TWI406200B - Online financial management educating and evaluating system and method for the same - Google Patents

Online financial management educating and evaluating system and method for the same Download PDF

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TWI406200B
TWI406200B TW99106121A TW99106121A TWI406200B TW I406200 B TWI406200 B TW I406200B TW 99106121 A TW99106121 A TW 99106121A TW 99106121 A TW99106121 A TW 99106121A TW I406200 B TWI406200 B TW I406200B
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model
online financial
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financial education
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TW201131527A (en
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Sai Ho Leung
Yao Hsu Li
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Apex Internat Financial Engineering Res & Tech Co
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線上理財教學評量系統與方法Online financial education evaluation system and method

本發明為一種線上理財教學評量系統與方法,特別是指可動態引入各種訊號模型與參數調整於一買賣訊號分析伺服中心的理財教學評量系統。The invention relates to an online financial teaching evaluation system and method, in particular to a financial teaching evaluation system capable of dynamically introducing various signal models and parameters to a trading signal analysis servo center.

買賣股票、債券或是其他投資會有一定的規則,當有人想要學習時,除了直接進入市場買賣之外,習知技術有提供一些模擬理財環境的工具,透過在虛擬環境中買賣來學習各種投資工具的使用方法。There are certain rules for buying and selling stocks, bonds or other investments. When someone wants to learn, in addition to directly entering the market, the prior art has some tools to provide a simulated financial environment, and learn to buy and sell in a virtual environment. How to use investment tools.

若需評估投資人的投資行為的報酬或是優劣,一般性的系統是以回溯測試方法(Back Test)或蒙地卡羅模擬(Monte Carlo Simulation)去分析買賣訊號品質,此類系統除前兩種方法外,還可以作為往後測試,或競爭式測試等。If you need to assess the rewards or advantages and disadvantages of the investor's investment behavior, the general system is to analyze the quality of the trading signal by Back Test or Monte Carlo Simulation. In addition to the methods, it can also be used as a backward test, or a competitive test.

目前習知技術已有技術是系統電腦程式做股票交易模擬,此系統能模擬、分析股票、商品或其他買賣相關行為,透過虛擬股票市場分析投資報酬、投資方法的研究。At present, the prior art technology is a system computer program for stock trading simulation. This system can simulate and analyze stocks, commodities or other trading-related behaviors, and analyze the investment returns and investment methods through the virtual stock market.

習知技術之一可參考第一圖所示之投資模擬分析系統之示意圖,此圖顯示一個基本的投資理財系統應有的軟硬體。One of the conventional techniques can refer to the schematic diagram of the investment simulation analysis system shown in the first figure, which shows the software and hardware that a basic investment and wealth management system should have.

圖示之系統提供一電腦中心108,使用者由客戶端112經網際網路114進入電腦中心108,經登入認證後,可使用其中各種投資理財的資訊與模擬環境。電腦中心108中具有一些伺服器,如即時資料伺服器15,此為由外部資源擷取即時的交易市場資訊,並轉換為電腦系統可讀取的資訊,再繼續傳遞至當日資料庫伺服器17,由此當日資料庫伺服器17判讀其中資訊是否有用,將有用的部份儲存於儲存媒體110中的當日資料庫12,而將沒用的資訊拋棄。藉此能夠將即時的交易資訊儲存下來,包括當日交易的各種股匯市訊息,尤其是當日的資料。若資料已超過一天,則應經由歷史資料庫伺服器19收集後,儲存於儲存媒體110中的歷史資料庫14。The illustrated system provides a computer center 108 through which the user enters the computer center 108 via the Internet 114. After login authentication, the information and simulation environment of various investment and wealth management can be used. The computer center 108 has some servers, such as the real-time data server 15, which extracts the real-time transaction market information from external resources and converts it into information that can be read by the computer system, and then continues to the database server 17 of the current day. Thus, the database server 17 determines whether the information is useful, stores the useful portion in the current database 12 in the storage medium 110, and discards the useless information. In this way, real-time transaction information can be stored, including various stock market transactions of the day, especially the data of the day. If the data has been more than one day, it should be collected by the historical database server 19 and stored in the historical database 14 in the storage medium 110.

從即時資料伺服器15所擷取並傳遞的訊號同樣也被傳遞至投資伺服器13中,此投資伺服器13為多人註冊使用的管理伺服器,藉由即時資料伺服器15提供各使用者即時的交易市場資訊,使用者同樣可以經由投資伺服器13擷取儲存媒體110中儲存的各種資訊。The signal captured and transmitted from the real-time data server 15 is also transmitted to the investment server 13, which is a management server registered for use by a plurality of people, and each user is provided by the real-time data server 15. The real-time transaction market information, the user can also retrieve various information stored in the storage medium 110 via the investment server 13.

上述習知技術描述一個模擬環境的基本設計,使用者可以取得當日即時的資訊,或是由歷史資料中學習投資。The above-mentioned prior art describes a basic design of a simulation environment in which a user can obtain instant information on the current day or learn investment from historical data.

藉由一些基礎的模擬環境可以學習到各種投資工具,故習知技術相應產生一些利用電腦程式實現的模擬投資環境,使用者可以在當中配合即時交易市場的波動執行模擬投資,藉此達到教育訓練。With some basic simulation environments, various investment tools can be learned. Therefore, the conventional technology generates a simulated investment environment realized by computer programs. Users can perform simulation investment in conjunction with the fluctuation of the real-time trading market to achieve educational training. .

