JP2011227796A - Transaction type determination device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To extract a winning trade from past transaction history data of an investor etc, perform matching with multiple types of technical analysis patterns for the winning trade, determine a transaction type of the investor etc, and display the result on a screen of a user terminal.SOLUTION: The transaction type determination device comprises: a transaction result storage part 5 which takes in and stores past transaction history data input by a user via a user terminal 3 or past transaction history data of the user provided by an external system 4; a technical analysis matching part 6 which extracts a winning trade from the past transaction history data of the user retrieved from the transaction result storage part 5, performs matching with multiple types of technical analysis patterns for the transaction history data of the winning trade, and determines a transaction type of the user; and a data display circuit part 7 which performs display processing on the data of the transaction type of the user taken in from the technical analysis matching part 6 and transmits it to the user terminal 3.

Description

  The present invention matches a plurality of types of technical analysis patterns with respect to past transaction history data of an investor or the like related to a fluctuating asset price such as a foreign exchange, a stock price, etc. In detail, the transaction type discriminating apparatus for determining the winning trade is extracted from the past transaction history data of a specific investor, etc., and the winning trade is matched with a plurality of types of technical analysis patterns. The present invention relates to a transaction type determination device that determines a transaction type of an investor and displays it on the screen of a user terminal.

  Conventionally, when an investor or the like conducts a buy / sell transaction targeting a fluctuating asset price such as a foreign exchange, a stock price, etc., the so-called `` `` There are many cases where discretionary transactions are conducted. In such a case, even if a profit is obtained from a certain transaction, no suitable transaction method has been found, and profits are not necessarily generated in subsequent transactions.

  On the other hand, for example, in order to know the trading method that suits you with regard to your own foreign exchange transactions, you will learn and understand multiple types of technical analysis methods related to foreign exchange transactions and technical analysis of your past foreign exchange transactions And tried to find the right trading method. However, it took time and effort to learn and understand multiple types of technical analysis methods related to foreign exchange trading. In addition, it was necessary to find a technical analysis method that suits me by repeating the replacement of multiple types of technical analysis methods. If losses increase during continuous exchange trading, doubts arise about the found technical analysis method, and it is necessary to repeat the act of finding a new technical analysis method that suits you. It was. Therefore, it takes a lot of time and labor for investors to find a trading method that suits their own, for example, forex trading, and there is a risk that losses will increase during that time.

  Dealing with this situation, for example, in so-called futures transactions such as stocks, grains, and precious metals, a transaction data browsing device is proposed that can determine the amount and timing of its own transactions while referring to other people's transaction data. Has been. The transaction data browsing apparatus includes a transaction processing unit that processes a transaction order, a transaction history database that stores the transaction history data processed by the transaction processing unit for each trader, the transaction history data as objective index data, It comprises an analysis calculation means for comparing and calculating transaction analysis data, and a transaction analysis database that enables a transaction contractor to view transaction analysis data (see, for example, Patent Document 1). ).

  In such a transaction data browsing device described in Patent Document 1, the transaction processing means processes the order of the transaction, the transaction history data is accumulated in the transaction history database for each trader, and the analysis calculation means is an objective index. The trader who compares the data with the transaction analysis data, accumulates it in the transaction analysis database, and completes the specific contract can access the transaction analysis database and browse the transaction analysis data of another person or his / her own. Thereby, it is possible to determine the amount and timing of its own transaction with reference to other person's transaction data and perform the transaction.

  As another system, a trading system has been proposed that provides investors with information related to trading in an online trading system that trades financial products such as stocks and bonds via a network. The transaction system includes a receiving unit that receives an acquisition request for information related to a transaction from a user terminal, and a date when the transaction is established from a transaction history storage unit that stores transaction history information when the receiving unit receives the acquisition request. And generating means for generating a calendar in which characters and / or symbols indicating that a transaction has been established is set in the acquired date field, and transmitting screen information including the calendar to the user terminal (For example, refer to Patent Document 2).

  In such a transaction system described in Patent Literature 2, it is possible to provide information relating to an investor's past transaction in online trading in a more easily viewable format, thereby improving user convenience. Also, by providing information related to calendar-type transactions, the user can efficiently analyze the contents of past transactions.

JP 2001-175750 A JP 2007-279811 A

  However, in the transaction data browsing apparatus described in Patent Document 1, a trader who has completed a specific contract can access a transaction analysis database and browse another person's or his / her own transaction analysis data. Although it is possible to determine the amount and timing of one's own transactions while referring to other people's transaction data and conduct transactions, the winning trade is extracted from past transaction history data of a specific trader, and Therefore, it is impossible to determine the transaction type of a specific trader by matching with multiple types of technical analysis patterns and display it on the screen of the user terminal. Therefore, for example, the transaction type of a specific trader is determined by matching multiple types of technical analysis patterns against the past trade history data of the trader regarding asset prices that fluctuate, such as foreign exchange and stock prices. I couldn't.

  In addition, in the transaction system described in Patent Document 2, information on past transactions of investors in online trade can be provided in an easier-to-read format, improving user convenience, By providing information about transactions, users can efficiently analyze the contents of past transactions, but in the same way as described above, the winning trades are extracted from the past transaction history data of a specific user, and the winnings are extracted. It is impossible to match a trade with a plurality of types of technical analysis patterns to determine a transaction type of a specific user and display it on the screen of the user terminal. Therefore, it is possible to determine the transaction type of a specific user by matching the user's past transaction history data regarding fluctuating asset prices such as foreign exchange, stock price, etc. with multiple types of technical analysis patterns. There wasn't.

  The problem to be solved by the present invention to deal with such problems is to extract winning trades for past transaction history data of a specific investor, etc. It is intended to provide a transaction type discriminating apparatus that determines a transaction type of a specific investor and the like and displays it on a screen of a user terminal.

