JP2002183451A - Stock price chart - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a stock price chart allowing even a stock market beginner to easily predict a future movement of an optional brand stock with a certain degree of possibility and to easily read a time series fluctuation trend of the stock price from arrangement of price movement columns. SOLUTION: In this stock price chart, a stock rice trend is represented by arranging a required number of price movement columns each extending/ shrinking along a stock price axis in the time axis direction in time sequence on the rectangular coordinates consisting of the time axis and the stock price axis. A time axis allocation width matching one column of price movement represents one day, one of the upper and lower end positions of the price movement column shows a final price shift mean value for predetermined days until that day while the other shows a final shift mean value for predetermined days until the previous day, and the column is colored in a first color when polarity of a difference between the final value shift mean value for the predetermined days to that day and that to the previous day is positive and colored in a second color when the polarity is negative.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a stock price chart suitable for grasping stock price trends, and in particular, even for a novice stock trader, easily predicts future trends of any stock with a certain degree of accuracy. The present invention relates to a stock price chart capable of easily reading a time series fluctuation tendency of a stock price from an array of feet.

[0002]

2. Description of the Related Art A typical stock chart is:
Those using candlesticks are known. The candlestick-type stock price chart is composed of a "foot" (for example, a rectangular strip that expands and contracts in the direction of the stock price axis) on a rectangular coordinate system consisting of a time axis and a stock price axis. )
Are arranged in a time axis direction in a required number of time series.

[0003] In the case of a candlestick-type stock chart, when a so-called daily bar (a bar in which the allocation width of the time axis corresponding to one bar corresponds to one day) is adopted, the length of the bar is set to the opening price of the day. It corresponds to the absolute value of the difference from the closing price, and one of the upper and lower ends of the foot indicates the opening price of the day, and the other indicates the closing price. When the polarity of the difference between the close price and the open price on the day is positive (close price> open price), the color of the foot is the first color (for example, pink, etc.), and when the polarity is negative (close price <open price). Has a second color (for example, blue). Further, vertical thin lines called "whiskers" are drawn from the upper and lower ends of the feet, and the upper end of the upper beard indicates a high price and the lower end of the lower beard indicates a low price.

[0004] According to this stock price chart, the user can roughly know the tendency of the stock price to change on the day by the length and color of the foot, and the stock price value (opening price, opening price, Closing price, high price, low price). In addition, the time series fluctuation tendency of the stock price can be known from the arrangement of a series of adjacent bars.

[0005]

However, in such a stock price chart using candlesticks, since all the information contained in each bar is only related to the day, the stock price repeatedly fluctuates up and down every day. However, if the overall situation is a gradual rise or fall,
It has been pointed out that the fluctuation of the foot length or the color is too sensitive, so that a novice of stock trading may misunderstand future stock price trends.

This problem seems to be solved at first glance by focusing on the trajectory of the arrangement of adjacent candlesticks or the tendency of the envelope to rise and fall (up and down).
However, in the case of a stock chart that employs candlesticks, the closing price of the previous day does not always match the opening price of the current day, and the continuity between the upper and lower ends of the feet is poor. Further, since the whiskers extend from above and below the feet, there is a drawback that it is difficult to grasp the trajectory or the envelope formed by the arrangement of adjacent candlesticks.

[0007] As a stock price chart suitable for grasping stock price trends, a stock price moving average has been conventionally known.
However, since the stock price moving average does not have a concept of a bar in the first place, it is still inconvenient to predict future stock price trends. This moving average is usually used to compensate for the shortcomings of candlesticks.

[0008] The present invention has been made in view of the above-mentioned problems, and an object thereof is to enable even a novice in stock trading to easily determine the future trend of an arbitrary stock with a certain degree of accuracy. It is another object of the present invention to provide a stock price chart which can predict the stock price in a time series and can easily read the time series fluctuation tendency of the stock price from the arrangement of the feet.

It is another object of the present invention to provide a computer program capable of displaying such a stock price chart on a screen of a display device.

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

[0011]

According to the stock chart of the present invention, a required number of legs, each of which has a length extending and contracting along the stock axis, is displayed on a rectangular coordinate system consisting of a time axis and a stock axis. 4 is a stock price chart in which the trend of stock prices is represented by chronological arrangement.

Here, the allocation width of the time axis corresponding to one foot is one day. Either the upper end position or the lower end position of the foot is set as a closing price moving average value for the specified number of days up to the current day, and the other is set as the closing price moving average value for the specified number of days until the previous day. Further, the color of the foot is the first color when the polarity of the difference between the closing moving average for the specified number of days up to the current day and the closing moving average for the specified number of days until the previous day is positive, and when the color of the foot is negative, the color is the first color. 2 colors.

In a preferred embodiment, when the difference between the closing moving average for the specified number of days up to the current day and the closing moving average for the specified number of days up to the previous day is zero, one leg parallel to the time axis is used. It is represented as a straight line and its color is the same as the previous day's foot.

In a preferred embodiment, three types of prescribed days for calculating the closing price moving average are prepared: short term, medium term, and long term, and are prepared using the moving average of the closing price based on each of the three prescribed days. Three types of feet are displayed simultaneously on a common rectangular coordinate.

Another aspect of the stock chart according to the present invention is that a required number of legs, each of which has a length extending and contracting along the stock price axis, is set in a time axis direction on an orthogonal coordinate system consisting of a time axis and a stock price axis. 4 is a stock price chart in which the trend of stock prices is represented by chronological arrangement.

Here, the allocation width of the time axis corresponding to one foot is one week. In addition, one of the upper end position and the lower end position of the foot is the moving average of the weekly reference day closing price for the prescribed number of weeks up to the current week, and the other is the moving average of the weekly reference day closing price for the prescribed number of weeks until the previous week. Value. Further, when the polarity of the difference between the closing price moving average value for the specified number of weeks until the current week and the closing price moving average value for the specified number of weeks until the previous week is positive, the color of the foot is set to the first color, In the case of, it is the second color.

In a preferred embodiment, when the difference between the weekly reference day closing average moving average for the prescribed number of weeks up to the current week and the weekly reference day closing average moving average for the prescribed number of weeks until the previous week is zero,
The foot is represented as a single straight line parallel to the time axis and its color is the same as the previous week's foot.

In a preferred embodiment, the prescribed number of weeks related to the calculation of the closing average moving average on the weekly reference day is a short term, a medium term, or a long term.
Three types of feet are prepared and prepared using the weekly reference day closing price moving average values for each of the three types of prescribed weeks, and are simultaneously displayed on common rectangular coordinates.

The software of the present invention includes the following processing steps a) to d) for projecting a stock price chart on a screen of a display device using a computer.

A) A step of storing a daily closing price data for a specified brand in order to generate a closing price data sequence.

B) a step of generating a closing average moving average value data string by performing a moving average operation on the closing price data string generated in the above step assuming a prescribed number of data;

C) The upper and lower end positions of the daily daily bar are determined based on a pair of successive closing price moving average data extracted from the closing price moving average value data string generated in the above step, and the pair of closing prices are determined. A step of alternatively determining the daily color of the daily bar based on the difference polarity of the moving average value data

D) a step of displaying and displaying daily upper and lower end positions and colors of the colors determined in the above-described steps, in a rectangular coordinate system consisting of a time axis and a stock price axis.

In a preferred embodiment, in step c), when the difference between the pair of closing price moving average data is zero, the foot is a straight line parallel to the time axis and the color is Determined as the same color as the foot.

In a preferred embodiment, in step b), three types of prescribed data numbers are prepared corresponding to the short term, the medium term, and the long term. Three curves are displayed simultaneously.

The software of the present invention viewed from another aspect includes the following processing steps a) to d) for projecting a stock price chart on a screen of a display device using a computer.