相對於習知技術利用虛擬的投資環境(或遊戲)進行分析與學習的方式,本發明更提出一種具有可擴充、更彈性、較多學習空間的線上理財教學評量系統與其運作的方法,系統提供一個多人模擬投資環境,引入教學的概念,使用者,或說學員,不僅可以在此模擬當下金融交易市場的虛擬環境中執行各種投資行為,還可以由管理人(或說導師)設定題目或是各種投資環境的變數評量各使用者的學習成績。在過程中,除了管理人所設定的各種市場狀況與模擬各種主客觀因素外,更可以套用過去某個時段中交易市場的歷史事件模型(Pattern),其他還包括政治環境與氣候等變數。所以,透過本發明,使用者能夠在虛擬環境中面對各種環境的考驗,藉此學習接近真實的投資方法。Compared with the conventional technology for analyzing and learning by using a virtual investment environment (or game), the present invention further provides an online financial teaching evaluation system with scalable, more flexible and more learning space and a method for operating the same, the system Providing a multi-person simulation investment environment, introducing the concept of teaching, users, or students, can not only perform various investment behaviors in the virtual environment of the current financial transaction market, but also set the topic by the administrator (or the tutor). Or the variables of various investment environments to measure the academic performance of each user. In the process, in addition to the various market conditions set by the administrator and the simulation of various subjective and objective factors, the historical event model of the trading market in a certain period of time can be applied. Others include political environment and climate variables. Therefore, with the present invention, the user can face various environmental tests in the virtual environment, thereby learning to approach the real investment method.

根據實施例,線上理財教學評量系統包括有一個買賣訊號分析伺服中心,能處理複數個使用者端登入此系統後產生的輸入訊號,其中有一模型訊號配對模組,能夠引入一或複數個訊號模型,包括有一歷史模型,提供複數個歷史上特定時段之波動數據;另有一系統產生模型,管理人可以自行設定一或複數個特定時段之波動數據;有一即時市場模型,是用以引入即時市場之波動數據;再有一外部因素模型,能夠引入如政治、經濟、氣候等主客觀事件產生的波動數據。According to an embodiment, the online financial education assessment system includes a trading signal analysis servo center capable of processing input signals generated by a plurality of user terminals after logging in to the system, wherein a model signal matching module can introduce one or more signals. The model includes a historical model that provides volatility data for a specific number of historical periods; another system generates a model, and the manager can set one or more volatility data for a specific period of time; there is an instant market model for introducing the real-time market. Fluctuation data; there is an external factor model that can introduce volatility data generated by subjective and objective events such as politics, economy, and climate.

買賣訊號分析伺服中心中更有一輸入訊號配對模組,執行複數個使用者端相互之間的訊號之配對程序,比如買與賣的行為配對,若配對成功,即完成一交易。In the trading signal analysis servo center, there is an input signal matching module, which performs a pairing process between a plurality of user terminals, such as a pairing of buying and selling behaviors. If the pairing is successful, a transaction is completed.

經由上述配對過程後,將再透過一變數調整模組調整訊號,比如真實市場中的交易所得稅、手續費等,這些部份都會影響到各使用者在虛擬環境的績效。最後,則經過評比模組根據線上理財教學評量系統所設定之評比項目,評比經配對與變數調整後的訊號。After the above matching process, the signal will be adjusted through a variable adjustment module, such as transaction income tax and handling fee in the real market, which will affect the performance of each user in the virtual environment. Finally, the appraisal module evaluates the signals after pairing and variable adjustment according to the evaluation items set by the online financial education evaluation system.

另有一實施例是提供各使用者可以扮演整個交易市場中不同的角色。首先,線上理財教學評量系統執行一初始化流程,依據複數個使用者登入線上理財教學評量系統之權限與使用者資料提供各使用者一初始模擬環境。接著,系統定義各使用者於線上理財教學評量系統中之虛擬角色,經過訊號配對、各訊號模型配對後,針對管理人所設定之評比條件進行評比,藉此系統達到教學的目的。Another embodiment is to provide that each user can play a different role in the entire trading market. First, the online financial education evaluation system performs an initialization process, and provides an initial simulation environment for each user according to the permissions and user data of the plurality of users logging in to the online financial education evaluation system. Then, the system defines the virtual characters of each user in the online financial education evaluation system. After the signal pairing and the matching of the signal models, the evaluation conditions set by the administrator are compared, thereby achieving the teaching purpose.

本發明提出一種線上理財教學評量系統與方法,主要是利用電腦程式虛擬出一個投資交易程序,藉由設定評比條件、交易市場環境模擬與管理人的介入來評量一個或多個使用者在此模擬環境的投資績效。The invention provides an online financial education teaching evaluation system and method, which mainly uses a computer program to virtualize an investment transaction program, and evaluates one or more users by setting evaluation conditions, trading market environment simulation and manager intervention. The investment performance of this simulated environment.

第二圖顯示本發明線上理財教學評量系統之實施例示意圖。The second figure shows a schematic diagram of an embodiment of the online financial education evaluation system of the present invention.

多個終端使用者21,如標號201,202至203等的終端使用者,利用電腦系統經由網路20進入本發明所提出的線上理財教學評量系統。線上理財教學評量系統在此示意圖中主要是一個買賣訊號分析伺服中心25,此為電腦程式所執行的一個虛擬投資環境,能夠對複數個終端使用者21經由網路20所輸入的各種投資訊號進行買賣配對與分析。A plurality of terminal users 21, such as end users of the numbers 201, 202 to 203, enter the online financial education evaluation system proposed by the present invention via the network 20 using a computer system. In this diagram, the online financial education evaluation system is mainly a trading signal analysis servo center 25, which is a virtual investment environment executed by the computer program, and can input various investment signals to the plurality of terminal users 21 via the network 20. Conduct trading matching and analysis.

