JPWO2020075304A1 - Information processing equipment for stock investment and recording media recording information processing programs - Google Patents

Abstract

The information processing device receives the designation of the stock stock by the user, and the designated stock is based on the stock price data of the designated stock, the market condition data showing the status of buying and selling of each stock, and the economic indicator data showing the statistics on the economy. A processing unit that predicts the stock price trend of the stock price, determines the buy timing or sell timing of the specified stock according to the predicted stock price trend, and notifies the user of the determined buy timing or sell timing. Be prepared.

Description

The present invention relates to an information processing device for stock investment, an information processing method, and a recording medium on which an information processing program is recorded.

In recent years, stock trading using the Internet has been carried out. However, it is difficult for investors with little investment experience to easily make a profit because it is necessary to analyze using specialized knowledge to select stocks whose prices will increase. In recent years, Japanese Patent Application Laid-Open No. 2005-216184 and the like have proposed a system that supports the investment activities of investors so that profits can be increased by performing such analysis requiring specialized knowledge by a computer.

The present invention provides a recording medium that records an information processing device, an information processing method, and an information processing program for stock investment that enables even an investor with little investment experience to make a profitable stock investment more easily. The purpose is to provide.

The information processing apparatus according to the first aspect of the present invention receives the designation of a stock brand by the user, and receives the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and an economic indicator representing economic statistics. Based on the data, the stock price trend of the designated stock is predicted, and the buy timing or sell timing of the designated stock is determined according to the predicted stock price trend, and the determined buy timing is determined. Alternatively, it is provided with a processing unit that notifies the user of the timing of the sale.

The information processing method of the second aspect of the present invention accepts the designation of a stock stock by a user, and represents stock price data of the designated stock, market data showing the status of buying and selling of each stock, and economic statistics. To predict the stock price trend of the designated stock based on the economic indicator data, and to determine the buy timing or sell timing of the designated stock according to the predicted stock price trend. It includes notifying the user of the determined buy timing or sell timing.

The recording medium of the third aspect of the present invention accepts the designation of a stock brand by the user, the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and the economy representing economic statistics. Judgment that the stock price trend of the designated stock is predicted based on the index data, and that the buy timing or the sell timing of the designated stock is determined according to the predicted stock price trend. It records an information processing program that causes a processing unit of a computer to notify the user of the buy timing or the sell timing.

FIG. 1 is a diagram showing a configuration of an example of a stock price monitoring service providing system including the information processing device according to the embodiment. FIG. 2 is a diagram showing an example of hardware configuration of a stock price monitoring 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 forecast server. FIG. 4 is a flowchart showing the operation of the stock price monitoring server. FIG. 5 is a diagram showing an example of a setting screen. FIG. 6 is a flowchart showing a purchase determination process. FIG. 7 is a flowchart showing the watching process. FIG. 8 is a diagram showing an example of the operation of the stock price monitoring service providing system of the embodiment.

Hereinafter, embodiments will be described with reference to the drawings. FIG. 1 is a diagram showing a configuration of an example of a stock price monitoring service providing system including the information processing device according to the embodiment. The stock price monitoring service predicts the future price movement of a stock specified by the user as a stock price trend, and recommends to the user the optimum buy timing and sell timing of the stock specified by the user based on the predicted stock price trend. It is a service to do. The stock price monitoring service providing system 1 includes a stock price monitoring 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 monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 are shown as separate ones. The stock price monitoring 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 monitoring 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 monitoring server 100 is, for example, a server computer having a service information setting unit 102, a signal transmission unit 104, and a loss cut point (LC) management unit 106.

The service information setting unit 102 receives from the user the setting of the stock to be monitored by the stock price. Then, the service information setting unit 102 transmits the set information as service information to the service information management server 200. The service information includes, for example, information indicating whether or not the stock is subject to monitoring, the stock loss cut point (first loss cut point), the stock code, the stock name, the exchange name, the current price, the purchase quantity, and the valuation price. Includes information such as. The service information may not include some information in this information, or may include other information other than this information.

The signal transmitting unit 104 acquires the stock price trend prediction result of the stock specified 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 the uptrend or the downtrend. 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 data of the closing price of the designated stock. The loss cut point is a value for determining the timing of loss cut (selling) of a designated brand. The signal transmitting unit 104 determines the selling timing based on the loss cut point set by the LC management unit 106 when the brand designated by the user is on the downtrend.

