WO2020075304A1 - Information processing device, information processing method, recording medium having information processing program recorded thereon, which are for equity investment - Google Patents

Information processing device, information processing method, recording medium having information processing program recorded thereon, which are for equity investment Download PDF

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Publication number
WO2020075304A1
WO2020075304A1 PCT/JP2018/038215 JP2018038215W WO2020075304A1 WO 2020075304 A1 WO2020075304 A1 WO 2020075304A1 JP 2018038215 W JP2018038215 W JP 2018038215W WO 2020075304 A1 WO2020075304 A1 WO 2020075304A1
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WIPO (PCT)
Prior art keywords
stock
stock price
specified
timing
user
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PCT/JP2018/038215
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French (fr)
Japanese (ja)
Inventor
真志 丸山
棚橋　誠
圭一 井口
大輔 浅原
直紀 水上
久史 伊藤
Original Assignee
Ｓｍｂｃ日興証券株式会社
Ｈｅｒｏｚ株式会社
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Application filed by Ｓｍｂｃ日興証券株式会社, Ｈｅｒｏｚ株式会社 filed Critical Ｓｍｂｃ日興証券株式会社
Priority to JP2019542645A priority Critical patent/JP6632180B1/en
Priority to PCT/JP2018/038215 priority patent/WO2020075304A1/en
Publication of WO2020075304A1 publication Critical patent/WO2020075304A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Definitions

  • the present invention relates to an information processing device for stock investment, an information processing method, and a recording medium recording an information processing program.
  • Japanese Patent Laid-Open Publication No. 2005-216184 has proposed a system that supports an investor's investment activity so that a computer can perform such an analysis that requires specialized knowledge so as to increase profits.
  • the present invention provides an information processing apparatus, an information processing method, and a recording medium for recording an information processing program for stock investment, which enables even an inexperienced investor to easily make a stock investment that makes a profit.
  • the purpose is to provide.
  • the information processing apparatus receives designation of a stock issue by a user, stock price data of the specified issue, market condition data indicating a trading situation of each stock, and an economic index indicating statistics about economy. Based on the data, the stock price trend of the specified issue is predicted, according to the predicted stock price trend, the timing of buying or selling the specified issue is determined, and the timing of the determined purchase Alternatively, a processing unit for notifying the user of the selling timing is provided.
  • the information processing method receives the designation of the stock issue by the user, and represents the stock price data of the designated issue, the market data showing the trading situation of each stock, and the statistics relating to the economy. Predicting the stock price trend of the specified stock based on the economic index data, and determining the timing of buying or selling the specified stock according to the predicted stock price trend; Notifying the user of the determined buying timing or selling timing.
  • the recording medium accepts designation of a stock brand by a user, stock price data of the designated brand, market data representing the trading status of each stock, and an economy representing statistics relating to the economy. Predicting the stock price trend of the specified stock based on the index data, and determining the timing of buying or selling the specified stock according to the predicted stock price trend, and An information processing program that causes a processing unit that is a computer to notify the user of the buying timing or the selling timing is recorded.
  • FIG. 1 is a diagram illustrating a configuration of an example of a stock price watching service providing system including an information processing device according to an embodiment.
  • FIG. 2 is a diagram showing an example of a hardware configuration of a stock price watching server, a service information management server, a stock price trend prediction server, and a data platform.
  • FIG. 3 is a flowchart showing the operation of the stock price trend prediction server.
  • FIG. 4 is a flowchart showing the operation of the stock price watching server.
  • FIG. 5 is a diagram showing an example of the setting screen.
  • FIG. 6 is a flowchart showing the purchase determination process.
  • FIG. 7 is a flowchart showing the watching process.
  • FIG. 8: is a figure which shows an example of operation
  • FIG. 1 is a diagram illustrating a configuration of an example of a stock price watching service providing system including an information processing device according to an embodiment.
  • the stock price watching service predicts future price movements of the stock specified by the user as a stock price trend, and recommends to the user the optimal buying timing and selling timing of the stock specified by the user based on the predicted stock price trend. It is a service to do.
  • the stock price watching service providing system 1 includes a stock price watching server 100, a service information management server 200, a stock price trend prediction server 300, and a data platform 400.
  • the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 are shown as separate components.
  • the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 may be configured as a single server.
  • the stock price watching server 100 is configured to be able to communicate with the service information management server 200, the stock price trend prediction server 300, the data platform 400, and the user terminal 500.
  • the stock price watching server 100 is, for example, a server computer including a service information setting unit 102, a signal transmission unit 104, and a loss cut point (LC) management unit 106.
  • LC loss cut point
  • the service information setting unit 102 receives from the user the setting of the stock whose stock price is to be monitored. Then, the service information setting unit 102 transmits the set information as service information to the service information management server 200.
  • the service information is, for example, information indicating whether or not a stock is a target of watching, a stock loss cut point (first loss cut point), a stock code, a stock name, an exchange name, a current price, a purchase quantity, and an evaluation amount. Such information is included.
  • the service information does not have to include some of the information, or may include other information other than these information.
  • the signal transmission unit 104 acquires the stock price trend prediction result of the stock designated by the user from the stock price trend prediction server 300, and sends a buy signal or a sell signal to the service information management server 200 based on the acquired stock price trend prediction result. send.
  • the stock price trend indicates whether the price movement of the stock price is in an upward trend or a downward trend.
  • the stock price trend may include a state that is neither an uptrend nor a downtrend.
  • the LC management unit 106 sets a loss cut point (first loss cut point) based on the stock price trend of the stock designated by the user and the closing price data of the designated stock.
  • the loss cut point is a value for determining the timing of loss cut (sale) of the designated brand.
  • the signal transmission unit 104 determines the selling timing based on the loss cut point set by the LC management unit 106 when the brand specified by the user is in the downtrend.
  • the service information management server 200 which constitutes the information processing apparatus according to the embodiment together with the stock price watching server 100, is configured to be able to communicate with the stock price watching server 100 and the user terminal 500.
  • the service information management server 200 is, for example, a server computer having a setting information management unit 202 and a signal distribution management unit 204.
  • the setting information management unit 202 stores the service information set by the stock price watching server 100 in the storage for each user.
  • the storage includes a hard disk drive, a solid state drive and the like.
  • the service information is not limited to that transmitted from the service information management server 200.
  • the setting information management unit 202 may also store service information regarding the purchased stocks.
  • the signal distribution management unit 204 notifies the user terminal 500 that the timing of purchasing or selling the stock has arrived, according to the buy signal or the sell signal transmitted from the stock price watching server 100.
  • the notification is performed by e-mail, for example.
  • the notification may be performed on this message application.
  • the stock price trend prediction server 300 is configured to be able to communicate with the stock price watching server 100 and the data platform 400.
  • the stock price trend prediction server 300 is, for example, a server computer having a trend prediction unit 302.
  • the trend prediction unit 302 predicts the stock price trend of the stock specified by the user, and outputs the stock price trend prediction result to the stock price watching server 100.
  • the stock price trend represents the trend of stock price movements.
  • the stock price trend includes an uptrend condition and a downtrend condition.
  • the uptrend state is a state in which it can be judged that the stock price is in an upward trend on a time average basis.
  • the downtrend state is a state in which it can be determined that the stock price is in a downtrend on the time average. It may include a state that is neither an uptrend nor a downtrend.
  • the stock price trend prediction is performed by artificial intelligence (AI) that has learned a stock price trend prediction model by, for example, deep learning.
  • AI artificial intelligence
  • the trend prediction unit 302 does not necessarily have to predict the stock price trend by AI. For example, the trend prediction unit 302 may predict the stock price trend by statistically processing (averaging, etc.) the history of stock price movements.
  • the trend prediction unit 302 may be configured to output the reliability of the prediction to the stock price watching server 100 together with the stock price trend prediction result. For example, in the prediction using AI, the most probabilistic result is output from a plurality of prediction results. This probability can be adopted as the reliability. In this case, the reliability has a value in the range of 0 to 1.
  • the data platform 400 is configured to be able to communicate with the stock price watching server 100 and the stock price trend prediction server 300.
  • the data platform 400 is a computer system provided with an environment in which various data that can be used in the stock price watching service providing system 1 is collected via a network such as the Internet and the collected data is stored in a storage.
  • the collected data is stock price data 402, market condition data 404, and economic index data 406.
  • Stock price data 402 includes closing price data for each day and real-time stock price data.
  • Market data 404 includes market data for each day.
  • the economic index data 406 includes data of economic indexes on each day.
  • the stock price watching server 100 and the stock price trend prediction server 300 acquire necessary data from the data platform 400 at a necessary timing.
  • the storage used for the data platform 400 is not particularly limited to a hard disk drive, a solid state drive, or the like.
  • the user terminal 500 is a terminal such as a smartphone and a personal computer (PC).
  • the user terminal 500 is not particularly limited as long as it is a terminal including an interface and a communication circuit.
  • FIG. 2 is a diagram showing an example of a hardware configuration of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400.
  • the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 include, as an example, the processing unit 2, the bus 4, the RAM 6, the ROM 8, the storage 10, the interface 12, and the And a communication circuit 14.
  • the processing unit 2 controls the respective operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400.
  • the processing unit 2 has hardware such as a CPU and a memory.
  • the processing unit 2 may have an ASIC, an FPGA, or the like instead of the CPU.
  • the processing unit 2 does not necessarily have to be configured by a single CPU or the like.
  • the processing unit 2 may operate as described by a plurality of CPUs and the like.
  • the bus 4 is connected to the processing unit 2, the RAM 6, the ROM 8, the storage 10, the interface 12, and the communication circuit 14, and each of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. Is a transfer path for transferring various kinds of data generated inside.
  • the RAM 6 is a volatile memory such as a DRAM and an SRAM, and temporarily stores the data processed by the processing unit 2 and the like.
  • the ROM 8 is a non-volatile memory such as a flash memory, and stores various parameters necessary for each operation of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400.
  • the ROM 8 may store programs necessary for the operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the processing unit 2 of the data platform 400.
  • the storage 10 is a hard disk drive, a solid state drive, or the like, and is necessary for the operation of the respective processing units 2 of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400, for example.
  • the storage 10 may store various parameters necessary for the operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400.
  • the storage 10 of the service information management server 200 stores service information for each user.
  • the storage 10 of the data platform 400 stores stock price data 402, market condition data 404, and economic index data 406.
  • the interface 12 is an interface for input / output.
  • the interface 12 includes an input interface such as a keyboard, a mouse, and a touch panel.
  • the interface 12 also includes an output interface such as a display and a printer.
  • the communication circuit 14 includes a communication interface for communication.
  • the communication interface may include, for example, a communication interface for wired communication and a communication interface for wireless communication.
  • FIG. 3 is a flowchart showing the operation of the stock price trend prediction server 300.
  • step S1 the processing unit 2 of the stock price trend prediction server 300 determines whether the stock price trend prediction timing has come.
  • the stock price trend is predicted at a predetermined timing, for example, after the end of securities trading on each day.
  • the prediction timing may be appropriately determined. If it is determined in step S1 that the prediction timing has not arrived, the process is on standby. When it is determined in step S1 that the prediction timing has arrived, the process proceeds to step S2.
  • step S2 the processing unit 2 acquires, from the data platform 400, the stock price data of each stock currently traded, the current market condition data, and the current economic index data.
  • step S3 the processing unit 2 predicts the stock price trend of each stock, for example, for one day within a predetermined period based on the stock price data, market data, and economic index data. This period does not have to be one day, and may be one week, one month, or the like.
  • step S4 the processing unit 2 uses the communication circuit 14 to calculate the stock price trend data specified by the stock price watching server 100 from the predicted stock price trend data together with the reliability data of the stock price trend prediction. The stock price is monitored and transmitted to the server 100. Then, the process returns to step S1.
  • FIG. 4 is a flowchart showing the operation of the stock price watching server 100.
  • the processing unit 2 of the stock price watching server 100 determines whether or not there is a login request from the user terminal 500 for using the stock price watching service.
  • the user operates the user terminal 500 to access the stock price watching server 100 when setting the stock price watching of the stock held by the user. When this access is detected, it is determined that there is a login request from the user terminal 500.
  • the process proceeds to step S12.
  • step S11 determines whether or not there is a login request from the user terminal 500 for using the stock price watching service.
  • step S12 the processing unit 2 transfers the data for displaying the login screen to the user terminal 500.
  • the login screen is displayed on the display of the user terminal 500.
  • the login screen is, for example, a screen requesting an ID and password set for each user. Login does not necessarily have to be performed using the ID and password.
  • step S13 the processing unit 2 determines whether or not the authentication has been correctly performed. For example, when the input ID and password match the previously registered ID and password, it is determined that the authentication has been performed correctly. When it is determined in step S13 that the authentication has been correctly performed, the process proceeds to step S14. When it is determined in step S13 that the authentication is not correctly performed, the process is on standby. If authentication is not correctly performed a predetermined number of times, processing such as prohibiting login may be performed.
  • step S14 the processing unit 2 transfers the data for displaying the setting screen to the user terminal 500.
  • the setting screen is displayed on the display of the user terminal 500.
  • FIG. 5 is a diagram showing an example of the setting screen.
  • the setting screen D of an example has a holding brand display area A1 and a purchase consideration brand display area A2. Further, the example setting screen D has a watching setting button B. When the watching setting button B is selected, the contents set on the setting screen D are confirmed. Then, the contents set on the setting screen D are stored in the storage 10 of the service information management server 200 as service information.