A) A step of sequentially storing weekly reference day closing price data of each week for a designated brand to generate a closing price data sequence.

B) A step of generating a weekly reference day closing average moving average data string by performing a moving average operation on the weekly reference day closing price data string generated in the above step, assuming a prescribed number of data.

C) The upper and lower ends of the weekly bar are determined on the basis of a pair of successive weekly reference day closing average moving average data extracted from the weekly reference day closing average moving average data string generated in the step. And alternately determining the color of the weekly bar of each week based on the difference polarity of the pair of closing price moving average value data.

D) a step of displaying and displaying the weekly bar having the upper and lower end positions and colors determined in the above step, superimposed on the rectangular coordinates consisting of the time axis and the stock price axis.

In a preferred embodiment, when the difference between the pair of weekly closing day moving average value data is zero in step c), the foot is represented as a single straight line parallel to the time axis, and The color is determined as the same color as the previous week's foot.

In a preferred embodiment, in step b), three types of prescribed data numbers are prepared corresponding to the short term, the medium term and the long term, and the short term, the medium term and the long term are displayed on the screen of the display device. Three curves are displayed simultaneously.

The stock price of the present invention includes the market price.
“Market” refers to the price of stocks, receivables, commodities, derivatives, options, warrants, etc., and is used in the same meaning in the following description.

The stock price chart of the present invention is created based on the daily closing price data on a daily basis and on a weekly basis on a weekly basis.
They are less sensitive to daily stock price fluctuations, and in the case of weekly charts they are less sensitive to weekly stock price fluctuations.

In addition to the fact that the upper and lower ends of adjacent feet are always connected, the envelope connecting the upper and lower ends of the feet is equivalent to a moving average line, so that a smooth curve as a whole is obtained. Appears, and it is easy to visually grasp the chronological trend of stock prices.

Further, since the length and color of each foot reflects the accumulation of elevation energy for the number of sample days or the number of sample weeks, the future trend of the stock price is relatively easily grasped based on these. it can.

Furthermore, even if the moving average values before and after are the same, the current day is displayed as a single straight line parallel to the time axis and in the same color as the previous day, so that breaks in the legs can be avoided and stock price trends can be avoided. There is no misunderstanding of the change point.

In addition, if the curves created from the short-term, medium-term, and long-term perspectives are simultaneously displayed, the stock price trend prediction can be made from the interrelationship (entanglement) of the short-term, medium-term, and long-term lines. It is possible to perform more accurately.

Therefore, according to the stock price chart of the present invention, even a novice stock trader can easily predict the future trend of any stock with a certain degree of accuracy, and furthermore, the stock price in time series. The fluctuation tendency can be easily read from the foot arrangement.

[0040]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

A functional configuration diagram of a stock price chart creation system according to one embodiment of the present invention is conceptually shown in the block diagram of FIG. As shown in FIG. 1, the stock price chart creation system 1 includes an input unit 2 and a processing unit 3.
A stock price storage means 4 for storing the input stock price, a calculation means 5, a calculation result storage means 6 for storing a calculation result,
Output means 7 for outputting the stock price stored in the calculation result storage means 6.

The stock chart creation system 1 is specifically composed of a personal computer, a work station or the like. In this embodiment, the processing unit 3, the stock price storage unit 4, the calculation unit 5, and the calculation result storage unit 6 are realized by using a personal computer.

The input means 2 includes a keyboard 2a. The keyboard 2a is used for registering company information and occasionally inputting a stock price of the company, and when displaying a chart of a desired brand on a display device 7a as an output unit 7 described later, the name of the brand is used. (Or a stock code for convenience).

The number of stocks on stock exchanges, including over-the-counter stocks, reaches 3,000. Manually inputting the stock price information from the keyboard 2a after 3:00 pm when the closing price is announced requires a great deal of time and effort, and it is unavoidable to make an input error. Therefore, in this example, the online receiving means 2b is provided.

The receiving means 2b transmits the stock price information provided from the stock exchange online (actually, it is transmitted from a stock price provider contracted with the stock exchange. In this embodiment, the stock price information is The description will be given assuming that the stock price information is transmitted from an exchange.), And the captured stock price information is temporarily stored in the cache memory 2c in the receiving means 2b.

The processing means 3 includes a CPU (central processing unit) 3a
And a program storage device 3b. Various programs used in the stock price chart creation system are stored in the program storage device 3b. These programs include a stock price chart creation program and a stock price trend prediction program according to the present invention.

The stock price storage means 4 is constituted by a hard disk provided inside a personal computer. Part of the storage area of this hard disk is
Assigned to. The stock price storage means 4 stores a stock price and a date as a pair for each stock registered in advance. This is because the calculating means 5 described later
This is to specify the stock price on the current day, one before, and two days before when performing the (short-term) calculation.

One example of the stock price information stored in the stock price storage means 4 is shown in FIG. The date, open price, high price, low price, close price, and trading volume are stored as data for one day for one brand. In the present embodiment, creation of a daily stock chart is performed using stock price information for 450 days. The creation of the weekly stock price chart is performed using stock price information for 192 laps. Therefore, the stock price means 4
Stores the stock price information for N days (to be described in detail later) in order to perform these calculations.

The calculating means 5 reads necessary stock price data stored in the stock price storing means 4 according to the procedure of the calculating program stored in the program storage device 3a, and performs a corresponding calculating process. This arithmetic processing includes short-term, medium-term, and long-term moving average calculations using daily data or weekly data.

Here, the "daily data" is stock price data representing a stock price for one day, for example, daily closing price data obtained at 3:00 pm. The “weekly data” is stock price data representing a stock price for one week, and corresponds to, for example, the closing price on a specific day of the week. In the present embodiment, the closing price of every Friday is used as weekly data.However, in the calculation stage, when the latest closing price data is closing price data of a day other than Friday, the closing price data other than Friday is used as weekly data. used.

In this example, the short-term line in the daily chart is, in this example, the Masuda foot (the detail will be described later) which is created by the moving average of the closing price (the 3-day moving average of the closing price) of the last three days (predetermined short period). ) Are drawn in order, and it is also suitable to be able to know the sharp rise, fall, and conversion of stock prices.

In this example, the medium-term line in the daily chart is arranged in such a manner that Masuda feet created by the average value of the closing prices (moving average value of the closing 25 days) of the last 25 days (predetermined middle period) are adjacently arranged in order. It is said that it is suitable for knowing the medium-term change in stock prices and the direction of strength.

In this example, the long-term line in the daily chart is drawn using the average of the closing prices (moving average of 75 days of the closing price) of the latest 75 days (predetermined long term), It is also suitable for knowing the change, strength and direction.

Here, how to draw a short-term line on a daily chart will be described as an example. The same applies to the medium-term line and the long-term line. Constituting the daily short-term line 3
The daily closing price, 3-day moving average and the calculation formula required to draw the Nisuda foot are shown in FIG. A partial enlarged view of the drawn short daily line is schematically shown in FIG. As is apparent from those figures, the value of the closing 3-day moving average value required to create the 3-day Masuda foot is calculated according to the following equation (Equation 1).

[0055]

[Equation 1] Closing price 3-day moving average = (Today's closing price + previous day's closing price + 2 days ago closing price) / 3 (Equation 1)

Specifically, as shown in FIG. 3, the three-day moving average of the closing price on the third day is (800 + 1000 + 1200) ÷ 3 = 1000 The three-day moving average of the closing price on the fourth day is , (1000 + 1200 + 1400) / 3 = 1200 The closing three-day moving average value on the 5th day is obtained in the same manner from (1200 + 1400 + 1600) / 33 on the sixth day.