The service information management server 200 that constitutes the information processing device according to the embodiment together with the stock price monitoring server 100 is configured to be able to communicate with the stock price monitoring 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 monitoring server 100 in the storage for each user. Storage includes hard disk drives, solid state drives and the like. The service information is not limited to that transmitted from the service information management server 200. For example, when a stock is purchased at a securities company that operates a service information management server 200, the setting information management unit 202 may also store service information related to the purchased stock.

The signal distribution management unit 204 notifies the user terminal 500 that the timing of purchasing or selling the stock has arrived in response to the buy signal or sell signal transmitted from the stock price monitoring server 100. Notifications are made, for example, by email. Alternatively, when the message application is installed on the user terminal 500, 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 monitoring 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 monitoring server 100. Stock price trends represent trends in stock price movements. Stock price trends include uptrend and downtrend conditions. The uptrend state is a state in which it can be judged that the stock price is on an upward trend on an hourly average. The downtrend state is a state in which it can be judged that the stock price is on a downward trend on an hourly average. It may include a state that is neither an uptrend nor a downtrend. The stock price trend is predicted by artificial intelligence (AI) that has learned the stock price trend prediction model by, for example, deep learning. This forecast model is created based on stock price-correlated data such as stock price data, market data, and economic indicator data used in investment analysis. The stock price data is historical data of the price movement of the stock price of each stock. Market condition data is data showing the status of stock trading, and includes data such as the Dow Jones Industrial Average and the Nikkei Stock Average. Economic indicator data represents economic statistics and includes data such as employment statistics and gross domestic product (GDP) of each country. The trend prediction unit 302 does not necessarily have to predict the stock price trend by AI. For example, the trend forecasting unit 302 may predict the stock price trend by statistically processing (averaging, etc.) the history of stock price movements. Further, the trend prediction unit 302 may be configured to output the reliability of the prediction to the stock price monitoring 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 monitoring server 100 and the stock price trend forecasting server 300. The data platform 400 is a computer system in which an environment is prepared so as to collect various data that can be used in the stock price monitoring service providing system 1 via a network such as the Internet and store the collected data in a storage. The data collected are stock price data 402, market data 404, and economic indicator data 406. The stock price data 402 includes data on the closing price of each day and data on the real-time stock price. Market data 404 includes market data for each day. Economic indicator data 406 includes data on economic indicators for each day. The stock price monitoring server 100 and the stock price trend forecasting 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 provided with an interface and a communication circuit.

FIG. 2 is a diagram showing an example of hardware configuration of a stock price monitoring server 100, a service information management server 200, a stock price trend prediction server 300, and a data platform 400. The stock price monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400 are, for example, a processing unit 2, a bus 4, a RAM 6, a ROM 8, a storage 10, an interface 12, and the like. It has a communication circuit 14.

The processing unit 2 controls the operations of the stock price monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400, respectively. 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 composed of a single CPU or the like. The processing unit 2 may perform the operation described by a plurality of CPUs and the like.

The bus 4 is connected to the processing unit 2, RAM 6, ROM 8, storage 10, interface 12, and communication circuit 14, and is a stock price monitoring server 100, a service information management server 200, a stock price trend prediction server 300, and a data platform 400, respectively. It is a transfer path for transferring various data generated inside the platform.

The RAM 6 is a volatile memory such as a DRAM and an SRAM, and temporarily stores data or the like processed by the processing unit 2.

The ROM 8 is a non-volatile memory such as a flash memory, and stores various parameters necessary for the operation of the stock price monitoring 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 required for the operation of the stock price monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the processing units 2 of the data platform 400.

The storage 10 is a hard disk drive, a solid state drive, or the like, and is required for the operation of each processing unit 2 of, for example, the stock price monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. I remember the program. The storage 10 may store various parameters necessary for the operation of the stock price monitoring server 100, the service information management server 200, the stock price trend prediction server 300, and the data platform 400. Further, 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 indicator data 406.

The interface 12 is an interface for input / output. For example, interface 12 includes input interfaces such as a keyboard, mouse, and 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. This communication interface may include, for example, a communication interface for wired communication and a communication interface for wireless communication.

The operation of the stock price monitoring service providing system 1 will be described below. FIG. 3 is a flowchart showing the operation of the stock price trend prediction server 300.

