WO2011081161A1 - Method for displaying stock chart - Google Patents

Abstract

Provided is a method for displaying a stock chart, which makes it possible to display a pattern distribution zone suitable for accurately judging market psychology (sentiment) that indicates a buying trend or a selling trend. The method for displaying a stock chart includes: a setting step for setting a single pattern display zone to be plotted adjacent to a base line within a rectangular display region, in response to a predetermined user operation; and an image editing step for editing an image of the pattern distribution zone by cyclically shifting, within the rectangular display region and in the vertical direction, the pattern display zone which comprises six colors that form the image of the pattern distribution zone, in such a way that the single pattern display zone set in the setting step is plotted adjacent to the base line within the rectangular display region.

Description

How to display a stock chart

The present invention relates to a stock price chart display method using Masuda, a display system, and a client machine included in the display system.

The present applicant has previously proposed a stock price chart (generally referred to as “Masuda foot chart”) that is easy for beginners to view and suitable for stock price trend prediction (see Patent Document 1). That is, according to the Masuda chart, the unit value (daily price, weekly price, or monthly price) in the time axis direction of the stock price chart has a pair of stock price moving average values that are in succession as upper and lower ends and tends to increase or decrease. It is represented by a vertical bar symbol with a corresponding color.

The applicant has also proposed a method for classifying a stock price chart into six sections along the time axis based on the magnitude relationship between short-term, medium-term, and long-term stock price moving averages. In other words, according to this classification method (generally referred to as “six-color pattern classification”), the stock price chart of any brand is the pattern A section (short term> long term> medium term) corresponding to the entrance of the uptrend, the rise Pattern B section corresponding to the trend (short term> medium term> long term), pattern C section corresponding to the collapse of the upward trend (medium term> short term> long term), pattern D section corresponding to the entrance of the downward trend (medium term> long term> short term) And a pattern E section corresponding to the downtrend (long term> medium term> short term) and a pattern F section (long term> short term> medium term) corresponding to the end of the downtrend (see Patent Document 2). .

The applicant further proposed a stock price chart display method in which a pattern distribution band image is displayed on the screen of a display device using the above-described six-color pattern classification (see Patent Document 3).

In this stock price chart display method, the number of appearances for each pattern at each reference time for a series of stocks included in a base stock group when generating a typical stock price trend index such as Nikkei 225 or TOPIX. And a pattern distribution band image related to a series of issues included in the basic issue group is displayed in a predetermined area of the display screen based on the appearance number sequence for each pattern thus obtained.

According to the pattern distribution band image displayed on the screen in this way (for example, color-coded for each band), the magnitude relationship of the number of appearances of each of the six color patterns (A pattern to F pattern) at each time point on the time axis. Can be recognized intuitively, and the user can grasp the market psychology more accurately.

Japanese Patent Laid-Open No. 11-66154 Japanese Patent Laid-Open No. 2003-85381 JP 2006-244461 A

However, a pattern distribution band image displayed by such a conventional stock price chart display method is displayed in a predetermined rectangular order within a horizontally long rectangular display area defined between a base line and a ceiling line. Since only the pattern display band to the F pattern display band are arranged, the general size relationship between the display widths of the six pattern display bands at each time point can be understood relatively easily. The absolute value of the display width itself is difficult to read accurately, and as a result, there is a problem that it sometimes hinders analysis of stock price trends.

The present invention has been made by paying attention to such conventional problems, and its purpose is to accurately determine the market sentiment (sentiment), for example, whether it is a selling tendency or a buying tendency. It is an object to provide a stock price chart display method capable of displaying a suitable pattern distribution band image.

Another object of the present invention is to provide a stock price chart display system by a client-server system capable of displaying such a pattern distribution band image.

Another object of the present invention is to provide a client machine suitable for constructing the stock price chart display system and a computer program capable of realizing such a client machine.

Further objects and operational effects of the present invention will be easily understood by those skilled in the art by referring to the following description of the specification.

The above technical problems include a stock price chart display method having the following configuration, a stock chart display system using a client / server system, a client machine suitable for constructing the stock price chart display system, and such a client machine. It can be solved by a possible computer program.

That is, this stock price chart display method is a stock price chart display method executed using a system composed of a server device and a client machine connected via the Internet, from a stock price information issuer via the Internet. A first step of constructing a database including stock price information for the most recent predetermined maximum period for each of a group of stocks based on the stock price information acquired by the method, and at least one selected from a day, a week, and a month Each of the latest short-term, medium-term, and long-term moving average values of the stock price in the time unit is determined based on the stock price information of each of the specified stocks on the database, and the short-term, medium-term, And a second step of storing a moving average data string of long-term stock prices in a predetermined memory for each brand, Nikkei 225, For a group of basic stocks that are used as the basis for calculating one stock price trend index such as OPIX, etc., it is classified into any of the six types of patterns in which the magnitude relationship of the moving average value of short-term, medium-term, and long-term stock prices is predetermined. Is checked based on the moving average value data string of each brand stored in the memory by the second step, and the appearance number data for each pattern at each reference time is counted. A third step of storing the number-of-appearance-specific appearance number data sequence in a predetermined memory, and a screen of a predetermined display based on the pattern-wise appearance number data sequence stored in the memory by the third step Each of the reference time positions in the rectangular display area sandwiched between the upper base line and the ceiling line corresponds to the number of appearances of the six types of patterns at the reference time. Pattern distribution including six color pattern display bands continuous in the time axis direction in the rectangular display area by arranging the display band symbols of a specific color having a length to be aligned in the stock price axis direction in a predetermined order And a fourth step of drawing a band image.

The fourth step includes a setting step for setting one pattern display band to be drawn adjacent to the base line in the rectangular display region in response to a predetermined user operation, and the setting step The six color patterns constituting the pattern distribution band image in the rectangular display area so that one pattern display band set in step 1 is drawn adjacent to the base line in the rectangular display area An image editing step of editing the pattern distribution band image by cyclically shifting the display band in the vertical direction, and further including at least the first step and the fourth step among the first step to the fourth step. Step 2 is executed by the server device, and at least the fourth step is executed by a client machine.

According to such a configuration, it is possible to arbitrarily set one pattern display band to be drawn adjacent to the base line of the pattern distribution band image display area on the display screen by a predetermined user operation. When it is desired to check the display width of each pattern display band precisely, the display width of the desired pattern band can be easily grasped by setting the pattern display band to be adjacent to the base line or the ceiling line. At this time, the fourth step is based on the short-term, medium-term, and / or short-term, medium-term, and / or long-term stock price moving average data stored in the predetermined memory in the second step. Alternatively, a long-term Masuda foot curve may be generated, and these Masuda foot curves may be displayed side by side with the pattern distribution band image in the rectangular display area by aligning the time axes.

In a preferred embodiment, one group of two or more basic brand groups prepared in advance is selected and set as the group of basic brands used in the third step in response to a predetermined selection operation in the client machine. You may make it.

According to such a configuration, a plurality of basic stock groups for generating the stock price trend index are prepared in advance, and by selecting one of them, the stock price trend can be grasped more accurately and appropriate for buying and selling. It is possible to know the correct timing.

The present invention viewed from another aspect can also be grasped as a stock price chart display system based on a client-server system.

This stock price chart display system is configured such that a server device and a client machine can be connected via the Internet.

The server device includes a first means for constructing a database including stock price information for the most recent predetermined maximum period for each of a group of stocks based on stock price information obtained from a stock price information issuer via the Internet; Based on the stock price information of each of the specified stocks on the database, the moving average values of the latest short-term, medium-term, and long-term stock prices at the base time in at least one time unit selected from week, month and month The second means for storing the moving average data string of the short-term, medium-term, and long-term stock prices obtained in this way in a predetermined memory for each stock, and a stock price trend index such as Nikkei 225 or TOPIX Any of six types of patterns for which the magnitude relationship of the moving average value of short-term, medium-term, and long-term stock prices is determined in relation to a group of basic issues used as the basis for calculating Is determined based on the moving average value data string of each brand stored in the predetermined memory by the second means, and the appearance number data for each pattern at each reference time is obtained. The third means for storing the appearance number data string for each pattern thus obtained in a predetermined memory, and the appearance number data string for each pattern obtained by the third means are read from the predetermined memory. And first data transmitting means for transmitting to the client machine.

The client machine has a first means for storing an occurrence number data string for each pattern sent from the server device in a predetermined memory, and an appearance number for each pattern stored in the predetermined memory by the first means. Based on the data string, each of the reference time positions in the rectangular display area sandwiched between the base line and the ceiling line on the screen of the predetermined display is set to the appearance number of each of the six types of patterns at the reference time. A pattern including six color pattern display bands that are continuous in the time axis direction in the rectangular display area by arranging the display band symbols of corresponding colors having a corresponding length in the stock price axis direction in a predetermined order. Second means for drawing a distribution band image.

The second means includes a setting means for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area in response to a predetermined user operation, and the setting means The six color patterns constituting the pattern distribution band image in the rectangular display area so that one pattern display band set in step 1 is drawn adjacent to the base line in the rectangular display area Image editing means for editing the pattern distribution band image by cyclically shifting the display band in the vertical direction.

Even in such a stock price chart display system, it is possible to arbitrarily set one pattern display band to be drawn adjacent to the base line of the pattern distribution band image display area on the display screen by a predetermined user operation. Therefore, when you want to check the display width of each pattern display band precisely, set the pattern display band so that it is adjacent to the base line or ceiling line, and easily grasp the display width of the desired pattern band. Can do. At this time, the server device reads out a moving average value data string of short-term, medium-term, and / or long-term stock prices related to one brand designated in the client machine from the predetermined memory, and sends it to the client machine. Including a second data transmission means for transmitting, based on a moving average value data string of short-term, medium-term, and / or long-term stock prices relating to one brand transmitted from the first server device. First, a short-term, medium-term, and / or long-term Masuda foot curve for one brand is generated, and these Masuda foot curves are aligned with the time axis and displayed side by side with the pattern distribution band in the rectangular display area. It is also possible to include this means.