FIG. 4 shows the results obtained from the third day onward.
The closing price on the 10th day 4 created using the 3-day moving average
It shows an example of a daily short-term line in which three-day Masuda feet on days 10 to 10 are sequentially arranged adjacently. As shown in the figure, the daily “3-day Masuda foot” is a vertical bar of a corresponding length with the closing price 3-day moving average value of the day and the closing price 3-day moving average value of the previous day as an overline or underline, respectively. be painted.

More specifically, the 3rd Masuda foot on the 4th is 4
It is drawn as a vertical bar with the three-day moving average value of the closing price of day 1200 as an underline and the three-day moving average value of three day closing price of 1000 as an underline. In this manner, when the 3-day moving average of today's closing price is higher than the 3-day moving average of the closing price of the previous day (that is, the rising and falling value of Masuda's foot is “up”), the “positive foot” is generally used. Called. For example, pink is used as the color of the vertical bar in the case of “yang foot”.

The three-day Masuda foot on the fifth day is drawn as a pink vertical bar with the three-day moving average of the closing price on the fifth day of 1400 as the upper line and the three-day moving average of the three-day closing price on the fourth day of 1200 as the underline. It is.

The three-day Masuda foot on the sixth day has a three-day moving average value on the sixth day and a three-day moving average value on the five-day closing price of 1400. It is drawn with a similar horizontal pink line.

The 3-day Masuda foot on the 7th is drawn as a vertical bar with the 3-day moving average value of 1300 closing on the 7th as an underline and the 3-day moving average value on the 6th day of 1400 as an underline. In this way, the case where the today's closing 3-day moving average is lower than the previous day's closing 3-day moving average (that is, the case where the elevation value of Masuda foot is “fall”) is generally “hidden foot”. Called. For example, blue is used as the color of the vertical bar in the case of “pubic foot”.

Similarly, Masuda feet on the eighth, ninth, and tenth days are drawn as vertical bars, and pink or blue is used as the color of each Masuda foot.

On the other hand, the short-term line, the medium-term line, and the long-term line in the weekly chart are used to know the medium- to long-term trend of the stock price.

In this example, the short-term line in the weekly chart is obtained by sequentially connecting Masuda's feet created by the moving average value of the closing price (the closing 3-week moving average value) of the last three weeks (predetermined short period). It is drawn, and it is said that it is suitable for getting to know a change that is more gradual than daily.

In this example, the medium-term line in the weekly chart is, in this example, arranged by sequentially arranging Masuda's feet formed by the average of the closing prices of the latest 13 weeks (predetermined middle period) (13-week moving average). It is drawn and is also suitable for obtaining medium-term trading trends.

In this example, the long-term line in the weekly chart is drawn using the average of the closing prices of the latest 26 weeks (predetermined long-term) (the moving average of the 26-week closing price), and the long-term future of the stock price. It is also suitable to be able to know the trend of the.

Returning to FIG. 1, the arithmetic processing performed by the arithmetic means 5 includes moving average calculation using daily data or weekly data, a closing price change rate for stock price trend prediction processing described later, and Masuda. The calculation includes the change rate of the foot.

Here, the “rate of change in closing price” and the “rate of change in Masuda foot” are indices used in the stock price trend prediction processing, and are calculated according to the following equations (Equation 2) and (Equation 3).

## EQU2 ## Closing rate change rate (r) = (closing price at reference time—closing price before one) / closing price before one (2)

[Mathematical expression 3] Masuda foot change rate (m) = (closing price moving average value at reference time-previous closing price moving average value) / previous closing price moving average value ... (Equation 3)

As a specific example, FIG.
Masuda's change rate on the day is (1200-1000) −1000 = 0.2

Next, the calculation result storage means 6 is configured by previously securing a part of a hard disk provided inside the personal computer as a calculation result storage unit. The calculation result storage means 6 includes a daily storage unit 6a for storing moving average value data calculated based on daily schedules, daily closing price change rate data, and daily Masuda foot change rate data. A weekly foot storage unit 6b for storing moving average value data calculated based on the above, weekly closing price change rate data, and weekly Masuda foot change rate data, respectively.

The daily storage unit 6a and the weekly storage unit 6b store short-term and weekly calculations based on the daily and weekly legs, respectively.
Medium-term and long-term stock price moving averages, daily and weekly closing price change rate data and Masuda foot change rate data are stored together with dates.

This date is a reference date for the calculation.
For example, when calculating the short-term moving average value on a daily basis, if the day corresponding to the third day (the day is July 10), the calculation includes the stock prices (closing price on July 9 and July 8). ) Is necessary, and in this case, the closing date of the three-day moving average is calculated (July 10). The change rate of the closing price and the change rate of the Masuda foot are stored corresponding to the calculation reference days of the daily and weekly feet, respectively.

FIG. 5 shows an example of the stock price information stored in the operation result storage means 6. The daily storage section 6a has 4
The stock price moving average value information for 50 days, the closing price change rate data and the Masuda foot change rate data for 450 days are stored.
Similarly, the weekly stock storage unit 6b stores the stock price moving average value information for 192 weeks, the closing price change rate data and the Masuda foot change rate data for 192 weeks, respectively.

The output means 7 includes a display device 7a and a printer device 7b connected to a personal computer. The display device 7a displays an input screen for inputting a stock price or information related to a stock price from the input means 2 according to the program stored in the program storage device 3a of the processing means 3 or is stored in the calculation result storage means 6. A stock chart created based on daily data, weekly data, and the like is displayed. In the present embodiment, a stock price trend notification mark determined by a stock price trend prediction process described later is displayed at a predetermined position on the stock price chart.

The printer device 7b is a display device 7
The stock price chart displayed based on the daily stock data, weekly stock data, and the like stored in the calculation result storage means 6 is printed.

The display device 7a and the printer device 7b, which are the output means 7, are color-compatible. For example, in the case of a three-day Masuda foot, the output means 7 is the date (reference date) from the previous day (one day before). When the three-day moving average of the stock price closes is “Yoashi” (the rise / fall price is “Rise”), the three-day Masuda foot is represented in pink. Similarly, when the three-day moving average of the closing price of the stock price on the day is lower than that of the previous day, that is, “Mr. foot” (the rising and falling value is “Decline”), the three-day Masuda foot is represented in blue. This makes it possible to determine the yin and yang of the stock price at a glance.

Next, the general configuration of a computer program for realizing the above-described stock price chart creation system on a personal computer is shown in the general flowchart of FIG.

As shown in the figure, the computer program includes an input process (step 601), an arithmetic process (step 603) executed on condition that there is an input on the day (step 602), and a chart creation process (step 601). 604) and stock price trend prediction processing (step 605)
And a print process (step 607) executed on condition that there is a print instruction (step 606).

The details of the input process are shown in the flowchart of FIG. As shown in the figure, the input process basically executes the process of receiving the stock price of the day and the process of writing to the cache memory 2c periodically (steps 701 and 702), while the process of inputting the data written to the cache memory 2c is performed. The process of reading out data relating to a previously specified issue from among them and adding the data to the stock price data of the issue in the stock price storage means 4 (steps 703 to 711) is repeated.

The details of the arithmetic processing are shown in the flowchart of FIG. As shown in the drawing, the calculation processing in the present embodiment includes a moving average value calculation processing and a change rate calculation processing.

In the moving average value calculation processing, the stock price data of each brand is read out from the stock price storage means 4 (steps 801 and 817).
A 3-day moving average, a closing 25-day moving average, and a closing 75-day moving average required to create the 25-day Masuda foot and the 75-day Masuda foot are calculated (step 802). Processing to add to the relevant brand data (step 8
06) and 3 weeks Masuda feet, 13 weeks Masuda feet, 26
Closing price 3 weeks moving average, closing price 13 required to create weekly Masuda feet
The process includes calculating a weekly moving average value and a closing 26-week moving average value (step 809) and adding them to the corresponding brand data in the weekly foot storage unit 6b (step 813).

