Stock price chart

Description: TECHNICAL FIELD [Detailed description of the invention]

【0001】

[Technical field to which the invention belongs]

The present invention relates to a stock price chart suitable for grasping stock price trends, and in particular, even a beginner of stock trading can easily predict future trends of any stock with a certain degree of accuracy, and moreover, the stock price It relates to a stock price chart that makes it easy to read the time-series fluctuation tendency from the arrangement of legs.

【0002】

[Conventional technology]

A typical stock price chart is known to use candlesticks. This candlestick stock chart is a "foot" that expands and contracts along the stock price axis on Cartesian coordinates consisting of the time axis and the stock price axis (for example, a rectangular strip that expands and contracts in the direction of the stock price axis). ) Are arranged in the required number time series in the time axis direction.

【0003】

In the case of candlestick stock charts, if the so-called daily bar (the bar whose time axis allocation width corresponding to one bar corresponds to one day) is adopted, the length of the bar will be the opening price and closing price of the day. It corresponds to the absolute value of the difference, and either the upper end or the lower end of the bar indicates the opening price of the day and the other indicates the closing price. Also, when the polarity of the difference between the closing price and the opening price on the day is positive (closing price> opening price), the color of the foot is the first color (for example, pink), and when it is negative (closing price <opening price). Is a second color (eg blue, etc.). Further, a vertical thin line called a "whisker" is drawn from the upper and lower ends of the foot, and the upper end of the upper whiskers shows the high price and the lower end of the lower whiskers shows the low price.

【0004】

According to this stock price chart, the user can roughly know the fluctuation tendency of the stock price of the day by the length and color of the foot, and the stock price value (open price, close price, high price) by the upper and lower ends of the foot and whiskers. , Low price) can be known concretely. In addition, the time-series fluctuation tendency of the stock price can be known from the array of a series of adjacent legs.

【0005】

[Problems to be Solved by the Invention]

However, in the stock price chart that adopts such candlesticks, all the information contained in each bar is only related to the day, so the stock price rises or falls gradually as a whole while repeating violent ups and downs every day. It has been pointed out that in such a situation, fluctuations in leg length or color are too sensitive, and beginners of stock trading may misunderstand future stock price trends.

【0006】

At first glance, such a problem seems to be solved by paying attention to the trajectory formed by the arrangement of adjacent candlesticks or the ascending / descending tendency (upward tone, downward tone) of the envelope. However, in the stock price chart that uses candlesticks, the closing price of the previous day does not always match the opening price of the day in light of the actual situation of stock trading, so the continuity between the upper and lower ends of the bar is poor, and in addition Since the whiskers extend from the top and bottom of the legs, there is a drawback that it is difficult to grasp the locus or envelope formed by the arrangement of adjacent candlesticks.

【0007】

The stock price moving average has been conventionally known as a stock price chart suitable for grasping stock price trends. However, since the concept of a foot does not exist in this stock price moving average, it is still inconvenient for forecasting future stock price trends. This moving average is usually used to make up for the shortcomings of candlesticks.

【0008】

The present invention has been made by paying attention to the above-mentioned problems, and the purpose of the present invention is to easily predict the future trend of any stock with a certain degree of certainty even if it is a beginner of stock trading. The purpose of the present invention is to provide a stock price chart that enables the time-series fluctuation tendency of stock prices to be easily read from the array of legs.

【0009】

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

【0010】

Furthermore, other objects of the present invention as well as effects and effects will be easily understood by those skilled in the art by the description of the following specification.

【0011】

[Means for solving problems]

In the stock price chart of the present invention, stock prices are obtained by arranging the required number of legs whose lengths expand and contract along the stock price axis in the required number time series on the Cartesian coordinates consisting of the time axis and the stock price axis. It is a stock price chart that shows the trend of.

【0012】

Here, the allocation width of the time axis corresponding to one leg is defined as one day. In addition, either the upper end position or the lower end position of the foot is set as the 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 up to the previous day. Furthermore, the color of the foot is the first color when the polarity of the difference between the closing price moving average value for the specified number of days up to the current day and the closing price moving average value for the specified number of days up to the previous day is positive, and when it is negative, the first color. It is said to be 2 colors.

【0013】

In a preferred embodiment, when the difference between 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 is zero, the bar is represented as a straight line parallel to the time axis. And the color is the same as the foot of the previous day.

【0014】

In a preferred embodiment, three types of specified days related to the calculation of the closing price moving average value are prepared, short-term, medium-term, and long-term, and three types created by using the closing price moving average value according to each of the three types of specified number of days. The feet are displayed simultaneously on common Cartesian coordinates.

【0015】

The stock price chart of the present invention seen from another aspect is a time-series required number of legs whose lengths expand and contract along the stock price axis on the Cartesian coordinates consisting of the time axis and the stock price axis. It is a stock price chart that shows the trend of the stock price by arranging it in.

【0016】

Here, the allocation width of the time axis corresponding to one leg is one week. In addition, either the upper end position or the lower end position of the foot is set as the weekly base day closing price moving average for the specified number of weeks up to the current week, and the other is the weekly base day closing price moving average for the specified number of weeks up to the previous week. It is a value. Furthermore, the color of the foot is regarded as the first color when the polarity of the difference between the closing price moving average value for the specified number of weeks up to the current week and the closing price moving average value for the specified number of weeks up to the previous week is positive, and is negative. At that time, it is the second color.

【0017】

In a preferred embodiment, when the difference between the weekly base day closing price moving average for the specified number of weeks up to the current week and the weekly base day closing price moving average for the specified number of weeks up to the previous week is zero, the bar is on the time axis. It is represented as a straight line parallel to, and its color is the same as that of the previous week's foot.

【0018】

In a preferred embodiment, three types of specified weeks for calculating the weekly base day closing price moving average value are prepared, short-term, medium-term, and long-term, and the weekly base day closing price moving average value for each of these three types of specified number of weeks is set. The three types of feet created using are displayed simultaneously on common Cartesian coordinates.