In a preferred embodiment, the group of basic brands used in the third means included in the server device are two or more basics prepared in advance in response to a predetermined switching operation in the client machine. One brand group may be selected and set.

According to such a configuration, a plurality of basic stock groups for generating the stock price trend index are prepared in advance, and by selecting one of them, the stock price trend can be grasped more accurately and appropriate for buying and selling. It is possible to know the correct timing.

The present invention viewed from another aspect can also be grasped as a client machine for displaying a stock price chart.

That is, this client machine for displaying a stock price chart is a client machine used in a client server system in which a server machine and a client machine are connected via the Internet, and sent from the server machine. For a group of basic stocks, such as Nikkei 225 and TOPIX, which are used as the basis for calculation of one stock price trend index, there are six patterns classified by the magnitude relationship of the moving averages of short-term, medium-term, and long-term stock prices. And a base on the screen of the predetermined display unit based on the first number means for storing the number-of-appearance number data string in a predetermined memory and the number-of-appearance number data string for each pattern stored in the predetermined memory by the first means. Each of the six types of patterns at the reference time at each reference time position in the rectangular display area sandwiched between the line and the ceiling line By arranging display band symbols of inherent colors having a length corresponding to the number of appearances in the stock price axis direction in a predetermined order, a pattern display band of six colors continuous in the time axis direction in the rectangular display region And a second means for drawing a pattern distribution band image including.

The second means includes a setting means for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area in response to a predetermined user operation, and the setting means The six color patterns constituting the pattern distribution band image in the rectangular display area so that one pattern display band set in step 1 is drawn adjacent to the base line in the rectangular display area Image editing means for editing the pattern distribution band image by cyclically shifting the display band in the vertical direction.

Even with such a configuration, it is possible to arbitrarily set one pattern display band to be drawn adjacent to the base line of the pattern distribution band image display area on the display screen by a predetermined user operation. When it is desired to accurately check the display width of the pattern display band, the display width of the desired pattern band can be easily grasped by setting the pattern display band to be adjacent to the base line or the ceiling line.

In a preferred embodiment, third means for storing a moving average value data sequence of short-term, medium-term, and / or long-term stock prices related to one brand sent from the server device in a predetermined memory; Based on the moving average data sequence of short-term, medium-term, and / or long-term stock prices stored in a predetermined memory by means of 3, the short-term, medium-term, and / or long-term Masuda foot curves for one stock And a fourth means for generating and displaying these Masuda foot curves in alignment with the pattern distribution bands in the rectangular display area with the time axis aligned.

The present invention viewed from another aspect can also be grasped as a computer program capable of realizing such a client machine.

That is, a computer program capable of realizing this client machine is a client machine used in a client server system in which a server apparatus and a client machine are connected via the Internet, and is sent from the server apparatus. In addition, regarding a group of basic issues such as Nikkei 225 and TOPIX, which are used as the basis for calculating one stock price trend index, there are six types of patterns classified by the magnitude relationship of short-, medium- and long-term stock prices. Based on the first means for storing another occurrence number data string in a predetermined memory and the appearance number data string for each pattern stored in the predetermined memory by the first means, Each of the reference time positions in the rectangular display area sandwiched between the base line and the ceiling line has six types of patterns at the reference time. 6 colors that are continuous in the time axis direction in the rectangular display area by arranging display band symbols of unique colors having a length corresponding to the number of appearances in the stock price direction in a predetermined order. And a second means for drawing a pattern distribution band image including the pattern display band, and the second means is adjacent to the base line in the rectangular display area in response to a predetermined user operation. And setting means for setting one pattern display band to be drawn, and one pattern display band set by the setting means is drawn adjacent to the base line in the rectangular display area. And an image editing means for editing the pattern distribution band image by cyclically shifting the six color pattern display bands constituting the pattern distribution band image in the vertical direction within the rectangular display area. It is intended causing a computer to function as a client machine, according to claim.

In a preferred embodiment, the computer program stores a moving average value data sequence of short-term, medium-term, and / or long-term stock prices related to one stock sent from the server device in a predetermined memory. And a short-term, medium-term, and / or long-term stock for one stock based on the short-term, medium-term, and / or long-term stock price moving average data string stored in a predetermined memory by the third means. And a fourth means for displaying these Masuda foot curves in alignment with the pattern distribution band in the rectangular display area by aligning the time axes with each other.

According to the present invention, it is possible to display a pattern distribution band suitable for accurately judging a market sentiment (sentiment) such as a selling tendency or a buying tendency.

1 is a configuration diagram of a stock price chart display system to which the present invention is applied. It is a block diagram which shows the structure of a server apparatus. It is a block diagram which shows the structure of a client machine. It is a figure which shows an example of stock price information. It is a figure which shows the data content stored in a daily stock memory | storage part. It is a figure which shows the data content stored in a weekly memory | storage part. It is a figure which shows the data content stored in a monthly leg memory | storage part. It is explanatory drawing which shows the content of the data stored in a 6 color pattern memory | storage part. It is explanatory drawing which shows the content of the data stored in the appearance count memory | storage part according to pattern. It is explanatory drawing which shows the relationship between the magnitude relationship of a weekly moving average line (long term, middle term, short term), and a 6-color pattern. It is a schematic flowchart which shows the operation content of a server apparatus. It is a flowchart which shows the detail of stock price information input processing. It is a flowchart which shows the detail of foot data preparation processing. It is a flowchart (the 1) which shows the detail of an appearance number data creation process according to pattern. It is a flowchart (the 2) which shows the detail of an appearance number data creation process according to pattern. It is a flowchart which shows the operation | movement by the side of a client machine roughly. It is a flowchart which shows the detail of Masuda foot display processing. It is a flowchart which shows the detail of a pattern distribution zone display process. It is a flowchart which takes out and shows a part of system service process. It is a figure which shows the example of calculation of the closing price average value by a daily bar. It is a figure which shows an example of the short-term Masuda foot curve by a daily bar. It is a figure which shows the example of a guidance display relevant to a pattern distribution zone display process. It is explanatory drawing of the cyclic shift process of a display zone symbol. It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (basic pattern = pattern A, "yellow"). It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (base pattern = pattern B, "green"). It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (base pattern = pattern C, "red"). It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (basic pattern = pattern D, "blue"). It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (basic pattern = pattern E, "black"). It is a figure which shows the example of a display of a Masuda foot chart and a pattern distribution zone (base pattern = pattern F, "white"). It is a figure which shows the example of a display of the Masuda foot chart and pattern distribution zone for demonstrating the effect | action of this invention (the 1). It is a figure which shows the display example (the 2) of a Masuda foot chart and pattern distribution band for demonstrating the effect | action of this invention. It is a figure which shows the display example (the 3) of a Masuda foot chart and pattern distribution zone for demonstrating the effect | action of this invention. It is a figure which shows the display example (the 4) of a Masuda foot chart and pattern distribution band for demonstrating the effect | action of this invention. It is a figure which shows the display example (the 5) of the Masuda foot chart and pattern distribution zone for demonstrating the effect | action of this invention.

Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. A block diagram of a stock price chart display system based on a client / server system according to an embodiment of the present invention is conceptually shown in the block diagram of FIG.

As shown in the figure, this stock price chart display system 100 is configured such that a server device (Web server) 10 and a client machine (for example, a personal computer, a PDA, a mobile phone, etc.) 20 can be connected via the Internet 40. It will be. In the figure, reference numeral 30 denotes a stock price information issuer such as a stock exchange.

FIG. 2 is a block diagram showing the configuration of the server device. As shown in FIG. 1, the server device 10 includes a main body unit 101, an input unit 102, and an output unit 103.

The main body unit 101 includes a central processing unit 101a, a stock price storage unit 101b, a foot data storage unit 101c, a 6-color pattern storage unit 101d, and an appearance count storage unit 101e for each pattern.

The central processing unit 101a appropriately reads out and executes a program storage device 101a-2 that stores a computer program necessary for realizing a function as a server device and a computer program stored in the program storage device 101a-2. Thus, the CPU 101a-1 that realizes various functions as a server device is included. Examples of the computer program stored in the program storage device 101a-2 include various computer programs described later with reference to the flowcharts of FIGS.

In this example, the stock price storage unit 101b is realized by partially allocating a storage area of a hard disk provided inside the server device 10. The stock price storage unit 101b stores a database including stock price information for the most recent predetermined maximum period regarding each of a predetermined group of stocks. As will be described in detail later, this database is stock price information acquired from the stock price information issuer 30 via the Internet by the action of the transmission / reception unit 102b constituting the input unit 102 (in this example, about the TSE portion). 1660 brands are included).

An example of stock price information included in a database stored in the stock price storage unit 101b is shown in FIG. As shown in the figure, this stock price information is “date”, “open price”, “high price”, “low price”, “close price”, and “volume” when the stock price information is acquired for one stock issue. Are stored in association with each other as data for one day. The “date” is referred to when specifying the stock price (closing price) on the current day, the previous day, and the day before, when calculating the short-term closing price average value, for example, in the generation of the daily Masuda chart.

In the present embodiment, the daily closing price data for the latest 450 days is used to create the daily Masuda chart, and the latest 192 weeks of the week is used to create the weekly Masuda chart. The closing price data for the day (for example, every Friday) and the closing price data for the day representing the most recent month for 176 months (for example, the last day of every month) are used for creating the monthly Masuda chart. . Therefore, stock price information for at least a predetermined maximum number of days (N days) necessary for performing these calculations is stored in the stock price storage unit 101b.

