brands belonging to a predetermined rank may be extracted and presented. Further, scores may be assigned to ranks, and brands may be extracted and presented based on the scores.

The index value is updated by obtaining a new index value every predetermined period or at a constant timing.

[0011] For example, the rank is obtained by obtaining a current value of an index, and performing a trade at a timing at which the obtained index value was obtained in the past for each target brand, thereby obtaining a predetermined expected value. Probability is calculated and set based on the probability. For example, when trading is performed at the timing when the same index value as that of the current time was obtained in the past, the probability that a predetermined amount of price increase will be obtained is determined for each target stock, and the buying rank is determined based on the calculated probability. Or, for each stock to be traded, when trading is performed at the same index value as the current time in the past, the probability that a predetermined amount of price drop is obtained, based on the obtained probability Set the rank for sale.

The rank of each brand is set based on, for example, at least one of a winning rate, a profit rate, the number of trades, and an average holding period.

In order to achieve the above object, a trading issue determination support system according to a second aspect of the present invention comprises: index value updating means for obtaining and updating index values for a plurality of indexes for a plurality of trading target issues. Based on the index value updated by the index value calculation means, for each index, storage means for ranking and storing each of the plurality of tradeable issues, instruction input means for inputting an instruction from a user, Presenting means for extracting a brand based on the rank from brands stored in the storage unit based on a user's instruction input by the input unit and presenting the brand to the user. And

The instruction input means includes, for example, means for inputting information for specifying an index and a rank, and the presenting means searches for and presents a brand having a specified rank with respect to a specified index. Means may be provided.

The presenting means, for example, presents a list of brands having a specified rank with respect to a specified index, and displays index values and ranks of a plurality of indexes for a brand selected from the list. And means for presenting.

[0016] The presenting means may include means for extracting and presenting brands belonging to a predetermined rank with respect to the plurality of indices.

The presenting means may assign a score to each rank, and extract and present a brand based on the score.

The index value updating means obtains and updates the index value at predetermined time intervals or at a constant timing, for example.

The index value updating means obtains, for example, the current value of each index for each trading brand, and when the obtained index value is traded at a timing obtained in the past, a predetermined expected value is obtained. The probability of obtaining a value is determined, and a rank is set based on the probability. For example, for each stock to be traded, if the same index value as the current time was traded at the time when it was obtained in the past, the probability that a predetermined amount of price increase was obtained, and based on the obtained probability, Set a rank, calculate the probability that a predetermined amount of price decrease has been obtained when trading at the same index value as the current time in the past, and set the rank for sale based on the calculated probability I do.

The index value updating means sets, for example, a rank of each brand based on at least one of a winning rate, a profit rate, the number of trades, and an average holding period.

In order to achieve the above object, a computer program according to a third aspect of the present invention includes a computer program for obtaining and updating index values for a plurality of indexes for a plurality of trading target issues, and calculating the index values. Based on the index value updated by the means, for each index, the plurality of trading target issues are ranked and stored, and a specific issue is extracted from the stored plurality of issues based on the rank. Then, the process presented to the user is executed.

Further, in order to achieve the above, the server computer according to a fourth aspect of the present invention is a server computer connected to a plurality of user terminals via a network. Transaction information storage means for receiving and storing transaction information including: and, for a plurality of trade target issues, obtaining and updating index values for a plurality of indexes based on the transaction information stored in the transaction information storage means. Index value updating means, based on the index value updated by the index value updating means, for each index,
A storage unit that ranks and stores the plurality of trading target brands; an extraction condition receiving unit that receives an extraction condition transmitted from the user terminal; and an extraction condition received by the extraction condition receiving unit. Means for extracting a trade target brand based on the rank stored in the storage means and transmitting the extracted brand to the user terminal.

[0023]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A stock investment support system according to the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing a configuration of a stock trading support system according to an embodiment of the present invention. As shown in the figure, the system includes an investment information providing site 11 arranged on the Internet IN and an Internet 11.
Directly or indirectly connected user terminal group 21 (21
1 to 21p), and a market information providing site 31 for providing information such as stock prices and transaction volumes.

The investment information providing site 11 is for providing investment information (information for determining investment) according to an investor's request, and as shown in FIG.
1, a user information DB (database) 112, a stock price information DB 113, and an investment information DB 114.

