JP2018022299A - Financial product trading support device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To objectively or logically display a buy or sell signal in consideration of a fluctuation pattern of price of a financial product.SOLUTION: A financial product trading support device comprises: a price data acquisition unit for acquiring closing price of a financial product and the date of the closing price; an index calculation unit for calculating an index including a moving average line, a polygonal line connecting closing price of price which has fluctuated at a predetermined increase rate or decrease rate, a rank correlation coefficient line and a bar using moving average; a condition determination unit for determining whether the rank correlation coefficient line based on rank correlation coefficient and a tipping point of price trends based on the bar satisfy predetermined conditions respectively; and a display unit for displaying the index on a chart associated with the date and, in the case where the condition determination unit determines to satisfy the conditions, displaying a signal accelerating trading of the financial product in association with specific date in the chart.SELECTED DRAWING: Figure 11

Description

  The present invention relates to a financial product trading support apparatus and program.

  Some stock charts are used when buying and selling stocks and other financial products. Candlesticks, key bars, top bars, new price bars, etc. are known, among which candlestick stock charts using candlesticks are famous. In addition, as a technical index, a moving average line, MACD (Moving Average Convergence Divergence), Bollinger band, stochastic, RSI (Relative Strength Index), RCI (Rank Correlation Index), a glance balance table, etc. are well known.

  For candlesticks, the four stock price indicators are represented simultaneously, so it is perfect for stock price trend analysis, but on the other hand, each foot is likely to be complex and subject to significant changes, It has been pointed out that there is no continuity between adjacent feet, so it is difficult for beginners to see and easy to be confused by the change.

  In addition, a trading support device and a trading signal display device have been proposed that provide a stock trading support system in which “buy”, “sell”, or “buying and selling signal mark” is displayed on a stock price chart. For example, Patent Document 1 discloses a system in which “at the time of purchase” and “at the time of sale” are automatically displayed by a method of drawing a trend line on a key chart and a candle chart. Patent Document 2 also discloses a system that automatically displays a “trading signal mark” using the technical analysis MACD and Bollinger band logic.

Japanese Patent No. 4247186 Japanese Patent No. 5306636

  However, in the conventional trading judgment system, it is difficult to set trading rules that recognize the stock price fluctuation pattern because only one point on the day is seen and a trading signal or sign is issued. Further, the logic of the buying / selling sign and signal is made into a black box, and it has not been possible to judge whether or not the judgment of the buying and selling system is appropriate. Further, for example, an abstract trading rule such as “buy when it turns up” is not useful because it is not defined what “turned up”.

  In the first aspect of the present invention, the financial product buying and selling support apparatus acquires the closing price and closing price date of the financial product in association with the identification information for identifying the brand of the financial product, and stores it in the price database. A price data acquisition unit, a price database, a plurality of moving average lines of closing prices for a predetermined number of days, a broken line connecting closing prices whose prices have fluctuated at a predetermined rising rate or falling rate, We calculate multiple rank correlation coefficients for the closing price for the number of days, and a moving average of the closing price for a predetermined number of days, an index that includes a bar using the high and low prices, a lag line, and a leading line. An index calculation unit associated with the index storage unit, a rank correlation coefficient line based on the rank correlation coefficient for a specific date of the financial product identified by the identification information, A condition determination unit that determines whether or not each price trend turning point based on a predetermined condition satisfies a predetermined condition with reference to an index stored in the index storage unit, and a chart in which the index is associated with a date are displayed. In addition, a display unit that displays a signal that prompts buying and selling of financial products in association with a specific date in the chart when the condition determining unit determines that the condition is satisfied.

  In the second aspect of the present invention, the financial product buying and selling support apparatus acquires the closing price and closing price date of the financial product in association with the identification information for identifying the brand of the financial product, and stores it in the price database. The price data acquisition unit, the price database, the moving average line of the closing price for a predetermined number of days, the broken line connecting the closing price at which the price fluctuated at a predetermined rising rate or falling rate, the predetermined number of days An index calculation unit that calculates a rank-related correlation coefficient of the closing price and an index including a bar using a moving average of the closing price for a predetermined number of days, and stores the index information in association with the identification information and the date in the index storage unit; Long-term wave based on moving average or rank correlation coefficient, medium-term wave based on broken line, rank correlation coefficient for specific date of financial product identified by identification information A condition determination unit that determines whether or not a price trend turning point based on a periodical wave and a foot meets a predetermined condition with reference to an index stored in the index storage unit, a long-term wave, and a medium-term A display unit that displays the determination result by the condition determination unit as to whether the wave, the short-term wave, and the price trend turning point satisfy the corresponding condition, in association with a specific date.

  According to a third aspect of the present invention, there is provided a computer program that obtains the closing price and closing date of a financial product in association with identification information for identifying a brand of the financial product, and stores the price in a price database. Refer to the price data acquisition procedure to be stored, the price database, multiple moving average lines of closing prices for a predetermined number of days, a broken line connecting closing prices whose prices have fluctuated at a predetermined rate of increase or decrease, and predetermined Calculates multiple rank correlation coefficients for the closing price for a given number of days, and a moving average of the closing price for a predetermined number of days, an index including a bar using a high and low price, a lag line, and a leading line, and identification information and date The index calculation procedure stored in the index storage unit in association with the index information, and the order based on the rank correlation coefficient for the specific date of the financial product identified by the identification information A condition determination procedure for determining whether or not the correlation coefficient line and the stock price trend turning point based on the foot satisfy a predetermined condition with reference to the index stored in the index storage unit, and the index Displaying a chart associated with a date, and executing a display procedure for displaying a signal prompting to buy or sell a financial product in association with a specific date in the chart when it is determined by the condition determining procedure that the condition is satisfied .

  According to a fourth aspect of the present invention, there is provided a computer program that obtains the closing price and closing price date of a financial product in association with identification information for identifying a brand of the financial product, and stores the price in a price database. The price data acquisition procedure to be stored, the price database, the closing price moving average line for a predetermined number of days, the broken line connecting the closing price at which the price fluctuated at a predetermined rising rate or falling rate, predetermined An index calculation procedure for calculating an index including a bar using a rank correlation coefficient of a closing price in days and a moving average of closing prices in a predetermined number of days, and storing the index in association with identification information and a date in an index storage unit; , Long-term wave based on moving average or rank correlation coefficient, medium-term wave based on broken line, for specific date of financial product identified by identification information A condition judgment procedure for judging whether or not the short-term wave based on the rank correlation coefficient and the wave turning point based on the foot satisfy a predetermined condition with reference to the index stored in the index storage unit And a display procedure for displaying the determination result by the condition determination procedure as to whether or not the long-term wave, the medium-term wave, the short-term wave and the wave turning point satisfy the corresponding conditions, in association with a specific date.

  The above summary of the present invention does not enumerate all of the features of the present invention. A sub-combination of these feature groups can also be an invention.