The foot data storage unit 101c includes a daily foot storage unit 101c-1 for storing foot data necessary for drawing a daily short-term, medium-term, and long-term Masuda foot chart, and a short-term, medium-term, and long-term Masuda foot Weekly foot storage unit 101c-2 for storing the foot data necessary for drawing the foot chart, and monthly foot storage unit 101c for storing the foot data necessary for drawing the short-, middle- and long-term Masuda foot charts for the monthly foot -3 is included. Here, as is well known to those skilled in the art, the “foot” in the Masuda chart is equivalent to one day (in the case of the Masuda chart), one week (week) (In the case of the Masuda foot chart), this is a bar-like symbol that represents the magnitude of the increase or decrease in the stock price for January (in the case of the Masuda foot chart) by its length and color.

The contents of the foot data stored in the daily foot storage unit 101c-1, the weekly foot storage unit 101c-2, and the monthly foot storage unit 101c-3 of the foot data storage unit 101c are shown in FIGS. 5A to 5C, respectively.

As shown in FIG. 5A, in the daily stock storage unit 101c-1, for each stock issue (only one specific issue is shown in the figure), the 4th day to the D day (the D day is the latest date). Assumed foot data is stored.

The foot data for each day are (1) the closing price moving average for the short-term (3 days), medium-term (25 days), and long-term (75 days) for each of the previous day and today, and (2) the previous day and today, respectively. (3) today's short-term, mid-term, long-term foot color, and (4) the previous day and today's dates. Here, the “foot color” is a predetermined rising color (for example, pink) if today's closing price moving average is higher than the previous day's closing price moving average, and today ’s closing price moving average is higher than the previous day's closing price moving average. If the closing price moving average is lower, the color will fall to the specified color (for example, blue). If the previous day's closing price moving average and today's closing price moving average are the same, the same color as the foot color of the previous day's foot data It becomes.

To give a specific example, the “fourth day foot data” is (1) short-term (3 days), medium-term (25 days), long-term (75 days) for the third and fourth days. ) The closing price moving average of (2), the closing price for each of the third and fourth days, (3) the short-term foot, the middle foot, the long-foot foot color of the fourth day, and (4) the third day Each day and the fourth day are included. Here, if the closing price moving average value on the fourth day is higher than the closing price moving average value on the third day, the “foot color” becomes a predetermined rising color (for example, pink), and the closing price movement on the third day If the closing price moving average value on the fourth day is lower than the average value, a predetermined falling color (for example, blue) is obtained, and the closing price moving average value on the third day and the closing price moving average value on the fourth day are the same. Sometimes it is the same color as the foot color of the third day foot data.

Note that the “date” is a date used as a basis for calculating daily data. For example, when calculating the short-term average closing price on a daily basis, the day corresponding to the third day (the current day is July 10th) Then, the calculation requires the stock prices (closing prices) on July 9 and July 8, and in this case, July 10 which is the date on which the short-term average closing price is calculated is stored.

Moreover, the reason why the top of the data is “third day” is that the average of the closing prices for the previous two days is required to calculate the short-term average closing price as daily data. . For the same reason, the medium-term average closing price is stored after the 25th day, and the long-term average closing price is stored after the 75th day.

As shown in FIG. 5B, the weekly stock storage unit 101c-2 stores, for each stock name (only one specific name is shown in the figure), from the 4th week to the Wth week (Wth week is the latest week). Foot data) is stored.

The foot data for each week is (1) the closing price moving average of short-term (3 weeks), medium-term (13 weeks), and long-term (26 weeks) for each of the previous week and this week, and (2) the previous week and this week. It includes the closing price for each, (3) the foot color of this week's short-term foot, mid-term foot, long-term foot, and (4) the respective dates of the previous week and this week. Here, the “foot color” is a predetermined ascending color (for example, pink) if the closing price moving average value of this week is higher than the closing price moving average value of the previous week, and this color is higher than the closing price moving average value of the previous week. If the closing price moving average value of the week is lower, the color will fall in a predetermined color (for example, blue). If the closing price moving average value of the previous week and the closing price moving average value of this week are the same, the foot color of the previous week's foot data And the same color.

To give specific examples, “Fourth week foot data” is (1) short-term (3 weeks), medium-term (13 weeks), long-term (26 weeks) for each of the third and fourth weeks. ) Closing price moving average of (2) closing price for each of weeks 3 and 4 (eg, Friday closing price), (3) short-term foot, middle-term foot, long-foot foot color at week 4, and (4) It includes each date of the third week and the fourth week. Here, the “foot color” is a predetermined ascending color (for example, pink) if the closing price moving average value at the 4th week is higher than the closing price moving average value at the 3rd week, and the closing price shift at the 3rd week. If the closing price moving average value at the 4th week is lower than the average value, a predetermined falling color (for example, blue) is obtained, and the closing price moving average value at the 3rd week and the closing price moving average value at the 4th week are the same. Sometimes it is the same color as the foot color of the 3rd week foot data.

Note that “date” is a reference date for calculating weekly data. For example, when calculating the short-term average closing price in a weekly date, the day corresponding to the third week (the current day is July 10th) Then, for the calculation, for example, the stock price (closing price) of July 2 corresponding to the previous week and June 25 corresponding to the previous week is required, and in this case, the closing price average value is calculated on July 10). Remembered.

The top of the data is “3rd week” because the average of the closing prices for the previous two weeks is required to calculate the short-term average closing price as weekly data. . For the same reason, the medium-term average closing price is stored after the 13th week, and the long-term average closing price is stored after the 26th week.

As shown in FIG. 5C, the monthly storage unit 101a-3 stores, for each stock issue (only one specific issue is shown in the figure), from the fourth month to the M month (M month is the latest month). Foot data) is stored.

The foot data for each month includes (1) short-term, medium-term, and long-term closing averages for the previous month and this month, and (2) the closing price for each of the previous month and this month (for example, the closing price on the last day of the month). ), (3) Short-foot, middle-foot, and long-foot feet of this month, and (4) Dates of the previous month and this month. Here, the “foot color” is a predetermined rising color (for example, pink) if the closing price moving average value of this month is higher than the closing price moving average value of the previous month, and this color is higher than the closing price moving average value of the previous month. If the closing price moving average value of the month is lower, it will be a predetermined falling color (for example, blue), and if the closing price moving average value of the previous month is the same as the closing price moving average value of the current month, The same color as the foot color of the data.

For example, “April foot data” is (1) short-term, medium-term, and long-term moving average values for each of March and April, and (2) March. The closing price for each of the eyes and the fourth month (for example, the closing price on the last day of the month), (3) the short-term, middle- and long-term foot color of April, and (4) the third and fourth months And each date included. Here, the “foot color” is a predetermined rising color (for example, pink) if the closing price moving average value in April is higher than the closing price moving average value in March. If the closing price moving average value in April is lower than the average value, a predetermined falling color (for example, blue) is obtained, and the closing price moving average value in March and the closing price moving average value in April are the same. Sometimes it is the same color as the foot color of the March data.

Note that the “date” is a date that serves as a basis for calculating monthly data. For example, when calculating the short-term average closing price on a monthly basis, the date corresponding to the third month (the current date is July 31) Then, for the calculation, for example, the stock price (closing price) of June 30 corresponding to the previous month and May 31 corresponding to the previous month is required, and in this case, the closing price average value is calculated on July 31). Is memorized.

In addition, the top of the data in the monthly storage unit is “March”, because the average closing price for February before that is necessary to calculate the short-term average closing price as monthly data. It is to be done. For the same reason, the medium-term average closing price is stored after the 12th month, and the long-term average closing price is stored after the 36th month.

Returning to FIG. 2, the six-color pattern storage unit 101 d has a pattern indicating which of six types of predetermined patterns the magnitude relationship of the moving average value data of short-term, medium-term, and long-term stock prices is classified. A classification code is stored in series for each brand and for each daily, weekly, and monthly. As will be described later, this pattern classification code is obtained by calculation based on the average value data string of daily, weekly, and monthly legs of each brand stored in the foot data storage unit 101c.

FIG. 6 is an explanatory diagram showing the contents of data stored in the six-color pattern storage unit 101d. In the figure, for convenience of explanation, only the pattern classification code string relating to the weekly bar is illustrated, but the daily bar and the monthly bar are also described in the same manner.

As shown in the figure, the memory area (brand No. 1 to brand No. n) for each brand is provided with W memory columns corresponding to week 1 to week W. In the column, there are six predetermined classification patterns (Pattern A, Pattern B, Pattern C, Pattern D, Pattern E, Pattern F) showing the magnitude relationship between the short-term, medium-term, and long-term moving average values of the week. ) Is stored.

In addition, when MA1 is a short-term moving average value, MA2 is a medium-term moving average value, and MA3 is a long-term moving average value, the meaning contents of each pattern constituting the six types of classification patterns are as follows.
Pattern A: (MA1>MA3> MA2)
: Entrance of upward trend ("yellow")
Pattern B: (MA1>MA2> MA3)
: Uptrend ("green")
Pattern C: (MA2>MA1> MA3)
: Collapse of upward trend ("red")
Pattern D: (MA2>MA3> MA1)
: Entrance of downward trend ("blue")
Pattern E: (MA3>MA2> MA1)
: Downtrend ("Black")
Pattern F: (MA3>MA1> MA2)
: End of downtrend ("white")

Thus, there is a close correlation between the magnitude relationship between the moving averages of the short-term (MA1), medium-term (MA2), and long-term (MA3) and the stock price trend. This was first discovered by Tokutaro Masuda, the inventor of the present application, as a result of earnest research.