【0019】

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

【0020】

a) Steps to generate a closing price data string by sequentially storing daily closing price data for the specified issue [0021] [0021]

b) A step of generating a closing price moving average data string by performing a moving average operation on the closing price data string generated in the above step on the premise of a specified number of data. [0022]

c) The upper and lower ends of the daily daily bar are determined by the pair of closing price moving average data before and after the phase extracted from the closing price moving average data string generated in the above step, and the pair of closing price moving average values. Steps to alternately determine the daily daily color according to the difference polarity of the data [0023]

d) A step of displaying and outputting the daily daily bar having the upper and lower end positions and colors determined in the above step by superimposing them on the Cartesian coordinates consisting of the time axis and the stock price axis. [0024]

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

【0025】

In a preferred embodiment, in step b), three types of specified data numbers are prepared for short-term, medium-term, and long-term data, and three types of short-term, medium-term, and long-term data are displayed on the screen of the display device. Curves are displayed at the same time.

【0026】

From another aspect, the software of the present invention includes the following processing steps a) to d) for displaying a stock price chart on the screen of a display device using a computer.

【0027】

a) A step to generate a closing price data column by sequentially storing the weekly base day closing price data for the specified stock. [0028]

b) A step of generating a weekly base day closing price moving average data string by performing a moving average operation on the weekly base day closing price data string generated in the above step on the premise of a specified number of data. [0029]

c) Determine the upper and lower end positions of each week's weekly basis from a pair of weekly base day closing price moving average data before and after the phase extracted from the weekly base day closing price moving average data column generated in the above step. A step to alternately determine the color of the weekly bar by the difference polarity of the pair of closing price moving average data [0030]

d) A step of displaying and outputting the weekly weekly bar having the upper and lower end positions and colors determined in the above step by superimposing them on the Cartesian coordinates consisting of the time axis and the stock price axis. [0031]

In a preferred embodiment, in step c), when the difference between the pair of weekly base day closing price moving average data is zero, the bar is represented as a straight line parallel to the time axis and its color is the previous week. Determined as the same color as the feet.

【0032】

In a preferred embodiment, in step b), three types of specified data numbers are prepared for short-term, medium-term, and long-term data, and three types of short-term, medium-term, and long-term data are displayed on the screen of the display device. Curves are displayed at the same time.

【0033】

The stock price of the present invention includes the market price. "Market price" refers to the prices of stocks, bonds, commodities, derivatives, options, warrants, etc., and shall be used in the same meaning in the following specifications.

【0034】

Since the stock price chart of the present invention is created based on the daily closing price average value data in the case of the daily bar and the weekly closing price average value in the case of the weekly bar, the daily stock price chart is sensitive to daily stock price fluctuations. It doesn't react very much to, and in the case of weekly charts, it doesn't react very sensitively to weekly stock price fluctuations.

【0035】

In addition to the fact that the upper and lower ends are always connected between adjacent feet, the envelope connecting the upper and lower ends of the feet is equivalent to the moving average line, so a smooth curve appears as a whole. It is easy to visually grasp the time-series trends of stock prices.

【0036】

In addition, since the length and color of each foot reflect the accumulation of ascending / descending energy for the number of sample days or the number of sample weeks, the future trend of the stock price can be grasped relatively easily based on them.

【0037】

Furthermore, even if the moving averages before and after the phase are the same, the current day is displayed as a straight line parallel to the time axis and in the same color as the previous day, so it is possible to avoid breaks in the legs and change points in stock price trends. Don't misunderstand.

【0038】

In addition, if the curves created from the short-term, medium-term, and long-term perspectives are displayed at the same time, the stock price trend forecast will be more accurate from the interrelationship (entanglement) of the short-term, medium-term, and long-term lines. It becomes possible to do.

【0039】

Therefore, according to the stock price chart of the present invention, even a beginner of stock trading can easily predict the future trend of any stock with a certain degree of certainty, and moreover, the stock price can be easily changed over time. It can be easily read from the arrangement of the legs.

【0040】

BEST MODE FOR CARRYING OUT THE INVENTION

Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

【0041】

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

【0042】

Specifically, the stock price chart creation system 1 is composed of a personal computer, a workstation, or the like. In the present embodiment, the processing means 3, the stock price storage means 4, the calculation means 5, and the calculation result storage means 6 are realized by using a personal computer.

【0043】

Input means 2 includes a keyboard 2a. This keyboard 2a is used for registering company information, inputting company stock prices at any time, and when displaying a chart of a desired brand on a display device 7a as an output means 7, which will be described later, the name of the brand. (Or, for convenience, it is also used to enter the stock code).

【0044】

The number of stocks handled on the stock exchange, including over-the-counter stocks, reaches 3,000. It takes a lot of time and effort to manually input all of these stock price information from the keyboard 2a after 3:00 pm when the closing price is announced, and it is unavoidable to make a typo. Therefore, in this example, the online receiving means 2b is provided.

【0045】

The receiving means 2b sends the stock price information provided by the stock exchange online (actually, it is transmitted from the stock price provider contracted with the stock exchange, but in the present embodiment, the stock price information is sent from the stock exchange. It will be described as being transmitted.), And the imported stock price information is temporarily stored in the cache memory 2c in the receiving means 2b.

【0046】

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 forecast program according to the present invention.

【0047】

The stock price storage means 4 is composed of a hard disk provided inside a personal computer. A part of the storage area of this hard disk is allocated to the stock price storage means 4. In the stock price recording means 4, the stock price and the date are stored as a pair for each of the stocks registered in advance. This is because the calculation means 5, which will be described later, specifies the stock price on the current day, the previous day, and the day before the previous day, for example, when performing a daily (short-term) calculation.

【0048】

An example of the stock price information stored in the stock price storage means 4 is shown in FIG. For one issue, the date, opening price, high price, low price, closing price, and trading volume are stored as one day's worth of data. In the present embodiment, the daily stock price chart is created using the stock price information for 450 days. Weekly stock price charts are created using stock price information for 192 laps. Therefore, the stock price recording means 4 stores stock price information for N days (details will be described later) in order to perform these calculations.

【0049】

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

【0050】

Here, the "daily data" is stock price data representing the stock price for one day, and for example, the daily closing price data obtained at 3:00 pm corresponds to this. "Weekly data" is stock price data that represents the 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 the weekly data, but when the latest closing price data is the closing price data of the day of the week other than Friday in the calculation stage, the closing price data other than the Friday is used as the weekly data. used.

【0051】

In this example, the short-term line in the daily chart is the Masuda bar (details will be described later) created by the moving average of the closing price of the last 3 days (predetermined short period) (the 3-day moving average of the closing price). It is drawn by consolidating, and it is also suitable for knowing the sharp rise, fall, and conversion of stock prices.