In the change rate calculation processing, as described above, the stock price data of each brand is read from the stock price storage means 4 (steps 801 and 817), and the program storage means 3a is read.
Calculates the daily closing price change rate and the Masuda foot change rate according to the procedure of the stock price trend prediction program stored in the daily stock storage unit 6a (step 803), and adds it to the corresponding brand data in the daily foot storage unit 6a (step 806). Similarly, the process of calculating the closing price change rate and the Masuda foot change rate for each week (step 810) and adding the calculated rate to the corresponding brand data in the weekly foot storage unit 6b (step 813) is included. .

The details of the chart creation processing are shown in the flowchart of FIG. As shown in the figure, the chart creation processing is, in short, according to an instruction (brand, classification) or the like given by the operator via the keyboard 2a or the like (steps 901, 902, 903), etc. The moving average value data of the corresponding number of days to the number of weeks is read out from the weekly storage unit 6b (steps 904, 90
6) Based on the read data, create a Masuda foot of the corresponding color according to the Masuda foot creation rule described above, and connect it to short-term and medium-term daily or weekly lines. , Draw a long-term line (steps 911, 912, 91
3) It is.

Details of the stock price trend prediction processing are shown in FIGS.
Is shown in As is apparent from those figures, FIG.
The stock price trend prediction process shown in step 605 is a process of performing stock price trend prediction itself (see FIGS. 10 to 17).
And a process of determining a notification mark on the chart corresponding to the prediction result (see FIG. 18).

The forecast of the stock price trend is based on the stock price chart (daily,
The short-term line, the medium-term line, and the long-term line (including both weekly) are automatically performed using the following stock price trend prediction methods (1) to (3). (1) The forecast of the stock price trend on the short-term line is based on at least one of the change rate of Masuda at the base time, the change rate of the closing price at the base time, the elevation value of one or more Masuda feet at the base time, and the up / down value. When the predetermined condition is satisfied, it is determined that the stock price after the reference time shows a specific trend when viewed from the short-term line of Masuda. (2) The stock price trend on the medium-term line is calculated as follows: when the rate of change of Masuda at the base time and / or the elevation value of Masuda at the base time satisfy predetermined conditions, the stock price after the base time becomes Judging from the medium-term line, it is determined to indicate a particular trend. (3) The forecast of the stock price trend on the long-term line is that when the elevation value of Masuda at the base time satisfies the predetermined condition, the stock price after the base time shows a specific trend when viewed from the long-term line of Masuda. judge.

A specific embodiment of a method for predicting the future trend of the stock price as viewed from the short-term line of Masuda Ashi in the stock price chart will be described in detail with reference to the flowcharts of FIGS. In addition, in order to facilitate understanding, in the following embodiment, daily foot is adopted as Masuda foot and the reference date is set as today. In these figures, m is the Masuda foot change rate,
r indicates the closing price change rate, H indicates the upper value of Masuda foot, and L indicates the lower value of Masuda foot. Also, in those figures,
"Two before" means two days before, and "three before" means three from today.
Shows the day corresponding to the day before.

Where m: Masuda's change rate = (Length of Masuda's foot at the reference time based on the closing short-term moving average value / the immediately preceding closing short-term moving average value) r: Closing rate change rate = ((the closing price at the reference time) -1 previous closing price) /
(The previous closing price) The same applies in the following description.

As shown in FIG. 10, when the stock price trend prediction process on the short-term line is started, first, a comparison calculation process between the Masuda foot change rate m of the brand data read from the stock price storage means 6 and the constant C1. “| M | <C1” is performed (step 1001). In this example, the constant C1 = 0.015
It is said. The same applies to the constant C1 hereinafter. Here, when “| m | <C1” is true (step 1001 YES), the trend prediction is determined to be “hold” (step 1005).

In step 1001, "| m | <C
If “1” is false (step 1001 NO), in the following step 1002, the Masuda foot change rate m and the constant C
1 and a comparison operation process “m
≧ C1 and r <−C2 ”are performed. In this example, the constant C2 is set to 0.015. The same applies to the constant C2 hereinafter. Here, when “m ≧ C1 and r <−C2” is true (step 1002 YES), the trend prediction is determined to be “hold” (step 1005).

In step 1002, when “m ≧ C1 and r <−C2” is false (step 1002
NO) Then, in the subsequent step 1003, a comparison operation process “m <−C1 and r> C2” of the Masuda foot change rate m and the constant C1 and the close value change rate and the constant C2 is performed. here,
When "m <-C1 and r>C2" is true (step 1003 YES), the trend prediction is determined to be "hold" (step 1005).

In step 1003, “m <−C1
If "r>C2" is false, a filtering process (step 1004), which will be described in detail later, is performed.

The outline of the filter processing (step 1004) is shown in the flowchart of FIG.

As shown in the figure, in the filtering process, first, the elevation value of today's Masuda foot of the read data (hereinafter simply referred to as “the elevation value of today”) is used. Is rising (step 110)
1YES) and data in which today's elevation value is a decrease (step 1101NO).

Here, the "elevation value" means the daily storage section 6a.
Is calculated by comparing the moving average value of the corresponding day stored in. If the moving average value of the relevant day is larger than the previous moving average value, it is determined that the moving average value is ascending, and if it is smaller, it is determined that it is descending. If the moving average value of the corresponding day is equal to the previous moving average value, the elevation value of the previous Masuda foot is used as the elevation value of the corresponding day in the present embodiment. The “elevation value” is calculated similarly in the following embodiments.

Among the data whose elevation value is rising today, the data whose elevation value is falling the previous day are subjected to a filtering process in step 1102 based on various steps described later. On the other hand, data in which the elevation value of the current day is an increase and the elevation value of the previous day is an increase
In 3, a filtering process based on various steps described below is performed.

Among the data whose elevation value is falling today, the data whose elevation value is rising the previous day are subjected to filter processing in step 1104 based on various steps described later. On the other hand, data in which the elevation value of the current day is falling and the elevation value of the previous day is falling are calculated in the following step 110.
At 5, a filtering process based on various steps described below is performed.

Filtering processing is performed on data in which the elevation value of the current day is rising and the elevation value of the previous day is falling (FIG. 1).
Details of (1, step 1102) are shown in the flowchart of FIG.

When the process is started, first, a comparison operation process of the present day's upper limit of the Masuda foot and the previous day's upper value of the Masuda foot is performed ("the upper value of today's Masuda foot <the upper value of the previous day's Masuda foot") (step). 1201).

Here, as the “upside price” of the Masuda foot, if the elevation value of the corresponding Masuda foot is rising, the moving average value of the corresponding day stored in the daily foot storage section 6a is read out. If the elevation value is falling, the moving average value of the day before is read. The “upper value” is similarly read from the daily storage unit 6a in the following embodiments.

If it is determined in step 1201 that “upside value of Masuda's foot today ≦ upside price of Masuda's previous day” is true (YES in step 1201), the trend prediction is “hold”.
Is determined (step 1202).

If “upside price of Masuda today = upside price of Masuda previous day” is false (NO in step 1201), in step 1203, the upside price of today's Masuda foot and Masuda two days before (two days before) A comparison operation process with the upside value of the foot “upside value of today's Masuda foot ≧ upward value of Masuda foot two times before” is performed.
Here, when “upside value of today's Masuda foot ≧ upside value of Masuda before two days” is true (YES in step 1203),
In the following step 1204, the closing rate change rate r and the constant C
5 and a comparison calculation process “r> C5 and m> C6” between the Masuda foot change rate m and the constant C6. In this example, the constants C5 = 0.025 and C6 = 0.025.
The same applies to the constants C5 and C6 hereinafter. here,
If "r> C5 and m>C6" is true (step 1204 YES), the trend prediction is determined to be "strong increase" (step 1206), and if "r> C5 and m>C6" is false (step 1204). 1204 NO), “Raise”
Is determined (step 1205).