FIG. 8 is an explanatory diagram showing the relationship between the magnitude relationship of the weekly moving average lines (long-term, medium-term, and short-term) and the six-color pattern. In the figure, 61 is the short-term Masuda foot curve, 62 is the medium-term Masuda foot curve, 63 is the long-term Masuda foot curve, MA1 is the average value for the last three weeks of the reference week, MA1 ′ is the average value for the last three weeks of the previous week, and MA2 is the reference week. The most recent 13-week average, MA2 'is the last 13-week average, MA3 is the last 26-week average of the reference week, MA3' is the last 26-week average, A is positive, B is negative is there. In the illustrated example, since the relationship of (MA1> MA2> MA3) is recognized, the value of the six-color classification pattern code is “B” for any “week”.

Returning to FIG. 2 again, the number-of-appearance-number-storing unit 101e stores various standards for all stocks included in the base stock group when generating a typical stock price trend index such as Nikkei 225 or TOPIX. The number-of-appearance data for each pattern classification code at each time is stored for at least one of daily, weekly, and monthly (in this example, weekly). As will be described later, the number-of-appearance data for each pattern classification code is obtained by executing a predetermined calculation based on the pattern classification code string of each brand stored in the six-color pattern storage unit 101d.

FIG. 7 shows an explanatory diagram showing the contents of data stored in the pattern-wise appearance number storage unit 101e. In the figure, only the appearance number data string for each pattern classification code relating to weekly bars is illustrated for convenience of explanation, but daily and monthly bars are also described in the same manner.

As shown in the figure, the storage area for each classification pattern (pattern A to pattern F) is provided with W storage columns corresponding to week 1 to week W. Each stores the number of appearances of each classification pattern in the week. Specifically, the number of occurrences of pattern A in the first week is A1, the number of occurrences of pattern B is B1, the number of occurrences of pattern C is C1, the number of occurrences of pattern D is D1, the number of occurrences of pattern E is E1, The number of appearances of F is stored as F1, the number of appearances of pattern A in the second week is A2, the number of appearances of pattern B is B2, the number of appearances of pattern C is C2, the number of appearances of pattern D is D2, the number of appearances of pattern E Is stored as E2 and the number of occurrences of pattern F is F2, and similarly, the number of occurrences of pattern A in the nth week is An, the number of occurrences of pattern B is Bn, the number of occurrences of pattern C is Cn, and the appearance of pattern D The number is stored as Dn, the number of appearances of the pattern E is En, and the number of appearances of the pattern F is stored as Fn.

Referring back to FIG. 2, the input unit 102 includes a keyboard 102a, a transmission / reception unit 102b, and a pointing device such as a mouse (not shown). The keyboard 102a is used for registering company information and inputting company stock price information at any time, and when displaying a chart of a desired brand on the display device 103a as the output unit 103 described later, the name of the brand ( Or, for convenience, it is also used to input a stock code).

The number of stocks handled by the stock price information issuer 30 includes about 4800 stocks, including over-the-counter stocks. Manual input of all of these stock price information from the keyboard 102a after 3 pm when the closing price is announced requires a lot of time and labor, and it is difficult to avoid an input error. Therefore, a transmission / reception unit 102b is provided for capturing stock price information provided from, for example, a stock exchange, which is a stock price information issuer 30, via the Internet 40 online. The cache memory 102b-1 is used as a temporary storage unit for stock price information acquired via the transmission / reception unit 102b.

The output unit 103 includes a display device 103 a and a printer device 103 b connected to the main body unit 101. The display device 103a and the printer device 103b display and print out an input screen for inputting stock prices and information regarding stock prices from the input unit 102 in accordance with a program stored in the program storage device 101a-2 of the central processing unit 101a. Daily foot / weekly / monthly foot data stored in the foot data storage unit 101c, and daily / weekly / monthly foot pattern classification code sequence for each brand stored in the 6-color pattern storage unit 101d Based on the number-of-pattern appearance number data stored in the pattern-based number-of-appearance storage unit 101e, short-, medium-, and long-term Masuda-foot curves related to daily, weekly, and monthly legs, pattern distribution band images, and the like are displayed. Print out.

The operations for displaying and printing out the Masuda-foot curve and the pattern distribution band image are basically the same as the operations in the client machine, so the contents of those operations will be described in the description of the corresponding operation in the client machine. I will leave it to you.

Next, the client machine (for example, composed of a personal computer, a PDA, a mobile phone, etc.) 20 will be described. A block diagram showing the configuration of the client machine is shown in FIG.

As shown in the figure, the client machine 20 also includes a main body unit 201, an input unit 202, and an output unit 203.

The main body unit 201 includes a central processing unit 201a, a foot data storage unit 201b, and a pattern-specific appearance number storage unit 201c.

The central processing unit 201a appropriately reads out and executes a program storage device 201a-2 that stores a computer program necessary for realizing a function as a server device and a computer program stored in the program storage device 201a-2. Thus, it includes a CPU 201a-1 that implements various functions as a client machine. Examples of the computer program stored in the program storage device 201a-2 include various computer programs described later with reference to the flowcharts of FIGS.

Necessary for drawing short-term, medium-term, and long-term Masuda foot curves for one or more brands returned from the server device 10 in response to a transmission request from the client machine 20 in the foot data storage unit 201b A daily foot storage unit 201b-1 for storing leg data, a week foot storage unit 201b-2 for storing foot data necessary for drawing a short-term, medium-term, and long-term Masuda foot curve of a weekly foot, A monthly foot storage unit 201b-3 that stores foot data necessary to draw the Masuda foot curve of the short-term, medium-term, and long-term is included.

The contents of the foot data stored in the daily foot storage unit 201b-1, the weekly foot storage unit 201b-2, and the monthly foot storage unit 201b-3 of the foot data storage unit 201b are shown in FIGS. 5A to 5C, respectively. This is basically the same as the contents of the foot data stored in the daily foot storage unit 101c-1, the weekly foot storage unit 101c-2, and the monthly foot storage unit 101c-3 of the server device 10 described with reference to the description. Is omitted.

The number-of-appearance-number-of-appearance storage unit 201c includes an appearance number data string for each pattern classification code related to the basic stock group when generating one stock price trend index (for example, Nikkei 225, TOPIX, etc.) sent from the server device. Remembered.

Note that the content of the pattern-wise appearance number data string stored in the pattern-wise appearance number storage unit 201c is basically the same as the content of the pattern-wise appearance number storage unit 101e of the server device 10 described above with reference to FIG. Are the same and will not be described.

Referring back to FIG. 3, the input unit 202 includes a keyboard 202a, a transmission / reception unit 202b, and a pointing device such as a mouse (not shown). The keyboard 202 a is used to perform various instruction operations from the client machine 20 to the server device 10. This instruction operation includes a brand designation operation at the time of a transmission request, a designation operation of a foot type such as daily, weekly, or monthly, an operation of designation of an averaging period such as short-term, medium-term, or long-term, appearance by pattern This includes a number data transmission request operation, and so on. The transmission / reception unit 202b is used for communication between the client machine 20 and the server device 10 via the Internet.

The output unit 203 includes a display device 203a and a printer device 203b connected to the main body unit 201. The display device 203a and the printer device 203b are based on the daily, weekly, and monthly foot data stored in the foot data storage unit 201b, and the pattern-specific appearance number data string stored in the pattern-based appearance number storage unit 201c. It is used to display and print out the short-, medium- and long-term Masuda foot curves, pattern distribution bands, etc. for daily, weekly and monthly feet.

Next, the software configuration of the server device 10 will be described. FIG. 9 shows a schematic flowchart showing the operation contents of the server apparatus.

In the figure, when processing is started, first, stock price information input processing (step 901) is executed for database construction. Details of the stock price information input process (step 901) are shown in the flowchart of FIG.

As shown in the figure, in the stock price input process, first, the current day's stock price for a group of stocks is received via the Internet (step 1001) and written into the cache memory 102b-1 (step 1002). It is checked whether there is data in the cache memory 102b-1 (step 1003).

If there is data in the cache memory 102b-1 (step 1003 YES), the first data is read from the cache memory 102b-1 (step 1004), and the stock price storage unit 101b is searched using the brand of the read data as a key (step 1004). 1005).

If the data exists in the stock price storage unit 101b (YES in step 1006), the stock price for the day is added to the stock price storage unit 101b (step 1009), whereas if the data does not exist in the stock price storage unit 101b (step 1009). Step 1006 NO), the current stock price and brand information are newly written in the stock price storage unit 101b (Step 1007), and the brand name, stock price, date, etc. are printed out as errors (Step 1008).

The above operations (steps 1005 to 1009) are repeatedly executed every time data is read from the cache memory 102b-1 (step 1011) until there is no more data in the cache memory 102b-1 (step 1010 NO).

Thus, a database including stock price information for the latest predetermined maximum period for each group of stocks is constructed in the stock price storage unit 101b based on stock price information acquired from the stock price information issuer via the Internet. (See FIG. 4).

Returning to FIG. 9, when the stock price information input process (step 901) ends, the foot data creation process (step 903) is subsequently executed on the condition that there is an input on that day (step 902 YES). A flowchart showing details of the foot data creation process (step 903) is shown in FIG.

As shown in the figure, in the foot data creation process, first, after reading the data of the first issue from the stock price storage unit 101b (step 1101), based on the data of the issue, every day, every week For each closing price for each month, short-term, medium-term, and long-term closing price moving averages (MA1, MA2, MA3) and “foot color” are obtained by calculation (step 1102). In addition, as described above, for “foot color”, if the closing price moving average value for today, this week, or this month is higher than the closing price moving average value for the previous day, the previous week, or the previous month, a predetermined increase will occur. A color (for example, pink), and a predetermined falling color (for example, blue) if the closing price moving value for today, this week, or this month is lower than the closing price moving value for the previous day, the previous week, or the previous month If the closing price moving average value of the previous day, the previous week, or the previous month is the same as the closing price moving average value of the current day, this week, or this month, the same color as the foot color in the previous foot data is obtained. This “foot color” can be used for advanced brand search applications such as searching for brands having a predetermined number of consecutive rising colors.