The server 111 operates in accordance with the operation program, and has a function as a WWW server (web control function) and a function as a database server (DB control function). The server 111 does not need to be physically constituted by one computer, but may be constituted by a plurality of computers.

The server 111, as a WWW server, accepts access from each user terminal 21 via the Internet IN, performs authentication processing, and extracts information from the databases 112 to 114 to dynamically create a homepage. Then, it is provided to the access source user terminal 21.

The server 111 accesses a user information DB 112, a stock price information DB 113, and an investment information information DB 114 as DB servers.

As shown in FIG. 3, the user information DB 112 stores ID, password, name, address, and contact information (telephone number, facsimile number, e-mail address) for each registered user who is permitted to access this site 11. Information such as a mail address).

The market information DB 113 stores price information of each stock in the stock market. The information to be accumulated is, for example, information such as an open price, a high price, a low price, a close price, and a transaction volume.

The investment information DB 114 stores a technical index value of each issue traded in the stock market and an index value table indicating a winning rate thereof, and an extracted issue table extracted based on the technical index value.

More specifically, as shown in FIG. 4, the index value table shows, for each brand, index values of the psychological line, stochastics, RCI, RSI, and volume ratio, and the index values in the past. After that, whether or not there is a predetermined price rise of the stock is stored together with the number of days n on which the calculation is based.

These index values and wins / losses can be calculated, for example, at regular intervals, for example, at the end of the previous or subsequent show, at the end of one day of trading, at the end of one week of trading, and so on.
It is calculated and updated based on the current market value.
Here, each index is defined by the following equation.

[0034]

## EQU1 ## Psychological line = (days raised) / n × 100

## EQU2 ## Stochastics% = Σ (closing price on the day−lowest price in the past n days) / Σ (highest price in the past n days−lowest price in the past n days) × 100, (Σ is the designated last n days) Total)

RCI = (1− (3 × １− (days−ascending rank))
2) / (n × (n2-1))) × 100

## EQU4 ## RSI = (total increase width) / (total increase width + total decrease width) × 100

[Equation 5] Volume ratio = Total volume on rising day / (Total volume on rising day + Total volume on falling day) × 100

As shown in FIG. 5, the extracted brand table ranks each trade brand by index based on the winning rate and stores the top rank brands.

On the other hand, the user terminal 21 shown in FIG. 1 is composed of a personal computer, a workstation or the like in which a web browser is installed, and a communication unit,
A display unit, an input unit, a control unit, and the like are provided.

The market information providing site 31 appropriately provides the investment information providing site 11 with the latest market information. The information provided by the market information providing site 31 is, for example, information such as an open price, a high price, a low price, a close price, and a trading volume of each brand.

The operation of the trading issue determination support system having the above configuration will be described below.

(User Registration) In order to use (refer to) the investment information provided by the investment information providing site 11, it is necessary to perform user registration. The user applies for use to the operator of the investment information providing site 11 via a document or a network. The operator performs an accounting process and the like as necessary, issues an ID and a password to the applicant, and registers the information of the applicant in the registered user DB 112 shown in FIG.

(Receiving Market Information) Investment Information Providing Site 11
Server 111 receives the market condition information provided from the market information providing site 31 and accumulates it in the stock price information DB 113.

(Technical Index and Win Rate Calculation Processing for Each Issue) The server 111 executes the calculation of the above-mentioned five technical indexes for each issue while changing parameters based on the information accumulated in the stock price information DB 113. I do. Further, when the parameter value obtained by the calculation is obtained, the server 111 calculates the win or loss when the stock is purchased, and registers it in the investment information DB 114 as an index value table shown in FIG.

This calculation process will be described with reference to FIG.
The server 111 sets the pointer i indicating the brand and the number of days n on which the calculation is based to the minimum value of 2 (step S10).
1). Note that the minimum value of the number of days n may be 3 or more.

The server 111 then proceeds to the market information DB 1
Based on the information for the past n days of the brand i registered in No. 13, the index value of each technical index is calculated based on the above-described formulas 1 to 5 (step S102).
For each index value calculated in step S102, the server 111 obtains the index value during a predetermined period in the past (m years, for example, two years), and then obtains the index value for a certain period (for example,
The number of times the stock price has risen above a predetermined value and the number of times it has not risen within January), that is, the win or loss, is calculated.

Here, for example, a predetermined value is set to 11%,
The case where the stock price increases by 11% or more is defined as "win", and the case where the stock price decreases or the rate of increase is less than 11% is defined as a loss.