【0052】

In this example, the medium-term line in the daily chart is drawn by arranging Masuda bars created by the average closing price (25-day moving average of the closing price) of the last 25 days (predetermined medium period) in order. It is also suitable for knowing the medium-term conversion of stock prices and the direction of strength and weakness.

【0053】

In this example, the long-term line on the daily chart is drawn using the average closing price of the last 75 days (predetermined long-term) (75-day moving average of the closing price), and the medium- to long-term conversion and strength of the stock price. It is also suitable for knowing the direction.

【0054】

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. The daily closing price, 3-day moving average, and its formula required to draw the 3-day Masuda bar that make up the daily short-term line are shown in Figure 3 in a 10-day tabular format, and the 3-day chart is shown. A partially enlarged view of the daily short-term line actually drawn using the Masuda bar is shown schematically in Figure 4. As is clear from those figures, the value of the closing price 3-day moving average required to create the 3-day Masuda foot is calculated according to the following equation (Equation 1).

【0055】

[Number 1]

Closing price 3 days moving average = (Today's closing price + previous day's closing price + 2 days ago closing price) ÷ 3 ... (Equation 1) [0056]

Specifically, as shown in Fig. 3, the closing price on the 3rd day, the 3-day moving average, is (800 + 1000 + 1200) ÷ 3 = 1000 The closing price on the 4th day, the 3-day moving average, is (1000 + 1200 + 1400) ÷ 3 = 1200 The closing price on the 5th day, the 3-day moving average, is (1200 + 1400 + 1600) ÷ 3 = 1400 The same is required after the 6th day.

【0057】

In Fig. 4, the 3rd day Masuda bars on the 4th to 10th days created by using the 3rd day moving average of the closing prices on the 3rd to 10th days obtained in this way are arranged adjacent to each other in order. It shows an example of the daily short-term line. As shown in the figure, the daily "3-day Masuda foot" is a vertical bar with a corresponding length that overlines or underlines the closing 3-day moving average of the day and the closing 3-day moving average of the previous day, respectively. be painted.

【0058】

More specifically, the 3-day Masuda foot on the 4th is drawn as a vertical bar with the closing price of the 4th, the 3-day moving average of 1200, as the overline and the closing price of the 3rd, the 3-day moving average of 1000, as the underline. Is done. In this way, when today's closing 3-day moving average is higher than the previous day's closing 3-day moving average (that is, when the 3-day Masuda bar's ups and downs are "rising"), it is generally "positive foot". It is called. For example, pink is used as the color of the vertical bar in the case of "positive foot".

【0059】

The 3-day Masuda foot on the 5th is drawn as a pink vertical bar with the closing price of the 5th, the 3-day moving average of 1400, as the overline and the closing price of the 4th, the 3-day moving average of 1200, as the underline.

【0060】

The 3-day Masuda foot on the 6th is the same pink as the 5th (one before) because the closing price on the 6th, the 3-day moving average, and the closing price on the 5th, the 3-day moving average, are both 1400. It is drawn with a single horizontal line of color.

【0061】

The 3-day Masuda foot on the 7th is drawn as a vertical bar with the closing price of the 7th, the 3-day moving average of 1300, underlined and the closing price of the 6th, the 3-day moving average of 1400, as the overline. In this way, when today's closing 3-day moving average is lower than the previous day's closing 3-day moving average (that is, when the 3-day Masuda foot's ups and downs are "down"), it is generally "negative foot". It is called. For example, blue is used as the color of the vertical bar in the case of "shadow foot".

【0062】

Similarly, the Masuda legs on the 8th, 9th, and 10th days are also drawn as vertical bars, and pink or blue is used as the color of each Masuda leg.

【0063】

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

【0064】

In this example, the short-term line in the weekly chart is drawn by connecting the Masuda bars created by the moving averages of the closing prices (closing prices of 3 weeks) in order for the last 3 weeks (predetermined short period). It is also suitable for knowing a gradual change from the daily rate.

【0065】

In this example, the mid-term line in the weekly chart is drawn by arranging Masuda bars created by the average closing price (closing price 13-week moving average) of the last 13 weeks (predetermined medium period) in order. It is also suitable for learning about medium-term trading trends.

【0066】

In this example, the long-term line on the weekly chart is drawn using the average closing price (closing price 26-week moving average) of the last 26 weeks (predetermined long-term), and shows the long-term future trends of stock prices. It is also suitable for knowing.

【0067】

Returning to FIG. 1, the arithmetic processing performed by the arithmetic means 5 includes the moving average operation using daily data or weekly data, as well as the closing price change rate and the Masuda bar change rate for the stock price trend forecast processing described later. Includes operations on.

【0068】

Here, the "closing price change rate" and the "Masuda foot change rate" are indexes used in the stock price trend forecasting process, and are obtained according to the following equations (Equation 2) and (Equation 3).

[Number 2]

Closing price change rate (r) = (closing price at reference time-1 previous closing price) / 1 previous closing price ... (Equation 2) [Number 3]

Masuda foot change rate (m) = (Closed moving average at reference time-1 previous closing moving average) / Previous closing price moving average ... (Equation 3) [0069]

As a specific example, the rate of change in Masuda foot on the 4th day shown in Fig. 3 is (1200-1000) ÷ 1000 = 0.2 [0070]

Next, the calculation result storage means 6 is configured by preliminarily securing a part of the hard disk provided inside the personal computer as the calculation result storage unit. The calculation result storage means 6 stores the moving average value data calculated based on the daily bar, the daily closing price change rate data, and the daily Masuda bar change rate data, respectively, in the daily bar storage unit 6a and the weekly bar. It includes a weekly storage unit 6b that stores the moving average value data calculated based on the data, the weekly closing price change rate data, and the weekly Masuda bar change rate data, respectively.

【0071】

The daily and weekly memory units 6a and weekly memory units 6b contain short-term, medium-term, and long-term stock price moving averages calculated based on daily and weekly stock prices, daily and weekly closing price change rate data, and Masuda bar change. The rate data is stored with the date.

【0072】

This date is the reference date for the calculation. For example, when calculating the short-term moving average value on a daily basis, the day corresponding to the third day (assuming that the day is July 10), the calculation is performed. The stock prices (closing prices) of July 9th and July 8th are required, and in this case, the closing price of 3 days (July 10th, which is the date on which the moving average was calculated) is stored. The closing price change rate and the Masuda bar change rate are stored corresponding to the daily and weekly calculation reference dates, respectively.