In step S1, the processing unit 2 of the stock price trend prediction server 300 determines whether or not the stock price trend prediction timing has arrived. The forecast timing of the stock price trend is a predetermined timing such as after the end of securities trading on each day. The prediction timing may be appropriately determined. When it is determined in step S1 that the prediction timing has not arrived, the process waits. When it is determined in step S1 that the prediction timing has arrived, the process proceeds to step S2.

In step S2, the processing unit 2 acquires the stock price data of each stock currently being traded, the current market condition data, and the current economic indicator data from the data platform 400.

In step S3, the processing unit 2 predicts the stock price trend of each stock within a predetermined period, for example, one day, based on the stock price data, the market condition data, and the economic indicator data. This period does not have to be one day, but may be one week or one month.

In step S4, the processing unit 2 uses the communication circuit 14 to combine the stock price trend data specified by the stock price monitoring server 100 among the predicted stock price trend data with the reliability data of the stock price trend prediction. It is transmitted to the stock price monitoring server 100. After that, the process returns to step S1.

FIG. 4 is a flowchart showing the operation of the stock price monitoring server 100. In step S11, the processing unit 2 of the stock price monitoring server 100 determines whether or not there is a login request from the user terminal 500 for using the stock price monitoring service. The user operates the user terminal 500 to access the stock price monitoring server 100 when setting the stock price monitoring 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.

In step S12, the processing unit 2 transfers data for displaying the login screen to the user terminal 500. Upon receiving this data, a login screen is displayed on the display of the user terminal 500. The login screen is, for example, a screen that requests an ID and a password set for each user. Login does not necessarily have to be done by ID and password. After displaying the login screen, the process proceeds to step S13.

In step S13, the processing unit 2 determines whether or not the authentication has been performed correctly. For example, when the entered ID and password match the pre-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 performed correctly, the process proceeds to step S14. When it is determined in step S13 that the authentication is not performed correctly, the process waits. If authentication is not performed correctly a predetermined number of times, processing such as making it impossible to log in may be performed.

In step S14, the processing unit 2 transfers the data for displaying the setting screen to the user terminal 500. Upon receiving this data, a setting screen is displayed on the display of the user terminal 500.

FIG. 5 is a diagram showing an example of a 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 setting screen D of an example 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.

In the holding brand display area A1, service information related to the brand currently held by the user is displayed. The holding stock display area A1 has a check box for monitoring, 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 a valuation amount display part. doing.

The watch target check box is a check box for setting whether or not to watch over the brand owned by the user. When the user checks the watch target check box, the corresponding brand is watched.

The LCP setting portion is a portion for setting a 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 may 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 part instead of selection by the drop-down list.

The code display portion is a portion for displaying the brand code of the brand owned by the user. When the information of the brand code of the owned brand is stored in the storage 10 of the service information management server 200, the information of the brand code of the owned brand is acquired from the storage 10 of the service information management server 200. Is displayed in the code display part. On the other hand, even if the brand is owned by the user, if the brand code information 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 brand 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 information of the brand code can be automatically input.

The brand name display portion is a portion for displaying the brand name of the brand owned by the user. When the information of the brand name of the owned brand is stored in the storage 10 of the service information management server 200, the information of the brand name of the owned brand is acquired from the storage 10 of the service information management server 200. Is displayed in the brand name display area. On the other hand, even if the brand is owned by the user, if the information of the brand name is not stored in the storage 10 of the service information management server 200, the brand name display portion becomes 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 information of the brand name 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. When the exchange name of the stock held is stored in the storage 10 of the service information management server 200, the information of the exchange name of the stock held is acquired from the storage 10 of the service information management server 200. It is displayed in the exchange name display part. On the other hand, even if the brand is owned by the user, if the information of the exchange name is not stored in the storage 10 of the service information management server 200, the exchange name display portion becomes blank. In this case, the user can directly input the information of the exchange name in the exchange name display part. Alternatively, if the stock code or stock name is known, the exchange name information can be auto-populated 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. When the information on the current price of the stock held is stored in the storage 10 of the service information management server 200, the information on the current price of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the current price display part. 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 price information in the current price display portion. If the brand code or brand name is known, the current price information can be automatically input from the data platform 400.