其中特別的是,買賣訊號分析伺服中心25將引入一或多個訊號模型23,各模型主要載有某個時段的市場波動數據,將波動數據套入終端使用者21所輸入的訊號上,產生輸出結果29,藉以判斷訊號是否能夠適應某個時段的波動。In particular, the trading signal analysis servo center 25 will introduce one or more signal models 23, each model mainly carrying market fluctuation data for a certain period of time, and fluctuating the data into the signal input by the terminal user 21 to generate The result 29 is outputted to determine whether the signal can adapt to fluctuations in a certain period of time.

另可引入參數27調整,對買賣訊號分析伺服中心25中的各使用者訊號調整,以期能更貼近真實世界或模擬特定情況。整個分析系統中的參數,都可以即時調整,而影響範圍時間與起始時間都可以設定,如果影響範圍為過去時候,還可以從記錄中重新調整計算。In addition, parameter 27 adjustment can be introduced to adjust the user signals in the trading signal analysis servo center 25 in order to be closer to the real world or to simulate a specific situation. The parameters in the entire analysis system can be adjusted in real time, and the influence range time and start time can be set. If the influence range is in the past, the calculation can be readjusted from the record.

上述所引入各種訊號模型,根據實施例,至少包括有一歷史模型、一系統產生模型、一即時市場模型與一外部因素模型等,詳細描述可參考第五圖。The various signal models introduced above include at least one historical model, one system generation model, one real-time market model, and one external factor model according to the embodiment. For a detailed description, reference may be made to the fifth figure.

本發明除了提供一種線上虛擬的投資環境外,並能夠針對各使用者產出的訊號進行分析與評比,再引入上述各訊號配對、訊號模型配對的機制,能夠產生可擴充、更彈性、較多學習空間的線上理財教學評量系統,此系統具有教學的概念,使用者間亦可分派不同角色任務,在此模擬環境中學習,還可以由管理人設定題目或是各種投資環境的變數,藉以評量使用者產出的投資績效,包括是否達到一預設之評比條件,一般來說,可為與市場價格比對、使用者間比較(利潤比對、波動比對)、比對管理人所定出的任務,如利潤上下線、所持點數波動範圍,或是操作過程是否符合真實世界,或是是否可以適應真實世界。In addition to providing an online virtual investment environment, the present invention can analyze and evaluate the signals generated by each user, and then introduce the above-mentioned signal pairing and signal model matching mechanisms to generate expandable, more flexible, and more Learning space online financial education assessment system, this system has the concept of teaching, users can also assign different role tasks, learn in this simulation environment, can also be set by the administrator or the variables of various investment environments, so that Evaluate the investment performance of the user's output, including whether to reach a predetermined evaluation condition. Generally speaking, it can be compared with the market price, the user comparison (profit comparison, volatility comparison), comparison manager The tasks that are determined, such as the profit and the line, the fluctuation range of the points held, or whether the operation process conforms to the real world, or whether it can adapt to the real world.

第三圖進一步揭露本發明線上理財教學評量系統內各模組關係。The third figure further discloses the relationship between the modules in the online financial education evaluation system of the present invention.

由複數個使用者端產生輸入訊號301,經一訊號輸入介面輸入至買賣訊號分析伺服中心30,使用者端通常為各使用者所使用之終端電腦系統,圖示中買賣訊號分析伺服中心30係可由一遠端伺服器實現,處理由複數個使用者端產生之輸入訊號,其中特別設置有模型訊號配對模組32、輸入訊號配對模組34、變數調整模組36與評比模組38。當輸入訊號301經過買賣訊號分析伺服中心30中訊號配對、模型訊號配對、變數調整與評比之後,經訊號輸出介面輸出結果303,可以透過結果查看各使用者端於一段時間內的操作資訊。The input signal 301 is generated by a plurality of user terminals, and is input to the trading signal analysis servo center 30 via a signal input interface. The user terminal is usually a terminal computer system used by each user, and the trading signal analysis servo center 30 system is shown in the figure. The input signal generated by the plurality of user terminals can be processed by a remote server, and the model signal pairing module 32, the input signal pairing module 34, the variable adjusting module 36 and the rating module 38 are specially provided. After the input signal 301 passes through the signal matching, the model signal pairing, the variable adjustment and the evaluation in the trading signal analysis servo center 30, the result 303 is outputted through the signal output interface, and the operation information of each user terminal over a period of time can be viewed through the result.