  • the owned brand display area A1 displays service information related to the brand currently owned by the user.
  • the holding stock display area A1 has a monitoring target check box, a loss cut point (LCP) setting part, a code display part, a stock name display part, an exchange name display part, a current price display part, a quantity display part, and an evaluation amount display part. are doing.
  • LCP loss cut point
  • the watch target check box is a check box for setting whether or not to monitor the stocks held by the user.
  • the user checks the watching target check box the corresponding brand becomes the watching target.
  • the LCP setting part is a part for setting the first loss cut point.
  • a drop-down list for selecting a loss cut point such as 3%, 7%, or 10% is displayed.
  • the user can select the desired loss cut point from the drop down list.
  • the loss cut point may be set by direct input to the LCP setting portion instead of being selected by the drop-down list.
  • the code display part is a part for displaying the stock code of the stock held by the user.
  • the information about the stock code of the stock held is stored in the storage 10 of the service information management server 200
  • the information about the stock code of the stock held is obtained from the storage 10 of the service information management server 200. Will be displayed in the code display area.
  • the code display portion is blank. In this case, the user can directly input the information of the issue code on the code display portion. Further, since the brand code and the brand name correspond to each other, if the brand name is known, the brand code information can be automatically input.
  • the brand name display part is a part for displaying the brand name of the brand owned by the user.
  • the information on the brand name of the brand owned is stored in the storage 10 of the service information management server 200
  • the information on the brand name of the brand owned is acquired from the storage 10 of the service information management server 200. Is displayed in the stock name display area.
  • the brand name display portion is blank. In this case, the user can directly input the brand name information in the brand name display portion. Further, since the brand code and the brand name correspond to each other, if the brand code is known, the brand name information can be automatically input.
  • the exchange name display part is a part for displaying the name of the exchange that purchased the brand owned by the user.
  • the stock exchange name of the stock held is stored in the storage 10 of the service information management server 200
  • the stock trade name information of the stock held is obtained from the storage 10 of the service information management server 200. Is displayed in the exchange name display area.
  • the exchange name display portion is blank. In this case, the user can directly input the exchange name information in the exchange name display portion.
  • the exchange name information can be automatically entered from the data platform 400.
  • the current price display part is a part for displaying the current stock price of the stock held by the user.
  • the information on the current value of the stock held is stored in the storage 10 of the service information management server 200
  • the information on the current value of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the current value display area.
  • the current price display portion is blank. In this case, the user can directly input the current value information in the current value display portion. If the brand code or brand name is known, the current value information can be automatically input from the data platform 400.
  • the quantity display part is a part for displaying the current purchase quantity of the stock held by the user.
  • the quantity of the stocks held is acquired from the storage 10 of the service information management server 200 and the quantity display portion is displayed. Is displayed in.
  • the quantity display portion is blank. In this case, the user can directly input the quantity information in the quantity display portion.
  • the brand code or brand name is known, quantity information can be automatically input from the data platform 400.
  • the evaluation amount display part is a part for displaying the current evaluation amount of the stock held by the user.
  • the information on the evaluation value of the stock held is stored in the storage 10 of the service information management server 200
  • the information on the evaluation value of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the valuation display area.
  • the evaluation amount display portion is blank. In this case, the user can directly input the information on the evaluation amount in the evaluation amount display portion.
  • the valuation amount is represented by the product of the present value and the quantity, the valuation amount can be automatically input if these values are known.
  • the brand code or brand name is known, the information on the evaluation amount can be automatically input from the data platform 400.
  • the purchase consideration issue display area A2 service information regarding the issue that the user is considering purchasing is displayed.
  • the purchase consideration brand display area A2 has a code display part, a brand name display part, an exchange name display part, a current price display part, and a trend display part.
  • the code display part is a part for displaying the stock code of the stock that the user is considering purchasing. Initially, the code display part is blank. The user can directly input the issue code information in the code display portion. Further, since the brand code and the brand name correspond to each other, if the brand name is known, the brand code information can be automatically input.
  • the brand name display part is a part for displaying the brand name of the brand that the user is considering purchasing. Initially, the brand name display part is blank. The user can directly input the brand name information in the brand name display portion. Further, since the brand code and the brand name correspond to each other, if the brand code is known, the brand name information can be automatically input.
  • the transaction name display part is a part for displaying the name of the exchange where the user can purchase the issue under consideration. Initially, the exchange name display part is blank. The user can directly input the information of the exchange name in the exchange name display portion. Alternatively, if the stock code or stock name is known, the exchange name information can be automatically entered from the data platform 400.
  • the trend display part is a part that displays the current stock price trend of the stock that the user is considering purchasing. If the stock code or stock name is known, the stock price trend can be acquired from the stock price trend prediction server 300, for example.
  • the stock price trend is displayed, for example, by displaying arrows indicating an uptrend, a downtrend, and no change.
  • the stock price trend may not be displayed by displaying an arrow.
  • the contents displayed in the owned brand display area A1 and the purchase consideration brand display area A2 may be changed appropriately. That is, a part of the contents displayed in the owned brand display area A1 and the purchase consideration brand display area A2 may be omitted, or another content is additionally displayed in the owned brand display area A1 and the purchase consideration brand display area A2. May be done.
  • step S15 the processing unit 2 determines whether or not there is an operation on the setting screen D by the user terminal 500. If it is determined in step S15 that an operation has been performed, the process proceeds to step S16. When it is determined in step S15 that there is no operation, the process proceeds to step S19.
  • step S16 the processing unit 2 determines whether the content of the operation is a setting confirmation operation.
  • the setting confirmation operation is selection of the watching setting button B.
  • step S17 the process proceeds to step S17.
  • step S18 the process proceeds to step S18.
  • step S17 the processing unit 2 controls the communication circuit 14 to send the service information set by the user to the service information management server 200.
  • the transmitted service information is stored in the storage 10 of the service information management server 200. Thereafter, the processing shifts to step S19.
  • step S18 the processing unit 2 sets service information according to the operation content of the user. For example, when the watching target check box is checked, the processing unit 2 sets the corresponding brand as the watching target. Further, when there is an input to the code display portion or the like of the purchase consideration brand display area A2, the processing unit 2 stores the input issue code and sets the corresponding issue as the purchase consideration issue. After these processes, the process proceeds to step S19.
  • step S19 the processing unit 2 determines whether to end the display of the setting screen. For example, it is determined that the display of the setting screen is terminated when the user performs a logoff operation. In addition, it may be determined that the display of the setting screen is ended when there is no user operation for a predetermined time. When it is determined in step S19 that the display of the setting screen is not ended, the process returns to step S15. When it is determined in step S19 that the display of the setting screen is to be ended, the processing unit 2 ends the processing of FIG.
  • step S20 when it is determined that there is no login request from the user terminal 500 in step S11, the processing unit 2 sets the purchase consideration issue based on the service information stored in the storage 10 of the service information management server 200. It is determined whether or not there is a brand that has been listed. When it is determined in step S20 that there is a brand set as the purchase consideration brand, the process proceeds to step S21. When it is determined in step S20 that there is no brand set as the purchase consideration brand, the process proceeds to step S22.
  • step S21 the processing unit 2 performs purchase determination processing.
  • the purchase determination process is a process of determining whether or not the purchase timing of the purchase consideration issue has arrived from the stock price trend of the purchase consideration issue. Details of the purchase determination process will be described later. After the purchase determination process, the process proceeds to step S22.
  • step S22 the processing unit 2 determines whether there is a stock set as a watching target based on the service information stored in the storage 10 of the service information management server 200. When it is determined in step S22 that there is a brand set as the watching target, the process proceeds to step S23. When it is determined in step S23 that there is no brand set as the watching target, the processing unit 2 ends the process of FIG.
  • step S23 the processing unit 2 performs a watching process.
  • the watching process is a process of performing a profit hold or a loss cut of the watch target issue from the stock price trend of the watch target issue. Details of the watching process will be described later. After the watching process, the processing unit 2 ends the process of FIG.
  • FIG. 6 is a flowchart showing the purchase determination process. The process of FIG. 6 is performed for each brand set as the brand to be purchased. The process of FIG. 6 may be performed not only when there is no login by the user but also during the login by the user.
  • step S31 the processing unit 2 of the stock price watching server 100 acquires the stock price trend of the target stock from the stock price trend prediction server 300. Then, the processing unit 2 determines whether the stock price trend of the target issue is an uptrend. When it is determined in step S31 that the stock price trend of the target issue is not an uptrend, the processing unit 2 ends the processing of FIG. In other words, if the stock price trend is not a rising trend, there is a high probability that no profit will be generated even if the target stock is purchased. Therefore, the processing unit 2 does not send a buy signal. When it is determined in step S31 that the stock price trend of the target issue is an upward trend, the process proceeds to step S32.
  • step S32 the processing unit 2 determines whether or not the reliability of prediction of the stock price trend of the target issue is a predetermined value (for example, 0.25) or more.
  • a predetermined value for example, 0.25
  • the processing unit 2 ends the processing of FIG. That is, the low reliability of the stock price trend prediction in step S32 means the low reliability of the prediction that the stock price trend is an uptrend. In this case, there is a possibility that no profit will be generated even if the target brand is purchased. Therefore, the processing unit 2 does not send a buy signal.
  • step S33 the process proceeds to step S33.
  • step S33 the processing unit 2 uses the communication circuit 14 to send a buy signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG.
  • the processing unit 2 of the service information management server 200 which has received the buy signal, notifies the user of the arrival of the purchase timing of the target brand by using, for example, an email or a message application. After that, when the target brand is purchased by the user, the service information related to the purchased brand is registered in the storage 10 of the service information management server 200.
  • FIG. 7 is a flowchart showing the watching process.
  • the process of FIG. 7 is performed for each brand set as a watching target.
  • the process of FIG. 7 may be performed not only when there is no login by the user but also during the login by the user.
  • step S41 the processing unit 2 of the stock price watching server 100 acquires the current stock price (current price) of the target stock from the data platform 400. Then, the processing unit 2 determines whether the current stock price of the target is below the stock price corresponding to the emergency loss cut point (second loss cut point).
  • the emergency loss cut point is a loss cut point having a larger price reduction range than the loss cut point set by the user, and is set regardless of the user's setting. For example, if the user can set the loss cut point (first loss cut point) in the range of 3% to 10%, the emergency loss cut point is 15%. Of course, the emergency loss cut point may be set to an arbitrary value having a larger price reduction range than the first loss cut point.
  • the stock price corresponding to the emergency loss cut point is calculated, for example, by subtracting the price obtained by multiplying the closing price on the previous day by the emergency loss cut point from the closing price on the previous day.
  • step S42 the processing unit 2 uses the communication circuit 14 to send a sell signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG. 7.
  • the processing unit 2 of the service information management server 200 which has received the sell signal, notifies the user that the sale timing of the target brand has come, for example, using an email or a message application.
  • step S43 the processing unit 2 resets the loss cut point of the target issue.
  • the loss cut points reset here are both the loss cut points (first loss cut points) and the emergency loss cut points (second loss cut points) set by the user.
  • the resetting of the loss cut point is a process of calculating the stock price corresponding to a new loss cut point by multiplying the current closing price by the loss cut point.
  • the processing unit 2 does not reset the loss cut point unless the newly calculated loss cut point exceeds the loss cut point before calculation. That is, when the current closing price is less than or equal to the past closing price, the loss cut point is not reset. In this case, the current loss cut point is maintained.
  • the reliability of the stock price trend prediction may be used as a weight. That is, the processing unit 2 may calculate the stock price corresponding to the new loss cut point by multiplying the current closing price by the loss cut point and the reliability. In this case, when the reliability of the prediction is low, the amount of resetting the loss cut point is small, and when the reliability of the prediction is high, the amount of resetting the loss cut point is large.
  • step S44 the processing unit 2 of the stock price watching server 100 acquires the stock price trend of the target stock from the stock price trend prediction server 300. Then, the processing unit 2 determines whether the stock price trend of the target issue is an uptrend. When it is determined in step S44 that the stock price trend of the target issue is an upward trend, the process proceeds to step S45. When it is determined in step S44 that the stock price trend of the target issue is not an uptrend, the processing unit 2 ends the processing of FIG. That is, when the stock price trend is an upward trend, the sell signal is not transmitted even if the current stock price falls below the loss cut point set by the user. This is because the stock price is expected to rise in the future. When the reliability of the prediction is low, the sell signal may be transmitted when the current stock price falls below the loss cut point set by the user even when the stock price trend is an uptrend.
  • step S45 the processing unit 2 determines whether the stock price trend of the target issue is a downtrend. When it is determined in step S45 that the stock price trend of the target issue is a downward trend, the process proceeds to step S46. When it is determined in step S45 that the stock price trend of the target issue is not a downtrend, the processing unit 2 ends the processing of FIG.
  • step S46 the processing unit 2 acquires the current stock price (current price) of the target stock from the data platform 400. Then, the processing unit 2 determines whether or not the target current stock price has fallen below the stock price corresponding to the loss cut point (first loss cut point) set by the user.
  • the stock price corresponding to the loss cut point is calculated by, for example, subtracting the price obtained by multiplying the previous day's closing price by the loss cut point from the previous day's closing price.
  • step S47 the processing unit 2 determines whether or not the reliability of prediction of the stock price trend of the target issue is a predetermined value (for example, 0.25) or more.