  In order to solve the above-mentioned problem, the transaction type discrimination device according to the first means is connected to a user terminal via a communication network capable of two-way communication, and a past transaction history data of a specific user for a variable asset price Is a transaction type discriminating device that matches a plurality of types of technical analysis patterns, finds which technical analysis pattern is matched, and determines the user's transaction type, which is specified via the user terminal A past transaction history data input from a user or a past transaction history data of the specific user provided from an external system and stored in a storage means, and read from the transaction result storage unit Extract winning trades for the historical transaction data of the specific user or The pseudo-win trade is generated by reversing the selling and buying of the trade cards, and the transaction history data of the win trade or the pseudo-win trade is matched with a plurality of types of technical analysis patterns to perform the trade of the user. A technical analysis matching unit for determining a type, and a data display circuit unit for displaying the transaction type data of the user fetched from the technical analysis matching unit and sending the data to the user terminal side.

  With such a configuration, the transaction result storage unit captures and stores past transaction history data input from a specific user via a user terminal or past transaction history data of the specific user provided from an external system. In the means, the technical analysis matching unit extracts the winning trade for the past transaction history data of the specific user read from the transaction result accumulating unit, or reverses the selling and buying of the losing trade A pseudo-winning trade is generated, and the transaction type data of the winning trade or the pseudo-winning trade is matched with a plurality of types of technical analysis patterns to determine the trade type of the user. Display processing of user transaction type data imported from analysis matching section Te is transmitted to the user terminal side. In this way, winning trades (including pseudo-winning trades) are extracted from past transaction history data of a specific investor, etc., and matching with multiple types of technical analysis patterns is performed on the transaction history data of the winning trade. The transaction type of a specific investor is determined and displayed on the screen of the user terminal.

  The transaction type identification device according to the second means is connected to the user terminal via a communication network capable of two-way communication, and a plurality of types of transaction history data of a specific user with respect to a fluctuating asset price. A transaction type discriminating device that performs matching with a technical analysis pattern, determines which technical analysis pattern is matched, and determines the user's transaction type, and is input from a specific user via the user terminal A transaction result storage unit that takes in past transaction history data or past transaction history data of the specific user provided from an external system and stores it in storage means; and a past of the specific user read from the transaction result storage unit To extract winning trades for trading history data, or sell and buy losing trades A technical analysis matching unit that generates a pseudo-winning trade by reversing and determines a transaction type of the user by matching a plurality of types of technical analysis patterns with the transaction history data of the winning trade or the pseudo-winning trade A price rate accumulating unit that captures the time-dependent fluctuation data of the asset price provided from another external system and stores it in the storage means, and the past fluctuation data of the asset price read from the price rate accumulating unit A transaction simulation unit that performs a simulation when applying a transaction type of a user determined by the technical analysis matching unit, a user transaction type data captured from the technical analysis matching unit, and a transaction simulation unit Simulation results Data Display processing those consisting includes a data display circuit unit to be transmitted to the user terminal side.

  With such a configuration, the transaction result storage unit captures and stores past transaction history data input from a specific user via a user terminal or past transaction history data of the specific user provided from an external system. In the means, the technical analysis matching unit extracts the winning trade for the past transaction history data of the specific user read from the transaction result accumulating unit, or reverses the selling and buying of the losing trade A pseudo-win trade is generated, the user's transaction type is determined by matching a plurality of types of technical analysis patterns against the trade history data of the win trade or the pseudo-win trade, and the price rate accumulating unit Captures changes in asset prices over time provided by external systems and stores them in storage Then, the transaction simulation unit performs a simulation when applying the transaction type of the user determined by the technical analysis matching unit to the past fluctuation data of the asset price read from the price rate accumulation unit, The data display circuit unit displays the transaction type data of the user fetched from the technical analysis matching unit and the simulation result data fetched from the transaction simulation unit, and sends them to the user terminal side. In this way, winning trades (including pseudo-winning trades) are extracted from past transaction history data of a specific investor, etc., and matching with multiple types of technical analysis patterns is performed on the transaction history data of the winning trade. The transaction type of a specific investor etc. is determined and displayed on the screen of the user terminal, and the simulation result when the transaction is performed by applying the determined user transaction type to the past fluctuation data of the asset price is shown. Display on the screen of the user terminal.

In addition, the technical analysis matching unit extracts only winning trades about the past transaction history data of a specific user read from the transaction result accumulation unit and stores them in the storage means, or extracts only losing trades and loses them. A trade result extraction unit that generates a pseudo-winning trade by reversing trade selling and buying and stores it in a storage unit, and a technical analysis data storage unit that stores data of the plurality of types of technical analysis patterns in the storage unit And the transaction history data of the winning trade or the pseudo-winning trade from the trading result extraction unit is matched with a plurality of types of technical analysis patterns from the technical analysis data storage unit by the calculation means, and the transaction type of the user And a transaction type analysis unit for determining the transaction type.
As a result, the transaction result extraction unit extracts only the winning trade for the past transaction history data of the specific user read from the transaction result accumulation unit and stores it in the storage means, or extracts only the losing trade and loses it. By reversing trade selling and buying, a pseudo-winning trade is generated and stored in the storage means, and the technical analysis data storage unit stores the data of the plurality of types of technical analysis patterns in the storage means. In the analysis unit, the calculation means performs matching with a plurality of types of technical analysis patterns from the technical analysis data storage unit on the transaction history data of the winning trade or pseudo-winning trade from the transaction result extracting unit, and the user's Determine transaction type.