In step 1203, when “upside of Masuda's foot today ≧ upward of Masuda before 2 days” is false (NO in step 1203), in next step 1207, the upside of Masuda's foot today and two days before ( A comparison calculation process with the upside value of the Masuda foot (two previous times) is performed. Here, when “the upside of Masuda today <the upside of Masuda before 2” is true (step 1207 YES), in the following step 1208, the closing price change rate r, the constant C5, and the Masuda foot change rate m
Calculation processing of r <C5 and m <C6
Is performed. Here, when “r <C5 and m <C6” is true (step 1208 YES), the trend prediction is determined to be “hold” (step 1210), and “r <
If C5 and m <C6 are false (step 12
08 NO), it is determined to be “raised” (step 120)
9).

In step 1207, if “upside of Masuda's foot today <upside of Masuda's foot two previous days” is false (step 1207 NO), step 1103 in FIG.
Proceed to the filtering process shown in.

Filtering processing for data in which the elevation value of the day is an increase and the elevation value of the previous day is an increase (FIG. 1)
The details of (1, step 1103) are shown in the flowchart of FIG.

When the process is started, first, a comparison operation process of the upside of Masuda's foot today and the upside of Masuda's foot two days before (two days before) is performed. The upper value of the foot is performed (step 1301). Here, when “upside of Masuda today's upside ≦ upside of Masuda before 2 days” is true (step 1301 YES), the trend prediction is “hold”.
Is determined (step 1302).

If “Today's upside of Masuda's foot ≦ upward of Masuda's foot two days ago” is false (step 1301 NO),
In the following step 1303, a comparison operation process of today's Masuda foot's up value three days before (three days before) Masuda foot's up value “Today's Masuda foot up value> Three previous Masuda foot up value” is executed. Will be Here, when “upside price of Masuda today> upside price of Masuda before 3” is true (step 1303Y
ES), and in the next step 1304, the closing price change rate r
And a constant C5, and a comparison operation process “r> C5 and m> C6” between the Masuda foot change rate m and the constant C6. here,
If “r> C5 and m> C6” is true (step 1304 YES), the trend prediction is determined to be “strong increase” (step 1306), and if “r> C5 and m> C6” is false (step 1304). 1304 NO), the trend prediction is determined to be “increase” (step 1305).

In step 1303, when "upside of Masuda's foot today> upside of Masuda's foot three times earlier" is false (step 1303 NO, step 1307 YES),
In the following step 1308, the closing rate change rate r and the constant C
5, a comparison operation process “r <C5 and m <C6” between the Masuda foot change rate m and the constant C6 is performed. Here, "r <
When C5 and m <C6 ”are true (step 13
08)), the trend prediction is determined to be "hold" (step 1310), and when "r <C5 and m <C6" is false (step 1308 NO), it is determined to be "raise" (step 1309).

FIG. 14 is a flowchart showing details of the filtering process (step 1104 in FIG. 11) for data in which the elevation value of the current day is falling and the elevation value of the previous day is rising.

When the process is started, first, a comparison operation process of the present day's Masuda foot's lower value and the previous day's Masuda foot's lower value, “Today's Masuda foot lower value ≧ the previous day's Masuda foot lower value” is performed (step 1401).

Here, as the “lower value” of the Masuda foot, when the elevation value of the corresponding Masuda foot is decreasing, the moving average value of the corresponding day stored in the daily memory 6a is read out. If the elevation value is ascending, the moving average value of the day before is read. The “lower value” is similarly read from the daily storage 6a in the following embodiments.

If it is determined in step 1401 that “the lower value of Masuda's foot today ≧ the lower value of Masuda's previous day” is true (YES in step 1401), the trend prediction is “hold”.
Is determined (step 1402).

If “Masuda's lower price today ≧ Masuda lower price the previous day” is false (step 1401 NO), in the following step 1403, the Masuda lower price of the current day and Masuda of the day before (two days before) are determined. A comparison operation process with the lower value of the foot “the lower value of today's Masuda foot ≧ the lower value of the previous Masuda foot” is performed.
Here, when “the lower value of today's Masuda foot ≧ the lower value of the previous Masuda foot” is true (step 1403 YES),
In the following step 1404, the closing price change rate r and the constant C
5, and a comparison operation process “r> −C5 and m> −C6” between the Masuda foot change rate m and the constant C6. here,
When “r> −C5 and m> −C6” is true (step 1404: YES), the trend prediction is determined to be “hold” (step 1406), and “r> −C5 and m> −”.
When "C6" is false (step 1404 NO),
It is determined to be "down" (step 1405).

In step 1403, when “the lower value of Masuda's foot today ≧ the lower value of Masuda foot two previous times” is false (NO in step 1403), in the next step 1407, the lower value of today's Masuda foot and the previous two times A comparison operation process with the Masuda foot's lower value “Today's Masuda foot lower value <two previous Masuda foot lower prices” is performed. Here, "Today's Masuda foot lower <2
If the previous lower Masuda price is true (step 1
(407 YES), and in the following step 1408, a comparison operation process “r <−C5 and m <−C6” of the closing price change rate r and the constant C5 and the Masuda foot change rate m and the constant C6 is performed. Here, when “r <−C5 and m <−C6” is true (step 1408 YES), the trend prediction is determined to be “strong drop” (step 1410), and “r <−C
5 and m <-C6 "is false (step 14
08NO), it is determined to be "lower" (step 140)
9).

In step 1407, when "the lower value of today's Masuda foot <the lower value of the previous Masuda foot" is false (step 1407 NO), step 1105 in FIG.
Proceed to the filtering process shown in.

Filtering processing is performed on data for which today's elevation value is falling and the previous day's elevation value is falling (FIG. 1).
The details of (1, step 1105) are shown in the flowchart of FIG.

When the process is started, first, a comparison operation process of the today's Masuda foot's lower price and the two days before (two days earlier) Masuda foot's lower value is performed. The lower price of the foot is performed (step 1501). Here, when "the lower value of today's Masuda foot ≥ the lower value of the previous Masuda foot" is true (step 1501 YES), the trend prediction is "hold".
Is determined (step 1502).

When "the lower value of the Masuda foot today ≥ the lower value of the Masuda foot two previous days" is false (step 1501 NO),
In the following step 1503, a comparison operation processing of the today's Masuda foot's lower price three days before (three days before) the Masuda foot's lower price today's Masuda foot's lower price <the three previous Masuda foot's lower price is executed. Is Here, when “today's lower value of Masuda foot <lower value of Masuda foot three times earlier” is true (step 1503Y
ES), and in the subsequent step 1504, the closing price change rate r
And a constant C5, and a comparison operation process “r <−C5 and m <−C6” between the Masuda foot change rate m and the constant C6. Here, when “r <−C5 and m <−C6” is true (step 1504 YES), the trend prediction is “strong drop”.
Is determined (step 1506), “r <−C5 and m
<−C6 ”is false (step 1504N
O), it is determined to be "down" (step 1505).

In step 1503, if "the lower value of today's Masuda foot <the lower value of the previous Masuda foot" is false (step 1503 NO, step 1507 YES),
In the following step 1508, the closing rate change rate r and the constant C
5, and a comparison operation process “r> −C5 and m> −C6” between the Masuda foot change rate m and the constant C6. here,
If “r> −C5 and m> −C6” is true (step 1508 YES), the trend prediction is determined to be “hold” (step 1510), and “r> −C5 and m> −”
When "C6" is false (step 1508 NO),
It is determined to be “down” (step 1509).