  The time series data prediction and comprehensive trading judgment support device for market transactions according to the present invention inputs time series data of market transactions, logically processes the input time series data, and outputs these as charts and logic boards. Thus, the output chart and logic board can determine the transaction determination material more logically instead of the user's discretion, and can support the user's trade. So, buy, sell, wait (e.g. wait for the next selling opportunity on the ceiling that has sustained a higher or lower index without selling the stock you bought, or make a new buy Do not postpone and wait for the next buying opportunity at the bottom price 安 with a low or rising indicator below, or consider other more advantageous stocks, etc.) However, logically, it can be easily and easily performed on the chart based on a statistical basis, and the final decision factors for individual time series data are only buying, selling and waiting. In addition, short selling, which is said to be performed only by professionals, can be performed in the same way.

1 shows an outline of a stock trading support system 10. It is a figure which shows the hardware constitutions of the stock trading support apparatus. It is a figure which shows the functional block of the stock trading support apparatus. An example of price information stored in the price DB 110 is shown. An example of the index stored in the index storage unit 170 is shown. An example of the index stored in the index storage unit 170 is shown. It is a figure explaining the "leg" using the exponential moving average of the closing price in the predetermined number of days N. It is a figure explaining the "leg" using the exponential moving average of the closing price in the predetermined number of days N. (A) is an example of UTP, and (b) is an example of DTP. It is a graph which shows the correlation with the turning point of a wave average leg, and RCI. It is a graph which shows the correlation with the turning point of a wave average leg, and RCI. It is an example of the display screen 200 which the display part 104 displays. 4 is an enlarged view of a trading judgment stock price chart 300. FIG. 3 is an enlarged view of a logic matrix board 400. FIG. It is an enlarged view of other trading judgment stock price chart 300. FIG. 10 is an enlarged view of yet another trading judgment stock price chart 300. FIG. 10 is an enlarged view of yet another trading judgment stock price chart 300. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen. It is an example of a display screen.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.

  An object of the present embodiment is to provide a financial product buying and selling support apparatus that recognizes a fluctuation pattern of a price of a financial product and displays a buy or sell signal objectively and logically. In the embodiment, stocks will be described as an example of financial products, but other financial products such as bonds may be used.

  FIG. 1 shows an outline of a stock trading support system 10. The stock trading support system 10 includes a comprehensive trading judgment support device 20, a user terminal as an example of the stock trading support device 100, a stock price information providing server 40, and a backup server 30, which are connected to each other via a network 50. ing.

  The general sales decision support device 20 includes a DB (database) server 22 and a WEB server 24. The WEB server 24 provides a site that provides stock trading information to a user terminal. This site includes a page for downloading a software program that causes the terminal to function as the stock trading support device 100, and a page for providing information related to stock trading and know-how related to the system to the user.

  The DB server 22 stores stock information provided from the stock price information providing server 40. The stored stock information is sent to the stock trading support device 100 via the WEB server 24.

  The backup server 30 has a role of providing stock information to the stock trading support device 100 when the stock information cannot be sent from the stock price information providing server 40 for some reason. In the present embodiment, the backup server 30 is described as an example. However, the present invention is not limited to this as long as it can provide stock information.

  The stock price information providing server 40 is a server that manages stock information of the stock trading market. In the present embodiment, the stock price information providing server 40 provides stock information to the general trading judgment support device 20 and the backup server 30. The stock price information providing server 40 is, for example, a server computer of the Tokyo Stock Exchange.

  The user terminal is a PC, for example, and functions as the stock trading support device 100 by downloading a software program from the WEB server 24 of the general trading judgment support device 20. The stock trading support device 100 may be a dedicated machine instead of a general-purpose PC.

  FIG. 2 is a diagram illustrating a hardware configuration of the stock trading support device 100. The stock trading support apparatus 100 includes a bus 101, a CPU 102 connected to the bus 101, a communication control unit 103, a memory 104, an input unit 105, a storage unit 106, and a display unit 107.

  The CPU 102, in cooperation with the software program stored in the storage unit 106, controls the entire stock trading support apparatus 100 in addition to performing processing for displaying a trading judgment stock price chart and a trading judgment logic board, which will be described later.

  The communication control unit 103 is, for example, a modem, a terminal adapter, or a router, and communicates with an external device via the network 50. Specifically, the communication control unit 103 receives stock information from the general trading judgment support device 20 or the backup server 30, downloads a program from the total trading judgment support device 20, and the like.

  The display unit 107 displays a trading decision stock price chart and a logic matrix board (hereinafter also referred to as a logic board). The display unit 107 is, for example, an LCD (liquid crystal display), a PDP (plasma display), or the like.

  The memory 104 is used as a work area or the like required when executing various processes. That is, in various processes executed by the CPU 102, a storage area for temporarily storing programs, data, and the like, a work area processed by an input instruction and input data, and the like are formed.

  The storage unit 106 stores programs and data required for various processes, and includes a magnetic, optical recording medium, or a recording medium readable by the CPU 102 such as a semiconductor memory. The recording medium includes a portable storage medium such as a USB, a CD-ROM, and a memory card, and a fixed medium such as a hard disk. The program, data, and the like stored in the storage unit 106 may be configured to receive a part or all of the program, data, and the like from another server or the like from the communication control unit 103 via a network such as WAN or LAN. The medium may be a recording medium of an external server constructed on a network.

  The input unit 105 is an interface that receives input from the user. The input unit 105 is, for example, a keyboard, a mouse, or a touch panel.

  FIG. 3 is a diagram showing functional blocks of the stock trading support device 100. In FIG. 3, functional blocks corresponding to the hardware in FIG.

  The stock trading support apparatus 100 includes a price data acquisition unit 120, an index calculation unit 130, and a condition determination unit 140 as functional blocks in addition to the input unit 105 and the display unit 107 described above. The storage unit 106 includes a registration DB 180, a price DB 110, an index storage unit 170, and a condition storage unit 160.

  The registration DB 180 includes user information, an ID for using the stock trading support device 100, a password, information for accessing the general trading judgment support device 20, information such as stock code of the stock that the user is interested in, etc. Is stored.

  The price data acquisition unit 120 acquires price information including at least the closing price and the closing price date of the stock from the general trading judgment support device 20 in association with the stock code that is identification information for identifying the stock stock, Store in the price DB 110. The timing at which the price data acquisition unit 120 acquires price information may be the time point instructed by the user via the input unit 105, or may be acquired automatically at regular intervals. In this case, the price data acquisition unit 120 may acquire price information of the brand identified by the brand code stored in the registration DB 180, or accept the designation of the brand from the user and receive the price of the brand received. Information may be acquired.

