TW201351331A - Method for processing trade finance information and electronic apparatus thereof - Google Patents

Abstract

A method for processing financial transaction data and an electronic apparatus thereof are provided. In the method, a specified period is decided according to a price tendency chart for obtaining a plurality of buy-in and sell-out transaction receipt data matched the specified period from a financial transaction database. Interval statistical data corresponding to each of securities firms is computed according to the obtained buy-in and sell-out transaction receipt data. And the interval statistical data corresponding to each of securities firms is displayed. Accordingly, the method is provided for users to use for evaluating a profit and loss and operating strategies.

Description

Financial transaction data processing method and electronic device

The present invention relates to a data processing method and an electronic device, and more particularly to a financial commodity transaction data processing method and an electronic device.

As the standard of living of Chinese people is getting higher and higher, investment and financial management are getting more and more attention. Therefore, there are many brokers and banks offering a variety of financial products for investors to choose, such as funds, stocks, futures, foreign exchange, bonds, options, and warrants and other financial products. Among them, the stock market is an economic activity with high importance, sensitivity and index. Because of its high sensitivity, it is affected by domestic and foreign political and economic conditions, so stock trading is considered to be a high risk and high profit. Financial goods.

However, there is currently no effective analysis system that can help investors analyze trends in the stock market, such as the steady growth of the stock market and the stability of stock market volatility. This allows investors to judge subjectively whether the stock market of the broker is worth investing based on the past performance of the stock market, based on the statistics of the number of purchases, the number of sheets sold, and the user's rule of thumb. The direction of investment. Therefore, investors cannot objectively and digitally judge the trend of the stock market. Such investment methods will bring high risks and high costs to investors.

The invention provides a method for processing financial transaction data and electronic equipment According to the price fluctuation trend, the statistics of the brokerage transaction can be provided and the stock transaction of the brokerage dealer can be tracked, thereby assisting the user in the allocation of the investment amount in the investment operation decision.

The invention provides a method for processing financial transaction data, which is suitable for an electronic device having a processing unit. In this processing method, a price trend graph is displayed, which includes a trend bar for a plurality of trading periods. According to the user's selection, the selection is made in these trend bars, and then a plurality of non-continuous trend bars are taken out, so that the trading period corresponding to the selected trend bar is taken as the designated time period. Moreover, from the financial transaction database, multiple inbound and outbound details that meet the specified time period are obtained. According to the obtained entry and exit details, the respective interval statistics of the multiple brokers who traded in the specified time period are respectively calculated. In addition, the interval statistics of each broker are displayed.

In an embodiment of the present invention, after the step of separately calculating the interval statistics of each broker that performs the transaction in the specified time period, the statistics and the first threshold in the interval statistics may be compared, and the statistics will be The brokers whose amount exceeds the first threshold are used as tracking targets to continuously retrieve the entry and exit details of the tracking objects from the financial transaction database. In addition, after the step of displaying the interval statistics of each broker, the one of the brokers may be selected as the tracking object according to the user's selection, so as to continuously retrieve the entry and exit details of the tracking object from the financial transaction database.

In an embodiment of the present invention, the price trend graph includes a trend trace obtained by the trend bar, and after the step of displaying the price trend graph, further includes determining whether there is a rising band or a falling band in the trend line, wherein the rising band Or the number of trend bars included in the falling band is greater than the preset number. If There is a rising band or a falling band, and the trend bar included in the rising band or the falling band is selected. The trading period corresponding to the selected trend bar is taken as the specified time period.

In an embodiment of the invention, the processing method further includes providing a statistical interface. Here, the statistical interface includes interval statistics of each brokerage and a graphical trend chart of each brokerage, wherein the graphical trend chart is obtained based on historical inventory data of each broker. In the statistical interface, a plurality of tracking functions are established to correspond to each broker, and when one of the tracking functions is enabled, the broker whose tracking function is enabled is used as the tracking object.