  • a predetermined value for example, 0.25
  • the processing unit 2 ends the processing of FIG. That is, the low reliability of the stock price trend prediction in step S47 means the low reliability of the downward trend prediction. In this case, the stock price of the target issue may rise. Therefore, the processing unit 2 does not send the sell signal.
  • step S48 the process proceeds to step S48.
  • step S48 the processing unit 2 uses the communication circuit 14 to send a sell signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG. 7.
  • the processing unit 2 of the service information management server 200 which has received the sell signal, notifies the user that the sale timing of the target brand has come, for example, using an email or a message application.
  • FIG. 8 is a diagram showing an example of the operation of the stock price watching service providing system of the embodiment.
  • the horizontal axis of FIG. 8 shows time.
  • the vertical axis of FIG. 8 indicates the stock price of the target issue. It is assumed that the user designates the target brand as a purchase consideration brand at a certain time T0.
  • the processing unit 2 of the stock price watching server 100 starts watching the stocks under consideration for purchase. Then, at time T1 when the stock price trend prediction server 300 predicts the stock price trend and the target stock goes up, the processing unit 2 of the stock price watching server 100 transmits a buy signal of the target stock.
  • the user Upon receiving notification of the timing of purchase, the user is expected to actually purchase the target issue.
  • the user purchases the target brand and designates the purchased brand as a target for monitoring.
  • the user sets the loss cut point to LCP1.
  • the emergency loss cut point is LCP2.
  • the processing unit 2 of the stock price watching server 100 starts watching the stock designated as the watching target.
  • the processing unit 2 of the stock watching server 100 rounds up the loss cut point LCP1 according to the actual price movement of the stock price SP of the stock to be watched.
  • the loss cut point LCP1 is rounded up when the stock price SP of the target issue rises.
  • the loss cut point LCP1 is not devalued even if the stock price SP of the target issue decreases. This is because the stock price trend is an upward trend and it is expected that the stock price will rise in the future. By rounding up the loss cut point LCP1 in this way, the profit of the user's sale is secured.
  • the processing unit 2 of the stock price watching server 100 sends a sell signal of the target stock regardless of the stock price trend. To do. This is a process for securing a minimum profit on sale of a user when a large stock price drop against the forecast occurs.
  • the processing unit 2 of the stock price watching server 100 determines whether the stock price SP of the target stock is below the loss cut point LCP1. Even when the stock price trend is a downward trend, the loss cut point LCP1 is rounded up when the stock price SP of the target issue increases. This is to secure the profit of sale to the user.
  • the processing unit 2 of the stock price watching server 100 sends a sell signal of the target stock. Since the selling signal is sent before the actual big stock price drop occurs, the profit of the user's sale is secured.
  • the timing of stock trading is determined based on the stock price trend predicted according to the stock price data, market condition data, and economic index data. For this reason, we have specialized knowledge in the decision to sell stock, which requires specialized knowledge in the past, such as buying stock at the time when it seems to be profitable and selling the stock before the loss occurs. Even users who have not done so can do it.
  • Prediction of stock price trends is performed using artificial intelligence, so the accuracy of prediction is higher than before.
  • by determining the timing of buying and selling stocks in consideration of the reliability of the forecast it is possible to reduce the risk of the forecast being wrong.
  • the stock trading timing is determined in consideration of the reliability of the prediction in addition to the prediction result of the stock price trend, but the reliability of the prediction of the stock price trend may not necessarily be considered.
  • the processing unit 2 of the stock price watching server 100 immediately sends a buy signal when the stock price trend of the stock to be purchased is changed to the up trend, and when the stock price trend is changed to the down trend and the stock price is below the loss cut point. You may send a sell signal immediately.
  • the loss cut point (first loss cut point) is set by the user.
  • the stock cut watching server 100 may recommend a loss cut point to the user.
  • the processing unit 2 of the stock price watching server 100 may recommend a large loss cut point for a stock with a large price movement, and may recommend a small loss cut point for a stock with a downward trend.

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Abstract

This information processing device is provided with a processing unit which: receives designation of a stock from a user; predicts a stock price trend for the designated stock on the basis of stock price data of the designated stock, market data representing trading situations of respective stocks, and economic indicator data representing economic statistics; determines a timing for buying or selling the designated stock according to the predicted stock price trend; and notifies the user of the determined timing for buying or selling.

Description

株式投資のための情報処理装置、情報処理方法及び情報処理プログラムを記録した記録媒体Information processing apparatus for stock investment, information processing method, and recording medium recording information processing program
　本発明は、株式投資のための情報処理装置、情報処理方法及び情報処理プログラムを記録した記録媒体に関する。 The present invention relates to an information processing device for stock investment, an information processing method, and a recording medium recording an information processing program.
　近年、インターネットを活用した株式取引が行われている。しかしながら、値上がりする銘柄を選定するには専門知識を用いた分析が必要であり、投資経験の浅い投資家では簡単に収益を上げることが困難である。近年、日本国特開２００５－２１６１８４号公報等において、このような専門知識を要する分析をコンピュータによって行うことで収益が上がるように投資家の投資活動をサポートするシステムも提案されてきている。 In recent years, stock trading using the Internet has been carried out. However, it is difficult to make profit easily by an investor who has little investment experience, because analysis using specialized knowledge is necessary to select a stock whose price increases. In recent years, Japanese Patent Laid-Open Publication No. 2005-216184 has proposed a system that supports an investor's investment activity so that a computer can perform such an analysis that requires specialized knowledge so as to increase profits.
　本発明は、投資経験の浅い投資家であっても、収益が上がる株式投資をより簡易に行うことができる株式投資のための情報処理装置、情報処理方法及び情報処理プログラムを記録した記録媒体を提供することを目的とする。 The present invention provides an information processing apparatus, an information processing method, and a recording medium for recording an information processing program for stock investment, which enables even an inexperienced investor to easily make a stock investment that makes a profit. The purpose is to provide.
　本発明の第１の態様の情報処理装置は、ユーザによる株式の銘柄の指定を受けつけ、指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させ、予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断し、判断した前記買いのタイミング又は前記売りのタイミングを前記ユーザに通知する処理部を具備する。 The information processing apparatus according to the first aspect of the present invention receives designation of a stock issue by a user, stock price data of the specified issue, market condition data indicating a trading situation of each stock, and an economic index indicating statistics about economy. Based on the data, the stock price trend of the specified issue is predicted, according to the predicted stock price trend, the timing of buying or selling the specified issue is determined, and the timing of the determined purchase Alternatively, a processing unit for notifying the user of the selling timing is provided.
　本発明の第２の態様の情報処理方法は、ユーザによる株式の銘柄の指定を受けつけることと、指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させることと、予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断することと、判断した前記買いのタイミング又は前記売りのタイミングを前記ユーザに通知することとを具備する。 The information processing method according to the second aspect of the present invention receives the designation of the stock issue by the user, and represents the stock price data of the designated issue, the market data showing the trading situation of each stock, and the statistics relating to the economy. Predicting the stock price trend of the specified stock based on the economic index data, and determining the timing of buying or selling the specified stock according to the predicted stock price trend; Notifying the user of the determined buying timing or selling timing.
　本発明の第３の態様の記録媒体は、ユーザによる株式の銘柄の指定を受けつけることと、指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させることと、予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断することと、判断した前記買いのタイミング又は前記売りのタイミングを前記ユーザに通知することとをコンピュータである処理部に実行させる情報処理プログラムを記録している。 The recording medium according to the third aspect of the present invention accepts designation of a stock brand by a user, stock price data of the designated brand, market data representing the trading status of each stock, and an economy representing statistics relating to the economy. Predicting the stock price trend of the specified stock based on the index data, and determining the timing of buying or selling the specified stock according to the predicted stock price trend, and An information processing program that causes a processing unit that is a computer to notify the user of the buying timing or the selling timing is recorded.
図１は、実施形態に係る情報処理装置を備えた株価見守りサービス提供システムの一例の構成を示す図である。FIG. 1 is a diagram illustrating a configuration of an example of a stock price watching service providing system including an information processing device according to an embodiment. 図２は、株価見守りサーバと、サービス情報管理サーバと、株価トレンド予測サーバと、データプラットフォームの、一例のハードウェア構成を示す図である。FIG. 2 is a diagram showing an example of a hardware configuration of a stock price watching server, a service information management server, a stock price trend prediction server, and a data platform. 図３は、株価トレンド予測サーバの動作を示すフローチャートである。FIG. 3 is a flowchart showing the operation of the stock price trend prediction server. 図４は、株価見守りサーバの動作を示すフローチャートである。FIG. 4 is a flowchart showing the operation of the stock price watching server. 図５は、設定画面の一例を示す図である。FIG. 5 is a diagram showing an example of the setting screen. 図６は、購入判断処理を示すフローチャートである。FIG. 6 is a flowchart showing the purchase determination process. 図７は、見守り処理について示すフローチャートである。FIG. 7 is a flowchart showing the watching process. 図８は、実施形態の株価見守りサービス提供システムの動作の一例を示す図である。FIG. 8: is a figure which shows an example of operation | movement of the stock price watching service provision system of embodiment.
　以下、図面を参照して実施形態を説明する。図１は、実施形態に係る情報処理装置を備えた株価見守りサービス提供システムの一例の構成を示す図である。株価見守りサービスとは、ユーザによって指定された銘柄の将来の値動きを株価トレンドとして予測し、予測した株価トレンドに基づいてユーザによって指定された銘柄の最適な買いのタイミング及び売りのタイミングをユーザに推奨するサービスである。株価見守りサービス提供システム１は、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００とを有する。ここで、図１では、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００とは別個のものとして示されている。株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００とは、単一のサーバとして構成されていてもよい。 Hereinafter, embodiments will be described with reference to the drawings. FIG. 1 is a diagram illustrating a configuration of an example of a stock price watching service providing system including an information processing device according to an embodiment. The stock price watching service predicts future price movements of the stock specified by the user as a stock price trend, and recommends to the user the optimal buying timing and selling timing of the stock specified by the user based on the predicted stock price trend. It is a service to do. The stock price watching service providing system 1 includes a stock price watching server 100, a service information management server 200, a stock price trend prediction server 300, and a data platform 400. Here, in FIG. 1, the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 are shown as separate components. The stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 may be configured as a single server.
　株価見守りサーバ１００は、サービス情報管理サーバ２００、株価トレンド予測サーバ３００、データプラットフォーム４００及びユーザ端末５００と通信できるように構成されている。この株価見守りサーバ１００は、例えばサービス情報設定部１０２と、シグナル発信部１０４と、ロスカットポイント（ＬＣ）管理部１０６とを有するサーバコンピュータである。 The stock price watching server 100 is configured to be able to communicate with the service information management server 200, the stock price trend prediction server 300, the data platform 400, and the user terminal 500. The stock price watching server 100 is, for example, a server computer including a service information setting unit 102, a signal transmission unit 104, and a loss cut point (LC) management unit 106.
　サービス情報設定部１０２は、株価の見守りの対象となる銘柄の設定をユーザから受け付ける。そして、サービス情報設定部１０２は、設定された情報をサービス情報としてサービス情報管理サーバ２００に送信する。サービス情報は、例えば、銘柄が見守りの対象であるか否かを示す情報、銘柄のロスカットポイント（第１のロスカットポイント）、銘柄コード、銘柄名、取引所名、現値、購入数量、評価額といった情報を含む。サービス情報は、これらの情報の中の一部の情報を含んでいなくてもよいし、これらの情報以外の別の情報を含んでいてもよい。 The service information setting unit 102 receives from the user the setting of the stock whose stock price is to be monitored. Then, the service information setting unit 102 transmits the set information as service information to the service information management server 200. The service information is, for example, information indicating whether or not a stock is a target of watching, a stock loss cut point (first loss cut point), a stock code, a stock name, an exchange name, a current price, a purchase quantity, and an evaluation amount. Such information is included. The service information does not have to include some of the information, or may include other information other than these information.
　シグナル発信部１０４は、ユーザによって指定された銘柄の株価トレンドの予測結果を株価トレンド予測サーバ３００から取得し、取得した株価トレンドの予測結果に基づいて買いシグナル又は売りシグナルをサービス情報管理サーバ２００に発信する。株価トレンドとは、株価の値動きが上げトレンドにあるか又は下げトレンドにあるかを示すものである。株価トレンドは、上げトレンドでも下げトレンドでもない状態を含んでいてもよい。 The signal transmission unit 104 acquires the stock price trend prediction result of the stock designated by the user from the stock price trend prediction server 300, and sends a buy signal or a sell signal to the service information management server 200 based on the acquired stock price trend prediction result. send. The stock price trend indicates whether the price movement of the stock price is in an upward trend or a downward trend. The stock price trend may include a state that is neither an uptrend nor a downtrend.
　ＬＣ管理部１０６は、ユーザによって指定された銘柄の株価トレンドと指定された銘柄の終値のデータとに基づいてロスカットポイント（第１のロスカットポイント）を設定する。ロスカットポイントは、指定された銘柄のロスカット（売り）のタイミングを判断するための値である。シグナル発信部１０４は、ユーザによって指定された銘柄が下げトレンドにあるときに、ＬＣ管理部１０６で設定されたロスカットポイントに基づいて売りのタイミングを判断する。 The LC management unit 106 sets a loss cut point (first loss cut point) based on the stock price trend of the stock designated by the user and the closing price data of the designated stock. The loss cut point is a value for determining the timing of loss cut (sale) of the designated brand. The signal transmission unit 104 determines the selling timing based on the loss cut point set by the LC management unit 106 when the brand specified by the user is in the downtrend.