The quantity display portion is a portion for displaying the current purchase quantity of the brand 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 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 becomes blank. In this case, the user can directly input the quantity information in the quantity display portion. Alternatively, if the stock code or stock name is known, quantity information may be auto-populated from the data platform 400.

The valuation amount display part is a part for displaying the current valuation amount of the brand owned by the user. When the information on the valuation price of the stock held is stored in the storage 10 of the service information management server 200, the information on the valuation price of the stock held is acquired from the storage 10 of the service information management server 200. Is displayed in the valuation amount display part. On the other hand, even if the brand is owned by the user, if the evaluation value information is not stored in the storage 10 of the service information management server 200, the evaluation value display portion is blank. In this case, the user can directly input the evaluation value information in the evaluation value display portion. Alternatively, since the valuation amount is represented by the product of the current value and the quantity, the valuation amount can be automatically entered if these values are known. Alternatively, if the stock code or stock name is known, the valuation information can be automatically entered from the data platform 400.

In the purchase consideration brand display area A2, service information related to the brand that the user is considering purchasing is displayed. The purchase consideration brand display area A2 has a code display portion, a brand name display portion, an exchange name display portion, an actual price display portion, and a trend display portion.

The code display portion is a portion for displaying the brand code of the brand that the user is considering purchasing. Initially, the code display part is blank. The user can directly input the brand code information in the code display part. Further, since the brand code and the brand name correspond to each other, if the brand name is known, the information of the brand code can be automatically input.

The brand name display portion is a portion 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 information of the brand name 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 brand that the user is considering purchasing. Initially, the exchange name display part is blank. The user can directly input the information of the exchange name in the exchange name display part. Alternatively, if the stock code or stock name is known, the exchange name information can be auto-populated 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 obtained from, for example, the stock price trend prediction server 300. The stock price trend is displayed, for example, by displaying arrows indicating an uptrend, a downtrend, and no change. The display of the stock price trend does not have to be done by displaying the arrow.

In addition, the contents displayed in the holding brand display area A1 and the purchase consideration brand display area A2 can be changed as appropriate. That is, a part of the contents displayed in the holding stock display area A1 and the purchase consideration stock display area A2 may be omitted, and other contents are additionally displayed in the holding stock display area A1 and the purchase consideration stock display area A2. May be done.

Here, the explanation returns to FIG. In step S15, the processing unit 2 determines whether or not there has been an operation on the setting screen D by the user terminal 500. When it is determined in step S15 that the 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.

In step S16, the processing unit 2 determines whether or not the content of the operation is a setting confirmation operation. For example, the setting confirmation operation is the selection of the watching setting button B. When it is determined in step S16 that the content of the operation 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 a setting confirmation operation, the process proceeds to step S18.

In step S17, the processing unit 2 controls the communication circuit 14 to transmit 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. After that, the process proceeds to step S19.

In step S18, the processing unit 2 sets the service information according to the operation content of the user. For example, when the watch target check box is checked, the processing unit 2 sets the corresponding brand as the watch target. Further, when there is an input to the code display portion of the purchase consideration brand display area A2, the processing unit 2 stores the input brand code and sets the corresponding brand as the purchase consideration brand. After these processes, the process proceeds to step S19.

In step S19, the processing unit 2 determines whether or not to end the display of the setting screen. For example, it is determined that the display of the setting screen is terminated when the log-off operation is performed by the user. In addition, it may be determined that the display of the setting screen is terminated when there is no operation by the user for a predetermined time. When it is determined in step S19 that the display of the setting screen is not finished, the process returns to step S15. When it is determined in step S19 that the display of the setting screen is finished, the processing unit 2 finishes the process of FIG.

In step S20 when it is determined in step S11 that there is no login request from the user terminal 500, the processing unit 2 sets the brand to be considered for purchase based on the service information stored in the storage 10 of the service information management server 200. Determine if there is a stock that has been listed. When it is determined in step S20 that there is an issue set as the issue to be considered for purchase, the process proceeds to step S21. When it is determined in step S20 that there is no issue set as the issue to be considered for purchase, the process proceeds to step S22.

In step S21, the processing unit 2 performs a purchase determination process. The purchase judgment process is a process of determining whether or not the purchase timing of the stock to be purchased has arrived from the stock price trend of the stock to be considered for purchase. The details of the purchase decision process will be described later. After the purchase determination process, the process proceeds to step S22.