Further, the transaction simulation unit includes a data receiving unit that takes in the past fluctuation data of the asset price read from the price rate accumulation unit and the user transaction type data from the technical analysis matching unit, and a data reception unit The calculation unit that calculates the balance when the transaction type is applied to the past fluctuation data of the asset price and the user's transaction type is applied to the asset price, and the result calculated by the calculation unit is stored. And a calculation result storage unit stored in the means.
Thereby, the data receiving unit captures the past fluctuation data of the asset price read from the price rate accumulation unit and the user transaction type data from the technical analysis matching unit by the receiving unit, and the calculation unit receives the data The balance of the transaction when the transaction type of the user is applied to the past fluctuation data of the asset price by taking the data from the department is calculated by the calculation means, and the calculation result storage section calculates the calculation section by the calculation section. The result is stored in the storage means.

Furthermore, the asset price is any one of a foreign exchange, a stock price, a bond price, a commodity future price, or a real estate price.
As a result, for any of foreign exchange, stock price, bond price, commodity future price or real estate price, a winning trade is extracted from past transaction history data of a specific investor etc., and the transaction history data of the winning trade is extracted. Matching with multiple types of technical analysis patterns to determine the transaction type of a specific investor, etc., and display it on the screen of the user terminal. The simulation result when the transaction is performed by applying the transaction type of the user is displayed on the screen of the user terminal.

  According to the transaction type determination device according to claim 1, in the transaction result storage unit, past transaction history data input from a specific user via a user terminal or the past of the specific user provided from an external system. The transaction history data is captured and stored in the storage means, and the technical analysis matching unit extracts winning trades for the past transaction history data of the specific user read from the transaction result accumulation unit, or sells and buys losing trades. The pseudo-win trade is generated by reversing and the transaction history data of the win trade or the pseudo-win trade is matched with a plurality of types of technical analysis patterns to determine the trade type of the user, and the data In the display circuit section, the user's transaction type captured from the technical analysis matching section It can be transmitted to the user terminal by processing and displaying the data. In this way, winning trades (including pseudo-winning trades) are extracted from past transaction history data of a specific investor, etc., and matching with multiple types of technical analysis patterns is performed on the transaction history data of the winning trade. The transaction type of a specific investor etc. can be determined and displayed on the screen of the user terminal. Therefore, the transaction type of a specific investor, etc., is determined by matching multiple types of technical analysis patterns against past transaction history data of the investor, etc., regarding asset prices that fluctuate, such as foreign exchange and stock prices. can do.

  Moreover, according to the transaction type discrimination device according to claim 2, in the transaction result storage unit, past transaction history data input from a specific user via a user terminal or the specific user provided from an external system is stored. The past transaction history data is captured and stored in the storage means, and the technical analysis matching unit extracts the winning trade for the specific user's past transaction history data read from the transaction result accumulation unit, or sells the losing trade. The pseudo-win trade is generated by reversing and buying, and the trade type of the win trade or the pseudo-win trade is matched with a plurality of technical analysis patterns to determine the trade type of the user. In the price rate accumulation section, the asset price provided by other external systems over time Is stored in the storage means, and the transaction simulation unit applies the transaction type of the user determined by the technical analysis matching unit to the past fluctuation data of the asset price read from the price rate accumulation unit. The data display circuit unit displays the user transaction type data captured from the technical analysis matching unit and the simulation result data captured from the transaction simulation unit, and sends them to the user terminal side. be able to. In this way, winning trades (including pseudo-winning trades) are extracted from past transaction history data of a specific investor, etc., and matching with multiple types of technical analysis patterns is performed on the transaction history data of the winning trade. The transaction type of a specific investor etc. is determined and displayed on the screen of the user terminal, and the simulation result when the transaction is performed by applying the determined user transaction type to the past fluctuation data of the asset price is shown. It can be displayed on the screen of the user terminal. Therefore, the transaction type of a specific investor, etc., is determined by matching multiple types of technical analysis patterns against past transaction history data of the investor, etc., regarding asset prices that fluctuate, such as foreign exchange and stock prices. Furthermore, it is possible to perform a simulation when a transaction is performed by applying the determined user transaction type to the past fluctuation data of the asset price.

  Furthermore, according to the invention according to claim 3, the transaction result extraction unit extracts only the winning trade for the past transaction history data of the specific user read from the transaction result accumulation unit and stores it in the storage means, or By extracting only the losing trade and reversing the selling and buying of the losing trade, a pseudo winning trade is generated and stored in the storage means, and the technical analysis data storage unit stores the data of the plurality of types of technical analysis patterns. Is stored in the storage means, and the transaction type analysis unit matches the plurality of types of technical analysis patterns from the technical analysis data storage unit against the transaction history data of the winning trade or the pseudo-winning trade from the transaction result extracting unit. Can be determined by the computing means to determine the user's transaction type. As a result, the past transaction history data of a specific investor etc. is matched with a plurality of types of technical analysis patterns to determine the trade type of the specific investor etc., and the transaction type is displayed on the screen of the user terminal. be able to.

  Further, according to the invention of claim 4, the data receiving unit receives the past fluctuation data of the asset price read from the price rate storage unit and the user transaction type data from the technical analysis matching unit. In the calculation unit, the calculation unit calculates the balance when the transaction is performed by applying the user transaction type to the past fluctuation data of the asset price by acquiring the data from the data receiving unit and calculating the calculation result. The storage unit can store the result calculated by the calculation unit in the storage means. Thereby, it is possible to perform a simulation when a transaction is performed by applying the determined transaction type of the user to the past fluctuation data of the asset price, and the simulation result can be displayed on the screen of the user terminal.

  According to the invention according to claim 5, any one of the foreign exchange, stock price, bond price, commodity future price, or real estate price, the past trade history data of a specific investor etc. The transaction history data of the winning trade is matched with multiple types of technical analysis patterns to determine the transaction type of a specific investor, etc., and displayed on the screen of the user terminal. According to the function, it is possible to display a simulation result when a transaction is performed by applying the determined transaction type of the user to past fluctuation data of the asset price on the screen of the user terminal.