  The index calculation unit 130 calculates a plurality of indexes with reference to the price DB 110 and stores them in the index storage unit 170 in association with the brand code and date. As the index calculated by the index calculation unit 130, a technical index selected and specified in advance is used, and the price fluctuates at an exponential moving average line of the closing price in a predetermined number of days, a predetermined rate of increase or decrease A line connecting the closing prices (sometimes called a zigzag line), a rank correlation coefficient line of closing prices for a predetermined number of days, a lagging line and a leading line for a predetermined number of days, and a closing price for a predetermined number of days Includes legs using exponential moving average, high and low prices (to be described later, sometimes referred to as “wave feet”).

  Here, the technical indicator selected above was verified through the verification process such as selection and creation of a technical indicator, or a combination thereof in order to prove the hypothesis regarding the trading signal point of the inventor of the present application, It is a number of days parameter suitable for each described later.

  The condition determination unit 140 has a long-term wave based on an exponential moving average, a medium-term wave based on a zigzag line, a short-term wave based on a rank correlation coefficient, and a stock price trend turning point based on a wave foot for a specific date. Whether or not a predetermined condition is satisfied is determined by referring to the index stored in the index storage unit 170. In this case, the condition determination unit 140 refers to the condition of each wave stored in the condition storage unit 160.

  The timing at which the condition determination unit 140 determines the condition may be a time point instructed by the user via the input unit 105 or may be at regular intervals. Further, the stock for determining the condition may be one specified by the user via the input unit 105 among the stock codes stored in the index storage unit 170 or stored in the index storage unit 170. Any of a plurality of brand codes may be used.

  The display unit 107 includes a logic board display unit 108 that displays a logic matrix board (sometimes referred to as a logic board), and a chart display unit 109 that displays a trading decision stock price chart (sometimes referred to as a stock price chart). . The chart display unit 109 reads the index from the index storage unit 170 and displays a stock price chart in association with the date. Further, when the condition determining unit 140 determines that the condition is satisfied, the chart display unit 109 displays a signal that prompts sales of the financial product in association with a specific date in the chart. The logic board display unit 108 displays the determination result by the condition determination unit 140 as to whether the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding conditions in association with a specific date. .

  FIG. 4 shows an example of price information acquired by the price data acquisition unit 120 and stored in the price DB 110. In the example shown in FIG. 4, for the stock code “1570”, the opening price, the high price, the low price, the closing price, and the trading volume are associated with each day from June 2, 2014 to December 17, 2015. Is stored as Instead of this, or in addition to this, price movements at shorter intervals, for example, prices per minute, may be acquired and stored. Price information for a plurality of brands may be stored.

  FIG. 5A and FIG. 5B show an example of an index calculated by the index calculation unit 130 and stored in the index storage unit 170. In the example shown in FIG. 5A and FIG. 5B, wave foot, EMA, zigzag line, slow line, leading line, and RCI indices are stored in association with the brand code “1570”. The wave foot index includes a wave foot opening price, a wave foot high value, a wave foot low value, and a wave foot closing price. EMA indicators include short-term EMA, medium-term EMA, and long-term EMA. RCI indicators include RCI short term, RCI medium term and RCI long term.

  FIG. 6A and FIG. 6B are diagrams for explaining “legs” using an exponential moving average of closing prices in a predetermined number of days N proposed in the present embodiment. For the four values of the bar, the opening price is the N-day index moving average for the previous day, the high is the high for the day, the low is the low for the day, and the closing is the N-day index moving average for the day. Is adopted. The reason for using the exponential moving average instead of the simple moving average is that the accuracy is higher if the most recent price movement is “emphasized” and the past price movement is slightly “disregarded”. This has the effect of reducing the lag of the latest closing price on the moving average line.

  However, in this embodiment, an exponential moving average is used to calculate the “leg”, but when displaying for visual judgment purposes on a stock price chart described later, a simple moving average or a weighted moving average is used instead. May be.

For example, the formula for calculating the 3-day exponential moving average can be calculated by substituting 3 for N in the formula for calculating the exponential moving average (EMA) below. (Hereafter, the 3-day index moving average may be abbreviated as “3EMA”.)
N-day index moving average calculation formula: The first day calculation method is the simple average of the closing prices of the last N days (including the current day)
From the second day onwards, the previous day's N-day index moving average + (the current day's closing price-the previous day's N-day index moving average) × 2 ÷ (N + 1)
The “foot” is considered as a technical index suitable for visually checking price action (stock price trend), and is hereinafter referred to as “wave foot”. Further, as shown in FIG. 6B, the “wave average foot” obtained by deleting the “beard” that displays the current day's high and low prices from the wave foot is referred to as “wave average foot”.

  In the above-mentioned wave foot, the average value for the current day is between the “average value for the previous day” and the “close price for the current day.” If the wave foot is positive, the close price for the current day is located between the high price and the close price for the current day. Also, if the wave foot is a hidden line, it is located between the low price and the closing price of the day. In addition, it is preferable that coloring of the main body portion of the foot may be used as a method for visually distinguishing the positive and negative lines of the wave foot. For example, the positive line is displayed in green and the hidden line is displayed in red. It is easy to intuitively judge stock price trends by color. In FIG. 6A, the positive leg is shown in white and the negative leg is shown in black.

  For example, as shown in FIG. 6A, two wave legs that are continuous in time series are obtained by setting the previous day's exponential moving average value to the opening price of the current day. The continuity of the foot will be maintained, and the change in stock price rise / fall will be easily visible on the chart. Furthermore, in order to improve this visibility, the blank space between adjacent wave feet is eliminated.

  According to the above definition of wave foot, the point that changed from a continuous wave foot shadow line to a positive line is a wave foot up-turning point (hereinafter referred to as UTP (Upward Tipping Point)), and vice versa. The changed point is defined as a wave foot downward turning point (hereinafter, also referred to as DTP (Downward Tipping Point)). FIG. 7A shows an example of UTP, and FIG. 7B shows an example of DTP.

  It can be said that the situation in which the positive and negative waves do not continue and the positive and negative waves appear alternately is in the range or trendless where the trend is not clear. Note that there is a possibility that the UTP and DTP turning point is “damashi”, so it is better not to judge whether to sell or buy based on this index alone. It is preferable to consider it as a point where a possibility of becoming a turning point from buying to selling and buying to selling has appeared.

  In the stock price chart, the upper whiskers (displaying the high price for the day) and the lower whiskers (displaying the low price for the day) associated with the wave foot entities that make up the wave foot are the most recent in the Dow theory. If the price rises above the high price, it is defined as the uptrend, and conversely, the price declines while the latest low is updated while the high price cuts down. May be a reference for buying and selling decisions.

  Since the wave foot has the above characteristics, the stock price wave has continuity, it is very easy to see, and even when a change in the stock price trend occurs, it can be recognized at a glance. At the same time, you can understand the position of important closing prices, and recognize the momentum when stock prices rise or fall. Therefore, a wave chart is changed to a candlestick and charted.