In one embodiment of the invention, the statistic is one of the number of buys, the number of sells, the number of buys and sells, and the trade-to-trade ratio. In the step of continuously extracting the entry and exit details of the tracking object, the entry and exit details of the tracking object can be obtained from the financial transaction database at intervals of time to calculate the interval statistics of the tracking object within the time range. And, the calculated value and the second threshold value between the number of purchases and the number of sells in the time range of the tracking object are compared. A warning signal is displayed when the calculated value exceeds the second threshold.

In an embodiment of the present invention, in the step of continuously extracting the entry and exit details of the tracking object, the entry and exit details of the tracking object at the specified time period and the inbound and outbound details obtained at intervals of time may be accumulated. And get the cumulative statistics.

In an embodiment of the present invention, in the step of selecting among the trend bars according to the user's selection, when the first designated button is detected (for example) When the button "Ctrl" is continuously pressed, a plurality of non-continuous trend bars are taken out according to a plurality of mouse selection commands received while the first designated button is continuously pressed. In addition, when it is detected that a second designated button (for example, the button "Shift") is continuously pressed, the plurality of consecutive trend bars are taken out according to the mouse drag command received during the continuous pressing of the second designated button. .

The invention provides an electronic device, which comprises a data acquisition module, a statistics module, a display module and a designated time period module. The data acquisition module obtains multiple entry and exit details in accordance with the specified time period from the financial transaction database. The statistical module separately calculates the interval statistics of each of the plurality of brokers trading in the specified time period according to the obtained entry and exit details. The display module displays the respective interval statistics of the brokers and displays a price trend graph, which includes the trend bars of the respective trading periods. The specified time period module selects among the trend bars according to the user's selection, and then takes out a plurality of non-continuous trend bars, and takes the trading time period corresponding to the selected trend bar as the designated time period.

In an embodiment of the invention, the electronic device further includes a determination module and an interface providing module. The judging module will compare one of the statistics and the first threshold in the statistics of the interval to use the brokers whose statistics exceed the first threshold as the tracking object, so as to continuously retrieve the entry and exit of the tracking object from the financial transaction database. Detailed information. The interface providing module provides a statistical interface and is displayed by the display module. The statistical interface includes the respective interval statistics of the brokers and the respective graphical charts of the brokers, wherein the graphical charts are obtained based on the historical data of the stocks of the respective brokers. And, the interface provides modules to establish multiple traces on the statistical interface. The functions correspond to the brokers respectively, and when one of the tracking functions is enabled, the brokers whose tracking functions are enabled are tracked.

In an embodiment of the present invention, the above statistics are one of the number of purchases, the number of sells, the number of purchases and the total amount of purchases and sales. The electronic device further includes a prompt module and a tracking module. The alert signal is prompted by the prompt module. Moreover, the tracking module is used to notify the data acquisition module at every other time range, so that the data acquisition module obtains the entry and exit details of the tracking object from the financial transaction database, and uses the statistical module to count the tracking object in the time range. Interval statistics within. According to this, the tracking module can compare the calculated value and the second threshold between the number of purchases and the number of times of the tracking object in the time range, so as to notify the prompt mode when the calculated value exceeds the second threshold. group.

Based on the above, the electronic device can compare the statistics and the first threshold in the interval statistics by obtaining a plurality of entry and exit details in the specified time period and corresponding interval statistics. Moreover, if the statistic in the interval statistic exceeds the first threshold, the electronic device may further track the broker corresponding to the statistic and prompt a warning signal. In this way, the user can easily view the stock ups and downs corresponding to each broker from the interval statistics, and can track the specific brokers by warning signals. Thereby, the user can assist the allocation of the investment amount when investing in the operation decision.

The above described features and advantages of the present invention will be more apparent from the following description.

1A and 1B are block diagrams of an electronic device according to an embodiment of the invention. In the embodiment, the electronic device 100 is, for example, a personal computer, a notebook computer, a personal digital assistant (PDA), a stock machine, a mobile phone, or other electronic device having a mobile communication function, and is not limited to the above.