其中模型訊號配對模組32將引入一或複數個訊號模型305,將各訊號模型中所載在一段時間內的數據波動套用在各使用者端的輸入訊號上,以此模擬出一個特定的交易環境。而輸入訊號配對模組34則執行複數個使用者端之輸入訊號之配對程序,輸入訊號於模組34中配對成功時,即完成一交易。於完成該交易後,接著透過變數調整模組36調整該交易之輸出訊號,變數調整模組36係對經配對後之訊號進行一或多個變數調整,包括該交易過程中產生的成本,比如真實市場中的交易所得稅、手續費等,這些部份都會影響到各使用者在虛擬環境的績效,另外還有可能是各上市公司面臨的訂單改變、原物料調整造成的變化。接著,評比模組38根據各使用者進入線上理財教學評量系統時所設定之評比項目進行評比,也就是評比經配對與變數調整後的訊號。The model signal pairing module 32 will introduce one or more signal models 305 to apply data fluctuations contained in each signal model for a period of time to the input signals of the user terminals, thereby simulating a specific trading environment. . The input signal matching module 34 executes a pairing process of input signals of a plurality of user terminals. When the input signal is successfully paired in the module 34, a transaction is completed. After the transaction is completed, the output signal of the transaction is adjusted by the variable adjustment module 36. The variable adjustment module 36 performs one or more variable adjustments on the paired signals, including the cost generated during the transaction, such as The transaction income tax, handling fee, etc. in the real market will affect the performance of each user in the virtual environment. In addition, it may be the change caused by the order change and raw material adjustment faced by each listed company. Next, the rating module 38 compares the evaluation items set by each user when entering the online financial education evaluation system, that is, the evaluation of the paired and variable adjusted signals.

上述買賣訊號分析伺服中心30更包括一參數調整模組,也就是針對各模組中的訊號執行即時參數調整,經過參數調整307機制,能調整當中的影響範圍時間、起始時間,或是從資料庫記錄中重新調整計算。The above-mentioned trading signal analysis servo center 30 further includes a parameter adjustment module, that is, performing instantaneous parameter adjustment for the signals in each module, and adjusting the influence range time, start time, or Recalculate the calculation in the database record.

如第四圖所示之輸入訊號配對模組34之實施態樣,舉例來說,各使用者可能執行買或賣的交易行為,比如使用者一執行「買單」的動作、使用者二執行「賣單」、使用者三執行「賣單」與使用者四執行「買單」,此輸入訊號配對模組34即執行各買與賣的行為配對程序,經價格比對與特定時間的波動,買與賣的行為將經比對配對,配對成功, 即完成一交易,產生配對輸出401。As shown in the fourth figure, the implementation of the input signal pairing module 34, for example, each user may perform a buying or selling transaction, such as a user performing a "buy" action, and a user performing " "Sell Sell", User 3 executes "Sell" and User 4 performs "Buy". This input signal matching module 34 performs the action matching procedure of each purchase and sale, and buys and sells through price comparison and specific time fluctuations. The behavior will be matched and paired successfully. That is, a transaction is completed, and a paired output 401 is generated.

根據本發明實施例,上述買賣訊號分析伺服中心中具有模型訊號配對模組32,如第五圖所示之實施態樣。According to an embodiment of the invention, the above-mentioned trading signal analysis servo center has a model signal pairing module 32, as shown in the fifth embodiment.

模型訊號配對模組32接收由各使用者端(使用者一、使用者二、使用者三與使用者四等)的輸入訊號,此時,引入一或複數個訊號模型(Pattern),經過引入之訊號模型套入使用者端產生的訊號上,可以在一段時間內模擬出歷史上的某個時段、或是加入各種外在因素、或是引入即使市場的波動數據、甚至是管理人自行設計的狀況,產生輸出結果501,藉以考驗出各使用者所執行的任何投資。The model signal pairing module 32 receives input signals from the user terminals (user 1, user 2, user 3, and user 4, etc.), and then introduces one or more signal patterns (Pattern). The signal model is embedded in the signal generated by the user, which can simulate a certain period of time in a period of time, or add various external factors, or introduce even the market fluctuation data, or even the manager design The condition produces an output 501 to test any investment performed by each user.

此例中,特別包括有一歷史模型51,提供複數個歷史上特定時段之波動數據,比如歷史上某年的波動數據,或是某個歷史事件,如圖中顯示模型參數503的各年度或是單一事件。In this example, a history model 51 is specifically included, which provides a plurality of historical fluctuation data of a certain period of time, such as fluctuation data of a certain year in history, or a historical event, as shown in each year of the model parameter 503. Single event.

另有一系統產生模型53,管理人可以自行設定一或複數個特定時段之波動數據,也就是如圖中顯示管理人所產生的模型參數505,藉以考驗使用者面對此虛擬狀況的投資能力。Another system generates a model 53, and the manager can set one or a plurality of fluctuation data of a specific period of time, that is, the model parameter 505 generated by the manager in the figure, thereby testing the user's ability to invest in the virtual situation.

有一即時市場模型55,是用以引入即時市場之波動數據,比如即時的股票市場或債券市場相關的波動(507)。There is an immediate market model 55 that is used to introduce real-time market volatility data, such as real-time stock market or bond market-related volatility (507).

再有一外部因素模型57,也就是引入特定事件,比如模型參數509所表示的政治、經濟、氣候等主客觀事件產生的波動數據,其他還可如商品/產品的即時報價、選舉民調等。There is another external factor model 57, that is, the introduction of specific events, such as the fluctuation data generated by the subjective and objective events such as political, economic, and climate represented by the model parameter 509, and other such as real-time quotes of goods/products, election polls, and the like.

透過上述本發明在買賣訊號分析伺服中心30所引入的各種訊號模型,在過程中,除了管理人所設定的各種市場狀況與模擬各種主客觀因素外,更可以套用過去某個時段中交易市場的歷史事件模型,其他還包括政治環境與氣候等變數。所以,使用者能夠在虛擬環境中面對各種環境的考驗,藉此學習接近真實的投資方法。Through the above various signal models introduced by the above-mentioned invention in the trading signal analysis servo center 30, in addition to various market conditions set by the manager and simulating various subjective and objective factors, the transaction market in a certain period of time can be applied. Historical event models, others include variables such as the political environment and climate. Therefore, the user can face various environmental tests in the virtual environment, thereby learning to approach the real investment method.