【0073】

An example of the stock price information stored in the calculation result storage means 6 is shown in FIG. The daily storage unit 6a stores the stock price moving average information for 450 days, the closing price change rate data for 450 days, and the Masuda bar change rate data. Similarly, the weekly storage unit 6b stores the stock price moving average information for 192 weeks, the closing price change rate data for 192 weeks, and the Masuda bar change rate data, respectively.

【0074】

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

【0075】

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

【0076】

The display device 7a and the printer device 7b, which are the output means 7, are color compatible. For example, in the case of the daily 3-day Masuda bar, the closing price of the stock price on the current day (base date) from the previous day (one before) When the 3-day moving average is high (the elevating value is "rising"), the 3-day Masuda bar is shown in pink. Similarly, when the 3-day moving average of the closing price of the stock price on the day is lower than the previous day, the 3-day Masuda bar is shown in blue. This makes it possible to find out the yin and yang of the stock price at first glance.

【0077】

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

【0078】

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

【0079】

The details of the input process are shown in the flowchart of FIG. As shown in the figure, in short, this input process periodically executes the reception of the stock price on the day and the write process to the cache memory 2c (steps 701 and 702), while among the data written to the cache memory 2c. , The process (steps 703 to 711) of reading out the data related to the stock specified in advance and adding it to the stock price data of the corresponding stock of the stock price storage means 4 is repeated.

【0080】

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

【0081】

In short, the moving average calculation process is necessary to read the stock price data of each stock from the stock price storage means 4 (steps 801,817) and to create the 3-day Masuda foot, the 25-day Masuda foot, and the 75-day Masuda foot based on this (step 801,817). The process of calculating the closing price 3-day moving average, closing price 25-day moving average, and closing price 75-day moving average (step 802) and adding them to the corresponding stock data in the daily storage unit 6a (step 806). In the same way, calculate the closing price 3-week moving average, closing price 13-week moving average, and closing price 26-week moving average required to create 3-week Masuda, 13-week Masuda, and 26-week Masuda (step 809). ), And the process of adding to the corresponding stock data of the weekly storage unit 6b (step 813).

【0082】

As described above, the rate of change calculation process reads the stock price data of each stock from the stock price storage means 4 (steps 801,817) and follows the procedure of the stock price trend prediction program stored in the program storage means 3a on a daily basis. In the same way as the process of calculating the closing price change rate and Masuda bar change rate (step 803) and adding them to the corresponding stock data in the daily storage unit 6a (step 806), the weekly closing price change rate and Masuda bar It includes a process of calculating each rate of change (step 810) and adding it to the corresponding stock data in the weekly storage unit 6b (step 813).

【0083】

The details of the chart creation process are shown in the flowchart of FIG. As shown in the figure, in short, this chart creation process follows the instructions (brand, classification) and the like given by the operator via the keyboard 2a and the like (steps 901,902,903), and the daily storage unit 6a or the weekly storage unit 6a or the weekly storage unit. While reading the moving average value data of the corresponding number of days to weeks from 6b (steps 904,906), based on the read data, create the Masuda foot of the corresponding color according to the Masuda foot creation rule explained above, and this By connecting, the short-term line, medium-term line, and long-term line of daily to weekly bars are drawn (steps 911,912,913).

【0084】

Details of the stock price trend forecasting process are shown in Figures 10 to 18. As is clear from those figures, the stock price trend forecasting process shown in step 605 in Fig. 6 is the process of performing the stock price trend forecasting itself (see FIGS. 10 to 17) and the notification mark on the chart corresponding to the forecast result. It consists of a process to determine (see Fig. 18).

【0085】

Forecasting stock price trends is automatic using the following stock price trend forecasting methods (1) to (3) for each of the short-term, medium-term, and long-term lines of the stock chart (including both daily and weekly). Is done. (1) Forecasting stock price trends on the short-term line is based on the rate of change in Masuda stock at the base time, the rate of change in the closing price at the base time, the ups and downs of one or two or more stock prices at the base time, and at least one of the up and down prices. When the prescribed conditions are satisfied, it is judged that the stock price after the reference time shows a specific trend when viewed from the short-term line of Masuda. (2) Forecast of stock price trends on the medium-term line is that when the rate of change of Masuda foot at the base time and / or the increase / decrease value of Masuda foot at the base time satisfies the prescribed conditions, the stock price after the base time will be Masuda foot. It is judged that it shows a specific trend when viewed from the medium-term line. (3) The forecast of stock price trends on the long-term line is that when the rise / fall value of Masuda foot at the base time satisfies the prescribed conditions, the stock price after the base time shows a specific trend when viewed from the long-term line of Masuda foot. judge.

【0086】

A specific embodiment of the method of predicting the future trend of the stock price as seen from the short-term line of Masuda in the stock price chart will be described in detail with reference to the flowcharts of FIGS. 10 to 15. In addition, in order to facilitate understanding, in the following embodiment, the daily bar will be adopted as the Masuda bar and the reference date will be described as today. In those figures, m is the rate of change in Masuda, r is the rate of change in closing price, H is the upper price of Masuda, and L is the lower price of Masuda. In those figures, "two days ago" indicates the day before the previous day, and "three days ago" indicates the day corresponding to three days before today.

【0087】

However, m: Masuda foot change rate = (the length of Masuda foot at the reference time based on the closing price short-term moving average / the previous closing short-term moving average) r: Closed price change rate = ((Closed price at reference time-1 previous closing price) / 1 previous closing price) The same shall apply in the following description.

【0088】

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

【0089】

In step 1001, when | m | <C1 is false (step 1001NO), in the following step 1002, the comparison calculation process m between the Masuda foot change rate m and the constant C1 and the closing price change rate r and the constant C2. C1 and r <-C2 will be performed. In this example, the constant C2 = 0.015. The same applies to the constant C2. Here, when m C1 and r <-C2 is true (step 1002YES), the trend prediction is determined to be hold (step 1005).

【0090】

In step 1002, when "m C1 and r <-C2" is false (step 1002NO), in the following step 1003, the comparison calculation process of Masuda foot change rate m and constant C1 and closing price change rate and constant C2 " m <-C1 and r> C2 is performed. Here, when "m <-C1 and r> C2" is true (step 1003YES), the trend prediction is determined to be "hold" (step 1005).

【0091】

In step 1003, when "m <-C1 and r> C2" is false, the filtering process (step 1004) described in detail later is performed.

【0092】

An outline of the filtering process (step 1004) is shown in the flowchart of FIG.