A description will be given based on a specific example.
= 2, the RCI is calculated to be 6 (%). Then, on the stock price chart shown in FIG.
It is also assumed that the RCI is calculated to be 6% at n = 2 at T3.

In this case, at timing T1, RCI =
After that, the stock price rose by 11% or more, and the timing T
In 2, the stock price rose 7% after RCI = 6, and at timing T3, the stock price fell after RCI = 6. In this case, one win and two losses, and the winning rate is 33%
(The number of trading is three).

Subsequently, the server 111 stores the brand i and the number of days n.
As shown in FIG. 4, the respective technical index values and the wins and losses of the past m years are stored in the investment information DB 114 in association with each other (step S104).

Subsequently, it is determined whether or not the number of days n serving as the basis of the calculation is the maximum value (14 days in FIG. 4) (step S105). If it is determined that it is not the maximum value, n is incremented by one. (Step S106), the process returns to step S102, and the above processing is repeated for the updated n.

In step S105, the server 111 sets n
Is determined to be the maximum value, it is determined whether or not processing has been completed for all trading brands (or all information providing brands). If it is determined that unprocessed brands remain, i is incremented by +.
1 (step S108), the process returns to step S102, and the above processing is repeated for the next trading brand.

When the server 111 determines in step S107 that the processing for all brands has been completed, the server 111 terminates this calculation processing.

In this way, an index value table is generated. In the investment information DB 114, for each trading issue, a technical index value having different parameters and a past virtual result (win / loss) indicating the reliability of the technical index value. Is stored.

Next, the server 111 generates an extracted brand table. That is, for each issue stored in the index value table, a winning rate is calculated for each index, and the winning rate is 50%.
In the above case, the brand is registered in the rank column corresponding to the winning rate.

For example, according to the example of FIG. 4, the brand “Yamakawa Bussan” has the number of days n =
In the case of 3, the win and loss are 8 wins and 0 losses and the win rate is 100%. When the number of days n = 2, the win and loss is 4 wins and 3 losses, and the win rate is 5 wins.
7%. As shown in FIG. 5, the rank is rank 1 =
Win rate 90% or more, rank 2 = win rate less than 90% to 80% or more, rank 3 = win rate less than 80% to 70% or more, rank 4
= Win rate of less than 70% to 60% or more, rank 5 = Win rate of 60%
It is set to less than 50% or more. Therefore, in the column of rank 1 of the column of the psychological line of the extracted brand table, “brand: Yamakawa Bussan, index value 14, number of days n: 3, win / loss:
8: 0 "is registered, and" brand: Yamakawa Bussan, index value 6, days n: 2, win / loss: 4: 3 "are registered in the rank 5 column.

(Investment Information Reference Operation) When a user who has performed user registration on the site 11 refers to the information, for example, a browser program is activated on the user terminal 21 to access the site 11.

In response to this access, the server 111 of the site 11 transmits a login screen as shown in FIG. The browser program displays this login screen. The user displays his / her ID on this screen
And a password, and send it to server 111.

The server 11 determines whether the pair of the notified ID and password is registered in the user information DB 112, and if not registered, returns an error message to that effect. On the other hand, if registered, a brand extraction screen as shown in FIG. 9 is transmitted.

The issue extraction screen shown in FIG. 9 is a screen showing how many applicable issues exist for each index and rank. The user clicks on the number of issues existing at the intersection of the technical index considered important and the required level (acceptable risk). The user terminal 21 notifies the server 111 of the specified number of brands.

The server 111 receives the information from the user terminal 21, extracts a brand matching the request from the rank table of the investment information DB 114, combines the number of brands and a list of brands, and transmits the list to the user terminal. I do.

For example, it is assumed that the user has designated RCI as an index and level 1 as a risk. Then, server 1
11 extracts, from among the brands stored in the investment information DB 114, brands with a winning rate of 90% or more corresponding to the RCI. The RCI is calculated every n days, and the server 111
Specifies a brand along with the number n of days in which an RCI having a winning rate of 90% or more is obtained.

For example, referring to the brand corresponding to i = 1 in FIG. 4: Yamakawa Bussan, when the psychological line is n = 3, 8 wins and 0 losses and the winning rate exceeds 90%. Therefore, the server 111 also extracts Yamakawa Bussan as a candidate.