It is a schematic diagram showing the whole transaction type discriminating system to which the transaction type discriminating device by a first embodiment is applied. It is a block diagram which shows the internal structure of the transaction result storage part which is a component of the said transaction type discrimination | determination apparatus. It is a table | surface which shows an example of the transaction history table created in the transaction history preservation | save part in the said transaction result storage part. It is a block diagram which shows the technical analysis matching part which is a component of the said transaction type discrimination | determination apparatus, (a) is a block diagram which shows the internal structure of the technical analysis matching part, (b) is a component of the said technical analysis matching part FIG. 4C is a block diagram showing an internal configuration of a transaction type analysis unit that is a component of the technical analysis matching unit. It is a block diagram which shows the internal structure of the data display circuit part which is a component of the said transaction type discrimination | determination apparatus. It is a flowchart explaining operation | movement of the said transaction type discrimination | determination apparatus. It is explanatory drawing which shows the example of the display screen which the data of the determined user's transaction type are sent and displayed on a user terminal via a communication network. It is a schematic diagram which shows the whole transaction type discrimination | determination system to which the transaction type discrimination device by 2nd embodiment is applied. It is a block diagram which shows the internal structure of the transaction simulation part which is a component of the transaction type discrimination | determination apparatus by 2nd embodiment. It is a block diagram which shows the internal structure of the data display circuit part which is a component of the transaction type discrimination | determination apparatus by 2nd embodiment. It is a flowchart explaining the operation | movement which performs the simulation at the time of applying and applying a user's transaction type with respect to the past fluctuation data of an asset price in the transaction type discrimination | determination apparatus by 2nd embodiment. It is explanatory drawing which shows the example of the display screen by which the data of a simulation result are sent to a user terminal via a communication network, and are displayed.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
FIG. 1 is a schematic diagram showing an entire transaction type discrimination system to which a transaction type discrimination device 1 according to the first embodiment of the present invention is applied. This transaction type discriminating system performs matching with a plurality of types of technical analysis patterns on past transaction history data such as investors related to asset prices that fluctuate such as foreign exchange, stock prices, etc. The transaction type discriminating apparatus 1, the communication network 2, the user terminal 3, and the transaction history database 4 are provided.

  The communication network 2 is a network capable of bidirectional communication, and a typical example is the Internet. The user terminal 3 may be any device as long as it can be connected to the communication network 2. For example, there is a personal computer that can be connected to the Internet or a mobile terminal such as a mobile phone. The transaction history database 4 externally provides a plurality of users' past transaction history data for asset prices that fluctuate like, for example, foreign exchange, stock prices, etc. Data in which transaction results such as the date and time, the amount of money, etc. that each user actually sells and buys at a trader or stock trader is stored as a history is sent.

  Here, the transaction type discriminating apparatus 1 according to the first embodiment is connected to the user terminal 3 via a communication network 2 capable of two-way communication, and a specific user (for example, an investor, etc.) about a fluctuating asset price. Matching multiple types of technical analysis patterns against past transaction history data, determining which technical analysis pattern is matched, and determining the user's transaction type, as shown in FIG. The transaction result storage unit 5, the technical analysis matching unit 6, the data display circuit unit 7, and the network processing unit 8 are provided.

  The transaction result accumulating unit 5 includes past transaction history data input from a specific user via the user terminal 3 or past transaction history data of the specific user provided from a transaction history database 4 as an external system. As shown in FIG. 2, the transaction history input unit 9, the transaction history extraction unit 10, and the transaction history storage unit 11 are provided.

  The transaction history input unit 9 receives past transaction history data input from a specific user from the user terminal 3 via the communication network 2, and receives the received data as a transaction history storage unit described later. 11 to send. The transaction history extraction unit 10 extracts past transaction history data of a specific user provided from the transaction history database 4 as an external system by an extraction unit. The extracted data is stored in a transaction history storage unit 11 described later. To send to. The transaction history storage unit 11 takes in the past transaction history data of the specific user sent from the transaction history input unit 9 or the past transaction history data of the specific user sent from the transaction history extraction unit 10. The transaction history table 12 (see FIG. 3) is created by tabulating these data, and has storage means capable of storing the data in a tabular format. The stored data is stored in a technical analysis matching unit 6 described later. To send to.

  FIG. 3 is a table showing an example of the transaction history table 12 created by the transaction history storage unit 11. This transaction history table 12 is, for example, in a foreign exchange transaction, a specific user's past transaction history data sent from the transaction history input unit 9 or a specific user's past transaction history data sent from the transaction history extraction unit 10. , A foreign currency transaction “currency pair”, transaction content “buying and selling”, new or settlement “transaction category”, transaction “established price”, transaction completed “ The past transaction history is written for items such as “established date / time” and “definite profit / loss” representing profit / loss determined in the transaction result. This transaction history table 12 is classified and stored as a transaction (winning trade) in which profit has been generated as fixed profit / loss and a transaction (loss trade) in which a loss has occurred. In the “yen conversion” column, a positive value transaction represents a winning trade, and a negative value transaction represents a losing trade. From the transaction history table 12, data can be extracted by classifying into a win trade and a loss trade.

  In FIG. 1, a technical analysis matching unit 6 is provided following the transaction result storage unit 5. The technical analysis matching unit 6 extracts a winning trade for the past transaction history data of the specific user read from the transaction result accumulating unit 5, or reverses the selling and buying of a losing trade to make a pseudo win As shown in FIG. 4 (a), a trade is generated and the transaction history data of the winning trade or pseudo-winning trade is matched with a plurality of types of technical analysis patterns to determine the user's transaction type. The transaction result extraction unit 13, the transaction result storage unit 14, the technical analysis data storage unit 15, the transaction type analysis unit 16, and the analysis result output unit 17 are provided.