【0093】

As shown in the figure, in the filtering process, first, today's increase / decrease value is increased based on today's increase / decrease value of Masuda foot (hereinafter, simply referred to as "today's increase / decrease value") of the read data. It is roughly divided into two types: certain data (step 1101YES) and data in which today's ascending / descending value is descending (step 1101NO).

【0094】

Here, the "elevation value" is calculated by comparing the moving average value of the corresponding day stored in the daily storage unit 6a with the previous moving average value. When the moving average value of the corresponding day is larger than the previous moving average value, it is judged to be rising, and when it is smaller, it is judged to be falling. When the moving average value of the corresponding day and the moving average value of the previous day are equal, in the present embodiment, the raising / lowering value of the previous Masuda foot is adopted as the raising / lowering value of the previous day. The "elevation value" is calculated in the same manner in the following embodiments.

【0095】

Among the data in which the ascending / descending value of today is increasing, the data in which the ascending / descending value of the previous day is decreasing is filtered in step 1102 based on various steps described later. On the other hand, the data in which the increase / decrease value of today is an increase and the increase / decrease value of the previous day is an increase is filtered in the following step 1103 based on various steps described later.

【0096】

Among the data in which the ascending / descending value of today is decreasing, the data in which the ascending / descending value of the previous day is increasing is filtered in step 1104 based on various steps described later. On the other hand, the data in which the ascending / descending value of today is decreasing and the ascending / descending value of the previous day is decreasing is filtered in the following step 1105 based on various steps described later.

【0097】

The flow chart of FIG. 12 shows the details of the filtering process (FIG. 11, step 1102) for the data in which the ascending / descending value of today is rising and the rising / falling value of the previous day is decreasing.

【0098】

When the processing is started, first, the comparison calculation process "today's Masuda bar's top price the previous day's Masuda bar's top price" is performed (step 1201).

【0099】

Here, as for the "upper price" of Masuda bar, when the ascending / descending value of the corresponding Masuda bar is rising, the moving average value of the corresponding day stored in the daily bar storage unit 6a is read out, and the ascending / descending value is also read. If it is falling, the moving average value of the day before the corresponding day is read out. The "upper price" is read out from the daily storage unit 6a in the same manner in the following embodiment.

【0100】

In step 1201, when "today's upper price of Masuda foot previous day's upper price of Masuda foot" is true (step 1201 YES), the trend forecast is determined to be "hold" (step 1202).

【0101】

When "Today's upper price of Masuda foot previous day's upper price of Masuda foot" is false (step 1201NO), in the following step 1203, today's upper price of Masuda foot and the upper price of Masuda foot two days before (two days ago) The comparison calculation process with and "Today's upper price of Masuda foot 2nd previous upper price of Masuda foot" is performed. Here, when "Today's upper price of Masuda foot 2nd previous upper price of Masuda foot" is true (step 1203YES), in the following step 1204, the closing price change rate r and constant C5 and the Masuda foot change rate m and constant Comparison operation processing with C6 "r> C5 and m> C6" is performed. In this example, the constant C5 = 0.025 and the constant C6 = 0.025. The same applies to the constants C5 and C6. Here, when "r> C5 and m> C6" is true (step 1204YES), the trend forecast is judged to be "strong increase" (step 1206), and "r> C5 and m> C6" is false. Occasionally (step 1204NO), it is determined to be raised (step 1205).

【0102】

In step 1203, when "Today's upper price of Masuda foot 2nd previous Masuda foot upper price" is false (step 1203NO), in the following step 1207, today's Masuda foot upper price and the day before (two days ago) ) Compared with the upper price of Masuda bar "Today's upper price of Masuda bar <Two previous upper price of Masuda bar" is performed. Here, when "today's upper price of Masuda foot <upper price of Masuda foot two before" is true (step 1207YES), in the following step 1208, the closing price change rate r and constant C5 and the Masuda foot change rate m and constant Comparison operation processing with C6 "r <C5 and m <C6" is performed. Here, when "r <C5 and m <C6" is true (step 1208YES), the trend prediction is determined to be "hold" (step 1210), and when "r <C5 and m <C6" is false. (Step 1208NO), it is determined to be raised (step 1209).

【0103】

In step 1207, when "today's upper price of Masuda foot <upper price of Masuda foot two before" is false (step 1207NO), the process proceeds to the filtering process shown in step 1103 of FIG.

【0104】

The flow chart of FIG. 13 shows the details of the filtering process (FIG. 11, step 1103) for the data in which today's elevation value is rising and the previous day's elevation value is rising.

【0105】

When the processing is started, first, the comparison calculation processing between today's Masuda bar's top price and the previous day's (two days ago) Masuda bar's top price "Today's Masuda bar top price two previous Masuda bar top price ] Is performed (step 1301). Here, when "today's upper price of Masuda foot the upper price of Masuda foot two years ago" is true (step 1301YES), the trend forecast is determined to be "hold" (step 1302).

【0106】

When "Today's upper price of Masuda foot 2nd previous Masuda foot upper price" is false (step 1301NO), in the following step 1303, today's Masuda foot upper price and Masuda 3 days before today (3 days before) Comparison operation with the upper price of the bar "Today's upper price of Masuda bar> 3rd previous upper price of Masuda bar" is performed. Here, when "Today's upper price of Masuda foot> 3 previous upper price of Masuda foot" is true (step 1303YES), in the following step 1304, the closing price change rate r and constant C5 and the Masuda foot change rate m and constant Comparison operation processing with C6 "r> C5 and m> C6" is performed. Here, when "r> C5 and m> C6" is true (step 1304YES), the trend forecast is judged to be "strong increase" (step 1306), and "r> C5 and m> C6" is false. Occasionally (step 1304 NO), the trend forecast is determined to be up (step 1305).

【0107】

In step 1303, when "Today's upper price of Masuda foot> 3 previous upper price of Masuda foot" is false (step 1303NO, step 1307YES), in the following step 1308, the closing price change rate r and the constant C5 and the Masuda foot change The comparison operation process "r <C5 and m <C6" between the rate m and the constant C6 is performed. Here, when "r <C5 and m <C6" is true (step 1308YES), the trend prediction is determined to be "hold" (step 1310), and when "r <C5 and m <C6" is false. (Step 1308NO), it is determined to be raised (step 1309).

【0108】

Next, the flow chart of FIG. 14 shows the details of the filtering process (FIG. 11, step 1104) for the data in which today's increase / decrease value is decreasing and the previous day's increase / decrease value is increasing.