In step S22, the processing unit 2 determines whether or not there is a brand set as a monitoring 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 to be watched over, the process proceeds to step S23. In step S23, when it is determined that there is no brand set to be watched over, the processing unit 2 ends the process of FIG.

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 stock to be watched from the stock price trend of the stock to be watched. The 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 a purchase determination process. The processing 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 the user is not logged in, but also during the user login.

In step S31, the processing unit 2 of the stock price monitoring 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 or not the stock price trend of the target issue is an upward trend. When it is determined in step S31 that the stock price trend of the target issue is not an upward trend, the processing unit 2 ends the processing of FIG. In other words, if the stock price trend is not an upward trend, there is a high possibility 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.

In step S32, the processing unit 2 determines whether or not the reliability of the prediction of the stock price trend of the target issue is equal to or higher than a predetermined value (for example, 0.25). In step S32, when it is determined that the reliability of the prediction of the stock price trend of the target issue is not equal to or higher than a predetermined value, the processing unit 2 ends the process of FIG. That is, the low reliability of the stock price trend forecast in step S32 means that the reliability of the forecast of the uptrend is low. In this case, even if the target brand is purchased, there is a possibility that no profit will be generated. Therefore, the processing unit 2 does not send a buy signal. When it is determined in step S32 that the reliability of the forecast of the stock price trend of the target issue is equal to or higher than a predetermined value, the process proceeds to step S33.

In step S33, the processing unit 2 transmits a buy signal for the target brand to the service information management server 200 using the communication circuit 14. After that, the processing unit 2 ends the processing shown in FIG. Upon receiving the buy signal, the processing unit 2 of the service information management server 200 notifies the user that the purchase timing of the target brand has arrived, for example, by using an e-mail 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 processing of FIG. 7 is performed for each brand set to be watched over. The process of FIG. 7 may be performed not only when the user is not logged in, but also during the user login.

In step S41, the processing unit 2 of the stock price monitoring 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 or not the current stock price of the target is lower than 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 drop 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 a 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 drop than the first loss cut point. The stock price corresponding to the emergency loss cut point is calculated by, for example, subtracting the price obtained by multiplying the closing price of the previous day by the emergency loss cut point from the closing price of the previous day. When it is determined in step S41 that the current stock price of the target is lower than 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 lower than the stock price corresponding to the emergency loss cut point, the process proceeds to step S43.

In step S42, the processing unit 2 transmits a sell signal for the target brand to the service information management server 200 using the communication circuit 14. After that, the processing unit 2 ends the processing of FIG. 7. Upon receiving the sell signal, the processing unit 2 of the service information management server 200 notifies the user that the sale timing of the target brand has arrived, for example, by using an e-mail or a message application.

In step S43, the processing unit 2 resets the loss cut point of the target brand. The loss cut point reset here is both a loss cut point (first loss cut point) and an emergency loss cut point (second loss cut point) set by the user. Resetting the loss cut point is a process of calculating the stock price corresponding to the new loss cut point by multiplying the current closing price by the loss cut point. 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 forecast 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.

In step S44, the processing unit 2 of the stock price monitoring 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 or not the stock price trend of the target issue is an upward trend. 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 upward trend, the processing unit 2 ends the processing of FIG. 7. 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. If the forecast is unreliable, a sell signal may be sent when the current stock price falls below the loss cut point set by the user, even if the stock price trend is an uptrend.

In step S45, the processing unit 2 determines whether or not the stock price trend of the target issue is a downward trend. 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 downward trend, the processing unit 2 ends the processing of FIG. 7.

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 current stock price of the target is lower than 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 closing price of the previous day by the loss cut point from the closing price of the previous day. When it is determined in step S46 that the current stock price of the target is lower than 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 lower than the stock price corresponding to the loss cut point, the processing unit 2 ends the processing of FIG. 7.

In step S47, the processing unit 2 determines whether or not the reliability of the prediction of the stock price trend of the target issue is equal to or higher than a predetermined value (for example, 0.25). In step S47, when it is determined that the reliability of the prediction of the stock price trend of the target stock is not equal to or higher than a predetermined value, the processing unit 2 ends the processing of FIG. 7. That is, the low reliability of the stock price trend forecast in step S47 means that the reliability of the forecast of the downtrend is low. In this case, the stock price of the target stock may rise. Therefore, the processing unit 2 does not send a sell signal. When it is determined in step S47 that the reliability of the forecast of the stock price trend of the target issue is equal to or higher than a predetermined value, the process proceeds to step S48.