A specific embodiment of a method for predicting the future trend of the stock price from the medium-term line of the Masuda foot in the stock price chart will be described in detail with reference to the flowchart of FIG. In the figure, when the processing is started, first, a comparison operation processing “| m | ≦ C3” of the Masuda change rate m of the read data and the constant C3 is performed (step 160).
1). In this example, the constant C3 is set to 0.0029.
Here, when “| m | ≦ C3” is true (step 1601 YES), the trend prediction is determined to be “hold” (step 1602).

In step 1601, “| m | ≦ C
If "3" is false (step 1601 NO), in the following step 1603, it is determined whether or not the elevation value of Masuda's foot today is an increase.

If the elevation value of the current day is falling (step 1603 NO), in the following step 1604,
Comparison operation processing of Masuda foot change rate m and constant C4 [| m | ≧
C4 "is performed. In this example, the constant C4 = 0.025
It is said. The same applies to the constant C4 hereinafter. Here, when “| m | ≧ C4” is true (step 1
604 YES), the trend prediction is determined to be “strong drop” (step 1606), and when “| m | ≧ C4” is false (step 1604 NO), it is determined to be “drop” (step 1606).

In step 1603, when the elevation value of the day is an increase (YES in step 1603), in the following step 1607, the Masuda foot change rate m and the constant C
A comparison operation with “m ≧ C4” is performed. here,
When “m ≧ C4” is true (step 1607Y
ES), the trend forecast is set to “strong increase” (step 16)
09), when “m ≧ C4” is false (step 1)
607 NO), it is determined to be “raised” (step 160)
8).

A specific embodiment of a method for predicting the future trend of the stock price as viewed from the long-term line of Masuda Ashi in the stock price chart will be described in detail with reference to the flowchart of FIG. In the figure, when the processing is started, step 17
At 01, it is determined whether the elevation value of Masuda's foot today is an increase.

When today's elevation value is falling (step 1701 NO), the trend prediction is determined to be “down” (step 1702), and when today's elevation value is up (step 1701 YES), it is determined to be “up”. Is performed (step 1703).

FIG. 1 shows a specific embodiment of a method for determining a stock price trend notification mark based on stock price trend prediction results.
8 will be described in detail. In the figure, when the process is started, first, data of the designated brand is read from the calculation result storage unit 6 (step 1).
801) Then, based on the read data, the stock price trend prediction processing is performed through the above-described various forms of steps (step 1802).

Here, if the trend prediction is determined to be "strong increase" (step 1803), a mark indicating a strong increase is displayed at a predetermined location on the display (predetermined location on the paper at the time of printout) which will be described later. (Step 1804). In this example, two isosceles triangles whose vertices are upward are displayed side by side, and are colored pink.

When the trend prediction is determined to be “up” (step 1805), in this example, one isosceles triangle with the vertex pointing upward is displayed as a mark indicating “up”, and is colored pink. (Step 1806).

If the trend prediction is determined to be “strong drop” (step 1811), in this example, two isosceles triangles whose vertices are downward are displayed side by side as a mark indicating “strong drop”, Color is added (step 18)
12).

If the trend prediction is determined to be “down” (step 1809), a mark indicating “down” is displayed. In this example, one isosceles triangle with the vertex pointing downward is displayed, and the blue color is changed. (Step 1810).

If the trend prediction is determined to be "hold" (step 1807), two isosceles triangles are displayed in the vertical direction as a mark indicating "hold" (step 1808). At this time, the vertex of the isosceles triangle located on the upper side is upward, and the triangle is colored pink. The lower isosceles triangle has its vertices pointing down and is colored blue.

FIG. 19 shows an example of the Masuda foot stock chart displayed on the display device 7a constituting the output means 7 in this way. In this example, a short-term line, a medium-term line, and a long-term line are included in one stock price chart, and the stock price trend of a specific brand can be viewed. In addition, in the figure, 8a is a daily short-term line drawn by connecting three-day
Is the mid-day line drawn by connecting 25-day bars, 8c is 75
It is a daily long-term line drawn by connecting daily legs. The display bar 9 extending in a horizontal line at the top of the screen includes, in order from the right, a short-term display area 9a, a medium-term display area 9b, and a long-term display area 9c.
Are divided into three regions. Information marks M1 to M3 corresponding to the respective results of stock price trend forecast from the Masuda Ashikaga medium-term line, stock price trend forecast from the Masuda Ashikaga line, and stock price trend forecast from the Masuda Ashikaga line
Is attached. On a display bar 10 located above the display bar 9, various stock price information of today's closing price, low price, high price, and opening price is displayed together with the name of the stock of the relevant stock. Therefore,
According to the Masuda chart with the new stock price trend notification mark, even a beginner unfamiliar with stock trading can easily and accurately know when to sell or buy stock.

The details of the printing process are shown in detail in the flowchart of FIG. As shown in the figure, this print processing is, in short, in accordance with an instruction (brand, classification) or the like given by the operator via the keyboard 2a or the like (steps 2001, 2002, 2003) or the like. The moving average value data of the corresponding number of days to weeks is read out from the foot storage unit 6b (step 200).
4, 2006), based on the read data, in accordance with the above-described Masuda foot creation rule, creates Masuda feet of the corresponding color, and connects them to form a short-term daily or weekly short-term line. The medium-term line and the long-term line are drawn on the print buffer (steps 2011, 2012, 2013), and are finally printed out from the printer (step 2019). Note that the details of the arithmetic processing have already been disclosed in detail in Japanese Patent Application Laid-Open No. H11-66154, and thus redundant description will be avoided here.

Next, a stock price chart display system according to the present invention will be described. In the explanation so far, the stock price chart is displayed on the screen, and the relevant stock information and the notification mark corresponding to the results of the short-term forecast, the medium-term forecast, and the long-term forecast are displayed. Can also be displayed.

FIG. 21 shows one mode of the specific display. Incidentally, in this example, Masuda feet are daily feet. As shown in the figure, in the stock price chart display system in the present embodiment, four parallel movable cursor lines C1 to C4 are displayed on the chart so as to be convenient for the stock price prediction by the operator himself. In this example,
The cursor line C1 indicates the reference time, and the display position P1
It is displayed above. Further, the reference time display bar 11 displays various stock price data (stock name, open price, high price, low price, close price) of the stock at the reference time along with the date.

The cursor line C2 indicates the short-term counting point,
The cursor line C3 indicates the mid-term starting point, and the cursor line C4 indicates the long-term starting point.
2 to P4. The display bar 12 located below the display bar 11 is, in order from the right, a short-term counting time display area 1.
2a, a mid-term starting time display area 12b, and a long-term starting time display area 12c. In each of the areas, along with the date and closing price at each starting point,
The stock price trend prediction notification marks M1 to M3 at the reference time are displayed. In addition, M1 is a trend prediction notification mark viewed from the short-term line of Masuda foot at the reference time, M2 is a trend prediction notification mark viewed from the medium-term line of Masuda foot at the reference time, and M3 is viewed from the long-term line of Masuda foot at the reference time. The trend prediction notification marks are shown.

FIG. 22 is a flowchart of a process for realizing such a display system.

In the figure, when the process is started, first, the display positions of the four cursor lines C1 to C4 shown in FIG. 21 are initialized (step 2201). Then
Four cursor lines C1 to C4 are displayed at the display positions P1 to P4 (step 2202).