請再參考第六圖所示本發明線上理財教學評量方法流程圖之一,流程顯示應用於一連線網路之線上理財教學評量系統的方法步驟,連線網路之線上理財教學評量系統具有一資料庫,包括使用者資料與一或多個訊號模型。Please refer to the flowchart of the online financial education evaluation method of the present invention shown in the sixth figure. The process shows the method steps of the online financial education evaluation system applied to a connected network, and the online financial education evaluation of the connected network. The volume system has a database of user data and one or more signal models.

先執行一初始化流程,各使用者經由網路登入系統(步驟S601),系統即依據各使用者登入線上理財教學評量系統之權限與儲存於資料庫之使用者資料提供各使用者一初始模擬環境(步驟S603),包括檢查登入使用者的可使用點數範圍、金額上線與相關限制,如當日交易金額、交易對象、交易時間等。接著,系統將接收由各使用者端之輸入訊號(步驟S605),此類訊號主要為買、賣等交易訊號,其他亦可包括系統所提供各種互動介面產生的來往訊號。接著,系統執行相對各買、賣等輸入訊號的任務(步驟S607),任務即為對應一時間點之交易。First, an initialization process is performed, and each user logs in to the system via the network (step S601), and the system provides an initial simulation of each user according to the rights of each user to log in to the online financial education evaluation system and the user data stored in the database. The environment (step S603) includes checking the range of available points of the login user, the amount of the online line and related restrictions, such as the transaction amount of the day, the transaction object, the transaction time, and the like. Then, the system will receive the input signals from the user terminals (step S605). The signals are mainly for buying and selling transaction signals, and the other signals may also include the communication signals generated by various interactive interfaces provided by the system. Next, the system executes a task for each input signal such as buying or selling (step S607), and the task is a transaction corresponding to a time point.

步驟S609顯示系統執行一訊號配對程序,訊號配對程序主要是針對複數個使用者端所輸入的訊號進行配對,若配對成功即完成交易。可參考上述第四圖所示輸入訊號配對模組的工作。Step S609 shows that the system performs a signal pairing process, and the signal pairing program mainly pairs the signals input by the plurality of user terminals, and if the pairing is successful, the transaction is completed. Refer to the operation of the input signal pairing module shown in the fourth figure above.

步驟S611則繼續執行一模型配對程序,可參考上述第五圖,系統將引入一或多個訊號模型61,使系統中在一特定時間內之訊號經由套入所引入的訊號模型來實際考驗各使用者所產生的訊號優劣。於較佳實施例中,訊號模型可為一歷史模型,其他有一管理人設定波動數據的系統產生模型、引入即時市場波動數據的即時市場模型與政治、氣候等的外部因素模型。Step S611 continues to perform a model matching procedure. Referring to the fifth figure above, the system will introduce one or more signal models 61 to enable the signals in the system to be tested for a specific time by inserting the introduced signal model. The signal generated by the person. In a preferred embodiment, the signal model can be a historical model, another system generating model for the manager to set the volatility data, an immediate market model for introducing real-time market volatility data, and an external factor model for politics, climate, and the like.

經配對後的訊號,可再經過變數調整程序(步驟S613),比如真實市場中的交易所得稅、手續費等會影響到各使用者在虛擬環境的績效。再將經過配對、變數調整後的數據輸出(步驟S615),最後,則經過評比模組根據線上理財教學評量系統所設定之評比項目,評比經配對與變數調整後的訊號(步驟S617)。評比結果再輸出(步驟S619)。After the paired signals, the variable adjustment procedure can be performed (step S613). For example, the transaction income tax and the handling fee in the real market may affect the performance of each user in the virtual environment. The paired and variable-adjusted data is output (step S615). Finally, the matching module evaluates the paired and variable-adjusted signals according to the rating items set by the online financial education evaluation system (step S617). The evaluation result is output again (step S619).

特別的是,在上述訊號配對、模型配對、變數調整與評比過程中,各訊號可以再透過參數調整63,過程中,經過即時參數調整,比如調整時間範圍、每個訊號的交易內容等,以期能更貼近真實世界。In particular, in the above signal pairing, model matching, variable adjustment and evaluation process, each signal can be adjusted through parameter adjustment 63. During the process, the parameters are adjusted, such as adjusting the time range and the transaction content of each signal. Can be closer to the real world.

本發明另有一實施例是提供各使用者可以扮演整個交易市場中不同的角色,也就是進入此線上理財教學評量系統的複數個使用者可分別擔任一個系統中的角色,比如在此模擬環境中的買方角色與賣方角色等的投資人角色、政府角色、中央銀行角色、各種銀行角色等等,讓各使用者可由各種角度進行學習。Another embodiment of the present invention provides that each user can play different roles in the entire trading market, that is, a plurality of users entering the online financial education evaluation system can respectively assume roles in a system, such as a simulated environment. Investor roles such as buyer roles and seller roles, government roles, central bank roles, various bank roles, etc., allow each user to learn from a variety of perspectives.