  The index calculation unit 130 also calculates the short-term EMA, the medium-term EMA, and the long-term EMA by substituting large, medium, and small days for N in the above formula. The number of days is set by the user via the input unit 105, and is, for example, 5 days, 25 days, and 50 days. They may be displayed as 5EMA, 25EMA, and 50EMA, respectively.

  FIG. 8A and FIG. 8B are graphs showing the correlation between UTP and DTP of the 3-day wave average bar and RCI in a certain period for a specific brand. RCI is an oscillator index that attempts to determine the timing of buying and selling based on the correlation between time (day) and price over a certain period. Ascending ranking to the closing price, the index is considered to be high when it approaches 100 and low as it approaches -100. In other words, you can analyze whether the market price is moving with a buyer's advantage or a seller's advantage, and catch the overshoot of the market, and capture the timing and timing of “starting to rise” and “beginning to fall”.

  Therefore, RCI is generally regarded as an upside down technical indicator. However, in this embodiment, it is utilized not only as a general usage but also as an important means for confirming mainly the stock price trend turning point of wave motion.

The following formula is used for RCI.
RCI = {1-(6 xd) / (n to the third power-n)} x 100
6: Constant
d: The sum of squared difference between date rank and price
n: Period (days)

  The index calculation unit 130 calculates the RCI long term, the RCI medium term, and the RCI short term. The number of days is set by the user via the input unit 105, and typical examples are 52 days, 26 days, and 9 days. RCI-52, RCI-26, and RCI-9 may be displayed respectively.

  As shown in FIG. 8 (a), it can be seen that there is a high correlation between the turning points of UTP, DTP and RCI-9, which are turning points of the wave average bar using 3EMA. Therefore, it is understood that it is useful as a means not to encounter “damashi”. FIG. 8 (b) is an example in which verification was conducted by paying attention to the correlation between the change of the wave average bar using 10EMA and the turning point of RCI-21.

  Note that the number of days of the rank correlation coefficient (RCI) having a high correlation with each index moving average (EMA) is tabulated in advance and stored in the WEB server 24, and the stock trading support apparatus 100 stores the table in the WEB server 24. May be available from This is very useful when making a purchase entry decision by operating a stock price chart.

  Another index calculated by the index calculation unit 130 is a zigzag line displayed as a broken line. The zigzag line itself is not indexable, but it can remove stock noise fluctuations that occur irregularly and compare stock price movements relative to each other. The zigzag is set to capture the minimum price movement and ignores price movements that do not meet that criterion. The zigzag line is referred to as a zigzag line when it is displayed on the screen for the sake of convenience, and does not necessarily assume that a line is drawn in the calculation by the index calculation unit 130. The result calculated by the calculation method to be described may be stored in the index storage unit 170.

  The reference price range is set as a percentage and can be based on either the closing price, the high price, or the low price, but here the closing price will be used. For example, if a predetermined increase rate and decrease rate of 5% are set, the line is inverted only when the change from the high value to the low value exceeds 5%. Therefore, when the price movement width is less than 5%, a line is not drawn by zigzag. This line continues until the stock price falls more than 5% from the high. The zigzag line is effective in removing noise associated with volatility and daily stock price movements, and is very useful in viewing medium-term stock price trends. The increase rate and the decrease rate can be set by the user via the input unit 105.

  Indicators excluding the zigzag line are fixed once the closing price of the time series stock price is fixed. However, in the case of a zigzag line, the numerical value may be updated due to future stock price fluctuations. In the example of Fig. 5 (b), 12110 was derived and displayed because it fell 5% or more from the value 14230 on 2015/9/17 to 12110 on 2015/9/29. “# N / A” is displayed. This means that the 9/30 stock price did not fall below 12110. If the stock price reverses and rises with 12110 as the bottom for the time being, and if it rises by 5% or more, this 12110 will be confirmed. If you understand the characteristics of this zigzag line well, it will be an index for judging trend change, trendless, or range break status.

  Another index calculated by the index calculation unit 130 is a lag line. The lag line is simply drawn by tracing back the closing price of the current day to a predetermined number of days, for example, 26 days ago. However, it is said that when the lagging line rises with a golden cross of wave motion, it becomes a buying phase, and on the contrary, when it goes down with a dead cross, it becomes a selling phase. By using the slow line, the same function as RCI-26 can be easily recognized on the chart without analyzing the chart. FIG. 12B shows an example using a 21-day lag line, and thus the usefulness may be tried using the 21-day lag line simultaneously with RCI-21.

  FIG. 9 is an example of a display screen 200 displayed by the display unit 107. On the display screen 200, a trade decision stock price chart 300 of a specific brand, a days setting display column 310 and a logic matrix board 400 are displayed on a single screen in a horizontal row. In the day setting display field 310, a predetermined number of days such as EMA and RCI currently set is displayed. Furthermore, you may receive the change of these days by using the said display as an input column. However, the value in the days setting column of the zigzag line is not the number of days but the rate of increase / decrease. (Refer to the figure surrounded by circles in the figure)

  FIG. 10 is an enlarged view of the trading decision stock price chart 300. In the trading decision stock price chart 300, wave legs, three short-term, medium-term, and long-term EMAs, a zigzag line, and a lag line are displayed superimposed on each other with respect to the first axis. It becomes easy to judge the points of selling and buying from the positional relationship between the UTP, DTP, and EMA line of the wave foot. A numerical value of RCI, which is an oscillator index, is attached to the second axis, and three short-term, medium-term, and long-term RCI are further superimposed on the chart. As for the numerical value of the second axis, the maximum value, which is a feature of RCI, is 100 and the minimum value is −100. Below that, as a supplementary chart, in the buying and selling judgment stock price 300 chart, a buying signal for promoting buying and selling is displayed on the screen in association with a specific date. The buy signal is determined by the condition determination unit 140 as described below, and is displayed by the chart display unit 109 based on the determination.

  In the buying and selling stock price chart 300, in order to increase the visibility for the user, one zigzag line, three EMA lines, and three RCI lines are mixed with a solid line and a dotted line, and each value rises or falls. May be displayed by distinguishing them with shades of the same color. Furthermore, since the buy / sell decision stock price chart 300 has a function of displaying / hiding each index, the user can control the number of displayed items as necessary, so convenience is given priority over complexity. To do.

  FIG. 11 is an enlarged view of the logic matrix board 400. The logic matrix board 400 has a buy entry 410 and a margin sale entry 450.

  The buy entry 410 has columns for long-term waves, medium-term waves, short-term waves, and buy signals in association with dates. The long-term wave, the medium-term wave, the short-term wave, and the buy signal are determined by the condition determination unit 140 as follows, and are displayed by the logic board display unit 108 based on the determination. In this case, when the condition determination unit 140 determines that the corresponding condition is satisfied for the index to be determined, the logic board display unit 108 displays “one of the buying conditions by satisfying the condition. Is displayed in association with the index.

