JP2003016282A - System and method for supporting market transaction - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a market transaction support system with which a predictive index calculated from the time series data of a market transaction is provided through a computer network to a client easily to comprehend. SOLUTION: This system is provided with a transaction database 12 for storing the time series data of the market transaction, a technical index calculating means 17 for calculating a technical index by technical analysis from the time series data of the market transaction stored on the transaction database 12, a chart means 18 for time sequentially plotting the calculated technical index by brands and making it into chart, a predictive index operating means 19 for operating the predictive index of a rate change by extracting a prescribed transfer point from the obtained chart and a web page storage part 13 storing a predictive index output web page 23 for outputting and displaying the operated predictive index to client terminals 2A-2C and when the operated predictive index is a rising rate, a fine mark 33 is displayed, when the index is a falling rate, a rainy mark 34 is displayed and when the index is a stagnant rate, a cloudy mark 35 is displayed respectively by the predictive index output web page 23.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention inputs time-series data for trading in various markets such as securities markets including stock markets, commodity markets, foreign exchange markets, financial markets and futures trading markets, and calculates the price. Market transaction support system that accurately grasps the flow and predicts time series data related to market transactions to use as guidelines for investment strategies and tactics and provides them to customers in an easy-to-understand manner via a computer network to support transactions. And method.

[0002]

2. Description of the Related Art In the stock market and the like, various means are used as an index for expressing transactions in a time series, in which data is analyzed by a computer and various fluctuation factors and fluctuations are analyzed. Attempts have been made to use predictive devices that take account of this.

[0003]

However, in many of these prediction devices, the user inputs by his / her own judgment, and a method for making this judgment accurate is not incorporated. In addition, since the analysis is performed using the given time series data as it is, there is a drawback that it is not possible to accurately grasp the influence of fluctuations and sufficiently satisfy the prediction accuracy and efficiency. For example, even if the buy instruction is successful, the sell instruction for it is too early and the price becomes 1.5 to 2 times higher after the sell instruction is issued, or the sell instruction is not issued in many cases. , Again, after the purchase instruction is issued 1
In some cases, it may be reduced by 0% to 50%, so most of the decisions must be made taking into account the opinions of investment experts.
It was not easily accessible to ordinary investors.

The present invention has been made in view of such circumstances, and calculates a forecast index from time-series data relating to market transactions and provides it to a customer through a computer network in an easy-to-understand manner to support the transaction. The purpose is to provide a market transaction support system.

[0005]

In order to achieve the above object, the market transaction support system of the present invention outputs forecast data of market transaction market conditions of stocks and the like to a customer terminal via a computer network. A system for supporting transactions, a transaction database for accumulating time series data of market transactions, and a technical index calculation means for calculating a technical index by technical analysis from the time series data of market transactions accumulated in the above transaction database. , A charting means for plotting the calculated technical indicators in time series for each stock into a chart, and a predictive indicator calculating means for extracting a predetermined turning point from the obtained chart to calculate a predictive indicator of the market change, A predictive index output web page that outputs and displays the calculated predictive index to the customer terminal is stored. Web page storage unit, the above-mentioned forecast index output web page, when the calculated forecast index is a rising market, a rising signal, a falling signal when it is a falling market, a stagnant signal when it is a stagnant market. , The point is that they are displayed respectively.

[0006] That is, the market transaction support system of the present invention is a technical database for accumulating time series data of market transactions, and a technical index for calculating a technical index by technical analysis from the time series data of market transactions accumulated in the transaction database. Index calculation means, charting means for plotting the calculated technical indexes in time series for each stock to form a chart, and a predictive index for extracting a predetermined turning point from the obtained chart and calculating a market change prediction index Computation means and a web page storage unit that stores a prediction index output web page for outputting and displaying the calculated prediction index to the customer terminal, the prediction index output web page, the calculated prediction index An up signal if the market is up, a down signal if the market is down,
When the market is stagnant, stagnant signals are displayed respectively.

As described above, when the forecast index is the up market, the up signal is the down market, and when it is the down market, the down market is the down market. Since it is output and displayed, the forecast index is derived from the time-series data related to market transactions and provided to the customer in an easy-to-understand form via a computer network, so that ordinary investors can easily use the transaction index. Can be used as a reference.