In FIG. 1A , the electronic device 100 includes a data acquisition module 110 , a statistics module 120 , a display module 130 , and a designated time period module 170 . In addition, in FIG. 1B, the electronic device 100 further includes a processing unit 101, and further includes a determining module 140, a tracking module 150, a prompting module 160, and an interface providing module 180. The processing unit 101 is coupled to the data acquisition module 110, the statistics module 120, the display module 130, the determination module 140, the tracking module 150, the prompt module 160, the specified time period module 170, and the interface providing module 180. The above modules may be code written by a programming language or a separate chip.

For example, the data acquisition module 110, the statistics module 120, the display module 130, the determination module 140, the tracking module 150, the prompt module 160, the specified time period module 170, and the interface providing module 180 may be programs. The code written by the language, and the code is stored in a storage unit (not shown) for execution by the processing unit. The above storage unit is, for example, a non-volatile memory, a flash memory or a hard disk.

Alternatively, the data acquisition module 110, the statistics module 120, the display module 130, the determination module 140, the tracking module 150, the prompt module 160, the specified time period module 170, and the interface providing module 180 are respectively configured by various logic gates. The independent wafers are respectively coupled to the processing unit 101 and are transparent The unit 101 can control each of the above wafers.

The data acquisition module 110 is configured to obtain, from the financial transaction database 107, a plurality of entry and exit details that meet the specified time period. For example, the electronic device 100 includes a transmission interface 105 coupled to the processing unit 101. The electronic device 100 is connected to the financial transaction database 107 through the transmission interface 105. Accordingly, through the transmission interface 105, the data acquisition module 110 can obtain from the financial transaction database 107 a plurality of times corresponding to a specified time period (for example, a period of the entire month of March or a period between 3/1 and 3/20) Pens in and out of the details. Here, the transmission interface 105 is, for example, a mobile communication network such as a General Packet Radio Service (GPRS), a third-generation mobile communication network, a wireless local area network such as WiFi (Wireless Fidelity), and a global interoperable microwave storage. Take a wireless wide area network such as Worldwide Interoperability for Microwave Access (WiMax) or a local area network (LAN) with a wired connection.

In addition, the source of the financial transaction database 107 is obtained, for example, as a stock exchange, to provide entry and exit details of the securities transaction, stock market real-time quotes or stock transaction history records, and the like, but is not limited thereto. In this embodiment, the entry and exit details obtained by the data acquisition module 110 can provide transaction records for buying super-buy brokers and selling super-brokers, for example, "stock code", "serial number", and "transaction price" corresponding to the stocks held by each broker. , "quantity", "number of coupons", "transaction method" and "transaction day".

The statistics module 120 can separately count the entry and exit details obtained by the data acquisition module 110, and separately count the plurality of brokers that perform transactions in a specified period of time. From the interval statistics. That is to say, the statistic module 120 can count the number of purchases, the number of times of the sale, the number of purchases, etc. of each broker according to the entry and exit details of the specified time period, and can further press the brokers according to the number of purchases or sells. The frequency of sorting can also be calculated, and the trading of each brokerage account exceeds the total transaction volume and the inventory trend graph.

In this embodiment, the interval statistics can lock the shareholding situation of the brokers in a certain period of time in a certain period of time. For example, when a stock is booming for a period of time, it can be set in the entry and exit details, the period between the rise of individual stocks and the period after the stocks rise, as the specified time period, and then obtain the interval statistics. Information, and can calculate which brokers buy a lot for this stock. In this way, if these brokers who have previously bought a lot of money start to sell overtime, the user can refer to the interval statistics as a criterion, and the interval statistics can be used to assess whether the chips of the main players have begun to loosen.

The display module 130 is configured to display interval statistics of each broker. For example, the display module 130 can display the interval statistics of each broker in a statistical interface according to the statistical results in the statistical module 120. Here, the display module 130 is, for example, a Thin Film Transistor Liquid Crystal Display (TFT LCD), a Color-Twisted Nematic (STN) liquid crystal display, a plasma display, a projector or a monitor, and the like. . The above statistical interface includes the respective section statistics of the brokers and the historical inventory data of the brokers, and the respective statistics or stock historical data of the brokers can also be sorted according to their respective interval statistics.