【0109】

When the processing is started, first, the comparison calculation process of today's Masuda bar's lower price and the previous day's Masuda bar's lower price "today's Masuda bar lower price the previous day's Masuda bar lower price" is performed (step 1401).

【0110】

Here, as for the "lower price" of the Masuda bar, when the ascending / descending value of the corresponding Masuda bar is descending, the moving average value of the corresponding day stored in the daily bar storage unit 6a is read out, and the ascending / descending value is If it is rising, the moving average value of the day before the corresponding day is read out. The "lower price" is read out from the daily storage unit 6a in the same manner in the following embodiment.

【0111】

In step 1401, when "today's lower price of Masuda foot previous day's lower price of Masuda foot" is true (step 1401YES), the trend forecast is determined to be "hold" (step 1402).

【0112】

When "Today's lower price of Masuda foot previous day's lower price of Masuda foot" is false (step 1401NO), in the following step 1403, today's lower price of Masuda foot and the lower price of Masuda foot two days before (two days ago) The comparison calculation process with and "Today's lower price of Masuda foot 2nd previous lower price of Masuda foot" is performed. Here, when "Today's lower price of Masuda foot 2nd lower price of Masuda foot" is true (step 1403YES), in the following step 1404, the closing price change rate r and constant C5 and the Masuda foot change rate m and constant. Comparison operation processing with C6 "r> -C5 and m> -C6" is performed. Here, when "r> -C5 and m> -C6" is true (step 1404YES), the trend prediction is determined to be "hold" (step 1406), and "r> -C5 and m> -C6" is If false (step 1404NO), it is determined to be down (step 1405).

【0113】

In step 1403, when "Today's lower price of Masuda foot 2nd lower price of Masuda foot" is false (step 1403NO), in the following step 1407, today's lower price of Masuda foot and 2nd previous Masuda foot's lower price Comparison operation processing with the lower price "Today's lower price of Masuda bar <Two previous lower price of Masuda bar" is performed. Here, when "the lower price of today's Masuda foot <the lower price of the previous Masuda foot" is true (step 1407YES), in the following step 1408, the closing price change rate r and the constant C5 and the Masuda foot change rate m and the constant. Comparison operation processing with C6 "r <-C5 and m <-C6" is performed. Here, when "r <-C5 and m <-C6" is true (step 1408YES), the trend forecast is judged to be "strongly lowered" (step 1410), and "r <-C5 and m <-C6". When is false (step 1408 NO), it is determined to be down (step 1409).

【0114】

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

【0115】

The flow chart of FIG. 15 shows the details of the filtering process (FIG. 11, step 1105) for the data in which today's rise / fall value is down and the previous day's up / down value is down.

【0116】

When the processing is started, first, the comparison calculation processing between today's lower price of Masuda foot and the lower price of Masuda foot two days ago (two days ago) "Today's lower price of Masuda foot the lower price of Masuda foot two days ago ] Is performed (step 1501). Here, when "Today's lower price of Masuda foot 2 lower price of Masuda foot" is true (step 1501YES), the trend forecast is judged to be "hold" (step 1502).

【0117】

When "Today's lower price of Masuda foot 2 lower price of Masuda foot" is false (step 1501NO), in the following step 1503, today's lower price of Masuda foot and Masuda 3 days before today (3 days before) The comparison calculation process with the lower price of the bar "Today's lower price of Masuda bar <3rd previous lower price of Masuda bar" is performed. Here, when "today's lower price of Masuda foot <three previous lower price of Masuda foot" is true (step 1503YES), in the following step 1504, the closing price change rate r and constant C5 and the Masuda foot change rate m and constant Comparison operation processing with C6 "r <-C5 and m <-C6" is performed. Here, when "r <-C5 and m <-C6" is true (step 1504YES), the trend forecast is judged to be "strong decrease" (step 1506), and "r <-C5 and m <-C6". When is false (step 1504NO), it is determined to be down (step 1505).

【0118】

In step 1503, when "today's lower price of Masuda foot <three previous lower price of Masuda foot" is false (step 1503NO, step 1507YES), in the following step 1508, the closing price change rate r and the constant C5 and the Masuda foot change The comparison operation process "r> -C5 and m> -C6" between the rate m and the constant C6 is performed. Here, when "r> -C5 and m> -C6" is true (step 1508YES), the trend forecast is determined to be "hold" (step 1510), and "r> -C5 and m> -C6" is When false (step 1508NO), it is determined to be down (step 1509).

【0119】

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

【0120】

In step 1601, when "| m | C3" is false (step 1601NO), in the following step 1603, it is determined whether or not the ascending / descending value of today's Masuda foot is rising.

【0121】

When today's ascending / descending value is descending (step 1603NO), in the following step 1604, the comparison calculation process | m | C4 between the Masuda foot change rate m and the constant C4 is performed. In this example, the constant C4 = 0.025. The same applies to the constant C4. Here, when "| m | C4" is true (step 1604YES), the trend prediction is determined to be "strong decrease" (step 1606), and when "| m | C4" is false (step 1604NO). ), It is determined to be "lowered" (step 1606).

【0122】

In step 1603, when today's ascending / descending value is rising (step 1603YES), in the following step 1607, the comparison calculation process m C4 between the Masuda foot change rate m and the constant C4 is performed. Here, when "m C4" is true (step 1607YES), the trend prediction is "strong increase" (step 1609), and when "m C4" is false (step 1607NO), "increase". Is determined (step 1608).

【0123】

A specific embodiment of the method of predicting the future trend of the stock price as seen from the long-term line of Masuda in the stock price chart will be described in detail with reference to the flowchart of FIG. In the figure, when the process is started, in step 1701, it is determined whether or not the ascending / descending value of today's Masuda foot is increasing.

【0124】

When today's rise / fall value is down (step 1701NO), the trend forecast is judged to be "down" (step 1702), and when today's up / down value is up (step 1701YES), it is judged to be "up" (step 1701YES). Step 1703).

【0125】

A specific embodiment of the method of determining the stock price trend notification mark based on the stock price trend forecast result will be described in detail with reference to the flowchart of FIG. In the figure, when the process is started, first, the data of the designated brand is read from the calculation result storage unit 6 (step 1801), and then, based on the read data, the above-mentioned various forms are described. The stock price trend forecast processing is performed through the steps (step 1802).