Assume that the user designates a psychological line as an index and a level 5 as a risk. Then, the server 111 extracts a brand whose winning rate corresponding to the psychological line is 70 to 60% from the brands stored in the investment information DB 114, and specifies the brand together with the number of days n. For example, referring to FIG. 4, when n = 2,
He has four wins and three losses on the psychological line, with a winning rate of 57%. Therefore, the server 111 also extracts Yamakawa Bussan as a candidate.

The server 111 thus operates as shown in FIG.
Create a list of extracted brands as shown in
1 to provide. The user terminal 21 displays the provided list. When the user selects an arbitrary brand on this list, as shown in FIG. 11, the number of days of each index value, the index value, the win / loss, the winning percentage, and the like for the brand are displayed. Financial indicators and stock price charts may be added. The user refers to these displayed contents to select a brand to purchase.

As described above, according to this embodiment, when a stock is selected with reference to the technical index, not only the technical index at the present time but also the stock price at the time when the index value is obtained in the past is obtained. Is determined, and a brand is selected based on the winning rate. Therefore, it is possible to select a stock whose price rises with high accuracy. Moreover, each stock is ranked based on the indicator and win rate,
Since brands that match the index value and the rank specified by the user are extracted, brand selection is easy.

In the above description, the present invention has been described by taking as an example the case of selecting stocks to be purchased. However, it is also possible to select stocks to be short-sold by the same logic.
In this case, the server 111 previously obtains a short-term technical index value for each trading brand for each number of days n.
In the past when the index value was obtained, the winning rate in the case of short selling the stock is obtained and classified. Then, it is stored in the investment information DB 114 in the same manner as in FIGS. In the case of short selling, after the sale, within a certain period,
If the stock price has decreased by a predetermined value (for example, 11%) or more, the win is determined.

Then, the server 111 extracts the brands of the rank designated by the user based on the index designated by the user on the instruction screen shown in FIG. 9, and creates a list as shown in FIG. 10 or FIG. To present to the user. In this way, issues with a high likelihood of falling prices are extracted and ranked with reference to the current and past results, and issues are extracted based on the rank, which can be used as a reference for selecting issues to be invested. Can be.

(Second Embodiment) In the above embodiment, a brand having a designated rank is extracted and presented to the user with respect to an index designated by the user. It is not limited to. For example, with respect to a plurality of indices, a brand belonging to rank 1 is considered to have a higher probability of a price increase (or a price decrease in the case of selling). Therefore, brands ranked higher in the plurality of indices may be extracted and presented to the user.

In this case, in response to the user's request, the server 111, for example, issues a brand of all index ranks 1, a brand of rank 3 or higher, a brand of rank 2 or higher, and a brand of all indexes 3 or higher. Then, brands with all index ranks of 5 or more are obtained, and the number of brands is presented as shown in FIG.

When the user clicks "details" of an item of interest on the screen of FIG. 11, the details of the item are presented, for example, as shown in FIG. Further, FIG.
When an individual brand is designated (clicked) on the screen shown in FIG. 2, the server 111 transmits information on the brand to the user terminal 21 in, for example, a format shown in FIG. The user can select a brand by referring to these pieces of information.

The method of extracting brands based on the ranks of a plurality of indexes is not limited to the above embodiment. For example, it is also possible to assign a specific to each rank and to extract brands based on the total score or the score of a predetermined upper rank. For example, rank 1 has 5 points and rank 2 has 4
point,. . . Rank 5 may be awarded one point, and a brand may be extracted based on the total score or the total value of the top three scores (extracted from brands with a high score).

(Modification) In the above embodiment, the psychological line, stochastics, RCI, RSI, and volume ratio have been exemplified as stock price indexes, but the indexes to which the present invention can be applied are not limited to these. For example, so-called chart analysis is widely used as a reference for investment decisions. For example, analysis is performed such that a point at which two types of moving average lines cross each other is used as a reference for buying and selling, or a difference between the moving average line and the actual stock price is referred to. The present invention is naturally applicable to such an index based on the chart analysis.

Further, in the above embodiment, a win rate of 90% or more is ranked 1, 2,. . . , Less than 60% and 50% or more are ranked 5, but the method of setting the rank is arbitrary.
For example, it is possible to rank the top 20 brands as rank 1 and the following 20 brands as rank 2.