In addition, the display module 130 can also display a price trend graph of each broker. Here, the price trend graph includes the respective trend bars of the plurality of trading periods and the trend lines obtained by the trend bars. The price trend graph is, for example, a Candlestick Chart, and the trend bar is, for example, a K stick.

The specified time period module 170 selects at least one trend bar in the price trend graph to use the trading time period corresponding to the selected trend bar as the designated time period. In this way, the display module 130 can display the price trend graph within the specified time period according to the trend bar selected by the specified time period module 170.

For example, the specified time period module 170 can select among the trend bars according to the user's selection, select a plurality of consecutive trend bars, or jump to select a plurality of discontinuous trend bars. Alternatively, the specified time period module 170 can automatically select among these trend bars. For example, the specified time period module 170 determines whether there is a rising band or a falling band in the trend line. Here, the number of trend bars included in the rising band or the falling band is greater than a predetermined number. If there is a rising band or a falling band, the specified time period module 170 can automatically select the trend bar included in the rising band or the falling band.

The judging module 140 can compare one of the statistics and the first threshold in the interval statistics to use the broker whose statistic exceeds the first threshold as the tracking target, and continuously capture the entry and exit details of the tracking object. For example, the interval statistics include multiple statistics, including the number of purchases, the number of sales, the number of purchases and the total number of transactions, and so on. It is assumed that the statistics to be compared are set in advance (or determined by the user) as the purchase and sale excess. Through the judgment module 140, it is compared whether the excess amount of each broker's purchase and sale exceeds the first threshold, so as to exceed the excess amount of the purchase and sale. The first devaluation brokerage is used as the tracking target.

In addition, the tracking module 150 can notify the data acquisition module 110 every other time range, and enable the data acquisition module 110 to obtain the entry and exit details of the tracking object from the financial transaction database 107. After that, the tracking module 150 can use the statistics module 120 to count the interval statistics of the tracking object within the time range. For example, the tracking module 150 can compare the calculated value and the second threshold between the number of purchases and the number of times the tracking object is within this time range. The calculated value is, for example, the amount of difference between the number of purchases and the number of times sold, or the sum of the sums. When the calculated value exceeds the second threshold, the tracking module 150 can notify the prompting module 160 to cause the prompting module 160 to prompt a warning signal to remind the user.

In addition, the interface providing module 180 is configured to establish a plurality of tracking functions on the statistical interface of the display module 130 to respectively correspond to each broker, and when one of the tracking functions is enabled, the interface providing module 180 is The brokers whose tracking function is enabled are tracked. For example, when the statistic of the comparison module 140 exceeds the first threshold, the tracking function corresponding to the broker whose statistic exceeds the first threshold is enabled. Alternatively, the tracking function of the broker to be tracked can be enabled by the user (for example, directly clicking the tracking function on the statistical interface).

The electronic device 100 is used to describe the processing method of the financial transaction data. 2 is a flow chart of a method for processing a method according to an embodiment of the invention. The test method in this embodiment is applicable to the electronic device 100 having the processing unit 101. For example, the electronic device 100 can execute a plurality of program tools by using the processing unit 101, thereby implementing the following processing methods. The steps of the law.

Referring to FIG. 1 and FIG. 2 simultaneously, in step S201, a price trend graph is displayed on the display through the display module 130. And, in step S203, a plurality of non-continuous trend bars are selected, whereby the transaction period corresponding to the selected trend bar is taken as the designated time period. For example, when it is detected that a designated button (for example, the button "Ctrl") is continuously pressed, a plurality of non-continuous trend bars are taken out according to a plurality of mouse selection commands received during a period in which the designated button is continuously pressed. That is to say, during the continuous pressing of the button "Ctrl", the user can make a non-continuous selection in the price trend graph by left mouse button.

In addition, when it is detected that the second designated button (for example, the button "Shift") is continuously pressed, a plurality of consecutive trend bars are taken out according to the mouse drag command received during the continuous pressing of the second designated button. That is to say, during the continuous pressing of the button "Shift", the user can drag the price trend graph by dragging the left button to circle a plurality of consecutive trend bars in a range.