  In the buy entry 410, an example of the condition for the long-term wave is “the EMA long-term of the previous day <= the EMA long-term of the current day”. If this condition is satisfied, “up” is displayed, otherwise it is blank. . In this case, the display of “rising” is an example of a display indicating that “one of the buying conditions is satisfied because the condition is satisfied”. If RCI ultra-long term (for example, RCI-89) is used instead of EMA, the previous day's RCI ultra-long term <= RCI ultra-long term for the current day will be displayed as “rising”, otherwise it may be left blank .

  The calculation result of the zigzag line is displayed in the medium term wave. An example of a condition for medium-term waves is “when a given rate of increase or decrease is met”. When this condition is met, the stock price is expressed as a number, and if it rises between the numbers, it is light gray If it descends, it is dark gray. The others are expressed in colorless. In this case, a number or light gray display is an example of a display indicating that “one of the buying conditions is satisfied by satisfying the conditions”.

  An example of the condition for the short-term wave is “RCI short-day of the previous day <RCI short-day of the current day”. When this condition is satisfied, “rising” is displayed, otherwise it is blank. In this case, the display of “rising” is an example of a display indicating that “one of the buying conditions is satisfied because the condition is satisfied”. In addition, as a short-term wave, “rise” may be displayed only when the above condition is satisfied even in the short-term RCI for other days. The RCI short term is one of the methods for grasping the state of the short term wave when the following buy signal is displayed.

  An example of the condition for the buy signal column is “the previous day's wave foot closing price <= the current day's wave foot closing price and the previous day's RCI short term <= the current day's RCI short term <= the current day RCI short term”, and this condition is satisfied. Real-time stock price is displayed, and blank if the condition is not met. Thereby, it can be considered that the buy signal column represents a turning point of the price trend. It is also possible to display a visual buy signal with the letters “buy” instead of the real-time stock price.

  The display of the long-term wave, the medium-term wave, the short-term wave, and the buy signal can assist the user in determining whether or not to buy the stock. In particular, it is possible to make a purchase decision while looking at whether or not each of the plurality of conditions is satisfied, instead of making a determination based on one condition, so that accuracy and convenience are improved. By using a combination of a plurality of conditions, it is possible to make a purchase decision considering not only one point on the day but also a stock price fluctuation pattern. Further, by changing the display depending on whether the condition is satisfied or not, it is possible for a beginner to easily understand whether the condition is satisfied. It is preferable that the user uses the buy signal derived in an aspect suited to his / her strategy as an entry point while referring to a stock price chart or a logic board. A specific example of how to refer to the stock price chart and the logic board is provided from the WEB server 24.

  It should be noted that the conditions for determination in the long-term wave, the medium-term wave, the short-term wave, and the buy signal are stored in the condition storage unit 160 in advance. The condition may be changed by the user via the input unit 105.

  The credit selling entry 450 is provided with columns of long-term wave, medium-term wave, short-term wave and credit selling signal in association with the date. The long-term wave, the medium-term wave, the short-term wave, and the margin sale signal are determined by the condition determination unit 140 as follows, and are displayed by the logic board display unit 108 based on the determination. In this case, when the condition determination unit 140 determines that the corresponding condition is satisfied for the index to be determined, the logic board display unit 108 displays “one of the selling conditions by satisfying the condition. Is displayed in association with the index.

  In the credit selling entry 450, an example of the condition for the long-term wave is “previous day EMA long-term> long-day EMA long-term”, and when this condition is satisfied, “decline” is displayed, and the others are blank. In this case, the display of “down” is an example of a display indicating that “one of selling conditions is satisfied because the condition is satisfied”. Using ultra long-term RCI (for example, RCI-89) instead of EMA, if the previous day's RCI ultra-long term <= RCI ultra-long term on the current day, “Increase” is displayed.

  The calculation result of the zigzag line is displayed in the medium term wave. An example of the condition for medium-term waves is “when a predetermined rate of increase or decrease is reached.” When this condition is met, the stock price is expressed as a number. If descending, it is light gray. The others are expressed in colorless. In this case, a number or light gray display is an example of a display indicating that “one of the selling conditions is satisfied by satisfying the condition”.

  An example of the condition for the short-term wave is “the previous day's RCI short-term> the current day's RCI short-term”. When this condition is satisfied, “down” is displayed, and otherwise, the field is blank. In this case, the display of “down” is an example of a display indicating that “one of selling conditions is satisfied because the condition is satisfied”. In addition, as a short-term wave, “down” may be displayed only when the above conditions are satisfied even in the short-term RCI for other days.

  An example of the condition for the sell signal column is “the last day's wave foot closing price> the current day's wave foot closing price and the previous day's RCI short term> the current day's RCI short term> the current day's RCI short term”. If the stock price is displayed and the condition is not met, it is blank. Thereby, it can be considered that the sell signal column represents a conversion trend. It is also possible to display a visual buy signal with letters such as “sell” instead of the real-time stock price.

  In addition, in the judgment of long-term wave, medium-term wave, short-term wave, and buying for both buy entry and credit entry, the equal sign may be included in either one that satisfies each condition or one that does not satisfy each condition.

  The logic matrix board 400 is displayed in synchronization with and synchronized with the buy / sell decision stock price chart 300. The feature is that the system trade performed by looking at the stock price chart will be done at the discretion of the user as a result, and in actual trade, the expected result is not obtained for various reasons. Therefore, the logic matrix board 400 was developed, and all displayed data is automatically created and displayed. When the trading decision stock price chart 300 and the logic matrix board 400 are used in combination, not only the back test but also the forward test can be easily performed.

  Generally, it is said that more than 80% of investors are buying and selling by looking at some charts, and the rest are said to be trading by looking at the numbers displayed on the “board”. According to the present embodiment, market environment judgment, user's own strategy (advancement, reversal, breakout method, spot or credit transaction, day trade, swing, position trade, etc.) by basic operation of the buy / sell decision stock price chart 300 ), It is possible to logically make judgments on buying and selling entry points that meet the above, and closing points and loss cut points.

  In the present embodiment, the logic matrix board 400 in which trading judgment logic is preliminarily incorporated and the trading judgment stock price chart 300 corresponding to the logic matrix board 400 are automatically created and displayed, so that the conventional user has dissatisfaction and distrust. The system trade software in which the buying and selling logic is made into a black box is what sets it apart.

  Hereinafter, as an example of the embodiment, a description will be given from the viewpoint of whether to execute a trading entry in accordance with a trading strategy set by the user himself / herself. The novice user will explain on the premise that he / she wants to select an entry point with an aggressive trade as a trading strategy and a good winning rate. In addition, although it is explained on blogs and the Internet that “advancement is a trade that buys and sells stocks according to the rising trend of stock prices”, if there are almost anything that clearly defines the rising trend Absent. The only thing that defines the trend is Dow theory. However, it can be said that it is quite difficult to practically apply Dow theory. However, since the system defines that the long-term wave is displayed as rising, no doubt arises.