In the present invention, there is provided a brand extracting means for extracting the brand of the predictive index which has fluctuated within a predetermined period of time, and the predictive index output web page displays the predictive index of the brand extracted by the brand extracting means. In the case of including the variable issue output page, only the forecast index of the issue whose recent forecast index has changed can be viewed, and general investors can easily refer to the transaction.

In the present invention, there is provided a customer database in which customer data is registered and stored, in which the brands that the customer desires to trade are stored, and the brand extraction means for extracting the predictive index of the registered brand of each customer. If the forecast index output web page includes a customer registered brand output page that displays the forecast index of the brand extracted by the brand extraction means, only the forecast index of the brand the customer desires to trade. Since you can browse, only the information you want is extracted and provided, so you can save yourself the trouble of finding the information you want from a vast amount of information and it is extremely easy to use.

In the present invention, it has a customer database in which customer data is registered and stored, and a brand extracting means for extracting the brand of the predictive index that has fluctuated within a recent predetermined period.
The address of the customer terminal is stored in the customer database, the predictive index of the brand extracted by the brand extracting means,
When equipped with a variable issue sending means that sends an email to the customer terminal address of the customer who registered the issue, only the forecast index of the issue whose recent forecast index has changed is automatically Since it is delivered to the customer terminal by e-mail, it is easy for general investors to refer to the transaction.

In the present invention, there is a customer database in which customer data is registered and stored, and the customer database stores the address of the customer terminal, the brand that the customer desires to trade, and the ordering conditions for each brand. A method for comparing the latest transaction data of a customer's registered issue with the ordering conditions in the customer database to determine whether or not the specified ordering conditions are satisfied, and registering the issue when the ordering conditions are satisfied for the issue. To the customer terminal address of the customer
In the case where a means for sending a stock satisfying the ordering condition is sent by e-mail, or when the above-mentioned ordering condition includes at least one of the fluctuation of the prediction index for the registered stock of the customer, the upper limit price and the lower limit price In this case, since the brand satisfying the condition that the customer wants to place an order is automatically delivered to the customer terminal by e-mail, even if the data is not watched carefully every day, the timing of the order can be grasped without fail.

In the present invention, a performance database in which the fundamental index of each issue is stored is provided, and the prediction index calculation means calculates the prediction index by referring to the above-mentioned fundamental index in the chart calculated from the technical index. If so, the prediction index is calculated by adding the fundamental index to the data obtained by the technical analysis, so that more accurate prediction is possible.

The market transaction support method of the present invention is a method for supporting transaction by outputting forecast data of market transaction market conditions of stocks and the like to a customer terminal through a computer network. The step of accumulating the time series data of the transaction in the transaction database, the step of calculating the technical index by the technical analysis from the time series data of the market transaction accumulated in the above transaction database, and the calculated technical index in time series by issue. The step of plotting and charting, the step of extracting a predetermined turning point from the obtained chart and calculating the predictive index of the market change, and outputting the calculated predictive index to the customer terminal via the web page The main point is to have a step of displaying.

The market transaction support program of the present invention is a program for assisting transactions by outputting forecast data of market transaction market conditions of stocks and the like to a customer terminal via a computer network. Procedure for accumulating time series data of transactions in the transaction database, procedure for calculating technical indicators by technical analysis from time series data for market transactions accumulated in the above transaction database, and calculated technical indicators in time series for each issue. Procedure for plotting and charting, extracting predetermined turning points from the obtained chart, calculating a predictive indicator of market price change, and outputting the calculated predictive indicator to a customer terminal via a web page The main point is to cause the computer device to execute the procedure for displaying.

A recording medium on which the market transaction support program of the present invention is recorded is characterized in that the program according to claim 9 is recorded so that it can be read by a computer.

[0016]

BEST MODE FOR CARRYING OUT THE INVENTION Next, embodiments of the present invention will be described in detail.

In the following description, an example is shown in which the market transaction support system of the present invention is applied to a system that predicts stock market conditions and supports transactions.