Thereafter, the corresponding brand data is read from the foot data storage unit 101c (step 1103), and the presence or absence of the corresponding data is determined (step 1104). Here, when it is determined that the corresponding data exists (step 1104 YES), the calculated values (MA1, MA2, MA3) and “foot color” are added to the corresponding area of the corresponding brand data in the foot data storage unit. (Step 1105) When it is determined that there is no corresponding data (NO in Step 1104), the calculated values (MA1, MA2, MA3), “foot color” and brand information are newly written in the foot data storage unit (Step 1105). 1106) The brand name, calculation result, date, etc. are printed out as errors (step 1107).

The above operation (steps 1102 to 1107) is executed each time data is read from the stock price storage unit 101b (step 1109) until there is no more data in the stock price storage unit 101b (NO in step 1108).

As a result, in the foot data storage unit 101c, the moving average values of the stock prices for the shortest, middle, and long-term prices at the reference time in at least one time unit selected from the day, week, and month are stored. The moving average value data string and the footstep data of the short-term, medium-term, and long-term stock prices obtained as a result of executing the calculation for obtaining based on the stock price information of each predetermined stock on the database, Each brand is stored (see FIGS. 5A to 5C).

Again referring back to FIG. 9, when the foot data creation process (step 903) is completed, the pattern-specific appearance number data creation process (step 904) is subsequently executed. 12A and 12B are flowcharts showing details of the pattern-specific appearance number data creation processing.

As shown in these figures, in the pattern-wise appearance number data creation process, after retrieving the first brand from the foot data storage unit 101c (step 1201), the reference date is initialized and the pattern-wise occurrence number counter is displayed. After clearing P (A) to P (F) to zero (step 1202), short-term, medium-term, and long-term closing price moving averages (MA1, MA2, MA3) are read (step 1203). The brands referred to here are a group of basic brands that are used as the basis for calculating one stock price trend index, such as Nikkei 225 and TOPIX. In this example, two types of basic stocks, Nikkei 225 and TOPIX, are prepared in advance, and as will be described later, one of them is selected and set according to the stock designation data coming from the client machine. .

Thereafter, the magnitude relationships of the read short-term, medium-term, and long-term closing averages (MA1, MA2, MA3) read out are collated with six kinds of reference magnitude relationships patterns prepared in advance ( steps 1204, 1206, 1208). , 1210, 1212, 1214).

At this time, when the magnitude relationships of the read short-term, middle-term, and long-term closing averages (MA1, MA2, MA3) read out coincide with a reference magnitude relationship pattern (MA1> MA3> MA2) prepared in advance (step 1). 1204), the pattern classification code is stored in the 6-color pattern storage unit 101d as “A” (screen display color is “yellow”) (step 1205), and at the same time, the value of the A pattern appearance number counter P (A) is only +1. Incremented.

Similarly, when it matches the reference magnitude relationship pattern (MA1> MA2> MA3) (step 1206 YES), the pattern classification code is stored in the 6-color pattern storage unit 101d as “B” (screen display color is “green”) ( At the same time, the value of the B pattern appearance number counter P (B) is incremented by +1.

Similarly, when the pattern matches the reference magnitude relation pattern (MA2> MA1> MA3) (YES in step 1208), the pattern classification code is stored as “C” (screen display color is “red”) in the six-color pattern storage unit 101d. (Step 1209) At the same time, the value of the C pattern appearance number counter P (C) is incremented by +1.

Similarly, when it matches with the reference magnitude relation pattern (MA2> MA3> MA1) (step 1210 YES), the pattern classification code is stored in the 6-color pattern storage unit 101d as “D” (screen display color is “blue”) ( In step 1211), the value of the D pattern appearance number counter P (D) is incremented by +1 at the same time.

Similarly, when it matches the reference magnitude relation pattern (MA3> MA2> MA1) (step 1212 YES), the pattern classification code is stored in the 6-color pattern storage unit 101d as “E” (screen display color is “black”) ( At the same time, the value of the E pattern appearance number counter P (E) is incremented by +1.

Similarly, when it matches the reference magnitude relation pattern (MA3> MA1> MA2) (step 1214 YES), the pattern classification code is stored in the six-color pattern storage unit 101d as “F” (screen display color is “white”) ( In step 1215), the value of the F pattern appearance number counter P (F) is simultaneously incremented by +1.

The above operation (steps 1203 to 1215) is updated for one week (due to weekly) for the base date (step 1216), repeatedly executed, and waiting for the latest base date to be reached (NO in step 1217). Is changed to the next brand (step 1218), the above operation (steps 1202 to 1216) is repeatedly executed until the last brand is reached (NO in step 1219).

As a result, the six-color pattern storage unit 101d has a pattern indicating which of the six types of predetermined patterns the magnitude relation of the moving average value data of the short-term, middle-term, and long-term stock prices is classified. A pattern classification code string obtained as a result of executing an operation for obtaining a classification code based on the moving average data string of each brand stored in the foot data storage unit 101c is stored for each brand ( (See FIG. 6).

At the same time, in the number-of-appearance-by-pattern storage unit 101e, each of the reference times for all stocks included in the base stock group when generating one stock price trend index such as Nikkei 225, TOPIX, etc. Appearance number data for each pattern classification code obtained as a result of executing an operation for obtaining appearance number data for each pattern classification code based on the pattern classification code string of each brand stored in the six-color pattern storage unit 101d A column is stored (see FIG. 7).

In the example of FIG. 7, each of the A pattern, the B pattern, the C pattern, the D pattern, the E pattern, and the F pattern in the first week, the second week,. The number of appearances P (A), P (B), P (C), P (D), P (E), P (F) is (A1, B1, C1, D1, E1, F1 (A2, B2, C2, D2, E2, F2), ... (AW, BW, CW, DW, EW, FW).

Returning to FIG. 9 again, when the pattern-specific appearance number data creation process (step 904) is completed, the reception request is checked (step 905), and the transmission request from the client machine 20 is waited (step 906). In this state, when a transmission request arrives from the client machine 20 (YES in step 906), the foot data stored in the foot data storage unit 101c and / or the pattern appearance as a response to the transmission request to the client machine 20 The number-by-pattern appearance number data stored in the number storage unit 101e is transmitted (step 907).

The transmission request from the client machine 20 includes brand designation data, foot type (daily, weekly, monthly) designation data, averaging period (short term, medium term, long term) designation data, “Nikkei 225” and “ Basic brand designation data such as “TOPIX” is included, and the response from the server device 10 to the client machine 20 is executed according to these designation data.

Next, the software configuration of the client machine 20 will be described. FIG. 13 shows a schematic flowchart showing the operation contents of the client machine.

As shown in the figure, after sending a transmission request to the server apparatus 10 (step 1301), the client machine 20 waits for a response from the server apparatus 10 (steps 1302 and 1303). This transmission request includes at least brand designation data. The transmission request is generated by the user operating the keyboard and mouse on the client machine 20 side, so that the brand, the foot type (daily, weekly, monthly) and / or the averaging period ( This is done by specifying short, medium and long term).

In this state, when foot data or number-of-pattern appearance number data arrives as a response to the transmission request from the client machine 20 (step 1303 YES), these data are received by the client machine 20, and the foot data storage unit 201b and the pattern are received. It is stored in the separate appearance number storage unit 201c (steps 1304 and 1305).

After the foot data reception process and the pattern-specific appearance number data reception process are completed (steps 1304 and 1305), the Masuda foot chart display process is performed thereafter until a predetermined termination operation is performed via the mouse or keyboard (NO in step 1309). (Step 1306), pattern distribution band display processing (Step 1307), and system service processing (Step 1308) are repeatedly executed.

FIG. 14 is a flowchart showing details of the Masuda bar chart display process (step 1306), FIG. 17 shows an example of calculating the average closing price by daily bar, and FIG. 18 shows an example of a short-term Masuda bar curve by daily bar. ing. A method for creating a Masuda foot chart will be described with reference to these drawings. As described above, the daily data for the latest 450 days related to the stock is used to create the daily Masuda chart. That is, in the daily Masuda foot chart display process, first, a numerical value “450” that is “1” less than the number of created feet is set as the comparison value D (step 1401). In this example, since it is “daily”, D = 450 is set. However, the value is “192” in the case of weekly and the value “176” in the case of monthly.

Next, the latest 450-day foot data is read from the daily foot storage unit 201b-1 of the client machine 20 (step 1402), and a numerical value “2” is set to the counter N (step 1403). The counter N is for identifying the read foot data in order from the oldest. The reason why the initial value of the counter N is set to “2” is that the average of the two closing prices for the current time and the previous time is required to create the Masuda stick.

That is, in Step 1404, the (N) -th average closing price (current average closing price) of the read daily data is compared with the (N−1) -th average closing price (previous closing average). Here, when the (N) -th average closing price is larger than the (N-1) -th average closing price, the closing average (N) is the upper horizontal line and the closing average (N-1) is the lower horizontal line. The pink Masuda leg (vertical bar symbol) is displayed at the corresponding position on the time axis based on the date data specified by the counter N (step 1405). The foot color may be determined with reference to foot color data included in the foot data of each day.

Similarly, when the (N) -th average closing price is smaller than the (N-1) -th average closing price, the closing average (N) is the lower end horizontal underline, and the closing average (N-1) is the upper end horizontal line. The blue Masuda foot (vertical bar symbol) to be displayed is displayed at a corresponding position on the time axis based on the date data specified by the counter N (step 1406). Also at this time, the foot color may be determined with reference to the foot color data included in the foot data.

If the (N) th average closing price and the (N-1) th average closing price are the same, a horizontal thick line with the same color as the previous one is based on the date data specified by the counter N. It is displayed at the corresponding position on the time axis (step 1407). Also at this time, the foot color may be determined with reference to the foot color data included in the foot data.