　株価見守りサーバ１００とともに実施形態に係る情報処理装置を構成するサービス情報管理サーバ２００は、株価見守りサーバ１００及びユーザ端末５００と通信できるように構成されている。このサービス情報管理サーバ２００は、例えば設定情報管理部２０２と、シグナル配信管理部２０４と有するサーバコンピュータである。 The service information management server 200, which constitutes the information processing apparatus according to the embodiment together with the stock price watching server 100, is configured to be able to communicate with the stock price watching server 100 and the user terminal 500. The service information management server 200 is, for example, a server computer having a setting information management unit 202 and a signal distribution management unit 204.
　設定情報管理部２０２は、株価見守りサーバ１００で設定されたサービス情報をユーザ毎にストレージに記憶する。ストレージは、ハードディスクドライブ、ソリッドステートドライブ等を含む。サービス情報は、サービス情報管理サーバ２００から送信されるものに限らない。例えば、サービス情報管理サーバ２００を運営する証券会社において株式の購入がされた場合に、設定情報管理部２０２は、この購入された株式に関するサービス情報も記憶してよい。 The setting information management unit 202 stores the service information set by the stock price watching server 100 in the storage for each user. The storage includes a hard disk drive, a solid state drive and the like. The service information is not limited to that transmitted from the service information management server 200. For example, when stocks are purchased at a securities company that operates the service information management server 200, the setting information management unit 202 may also store service information regarding the purchased stocks.
　シグナル配信管理部２０４は、株価見守りサーバ１００から発信された買いシグナル又は売りシグナルに応じて、ユーザ端末５００に対して株式の購入又は売却のタイミングが到来したことを通知する。通知は、例えば電子メールによって行われる。または、ユーザ端末５００にメッセージアプリがインストールされている場合には、通知は、このメッセージアプリ上で行われてもよい。 The signal distribution management unit 204 notifies the user terminal 500 that the timing of purchasing or selling the stock has arrived, according to the buy signal or the sell signal transmitted from the stock price watching server 100. The notification is performed by e-mail, for example. Alternatively, when the message application is installed in the user terminal 500, the notification may be performed on this message application.
　株価トレンド予測サーバ３００は、株価見守りサーバ１００及びデータプラットフォーム４００と通信できるように構成されている。この株価トレンド予測サーバ３００は、例えばトレンド予測部３０２を有するサーバコンピュータである。 The stock price trend prediction server 300 is configured to be able to communicate with the stock price watching server 100 and the data platform 400. The stock price trend prediction server 300 is, for example, a server computer having a trend prediction unit 302.
　トレンド予測部３０２は、ユーザによって指定された銘柄の株価トレンドを予測し、株価トレンドの予測結果を株価見守りサーバ１００に対して出力する。株価トレンドは、株価の値動きの傾向を表している。株価トレンドは、上げトレンドの状態と下げトレンドの状態を含む。上げトレンドの状態は、時間平均で見て株価が上昇傾向にあると判断できる状態である。下げトレンドの状態は、時間平均で見て株価が下降傾向にあると判断できる状態である。上げトレンドでも下げトレンドでもない状態が含まれていてもよい。株価トレンドの予測は、例えば深層学習等によって株価トレンドの予測モデルを学習した人工知能（ＡＩ）によって行われる。この予測モデルは、株価データ、市況データ及び経済指標データといった投資分析に用いられるような株価と相関のあるデータに基づいて作成される。株価データは、各銘柄の株価の値動きの履歴データである。市況データは、株式の売買の状況を表すデータであって、ダウ平均株価、日経平均株価といったデータを含む。経済指標データは、経済に関する統計を表すものであって、各国の雇用統計、国内総生産（ＧＤＰ）といったデータを含む。なお、トレンド予測部３０２は、必ずしもＡＩによって株価トレンドの予測をするものでなくてもよい。例えば、トレンド予測部３０２は、株価の値動きの履歴を統計処理（平均化等）することによって株価トレンドを予測するものであってもよい。また、トレンド予測部３０２は、予測の信頼度を株価トレンドの予測結果とともに株価見守りサーバ１００に対して出力するように構成されていてもよい。例えば、ＡＩを用いた予測では、複数の予測結果の中から確率的に最も確からしい結果が出力される。この確率を信頼度として採用することができる。この場合、信頼度は０から１の範囲の値を持つ。 The trend prediction unit 302 predicts the stock price trend of the stock specified by the user, and outputs the stock price trend prediction result to the stock price watching server 100. The stock price trend represents the trend of stock price movements. The stock price trend includes an uptrend condition and a downtrend condition. The uptrend state is a state in which it can be judged that the stock price is in an upward trend on a time average basis. The downtrend state is a state in which it can be determined that the stock price is in a downtrend on the time average. It may include a state that is neither an uptrend nor a downtrend. The stock price trend prediction is performed by artificial intelligence (AI) that has learned a stock price trend prediction model by, for example, deep learning. This predictive model is created based on stock price data, market condition data, economic index data, and other data that is correlated with stock prices and is used for investment analysis. The stock price data is history data of the price movement of the stock price of each issue. The market data is data representing the status of stock trading and includes data such as the Dow average stock price and the Nikkei average stock price. The economic index data represents statistics on the economy and includes data such as employment statistics of each country and gross domestic product (GDP). The trend prediction unit 302 does not necessarily have to predict the stock price trend by AI. For example, the trend prediction unit 302 may predict the stock price trend by statistically processing (averaging, etc.) the history of stock price movements. The trend prediction unit 302 may be configured to output the reliability of the prediction to the stock price watching server 100 together with the stock price trend prediction result. For example, in the prediction using AI, the most probabilistic result is output from a plurality of prediction results. This probability can be adopted as the reliability. In this case, the reliability has a value in the range of 0 to 1.
　データプラットフォーム４００は、株価見守りサーバ１００及び株価トレンド予測サーバ３００と通信できるように構成されている。データプラットフォーム４００は、株価見守りサービス提供システム１で用いられ得る種々のデータをインターネット等のネットワークを介して収集し、収集したデータをストレージに蓄積するように環境が整備されたコンピュータシステムである。収集されるデータは株価データ４０２、市況データ４０４、経済指標データ４０６である。株価データ４０２は、各日の終値のデータと、リアルタイムの株価のデータとを含む。市況データ４０４は、各日の市況データを含む。経済指標データ４０６は、各日の経済指標のデータを含む。株価見守りサーバ１００及び株価トレンド予測サーバ３００は、必要なタイミングでデータプラットフォーム４００から必要なデータを取得する。なお、データプラットフォーム４００に用いられるストレージは、ハードディスクドライブ、ソリッドステートドライブ等、特に限定されるものではない。 The data platform 400 is configured to be able to communicate with the stock price watching server 100 and the stock price trend prediction server 300. The data platform 400 is a computer system provided with an environment in which various data that can be used in the stock price watching service providing system 1 is collected via a network such as the Internet and the collected data is stored in a storage. The collected data is stock price data 402, market condition data 404, and economic index data 406. Stock price data 402 includes closing price data for each day and real-time stock price data. Market data 404 includes market data for each day. The economic index data 406 includes data of economic indexes on each day. The stock price watching server 100 and the stock price trend prediction server 300 acquire necessary data from the data platform 400 at a necessary timing. The storage used for the data platform 400 is not particularly limited to a hard disk drive, a solid state drive, or the like.
　ユーザ端末５００は、スマートフォン及びパーソナルコンピュータ（ＰＣ）といった端末である。ユーザ端末５００は、インターフェイスと、通信回路とを備えた端末であれば特に限定されるものではない。 The user terminal 500 is a terminal such as a smartphone and a personal computer (PC). The user terminal 500 is not particularly limited as long as it is a terminal including an interface and a communication circuit.
　図２は、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００の、一例のハードウェア構成を示す図である。株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００は、一例として処理部２と、バス４と、ＲＡＭ６と、ＲＯＭ８と、ストレージ１０と、インターフェイス１２と、通信回路１４とを有する。 FIG. 2 is a diagram showing an example of a hardware configuration of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. The stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 include, as an example, the processing unit 2, the bus 4, the RAM 6, the ROM 8, the storage 10, the interface 12, and the And a communication circuit 14.
　処理部２は、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの動作を制御する。処理部２は、例えばＣＰＵ及びメモリといったハードウェアを有する。処理部２は、ＣＰＵの代わりにＡＳＩＣ、ＦＰＧＡ等を有していてもよい。処理部２は、必ずしも単独のＣＰＵ等によって構成されている必要はない。処理部２は、複数のＣＰＵ等によって説明する動作をするものであってもよい。 The processing unit 2 controls the respective operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. The processing unit 2 has hardware such as a CPU and a memory. The processing unit 2 may have an ASIC, an FPGA, or the like instead of the CPU. The processing unit 2 does not necessarily have to be configured by a single CPU or the like. The processing unit 2 may operate as described by a plurality of CPUs and the like.
　バス４は、処理部２、ＲＡＭ６、ＲＯＭ８、ストレージ１０、インターフェイス１２、通信回路１４に接続され、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの内部で発生した各種のデータを転送するための転送路である。 The bus 4 is connected to the processing unit 2, the RAM 6, the ROM 8, the storage 10, the interface 12, and the communication circuit 14, and each of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. Is a transfer path for transferring various kinds of data generated inside.
　ＲＡＭ６は、ＤＲＡＭ及びＳＲＡＭといった揮発性メモリであり、処理部２において処理されたデータ等を一時的に記憶する。 The RAM 6 is a volatile memory such as a DRAM and an SRAM, and temporarily stores the data processed by the processing unit 2 and the like.
　ＲＯＭ８は、フラッシュメモリといった不揮発性メモリであり、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの動作に必要な各種のパラメータを記憶する。ＲＯＭ８は、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの処理部２の動作に必要なプログラムを記憶していてもよい。 The ROM 8 is a non-volatile memory such as a flash memory, and stores various parameters necessary for each operation of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. The ROM 8 may store programs necessary for the operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the processing unit 2 of the data platform 400.
　ストレージ１０は、ハードディスクドライブ、ソリッドステートドライブ等であって、例えば株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの処理部２の動作に必要なプログラムを記憶している。ストレージ１０は、株価見守りサーバ１００と、サービス情報管理サーバ２００と、株価トレンド予測サーバ３００と、データプラットフォーム４００のそれぞれの動作に必要な各種のパラメータを記憶していてもよい。さらに、サービス情報管理サーバ２００のストレージ１０は、ユーザ毎のサービス情報を記憶している。また、データプラットフォーム４００のストレージ１０は、株価データ４０２、市況データ４０４、経済指標データ４０６を記憶している。 The storage 10 is a hard disk drive, a solid state drive, or the like, and is necessary for the operation of the respective processing units 2 of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400, for example. Remember the program. The storage 10 may store various parameters necessary for the operations of the stock price watching server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. Furthermore, the storage 10 of the service information management server 200 stores service information for each user. Further, the storage 10 of the data platform 400 stores stock price data 402, market condition data 404, and economic index data 406.
　インターフェイス１２は、入出力のためのインターフェイスである。例えば、インターフェイス１２は、キーボード、マウス、タッチパネルといった入力インターフェイスを含む。また、インターフェイス１２は、ディスプレイ、プリンタといった出力インターフェイスを含む。 The interface 12 is an interface for input / output. For example, the interface 12 includes an input interface such as a keyboard, a mouse, and a touch panel. The interface 12 also includes an output interface such as a display and a printer.
　通信回路１４は、通信のための通信インターフェイスを含む。この通信インターフェイスは、例えば、有線通信のための通信インターフェイス及び無線通信のための通信インターフェイスを含み得る。 The communication circuit 14 includes a communication interface for communication. The communication interface may include, for example, a communication interface for wired communication and a communication interface for wireless communication.
　以下、株価見守りサービス提供システム１の動作を説明する。図３は、株価トレンド予測サーバ３００の動作を示すフローチャートである。 The operation of the stock price watching service providing system 1 will be described below. FIG. 3 is a flowchart showing the operation of the stock price trend prediction server 300.
　ステップＳ１において、株価トレンド予測サーバ３００の処理部２は、株価トレンドの予測タイミングが到来したか否かを判定する。株価トレンドの予測タイミングは、例えば各日の証券取引の終了後といった予め決められたタイミングである。予測タイミングは、適宜に決められてよい。ステップＳ１において、予測タイミングが到来していないと判定されたときには、処理は待機される。ステップＳ１において、予測タイミングが到来したと判定されたときには、処理はステップＳ２に移行する。 In step S1, the processing unit 2 of the stock price trend prediction server 300 determines whether the stock price trend prediction timing has come. The stock price trend is predicted at a predetermined timing, for example, after the end of securities trading on each day. The prediction timing may be appropriately determined. If it is determined in step S1 that the prediction timing has not arrived, the process is on standby. When it is determined in step S1 that the prediction timing has arrived, the process proceeds to step S2.
　ステップＳ２において、処理部２は、データプラットフォーム４００から、現時点で取引が行われている各銘柄の株価データと、現時点での市況データと、現時点での経済指標データとを取得する。 In step S2, the processing unit 2 acquires, from the data platform 400, the stock price data of each stock currently traded, the current market condition data, and the current economic index data.