【0126】

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

【0127】

When the trend forecast is determined to be "raised" (step 1805), one isosceles triangle with an upward apex is displayed and colored pink as a mark indicating "raised" (step 1805). 1806).

【0128】

When the trend forecast is determined to be "strongly lowered" (step 1811), two isosceles triangles with downward vertices are displayed side by side and colored blue as a mark indicating "strongly lowered". Is done (step 1812).

【0129】

When the trend forecast is determined to be "down" (step 1809), a "down" mark is displayed, in this example an isosceles triangle with a downward apex is displayed and colored blue. (Step 1810).

【0130】

When the trend forecast is determined to be "hold" (step 1807), two isosceles triangles are displayed in the vertical direction as marks indicating "hold" (step 1808). At this time, the isosceles triangle located above has an upward apex and is colored pink. The isosceles triangle located below has vertices pointing downwards and is colored blue.

【0131】

In this way, an example of the Masuda stock price chart displayed on the display device 7a constituting the output means 7 is shown in FIG. In this example, the short-term line, medium-term line, and long-term line are included in one stock price chart, and you can see the stock price trends of specific stocks. In the figure, 8a is the daily short-term line drawn by connecting the 3-day bar, 8b is the daily mid-term line drawn by connecting the 25-day bar, and 8c is drawn by connecting the 75-day bar. It is a daily long-term line. The display bar 9 extending in a horizontal row at the top of the screen is divided into three areas, a short-term display area 9a, a medium-term display area 9b, and a long-term display area 9c, in this order from the right. In each area, the notification marks M1 to M3 corresponding to the results of the stock price trend forecast from the Masuda foot short-term line, the stock price trend forecast from the Masuda foot medium-term line, and the stock price trend forecast from the Masuda foot long-term line, respectively. Is attached. In addition, the display bar 10 located above the display bar 9 displays various stock price information of today's closing price, low price, high price, and opening price together with the stock name of the corresponding stock. Therefore, according to the Masuda foot chart with the new stock price trend notification mark, even a beginner who is unfamiliar with stock trading can easily and accurately know when to sell or buy stocks.

【0132】

Details of the printing process are shown in detail in the flowchart of FIG. As shown in the figure, in short, this printing process follows the instructions (brand, classification), etc. given by the operator via the keyboard 2a, etc. (step 2001, 2002, 2003), and the daily storage unit 6a or weekly. While reading the moving average value data of the corresponding number of days to weeks from the foot storage unit 6b (steps 2004, 2006), based on the read data, according to the Masuda foot creation rule explained above, the Masuda foot of the corresponding color. By creating and connecting these, short-term lines, medium-term lines, and long-term lines of daily to weekly bars are drawn on the print buffer (steps 2011, 2012, 2013), and this is finally printed out from the printer. (Step 2019). Since the content of this arithmetic processing has already been disclosed in detail in Japanese Patent Application Laid-Open No. 11-66154, duplicate description here will be avoided.

【0133】

Next, the stock price chart display system of 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, medium-term forecast, and long-term forecast are displayed. Can also be displayed.

【0134】

A specific aspect of the display is shown in FIG. In this example, the daily bar is used for the Masuda bar. As shown in the figure, in the stock price chart display system of the present embodiment, four translationally movable cursor lines C1 to C4 are displayed on the chart for convenience of the operator's own prediction of the stock price. In this example, the cursor line C1 indicates the reference time point and is displayed on the display position P1. In addition, various stock price data (stock name, opening price, high price, low price, closing price) at the base time are displayed on the base time display bar 11 together with the date.

【0135】

The cursor line C2 indicates the short-term starting time, the cursor line C3 indicates the medium-term starting time, and the cursor line C4 indicates the long-term starting time, which are displayed on the display positions P2 to P4, respectively. The display bar 12 located below the display bar 11 is divided into three areas in order from the right: a short-term starting time display area 12a, a medium-term starting time display area 12b, and a long-term starting time display area 12c. In each area, the stock price trend forecast notification marks M1 to M3 at the reference time are displayed together with the date and closing price at each starting time. M1 is the trend prediction notification mark seen from the short-term line of Masuda foot at the reference time, M2 is the trend prediction notification mark seen from the medium-term line of Masuda foot at the reference time, and M3 is the trend prediction notification mark seen from the long-term line of Masuda foot at the reference time. The trend forecast notification marks are shown respectively.

【0136】

FIG. 22 shows a flowchart of processing for realizing such a display system.

【0137】

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

【0138】

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 the Masuda foot on the chart screen. Also, in this example, 3 days before the reference time (for example, if the date of the reference time is April 10, April 8 corresponds to this) is the short-term starting point, and 25 days before is the medium term. At the time of starting, 75 days ago is fixed at the time of long-term starting. Therefore, the movement of the cursor lines C1 to C4 is translated while the four cursor lines C1 to C4 are kept at a constant interval.

【0139】

In the following step 2203, various data groups D1 of the corresponding day indicated by the cursor lines C1 to C4.₁~ D1₄, D2, D3, D4 are read. In this example, data group D1 as shown in Figure 23.₁~ D1₄Shows the opening price, high price, low price, and closing price of the relevant stock at the reference time, and the data D2, D3, and D4 show the closing price data of the relevant stock at each starting time. , Read from stock price storage means 4.

【0140】

Data D1 read in step 2203₁~ D1₄, D2, D3, D4 are displayed numerically in the corresponding display areas 11, 12a to 12c on the display screen (step 2204).

【0141】

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

【0142】

Next, the short-term line by the 3-day Masuda foot, the medium-term line by the 25-day Masuda foot, and the short-term, medium-term, and long-term lines that connect the 75-day Masuda foot are displayed on the chart (step 2206).

【0143】

In the following step 2207, it is determined whether or not there is a cursor movement operation. This cursor movement operation is performed, for example, by an operator's keyboard operation or the like. Here, when the cursor movement operation is confirmed (step 2207 YES), the display positions P1 to P4 of the four cursors C1 to C4 are changed according to the operation. Next, the processes of steps 2202 to 2206 are performed, and the presence or absence of the cursor movement operation is determined again (step 2207).

【0144】

That is, in the present embodiment, since the cursor lines C1 to C4 can be translated in parallel in response to the operator's keyboard operation, the cursor lines C1 to C4 can be translated, so that the cursor lines C1 to C4 can be translated, and therefore, the short-term calculation time, the medium-term calculation time, and the long-term calculation up to the reference time are performed. It is possible to point to Masuda's foot on the day corresponding to the time point with the cursors C1 to C4 at the same time.