Next, it is determined whether N is smaller than D (step 1408). If N is smaller than D, N is incremented by 1 (step 1409), and the process returns to step 1404. These processes are repeated until the value of the counter N becomes D (NO in step 1408).

When the Masuda foot chart display process (step 1406) ends, the process returns to FIG. 13 again, and the pattern distribution band image display process (step 1307), which is the main part of the present invention, is executed. Details of the pattern distribution band image display processing (step 1307) are shown in the flowchart of FIG.

As shown in the figure, in the pattern distribution band image display processing, first, the total number of basic brands such as TOPIX and Nikkei 225 is set in the register SUM (step 1501), and the standard time is initialized (step 1501). Step 1502). Subsequently, the value of the pattern type P is set to the default value of the base pattern (in this example, the pattern F) or a pattern type (one of patterns A to F) set as a base pattern by the user (step 1503). ). Thereafter, the value of the pattern type P is set in a certain order (in this example, “pattern A” → “pattern B” → “pattern C” → “pattern D” → “pattern E” → “pattern F” → “pattern A”. ”) (Steps 1503 and 1507), each time the change is made, the number of occurrences P (X of the pattern X specified by the pattern type P from the field specified at the reference time of the pattern-wise appearance number storage unit 201c) ) Is read (step 1504), and the ratio of the read appearance number P (X) is normalized ({P (X) / SUM} × constant K), so that the pattern band symbol corresponding to the pattern type P is obtained. A process of determining the vertical width of 306 (step 1505) and a process of drawing the symbols 306 for one unit period of the pattern band corresponding to the pattern type P (step 1506) Until 6 pattern is completed (step 1508YES), it is repeated. Then, as will be described in detail later, the rectangular display area sandwiched between the base line 57 and the ceiling line 58 on the screen of the image display is shown in FIGS. As described above, the six pattern band symbols 306a to 306f for one reference time are arranged in a fixed order in the vertical direction. Here, the pattern band symbols 306a to 306f correspond to the A pattern to the F pattern, and the length in the vertical direction of each corresponds to the appearance ratio of each pattern at the reference time.

Here, as will be described later with reference to FIG. 16, when there are a plurality of types of specific stock groups that are the basis for generating the stock price trend index (for example, Nikkei 225, TOPIX, etc.), One of these can be arbitrarily selected and set via an appropriate GUI (Graphical User Interface) in response to a predetermined key operation or mouse operation of the operator in the client machine 20. For example, as shown in FIG. 19A, characters 301 and 302 such as “Nikkei 225” and “TOPIX” and radio buttons 303 and 304 are associated with each other one-to-one, and a part of the display screen. This is realized by selecting and setting one of the two basic stock groups by pressing one of the radio buttons 303 and 304 with a mouse.

Also, as will be described later with reference to FIG. 16, the initial value of the pattern type P, that is, the lowest pattern (the A pattern band to the F pattern band) among the six pattern bands (A pattern band to F pattern band) constituting the pattern distribution band image. One pattern band located in the base) can be arbitrarily selected and set via an appropriate GUI (Graphical User Interface) in response to a predetermined key operation or mouse operation of the operator in the client machine 20. ing. For example, as shown in FIG. 19B, each of the six alphabetic characters (“F”, “A”, “B”, “C”, “D”, “E”) means a pattern type. )) Is displayed on a part of the display screen, and a pull-down operation is performed with a mouse, and one of these six alphabet characters is clicked with a mouse. This can be realized by selecting and setting one of the six pattern types as the base pattern.

In this example, as will be described later, the display color of the F pattern band is “white”, the display color of the A pattern band is “yellow”, the display color of the B pattern band is “green”, The display color of the C pattern band is “red (pink)”, the display color of the D pattern band is “blue (blue)”, and the display color of the E pattern band is “black (black)”.

If the next pattern type P disappears while repeating the above operation (steps 1504 to 1507), update the reference time by one unit (day, week, or month) (step 1509). The operations (steps 1503 to 1509) are repeated, and after waiting for the reference time to reach the latest value (NO in step 1510), the process ends. Then, as will be described later with reference to FIGS. 21 to 26, the rectangular display area sandwiched between the base line 57 and the ceiling line 58 on the screen of the image display device continues in the time axis direction. The pattern distribution band image 52 including the six color pattern display bands 52A to 52F is drawn.

13 again, when the pattern distribution band image display process (step 1307) is completed, the system service process (step 1308) is subsequently executed. Details of the system service processing (step 1308) are shown in the flowchart of FIG.

In the figure, when processing is started, first, it is confirmed whether any user operation has been performed via a GUI (Graphical User Interface) (steps 1601 and 1602). Here, if some user operation is performed and it is determined that the operation is related to the pattern distribution band image (YES in steps 1602 and 1603), the process further proceeds, and if the operation is a basic symbol group specifying operation (YES in step 1604). ) For example, if either “Nikkei 225” or “TOPIX” is set as the basic stock group to be used and the base pattern is designated (YES in step 1606), for example, “F pattern” / “A Any one of “pattern”, “B pattern”, “C pattern”, “D pattern”, and “E pattern” is set as the base pattern to be used. In this example, as the initial value of the base pattern, “F pattern” is preset as a default value. Therefore, if the operator does not perform the base pattern selection setting operation, the end of the downward trend (“ “F pattern” meaning “white”) is automatically selected and becomes the base pattern band of the pattern distribution band image 52.

FIG. 20 shows an explanatory diagram of the cyclic shift processing of the display band symbols 306a to 306f. As shown in FIG. 6A, when “F pattern” is set as the base pattern, “F” → “A” → “B” → “C” → “D” → Display band symbols 306a to 306f are arranged in the order of “E”. As shown in FIG. 4B, when “A pattern” is set as the base pattern, “A” → “B” → “C” → “D” → “E” → Display band symbols 306a to 306f are arranged in the order of “F”. As shown in FIG. 6C, when “B pattern” is set as the base pattern, from the bottom to the top, “B” → “C” → “D” → “E” → “F” → Display band symbols 306a to 306f are arranged in the order of “A”. As shown in FIG. 6D, when “C pattern” is set as the base pattern, “C” → “D” → “E” → “F” → “A” → Display band symbols 306a to 306f are arranged in the order of “B”. As shown in FIG. 5E, when “D pattern” is set as the base pattern, “D” → “E” → “F” → “A” → “B” → Display band symbols 306a to 306f are arranged in the order of “C”. As shown in FIG. 5F, when “E pattern” is set as the base pattern, “E” → “F” → “A” → “B” → “C” → Display band symbols 306a to 306f are arranged in the order of “D”. In this manner, the pattern distribution in the rectangular display area is such that one pattern display band (one of 52A to 52F) set by the user is drawn adjacent to the base line 57 in the rectangular display area. The pattern distribution band image 52 is edited by cyclically shifting the six color pattern display bands 52A to 52F constituting the band image 52 in the vertical direction.

Next, display examples including a Masuda foot chart and a pattern distribution band are shown in FIGS. As shown in these figures, in this example, the display window 50 provided on the display screen of the display device 203a is vertically divided into two, and the Masuda foot chart is in the upper half area. 51, a pattern distribution band image 52 can be displayed in a substantially lower half region.

As is well known from various published patent publications and the like by the present applicant, the daily Masuda foot chart 51 is a short-term Masuda foot curve on an orthogonal coordinate having a horizontal axis as a time axis and a vertical axis as a stock price. 53, a medium-term Masuda foot curve 54, and a long-term Masuda foot curve 55. In this example, the Masuda foot curves 53 to 55 and the moving average line 56 correspond to TOPIX which is a stock price trend index.

The pattern distribution band image 52 includes six pattern display bands (the yellow display band 52A for pattern A, the green display band 52B for pattern B, the red display band for pattern C) determined in steps 1505 and 1506 in the flowchart of FIG. 52C, a blue display band 52D of pattern D, a black display band 52E of pattern E, and a white display band 52F of pattern F).

In particular, in the pattern distribution band image 52 according to the present invention, although the arrangement order of the six display bands 52A to 52F itself does not change, any of the six display bands 52A to 52F is displayed. Whether to arrange in the lowest layer (base layer) can be arbitrarily selected and edited.

FIG. 20 shows an image editing example in which the yellow A pattern display band 52A is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a yellow A pattern display band 52A, a green B pattern display band 52B, a red C pattern display band 52C, and a blue D pattern. The display band 2D, the black E pattern display band 2E, and the white F pattern display band 52F are arranged in this order from the bottom.

FIG. 21 shows an image editing example in which the green B pattern display band 52B is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a green B pattern display band 52B, a red C pattern display band 52C, a blue D pattern display band 2D, and a black E pattern. The display band 2E, the white F pattern display band 52F, and the yellow A pattern display band 52A are arranged in order from the bottom.

FIG. 22 shows an image editing example in which the red C pattern display band 52C is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a red C pattern display band 52C, a blue D pattern display band 2D, a black E pattern display band 2E, and a white F pattern. The display band 52F, the yellow A pattern display band 52A, and the green B pattern display band 52B are arranged in order from the bottom.

FIG. 23 shows an image editing example in which the blue D pattern display band 52D is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a blue D pattern display band 2D, a black E pattern display band 2E, a white F pattern display band 52F, and a yellow A pattern. The display band 52A, the green B pattern display band 52B, and the red C pattern display band 52C are arranged in order from the bottom.

FIG. 24 shows an image editing example in which the black E pattern display band 52E is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a black E pattern display band 2E, a white F pattern display band 52F, a yellow A pattern display band 52A, and a green B pattern. The display band 52B, the red C pattern display band 52C, and the blue D pattern display band 2D are arranged in order from the bottom.