Here, the display positions P1 to P4 are set so that when the four cursor lines C1 to C4 are displayed on the chart screen, each of the cursor lines C1 to C4 overlaps Masuda's foot on the chart screen. Determined. Also, in this example, three days before and after the reference time (for example, if the date of the reference time is April 10, April 8 corresponds to this), the short-term starting time is calculated, and similarly, 25 days before the medium-term At the time of counting, 7
Five days ago are fixed at the time of long-term accounting. Therefore, the movement of the cursor lines C1 to C4 is a parallel movement while keeping the four cursor lines C1 to C4 at a constant interval.

In the following step 2203, the cursor line C
Various data groups D1 _{1 to} D1 on the corresponding day indicated by _{1 to} C4
₄ , D2, D3, and D4 are read. In this example, as shown in FIG. 23, the data group _D1 1 ~ D1 ₄ is, open the reference time of the relevant stock, high, low, indicates the closing, also the data D2, D3, D4 is The closing price data at the time of each start of the issue is shown, and these data are read from the stock price storage means 4.

[0140] read data _D1 1 _{~ D1} 4 at step 2203, D2, D3, D4 are each represented in numeric corresponding display area 11,12a~12c on the display screen (step 2204).

Further, in this example, by executing the above-described stock price trend forecasting process, the trend forecast notification mark M1 viewed from the short-term line of Masuda's short-term line at the reference time is displayed in the short-term starting time display area 12a, and the medium-term The trend notification mark M2 viewed from the line is displayed in the medium-term starting time display area 12b, and the trend notification mark M3 viewed from Masuda's long-term line is displayed in the long-term starting time display area 12c.

Next, the short-term line based on the 3rd-day Masuda foot, the medium-term line based on the 25th-day Masuda foot, and the short-term, medium-term, and long-term line formed by connecting the 75th-day Masuda foot are displayed on a chart (step 2206).

In the following step 2207, it is determined whether or not a cursor moving operation has been performed. This cursor movement operation is performed by, for example, an operator's keyboard operation. Here, when the cursor moving operation is confirmed (step 22).
07YES) Display position P of four cursors C1 to C4
1 to P4 are changed according to the operation. Next, the processing of steps 2202 to 2206 is performed, and the presence or absence of a cursor moving operation is determined again (step 2207).

That is, in the present embodiment, the cursor lines C1 to C1 correspond to the keyboard operation of the operator.
Because C4 can be translated, along with the reference time,
It is possible to simultaneously indicate the Masuda feet on the days corresponding to the short-term starting point, the medium-term starting point, and the long-term starting point until the reference point by using the cursors C1 to C4.

If there is no cursor movement operation in step 2207 (step 2207 NO), then it is determined whether or not to continue the program (step 2209). When continuation is confirmed, the process returns to step 2207, but when continuation is not confirmed (step 2209 NO), the program ends.

In the stock chart display system according to the present embodiment, the various additional information described above facilitates the prediction of the stock price by the operator. Hereinafter, a method of predicting stock price trends on a daily basis using this display system will be described.

First, the reference time point (cursor line C1)
To today. At this time, the reference time point display bar 11 on the screen displays today's date and four numerical values of today's opening price, high price, low price, and closing price. At this time,
The cursor line C2 is automatically adjusted to three days before the reference time, the cursor line C3 is automatically adjusted to 25 days before the reference date, and the cursor line C4 is automatically adjusted to 75 days before the reference time. In addition, the display areas 12a to
At 12c, a stock price trend notification mark as viewed from each of the short-term, middle-term, and long-term Masuda feet is displayed.

Next, the closing price (to be referred to as A) of tomorrow is predicted with reference to the opening price, the high price, the low price, and the closing price of the current day indicated on the reference time display bar 11.
A comparison is made with the closing price (B) corresponding to the short-term starting point shown in FIG. In addition,
The reason for comparison with the closing price three days ago is that the Masuda short-term line is formed based on the three-day moving average including the reference time point. That is, in the case of predicting the stock price trend as seen from the medium-term line of Masuda foot, A is compared with the closing price of 25 days before shown in 12b. In addition, in the case of predicting the stock price trend from the viewpoint of Masuda's long-term line, A is compared with the closing price 75 days before indicated at 12c.

Here, if A> B, it is predicted that Masuda's feet tomorrow will be pink indicating an increase. In addition, display bar 1
It is also possible to improve the accuracy of the prediction by taking into account the stock price trend prediction notification mark shown in FIG.

If the above comparison result indicates that A ≦ B, the tomorrow's Masuda foot is predicted to be blue, indicating a drop. Similarly, the accuracy of the prediction is improved by taking into account the stock price trend prediction notification mark shown on the display bar 12.

The stock price trend prediction in the stock price chart system described above is an example for suitably using the stock price chart display system of the present embodiment, and it goes without saying how the above-described additional information and the like are used. It is left to the user.

In the above embodiment, when the stock price chart is created, the daily calculation is three days in the short term and two in the medium term.
5 days, long term is 75 days, weekly calculation is short term, 3 weeks,
The closing price moving average value was calculated with the medium term being 13 weeks and the long term being 26 weeks, and these same numbers and the number of weeks are, for example, 4 days or 5 days for the short term and 24 days for the medium term when calculating daily schedules. Alternatively, the calculation may be made assuming that 26 days and the long term are 74 days or 76 days, and the number of days and weeks is not particularly limited as long as the number of days and the number of weeks are approximated.

[0153]

As is clear from the above description, according to the stock price chart of the present invention, the daily price is calculated based on the daily closing price and the weekly price is calculated based on the weekly closing average value data on the weekly basis. In the case of a daily chart, it does not react very sensitively to daily stock price fluctuations, and in the case of a weekly chart, it does not respond very sensitively to weekly stock price fluctuations.

Further, in addition to the fact that the upper or lower end is always connected between adjacent feet, the envelope connecting the upper or lower end of the foot is equivalent to the moving average line, so that a smooth curve as a whole is obtained. Appears, and it is easy to visually grasp the chronological trend of stock prices.

Further, since the length and color of each foot reflects the accumulation of elevation energy for the number of sample days or the number of sample weeks, the future trend of the stock price can be relatively easily grasped based on them. it can.

Furthermore, even if the moving average values before and after are the same, the current day is displayed as a single straight line parallel to the time axis and in the same color as the previous day, so that breaks in the legs can be avoided and stock price trends can be avoided. There is no misunderstanding of the change point.

In addition, if the curves created from the short-term, medium-term, and long-term perspectives are simultaneously displayed, the stock price trend prediction can be made based on the interrelation (entanglement) of the short-term, medium-term, and long-term lines. It is possible to perform more accurately.

Therefore, according to the stock price chart of the present invention, even a novice stock trader can easily predict the future trend of any stock with a certain degree of accuracy, and furthermore, the stock price in time series. The fluctuation tendency can be easily read from the foot arrangement.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a stock price chart creation system.

FIG. 2 is a diagram illustrating an example of stock price information.

FIG. 3 is a diagram showing a specific example of a three-day moving average.

FIG. 4 is a diagram showing an example of Masuda foot (short-term daily line).

FIG. 5 is a diagram showing an example of stock price information stored in an arithmetic storage unit.

FIG. 6 is a general flowchart showing the configuration of a computer program.

FIG. 7 is a flowchart showing details of an input process.

FIG. 8 is a flowchart illustrating details of a calculation process.

FIG. 9 is a flowchart illustrating details of a chart creation process.

FIG. 10 is a flowchart showing short-term stock price trend prediction processing.

FIG. 11 is a flowchart illustrating an outline of a filtering process.

FIG. 12 is a detailed flowchart showing filter processing in short-term stock price trend prediction processing.

FIG. 13 is a detailed flowchart (part 2) illustrating a filtering process in the short-term stock price trend prediction process.

FIG. 14 is a detailed flowchart (part 3) illustrating a filtering process in the short-term stock price trend prediction process.