步驟一開始,各使用者同樣透過網路登入線上理財教學評量系統(步驟S701),再執行一初始化流程,依據複數個使用者登入線上理財教學評量系統之權限與使用者資料提供各使用者一初始模擬環境(步驟S703)。At the beginning of the step, each user also logs into the online financial education evaluation system through the Internet (step S701), and then performs an initialization process, and provides various uses according to the rights and user data of the plurality of users logging in to the online financial education evaluation system. An initial simulation environment (step S703).

接著,系統定義各使用者於線上理財教學評量系統中之虛擬角色(步驟S705),與各角色會接收到不同的評比條件(步驟S707),也就是系統會賦予不同的角色有不同的要求與罰則,因為各種角色會由不同的數據評比。Next, the system defines each user's virtual role in the online financial education assessment system (step S705), and each role receives different evaluation conditions (step S707), that is, the system assigns different roles to different roles. And penalties, because the various roles will be judged by different data.

接著,各使用者以不同角色產生不同的輸入訊號(步驟S709),經過角色訊號配對,也就是針對複數個使用者端的複數個虛擬角色間訊號之配對(步驟S711),比如買與賣的配對、各投資人與銀行接收政府的命令,經配對後完整命令執行、銀行間的金融商品等,之後同樣可套用不同的訊號模型(步驟S713),經模型配對後,各種訊號即套入不同的波動數據,藉此模擬環境讓各使用者體驗不同的狀況。最後輸出結果(步驟S715),根據不同角色,執行相對的評比程序。Then, each user generates different input signals with different roles (step S709), and is paired by role signals, that is, pairing of signals between a plurality of virtual characters for a plurality of user terminals (step S711), such as pairing of buying and selling. The investors and the bank receive the government's orders, complete the order execution after the pairing, the financial products between the banks, etc., and then different signal models can be applied (step S713). After the model is paired, the various signals are nested in different ways. Fluctuating data, thereby simulating the environment for each user to experience different situations. Finally, the result is output (step S715), and the relative rating procedure is executed according to the different roles.

綜上所述,本發明所提出的線上理財教學評量系統為一具有可擴充、更彈性、較多學習空間的線上理財教學系統,引入教學的概念,使得使用者可以透過電腦模擬出的交易市場環境學型各種投資工具與接近真實世界的交易行為。In summary, the online financial education evaluation system proposed by the present invention is an online financial education teaching system with expandable, more flexible and more learning space, and introduces the concept of teaching, so that the user can simulate the transaction through the computer. Market environment type of investment tools and trading behavior close to the real world.

惟以上所述僅為本發明之較佳可行實施例,非因此即侷限本發明之專利範圍,故舉凡運用本發明說明書及圖示內容所為之等效結構變化,均同理包含於本發明之範圍內,合予陳明。However, the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Therefore, equivalent structural changes that are made by using the specification and the contents of the present invention are equally included in the present invention. Within the scope, it is combined with Chen Ming.

112...客戶端112. . . Client

114...網際網路114. . . Internet

108...電腦中心108. . . Computer center

11...網頁伺服器11. . . Web server

13...投資伺服器13. . . Investment server

15...即時資料伺服器15. . . Instant data server

17...當日資料庫伺服器17. . . Daily database server

19...歷史資料庫伺服器19. . . Historical database server

110...儲存媒體110. . . Storage medium

12...當日資料庫12. . . Day database

14...歷史資料庫14. . . Historical database

21...終端使用者twenty one. . . End user

201,202,203...訊號產生201,202,203. . . Signal generation

20...網路20. . . network

23...訊號模型twenty three. . . Signal model

25...買賣訊號分析伺服中心25. . . Trading Signal Analysis Servo Center

27...參數27. . . parameter

29...輸出結果29. . . Output result

301...輸入訊號301. . . Input signal

305...訊號模型305. . . Signal model

303...輸出結果303. . . Output result

307...參數調整307. . . Parameter adjustment

30...買賣訊號分析伺服中心30. . . Trading Signal Analysis Servo Center

32...模型訊號配對模組32. . . Model signal matching module

34...輸入訊號配對模組34. . . Input signal matching module

36...變數調整模組36. . . Variable adjustment module

38...評比模組38. . . Rating module

401...配對輸出401. . . Paired output

501...輸出結果501. . . Output result

51...歷史模型51. . . Historical model

53...系統產生模型53. . . System generation model

55...即時市場模型55. . . Instant market model

57...外部因素模型57. . . External factor model

503,505,507,509...模型參數503,505,507,509. . . Model parameter

步驟S601~S619線上理財教學評量方法流程Step S601~S619 online financial education evaluation method flow

步驟S701~S717線上理財教學評量方法流程Step S701~S717 online financial education evaluation method flow

第一圖顯示習知技術投資模擬分析系統之示意圖;The first figure shows a schematic diagram of a conventional technology investment simulation analysis system;

第二圖顯示本發明線上理財教學評量系統示意圖;The second figure shows a schematic diagram of the online financial education evaluation system of the present invention;

第三圖顯示本發明線上理財教學評量系統內各模組連接示意圖;The third figure shows a schematic diagram of the connection of each module in the online financial education evaluation system of the present invention;

第四圖顯示本發明線上理財教學評量系統中輸入訊號配對模組示意圖;The fourth figure shows a schematic diagram of an input signal pairing module in the online financial education evaluation system of the present invention;

第五圖顯示本發明線上理財教學評量系統中模型訊號配對模組示意圖;The fifth figure shows a schematic diagram of a model signal matching module in the online financial education evaluation system of the present invention;

第六圖所示為本發明線上理財教學評量方法流程圖之一;The sixth figure shows one of the flowcharts of the online financial education evaluation method of the present invention;

第七圖所示為本發明線上理財教學評量方法流程圖之二。The seventh figure shows the second flow chart of the online financial education evaluation method of the present invention.