  The transaction result extraction unit 13 extracts only winning trades for the past transaction history data of a specific user read from the transaction history storage unit 11 in the transaction result storage unit 5 and stores them in the storage means, or loses trades. 4 is generated, and the pseudo-winning trade is generated and stored in the storage means by reversing the selling and buying of the losing trade. As shown in FIG. The winning trade storage unit 19, the losing trade storage unit 20, and the reverse transaction result generation unit 21 are provided.

  The transaction result classification unit 18 takes in the past transaction history data of a specific user read from the transaction history storage unit 11 in the transaction result storage unit 5 and extracts data by classifying it into winning trades and losing trades. To do. The winning trade storage unit 19 extracts only the winning trade classified by the transaction result classification unit 18 and stores it in the storage means, and has a memory that can write and read data. Further, the losing trade storage unit 20 extracts only the losing trade classified by the transaction result classification unit 18 and stores it in the storage means, and has a memory in which data can be written and read. Further, the reverse transaction result generation unit 21 reads the data of the losing trade from the losing trade storage unit 20 and generates a pseudo-winning trade by reversing selling and buying in the “buying and selling” of the transaction content. For example, it has an arithmetic processing means. The data read from the reverse transaction result generation unit 21 is sent to the winning trade storage unit 19 and stored as “winning trade”.

  4 (a) and 4 (b), a command is input from the user terminal 3 to the transaction result extraction unit 13 via the communication network 2 shown in FIG. In order to generate a pseudo-winning trade by reversing selling and buying in the “buying and selling” of the transaction contents of the past transaction history data read from the transaction history storage unit 11 in the storage unit 5 Represents a request from a user operation.

  A transaction result storage unit 14 is provided following the transaction result extraction unit 13. The transaction result storage unit 14 stores data of winning trades (including pseudo-winning trades) read from the winning trade storage unit 19 in the transaction result extraction unit 13, and can write and read data. Has memory. Further, the technical analysis data storage unit 15 performs a plurality of types of technical analysis patterns for determining a transaction type by matching a user's past transaction history data regarding a fluctuating asset price (for example, foreign exchange, stock price, etc.). Is stored in advance in a storage means, and has a memory in which data can be written and read.

  A transaction type analysis unit 16 is provided following the transaction result storage unit 14. The transaction type analysis unit 16 matches a plurality of types of technical analysis patterns read from the technical analysis data storage unit 15 with respect to the transaction history data of winning trades or pseudo-winning trades read from the transaction result storage unit 14. The transaction type of the user is determined by calculating means, and as shown in FIG. 4C, a matching unit 22, an analysis unit 23, a matching result storage unit 24, a transaction type determination unit 25, Comprising.

  The matching unit 22 takes in transaction history data of winning trades or pseudo-winning trades read from the transaction result storage unit 14 and data of a plurality of types of technical analysis patterns read from the technical analysis data storage unit 15, The transaction history data of winning trades or pseudo-winning trades is matched with a plurality of types of technical analysis patterns. The analysis unit 23, for the data matched by the matching unit 22, the ratio (%) of how many times each technical analysis pattern matches each technical analysis pattern for each technical analysis pattern, according to the number of transactions. ), And has arithmetic means such as a multiplier and a divider. The matching result storage unit 24 stores the match rate calculated by the analysis unit 23, and has a memory in which data can be written and read. The transaction type determination unit 25 compares the match rates read from the matching result storage unit 24, determines the technical analysis pattern having the highest match rate, whether new, settlement, sale, or purchase, and the user (investor, etc.) The transaction type is determined, and has an operation means such as a comparator.

  An analysis result output unit 17 is provided following the transaction type analysis unit 16. This analysis result output unit 17 outputs the transaction type data of the user (investor, etc.) sent from the transaction type analysis unit 16 to the data display circuit unit 7 to be described later. To send to.

  In FIG. 1, a data display circuit unit 7 is provided following the technical analysis matching unit 6. This data display circuit unit 7 displays the user transaction type data captured from the technical analysis matching unit 6 and sends it to the user terminal 3 side. As shown in FIG. And an analysis result storage unit 27.

  The data processing unit 26 performs display processing of user transaction type data read from the technical analysis matching unit 6 and includes, for example, a data processor. The analysis result storage unit 27 stores the data output from the data processing unit 26 as one display data, and includes a display memory, for example.

  In FIG. 1, a network processing unit 8 is provided at the subsequent stage of the data display circuit unit 7. This network processing unit 8 matches a plurality of types of technical analysis patterns with respect to past transaction history data of a specific user with respect to fluctuating asset prices with the user terminal 3 via the communication network 2. The data of the transaction type of the user determined by performing is transmitted / received.

  The asset price is, for example, any one of a foreign exchange rate at a foreign exchange rate, a stock price at a stock price rate, a bond price at a bond rate, a commodity future price at a commodity future rate, or a real estate price at a real estate rate. Securities prices, precious metal bullion, non-ferrous bullion, crude oil prices, etc.

  Next, operation | movement of the transaction type discrimination | determination apparatus 1 by 1st embodiment comprised in this way is demonstrated with reference to the flowchart of FIG. In addition, here, taking the foreign exchange as an example of the asset price, the state in which the foreign exchange rate fluctuates will be described.

  First, the transaction result accumulation unit 5 shown in FIG. 1 takes in past transaction history data of a specific user input from the user terminal 3 (step S1 in FIG. 6), or the transaction history database 4 as an external system. The past transaction history data of the specific user read out from is taken in (step S2). In this case, in the past foreign exchange transactions of the user, the transaction results such as the date, actual price, finalized profit and loss, etc. that each user actually sold and bought at the foreign exchange trader etc. are stored in the transaction history database 4 as history. If so, those data may be read from the transaction history database 4 in step S2. However, when the past transaction history data of the user is not stored in the transaction history database 4, each user inputs his / her past transaction history data from the user terminal 3 in step S1.