Here, the price trend graph is, for example, a K-line graph, and the trend bar is, for example, a K-bar. For example, FIG. 3A is a schematic diagram of a price trend diagram according to an embodiment of the invention. The price trend map of this embodiment is, for example, a K-line chart, and the trend bar is, for example, a K-bar. Referring to FIG. 3A, the structure of the K-bars K1, K2, K3, and K4 can provide information on the opening or closing of the stock. K sticks can be divided into "yang line", "yin line" and "neutral line". The positive line represents the closing price is greater than the opening price, the negative line represents the opening price is greater than the closing price, and the neutral line represents the opening price equal to the closing price. The K-line chart is a combination of K-bars at various unit times in a certain period of time, which can provide a trend of rising or falling stocks. The horizontal axis of the middle K-line diagram is time, and the vertical axis is the price corresponding to the stock.

In this embodiment, the specified time period module 170 may use the transaction period corresponding to the selected K-bar as the designated time period. For example, the user can select K rods K1, K2, K3, and K4, respectively, and the designated time period module 170 will use the trading period corresponding to the K rods K1, K2, K3, and K4 as the designated time periods, respectively. Alternatively, the trading period in the continuous section between the K-bars K1 and K2 and the trading period of the K-bar K3 may be selected as the designated time period.

Alternatively, a separate K-bar or multiple consecutive segments can be selected. For example, the user can select the K rod included between the K rods K1 to K2 and select the K rod included between the K rods K3 to K4, and the designated time period module 170 will be between the K rods K1 to K2. The corresponding trading period and the trading period corresponding to the K bar K3 to K4 come as the specified time period.

In addition, the K-line diagram also includes trend traces obtained by a plurality of K-bars and average trend traces, wherein the trend traces may include a plurality of rising or falling bands, and the K-bars included in the rising or falling bands When the quantity is greater than the preset quantity, it can be regarded as the reference value. For example, the specified time period module 170 can automatically determine whether there is a rising band or a falling band in the trend line, and if there is a rising band or a falling band in the trend line, the specified time period module 170 can select the rising band or the falling band to include A plurality of K-bars, and the trading period corresponding to the selected K-bar is taken as the designated time period.

FIG. 3B is a graph showing a price trend according to an embodiment of the invention. Referring to FIG. 3B, the specified time period module 170 can automatically determine the K-line diagram. The falling band (that is, the band between the K rods K5 and K6), and then the trading period corresponding to the K rod included between the K rods K5 and K6 is selected as the designated period. In this way, the data acquisition module 110 can set the specified time period according to the judgment of the specified time period module 170 or the user's selection, and further obtain the entry and exit details within the specified time period.

Returning to FIG. 2, next, in step S205, the data acquisition module 110 can obtain a plurality of entry and exit details that meet the specified time period from the financial transaction database 107. For example, the control data obtaining module 110 may retrieve the entry and exit details of each broker in the financial transaction database 107 according to the specified time period selected by the user, wherein the entry and exit details may include the purchase of stocks. Information on the proportion of imports, sales, purchases, and transactions, and the corresponding stock brokers.

Then, in step S207, the statistic module 120 can separately calculate the interval statistic of each of the plurality of brokers that conduct the transaction in the specified time period according to the obtained entry and exit details. That is to say, the statistics module 120 may perform statistics on the stock transactions of the brokers according to the specified time period obtained in step S203. For example, the statistic module 120 can calculate the number of purchases, the number of times of purchase, the number of purchases, and the like of each broker, and can further sort the brokers according to the number of purchases or the frequency of the second sale, and can also calculate The trading of various brokers exceeds the graphical graph of total turnover and inventory. In this way, the user can refer to the interval statistics to evaluate the stock in and out frequency of each broker.

Then, in step S209, the respective section statistics of the brokers are displayed through the display module 130. For example, the interface providing module 180 provides a statistical interface for displaying the respective intervals of the brokers through a statistical interface. Data. For example, FIG. 4A and FIG. 4B are schematic diagrams showing a statistical interface according to an embodiment of the invention.