　ステップＳ３において、処理部２は、株価データと、市況データと、経済指標データとに基づいて、予め定めた期間内、例えば１日の各銘柄の株価トレンドを予測する。この期間は、１日である必要はなく、１週間、１か月といった期間であってもよい。 In step S3, the processing unit 2 predicts the stock price trend of each stock, for example, for one day within a predetermined period based on the stock price data, market data, and economic index data. This period does not have to be one day, and may be one week, one month, or the like.
　ステップＳ４において、処理部２は、通信回路１４を用いて、予測した株価トレンドのデータのうちの株価見守りサーバ１００によって指定された株価トレンドのデータを、この株価トレンドの予測の信頼度のデータとともに株価見守りサーバ１００に送信する。その後、処理はステップＳ１に戻る。 In step S4, the processing unit 2 uses the communication circuit 14 to calculate the stock price trend data specified by the stock price watching server 100 from the predicted stock price trend data together with the reliability data of the stock price trend prediction. The stock price is monitored and transmitted to the server 100. Then, the process returns to step S1.
　図４は、株価見守りサーバ１００の動作を示すフローチャートである。ステップＳ１１において、株価見守りサーバ１００の処理部２は、株価見守りサービスの利用のためのユーザ端末５００からのログイン要求があるか否かを判定する。ユーザは、自己の保有する株式の株価の見守りの設定をするときにユーザ端末５００を操作して株価見守りサーバ１００にアクセスする。このアクセスが検知されたときに、ユーザ端末５００からのログイン要求があると判定される。ステップＳ１１において、ユーザ端末５００からのログイン要求があったと判定されたときに、処理はステップＳ１２に移行する。ステップＳ１１において、ユーザ端末５００からのログイン要求がないと判定されたときに、処理はステップＳ２０に移行する。 FIG. 4 is a flowchart showing the operation of the stock price watching server 100. In step S11, the processing unit 2 of the stock price watching server 100 determines whether or not there is a login request from the user terminal 500 for using the stock price watching service. The user operates the user terminal 500 to access the stock price watching server 100 when setting the stock price watching of the stock held by the user. When this access is detected, it is determined that there is a login request from the user terminal 500. When it is determined in step S11 that there is a login request from the user terminal 500, the process proceeds to step S12. When it is determined in step S11 that there is no login request from the user terminal 500, the process proceeds to step S20.
　ステップＳ１２において、処理部２は、ログイン画面を表示させるためのデータをユーザ端末５００に対して転送する。このデータを受けてユーザ端末５００のディスプレイには、ログイン画面が表示される。ログイン画面は、例えばユーザ毎に設定されたＩＤとパスワードとを要求する画面である。ログインは、必ずしもＩＤとパスワードとによって行われなくてもよい。ログイン画面の表示後、処理はステップＳ１３に移行する。 In step S12, the processing unit 2 transfers the data for displaying the login screen to the user terminal 500. Upon receiving this data, the login screen is displayed on the display of the user terminal 500. The login screen is, for example, a screen requesting an ID and password set for each user. Login does not necessarily have to be performed using the ID and password. After displaying the login screen, the process proceeds to step S13.
　ステップＳ１３において、処理部２は、認証が正しく行われたか否かを判定する。例えば、入力されたＩＤ及びパスワードが予め登録されているＩＤ及びパスワードと一致したときには、認証が正しく行われたと判定される。ステップＳ１３において、認証が正しく行われたと判定されたときには、処理はステップＳ１４に移行する。ステップＳ１３において、認証が正しく行われていないと判定されたときには、処理は待機される。所定回数、認証が正しく行われなかった場合に、ログインできなくする等の処理が行われてもよい。 In step S13, the processing unit 2 determines whether or not the authentication has been correctly performed. For example, when the input ID and password match the previously registered ID and password, it is determined that the authentication has been performed correctly. When it is determined in step S13 that the authentication has been correctly performed, the process proceeds to step S14. When it is determined in step S13 that the authentication is not correctly performed, the process is on standby. If authentication is not correctly performed a predetermined number of times, processing such as prohibiting login may be performed.
　ステップＳ１４において、処理部２は、設定画面を表示させるためのデータをユーザ端末５００に対して転送する。このデータを受けてユーザ端末５００のディスプレイには、設定画面が表示される。 In step S14, the processing unit 2 transfers the data for displaying the setting screen to the user terminal 500. Upon receiving this data, the setting screen is displayed on the display of the user terminal 500.
　図５は、設定画面の一例を示す図である。一例の設定画面Ｄは、保有銘柄表示領域Ａ１と、購入検討銘柄表示領域Ａ２とを有している。また、一例の設定画面Ｄは、見守り設定ボタンＢを有している。見守り設定ボタンＢが選択されたとき、設定画面Ｄにおいて設定された内容が確定される。そして、設定画面Ｄにおいて設定された内容がサービス情報としてサービス情報管理サーバ２００のストレージ１０に記憶される。 FIG. 5 is a diagram showing an example of the setting screen. The setting screen D of an example has a holding brand display area A1 and a purchase consideration brand display area A2. Further, the example setting screen D has a watching setting button B. When the watching setting button B is selected, the contents set on the setting screen D are confirmed. Then, the contents set on the setting screen D are stored in the storage 10 of the service information management server 200 as service information.
　保有銘柄表示領域Ａ１は、ユーザが現時点で保有している銘柄に関するサービス情報が表示される。保有銘柄表示領域Ａ１は、見守り対象チェックボックス、ロスカットポイント（ＬＣＰ）設定部分、コード表示部分、銘柄名表示部分、取引所名表示部分、現値表示部分、数量表示部分、評価額表示部分を有している。 The owned brand display area A1 displays service information related to the brand currently owned by the user. The holding stock display area A1 has a monitoring target check box, a loss cut point (LCP) setting part, a code display part, a stock name display part, an exchange name display part, a current price display part, a quantity display part, and an evaluation amount display part. are doing.
　見守り対象チェックボックスは、ユーザの保有している銘柄を見守り対象にするか否かを設定するためのチェックボックスである。ユーザにより見守り対象チェックボックスにチェックが入れられると、対応する銘柄は見守り対象になる。 The watch target check box is a check box for setting whether or not to monitor the stocks held by the user. When the user checks the watching target check box, the corresponding brand becomes the watching target.
　ＬＣＰ設定部分は、第１のロスカットポイントを設定するための部分である。ユーザによりＬＣＰ設定部分が選択されると、例えば、３％、７％、１０％といったロスカットポイントを選択するためのドロップダウンリストが表示される。ユーザは、ドロップダウンリストの中から所望のロスカットポイントを選択し得る。ロスカットポイントは、ドロップダウンリストによる選択ではなく、ＬＣＰ設定部分への直接入力によって設定されてもよい。 The LCP setting part is a part for setting the first loss cut point. When the LCP setting portion is selected by the user, a drop-down list for selecting a loss cut point such as 3%, 7%, or 10% is displayed. The user can select the desired loss cut point from the drop down list. The loss cut point may be set by direct input to the LCP setting portion instead of being selected by the drop-down list.
　コード表示部分は、ユーザが保有している銘柄の銘柄コードを表示するための部分である。保有している銘柄の銘柄コードの情報がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の銘柄コードの情報が取得されてコード表示部分に表示される。一方、ユーザが保有している銘柄であっても、銘柄コードの情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、コード表示部分は空欄になる。この場合、ユーザは、コード表示部分に銘柄コードの情報を直接入力できる。また、銘柄コードと銘柄名とは対応しているので、銘柄名が既知であれば、銘柄コードの情報は自動入力され得る。 The code display part is a part for displaying the stock code of the stock held by the user. When the information about the stock code of the stock held is stored in the storage 10 of the service information management server 200, the information about the stock code of the stock held is obtained from the storage 10 of the service information management server 200. Will be displayed in the code display area. On the other hand, even if the brand is owned by the user, if the code of the brand code is not stored in the storage 10 of the service information management server 200, the code display portion is blank. In this case, the user can directly input the information of the issue code on the code display portion. Further, since the brand code and the brand name correspond to each other, if the brand name is known, the brand code information can be automatically input.
　銘柄名表示部分は、ユーザが保有している銘柄の銘柄名を表示するための部分である。保有している銘柄の銘柄名の情報がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の銘柄名の情報が取得されて銘柄名表示部分に表示される。一方、ユーザが保有している銘柄であっても、銘柄名の情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、銘柄名表示部分は空欄になる。この場合、ユーザは、銘柄名表示部分に銘柄名の情報を直接入力できる。また、銘柄コードと銘柄名とは対応しているので、銘柄コードが既知であれば、銘柄名の情報は自動入力され得る。 The brand name display part is a part for displaying the brand name of the brand owned by the user. When the information on the brand name of the brand owned is stored in the storage 10 of the service information management server 200, the information on the brand name of the brand owned is acquired from the storage 10 of the service information management server 200. Is displayed in the stock name display area. On the other hand, even if the brand is owned by the user, if the brand name information is not stored in the storage 10 of the service information management server 200, the brand name display portion is blank. In this case, the user can directly input the brand name information in the brand name display portion. Further, since the brand code and the brand name correspond to each other, if the brand code is known, the brand name information can be automatically input.
　取引所名表示部分は、ユーザが保有している銘柄を購入した取引所名を表示するための部分である。保有している銘柄の取引所名がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の取引所名の情報が取得されて取引所名表示部分に表示される。一方、ユーザが保有している銘柄であっても、取引所名の情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、取引所名表示部分は空欄になる。この場合、ユーザは、取引所名表示部分に取引所名の情報を直接入力できる。または、銘柄コード又は銘柄名が既知であれば、取引所名の情報はデータプラットフォーム４００から自動入力され得る。 The exchange name display part is a part for displaying the name of the exchange that purchased the brand owned by the user. When the stock exchange name of the stock held is stored in the storage 10 of the service information management server 200, the stock trade name information of the stock held is obtained from the storage 10 of the service information management server 200. Is displayed in the exchange name display area. On the other hand, even if the brand is owned by the user, if the exchange name information is not stored in the storage 10 of the service information management server 200, the exchange name display portion is blank. In this case, the user can directly input the exchange name information in the exchange name display portion. Alternatively, if the stock code or stock name is known, the exchange name information can be automatically entered from the data platform 400.
　現値表示部分は、ユーザが保有している銘柄の現在の株価を表示するための部分である。保有している銘柄の現値の情報がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の現値の情報が取得されて現値表示部分に表示される。一方、ユーザが保有している銘柄であっても、現値の情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、現値表示部分は空欄になる。この場合、ユーザは、現値表示部分に現値の情報を直接入力できる。また、銘柄コード又は銘柄名が既知であれば、現値の情報はデータプラットフォーム４００から自動入力され得る。 The current price display part is a part for displaying the current stock price of the stock held by the user. When the information on the current value of the stock held is stored in the storage 10 of the service information management server 200, the information on the current value of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the current value display area. On the other hand, even if the brand is owned by the user, if the current price information is not stored in the storage 10 of the service information management server 200, the current price display portion is blank. In this case, the user can directly input the current value information in the current value display portion. If the brand code or brand name is known, the current value information can be automatically input from the data platform 400.
　数量表示部分は、ユーザが保有している銘柄の現在の購入数量を表示するための部分である。保有している銘柄の数量の情報がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の数量が取得されて数量表示部分に表示される。一方、ユーザが保有している銘柄であっても、数量の情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、数量表示部分は空欄になる。この場合、ユーザは、数量表示部分に数量の情報を直接入力できる。または、銘柄コード又は銘柄名が既知であれば、数量の情報はデータプラットフォーム４００から自動入力され得る。 The quantity display part is a part for displaying the current purchase quantity of the stock held by the user. When the information on the quantity of the stocks held is stored in the storage 10 of the service information management server 200, the quantity of the stocks held is acquired from the storage 10 of the service information management server 200 and the quantity display portion is displayed. Is displayed in. On the other hand, even if the brand is owned by the user, if the quantity information is not stored in the storage 10 of the service information management server 200, the quantity display portion is blank. In this case, the user can directly input the quantity information in the quantity display portion. Alternatively, if the brand code or brand name is known, quantity information can be automatically input from the data platform 400.
　評価額表示部分は、ユーザが保有している銘柄の現在の評価額を表示するための部分である。保有している銘柄の評価額の情報がサービス情報管理サーバ２００のストレージ１０に記憶されている場合には、サービス情報管理サーバ２００のストレージ１０から保有している銘柄の評価額の情報が取得されて評価額表示部分に表示される。一方、ユーザが保有している銘柄であっても、評価額の情報がサービス情報管理サーバ２００のストレージ１０に記憶されていない場合には、評価額表示部分は空欄になる。この場合、ユーザは、評価額表示部分に評価額の情報を直接入力できる。または、評価額は現値と数量の積で表されるので、これらの値が既知であれば評価額は自動的に入力され得る。または、銘柄コード又は銘柄名が既知であれば、評価額の情報はデータプラットフォーム４００から自動入力され得る。 The evaluation amount display part is a part for displaying the current evaluation amount of the stock held by the user. When the information on the evaluation value of the stock held is stored in the storage 10 of the service information management server 200, the information on the evaluation value of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the valuation display area. On the other hand, even if the brand is owned by the user, if the evaluation amount information is not stored in the storage 10 of the service information management server 200, the evaluation amount display portion is blank. In this case, the user can directly input the information on the evaluation amount in the evaluation amount display portion. Alternatively, since the valuation amount is represented by the product of the present value and the quantity, the valuation amount can be automatically input if these values are known. Alternatively, if the brand code or brand name is known, the information on the evaluation amount can be automatically input from the data platform 400.