  In the following description, it is assumed that the numbers or indicators displayed on the current day portion of the buying and selling stock price chart 300 and the logic matrix board 400 are updated at the daily closing price or minute closing price. The technical indicators displayed on the stock chart are wave motion, 5EMA, 25EMA, 50EMA, zigzag line, lag line, RCI-9, RCI-26 and RCI-52.

  The logic of the logic matrix board 400 for buy entry is set as follows.

  As long-term wave logic, if 50EMA on the current day> = 50EMA on the previous day, “Increase” is displayed in the date column, otherwise “blank”. In order to distinguish more clearly, the color may be colored blue when “raised”, and yellow when blank.

  As the logic of the medium-term wave, a 5% zigzag line is calculated, and in the zigzag column, a numerical value is displayed when it rises or falls above 5%, and “# N / A” is displayed otherwise. Blue may be used when the numerical value is increasing in time series, red when the numerical value is decreasing, and yellow when “# N / A” is displayed in the column for the current day from the most recent numerical value.

  As the short-term wave logic, “rising” is displayed only when RCI-7 of the current day> = RCI-7 of the previous day and RCI-8 of the current day> = RCI-8 of the previous day. Otherwise, it is “blank”. For clear identification, blue may be colored when “rising” is displayed, and yellow when blank. Only one of RCI-7 and RCI-8 may be used.

  As a buy signal logic, a “buy” signal is displayed only when the condition of 3EMA of the current day == 3EMA of the previous day and RCI-9 of the current day == RCI-9 of the previous day is satisfied. Instead of the “buy” signal, the closing price of the day may be displayed. In addition, when the simple moving average is used in the buying and selling judgment stock price chart 300, it is preferable that the logic is changed correspondingly. For example, if 3MA (3-day simple moving average) is used instead of 3EMA above, the logic is “Close price> 3MA for the current day, 3MA for the current day> = 3MA for the previous day, and RCI-9> = the previous day Whether or not the condition of “RCI-9” is satisfied.

  FIG. 13 is an example of a display screen including a stock price chart in which technical indexes of the stock code 1570 from August 3, 2015 to October 15, 2015 are charted. In this example, it is assumed that the user uses the following brand search function to pick up a brand 1570, which is a brand that can be bought and sold soon, based on his / her trading strategy and register individual brands.

  The stock trading support apparatus 100 is provided with a brand search function. In the brand search function, when the user registers a plurality of brands from the input unit 105, the price data acquisition unit 120 acquires price information for the plurality of brands as described above and stores it in the price DB 110. Further, the index calculation unit 130 calculates the index and stores it in the index storage unit 170 with reference to the price DB 110 for the plurality of brands. The display unit 108 refers to the index storage unit 170 and displays FIG. 12C in which three RCIs are hidden from the stock price chart shown in FIG. Display on a single screen or sequentially.

  The stock price chart of FIG. 12C is a graph in which wave legs, a plurality of EMAs, a zigzag line, a lag line, or a preceding line are superimposed. Thereby, the market environment of the brand which the user chose himself can be recognized at a glance. Therefore, it is possible to quickly pick up brands that match one's own trading style and trading strategy, and it can be an effective means for recognizing timely buying, range breaks, breakout points, and the like. The chart pattern recognition method and the like are provided to the stock trading support device 100 through the WEB server 24. In FIG. 12 (c), it can be seen from checkpoints 1, 2 and 3 that the stock price may be on an uptrend if the lagging line breaks out of the wave foot during one or both days. . Moreover, if the drawn resistance wire is not exceeded, there is a possibility that it will still fall.

  In any of the stock price charts in FIGS. 12A to 12C, the positional relationship between the wave foot UTP and the EMA related to the wave foot UTP can be grasped more clearly by changing the parameters of the input section by the user himself / herself. There is. In the example of FIG. 12 (b), in the circle mark on the right, RCI-8 displays a state in which RCI-13 and RCI-21 are crossed golden from the bottom. This means that the wave foot is a golden cross between 5EMA and 10EMA. If you look at the 21st line, you can see that the line is still under the wave foot and has not yet entered the buying phase. Breakout points include points where the lag line breaks out of the wave foot, and points where RCI-21 turns from falling to rising. Since the index moves logically, mastering this parameter changing method will help the user to establish a trading method.

  When looking at FIG. 13, there is a view that it is judged that the downtrend has already ended because the bottom was formed on September 29. Here, the long-term wave column of the logic board for buy entry is “blank”, and there is no indication of an increase. Therefore, if the stock trading support device 100 of the present embodiment is used, it is determined that the market environment as of October 15 is not in an upward trend state. In the logic board for selling entry that is integrated with the front and back, “Descent” is displayed in the long-term wave column and the short-term wave column on October 15, and “Sell” is displayed in the signal column. In this way, the logic board for sell entry is originally created for credit selling entry, but if you understand the logic well, you can buy and sell appropriately instead of looking only at the logic board for buy entry. It is also recommended to use an entry logic board.

  FIG. 14 is an example of a display screen including a stock price chart showing a state in which the date has advanced from October 13 to October 26. According to FIG. 14, from October 15 to 23, the long-term wave field has been “blank”, but on October 26, “rising” indicating a long-awaited trend shift is finally displayed, and the signal field is also displayed. “Buy” is displayed. It can be seen that the medium-term wave has also risen from “13500” on October 14 to the current value “15080”. Before that, the price has risen to the closing price of “14460” on October 21st, so it ’s out of the peak of the mountain on October 9th. Since all entry conditions are in place, you may make a buy entry, but in this example, we will trade with a forward strategy, so we will explain in a stance that we wait until the long-term wave starts to rise. However, another thing that should not be overlooked is that 25EMA has already turned up, so it starts when the user understands the system and is confident that the reverse strategy can be a good buying opportunity. It is a good strategy. At the same time, it is important to pay attention to changes in the logic board for selling entries.

  Although this does not match completely, the situation here is considered to be the same as the stock price adjustment decline pattern that occurred from October 9th to 14th. The rationale is that RCI-9 is down, but RCI-26 and RCI-52 are on the rise. Therefore, it is aimed at the push buying timing after a short-term decline. In addition, it can be seen that the lag line is over the wave foot and is in the buying phase. The reproducibility of the chart pattern is very high, and once you have mastered the movement of RCI, you can make a logical decision on buying and selling.

  FIG. 15 is an example of a display screen including a buy / sell decision stock price chart showing a state in which the date has advanced to November 2 from FIG. According to FIG. 15, it can be seen that the zigzag line, which is the mid-term wave of November 2, has fallen from “15330” on October 30, which is the previous business day. Even at this point, there is a possibility of “Damasi”, and it is judged that beginners should not take their hands. If you look closely at the stock price chart as of October 30, you can see the possibility of a short-term adjustment decline. RCI-9 is deadcrossing RCI-26. Depending on the investment profit / loss situation of the user, all positions may be closed, or RCI-52 may have risen, so there may be investors who continue to maintain their positions, judging that they will start to increase immediately after a short-term adjustment.