4A and 4B, the interval statistics provided by the statistical interface may include the number of purchases 402, the number of sells 403, the number of purchases and sales 404, and the total amount of transactions 405 and the graphical trend 406. Here, the graphical trend 406 is obtained based on the inventory history data of each broker. In addition, the interface statistics module 180 can sort the brokers according to their respective interval statistics, and display the sorted results on the statistical interface through the display module 130. For example, sorting is based on the number of purchases, as shown in FIG. 4A. Or, sort according to the number of sells, as shown in FIG. 4B.

In FIG. 4A, the interface statistics module 180 sorts the interval statistics of the brokers according to the number of purchases, from large to small. In FIG. 4B, the interface statistics module 180 sorts the interval statistics of the brokers according to the number of sells, from large to small. In this way, the user can check the frequency of the stock entry and exit of the brokerage in the specified interval, and use the frequency of the stock entry and exit as the reference for the investment.

In addition, here, the judging module 140 may further compare the statistic and the first threshold in the interval statistic to determine whether one of the brokers is to be tracked. For example, the judging module 140 may compare the first threshold value according to one of the number of purchases, the number of sells, the number of purchases and the total number of purchases and the total transaction rate. Here, the selected statistic may be selected by the user or may be a preset statistic, and the first threshold may also be set by the user or preset.

If the judging module 140 determines that the statistic of the comparison exceeds the first threshold, the judging module 140 may use the broker corresponding to the statistic as the tracking target to continuously retrieve the entry and exit details of the tracking object. For example, when the judging module 140 judges that the statistic of the comparison exceeds the first threshold, the corresponding broker can be recorded into a tracking list.

For example, the determination module 140 can determine whether the purchase and sale excess exceeds the first threshold. Alternatively, the judging module 140 may further determine whether to withdraw the super-buy broker or the super-buy broker according to the ups and downs trend. For example, suppose that after counting the entry and exit situations of 1/5~1/16, the judgment module 140 can further detect the brokers who are buying over each time the stock price rises. Assume that the judgment module 140 detects that each time the stock price rises, the brokerage A is in the case of buying over, and the brokerage A purchases less the number of sells than the first threshold, and then the broker A Tracking objects included in the multi-party tracking list. At this time, if the judging module 140 detects that the brokers B are all oversold, the broker B can also be listed as the tracking object in the empty tracking list.

In addition, the interface providing module 180 can also establish a plurality of tracking functions on the statistical interface to respectively correspond to the respective brokers, so that the user can decide which brokers to list as the tracking objects. When the tracking function is enabled, the brokers whose tracking function is enabled are tracked. For example, referring to FIG. 4A and FIG. 4B, each broker in the statistical interface respectively has a tracking function (for example, “joining tracking list” under the broker name) to provide the user to select whether to list the broker as Track the object.

After the brokerage is included in the tracking object, the tracking module 150 can also pass through the time interval (for example, in the next week or a month). The knowledge acquisition module 110 obtains the entry and exit details of the tracking object from the financial transaction database 107. Moreover, the judging module 140 can also perform cumulative statistics on the multiple entry and exit details of the tracking object in the specified time period and the inbound and outbound data obtained in each time range, and obtain the accumulated statistical data. For example, the graphical trend 406 shown in Figures 4A and 4B. Therefore, the user can view the changes of the stock transactions of the brokers within the specified time period and the tracking time range from the graphical trend map 406.

In addition, the statistics module 120 can also be used to calculate the interval statistics of the tracking object in the time range, and then, for example, the tracking module 150 can further compare the number of purchases and the number of times of the tracking object in the time range. The calculated value between the two and the second threshold. When the calculated value exceeds the second threshold, the tracking module 150 can notify the prompting module 160 to prompt the warning signal, such as a text display or an audible prompt.