In step S48, the processing unit 2 transmits a sell signal for the target brand to the service information management server 200 using the communication circuit 14. After that, the processing unit 2 ends the processing of FIG. 7. Upon receiving the sell signal, the processing unit 2 of the service information management server 200 notifies the user that the sale timing of the target brand has arrived, for example, by using an e-mail or a message application.

FIG. 8 is a diagram showing an example of the operation of the stock price monitoring service providing system of the embodiment. The horizontal axis of FIG. 8 indicates time. The vertical axis of FIG. 8 shows the stock price of the target stock. 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 monitoring server 100 starts monitoring the stock to be considered for purchase. Then, at the time T1 when the target stock becomes an upward trend due to the stock price trend forecast by the stock price trend prediction server 300, the processing unit 2 of the stock price watching server 100 transmits a buy signal of the target stock.

Upon receiving the notification of the purchase timing, the user is expected to actually purchase the target brand. Here, it is assumed that the user purchases the target brand at time T2 and further designates the purchased brand as the target of watching. It is assumed that the user has set 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 over the stock designated as the target of watching.

When the stock price trend of the stock to be watched is an upward trend, the processing unit 2 of the stock price 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 will not be devalued even if the stock price SP of the target issue drops. 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 gain on sale of the user 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 monitoring 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 unexpected drop in stock price occurs.

Here, it is assumed that the stock price trend of the stock to be monitored has changed to a downward trend at time T3 in FIG. After the stock price trend changes to the downtrend, the processing unit 2 of the stock price monitoring server 100 determines whether or not 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 stock rises. This is to secure a profit on sale of the user.

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 monitoring server 100 transmits a sell signal of the target stock. Since the sell signal is sent before the actual large stock price drop occurs, the user's profit on sale is secured.

As described above, according to the present embodiment, the timing of buying and selling stocks is determined based on the stock price trend predicted according to the stock price data, the market condition data, and the economic indicator data. For this reason, we have specialized knowledge to make decisions on the sale of stocks, which conventionally required specialized knowledge, such as purchasing stocks at a timing that is likely to be profitable and selling the stocks at a timing before a loss occurs. It can be done even by a user who has not.

Moreover, since the stock price trend is predicted using artificial intelligence, the prediction accuracy 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 if the forecast is incorrect.

[Modification example]
Hereinafter, a modified example of the embodiment will be described. In the embodiment, the timing of buying and selling stocks is determined in consideration of the reliability of the forecast in addition to the forecast result of the stock price trend, but the reliability of the forecast of the stock price trend does not necessarily have to be considered. That is, the processing unit 2 of the stock price monitoring server 100 immediately sends a buy signal when the stock price trend of the stock to be considered for purchase changes to an upward trend, and when the stock price trend changes to a downward trend and the stock price falls below the loss cut point. A sell signal may be sent immediately.

Further, in the above-described example, the loss cut point (first loss cut point) is set by the user. On the other hand, the stock price monitoring server 100 may recommend a loss cut point to the user. For example, the processing unit 2 of the stock price monitoring server 100 may recommend a large loss cut point for a stock with a large price movement and a small loss cut point for a stock with a downward trend.

In addition, the present invention is not limited to the above-described embodiment, and it goes without saying that various modifications and applications are possible within the scope of the gist of the present invention.

The present invention relates to a recording medium recording the information processing instrumentation置及beauty information processing program for stock investments.

The present invention may be a shallow investors of investment experience, to provide a recording medium for recording the information processing instrumentation置及beauty information processing program for the equity investment that it is possible to perform the equity investment revenue increases more easily The purpose is.