FIG. 1 is a block diagram showing an example of the peripheral structure of the market transaction support system of the present invention. In the figure,
A WWW server (hereinafter referred to as "server") 1 is connected to the Internet 3 via a route control device and a telephone line, and stores a website including a web page 23 for providing information to customers including members by this system. Is.

Reference numerals 2A, 2B, 2C and 2D are terminal devices. 2A is a mobile terminal such as a mobile phone, 2B is a PD
A (Personal Digital Assist)
ant) and other portable information terminals, 2C is a laptop computer,
2D is a desktop personal computer, each of which is a CRT
It has an input unit such as a keyboard, a mouse, buttons, and a pen, as well as a display unit such as an LCD or LCD. In addition, each of the terminal devices 2A, 2B, 2C and 2D has an Internet 3
It has a WWW browser for browsing web pages existing on various WWW servers existing above.

Then, each terminal device 2A, 2B, 2C, 2
Each D is connected to the Internet 3 similarly to the server 1. Each of the above terminal devices 2A, 2B, 2C, 2D
Can function as the customer terminal and the administrator terminal of the present invention. Hereinafter, in this example, the terminal devices 2A, 2
B and 2C will be described as customer terminals, and the terminal device 2D will be described as an administrator terminal.

The server 1 has a transaction database 12 in which time series data of the stock market is accumulated. In this example, the data stored in the transaction database 12 is time series data mainly including transaction data such as high price, low price, closing price, volume, donation, and time data such as date.

The server 1 also plots the technical index calculation means 17 for calculating the technical index by the technical analysis from the time series data accumulated in the transaction database 12 and the calculated technical index in time series for each issue. Charting means 18 for charting
Prediction index calculating means 19 is provided for extracting a predetermined turning point from the obtained chart and calculating a prediction index of the market price change.

An example of the chart is shown in FIG. In this example, MACD is used as the technical index and MA
The inflection point of the curve 38 in which CD is plotted is used as a turning point, and is used as a predictive index of whether the market price change is an up market price or a down market price. Further, a case where the curve 38 is continuously within a predetermined fluctuation range is used as a predictive index that the market is stagnant.

Further, the server 1 is provided with a web page 23 for outputting and displaying the calculated prediction index to the customer terminals 2A, 2B, 2C. The web page 23 has a clear mark 33 as an ascending signal when the calculated prediction index is an ascending market, a rain mark 34 as a descending signal when the calculated market is a down market, and a stagnation when the market is stagnant. The cloud mark 35, which is a signal, is displayed.

As a result, when the forecast index is an uptrend, a clear mark is given, when it is a downtrend, a rain mark is given, and when it is a stagnant quote, a cloud mark is given, and the customer terminals 2A and 2B are respectively passed through the computer network. , 2C for output and display, the predicted index can be provided to the customer via the Internet 3 in an extremely easy-to-understand manner.

FIG. 3 is a system configuration diagram showing the server 1.

In the figure, 11 is a transmission / reception control unit,
Terminal devices 2A, 2 performed via the Internet 3
It controls communication including data transmission / reception for B, 2C, and 2D.

Reference numeral 12 is a transaction database, which stores time series data including transaction data such as high price, low price, closing price, volume, donation, and time data such as date as described above. In addition, the transaction database 12 includes
The chart of the technical index generated by the charting means 18 and the prediction index calculated by the prediction index calculation means 19 are stored.

Although not shown, the data stored in the transaction database 12 is the Internet 3
It can be input and stored from a terminal such as each stock exchange or a host computer via a communication line such as.

Reference numeral 15 is a customer database in which customer data of customers registered as members are registered and stored. The customer database 15 stores customer data such as a customer's name, address, postal code, telephone number, facsimile number, electronic mail address, member ID, and password. Further, the customer database 15 stores, for each customer, the brand that the registered customer desires to trade.

Further, the customer database 15 includes
For the issue-desired issue registered by the member customer, ordering conditions are stored when the customer places an order for the issue.
In the case of a buy order, the above-mentioned ordering conditions include a change in the forecast index to a rising market price, a maximum price, and the like. Also, in the case of a sell order, the fluctuation of the forecast index to the down market, the lower limit price, the price increase range from the time of purchase, etc. are included.

A web page storage unit 13 stores the web pages 23 constituting the above-mentioned website.