That is to say, the user can set a second threshold value to check whether the calculated value between the number of purchases and the number of sells of the stock transaction exceeds the set second time in the time range of the broker as the tracking target. Threshold value. Here, the first threshold value and the second threshold value may be the same or different, and may be determined by a statistical comparison. Moreover, when the calculated value exceeds the second threshold, the alert module 160 can be prompted to display a warning signal, such as a text display or an audible prompt.

For example, suppose the brokerage A is in the case of a purchase overtime each time the stock price rises, and the calculated number of purchases minus the number of sells exceeds the first threshold. After the brokerage company A is listed as the tracking target, the tracking module 150 can continue to track the trading situation of the brokerage company A. If the brokerage company A is tracking Within the time range, there are still a large number of purchases (for example, the number of purchases minus the calculated value of the number of sales exceeds the second threshold), and the prompt module 160 can be notified immediately to prompt a warning signal.

In summary, in the above embodiment, the multiple price entry and exit details in the specified time period are automatically obtained from the financial transaction database in conjunction with the price trend map, and then the respective interval statistics of the plurality of brokers are counted.

In addition, non-continuous trend bars (such as K-bars) can be individually selected, and the statistical results are displayed in a graphical interface, thereby performing jump analysis in the manner of "K-bar group", thereby obtaining individual K-rods of interest. The brokers entered and changed. This is because the K stick itself is a trend bar with messages, so it is possible to help users find the connection between the message and the message through individual selection and grouping. By selecting the trend bar of interest, it is possible to determine whether the stock price change in the same direction is “the same main force”.

In addition, a tracking function is provided, and the brokers to be tracked are included in the tracking object, so as to continuously extract the entry and exit details of the brokers who are tracking objects. In this way, the user can check the frequency of stock trading in and out from the respective section statistics of each broker, and then analyze the trend of stocks rising and falling. And, through the tracking function, you can instantly get the transaction status of the tracking object. Thereby, the user can assist the allocation of the investment amount when investing in the operation decision.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the invention, and any one of ordinary skill in the art can make some modifications and refinements without departing from the spirit and scope of the invention. The scope of the invention is defined by the scope of the appended claims.

100‧‧‧Electronic devices

101‧‧‧Processing unit

105‧‧‧Transport interface

107‧‧‧Financial Transaction Database

110‧‧‧ Data Acquisition Module

120‧‧‧Statistical Module

130‧‧‧Display module

140‧‧‧Judgement module

150‧‧‧Tracking module

160‧‧‧Tips module

170‧‧‧Designated time module

180‧‧‧ interface providing module

402‧‧‧Buy times

403‧‧‧Sells

404‧‧‧Sales and sales over quantity

405‧‧‧Sales and sales accounted for the total transaction rate

406‧‧‧Graphical Chart

K1, K2, K3, K4, K5, K6‧‧‧K

S201~S209‧‧‧Methods for processing financial transaction data

1A and 1B are block diagrams of an electronic device according to an embodiment of the invention.

2 is a flow chart of a method for processing a method according to an embodiment of the invention.

3A and 3B are schematic diagrams showing a price trend diagram according to an embodiment of the invention.

4A and 4B are schematic diagrams showing a statistical interface according to an embodiment of the invention.

S201~S209‧‧‧Methods for processing financial transaction data

Claims (10)