FIG. 25 shows an image editing example in which the white F pattern display band 52F is arranged in the base layer in contact with the base line 57. As shown in the figure, in this example, the pattern distribution band image 52 includes a white F pattern display band 52F, a yellow A pattern display band 52A, a green B pattern display band 52B, and a red C pattern. The display band 52C, the blue D pattern display band 2D, and the black E pattern display band 2E are arranged in this order from the bottom.

As described above, in this embodiment, the Masuda foot chart 51 is displayed in the substantially upper half area in the display window 50, and the A pattern to the F pattern at each time point are displayed in the substantially lower half area. The pattern distribution band image 52 showing the distribution of the two is displayed, and the both 51 and 52 are displayed with the time axes aligned with each other. Can grasp.

In addition, in this embodiment, by designating which display band of the six pattern display bands 52A to 52F is arranged in the lowermost layer (base layer), these six pattern display bands An arbitrary pattern display band is made adjacent to the base line 57 or the ceiling line 58 while cyclically shifting 52A to 52F up and down, thereby revealing the display width of the display band and the visibility of the distribution change of the pattern. As a result, the reliability in grasping the trend of stock prices can be further improved.

Next, a display example (part 1) of the Masuda foot chart 51 and the pattern distribution band image 52 for explaining the operation of the present invention is shown in FIG. In this example, for convenience of comparison, the substantially lower half area of the display window 50 is further divided into two in the upper and lower directions, and a default display mode (white F pattern) is displayed in the upper half area. The display band 52F displays a pattern distribution band image 52a-1 based on the base layer), and the lower half area displays the pattern distribution based on the user-designated image edited display mode (the green B pattern display band 52B is the base layer). A band image 52a-2 is displayed.

In the rising process from the time point t1 to the time point t2, in the pattern distribution band image 52a-1 in the default display mode (the white F pattern display band 52F is the base layer), the number of brands having the rising energy (white + yellow) + Green) tends to decrease extremely as shown by the arrow a, and the illusion that the overall price of the market is getting cold at once. However, according to the pattern distribution band image 52a-2 based on the user-specified display mode (the green B pattern display band 52B is the base layer), the number of brands having the increased energy (green) increases as shown by the arrow b. Continuing, it can be easily understood that the overall market is warming up.

Further, when the height of the green B pattern display band 52B is compared between the time point t1 and the time point t2, the pattern distribution band image 52a-1 according to the default display mode (the white F pattern display band 52F is the base layer) Tends to cause an illusion that there is no great difference between them, but according to the pattern distribution band image 52a-2 in the display mode specified by the user (the green B pattern display band 52B is the base layer), the arrow b Thus, it can be seen that the height of the green B pattern display band 52B continues to increase and the market price is growing. Then, based on the percentage scale on the right vertical axis, it can be determined that the time point t2 when the green B pattern display band 52B is in the vicinity of 80% is once a profit taking place.

Next, a display example (part 2) of the Masuda foot chart 51 and the pattern distribution band image 52 for explaining the operation of the present invention is shown in FIG. Even in this example, for the convenience of explanation, the lower half area of the display window is further divided into two parts, and the upper half area has a default display mode (white F pattern display). A pattern distribution band image 52b-1 based on a band 52F is displayed, and a pattern distribution band based on a user-edited display mode (a red C pattern display band 52C is a base layer) is displayed in the lower half area. The image 52b-2 is displayed.

Looking at the short-term Masuda foot curve 53, it is lowered to the same stock price position at time t3 and time t4, and according to the pattern distribution band image 52b-1 in the default display mode with the white F pattern display band 52F as the base layer Since the peak of the green B pattern display band 52B is beginning to rise, an increase similar to that at time t3 is expected at time t4. However, according to the pattern distribution band image 52b-2 according to the user-specified display mode using the red C pattern display band 52C as the base layer, the number of brands in the red C pattern display band 52C is t4 more than at the time t3. Is much less. In order to improve the overall feel of the market, it is necessary to keep increasing the number of green B pattern display bands 52B. The time point t3 and the time point t4 are the same in that the white pattern that is a candidate for the green B pattern and the yellow pattern are less, but the red pattern rises from here because the time point t4 is less than the time point t3. Can be determined that the time point t4 is more difficult than the time point t3, or that it is likely to take a date.

Next, a display example (part 3) of the Masuda foot chart 51 and the pattern distribution band image 52 for explaining the operation of the present invention is shown in FIG. Even in this example, for the convenience of explanation, the lower half area of the display window is further divided into two parts, and the upper half area has a default display mode (white F pattern display). A pattern distribution band image 52c-1 based on a band 52F is displayed), and a pattern distribution band based on a user-specified image edited display mode (blue D pattern display band 52D is a base layer) is displayed in the lower half area. The image 52c-2 is displayed.

Looking at the short-term Masuda foot curve 53, it is lowered to the same stock price position at time t5 and time t6, and according to the pattern distribution band image 52c-1 in the default display mode with the white F pattern display band 52F as the base band Since the peak of the green B pattern display band 52B is beginning to rise, an increase similar to that at time t3 is expected at time t4. However, according to the pattern distribution band image 52c-2 in the display mode specified by the user using the blue D pattern display band 52D as the base layer, the sum of the blue pattern and the black pattern is greater at the time t6 than at the time t5. Since it has increased so much, it can be expected that at time t6 it will not be as easy to rise as at time t5.

Next, a display example (part 4) of the Masuda foot chart 51 and the pattern distribution band image 52 for explaining the operation of the present invention is shown in FIG. Even in this example, for the convenience of explanation, the lower half area of the display window is further divided into two parts, and the upper half area has a default display mode (white F pattern display). A pattern distribution band image 52d-1 based on a band 52F is displayed), and a pattern distribution band based on a user-specified image-edited display mode (a black E pattern display band 52E is a base layer) is displayed in the lower half area. The image 52d-2 is displayed.

According to the pattern distribution band image 52d-1 in the default display mode using the white F pattern display band 52F as the base layer, the rising white pattern that is a candidate for the green pattern and the yellow color in the descending process from the time point t7 to the time point t8. Although the total with the pattern has increased, it will be a desire to make a purchase, but the pattern distribution band image 52d-2 in the display mode specified by the user using the black E pattern display band 52E with the worst wave as the base layer According to, it can be judged that it is better to look at the situation a little more because it shows that the brands of black pattern are increasing more than that.

Next, a display example (part 5) of the Masuda foot chart 51 and the pattern distribution band image 52 for explaining the operation of the present invention is shown in FIG. Even in this example, for the convenience of explanation, the lower half area of the display window is further divided into two parts, and the upper half area has a default display mode (white F pattern display). A pattern distribution band image 52e-1 based on a band 52F is displayed, and a pattern distribution band image 52e-2 according to a user-specified display mode (a green B pattern display band 52B is a base layer) is displayed in the lower half area. Is displayed.

Looking at the shape of the mountain of the green pattern (the best shape of the rising wave), not only at times t04, t05, t06, and t07 as shown by the arrow d, but as shown by the arrow c Even at t01, t02, and t03 during the downtrend, you can clearly see that there is a chance to make money by buying. Even when the TOPIX index chart shows a decline, you can buy and win. Such a green pattern is observed by the user-specified display mode (green B pattern display band 52B) rather than by the pattern distribution band image 52e-1 in the default display mode (white F pattern display band 52F is the base layer). Is easier to understand at a glance by the pattern distribution band image 52e-2.

In the above embodiment, Nikkei 225 and TOPIX are listed as the stock price trend index of 1, but other examples include Nikkei 500, TSE 2nd Stock Price Index, Nikkei JASDAQ average, and the like. When dealing with foreign stocks, in the United States, S & P500, NY Dow, NASDAQ, etc. can be mentioned. In North, Central and South America, Canada's S & P Toronto Composite Index, Mexico's Bolsa Index, Brazil's Bovesba Index, etc. In Europe, Africa, and the Middle East, the Euro Stocks 50 Index, the UK FTSE 100 Index, the French CAC 40 Index, the German DAX Index, the Spanish IBEX 35 Index, the Italian FTSE MIB Index, the Netherlands Amsterdam AEX Index, and the Swedish OMX Stockholm 30 index, Swiss SMI index, etc. In the Asia-Pacific region, Hong Kong's Hang Seng Index, China's Shanghai A Stock Index, Shanghai B Stock Index, Shenzhen A Stock Index, Shenzhen B Stock Index, Taiwan 50 Index, TAISDAQ Composite Index, South Korea KRX100 Index, Total Stock Index , 200 stock price index.

In the above embodiment, the pattern distribution band image is drawn using all of the constituent stocks necessary for generating the stock price trend index, but the stocks that do not draw a clear wave are thinned out. Alternatively, the pattern distribution band image may be drawn with a smaller number of brands by narrowing down the number of brands by fair thinning out a certain proportion of brands that draw clear waves. According to the experiments by the inventors, depending on the stock price trend index, even if the number of brands is narrowed down to about 50%, a clear wave can be observed on the pattern distribution band image.

According to the present invention, it is possible to display a pattern distribution band suitable for accurately judging a market sentiment (sentiment) such as a selling tendency or a buying tendency.