Further, the rank may be set in consideration of not only the winning rate but also other factors. For example, the win rate of 100 wins and 1 loss is 100%, but the weight (reliability) of the index is different from that in the case of 99 wins and 0 losses, and it is desirable to make 99 wins and 0 losses the upper rank. Therefore, for example, in the chart of FIG. 7, not only the number of wins and losses, but also the number of sales and purchases (the number of wins + negative numbers), the average holding period (the average number of days until an increase of 11% or more is obtained), the profit (profit rate), The maximum profit (profit rate) or the like may be obtained, and the rank may be set based on these. For example, the one with the highest overall evaluation of these parameters is rank 1, and thereafter,
The rank may be sequentially reduced.

In the above embodiment, the user is mainly in a position to receive investment information. However, the user may be allowed to actively select information. For example, the stock of each user's owned stock may be registered in the registered user DB 112, the index and rank of the registered stock may be determined, and the user may be notified by e-mail or the like.

Further, for example, stock brands that the user is interested in are registered in the user DB 112, and when the stocks are included in the list shown in FIG. 9 (listed in the higher rank). At this time, the notification may be made by e-mail.

The above-described display screen and the like are merely examples, and can be arbitrarily changed. For example, the extracted brands may be sorted and displayed using any item as a key. Furthermore, on the screen displaying the extracted brands,
An arbitrary brand may be selected to allow a buy order or a sell order.

Further, in the above-described embodiment, an example is shown in which the investment information providing site 11 receives market information from the market information providing site 31 via the Internet IN, but the market information providing method is arbitrary.

[0077] Also, the target brands are not limited to stocks.
Any bonds, securities, industrial products, commodities, derivative products such as futures, etc., which are traded in the market, are generally applicable.

The system according to the present invention can be realized by using a general computer system without using a dedicated system. For example, a system for executing the above-described processing may be configured by installing the program from a medium (floppy (registered trademark) disk, CD-ROM, or the like) storing a program for executing the above-described operation in a computer. Can be. In the case where the above-described functions are realized by the OS sharing or the OS and the application being jointly used, only the part other than the OS may be stored in the medium.

It is also possible to superimpose a program on a carrier wave and distribute it via a communication network. For example, the program may be posted on a bulletin board (BBS) of a communication network and distributed via the network. Then, by starting this program and executing it in the same manner as other application programs under the control of the OS, the above-described processing can be executed.

[0080]

As described above, according to the present invention,
It is possible to extract a desired trade target brand with high accuracy.

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration of a trading issue determination support system according to an embodiment of the present invention.

FIG. 2 is a diagram showing a configuration of an investment information providing site shown in FIG.

FIG. 3 is a diagram showing a configuration of a registered user DB shown in FIG. 2;

FIG. 4 is a diagram showing a configuration of an index value table stored in an investment information DB.

FIG. 5 is a diagram showing a configuration of an extracted brand table stored in an investment information DB.

FIG. 6 is a flowchart showing a process of calculating a technical index value and a winning rate by brand and days.

FIG. 7 is a diagram for explaining a method of calculating a winning rate.

FIG. 8 is a diagram showing an example of a brand extraction screen.

FIG. 9 is a diagram illustrating an example of a login screen.

FIG. 10 is a diagram showing a screen displaying a list of brands having a specified rank with respect to a specified index.

FIG. 11 is a diagram showing a screen displaying individual index values and ranks for individual issues.

FIG. 12 is a diagram showing an example of a screen displaying the number of brands satisfying a preset condition for a plurality of indexes.

FIG. 13 is a diagram illustrating an example of a screen displaying the content of a brand satisfying a preset condition for a plurality of indexes.

[Explanation of symbols]

 11 Investment Information Providing Site 21 User Terminal 31 Market Information Providing Site 111 Server 112 Registered User DB 113 Market Information DB 114 Investment Information DB

Claims (22)