The information processing device of the first aspect of the present invention receives the designation of a stock brand by the user, and receives the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and an economic index representing economic statistics. based on the data, to predict the price trend of said designated stocks, according to the predicted the stock trends, to determine the selling Ri timing specified above issues, the timing of Ri before Symbol selling it is determined The processing unit is provided with a processing unit for notifying the user, the processing unit sets a first loss cut point for the designated stock, and the predicted stock price trend is a downward trend and the designated stock price trend. When the current stock price of the stock falls below the first loss cut point, it is determined that the timing of selling the designated stock is reached .
The information processing apparatus according to the second aspect of the present invention receives the designation of a stock brand by the user, and receives stock price data of the designated stock, market data showing the status of buying and selling of each stock, and an economic index representing economic statistics. Based on the data, the stock price trend of the designated stock is predicted, the buying timing of the designated stock is determined according to the predicted stock price trend, and the determined buying timing is given to the user. A processing unit for notifying is provided, and the processing unit determines that it is the timing to buy the designated stock when the stock price trend predicted for the designated stock changes to an upward trend, and determines that the timing of buying the designated stock is determined. When the reliability is acquired and the acquired reliability is lower than the predetermined value, even if the stock price trend predicted for the specified stock changes to an upward trend, the timing of buying the specified stock and the timing of buying the specified stock Do not judge.

The recording medium of the third aspect of the present invention accepts the designation of a stock brand by the user, the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and the economy representing economic statistics. Based on the index data, the stock price trend of the designated stock is predicted , the first loss cut point is set for the designated stock, and the predicted stock price trend is a downward trend. In addition, when the current stock price of the designated stock falls below the first loss cut point, it is determined that the timing of selling the designated stock is determined, and the determined timing of selling is notified to the user. It records an information processing program that causes a processing unit, which is a computer, to execute what to do.
The recording medium of the fourth aspect of the present invention accepts the designation of a stock brand by the user, the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and the economy representing economic statistics. To predict the stock price trend of the specified stock based on the index data, and when the stock price trend predicted for the specified stock changes to an upward trend, the timing of buying the specified stock. And when the reliability of the forecast is acquired and the acquired reliability is lower than the predetermined value, even if the stock price trend predicted for the designated stock changes to an upward trend, it is designated. It records an information processing program that causes a processing unit, which is a computer, to execute not determining the timing of buying the stock and notifying the user of the determined timing of buying.

Claims (11)

Accepting the designation of the stock by the user,
Based on the stock price data of the designated stock, market data showing the trading status of each stock, and economic indicator data showing economic statistics, the stock price trend of the designated stock is predicted.
Judge the buy timing or sell timing of the specified stock according to the predicted stock price trend,
Notify the user of the determined buy timing or sell timing.
An information processing device including a processing unit. The processing unit sets a first loss cut point for the designated brand, and sets a first loss cut point.
A claim that determines that the timing of selling the designated stock is when the predicted stock price trend is a downward trend and the current stock price of the designated stock falls below the first loss cut point. Item 1. The information processing apparatus according to item 1. The processing unit acquires the reliability of the forecast, and when the acquired reliability is lower than a predetermined value, the predicted stock price trend is a downward trend, and the current stock price of the designated stock is The information processing apparatus according to claim 2, wherein the timing of selling the designated brand is not determined even when the price falls below the first loss cut point. The information processing apparatus according to claim 2, wherein the processing unit resets the first loss cut point according to the designated closing price of the brand. 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. The processing unit further sets a second loss cut point having a larger price drop than the first loss cut point.
The information according to claim 2, wherein when the current stock price of the designated stock falls below the second loss cut point, the timing of selling the designated stock is determined regardless of the predicted stock price trend. Processing equipment. The information processing device according to claim 1, wherein the processing unit determines that it is the timing to buy the designated stock when the stock price trend predicted for the designated stock changes to an upward trend. The processing unit acquires the reliability of the forecast, and when the acquired reliability is lower than a predetermined value, the processing unit is designated even if the stock price trend predicted for the designated stock changes to an upward trend. The information processing apparatus according to claim 7, which is not determined to be the timing of buying the brand. The information processing device according to claim 1, wherein stocks other than those managed in advance by the information processing device are acquired by manual input by the user. Accepting the designation of stocks by users and
To predict the stock price trend of the designated stock based on the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and economic indicator data showing the statistics on the economy.
Determining the buy timing or sell timing of the specified stock according to the predicted stock price trend.
Notifying the user of the determined buy timing or sell timing, and
Information processing method including. Accepting the designation of stocks by users and
To predict the stock price trend of the designated stock based on the stock price data of the designated stock, market data showing the status of buying and selling of each stock, and economic indicator data showing the statistics on the economy.
Determining the buy timing or sell timing of the specified stock according to the predicted stock price trend.
Notifying the user of the determined buy timing or sell timing, and
A computer-readable recording medium that records an information processing program that causes a processing unit that is a computer to execute information processing.

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