  Next, in the transaction result accumulating unit 5 shown in FIG. 1, the acquired past transaction history data of the user is classified into a winning trade and a losing trade and stored in a table (step S3). At this time, in FIG. 2, the transaction history data input from the user terminal 3 is received by the transaction history input unit 9 and sent to the transaction history storage unit 11, and the transaction history provided from the external transaction history database 4 The data is extracted by the transaction history extraction unit 10 and sent to the transaction history storage unit 11. Then, in the transaction history storage unit 11, the past transaction history data of a specific user sent from the transaction history input unit 9 or the past transaction history data of a specific user sent from the transaction history extraction unit 10 Then, the trade history table 12 as shown in FIG. 3 is created and stored as a table classified into winning trades and losing trades.

  Next, in the technical analysis matching unit 6 shown in FIG. 1, only winning trades are extracted from the past transaction history data of a specific user read from the transaction result accumulation unit 5, or selling and buying of losing trades are reversed. In this way, a pseudo-winning trade is generated, and transaction history data of the winning trade or the pseudo-winning trade is matched with a plurality of types of technical analysis patterns (step S4). At this time, in FIG. 4A, the user's past transaction history data read from the transaction result storage unit 5 is input to the transaction result extraction unit 13, and the trade result classification unit 18 shown in FIG. And losing trades, data is extracted, only the classified winning trades are extracted and stored in the winning trade storage unit 19, and only the classified losing trades are extracted and the losing trade storage unit is extracted. 20 is stored. Further, the losing trade data read out from the losing trade storage unit 20 is input to the reverse transaction result generation unit 21, and the pseudo-winning trade is generated by reversing the selling and buying of the transaction contents. The winning trade storage unit 19 stores the winning trade.

  The data of the winning trade (including the pseudo winning trade) read out from the winning trade storage unit 19 is sent to the transaction type analysis unit 16 via the transaction result storage unit 14 shown in FIG. At this time, data of a plurality of types of technical analysis patterns stored in advance in the technical analysis data storage unit 15 are read from the technical analysis data storage unit 15 and sent to the transaction type analysis unit 16. And the matching part 22 (refer FIG.4 (c)) in the transaction type analysis part 16 matches with multiple types of technical analysis pattern with respect to the transaction history data of a winning trade or a pseudo winning trade.

  In this case, in FIGS. 4A and 4B, a request command is input from the user terminal 3 by a user operation, and about the losing trade in the past transaction history data read from the transaction result accumulation unit 5, A pseudo winning trade may be generated by reversing the selling and buying of the transaction contents.

  Next, a match rate between the transaction history data of the winning trade (including the pseudo winning trade) and each technical analysis pattern is calculated, and the matching result is stored (step S5). At this time, in FIG. 4 (c), the data matched by the matching unit 22 is analyzed by the analysis unit 23 for each technical analysis pattern for each technical analysis pattern. A coincidence rate indicating the percentage (%) of how many times the analysis pattern is matched is calculated. The calculated match rate is stored in the matching result storage unit 24 as a matching result.

  Next, regarding the matching result, a technical analysis pattern having the highest match rate is found, and the transaction type of the user is determined (step S6). At this time, in FIG. 4 (c), the data read from the matching result storage unit 24 is input to the transaction type determination unit 25, and the match rates are compared for the respective technical analysis patterns. The pattern is determined for each new transaction, settlement, sale, and purchase, and the transaction type of the user (investor, etc.) is determined.

  Next, the data of the determined transaction type is displayed and displayed on the user terminal 3 via the communication network 2 (step S7). At this time, the data output from the transaction type determination unit 25 is sent to the data display circuit unit 7 shown in FIG. 1 via the analysis result output unit 17 shown in FIG. Then, the data of the user transaction type read from the technical analysis matching unit 6 is displayed by the data processing unit 26 shown in FIG. 5, and the data output from the data processing unit 26 is displayed by the analysis result storage unit 27. One display data is used. The data output from the analysis result storage unit 27 is sent to the network processing unit 8 in FIG. 1 and a process for transmitting / receiving to the communication network 2 is performed. Then, the processed data is sent to the user terminal 3 via the communication network 2 and displayed on the screen of each user.

  FIG. 7 is an explanatory diagram showing an example of a display screen 28 in which the transaction type data subjected to the display process is sent to the user terminal 3 via the communication network 2 and displayed on the screen. The display screen 28 matches a plurality of types of technical analysis patterns with respect to past transaction history data of a specific user for a variable asset price, and displays the result of analyzing which technical analysis pattern is matched. To display. First, “your transaction type: moving average trader type” is displayed as the transaction type of the user determined in step S6. Next, as a result of matching the user's winning trade with the technical analysis pattern, for the "new trade" that starts a new transaction, the technical analysis pattern when it starts with "buy" or "sell", and its technical analysis pattern The match rate with is displayed in%. Further, regarding the “settlement trade” in which the transaction is settled for the new trade, the technical analysis pattern in the case of settlement by “buy” or “sell” and the matching rate between the technical analysis pattern are displayed in%.

  In addition, the icon 29 “reanalyze selling and buying of losing trades reversed” displayed at the bottom of the display screen 28 is used to reverse the selling and buying of losing trades by the user's operation. It is generated when the transaction history data of the pseudo-winning trade is matched with a plurality of types of technical analysis patterns and re-analyzed. In addition, an icon 30 of “transaction simulation with past price movement based on technical analysis pattern of transaction type” is a transaction type determination device 1 ′ according to a second embodiment shown in FIG. This is clicked when a simulation is performed when a transaction is performed by applying the transaction type of the user determined by the technical analysis matching unit 6 to the data.