  FIG. 16 is an example of a display screen including a buy / sell decision stock price chart showing a state in which the date has advanced to November 5 from FIG. According to FIG. 16, as mentioned in FIG. 15, the fall on November 2 may have been “damasi”. If you look at the logic board for buying entry on November 5th, you will see “rising” in the long-term wave column, a rising value in the medium-term wave column, and “rising” in the short-term wave column. The emergence of “buy” signals in the market environment.

  However, it is preferable to check RCI-9, RCI-26 and RCI-52 before final entry. In the example of FIG. 16, it can be seen that RCI-9 is in a state where the descent is stopped, RCI-26 is not descent and remains at a high level near +95, and RCI-52 is continuously increasing. Therefore, it is determined that a buy entry is preferable. The RCI-26 sticks around +90, so it can be said that it is not strange to enter the downward adjustment at any time.

  FIG. 17 is an example of a display screen including a buy / sell decision stock price chart showing a state in which the date has advanced to November 12 from FIG. Referring to FIG. 17, it is advisable to conduct a preliminary survey on profit-selling points as of November 11th. The reason is that both RCI-9 and RCI-26 are in the vicinity of +95, and RCI-52 also seems to have a feeling of peaking out. In the logic board for buy entry, the short-term wave on November 12 has started to fall, and if the short-term RCI, for example RCI-7, crosses RCI-12, the probability of moving in the downward direction increases. Therefore, when confirming on the RCI chart, it can be confirmed by changing the number of days of any two RCIs to 7 and 12. As a result, it is possible to help the decision to sell the profit fixed sale at the highest possible price. Here too, there is a possibility of becoming a “damashi” as before.

  In FIG. 17, it can be seen from the “rising” display in the long-term wave column that the stock price has already entered an upward trend. The circled circles are typical patterns of rising with short-term adjustments. Therefore, at the moment when not only the recognition of the so-called push-point buying point that occurs during this uptrend but also the adjustment decline that occurs before that, do you make a profit-selling or do you recognize the short-term decline and maintain the position? Or you have to make an appropriate decision whether to dispose about half of the position. 〇 Basic information on how to analyze the stock price chart and logic board of each wave foot DTP at the marks A, B, and C and to aim at logical trade instead of sensory is provided from the WEB server 24.

  In the examples of FIGS. 13 to 17, an example of a method for utilizing the buy / sell decision stock price chart and the logic matrix board of the present embodiment in the breakout trade or the push-buy trade during the upward trend has been introduced.

  FIG. 18 is a stock price chart and a logic matrix board that have been confirmed from 2015/9/28 to 20115/12/9. If this is an example of a correct trading solution for the system, it is easy to see where you made a mistake when compared to your trade execution records. It can also be used to check the authenticity of promising stock information that others offer for a fee, and to check suspicious information. An important point in FIG. 18 is a point indicated by a thick upward arrow indicated by a right circle, that is, a point where RCI-26 dead-crosses RCI-52. This was not seen in the circles A, B, and C in Figure 17. If this difference is not known, it can be a turning point from an uptrend to a downtrend.

  FIG. 19A and FIG. 19B show which part of the stock price chart and the logic board changes when stock price information can be acquired in real time. In the example of FIG. 19A, a fixed stock price chart and a logic board after the end of the market on December 17, 2015 are displayed. On the other hand, FIG. 19B is a stock price chart and a logic board displaying the status of 9:04 am on the same day. In this example, the real-time stock price information is assumed to be updated every 3 minutes. It can be seen by comparing the marked portion with the corresponding portion in FIG. Medium-term waves, short-term waves, and trading signal fields can all change drastically.

  In the stock price charts shown in Patent Document 1 and Patent Document 2, even if a buy / sell signal or a sign of “buy” or “sell” is displayed on the chart, the user does not understand the grounds and logic at all. . If the result of the trading entry according to those trading signals displayed on the chart is not good, distrust to the system will be raised. Unlike the above, according to the present embodiment, the stock price chart uses the same parameters as the index displayed on the logic board, and when the stock price chart is displayed in conjunction with the stock price chart, the system can understand the logic even in the stock price chart. It can be said that the stock price chart of this embodiment is a stock price chart that can recognize not only trading logic but also a market price phase.

  The stock trading support device 100 may be provided with a function for placing an order for stock trading. In this case, not only can the user place an order for stock trading via the input unit 105, but the stock trading support apparatus 100 can automatically perform when the conditions set by the user via the input unit 105 are satisfied. An order may be placed. An example of the condition is that for the stocks identified by the stock code, the condition determination unit 140 satisfies any of the long-term wave, the medium-term wave, the short-term wave, and the buy signal or any combination thereof satisfying the “buy” condition. It is to place an order for buying if it is determined that the Another example of the condition is that for the stocks identified by the stock code, the condition judgment unit 140 has a long-term wave, a medium-term wave, a short-term wave and a credit selling signal, or any combination thereof is “sell”. When it is determined that the condition is satisfied, an order for a credit sale is placed. These conditions are stored in the condition storage unit 170, for example.

  In the present embodiment, the stock has been described as an example. For example, the present invention can be applied to any financial product in which a chart is used as a technical index, such as a currency transaction or a commodity transaction.

  In the present embodiment, a case relating to a trading signal has been described, but a technical index familiar to the user may be applied. In addition, in the present embodiment, it is needless to say that an oscillator chart such as MACD, RSI, stochastics, etc. can be created as an auxiliary chart under the trading decision stock price chart 300.

  By using the buy / sell logic board, you can verify your trades, and you can easily provide your own trading performance as well as the ability to improve your trading skills in your favorite period, currency, and time axis. In this case, for a certain past period set by the user via the input unit 105, data for each day is obtained at a predetermined time interval (for example, several seconds to several tens of seconds) from the start date to the last date of the period. It is preferable that the purchase decision stock price chart 300 and the logic matrix board 400 are sequentially displayed additionally.

  A universal system is one that demonstrates its capabilities when the market environment changes. The system is designed not only to handle both rising and falling market prices, but also to allow users to verify the usefulness of the system. Furthermore, generally, trading rules, that is, logic, cannot be found from a stock price chart. However, according to the present embodiment, since the technical index linked to the published logic matrix is displayed on the stock price chart, the user can easily find the entry point of trading according to the trading rules from the stock price chart. Can do.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

  The order of execution of each process such as operations, procedures, steps, and stages in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before” or “prior to”. It should be noted that the output can be realized in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the description, and the drawings, even if it is described using “first”, “next”, etc. for convenience, it means that it is essential to carry out in this order. It is not a thing.