A method for processing financial transaction data, which is applicable to an electronic device having a processing unit, the processing method comprising: displaying a price trend graph, the price trend graph including respective trend bars of the plurality of transaction periods; and selecting according to a user Selecting among the trend bars, and taking out a plurality of non-continuous trend bars, so as to select the trading time period corresponding to the selected trend bars as a specified time period; from a financial transaction database, obtaining the matching a plurality of entry and exit details of the specified time period; calculating, according to the obtained entry and exit details, respective interval statistics of the plurality of brokers trading in the specified time period; and displaying the interval statistics of each of the brokers . The processing method of claim 1, wherein after the step of separately calculating the interval statistics of the plurality of brokers that are trading in the specified time period, the method further comprises: comparing a statistic in the interval statistics And the first threshold value; and the broker that the statistic exceeds the first threshold is used as a tracking object to continuously retrieve the entry and exit details of the tracking object from the financial transaction database. The processing method of claim 1, wherein after the step of displaying the interval statistics of each of the brokers, the method further comprises: selecting one of the brokers as one according to the user's selection. Tracking the object to continuously retrieve the entry and exit details of the tracking object from the financial transaction database. The processing method of claim 1, wherein the price trend graph includes a trend trace obtained by the trend bars, and after the step of displaying the price trend graph, the method further comprises: determining the trend trace Whether there is a rising band or a falling band, wherein the number of the trend bars included in the rising band or the falling band is greater than a predetermined number; if the rising band or the falling band is present, selecting the rising band or the The trend bars included in the falling band; and the trading period corresponding to the selected trend bars are taken as the specified time period. The processing method of claim 1, further comprising: providing a statistical interface, wherein the statistical interface includes the respective section statistics of the brokers and respective graphical charts of the brokers, wherein the graphical trend The figure is obtained according to the respective inventory history data of the brokers; and in the statistical interface, a plurality of tracking functions are established to respectively correspond to the brokers, and when one of the tracking functions is enabled, The broker who has enabled the tracking function is the subject of the tracking. The processing method of claim 1, wherein the statistic includes one of a number of purchases, a number of sells, a purchase and sale amount, and one of the purchase and sale ratios, and continuously captures the tracking object. The steps to access the details include: Obtaining the entry and exit details of the tracking object from the financial transaction database every other time range, to calculate the interval statistics of the tracking object within the time range; and comparing the tracking object to the time range a calculated value between the number of purchases and the number of sales and a second threshold; and when the calculated value exceeds the second threshold, an alert signal is prompted. The processing method of claim 6, wherein the step of continuously extracting the entry and exit details of the tracking object further comprises: the entry and exit details of the tracking object during the specified time period and every other time range The obtained inbound and outbound data are collected for cumulative statistics to obtain a cumulative statistical data. The processing method of claim 1, wherein selecting the trend bar according to the user's selection further comprises: when detecting that a first designated button is continuously pressed, according to the a plurality of mouse selection commands received during a period in which the designated button is continuously pressed to take out the non-continuous trend bars; and when detecting that a second designated button is continuously pressed, according to the second designated button A mouse drag command received during the continuous pressing period is taken out of a plurality of consecutive trend bars. An electronic device comprising: a data acquisition module, obtains a plurality of entry and exit details corresponding to a specified time period from a financial transaction database; and a statistical module calculates the data according to the obtained entry and exit details The statistics of each interval of multiple brokers who traded during the specified time period a display module, displaying the respective section statistics of the brokers, and displaying a price trend graph including respective trend bars of the plurality of trading periods; and a specified time period module according to a user The selection is made in the trend bars, and then a plurality of non-continuous trend bars are taken out, and the trading period corresponding to the selected trend bars is taken as the specified time period. The electronic device of claim 9, further comprising: a determining module, comparing a statistic in the interval statistics with a first threshold to exceed the first threshold The brokerage is used as a tracking object to continuously retrieve the entry and exit details of the tracked object from the financial transaction database, wherein the statistic includes a number of purchases, a number of sells, a purchase and sale amount, and a transaction amount One of the interfaces; an interface providing a module, providing a statistical interface for display by the display module, wherein the statistical interface includes the statistics of the respective sections of the brokers and the respective graphical trends of the brokers The figure, wherein the graphical trend is obtained according to the respective inventory history data of the brokers; and the interface providing module establishes a plurality of tracking functions on the statistical interface to respectively correspond to the brokers, and When one of the tracking functions is enabled, the broker that has enabled the tracking function is used as the tracking target; a prompting module prompts a warning signal; And the tracking module notifying the data acquisition module every other time range, obtaining the entry and exit details of the tracking object from the financial transaction database, and using the statistical module to calculate the tracking object in the time range Inside The interval statistic, wherein the tracking module compares the calculated value between the number of purchases and the number of sales in the time range of the tracking object with a second threshold value to exceed the calculated value When the second threshold is reached, the prompting module is notified to prompt the warning signal.