  Next, a transaction type discrimination device according to the second embodiment of the present invention will be described with reference to FIG. FIG. 8 is a schematic diagram showing the entire transaction type discrimination system to which the transaction type discrimination device 1 ′ according to the second embodiment is applied. In the same manner as described above, this transaction type discrimination system matches a plurality of types of technical analysis patterns with respect to past transaction history data of investors, etc., relating to asset prices that fluctuate, such as foreign exchange and stock prices. The transaction type determination device 1 ′, the communication network 2, the user terminal 3, the transaction history database 4, and the price rate providing system 31 of the second embodiment are determined. It has. Since the communication network 2, the user terminal 3, and the transaction history database 4 are the same as those shown in FIG. 1, the description thereof is omitted here.

  The price rate providing system 31 provides information on fluctuations in asset prices over time, for example, foreign exchange rates, from the outside to the transaction type determination device 1 ′ of the second embodiment. It receives and sends foreign exchange rates provided by the banks that conduct them.

  Here, the transaction type discriminating apparatus 1 ′ according to the second embodiment is connected to the user terminal 3 via the communication network 2 capable of two-way communication, and a specific user (for example, an investor or the like) with respect to the fluctuating asset price. The past transaction history data is matched with a plurality of types of technical analysis patterns to determine which technical analysis pattern is matched, and determines the user's transaction type. As shown in FIG. The transaction result storage unit 5, the technical analysis matching unit 6, the data display circuit unit 7 ′, the network processing unit 8 ′, the price rate storage unit 32, and the transaction simulation unit 33 are provided. Since the transaction result accumulating unit 5 and the technical analysis matching unit 6 are the same as those shown in FIG. 1, the description thereof is omitted here.

  The price rate accumulating unit 32 takes in the fluctuation data (for example, foreign exchange rate) of the asset price provided from the price rate providing system 31 as another external system and stores it in the storage means. It has a writable and readable memory.

  A transaction simulation unit 33 is provided following the price rate storage unit 32. The transaction simulation unit 33 performs a simulation when a transaction is performed by applying the user transaction type determined by the technical analysis matching unit 6 to the past fluctuation data of the asset price read from the price rate storage unit 32. As shown in FIG. 9, the data receiving unit 34, the calculation unit 35, and the calculation result storage unit 36 are provided.

  The data receiving unit 34 receives the past fluctuation data of the asset price read from the price rate storage unit 32 and the user transaction type data from the technical analysis matching unit 6 by a receiving unit. The calculation unit 35 takes in the data from the data reception unit 34 and calculates the balance when the transaction is performed by applying the user transaction type to the past fluctuation data of the asset price. It has calculation means, such as a calculator. The calculation result storage unit 36 stores the result calculated by the calculation unit 35 in a storage unit, and has a memory in which data can be written and read.

  A data display circuit unit 7 ′ is provided following the technical analysis matching unit 6 and the transaction simulation unit 33. This data display circuit unit 7 ′ is basically the same as the data display circuit unit 7 shown in FIG. 1, except that the user transaction type data fetched from the technical analysis matching unit 6 and the transaction simulation unit 33 are used. The difference is that the captured simulation result data is displayed and sent to the user terminal 3 side. As shown in FIG. 10, the internal configuration includes a data processing unit 26 ′ that displays and displays the user transaction type data captured from the technical analysis matching unit 6 and the simulation result data captured from the transaction simulation unit 33. An analysis result storage unit 27 that stores user transaction type data output from the data processing unit 26 ′ as display data, and a simulation result that also stores simulation result data output from the data processing unit 26 ′ as display data And a storage unit 37. The data processing unit 26 ′ includes a data processor, for example, and the analysis result storage unit 27 and the simulation result storage unit 37 each include a display memory, for example.

  Further, a network processing unit 8 'is provided at the subsequent stage of the data display circuit unit 7'. The network processing unit 8 ′ is basically the same as the network processing unit 8 shown in FIG. 1, but outputs from the data display circuit unit 7 ′ to the user terminal 3 through the communication network 2. The user transaction type data and simulation result data are transmitted and received.

  Next, the operation of the transaction type determination device 1 ′ according to the second embodiment configured as described above will be described with reference to the flowcharts of FIGS. 6 and 11. In addition, here, taking the foreign exchange as an example of the asset price, the state in which the foreign exchange rate fluctuates will be described.

  First, the flowchart shown in FIG. 6 and the flowchart shown in FIG. 11 are connected by the connector “1” after step S6. Then, the technical analysis matching unit 6 shown in FIG. 8 performs matching with a plurality of types of technical analysis patterns on the transaction history data of winning trades (including pseudo-winning trades) to determine the user's transaction type. The operation is performed according to the above-described steps S1 to S7.

  Next, by the transaction simulation unit 33 shown in FIG. 8, a simulation is performed when a transaction is performed by applying the user transaction type determined by the technical analysis matching unit 6 to the past fluctuation data of the asset price. When the icon 30 shown in FIG. 7 is clicked, it is connected to the connector “1” shown in FIG. 11 via the connector “1” shown in FIG. 6, and the flowchart shown in FIG. 11 is entered. First, the price rate storage unit 32 shown in FIG. 8 takes in the data of the past exchange rate read from the price rate providing system 31 as an external system (step S8).

  Next, in the transaction simulation unit 33 shown in FIG. 8, when the determined transaction type data is captured, the past exchange rate data is captured, and a transaction is performed by applying the technical analysis pattern of the transaction type. And the simulation result is stored (step S9). At this time, the data receiving unit 34 shown in FIG. 9 captures the past exchange rate data read from the price rate storage unit 32 and the user transaction type data from the technical analysis matching unit 6. Thereafter, the calculation unit 35 calculates the balance when the transaction is performed by applying the determined user transaction type to the past exchange rate data. Then, the result of simulation by the calculation unit 35 is stored in the calculation result storage unit 36.