Reference numeral 14 is a program storage section in which a main program is stored. This main program is
Which is used in the control means 10 described later,
It is composed of a program that controls various operations in the control means 10 described later. Further, programs such as a program for setting authentication information (ID and password) of a customer who has registered as a member and a program for authenticating a member based on the authentication information are also stored as programs constituting the main program.

Reference numeral 10 is a control means, and as described above,
A technical index calculation means 17, a charting means 18, and a prediction index calculation means 19 are provided. Further, the control means 10 includes a database management means 16 and a brand extraction means 2
0, determination means 24, electronic mail generation means 21, and electronic mail transmission means 22 are provided.

The technical index calculating means 17 calculates the technical index by the technical analysis from the time series data accumulated in the transaction database 12. The technical index by the technical analysis used here is not limited to the above-mentioned MACD, and includes, for example, a simple moving average line, a modified moving average line, a weighted moving average line, an exponential smoothing average line, an envelope, a Bollinger band, Directional movement, RCI, Volume ratio, Wako volume ratio, On balance
Volume, EMV, Parabolic SAR, Ichimoku Kinko Hyo, Psychological Line, Momentum, ROC,%
Various technical indicators such as R oscillator, RSI, stochastic, deviation line and Shinohara ratio can be used.

The charting means 18 plots the technical indexes calculated by the technical index calculating means 17 in time series for each issue to form a chart (see FIG. 2 for an example of the chart when the technical index is MACD). ). The chart created by the charting means 18 is stored in the transaction database 12 as a part of the transaction data.

The predictive index calculating means 19 extracts a predetermined turning point from the chart obtained by the charting means 18 and calculates the predictive index of the market change. In this example, as described above, the inflection point of the curve 38 in which the MACD is plotted is used as a turning point, and is used as a predictive index of whether the market price change is an up market price or a down market price. Further, a case where the curve 38 is continuously within a predetermined fluctuation range is used as a predictive index that the market is stagnant.

The predictive index calculated by the predictive index calculating means 19 is reflected on the web page 23 stored in the web page storage unit 13. Then, the web page 23 on which the latest prediction index is reflected is output and displayed on the customer terminals 2A, 2B, 2C that have accessed the server 1 via the Internet 3. In this example, as described above, when the prediction index is the uptrend, the clear mark 33,
A rain mark 34 is displayed on the web page 23 when the market is a down market, and a cloudy mark 35 is displayed when the market is stagnant. Further, the predictive index calculated by the predictive index calculating means 19 is stored in the transaction database 12 as a part of the transaction data.

The stock extraction means 20 refers to the stocks of the members who wish to trade registered in the customer database 15.
A predictive index for each member's desired transaction is extracted from the transaction database 12. The predictive index for each member's desired trading stock extracted by the stock extraction means 20 is a web page 23 stored in the web page storage unit 13 (a web page for members who collects registered stocks for each member; It is reflected in the registered brand browsing page 31 "; see FIG. 4). Then, the registered brand browsing page 31 in which the latest prediction index is reflected is output and displayed to the customer terminals 2A, 2B, 2C of registered members who have accessed the server 1 via the Internet 3.

Further, the brand extracting means 20 extracts the brand of the predictive index output from the predictive index calculating means 19 that has changed within a recent predetermined period. The brand extracting means 20
The predictive index for the recently changed stock extracted in the above is the web page 23 stored in the web page storage unit 13.
(Web page for members collecting the stocks that have changed; hereinafter referred to as "floating stock browsing page 32"; see FIG. 4). Then, the variable issue browsing page 32 on which the latest prediction index is reflected is output and displayed on the customer terminals 2A, 2B, 2C of registered members who have accessed the server 1 via the Internet 3.

The judgment means 24 compares the latest transaction data including the prediction index with the ordering conditions stored in the customer database 15 for the registered brand of the customer, and the data of the registered brand has a predetermined ordering condition. Judge whether or not it is satisfied.

For example, if, as the above-mentioned ordering condition, the fluctuation of the forecast index to the ascending price and the upper limit price are set for the buy order, the forecast index is the ascending price as the latest transaction data of the registered issue. When the condition that the price fluctuates and is lower than the set upper limit price is satisfied, it is determined that the ordering condition is satisfied.