　購入検討銘柄表示領域Ａ２は、ユーザが購入を検討している銘柄に関するサービス情報が表示される。購入検討銘柄表示領域Ａ２は、コード表示部分、銘柄名表示部分、取引所名表示部分、現値表示部分、トレンド表示部分を有している。 In the purchase consideration issue display area A2, service information regarding the issue that the user is considering purchasing is displayed. The purchase consideration brand display area A2 has a code display part, a brand name display part, an exchange name display part, a current price display part, and a trend display part.
　コード表示部分は、ユーザが購入を検討している銘柄の銘柄コードを表示するための部分である。最初は、コード表示部分は空欄になっている。ユーザは、コード表示部分に銘柄コードの情報を直接入力できる。また、銘柄コードと銘柄名とは対応しているので、銘柄名が既知であれば、銘柄コードの情報は自動入力され得る。 The code display part is a part for displaying the stock code of the stock that the user is considering purchasing. Initially, the code display part is blank. The user can directly input the issue code information in the code display portion. Further, since the brand code and the brand name correspond to each other, if the brand name is known, the brand code information can be automatically input.
　銘柄名表示部分は、ユーザが購入を検討している銘柄の銘柄名を表示するための部分である。最初は、銘柄名表示部分は空欄になっている。ユーザは、銘柄名表示部分に銘柄名の情報を直接入力できる。また、銘柄コードと銘柄名とは対応しているので、銘柄コードが既知であれば、銘柄名の情報は自動入力され得る。 The brand name display part is a part for displaying the brand name of the brand that the user is considering purchasing. Initially, the brand name display part is blank. The user can directly input the brand name information in the brand name display portion. Further, since the brand code and the brand name correspond to each other, if the brand code is known, the brand name information can be automatically input.
　取引名表示部分は、ユーザが購入を検討している銘柄を購入できる取引所名を表示するための部分である。最初は、取引所名表示部分は空欄になっている。ユーザは、取引所名表示部分に取引所名の情報を直接入力できる。または、銘柄コード又は銘柄名が既知であれば、取引所名の情報はデータプラットフォーム４００から自動入力され得る。 The transaction name display part is a part for displaying the name of the exchange where the user can purchase the issue under consideration. Initially, the exchange name display part is blank. The user can directly input the information of the exchange name in the exchange name display portion. Alternatively, if the stock code or stock name is known, the exchange name information can be automatically entered from the data platform 400.
　トレンド表示部分は、ユーザが購入を検討している銘柄の現在の株価トレンドを表示する部分である。銘柄コード又は銘柄名が既知であれば、株価トレンドは、例えば株価トレンド予測サーバ３００から取得され得る。株価トレンドの表示は、例えば上げトレンド、下げトレンド、変化なしのそれぞれを表す矢印を表示させることで行われる。株価トレンドの表示は、矢印を表示によって行われなくてもよい。 The trend display part is a part that displays the current stock price trend of the stock that the user is considering purchasing. If the stock code or stock name is known, the stock price trend can be acquired from the stock price trend prediction server 300, for example. The stock price trend is displayed, for example, by displaying arrows indicating an uptrend, a downtrend, and no change. The stock price trend may not be displayed by displaying an arrow.
　また、保有銘柄表示領域Ａ１と購入検討銘柄表示領域Ａ２に表示される内容は適宜に変更され得る。つまり、保有銘柄表示領域Ａ１と購入検討銘柄表示領域Ａ２に表示される内容の一部は省略されてもよいし、保有銘柄表示領域Ａ１と購入検討銘柄表示領域Ａ２に別の内容が追加で表示されてもよい。 Also, the contents displayed in the owned brand display area A1 and the purchase consideration brand display area A2 may be changed appropriately. That is, a part of the contents displayed in the owned brand display area A1 and the purchase consideration brand display area A2 may be omitted, or another content is additionally displayed in the owned brand display area A1 and the purchase consideration brand display area A2. May be done.
　ここで、図４の説明に戻る。ステップＳ１５において、処理部２は、ユーザ端末５００による設定画面Ｄ上での操作があったか否かを判定する。ステップＳ１５において、操作があったと判定されたときには、処理はステップＳ１６に移行する。ステップＳ１５において、操作がないと判定されたときには、処理はステップＳ１９に移行する。 Now, return to the explanation of FIG. In step S15, the processing unit 2 determines whether or not there is an operation on the setting screen D by the user terminal 500. If it is determined in step S15 that an operation has been performed, the process proceeds to step S16. When it is determined in step S15 that there is no operation, the process proceeds to step S19.
　ステップＳ１６において、処理部２は、操作の内容が設定の確定操作であるか否かを判定する。例えば、設定の確定操作は見守り設定ボタンＢの選択である。ステップＳ１６において、操作の内容が設定の確定操作であると判定されたときには、処理はステップＳ１７に移行する。ステップＳ１６において、操作の内容が設定の確定操作でないと判定されたときには、処理はステップＳ１８に移行する。 In step S16, the processing unit 2 determines whether the content of the operation is a setting confirmation operation. For example, the setting confirmation operation is selection of the watching setting button B. When it is determined in step S16 that the operation content is a setting confirmation operation, the process proceeds to step S17. When it is determined in step S16 that the content of the operation is not the setting confirmation operation, the process proceeds to step S18.
　ステップＳ１７において、処理部２は、通信回路１４を制御して、ユーザによって設定されたサービス情報をサービス情報管理サーバ２００に送信する。送信されたサービス情報は、サービス情報管理サーバ２００のストレージ１０に記憶される。その後、処理はステップＳ１９に移行する。 In step S17, the processing unit 2 controls the communication circuit 14 to send the service information set by the user to the service information management server 200. The transmitted service information is stored in the storage 10 of the service information management server 200. Thereafter, the processing shifts to step S19.
　ステップＳ１８において、処理部２は、ユーザの操作内容に従ってサービス情報を設定する。例えば、見守り対象チェックボックスにチェックが入れられたときには、処理部２は、対応する銘柄を見守り対象に設定する。また、購入検討銘柄表示領域Ａ２のコード表示部分等への入力があったときには、処理部２は、入力された銘柄コードを記憶するとともに、対応する銘柄を購入検討銘柄に設定する。これらの処理の後、処理はステップＳ１９に移行する。 In step S18, the processing unit 2 sets service information according to the operation content of the user. For example, when the watching target check box is checked, the processing unit 2 sets the corresponding brand as the watching target. Further, when there is an input to the code display portion or the like of the purchase consideration brand display area A2, the processing unit 2 stores the input issue code and sets the corresponding issue as the purchase consideration issue. After these processes, the process proceeds to step S19.
　ステップＳ１９において、処理部２は、設定画面の表示を終了するか否かを判定する。例えば、ユーザによってログオフの操作がなされた場合に設定画面の表示を終了すると判定される。このほか、所定の時間、ユーザの操作がない場合には設定画面の表示を終了すると判定されてもよい。ステップＳ１９において、設定画面の表示を終了しないと判定されたときには、処理はステップＳ１５に戻る。ステップＳ１９において、設定画面の表示を終了すると判定されたときには、処理部２は、図４の処理を終了する。 In step S19, the processing unit 2 determines whether to end the display of the setting screen. For example, it is determined that the display of the setting screen is terminated when the user performs a logoff operation. In addition, it may be determined that the display of the setting screen is ended when there is no user operation for a predetermined time. When it is determined in step S19 that the display of the setting screen is not ended, the process returns to step S15. When it is determined in step S19 that the display of the setting screen is to be ended, the processing unit 2 ends the processing of FIG.
　ステップＳ１１においてユーザ端末５００からのログイン要求がないと判定されたときのステップＳ２０において、処理部２は、サービス情報管理サーバ２００のストレージ１０に記憶されているサービス情報に基づき、購入検討銘柄に設定されている銘柄があるか否かを判定する。ステップＳ２０において、購入検討銘柄に設定されている銘柄があると判定されたときに、処理はステップＳ２１に移行する。ステップＳ２０において、購入検討銘柄に設定されている銘柄がないと判定されたときに、処理はステップＳ２２に移行する。 In step S20 when it is determined that there is no login request from the user terminal 500 in step S11, the processing unit 2 sets the purchase consideration issue based on the service information stored in the storage 10 of the service information management server 200. It is determined whether or not there is a brand that has been listed. When it is determined in step S20 that there is a brand set as the purchase consideration brand, the process proceeds to step S21. When it is determined in step S20 that there is no brand set as the purchase consideration brand, the process proceeds to step S22.
　ステップＳ２１において、処理部２は、購入判断処理を行う。購入判断処理は、購入検討銘柄の株価トレンドから、購入検討銘柄の購入タイミングが到来したか否かを判断する処理である。購入判断処理の詳細については後で説明する。購入判断処理の後、処理はステップＳ２２に移行する。 In step S21, the processing unit 2 performs purchase determination processing. The purchase determination process is a process of determining whether or not the purchase timing of the purchase consideration issue has arrived from the stock price trend of the purchase consideration issue. Details of the purchase determination process will be described later. After the purchase determination process, the process proceeds to step S22.
　ステップＳ２２において、処理部２は、サービス情報管理サーバ２００のストレージ１０に記憶されているサービス情報に基づき、見守り対象に設定されている銘柄があるか否かを判定する。ステップＳ２２において、見守り対象に設定されている銘柄があると判定されたときに、処理はステップＳ２３に移行する。ステップＳ２３において、見守り対象に設定されている銘柄がないと判定されたときに、処理部２は、図４の処理を終了する。 In step S22, the processing unit 2 determines whether there is a stock set as a watching target based on the service information stored in the storage 10 of the service information management server 200. When it is determined in step S22 that there is a brand set as the watching target, the process proceeds to step S23. When it is determined in step S23 that there is no brand set as the watching target, the processing unit 2 ends the process of FIG.
　ステップＳ２３において、処理部２は、見守り処理を行う。見守り処理は、見守り対象の銘柄の株価トレンドから、見守り対象の銘柄のプロフィットホールド又はロスカットを行う処理である。見守り処理の詳細については後で説明する。見守り処理の後、処理部２は、図４の処理を終了する。 In step S23, the processing unit 2 performs a watching process. The watching process is a process of performing a profit hold or a loss cut of the watch target issue from the stock price trend of the watch target issue. Details of the watching process will be described later. After the watching process, the processing unit 2 ends the process of FIG.
　図６は、購入判断処理を示すフローチャートである。図６の処理は、購入対象銘柄に設定されている各銘柄について行われる。図６の処理は、ユーザによるログインがないときだけでなく、ユーザによるログイン中にも行われてよい。 FIG. 6 is a flowchart showing the purchase determination process. The process of FIG. 6 is performed for each brand set as the brand to be purchased. The process of FIG. 6 may be performed not only when there is no login by the user but also during the login by the user.
　ステップＳ３１において、株価見守りサーバ１００の処理部２は、株価トレンド予測サーバ３００から、対象の銘柄の株価トレンドを取得する。そして、処理部２は、対象の銘柄の株価トレンドが上げトレンドであるか否かを判定する。ステップＳ３１において、対象の銘柄の株価トレンドが上げトレンドでないと判定されたときには、処理部２は、図６の処理を終了する。つまり、株価トレンドが上げトレンドでない場合には、対象の銘柄が購入されても利益が出ない可能性が高い。したがって、処理部２は、買いシグナルを発信しない。ステップＳ３１において、対象の銘柄の株価トレンドが上げトレンドであると判定されたときには、処理はステップＳ３２に移行する。 In step S31, the processing unit 2 of the stock price watching server 100 acquires the stock price trend of the target stock from the stock price trend prediction server 300. Then, the processing unit 2 determines whether the stock price trend of the target issue is an uptrend. When it is determined in step S31 that the stock price trend of the target issue is not an uptrend, the processing unit 2 ends the processing of FIG. In other words, if the stock price trend is not a rising trend, there is a high probability that no profit will be generated even if the target stock is purchased. Therefore, the processing unit 2 does not send a buy signal. When it is determined in step S31 that the stock price trend of the target issue is an upward trend, the process proceeds to step S32.
　ステップＳ３２において、処理部２は、対象の銘柄の株価トレンドの予測の信頼度が所定値（例えば０．２５）以上であるか否かを判定する。ステップＳ３２において、対象の銘柄の株価トレンドの予測の信頼度が所定値以上でないと判定されたときには、処理部２は、図６の処理を終了する。つまり、ステップＳ３２において株価トレンドの予測の信頼度が低いことは、上げトレンドであるという予測の信頼度が低いことを意味する。この場合に対象の銘柄が購入されても利益が出ない可能性がある。したがって、処理部２は、買いシグナルを発信しない。ステップＳ３２において、対象の銘柄の株価トレンドの予測の信頼度が所定値以上であると判定されたときには、処理はステップＳ３３に移行する。 In step S32, the processing unit 2 determines whether or not the reliability of prediction of the stock price trend of the target issue is a predetermined value (for example, 0.25) or more. When it is determined in step S32 that the reliability of prediction of the stock price trend of the target issue is not equal to or higher than the predetermined value, the processing unit 2 ends the processing of FIG. That is, the low reliability of the stock price trend prediction in step S32 means the low reliability of the prediction that the stock price trend is an uptrend. In this case, there is a possibility that no profit will be generated even if the target brand is purchased. Therefore, the processing unit 2 does not send a buy signal. When it is determined in step S32 that the reliability of prediction of the stock price trend of the target issue is equal to or higher than the predetermined value, the process proceeds to step S33.