  DESCRIPTION OF SYMBOLS 10 Stock trading support system, 20 Total trading judgment support apparatus, 22 DB server, 24 WEB server, 30 Backup server, 40 Stock price information provision server, 50 Network, 100 Stock trading support apparatus, 101 Bus, 102 CPU, 103 Communication control part 104 memory, 105 input unit, 106 storage unit, 107 display unit, 108 logic board display unit, 109 chart display unit, 110 price DB, 120 price data acquisition unit, 130 index calculation unit, 140 condition judgment unit, 160 condition storage Part, 170 indicator storage part, 180 registration DB, 200 display screen, 300 buying and selling stock price chart, 310 days setting display column, 400 logic matrix board, 410 buy entry, 450 credit sale entry

Claims (8)

A financial product trading support device,
A price data acquisition unit for acquiring the closing price and closing price date of the financial product in association with identification information for identifying a brand of the financial product, and storing it in a price database;
Referring to the price database, a plurality of moving average lines of closing prices for a predetermined number of days, a polygonal line connecting closing prices whose prices have fluctuated at a predetermined rate of increase or decrease, a plurality of closing prices for a predetermined number of days And the index including the moving average of the closing price over a predetermined number of days, the foot using the high and low prices, the lag line and the leading line, and the index corresponding to the identification information and the date An index calculation unit stored in the storage unit;
With respect to a specific date of the financial product identified by the identification information, a rank correlation coefficient line based on the rank correlation coefficient and a condition in which a price trend turning point based on the foot is respectively determined in advance. A condition determination unit that determines whether or not the condition is satisfied with reference to the index stored in the index storage unit;
While displaying a chart in which the index is associated with the date, and when it is determined that the condition is satisfied by the condition determination unit, a signal that prompts the buying and selling of the financial product is associated with the specific date in the chart A financial product buying and selling support apparatus comprising a display unit for displaying. The condition determining unit includes, for the specific date of the financial product identified by the identification information, a long-term wave based on the moving average or the rank correlation coefficient, a medium-term wave based on the broken line, and the rank phase. Determine whether the short-term wave based on the number of relations and the wave turning point based on the foot satisfy a predetermined condition with reference to the index stored in the index storage unit,
The display unit associates the determination result by the condition determination unit as to whether the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding condition with the specific date. The financial product buying and selling support apparatus according to claim 1, wherein the financial product buying and selling support apparatus displays each of them. A financial product trading support device,
A price data acquisition unit for acquiring the closing price and closing price date of the financial product in association with identification information for identifying a brand of the financial product, and storing it in a price database;
Refers to the price database, moving average line of closing price in a predetermined number of days, broken line connecting the closing price in which the price fluctuated at a predetermined rising rate or falling rate, ranking correlation of closing price in a predetermined number of days An index calculation unit that calculates an index including a number and a bar using a moving average of closing prices in a predetermined number of days, and stores the index in association with the identification information and the date;
For a specific date of the financial product identified by the identification information, a long-term wave based on the moving average or the rank correlation coefficient, a medium-term wave based on the broken line, and a short-term wave based on the rank correlation coefficient And a condition determination unit that determines whether or not each price trend turning point based on the foot satisfies a predetermined condition with reference to an index stored in the index storage unit;
Display units for displaying the judgment results by the condition judging unit as to whether or not the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding condition, in association with a specific date. A financial product buying and selling support apparatus. A condition storage unit for storing the predetermined condition;
The condition storage unit, as a condition for buying the financial product,
Stores the condition that the value of the exponential moving average of the day is larger than the value of the exponential moving average of the previous day for the long-term wave,
For the medium-term wave, store the condition that the predetermined rate of increase has been exceeded,
For the short-term wave, store the condition that the rank correlation coefficient of the day is larger than the value of the rank correlation coefficient of the previous day,
For the price trend turning point, store the condition that the closing price of the current day is higher than the closing price of the previous day,
The display unit displays that the condition for buying the financial product is satisfied when the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding conditions. The financial product trading support device according to 2 or 3. A condition storage unit for storing the predetermined condition;
The condition storage unit is a condition for selling the financial product,
For the long-term wave, store the condition that the value of the exponential moving average of the day is smaller than the value of the exponential moving average of the previous day,
Stores the condition that the predetermined rate of decline has been exceeded for the medium-term wave,
Stores the condition that the rank correlation coefficient of the day is smaller than the value of the rank correlation coefficient of the previous day for the short-term wave,
For the price trend turning point, store the condition that the closing price of the current day is lower than the closing price of the previous day,
The display unit displays that the condition for selling the financial product is satisfied when the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding conditions. The financial product trading support device according to any one of 2 to 4.   6. The bar according to claim 1, wherein an opening price indicates a previous day value, a closing price indicates a current day value, a high price indicates a high price of the current day, and a low price indicates a low price of the current day. The financial product buying and selling support apparatus described in 1. A computer program comprising:
Price data acquisition procedure for acquiring the closing price and closing date of the financial product in association with identification information for identifying the brand of the financial product, and storing it in a price database;
Referring to the price database, a plurality of moving average lines of closing prices for a predetermined number of days, a polygonal line connecting closing prices whose prices have fluctuated at a predetermined rate of increase or decrease, a plurality of closing prices for a predetermined number of days The correlation coefficient coefficient line, the moving average of the closing price for a predetermined number of days, the index using the high and low prices, the index including the lag line and the leading line are calculated, and associated with the identification information and the date An index calculation procedure to be stored in the index storage unit;
With respect to a specific date of the financial product identified by the identification information, a rank correlation coefficient line based on the rank correlation coefficient and a condition in which a price trend turning point based on the foot is respectively determined in advance. A condition determination procedure for determining whether or not to satisfy with reference to an index stored in the index storage unit;
While displaying a chart in which the index is associated with the date, and when it is determined that the condition is determined by the condition determination procedure, a signal that prompts the buying and selling of the financial product is associated with the specific date in the chart A program that executes a display procedure. A computer program comprising:
Price data acquisition procedure for acquiring the closing price and closing date of the financial product in association with identification information for identifying the brand of the financial product, and storing it in a price database;
Refers to the price database, moving average line of closing price in a predetermined number of days, broken line connecting the closing price in which the price fluctuated at a predetermined rising rate or falling rate, ranking correlation of closing price in a predetermined number of days An index calculation procedure for calculating an index including a number and a bar using a moving average of closing prices in a predetermined number of days, and storing the index in association with the identification information and the date; and
For a specific date of the financial product identified by the identification information, a long-term wave based on the moving average or the rank correlation coefficient, a medium-term wave based on the broken line, and a short-term wave based on the rank correlation coefficient And a condition determination procedure for determining whether or not each price trend turning point based on the foot satisfies a predetermined condition with reference to an index stored in the index storage unit;
Display procedure for displaying the judgment result by the condition judgment procedure as to whether or not the long-term wave, the medium-term wave, the short-term wave, and the price trend turning point satisfy the corresponding condition in association with a specific date. A program that executes