Further, when the downward movement of the forecast index, the lower limit price, and the range of price increase from the time of purchase are set for the sell order, the forecast index falls as the latest transaction data of the registered issue. When the market price fluctuates and the condition that the price exceeds the set minimum price or the price increase range from the time of purchase is the set value or more, it is determined that the ordering condition is satisfied.

The e-mail generation means 21 and the e-mail transmission means 22 are e-mails for transmitting the predictive index of the registered brand of the customer extracted by the brand extraction means 20 to the customer who has registered the brand. Is generated and transmitted to the address of the customer terminal 2A, 2B, 2C of the customer. Further, when the ordering condition is satisfied for the registered brand of the customer by the judging means 24, an e-mail for transmitting the brand satisfying the ordering condition to the customer who has registered the brand is generated. The customer terminals 2A, 2B of the customer,
Send to 2C address.

The database management means 16 manages the data stored in the transaction database 12 and the customer database 15 such as writing new data, extracting by data retrieval, reading and updating.

FIG. 4 shows the structure of the web page 23 stored in the web page storage unit 13 of the server 1. The web page 23 is a home page of the market transaction support system of the present invention, a top page 25, a general guide page 26 accessible by selection from a menu displayed on the top page 25, and a forecast index browsing page. 27, member registration page 28, member login page 29, brand registration page 30, registered brand browsing page 31,
Fluctuating issue browsing page 32 and detailed data browsing page 3
It consists of 7.

On the general guide page 26, the contents of services provided by the market transaction support system of the present invention, necessary information for stock investment, etc. are explained.

The predictive index browsing page 27 is a page for displaying and browsing the latest predictive index calculated by the predictive index calculating means 19 for each brand.

Here, an example of the prediction index browsing page 27 is shown in FIG. In this example, the brand name is displayed, and the fine mark 33, the rain mark 34, and the cloudy mark 35 showing the latest forecast index calculated by the forecast index calculating means 19 and the currently displayed forecast index for each brand. The number of consecutive days that the same forecast index has continued since then is displayed for each stock. Further, a detail button 36 that jumps to a detailed data browsing page 37 that displays detailed information such as charts and stock prices of each issue is displayed.

As described above, in the present system, the clear mark 33 is used when the forecast index of each stock is an up market, the rain mark 34 is used when the market is a down market, and the cloud mark 35 is used when the market is stagnant. By outputting and browsing the customer terminals 2A, 2B, and 2C via the Internet 3 respectively, the prediction index can be provided to the customer in an extremely easy-to-understand manner.

The member registration page 28 is a page for the customer to register as a member, and stores the customer data stored in the customer database 15 such as the customer's name, address, zip code, telephone number, facsimile number, and e-mail address. Input etc. is performed. In addition, an ID or password assigned to each registered member is added as necessary. The ID and password can be assigned by using electronic mail.

On the member login page 29, the member is authenticated by inputting the ID and password given by the member registration. Only members who are authenticated by this member login page 29, issue registration page 30, registered issue browsing page 31, variable issue browsing page 3
You can browse the 2nd class.

On the brand registration page 30, a customer who has registered as a member performs new registration of a brand that the customer desires to place an order for, and registration changes such as addition or deletion of a brand already registered. The number of brands registered here may be one or more.

The registered brand browsing page 31 is a page browsed by the customer who registered the brand on the brand registration page, and is created for each customer who registered the brand. The registered brand browsing page 31 is a page on which the brand registered by the customer, who is a member, is extracted and the prediction index of the brand is displayed for browsing.

Here, an example of the registered brand browsing page 31 is shown in FIG. In this example, a list of predictive indexes for registered brands by customers who are members is displayed. By doing so, only the forecast index of the stock that the customer wants to trade can be browsed, so that only the desired information is extracted and provided, and it is extremely easy to use without the trouble of searching for the desired information from the vast amount of information. In addition, the brands for which the prediction index has changed within the latest predetermined period are extracted and displayed separately from the other brands. By doing this,
It is easy for general investors to refer to the forecast indicators for stocks that have changed recently.