DESCRIPTION OF SYMBOLS 10 Server apparatus 20 Client machine 30 Stock price information issuer 40 Internet 50 Display window 51 Masuda foot chart 52 Pattern distribution band image 52A A pattern display band 52B B pattern display band 52C C pattern display band 52D D pattern display band 52E E pattern display Band 52F F pattern display band 52a-1 to 52e-1 Default pattern distribution band image 52a-2 to 52e-2 User-specified pattern distribution band image 53 Short-term Masuda foot curve of daily foot 54 Medium-term Masuda foot curve of daily foot 55 Long-term Masuda foot curve of daily foot 56 Moving average line 57 Base line 58 Ceiling line 61 Short-term Masuda foot curve of 62-week foot Medium-term Masuda foot curve of 63-week foot Long-term Masuda foot curve of week-long foot MA1 Average of the last three weeks of the reference week The average value of the last 13 weeks of the MA2 reference week The latest of the MA3 reference week Average 100 Stock chart display system 101 main body 101a central processing unit 101b share a storage unit of 6 weeks (database)
101c Foot data storage unit 101c-1 Daily foot storage unit 101c-2 Weekly foot storage unit 101c-3 Monthly foot storage unit 101d 6-color pattern storage unit 101e Appearance number storage unit by pattern 102 Input unit 102a Keyboard 102b Transmission / reception unit 102b-1 Cache memory 103 Output unit 103a Display device 103b Printer device 201 Main unit 201a Central processing unit 201b Foot data storage unit 201b-1 Daily foot storage unit 201b-2 Weekly foot storage unit 201b-3 Monthly foot storage unit 201c Number of appearances by pattern storage Section 202 Input section 202a Keyboard 202b Transmission / reception section 202b-1 Cache memory 203 Output section 203a Display device 203b Printer apparatus 301 Characters indicating basic brand group 302 Characters indicating basic brand group 303 Radio button 04 radio button 305 display symbol 306a ~ 306f display band symbol indicating the pull-down menu

Claims (10)

1. A stock price chart display method executed using a system comprising a server device and a client machine connected via the Internet,
   A first step of constructing a database including stock price information for the latest predetermined maximum period for each of a group of stocks based on stock price information obtained from a stock price information issuer via the Internet;
   Each of the moving average values of the latest short-term, medium-term, and long-term stock prices at the base time in at least one time unit selected from day, week, and month is the stock price information of each specified stock on the database. A second step of storing a moving average value data sequence of short-term, medium-term, and long-term stock prices thus determined in a predetermined memory for each brand,
   For a group of basic issues such as Nikkei 225 and TOPIX, which are used as the basis for calculation of one stock price trend index, there are six types of patterns in which the magnitude relationship of the moving average value of short-term, medium-term, and long-term stock prices is predetermined. Which is classified is checked based on the moving average value data string of each brand stored in the memory by the second step, and the number of appearance data for each pattern at each reference time is counted. A third step of storing the number-of-appearance occurrence count data string thus counted in a predetermined memory;
   Based on the number-of-appearance number data string stored in the memory by the third step, each reference time position in the rectangular display area sandwiched between the base line and the ceiling line on the screen of the predetermined display In each of the rectangular display areas, the display band symbols of unique colors having a length corresponding to the number of appearances of each of the six types of patterns at the reference time are arranged in the stock price axis direction in a predetermined order. And a fourth step of drawing a pattern distribution band image including a pattern display band of six colors continuous in the time axis direction, and the fourth step includes:
   A setting step for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area in response to a predetermined user operation;
   The pattern distribution band image is configured in the rectangular display area so that one pattern display band set in the setting step is drawn adjacent to the base line in the rectangular display area. An image editing step of editing the pattern distribution band image by cyclically shifting the color pattern display band in the vertical direction, and further including at least a first step among the first step to the fourth step. A method of displaying a stock price chart, wherein the step and the second step are executed by the server device, and at least the fourth step is executed by a client machine.
2. The group of basic brands used in the third step is characterized in that one of two or more basic brand groups prepared in advance is selected and set in response to a predetermined selection operation in the client machine. The stock price chart display method according to claim 1.
3. In the fourth step, the short-term, medium-term, and / or long-term is based on the moving average value data sequence of short-term, medium-term, and long-term stock prices stored for each stock in the predetermined memory in the second step. 2. The method includes: generating Masuda-foot curves, and displaying the Masuda-foot curves side by side with the pattern distribution band image in the rectangular display area with the time axis aligned. How to display a stock chart.
4. A client server system in which a server device and a client machine are connected via the Internet,
   The server device
   A first means for constructing a database including stock price information for the latest predetermined maximum period for each of a group of stocks based on stock price information acquired from a stock price information issuer via the Internet;
   Each of the moving average values of the latest short-term, medium-term, and long-term stock prices at the base time in at least one time unit selected from day, week, and month is the stock price information of each specified stock on the database. And a second means for storing a moving average value data sequence of the short-term, medium-term, and long-term stock prices obtained in this manner in a predetermined memory for each brand,
   For a group of basic issues such as Nikkei 225 and TOPIX, which are used as the basis for calculation of one stock price trend index, there are six types of patterns in which the magnitude relationship of the moving average value of short-term, medium-term, and long-term stock prices is predetermined. Which is classified is examined on the basis of the moving average value data string of each brand stored in the predetermined memory by the second means, and the appearance number data for each pattern at each reference time is obtained. A third means for storing the occurrence number data string for each pattern thus obtained in a predetermined memory;
   First data transmission means for reading out the number-of-appearance occurrence number data string obtained by the third means from the predetermined memory and transmitting it to the client machine;
   The client machine is
   First means for storing an occurrence number data string for each pattern sent from the server device in a predetermined memory;
   Each reference time position in the rectangular display area sandwiched between the base line and the ceiling line on the screen of the predetermined display based on the appearance number data string for each pattern stored in the predetermined memory by the first means By arranging the display band symbols of unique colors having a length corresponding to the number of appearances of each of the six types of patterns at the reference time in the stock price axis direction in a predetermined order, And a second means for drawing a pattern distribution band image including a pattern display band of six colors continuous in the time axis direction, and the second means includes:
   In response to a predetermined user operation, setting means for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area;
   The pattern distribution band image is formed in the rectangular display area so that one pattern display band set by the setting means is drawn adjacent to the base line in the rectangular display area. An image editing means for editing the pattern distribution band image by cyclically shifting a color pattern display band in the vertical direction, and a client server system.
5. The group of basic brands used in the third means included in the server device is selected by one of two or more basic brand groups prepared in response to a predetermined switching operation in the client machine. The client server system according to claim 1, wherein the client server system is set.
6. The server device
   Second data transmission means for reading out a moving average value data sequence of short-term, medium-term, and / or long-term stock prices related to one brand designated in the client machine from the predetermined memory and transmitting it to the client machine Including
   The client machine is
   Based on the short-term, medium-term, and / or long-term stock price moving average value data column sent from the first server device, the short-term, medium-term, and / or long-term Masuda footage for one brand 5. A third means for generating a curve and displaying these Masudad curves aligned with a pattern distribution band in the rectangular display area by aligning the time axes with each other is included. Client-server system.
7. A client machine used in a client server system in which a server device and a client machine are connected via the Internet,
   With respect to a group of basic issues sent from the server device, such as Nikkei 225 and TOPIX, which are used as the basis for calculating one stock price trend index, depending on the magnitude relationship of the moving average values of short-term, medium-term, and long-term stock prices First means for storing an appearance number data string for each of the six types of classified patterns in a predetermined memory;
   Each reference time position in the rectangular display area sandwiched between the base line and the ceiling line on the screen of the predetermined display based on the appearance number data string for each pattern stored in the predetermined memory by the first means By arranging the display band symbols of unique colors having a length corresponding to the number of appearances of each of the six types of patterns at the reference time in the stock price axis direction in a predetermined order, And a second means for drawing a pattern distribution band image including a pattern display band of six colors continuous in the time axis direction, and the second means includes:
   In response to a predetermined user operation, setting means for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area;
   The pattern distribution band image is formed in the rectangular display area so that one pattern display band set by the setting means is drawn adjacent to the base line in the rectangular display area. A client machine comprising: image editing means for editing the pattern distribution band image by cyclically shifting a color pattern display band in the vertical direction.
8. Third means for storing a short-term, medium-term, and / or long-term stock price moving average data string of one brand sent from the server device in a predetermined memory;
   Based on the moving average data string of short-term, medium-term, and / or long-term stock prices stored in a predetermined memory by the third means, the short-term, medium-term, and / or long-term Masuda footage for one stock 8. A fourth means for generating a curve and displaying these Masudad curves aligned with the pattern distribution band in the rectangular display area with the time axis aligned is included. Client machine.
9. A client machine used in a client server system in which a server device and a client machine are connected via the Internet,
   With respect to a group of basic issues sent from the server device, such as Nikkei 225 and TOPIX, which are used as the basis for calculating one stock price trend index, depending on the magnitude relationship of the moving average values of short-term, medium-term, and long-term stock prices First means for storing an appearance number data string for each of the six types of classified patterns in a predetermined memory;
   Each reference time position in the rectangular display area sandwiched between the base line and the ceiling line on the screen of the predetermined display based on the appearance number data string for each pattern stored in the predetermined memory by the first means By arranging the display band symbols of unique colors having a length corresponding to the number of appearances of each of the six types of patterns at the reference time in the stock price axis direction in a predetermined order, And a second means for drawing a pattern distribution band image including a pattern display band of six colors continuous in the time axis direction, and the second means includes:
   In response to a predetermined user operation, setting means for setting one pattern display band to be drawn adjacent to the base line in the rectangular display area;
   The pattern distribution band image is formed in the rectangular display area so that one pattern display band set by the setting means is drawn adjacent to the base line in the rectangular display area. A computer program for causing a computer to function as a client machine, comprising image editing means for editing the pattern distribution band image by cyclically shifting a color pattern display band in the vertical direction.
10. Third means for storing a short-term, medium-term, and / or long-term stock price moving average data string of one brand sent from the server device in a predetermined memory;
    Based on the moving average data string of short-term, medium-term, and / or long-term stock prices stored in a predetermined memory by the third means, the short-term, medium-term, and / or long-term Masuda footage for one stock 10. A fourth means for generating a curve and displaying these Masudad curves in time alignment with the pattern distribution bands in the rectangular display region is included. Computer program.

Images