  Next, the simulation result is read out, displayed, and displayed on the user terminal 3 via the communication network 2 (step S10). At this time, the data output from the calculation result storage unit 36 is sent to the data display circuit unit 7 'shown in FIG. Then, the simulation result data read from the transaction simulation unit 33 is displayed by the data processing unit 26 ′ shown in FIG. 10, and the data output from the data processing unit 26 ′ is displayed by the simulation result storage unit 37. Data. The data output from the simulation result storage unit 37 is sent to the network processing unit 8 ′ in FIG. 8, and processing for transmission / reception to the communication network 2 is performed. Then, the processed data is sent to the user terminal 3 via the communication network 2 and displayed on the screen of each user.

  FIG. 12 is an explanatory diagram showing an example of a display screen 38 in which the display-processed simulation result data is sent to the user terminal 3 via the communication network 2 and displayed on the screen. This display screen 38 displays a simulation result when a transaction is performed by applying the user transaction type determined by the technical analysis matching unit 6 to the past exchange rate performance from the price rate providing system 31. It is.

  First, the line graph C in the upper half is a transaction simulation by applying the user transaction type determined by the technical analysis matching unit 6 to the exchange rate performance from January 2008 to March 2010, for example. It is a change curve which shows the total transition of the realized profit and loss in the case of doing. The lower half of the table shows detailed data on the line graph C. The total profit from January 2008 to March 2010 is “541,000 yen” and the total loss is “−117,000 yen”. , The total profit and loss is "424,000 yen". The number of trades during this period is 31, the number of wins is 19, the number of losses is 12, the number of draws is 0, and the overall win rate is 61.29%.

  In the above description, the asset price is “foreign exchange”, but the present invention is not limited to this, and other asset prices can be similarly applied.

DESCRIPTION OF SYMBOLS 1,1 '... Transaction type discrimination device 2 ... Communication network 3 ... User terminal 4 ... Transaction history database 5 ... Transaction result storage part 6 ... Technical analysis matching part 7, 7' ... Data display circuit part 8, 8 '... Network processing Section 13 ... Transaction result extraction section 14 ... Transaction result storage section 15 ... Technical analysis data storage section 16 ... Transaction type analysis section 17 ... Analysis result output section 31 ... Price rate providing system 32 ... Price rate storage section 33 ... Transaction simulation section 34 ... Data receiver 35 ... Calculator 36 ... Calculation result storage

Claims (5)

Connected to a user terminal via a communication network capable of two-way communication, and matches the historical transaction data of a specific user for variable asset prices with multiple types of technical analysis patterns. A transaction type discriminating device for determining whether the user matches the transaction type,
A transaction result storage unit that takes in past transaction history data input from a specific user via the user terminal or the past transaction history data of the specific user provided from an external system and stores it in a storage unit;
Extracting the winning trade for the past transaction history data of the specific user read from the trading result storage unit, or generating a pseudo winning trade by reversing the selling and buying of the losing trade, and the winning trade or A technical analysis matching unit that determines a transaction type of the user by matching a plurality of types of technical analysis patterns to the transaction history data of the pseudo-winning trade;
A data display circuit unit for displaying the transaction type data of the user captured from the technical analysis matching unit and sending it to the user terminal side; and
A transaction type discrimination device comprising: Connected to a user terminal via a communication network capable of two-way communication, and matches the historical transaction data of a specific user for variable asset prices with multiple types of technical analysis patterns. A transaction type discriminating device for determining whether the user matches the transaction type,
A transaction result storage unit that takes in past transaction history data input from a specific user via the user terminal or the past transaction history data of the specific user provided from an external system and stores it in a storage unit;
Extracting the winning trade for the past transaction history data of the specific user read from the trading result storage unit, or generating a pseudo winning trade by reversing the selling and buying of the losing trade, and the winning trade or A technical analysis matching unit that determines a transaction type of the user by matching a plurality of types of technical analysis patterns to the transaction history data of the pseudo-winning trade;
A price rate accumulator that captures time-dependent data of asset prices provided from other external systems and stores them in a storage means;
A transaction simulation unit that performs a simulation when the transaction type of the user determined by the technical analysis matching unit is applied to the past fluctuation data of the asset price read from the price rate accumulation unit;
A data display circuit unit for displaying the transaction type data of the user captured from the technical analysis matching unit and the simulation result data captured from the transaction simulation unit and sending it to the user terminal side;
A transaction type discrimination device comprising:   The technical analysis matching unit extracts only winning trades for a specific user's past transaction history data read from the transaction result accumulation unit and stores them in the storage means, or extracts only losing trades and extracts the losing trades. A transaction result extraction unit that generates a pseudo-winning trade by reversing selling and buying and stores it in a storage unit; a technical analysis data storage unit that stores data of the plurality of types of technical analysis patterns in the storage unit; The transaction type of the user is determined by performing a matching with a plurality of types of technical analysis patterns from the technical analysis data storage unit on the transaction history data of the winning trade or pseudo-winning trade from the transaction result extraction unit. And a transaction type analysis unit for performing the transaction. Transaction type discrimination apparatus.   The transaction simulation unit includes a data receiving unit that captures the past fluctuation data of the asset price read from the price rate storage unit and the user transaction type data from the technical analysis matching unit by a receiving unit, and the data receiving unit. The calculation unit that calculates the balance when the transaction is performed by applying the user's transaction type to the past fluctuation data of the asset price by taking in the data, and the result calculated by the calculation unit in the storage unit The transaction type determination device according to claim 2, further comprising a calculation result storage unit for storing the transaction type.   3. The transaction type determination apparatus according to claim 1, wherein the asset price is any one of a foreign exchange, a stock price, a bond price, a commodity future price, or a real estate price.

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