On the variable brand browsing page 32, from the predictive indices of the brands displayed on the predictive index browsing page 27, the brands whose predictive indices have fluctuated within the latest predetermined period are extracted and displayed in a list. It is a page. By doing so, it is possible to browse only the forecast index of the stock whose forecast index has changed recently, and it is easy for general investors to refer to it.

The registered brand browsing page 31 and the variable brand browsing page 32 are the prediction index browsing page 27, respectively.
It has a detailed button 36 similar to, and jumps to a detailed data browsing page 37 displaying detailed information such as charts and stock prices of each issue.

As described above, according to the above system, the clear mark 33 is provided when the forecast index is an up market, the rain mark 34 is provided when the predictive index is a down market, and the cloud mark 35 is provided when the forecast index is a stagnant market. Since it is output and displayed on the customer terminals 2A, 2B, 2C via the Internet 3, the forecast index can be provided to the customer in an easy-to-understand manner, and can be easily used by general investors for reference of transactions. it can.

FIG. 7 is a system configuration diagram showing a server used in the market transaction support system of the second embodiment of the present invention. This server has a performance database 9 in which performance data of each brand company and fundamental indexes are stored. Then, in this example, the prediction index calculation means 19
In calculating the prediction index, the prediction index is calculated by referring to the chart calculated from the technical index and the performance data of each issue and the fundamental index stored in the performance database 9.

Here, as the fundamental index, for example, ROE (return on equity), EPS (profit per share), dividend yield, expected return on investment, asset turnover ratio, sales margin ratio, sales growth rate. , Ordinary profit growth rate,
Net income growth rate, EPS growth rate, PER (price-earnings ratio), PBR (price-net asset ratio), PCFR (price-cash flow ratio), market capitalization, equity capital per share,
EDP (expected debt excess probability), equity ratio, volatility, etc. can be used.

As described above, since the prediction index is calculated by adding the fundamental index to the data obtained by the technical analysis, more accurate prediction is possible. Other than that, it is the same as the above-described first embodiment, and has the same effect.

In each of the above embodiments, an example in which the present invention is applied to a stock trading support system is shown, but the present invention is not limited to this, and a securities market including a stock market,
It can be applied to trading support systems in various markets such as commodity markets, foreign exchange markets, financial markets and futures trading markets.

Further, in each of the above-mentioned embodiments, when the calculated prediction index is the rising market, the clear mark 33 is used as the rising signal, and when it is the falling market, the rain mark 34 which is the falling signal is used in the stagnant market. In some cases, the cloud signal 35, which is a stagnation signal, is displayed, but the present invention is not limited to this, and "○", "×", "△"
It is possible to use a mark such as “”, or an arbitrary display such as “excellent”, “impossible”, “acceptable”.

[0064]

As described above, according to the market transaction support system of the present invention, when the forecast index is the up market, the up signal is the down market, and when the down signal is the down market, the down market is the stagnant market. Since the stagnation signal is output to and displayed on the customer terminal via the computer network, the forecast index is derived from the time series data related to market transactions and provided to the customer in an easy-to-understand manner via the computer network. This makes it easy for general investors to use and refer to transactions.

[Brief description of drawings]

FIG. 1 is a block diagram showing a peripheral structure of a market transaction support system according to an embodiment of the present invention.

FIG. 2 is a diagram showing an example of a chart.

FIG. 3 is a system configuration diagram showing a server of the system of the present invention.

FIG. 4 is a diagram showing a configuration of a web page included in the system of the present invention.

FIG. 5 is a diagram showing an example of a prediction index browsing page.

FIG. 6 is a diagram showing an example of a registered brand browsing page.

FIG. 7 is a system configuration diagram showing a server of the system according to the second embodiment of the present invention.