【0145】

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

【0146】

In the stock price chart display system of the present embodiment, the operator can easily predict the stock price by using the various additional information described above. The method of forecasting stock price trends on a daily basis using this display system will be described below.

【0147】

First of all, set the reference time point (cursor line C1) to today. At this time, the reference time 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 set 3 days before the reference point, the cursor line C3 is automatically set 25 days before the reference point, and the cursor line C4 is automatically set 75 days before the reference point. It can be adjusted to. In addition, in the display areas 12a to 12c, stock price trend notification marks viewed from each of the short-term, medium-term, and long-term Masuda legs at the reference time are displayed.

【0148】

Next, tomorrow's closing price (let's call it A) is predicted by referring to today's opening price, high price, low price, and closing price shown in the reference time display bar 11, and the short-term calculation shown in this closing price A and the short-term display area 12a. Compare with the closing price (referred to as B) corresponding to the time point (3 days before the reference time point). The reason for comparing with the closing price 3 days ago is that the Masuda foot short-term line is formed based on the moving average value of 3 days including the reference time. In other words, when predicting stock price trends from the mid-term line of Masuda, compare A with the closing price 25 days ago shown in 12b. In addition, when predicting stock price trends from the long-term line of Masuda, compare A with the closing price 75 days ago shown in 12c.

【0149】

Here, if A> B, we predict that tomorrow's Masuda foot will be pink, which indicates an increase. Further, it is also possible to improve the accuracy of the forecast by adding the stock price trend forecast notification mark shown on the display bar 12.

【0150】

If the above comparison result is A B, it is predicted that tomorrow's Masuda foot will be blue, which indicates a decline. Similarly, the stock price trend forecast notification mark shown on the display bar 12 is added to improve the forecast accuracy.

【0151】

The stock price trend forecast in the stock price chart system described above is an example for preferably using the stock price chart display system of the present embodiment, and it goes without saying that how to use the above-mentioned additional information and the like is a user. It is entrusted to.

【0152】

In the above embodiment, when creating a stock price chart, the daily calculation is 3 days for the short term, 25 days for the medium term, and 75 days for the long term, and the weekly calculation is 3 weeks for the short term and the medium term. The closing price moving average was calculated with 13 weeks as the long term and 26 weeks as the long term.The same number and the number of weeks are used, for example, 4 or 5 days for the short term and 24 days or 24 days for the medium term when performing daily calculation. It may be calculated 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 it is close to the above-mentioned number of days and weeks.

【0153】

[Effect of the invention]

As is clear from the above explanation, according to the stock price chart of the present invention, the daily chart is created based on the daily closing price average value data, and the weekly stock price chart is created based on the weekly closing price average value data. In the case of the weekly chart, 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.

【0154】

In addition to the fact that the upper and lower ends are always connected between adjacent feet, the envelope connecting the upper and lower ends of the feet is equivalent to the moving average line, so a smooth curve appears as a whole. It is easy to visually grasp the time-series trends of stock prices.

【0155】

In addition, since the length and color of each foot reflect the accumulation of ascending / descending energy for the number of sample days or the number of sample weeks, the future trend of the stock price can be grasped relatively easily based on them.

【0156】

Furthermore, even if the moving averages before and after the phase are the same, the current day is displayed as a straight line parallel to the time axis and in the same color as the previous day, so it is possible to avoid breaks in the legs and change points in stock price trends. Don't misunderstand.

【0157】

In addition, if the curves created from the short-term, medium-term, and long-term perspectives are displayed at the same time, the stock price trend forecast will be more accurate from the interrelationship (entanglement) of the short-term, medium-term, and long-term lines. It becomes possible to do.

【0158】

Therefore, according to the stock price chart of the present invention, even a beginner of stock trading can easily predict the future trend of any stock with a certain degree of certainty, and moreover, the stock price can be easily changed over time. It can be easily read from the arrangement of the legs.

[Simple explanation of drawings]

[Figure 1]

It is a block diagram which shows the structure of the stock price chart creation system.

[Figure 2]

It is a figure which shows an example of stock price information.

[Fig. 3]

It is a figure which shows a concrete example of a 3-day moving average value.

[Fig. 4]

It is a figure which shows an example of Masuda foot (daily short-term line).

[Fig. 5]

It is a figure which shows an example of the stock price information stored in the arithmetic storage means.

[Fig. 6]

It is a general flowchart which shows the structure of a computer program.

[Fig. 7]

It is a flowchart which shows the detail of an input process.

[Fig. 8]

It is a flowchart which shows the detail of the arithmetic processing.

[Fig. 9]

It is a flowchart which shows the detail of the chart creation process.

[Fig. 10]

It is a flowchart which shows the short-term stock price trend forecast processing.

[Fig. 11]

It is a flowchart which shows the outline of the filtering process.

[Fig. 12]

It is a detailed flowchart which shows the filter processing in the short-term stock price trend forecast processing.

[Fig. 13]

It is a detailed flowchart (No. 2) showing the filtering process in the short-term stock price trend forecasting process.

[Fig. 14]

It is a detailed flowchart (No. 3) showing the filtering process in the short-term stock price trend forecasting process.

[Fig. 15]

It is a detailed flowchart (No. 4) showing the filtering process in the short-term stock price trend forecasting process.

[Fig. 16]

It is a flowchart which shows the medium-term stock price trend forecast processing.

[Fig. 17]

It is a flowchart which shows the long-term stock price trend forecast processing.

[Fig. 18]

It is a flowchart which shows the stock price trend forecast notification mark determination processing.

[Fig. 19]

It is a figure which shows an example of the Masuda foot stock price chart.

[Fig. 20]

It is a figure which shows the detail of a print process.

[Fig. 21]

It is a figure which shows one display example of the stock price chart display system.

[Fig. 22]

It is a flowchart which shows the processing of the stock price chart display system.

[Fig. 23]

It is a figure for demonstrating various data contents shown in FIG. 22.

[Explanation of symbols]

1 Stock chart creation system 2 Input means 3 Processing means 4 Stock price storage means 5 Computational means 6 Calculation result storage means 7 Output means 8a Daily short-term line 8b Mid-day line 8c daily long-term line 9,10,11,12 Display bar 9a Short-term forecast display area 9b Mid-term preliminary display area 9c Long-term forecast display area 12a Short-term starting point display area 12b Medium-term starting point display area 12c Long-term starting point display area