301...輸入訊號301. . . Input signal

305...訊號模型305. . . Signal model

303...輸出結果303. . . Output result

307...參數調整307. . . Parameter adjustment

30...買賣訊號分析伺服中心30. . . Trading Signal Analysis Servo Center

32...模型訊號配對模組32. . . Model signal matching module

34...輸入訊號配對模組34. . . Input signal matching module

36...變數調整模組36. . . Variable adjustment module

38...評比模組38. . . Rating module

Claims (15)

一種線上理財教學評量系統,包括:一訊號輸入介面,係為該線上理財教學評量系統接收由一或複數個使用者端之輸入訊號,其中該輸入訊號由各使用者端之終端電腦系統產生;一買賣訊號分析伺服中心,係由一或多個遠端伺服器實現,而該訊號輸入介面提供該一或複數個使用者端透過一網路登入該一或多個遠端伺服器,由該買賣訊號分析伺服中心處理該複數個使用者端之輸入訊號,其中包括:一模型訊號配對模組,係引入一或複數個訊號模型,並將該輸入訊號套入該一或複數個訊號模型中;一輸入訊號配對模組,係執行該複數個使用者端之輸入訊號之配對程序;一變數調整模組,係對經該配對後之訊號進行一或多個變數調整;一評比模組,係根據該線上理財教學評量系統所設定之評比項目,評比經該配對與該變數調整後的訊號;以及一訊號輸出介面,係輸出經評比後的結果。An online financial education evaluation system includes: a signal input interface for receiving an input signal from one or more user terminals, wherein the input signal is from a terminal computer system of each user terminal Generating a signal analysis server, which is implemented by one or more remote servers, and the signal input interface provides the one or more user terminals to log in to the one or more remote servers through a network. The input signal of the plurality of user terminals is processed by the trading signal analysis servo, which comprises: a model signal matching module, which introduces one or more signal models and inserts the input signal into the one or more signals In the model, an input signal matching module performs a pairing process of input signals of the plurality of user terminals; a variable adjustment module performs one or more variable adjustments on the signal after the pairing; The group is based on the evaluation item set by the online financial education evaluation system, and the signal adjusted by the pairing and the variable is evaluated; and a signal output is performed. Surface, the system outputs the result of rating. 如申請專利範圍第1項所述之線上理財教學評量系統,其中該訊號模型包括一歷史模型,具有複數個歷史上特定時段之波動數據;一系統產生模型,為一管理人角色所設定於一或複數個特定時段之波動數據;一即時市場模型,用以引入一即時市場之波動數據;與一外部因素模型,用以引入特定事件產生的波動數據。For example, the online financial education evaluation system described in claim 1, wherein the signal model includes a historical model having a plurality of historical fluctuation data at a specific time period; and a system generating model set for a manager role One or more volatility data for a specific time period; an immediate market model to introduce volatility data for an immediate market; and an external factor model for introducing volatility data generated by a particular event. 如申請專利範圍第1項所述之線上理財教學評量系統,其中該複數個使用者端之輸入訊號於該輸入訊號配對模組中配對成功時,完成一交易。The online financial education assessment system of claim 1, wherein the plurality of user input signals are successfully paired in the input signal pairing module to complete a transaction. 如申請專利範圍第3項所述之線上理財教學評量系統,於完成該交易後,接著透過該變數調整模組調整該交易之輸出訊號,包括該交易過程中產生的成本,再輸入至該評比模組,根據該評比項目進行評量。The online financial education assessment system described in claim 3, after completing the transaction, then adjusting the output signal of the transaction through the variable adjustment module, including the cost incurred in the transaction, and then inputting to the The evaluation module is evaluated based on the evaluation project. 如申請專利範圍第1項所述之線上理財教學評量系統,其中更包括一參數調整模組,用以即時調整該模型訊號配對模組、該輸入訊號配對模組、該變數調整模組與該評比模組中的參數。The online financial education assessment system as described in claim 1 further includes a parameter adjustment module for instantly adjusting the model signal pairing module, the input signal pairing module, the variable adjustment module and The parameters in the evaluation module. 一種線上理財教學評量方法,該方法應用一連線網路之線上理財教學評量系統,其中具有一資料庫,該方法包括:執行一初始化流程,複數個使用者端之終端電腦系統透過一網路連線該線上理財教學評量系統,依據複數個使用者登入該線上理財教學評量系統之權限與儲存於該資料庫之使用者資料,以提供各使用者一初始模擬環境;接收由各使用者端之輸入訊號;執行相對該輸入訊號之一任務;執行一訊號配對程序,係針對該複數個使用者端所輸入的訊號進行配對;執行一模型配對程序,係引入一或多個訊號模型於該線上理財教學評量系統中,使該系統中在一特定時間內之訊號套入該訊號模型;輸出各使用者端之結果;以及評比該結果。An online financial education teaching evaluation method, which uses a networked online financial education evaluation system, which has a database, the method includes: performing an initialization process, and a plurality of terminal computer systems of the user end The online connection of the online financial education assessment system, based on the permissions of a plurality of users logging into the online financial education assessment system and the user data stored in the database, to provide an initial simulation environment for each user; Inputting a signal to each user terminal; performing a task relative to the input signal; performing a signal pairing process to pair the signals input by the plurality of user terminals; performing a model matching procedure, introducing one or more The signal model is in the online financial education evaluation system, so that the signal in the system is inserted into the signal model in a specific time; the result of each user end is output; and the result is evaluated. 如申請專利範圍第6項所述之線上理財教學評量方法,其中該任務為對應一時間點之交易,而於該訊號配對程序中,若配對成功即完成該交易。