[Explanation of symbols]

1 server 2A terminal device 2B terminal device 2C terminal device 2D terminal device 3 Internet 9 achievement database 10 Control means 11 Transmission / reception control unit 12 trading database 13 Web page storage 14 Program storage 15 Customer database 16 Database management means 17 Technical index calculation means 18 Charting means 19 Prediction index calculation means 20 Brand extraction means 21 E-mail generation means 22 E-mail sending means 23 Web pages 24 Judgment means 25 Top page 26 General information page 27 Prediction index browsing page 28 Member registration page 29 Member login page 30 stock registration page 31 Registered issues browsing page 32 Fluctuating issues browsing page 33 clear mark 34 rain mark 35 Cloudy mark 36 Details button 37 Detailed data browsing page

Claims (10)

[Claims] [Claim 1] Forecast data of market trading market conditions for stocks, etc.
A system for supporting transactions by outputting to a customer terminal via a computer network, the transaction database accumulating time series data of market transactions, and the time series data of market transactions accumulated in the transaction database. Technical index calculation means to calculate technical index by technical analysis, charting means to plot the calculated technical index in time series for each issue and chart, and extract a predetermined turning point from the obtained chart Prediction index calculation means for calculating a prediction index of market price change, and a prediction index output web page for outputting and displaying the calculated prediction index to a customer terminal The web page has a rising signal when the calculated forecast index is a rising market A falling signal in the case of a place,
A market transaction support system characterized by displaying stagnant signals when the market is stagnant. 2. A variable brand comprising a brand extraction unit for extracting a brand of a forecast index that has fluctuated within a recent predetermined period, and the forecast index output web page displays a forecast index of the brand extracted by the brand extraction unit. The market transaction support system according to claim 1, which includes an output page. 3. A customer database having customer data registered and stored therein, stocks for which a customer wants to trade are stored in the customer database, and a stock extraction means for extracting a predictive index of a stock registered by each customer is provided. 3. The market transaction support system according to claim 1, wherein the prediction index output web page includes a customer registered brand output page displaying a prediction index of the brand extracted by the brand extraction means. 4. A customer database in which customer data is registered and stored, and a brand extracting means for extracting a brand of a prediction index that has fluctuated within a recent predetermined period, and the customer terminal address is stored in the customer database. And a variable brand transmitting means for transmitting the predictive index of the brand extracted by the brand extracting means by e-mail to the address of the customer terminal of the customer who has registered the brand. Three
The market transaction support system according to any one of 1. 5. A customer database in which customer data is registered and stored, wherein the customer terminal address, the brand that the customer desires to trade, and the ordering conditions for each brand are stored in the customer database. A means for comparing the latest transaction data for a registered issue with the ordering conditions in the customer database to determine whether the specified ordering conditions are satisfied, and the customer who registered the issue when the ordering conditions were satisfied for the issue. 5. The market transaction support system according to any one of claims 1 to 4, further comprising: means for transmitting a brand satisfying the ordering condition by e-mail to the address of the customer terminal. 6. The market transaction support system according to claim 5, wherein the ordering condition includes at least one of a change in a prediction index for a registered brand of a customer, an upper limit price, and a lower limit price. 7. A performance database in which the fundamental indicators of each brand are stored is provided, and the forecast indicator calculating means calculates the forecast indicators by referring to the above-mentioned fundamental indicators in the chart calculated from the technical indicators. The market transaction support system according to any one of claims 1 to 6. 8. The forecast data of market trading market conditions for stocks,
A method of supporting transactions by outputting to a customer terminal via a computer network, the method comprising the steps of accumulating time series data of market transactions in a transaction database, and the time of market transactions accumulated in the transaction database. The step of calculating the technical index by the technical analysis from the series data, the step of plotting the calculated technical index in time series for each issue to make a chart, and extracting the predetermined turning point from the obtained chart, A market transaction support method comprising: a step of calculating a prediction index; and a step of outputting the calculated prediction index to a customer terminal via a web page and displaying the result. 9. The forecast data of market trading market conditions of stocks,
A program for supporting transactions by outputting to a customer terminal via a computer network, the procedure for accumulating time series data of market transactions in a transaction database, and the time of market transactions accumulated in the transaction database. The procedure to calculate the technical index by the technical analysis from the series data, the procedure to plot the calculated technical index in time series for each stock, and the chart, and to extract the predetermined turning point from the obtained chart, A market transaction support program characterized by causing a computer device to execute a procedure of calculating a prediction index and a procedure of outputting the calculated prediction index to a customer terminal via a web page and displaying the result. 10. A computer-readable recording medium in which the program according to claim 9 is recorded in a computer-readable manner.