FIG. 15 is a detailed flowchart (part 4) illustrating a filter process in the short-term stock price trend prediction process.

FIG. 16 is a flowchart showing a medium-term stock price trend prediction process.

FIG. 17 is a flowchart showing a long-term stock price trend prediction process.

FIG. 18 is a flowchart showing stock price trend prediction notification mark determination processing.

FIG. 19 is a diagram showing an example of a Masuda foot stock chart.

FIG. 20 is a diagram illustrating details of a print process.

FIG. 21 is a diagram showing a display example of a stock price chart display system.

FIG. 22 is a flowchart showing the processing of the stock price chart display system.

FIG. 23 is a diagram for explaining various data contents shown in FIG. 22;

[Explanation of symbols]

 1 Stock Price Chart Creation System 2 Input Means 3 Processing Means 4 Stock Price Storage Means 5 Calculation Means 6 Calculation Result Storage Means 7 Output Means 8a Daily Short-Term Line 8b Daily Mid-Term Line 8c Daily Long-Term Line 9,10,11,12 Display Bar 9a Short-term forecast display area 9b Medium-term forecast display area 9c Long-term forecast display area 12a Short-term start time display area 12b Mid-term start time display area 12c Long-term start time display area

[Procedure amendment]

[Submission Date] December 6, 2001 (2001.12.
6)

[Procedure amendment 1]

[Document name to be amended] Statement

[Correction target item name] Claim 4

[Correction method] Change

[Correction contents]

[Procedure amendment 2]

[Document name to be amended] Statement

[Correction target item name] 0004

[Correction method] Change

[Correction contents]

[0004] According to this stock price chart, the user can roughly know the tendency of the stock price to change on the day by the length and color of the foot, and the stock price value (opening price, opening price, closing price, high, low) as possible out to the know specifically. In addition, the time series fluctuation tendency of the stock price can be known from the arrangement of a series of adjacent bars.

[Procedure amendment 3]

[Document name to be amended] Statement

[Correction target item name] 0034

[Correction method] Change

[Correction contents]

The stock price chart of the present invention is created based on the daily closing price data on a daily basis and on a weekly basis on a weekly basis.
It is not very sensitive to daily stock price fluctuations, and in the case of weekly charts it is not very sensitive to weekly stock price fluctuations.

[Procedure amendment 4]

[Document name to be amended] Statement

[Correction target item name] Explanation of sign

[Correction method] Change

[Correction contents]

[Description of Signs] 1 stock price chart creation system 2 input means 3 processing means 4 stock price storage means 5 calculation means 6 calculation result storage means 7 output means 8a daily short-term line 8b daily mid-term line 8c daily long-term line 9,10, 11,12 bar 9a term prediction display area 9b metaphase forecast display area 9c LTP display area 12a short counting time display area 12b metaphase counting time display area 12c long counting time display area

Claims (12)

[Claims] 1. A stock price trend by arranging, on a rectangular coordinate system consisting of a time axis and a stock price axis, legs each having a required length along the stock price axis in a time axis direction in a required number of time series. A time axis allocation width corresponding to one foot is one day, and either the upper end position or the lower end position of the foot is a closing price movement for a specified number of days until the day. The average value, the other is the closing price moving average for the specified number of days up to the previous day, and the color of the foot is the closing price moving average for the specified number of days up to the current day and the closing price moving average for the specified number of days up to the previous day When the polarity of the difference from the value is positive, the color is set to the first color, and when the polarity is negative, the color is set to the second color. 2. When the difference between the closing moving average for the specified number of days up to the current day and the closing moving average for the specified number of days up to the previous day is zero, the foot is represented as a single line parallel to the time axis. 2. The stock price chart according to claim 1, wherein the color is the same color as the previous day's feet. 3. The stipulated number of days for calculating the closing moving average value is as follows:
Three types of short-term, medium-term, and long-term are prepared, and three types of feet created using the moving average of the closing price for each of the three specified days are simultaneously displayed on common rectangular coordinates. The stock price chart according to claim 1. 4. A stock price trend by arranging feet whose lengths extend and contract along the stock price axis in a time axis direction in a time series on orthogonal coordinates composed of a time axis and a stock price axis. In the stock chart, the allocation width of the time axis corresponding to one of the feet is one week, and either the upper end position or the lower end position of the feet corresponds to a prescribed number of weeks until the current week. The weekly closing day moving average for the weekly reference day and the other weekly closing day moving average for the specified number of weeks up to the previous week, and the color of the foot is the weekly closing day for the specified number of weeks up to the current week. When the polarity of the difference between the moving average value and the weekly closing day moving average value for the specified number of weeks up to the previous week is positive, the first color is used, and when the polarity is negative, the second color is used. Stock chart to do. 5. When the difference between the moving average value of the weekly reference day closing price for the specified number of weeks up to the current week and the moving average value of the weekly reference day closing price for the specified number of weeks until the previous week is zero, the bar is set on the time axis. The stock price chart according to claim 4, wherein the stock price chart is represented as one parallel straight line, and its color is the same color as the previous week's feet. 6. The prescribed number of weeks for calculating the closing average moving average on the weekly reference day is prepared in three types: short term, medium term, and long term.
6. The foot according to claim 4, wherein three types of feet created using the weekly reference day closing price moving average value for each of the specified number of weeks are simultaneously displayed on common rectangular coordinates. Stock chart. 7. Software which comprises the following processing steps a) to d) for projecting a stock chart on a screen of a display device using a computer. a) a step of sequentially storing daily closing price data for a specified brand to generate a closing price data string; b) a moving average of the closing price data string generated in the above step assuming a prescribed number of data samples; Generating a closing price moving average value data sequence by performing a conversion operation; c) Daily daily schedule based on a pair of preceding and following closing price moving average value data extracted from the closing price moving average value data sequence generated in the above step. Determining the upper and lower end positions of the pair, and alternately determining the color of the daily daily bar based on the difference polarity of the pair of closing price moving average value data. D) The upper and lower end positions determined in the above step and A step of displaying and outputting daily daily bars having colors on rectangular coordinates composed of a time axis and a stock price axis 8. In step c), when the difference between the pair of closing price moving average data is zero, the foot is represented as one straight line parallel to the time axis, and its color is determined as the same color as the previous day's foot. The software according to claim 7, which is executed. 9. In step b), three types of prescribed data numbers are prepared for the short term, the medium term, and the long term, and three curves of the short term, the medium term, and the long term are simultaneously displayed on the screen of the display device. 9. The software according to claim 7, wherein the software is executed. 10. Software which comprises the following processing steps a) to d) for projecting a stock chart on a screen of a display device using a computer. a) A step of storing weekly closing date data of each week in order for a designated brand to generate a weekly closing date data row b) A step of defining a weekly closing day data row generated in the above step Generating a moving average data sequence for the weekly reference day closing price by performing a moving average operation on the assumption of the number of data samples of c) c) extracted from the moving average value data sequence for the weekly reference day closing price generated in the above step The upper and lower ends of the weekly bar are determined based on the pair of weekly closing day moving average data, and the color of the weekly bar is determined based on the polarity of the pair of weekly closing day moving average data. D) a step of displaying and outputting the weekly bar having the upper and lower end positions and the colors determined in the above step in the rectangular coordinates consisting of a time axis and a stock price axis; -Up 11. In step c), when the difference between the pair of weekly closing day closing average moving average data is zero, the foot is represented as a single straight line parallel to the time axis, and its color is the same as the previous week's foot. The software of claim 10, wherein the software is determined as a color. 12. In step b), three types of prescribed data numbers are prepared corresponding to the short term, the medium term and the long term, and three curves of the short term, the medium term and the long term are simultaneously displayed on the screen of the display device. 2. The method according to claim 1, wherein
12. The software according to 0 or 11.