　ステップＳ３３において、処理部２は、通信回路１４を用いてサービス情報管理サーバ２００に対して対象の銘柄についての買いシグナルを発信する。その後、処理部２は、図６の処理を終了する。買いシグナルを受けたサービス情報管理サーバ２００の処理部２は、ユーザに対して対象の銘柄の購入タイミングが到来したことを、例えば電子メール又はメッセージアプリを用いて通知する。その後、ユーザによって対象の銘柄が購入された場合には、サービス情報管理サーバ２００のストレージ１０に購入された銘柄に関するサービス情報が登録される。 In step S33, the processing unit 2 uses the communication circuit 14 to send a buy signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG. The processing unit 2 of the service information management server 200, which has received the buy signal, notifies the user of the arrival of the purchase timing of the target brand by using, for example, an email or a message application. After that, when the target brand is purchased by the user, the service information related to the purchased brand is registered in the storage 10 of the service information management server 200.
　図７は、見守り処理について示すフローチャートである。図７の処理は、見守り対象に設定されている各銘柄について行われる。図７の処理は、ユーザによるログインがないときだけでなく、ユーザによるログイン中にも行われてよい。 FIG. 7 is a flowchart showing the watching process. The process of FIG. 7 is performed for each brand set as a watching target. The process of FIG. 7 may be performed not only when there is no login by the user but also during the login by the user.
　ステップＳ４１において、株価見守りサーバ１００の処理部２は、データプラットフォーム４００から対象の銘柄の現在の株価（現値）を取得する。そして、処理部２は、対象の現在の株価が緊急ロスカットポイント（第２のロスカットポイント）に相当する株価を下回ったか否かを判定する。緊急ロスカットポイントは、ユーザによって設定されるロスカットポイントよりも値下がり幅の大きいロスカットポイントであって、ユーザの設定によらずに設定される。例えば、ユーザが３％から１０％の幅でロスカットポイント（第１のロスカットポイント）を設定できるとすると、緊急ロスカットポイントは１５％である。勿論、緊急ロスカットポイントは、第１のロスカットポイントよりも値下がり幅の大きい任意の値に設定されてよい。なお、緊急ロスカットポイントに相当する株価は、例えば、前日の終値に緊急ロスカットポイントを乗じた価格を前日の終値から引くことによって算出される。ステップＳ４１において、対象の現在の株価が緊急ロスカットポイントに相当する株価を下回ったと判定されたときには、処理はステップＳ４２に移行する。ステップＳ４１において、対象の現在の株価が緊急ロスカットポイントに相当する株価を下回っていないと判定されたときには、処理はステップＳ４３に移行する。 In step S41, the processing unit 2 of the stock price watching server 100 acquires the current stock price (current price) of the target stock from the data platform 400. Then, the processing unit 2 determines whether the current stock price of the target is below the stock price corresponding to the emergency loss cut point (second loss cut point). The emergency loss cut point is a loss cut point having a larger price reduction range than the loss cut point set by the user, and is set regardless of the user's setting. For example, if the user can set the loss cut point (first loss cut point) in the range of 3% to 10%, the emergency loss cut point is 15%. Of course, the emergency loss cut point may be set to an arbitrary value having a larger price reduction range than the first loss cut point. The stock price corresponding to the emergency loss cut point is calculated, for example, by subtracting the price obtained by multiplying the closing price on the previous day by the emergency loss cut point from the closing price on the previous day. When it is determined in step S41 that the current stock price of the target is below the stock price corresponding to the emergency loss cut point, the process proceeds to step S42. When it is determined in step S41 that the current stock price of the target is not below the stock price corresponding to the emergency loss cut point, the process proceeds to step S43.
　ステップＳ４２において、処理部２は、通信回路１４を用いてサービス情報管理サーバ２００に対して対象の銘柄についての売りシグナルを発信する。その後、処理部２は、図７の処理を終了する。売りシグナルを受けたサービス情報管理サーバ２００の処理部２は、ユーザに対して対象の銘柄の売却タイミングが到来したことを、例えば電子メール又はメッセージアプリを用いて通知する。 In step S42, the processing unit 2 uses the communication circuit 14 to send a sell signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG. 7. The processing unit 2 of the service information management server 200, which has received the sell signal, notifies the user that the sale timing of the target brand has come, for example, using an email or a message application.
　ステップＳ４３において、処理部２は、対象の銘柄のロスカットポイントの再設定を行う。ここで再設定されるロスカットポイントは、ユーザによって設定されたロスカットポイント（第１のロスカットポイント）と緊急ロスカットポイント（第２のロスカットポイント）の両方である。ロスカットポイントの再設定は、現在の終値にロスカットポイントを乗じることで新たなロスカットポイントに相当する株価を算出する処理である。なお、ステップＳ４３において、処理部２は、新たに算出したロスカットポイントが算出前のロスカットポイントを上回らない限り、ロスカットポイントの再設定を行わない。つまり、現在の終値が過去の終値以下であるときには、ロスカットポイントの再設定は行われない。この場合では、現在のロスカットポイントが維持される。なお、ロスカットポイントの再設定に際して、株価トレンドの予測の信頼度が重みとして用いられてもよい。つまり、処理部２は、現在の終値にロスカットポイントと信頼度とを乗じることで新たなロスカットポイントに相当する株価を算出してもよい。この場合、予測の信頼度が低い場合には、ロスカットポイントの再設定する量が小さくなり、予測の信頼度が高い場合には、ロスカットポイントの再設定する量が大きくなる。 In step S43, the processing unit 2 resets the loss cut point of the target issue. The loss cut points reset here are both the loss cut points (first loss cut points) and the emergency loss cut points (second loss cut points) set by the user. The resetting of the loss cut point is a process of calculating the stock price corresponding to a new loss cut point by multiplying the current closing price by the loss cut point. Note that in step S43, the processing unit 2 does not reset the loss cut point unless the newly calculated loss cut point exceeds the loss cut point before calculation. That is, when the current closing price is less than or equal to the past closing price, the loss cut point is not reset. In this case, the current loss cut point is maintained. When resetting the loss cut point, the reliability of the stock price trend prediction may be used as a weight. That is, the processing unit 2 may calculate the stock price corresponding to the new loss cut point by multiplying the current closing price by the loss cut point and the reliability. In this case, when the reliability of the prediction is low, the amount of resetting the loss cut point is small, and when the reliability of the prediction is high, the amount of resetting the loss cut point is large.
　ステップＳ４４において、株価見守りサーバ１００の処理部２は、株価トレンド予測サーバ３００から、対象の銘柄の株価トレンドを取得する。そして、処理部２は、対象の銘柄の株価トレンドが上げトレンドであるか否かを判定する。ステップＳ４４において、対象の銘柄の株価トレンドが上げトレンドであると判定されたときには、処理は、ステップＳ４５に移行する。ステップＳ４４において、対象の銘柄の株価トレンドが上げトレンドでないと判定されたときには、処理部２は図７の処理を終了する。すなわち、株価トレンドが上げトレンドである場合においては、現在の株価がユーザによって設定されたロスカットポイントを下回っても売りシグナルが発信されない。これは、今後の株価の上昇が見込まれるためである。予測の信頼度が低い場合には、株価トレンドが上げトレンドである場合であっても、現在の株価がユーザによって設定されたロスカットポイントを下回ったときに売りシグナルが発信されてもよい。 In step S44, the processing unit 2 of the stock price watching server 100 acquires the stock price trend of the target stock from the stock price trend prediction server 300. Then, the processing unit 2 determines whether the stock price trend of the target issue is an uptrend. When it is determined in step S44 that the stock price trend of the target issue is an upward trend, the process proceeds to step S45. When it is determined in step S44 that the stock price trend of the target issue is not an uptrend, the processing unit 2 ends the processing of FIG. That is, when the stock price trend is an upward trend, the sell signal is not transmitted even if the current stock price falls below the loss cut point set by the user. This is because the stock price is expected to rise in the future. When the reliability of the prediction is low, the sell signal may be transmitted when the current stock price falls below the loss cut point set by the user even when the stock price trend is an uptrend.
　ステップＳ４５において、処理部２は、対象の銘柄の株価トレンドが下げトレンドであるか否かを判定する。ステップＳ４５において、対象の銘柄の株価トレンドが下げトレンドであると判定されたときには、処理は、ステップＳ４６に移行する。ステップＳ４５において、対象の銘柄の株価トレンドが下げトレンドでないと判定されたときには、処理部２は、図７の処理を終了させる。 In step S45, the processing unit 2 determines whether the stock price trend of the target issue is a downtrend. When it is determined in step S45 that the stock price trend of the target issue is a downward trend, the process proceeds to step S46. When it is determined in step S45 that the stock price trend of the target issue is not a downtrend, the processing unit 2 ends the processing of FIG.
　ステップＳ４６において、処理部２は、データプラットフォーム４００から対象の銘柄の現在の株価（現値）を取得する。そして、処理部２は、対象の現在の株価がユーザによって設定されたロスカットポイント（第１のロスカットポイント）に相当する株価を下回ったか否かを判定する。なお、ロスカットポイントに相当する株価は、例えば、前日の終値にロスカットポイントを乗じた価格を前日の終値から引くことによって算出される。ステップＳ４６において、対象の現在の株価がユーザによって設定されたロスカットポイントに相当する株価を下回ったと判定されたときには、処理はステップＳ４７に移行する。ステップＳ４６において、対象の現在の株価がロスカットポイントに相当する株価を下回っていないと判定されたときには、処理部２は、図７の処理を終了させる。 In step S46, the processing unit 2 acquires the current stock price (current price) of the target stock from the data platform 400. Then, the processing unit 2 determines whether or not the target current stock price has fallen below the stock price corresponding to the loss cut point (first loss cut point) set by the user. The stock price corresponding to the loss cut point is calculated by, for example, subtracting the price obtained by multiplying the previous day's closing price by the loss cut point from the previous day's closing price. When it is determined in step S46 that the target current stock price has fallen below the stock price corresponding to the loss cut point set by the user, the process proceeds to step S47. When it is determined in step S46 that the current stock price of the target is not below the stock price corresponding to the loss cut point, the processing unit 2 ends the processing of FIG. 7.
　ステップＳ４７において、処理部２は、対象の銘柄の株価トレンドの予測の信頼度が所定値（例えば０．２５）以上であるか否かを判定する。ステップＳ４７において、対象の銘柄の株価トレンドの予測の信頼度が所定値以上でないと判定されたときには、処理部２は、図７の処理を終了する。つまり、ステップＳ４７において株価トレンドの予測の信頼度が低いことは、下げトレンドであるという予測の信頼度が低いことを意味する。この場合には対象の銘柄の株価が上がる可能性がある。したがって、処理部２は、売りシグナルを発信しない。ステップＳ４７において、対象の銘柄の株価トレンドの予測の信頼度が所定値以上であると判定されたときには、処理はステップＳ４８に移行する。 In step S47, the processing unit 2 determines whether or not the reliability of prediction of the stock price trend of the target issue is a predetermined value (for example, 0.25) or more. When it is determined in step S47 that the reliability of prediction of the stock price trend of the target issue is not equal to or higher than the predetermined value, the processing unit 2 ends the processing of FIG. That is, the low reliability of the stock price trend prediction in step S47 means the low reliability of the downward trend prediction. In this case, the stock price of the target issue may rise. Therefore, the processing unit 2 does not send the sell signal. When it is determined in step S47 that the reliability of the stock price trend prediction of the target issue is equal to or higher than the predetermined value, the process proceeds to step S48.
　ステップＳ４８において、処理部２は、通信回路１４を用いてサービス情報管理サーバ２００に対して対象の銘柄についての売りシグナルを発信する。その後、処理部２は、図７の処理を終了する。売りシグナルを受けたサービス情報管理サーバ２００の処理部２は、ユーザに対して対象の銘柄の売却タイミングが到来したことを、例えば電子メール又はメッセージアプリを用いて通知する。 In step S48, the processing unit 2 uses the communication circuit 14 to send a sell signal for the target issue to the service information management server 200. After that, the processing unit 2 ends the processing of FIG. 7. The processing unit 2 of the service information management server 200, which has received the sell signal, notifies the user that the sale timing of the target brand has come, for example, using an email or a message application.
　図８は、実施形態の株価見守りサービス提供システムの動作の一例を示す図である。図８の横軸は時間を示す。図８の縦軸は対象の銘柄の株価を示す。ユーザは、ある時刻Ｔ０において、対象の銘柄を購入検討銘柄に指定したとする。このとき、株価見守りサーバ１００の処理部２は、購入検討銘柄の見守りを開始する。そして、株価トレンド予測サーバ３００による株価トレンドの予測により、対象の銘柄が上げトレンドとなった時刻Ｔ１において、株価見守りサーバ１００の処理部２は、対象の銘柄の買いシグナルを発信する。 FIG. 8 is a diagram showing an example of the operation of the stock price watching service providing system of the embodiment. The horizontal axis of FIG. 8 shows time. The vertical axis of FIG. 8 indicates the stock price of the target issue. It is assumed that the user designates the target brand as a purchase consideration brand at a certain time T0. At this time, the processing unit 2 of the stock price watching server 100 starts watching the stocks under consideration for purchase. Then, at time T1 when the stock price trend prediction server 300 predicts the stock price trend and the target stock goes up, the processing unit 2 of the stock price watching server 100 transmits a buy signal of the target stock.