For example, the online financial education evaluation method described in claim 6 wherein the task is a transaction corresponding to a time point, and in the signal pairing process, if the pairing is successful, the transaction is completed. 如申請專利範圍第6項所述之線上理財教學評量方法,其中該訊號模型為一歷史模型,具有複數個歷史上特定時段之波動數據。For example, the online wealth management teaching evaluation method described in claim 6 wherein the signal model is a historical model having a plurality of historical fluctuation data at a specific time period. 如申請專利範圍第6項所述之線上理財教學評量方法,其中該訊號模型為一系統產生模型,為一管理人角色所設定於一或複數個特定時段之波動數據。For example, the online financial education evaluation method described in claim 6 is wherein the signal model is a system generation model, and the fluctuation data set for one or a plurality of specific time periods for a manager role. 如申請專利範圍第6項所述之線上理財教學評量方法,其中該訊號模型為一即時市場模型,用以引入一即時市場之波動數據。For example, the method for assessing online financial education described in claim 6 wherein the signal model is an instant market model for introducing an instantaneous market fluctuation data. 如申請專利範圍第6項所述之線上理財教學評量方法,其中該訊號模型為一外部因素模型,用以引入特定事件產生的波動數據。For example, the online financial education evaluation method described in claim 6 wherein the signal model is an external factor model for introducing fluctuation data generated by a specific event. 一種線上理財教學評量方法,該方法應用於一連線網路之線上理財教學評量系統,包括:執行一初始化流程,依據複數個使用者登入該線上理財教學評量系統之權限與使用者資料,提供各使用者一初始模擬環境;定義各使用者於該線上理財教學評量系統中之虛擬角色;接收由一管理人所設定之評比條件;接收各使用者端之輸入訊號,並執行相對該輸入訊號之一任務,該任務係為對應一時間點之交易行為;執行一訊號配對程序,係針對該複數個使用者端所輸入的訊號進行配對,包括複數個虛擬角色間訊號之配對;經運作一段時間後,輸出各使用者端之結果;以及評比該結果。An online financial education teaching evaluation method, which is applied to a online financial education teaching evaluation system of a connected network, comprising: performing an initialization process, and privilege and user according to a plurality of users logging in to the online financial education evaluation system Data, providing each user with an initial simulation environment; defining each user's virtual role in the online financial education assessment system; receiving the evaluation conditions set by a manager; receiving input signals from each user and executing Relative to the task of the input signal, the task is a transaction behavior corresponding to a time point; performing a signal pairing process for pairing the signals input by the plurality of user terminals, including pairing of signals between the plurality of virtual characters After a period of operation, output the results of each user end; and evaluate the result. 如申請專利範圍第12項所述之線上理財教學評量方法,其中該虛擬角色至少包括由各使用者端虛擬一買方角色與一賣方角色。The online financial education evaluation method according to claim 12, wherein the virtual character comprises at least a virtual buyer role and a seller role by each user end. 如申請專利範圍第12項所述之線上理財教學評量方法,其中於該執行該訊號配對程序之步驟後,執行一模型配對程序,引入一或多個訊號模型於該線上理財教學評量系統中,使該系統中在一特定時間內之訊號套入該訊號模型。For example, in the online financial teaching evaluation method described in claim 12, after the step of executing the signal pairing procedure, a model matching procedure is executed, and one or more signal models are introduced in the online financial teaching evaluation system. The signal in the system for a specific time is nested in the signal model. 如申請專利範圍第14項所述之線上理財教學評量方法,其中該訊號模型包括一歷史模型,具有複數個歷史上特定時段之波動數據;一系統產生模型,為一管理人角色所設定於一或複數個特定時段之波動數據;一即時市場模型,用以引入一即時市場之波動數據;與一外部因素模型,用以引入特定事件產生的波動數據。For example, the online financial education evaluation method described in claim 14 wherein the signal model includes a historical model having a plurality of historical fluctuation data at a specific time period; a system generating model set for a manager role One or more volatility data for a specific time period; an immediate market model to introduce volatility data for an immediate market; and an external factor model for introducing volatility data generated by a particular event.
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US20050086187A1 (en) * 1999-02-05 2005-04-21 Xfi Corporation Apparatus and methods for a computer-aided decision-making system
TW200622754A (en) * 2004-12-23 2006-07-01 Jiun-Jang Chen Teaching platform integrating electronic commerce and financial management skill through game and method thereof
TWM353444U (en) * 2008-08-12 2009-03-21 Shin An De Internat Financial Consulting Co Ltd Assembly of interactive teaching tool set for teaching children the concept of financial wealth distribution

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050086187A1 (en) * 1999-02-05 2005-04-21 Xfi Corporation Apparatus and methods for a computer-aided decision-making system
TW200622754A (en) * 2004-12-23 2006-07-01 Jiun-Jang Chen Teaching platform integrating electronic commerce and financial management skill through game and method thereof
TWM353444U (en) * 2008-08-12 2009-03-21 Shin An De Internat Financial Consulting Co Ltd Assembly of interactive teaching tool set for teaching children the concept of financial wealth distribution

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