[Claims] 1. An index value relating to a plurality of indexes is obtained and updated for a plurality of target issues, and the plurality of target issues are classified for each index based on the index values updated by the index value calculating means. A trading issue determination support method, comprising ranking and storing, extracting a specific issue from a plurality of stored issues based on the rank, and presenting the extracted issue to a user. 2. The method according to claim 1, wherein an extraction condition including information specifying an index and information specifying a rank is received from a user, and a brand having a specified rank is presented for the specified index. Item 1. The trading issue determination support method according to Item 1. 3. For a specified index, a list of issues having a specified rank is presented, an arbitrary issue is selected, and index values and ranks of a plurality of indices are presented for the selected issue. The method according to claim 2, further comprising: 4. The method according to claim 2, wherein, for a plurality of indexes, brands belonging to a predetermined rank are extracted and presented. 5. The method according to claim 2, wherein a score is assigned to each rank, and a brand is extracted and presented based on the score. 6. The trading issue determination support method according to claim 1, wherein the index value is updated by obtaining a new index value at predetermined time intervals or at a constant timing. 7. A predetermined expected value is obtained when a current value of an index is obtained for a rank and a trade is performed at a timing at which the obtained index value was obtained in the past for each target brand. The method according to any one of claims 1 to 6, wherein a probability is obtained and set based on the probability. 8. A probability that a predetermined amount of price increase will be obtained when trading is performed at the timing when the same index value as that of the current time was obtained in the past for each target stock, and a purchase based on the obtained probability. 8. The method according to claim 7, further comprising setting a rank for the transaction. 9. A probability that a predetermined amount of price drop will be obtained when trading is performed at the timing when the same index value as the present time is obtained in the past for each target stock, and selling based on the obtained probability. 9. A method for determining a trade brand according to claim 7, wherein a rank for the trade is set. 10. The method according to claim 1, wherein the rank of each brand is set based on at least one of a winning rate, a profit rate, the number of trades, and an average holding period. How to support trading stock decision. 11. An index value updating means for obtaining and updating index values for a plurality of indices for a plurality of trading target issues; and Storage means for ranking and storing each trade target issue; instruction input means for inputting an instruction from a user; issues stored in the storage means based on the user's instruction input by the input means. And a presentation means for extracting a brand from among the brands based on the rank and presenting the brand to a user. 12. The instruction input means includes means for inputting information for designating an index and a rank, and the presentation means searches for and presents a brand having a designated rank with respect to a designated index. Comprising means,
12. The trading issue determination support system according to claim 11, wherein: 13. A means for presenting a list of issues having a designated rank for a designated index, and an index value and a rank of a plurality of indexes for an issue selected from the list. The system for presenting a transaction brand according to claim 12, further comprising: means for presenting. 14. The trading issue determination support system according to claim 12, wherein said presenting means includes means for extracting and presenting issues belonging to a predetermined rank with respect to a plurality of indices. 15. The system according to claim 12, wherein said presentation means assigns a score to each rank, and extracts and presents a brand based on the score. 16. The trading issue determination support according to claim 11, wherein said index value updating means obtains and updates an index value at predetermined time intervals or at a constant timing. system. 17. The index value updating means obtains a current value of each index for each trading brand, and sets a predetermined expected value when the obtained index value is traded at a timing obtained in the past. The trading issue determination support system according to any one of claims 11 to 16, wherein a probability that a value is obtained is determined, and a rank is set based on the probability. 18. The index value updating means finds a probability that a predetermined amount of price increase has been obtained when trading is performed at the timing when the same index value as the current time was obtained in the past for each target brand. 18. The trading issue determination support system according to claim 17, wherein a buying rank is set based on the obtained probability. 19. The index value updating means obtains the probability that a predetermined amount of price decrease has been obtained when trading is performed at the timing when the same index value as the current time was obtained in the past for each target brand. 19. The trading issue determination support system according to claim 17, wherein a selling rank is set based on the obtained probability. 20. The method according to claim 1, wherein the index value updating means sets a rank of each brand based on at least one of a winning rate, a profit rate, the number of trades, and an average holding period.
20. The trading issue determination support system according to any one of 1 to 19. 21. A computer which obtains and updates index values for a plurality of indices for a plurality of trading target issues, and, based on the index values updated by the index value calculating means, for each of the plurality of trades, A computer program for executing a process of ranking and storing target brands, extracting a specific brand from a plurality of stored brands based on the rank, and presenting it to a user. 22. A server computer connected to a plurality of user terminals via a network, comprising: transaction information storage means for receiving and storing transaction information including a transaction price for a plurality of target brands; An index value updating unit that obtains and updates index values for a plurality of indices based on the transaction information stored in the transaction information storage unit for the target brand, and an index value updated by the index value updating unit. Storage means for ranking and storing each of the plurality of trading target brands based on indices based on the indices, an extraction condition receiving means for receiving an extraction condition transmitted from the user terminal, Means for extracting, based on the rank stored in the storage means, a trade target issue matching the extraction condition, and transmitting the extracted issue to the user terminal. Server computer, characterized in that.