　買いのタイミングの通知を受けて、ユーザは対象の銘柄を実際に購入することが期待される。ここでは、時刻Ｔ２において、ユーザが対象の銘柄を購入し、さらに購入した銘柄を見守りの対象に指定したとする。なお、ユーザは、ロスカットポイントをＬＣＰ１に設定したとする。また、緊急ロスカットポイントはＬＣＰ２である。これにより、株価見守りサーバ１００の処理部２は、見守りの対象に指定された銘柄の見守りを開始する。 Upon receiving notification of the timing of purchase, the user is expected to actually purchase the target issue. Here, it is assumed that at time T2, the user purchases the target brand and designates the purchased brand as a target for monitoring. Note that the user sets the loss cut point to LCP1. The emergency loss cut point is LCP2. As a result, the processing unit 2 of the stock price watching server 100 starts watching the stock designated as the watching target.
　見守りの対象の銘柄の株価トレンドが上げトレンドであるときには、株価見守りサーバ１００の処理部２は、対象の銘柄の株価ＳＰの実際の値動きに応じてロスカットポイントＬＣＰ１を切り上げる。なお、ロスカットポイントＬＣＰ１は、対象の銘柄の株価ＳＰが値上がりしたときに切り上げられる。ロスカットポイントＬＣＰ１は、対象の銘柄の株価ＳＰが値下がりしたとしても切り下げられることはない。これは、株価トレンドが上げトレンドであって、今後の株価の値上がりが期待されるためである。このようなロスカットポイントＬＣＰ１の切り上げにより、ユーザの売却益が確保される。なお、図では示されていないが、対象の銘柄の株価ＳＰが緊急ロスカットポイントＬＣＰ２を下回ったときには、株価見守りサーバ１００の処理部２は、株価トレンドによらずに対象の銘柄の売りシグナルを発信する。これは、予測に反した大きな株価の値下がりが起きたときに最低限のユーザの売却益を確保するための処理である。 When the stock price trend of the stock to be watched is a rising trend, the processing unit 2 of the stock watching server 100 rounds up the loss cut point LCP1 according to the actual price movement of the stock price SP of the stock to be watched. The loss cut point LCP1 is rounded up when the stock price SP of the target issue rises. The loss cut point LCP1 is not devalued even if the stock price SP of the target issue decreases. This is because the stock price trend is an upward trend and it is expected that the stock price will rise in the future. By rounding up the loss cut point LCP1 in this way, the profit of the user's sale is secured. Although not shown in the figure, when the stock price SP of the target stock falls below the emergency loss cut point LCP2, the processing unit 2 of the stock price watching server 100 sends a sell signal of the target stock regardless of the stock price trend. To do. This is a process for securing a minimum profit on sale of a user when a large stock price drop against the forecast occurs.
　ここで、図８の時刻Ｔ３で見守りの対象の銘柄の株価トレンドが下げトレンドに転換したとする。株価トレンドが下げトレンドに転換してからは、株価見守りサーバ１００の処理部２は、対象の銘柄の株価ＳＰがロスカットポイントＬＣＰ１を下回ったか否かを判定する。なお、株価トレンドが下げトレンドであるときでも、対象の銘柄の株価ＳＰが値上がりした場合にはロスカットポイントＬＣＰ１は、切り上げられる。これは、ユーザの売却益を確保するためである。 Here, it is assumed that the stock price trend of the stock to be watched has decreased and turned into a trend at time T3 in FIG. After the stock price trend is lowered and converted to the trend, the processing unit 2 of the stock price watching server 100 determines whether the stock price SP of the target stock is below the loss cut point LCP1. Even when the stock price trend is a downward trend, the loss cut point LCP1 is rounded up when the stock price SP of the target issue increases. This is to secure the profit of sale to the user.
　そして、時刻Ｔ４において、対象の銘柄の株価ＳＰがロスカットポイントＬＣＰ１を下回ると、株価見守りサーバ１００の処理部２は、対象の銘柄の売りシグナルを発信する。実際の大きな株価の値下がりが起きる前に売りシグナルが発信されるので、ユーザの売却益が確保される。 Then, at time T4, when the stock price SP of the target stock falls below the loss cut point LCP1, the processing unit 2 of the stock price watching server 100 sends a sell signal of the target stock. Since the selling signal is sent before the actual big stock price drop occurs, the profit of the user's sale is secured.
　以上説明したように本実施形態によれば、株価データ、市況データ、経済指標データに従って予測された株価トレンドに基づいて株式の売買のタイミングが判断される。このため、利益になりそうなタイミングで株式を購入し、損失が発生する前のタイミングで株式を売却するという、従来では専門的な知識が必要な株式の売却の判断を専門的な知識を有していないユーザであっても行うことができる。 As described above, according to the present embodiment, the timing of stock trading is determined based on the stock price trend predicted according to the stock price data, market condition data, and economic index data. For this reason, we have specialized knowledge in the decision to sell stock, which requires specialized knowledge in the past, such as buying stock at the time when it seems to be profitable and selling the stock before the loss occurs. Even users who have not done so can do it.
　また、株価トレンドの予測が人工知能を用いて行われることにより、従来よりも予測の精度が高い。一方で、予測の信頼度も考慮して株式の売買のタイミングが判断されることにより、予測が外れた場合のリスクも抑えることができる。 Prediction of stock price trends is performed using artificial intelligence, so the accuracy of prediction is higher than before. On the other hand, by determining the timing of buying and selling stocks in consideration of the reliability of the forecast, it is possible to reduce the risk of the forecast being wrong.
　［変形例］
　以下、実施形態の変形例を説明する。実施形態では、株価トレンドの予測結果に加えて予測の信頼度も考慮して株式の売買のタイミングが判断されているが、株価トレンドの予測の信頼度は必ずしも考慮されなくてもよい。つまり、株価見守りサーバ１００の処理部２は、購入検討銘柄の株価トレンドが上げトレンドに転換したときには直ちに買いシグナルを発信し、株価トレンドが下げトレンドに転換してかつ株価がロスカットポイントを下回ったときには直ちに売りシグナルを発信してもよい。 [Modification]
Hereinafter, modified examples of the embodiment will be described. In the embodiment, the stock trading timing is determined in consideration of the reliability of the prediction in addition to the prediction result of the stock price trend, but the reliability of the prediction of the stock price trend may not necessarily be considered. In other words, the processing unit 2 of the stock price watching server 100 immediately sends a buy signal when the stock price trend of the stock to be purchased is changed to the up trend, and when the stock price trend is changed to the down trend and the stock price is below the loss cut point. You may send a sell signal immediately.
　また、前述した例では、ロスカットポイント（第１のロスカットポイント）は、ユーザによって設定されるものとしている。これに対して、株価見守りサーバ１００からユーザに対してロスカットポイントが推奨されてもよい。例えば、株価見守りサーバ１００の処理部２は、値動きの大きい銘柄の場合には大きいロスカットポイントを推奨し、下げトレンドにある銘柄については小さいロスカットポイントを推奨してもよい。 Also, in the above-mentioned example, the loss cut point (first loss cut point) is set by the user. On the other hand, the stock cut watching server 100 may recommend a loss cut point to the user. For example, the processing unit 2 of the stock price watching server 100 may recommend a large loss cut point for a stock with a large price movement, and may recommend a small loss cut point for a stock with a downward trend.
　その他、本発明は上述した実施形態に限定されるものではなく、本発明の要旨の範囲内で種々の変形や応用が可能なことは勿論である。 Besides, the present invention is not limited to the above-described embodiments, and it goes without saying that various modifications and applications are possible within the scope of the gist of the present invention.

Claims (11)

  1. 　　ユーザによる株式の銘柄の指定を受けつけ、
    　　指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させ、
    　　予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断し、
    　　判断した前記買いのタイミング又は売りのタイミングを前記ユーザに通知する、
    　処理部を具備する情報処理装置。     Accept the stock designation by the user,
    Based on the stock price data of the specified stock, market condition data representing the status of buying and selling of each stock, and economic index data representing statistics on the economy, the stock price trend of the specified stock is predicted,
    Depending on the predicted stock price trend, determine the timing of buying or selling of the specified stock,
    Notifying the user of the determined buying timing or selling timing,
    An information processing apparatus including a processing unit.
  2. 　前記処理部は、指定された前記銘柄について第１のロスカットポイントを設定し、
    　予測された前記株価トレンドが下げトレンドであって、かつ、指定された前記銘柄の現在の株価が前記第１のロスカットポイントを下回ったときに、指定された前記銘柄の売りのタイミングと判断する請求項１に記載の情報処理装置。     The processing unit sets a first loss cut point for the specified brand,
    Claiming that when the predicted stock price trend is a downtrend and the current stock price of the specified stock falls below the first loss cut point, it is determined to be the timing of selling the specified stock. The information processing device according to item 1.
  3. 　前記処理部は、前記予測の信頼度を取得し、取得した前記信頼度が所定値よりも低いときには、予測された前記株価トレンドが下げトレンドであって、指定された前記銘柄の現在の株価が前記第１のロスカットポイントを下回ったときであっても、指定された前記銘柄の売りのタイミングと判断しない請求項２に記載の情報処理装置。 The processing unit acquires the reliability of the prediction, and when the acquired reliability is lower than a predetermined value, the predicted stock price trend is a downtrend, and the current stock price of the specified stock is The information processing apparatus according to claim 2, wherein the timing is not judged to be the timing of selling the designated brand even when the price is below the first loss cut point.
  4. 　前記処理部は、指定された前記銘柄の終値に応じて前記第１のロスカットポイントを再設定する請求項２に記載の情報処理装置。 The information processing apparatus according to claim 2, wherein the processing unit resets the first loss cut point according to the closing price of the specified stock.
  5. 　前記処理部は、前記予測の信頼度を取得し、取得した前記信頼度に応じて前記第１のロスカットポイントを再設定する量の重み付けをする請求項４に記載の情報処理装置。 The information processing apparatus according to claim 4, wherein the processing unit acquires the reliability of the prediction, and weights the amount of resetting the first loss cut point according to the acquired reliability.
  6. 　前記処理部は、前記第１のロスカットポイントよりも値下がり幅の大きい第２のロスカットポイントをさらに設定し、
    　指定された前記銘柄の現在の株価が前記第２のロスカットポイントを下回ったときには予測された前記株価トレンドによらずに、指定された前記銘柄の売りのタイミングと判断する請求項２に記載の情報処理装置。     The processing unit further sets a second loss cut point having a larger price drop width than the first loss cut point,
    The information according to claim 2, wherein when the current stock price of the specified stock falls below the second loss cut point, it is determined that it is the timing of selling the specified stock regardless of the predicted stock price trend. Processing equipment.
  7. 　前記処理部は、指定された前記銘柄について予測された前記株価トレンドが上げトレンドに転換したときに、指定された前記銘柄の買いのタイミングと判断する請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the processing unit determines that it is the time to buy the specified issue when the stock price trend predicted for the specified issue changes to an uptrend.
  8. 　前記処理部は、前記予測の信頼度を取得し、取得した前記信頼度が所定値よりも低いときには、指定された前記銘柄について予測された前記株価トレンドが上げトレンドに転換しても、指定された前記銘柄の買いのタイミングと判断しない請求項７に記載の情報処理装置。 The processing unit acquires the reliability of the prediction, and when the acquired reliability is lower than a predetermined value, even if the predicted stock price trend of the specified stock is converted to an uptrend, it is specified. The information processing apparatus according to claim 7, wherein the information processing apparatus is not judged to be the timing of buying the brand.
  9. 　前記情報処理装置が予め管理している以外の株式の銘柄を前記ユーザの手動入力によって取得する請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein stock brands other than those managed in advance by the information processing apparatus are acquired by manual input by the user.
  10. 　ユーザによる株式の銘柄の指定を受けつけることと、
    　指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させることと、
    　予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断することと、
    　判断した前記買いのタイミング又は前記売りのタイミングを前記ユーザに通知することと、
    　を具備する情報処理方法。     Accepting stock designation by the user,
    Predicting the stock price trend of the specified stock, based on the stock price data of the specified stock, market condition data representing the status of buying and selling of each stock, and economic index data representing statistics on the economy,
    Determining the timing of buying or selling the specified stock according to the predicted stock price trend;
    Notifying the user of the determined buying timing or selling timing,
    An information processing method comprising:
  11. 　ユーザによる株式の銘柄の指定を受けつけることと、
    　指定された前記銘柄の株価データ、各株式の売買の状況を表す市況データ及び経済に関する統計を表す経済指標データに基づいて、指定された前記銘柄の株価トレンドを予測させることと、
    　予測された前記株価トレンドに応じて、指定された前記銘柄の買いのタイミング又は売りのタイミングを判断することと、
    　判断した前記買いのタイミング又は前記売りのタイミングを前記ユーザに通知することと、
    　をコンピュータである処理部に実行させる情報処理プログラムを記録したコンピュータ読み取り可能な記録媒体。     Accepting stock designation by the user,
    Predicting the stock price trend of the specified stock, based on the stock price data of the specified stock, market condition data representing the status of buying and selling of each stock, and economic index data representing statistics on the economy,
    Determining the timing of buying or selling the specified stock according to the predicted stock price trend;
    Notifying the user of the determined buying timing or selling timing,
    A computer-readable recording medium in which an information processing program for causing a processing unit, which is a computer, to execute is recorded.
PCT/JP2018/038215 2018-10-12 2018-10-12 Information processing device, information processing method, recording medium having information processing program recorded thereon, which are for equity investment WO2020075304A1 (en)

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