TWI579789B - Device and method of variable-frequency updating of a real time run chart of stock quoting software - Google Patents

Description

Device and method for updating the frequency conversion data of financial products

The invention relates to a financial commodity quotation software, in particular to a device and method for updating the frequency conversion data of a real-time chart of a financial product.

The real-time chart of the financial commodity quotation software (Run Chart, or Trend Chart, also known as the time-sharing chart, which is a type of line chart) is to immediately put the transaction price of financial products in a curve (also known as a broken line). The graph recorded on the graph, whose X-axis (horizontal axis) represents time, is also called time axis, and the Y-axis (vertical axis) represents the price of financial products (or index, such as weighted index).

Referring to Figure 1A, see the schematic diagram of the real-time trend chart of financial commodity quotation software (1). The illustration shows Apple's iPhone as an example. The real-time chart of the financial commodity quotation software 10 is shown in Figure 12, and its timeline is fixed due to market trading time. Unchanged, the trading hours of the Taiwan stock market (excluding futures, ie the spot market) are from 9:00 am to 13:30 pm, so it is marked with a fixed time scale. The drawing method of the real-time chart 12 is based on the chronological order, and the transaction price of the financial product is marked one by one in the coordinate map, and all the marked points are connected in a line, that is, the price line 14 is.

The so-called real-time chart 12 is not really "instant" update data, taking the Apple iPhone 4/4S as an example, the screen pixel (Pixel) is 960x640, if the financial product quotation software 10 is a straight display (as shown in Figure 1A), Deducting the space occupied by the white space and the legend, the maximum width of the real-time chart 12 is about 480~560 pixels, assuming that the width of the real-time chart 12 is 540 pixels, that is, its time axis. Up to 540 points can be marked on the Taiwanese The stock market trading time is 4.5 hours (converted to 16200 seconds), although it can only be drawn a little (one pixel) every 30 seconds, even if it is updated in real time, that is, one point (one pixel) on the time axis represents 30 seconds. It can be seen that the problem with the technology is that the data update is not immediate enough, especially when the price of financial products fluctuates greatly, there will be distortion problems.

Referring to Figure 1B, see the schematic diagram of the real-time trend chart of financial commodity quotation software (2). This is the real-time trend chart of a futures commodity (the recent period of the Taiwan index period). The trading time of the Taiwan futures market is longer than the spot trading time. It opened 15 minutes earlier than the spot, and closed 15 minutes later. The total trading time is 5 hours (converted to 18000 seconds), so the timeline indication of this chart is different from the spot (ie TSMC, as shown in Figure 1A). The real-time chart 12 is drawn with the width of the same 540 pixels. Each point on the timeline of the futures represents 33.33 seconds. The price line 14 in the figure contains the data from 08:45 to 09:00, that is, the price line 14 Contains 27 data updates (15 minutes x 60 seconds / 33.33 seconds = 27 times).

Referring to Figure 1C, the schematic diagram of the instant view is enlarged. For the convenience of the following description, this figure is an enlarged view of the instant view 12 in Figure 1B. As can be seen from the figure, even if the instant view 12 is slightly enlarged, the price line 14 for the early morning (shown as 15 minutes after the opening) is still not easily identifiable.

Referring to Figure 1D, another view of the real-time charts and volume of financial commodity quotation software, the only difference between the real-time trend chart 12 and the previous one is that the column (Bar) representing the volume is added below the chart. Figure.

Referring to FIG. 2, a block diagram of the function system of the device is illustrated, which illustrates that the function module related to the real-time chart 12 in the financial product quotation software 10 includes the data receiving module 16 and the trend module 18. The data receiving module 16 is configured to receive the quotation transmitted by the server to the client. The trend chart module 18 is configured to generate a real-time chart 12 of a fixed time axis scale, and update the price line 14 at a fixed frequency according to the quotation data. Since the trend chart module 18 adopts a fixed time axis scale, and the number of times and frequency of data update of the price line 14 depends on the width of the chart and the pixels of the screen, the data update speed and frequency of the chart module 18 per minute All the same. Using the foregoing example, when the chart module 18 generates a real-time chart 12 of a spot item (TSMC, as shown in Figure 1A), the first minute after the opening and any minute of the session, are also the same. Fixed update data (price line 14) twice, the update cycle is fixed for 30 seconds from start to finish.

In summary, the number and frequency of data update of the price line 14 in the real-time trend chart 12 are fixed at any time point. For a financial product with a large price fluctuation at the opening, the information of the real-time chart 12 is not updated enough. Instant, there are problems with distortion at the same time. Therefore, it is necessary to propose a device and method for updating the frequency conversion data of the real-time chart of financial products that can meet the needs of users, so that when the price fluctuation in the early market is large, the price line is updated at a higher frequency to reduce the distortion of the price line. And to improve immediacy, at the same time, zoom in on the timeline scale of the real-time chart of financial products, so that the chart map data is easier to identify.

In view of this, the present invention provides a device and method for updating the frequency conversion data of the real-time chart of financial products, adopting a non-fixed price line update period and number of times, reducing the distortion of the price line and improving the immediacy.

The invention provides a device for updating the frequency conversion data of a real-time financial chart of a financial product, which is applied to a mobile device, comprising: a data receiving module and a frequency conversion updating chart module. The data receiving module receives the quotation data transmitted by the server end to the client. Frequency conversion update trend The graph module generates a real-time graph of a variable time-axis scale, the real-time graph includes a price line updated according to the quotation data, and the variable-frequency update graph module generates a plurality of update periods corresponding to the variable time-axis scale Then, the price line is updated according to the update period and the quotation data corresponding to the variable time axis scale.

The invention provides a method for updating a frequency conversion data of a real-time financial chart of a financial product, which is applied to a mobile device, comprising: downloading a quotation data; generating an instant trend chart of a variable timeline scale according to the quotation data; The update period corresponding to the variable time axis scale in the cycle updates the quotation data to one of the price lines in the instant chart.

The detailed features and advantages of the present invention are set forth in the Detailed Description of the Detailed Description of the <RTIgt; </ RTI> <RTIgt; </ RTI> </ RTI> </ RTI> <RTIgt; The objects and advantages associated with the present invention can be readily understood by those skilled in the art.

Referring to FIG. 3, the financial product real-time graph conversion type data updating device 20 of the present invention comprises a memory 22, a processor 24 and a display module 26. The memory 22 stores the financial commodity quotation software 28; the processor 24 is responsible for executing the financial commodity quotation software 28 in the memory 22; and the display module 26 is configured to display the interface (display) of the financial commodity quotation software 28, and The function of performing touch (touch panel).

Referring to FIG. 4, the financial product quotation software 28 of the present invention comprises: a data receiving module 16 and a variable frequency update chart module 30. The data receiving module 16 receives the quotation data transmitted from the server end to the user end; the variable frequency update chart module 30 generates an instantaneous trend chart 32 of the variable time axis scale, according to the variable time axis scale Length of time It is counted as an update cycle, and the quote data is updated to the price line 14 in the instant chart in the update cycle.

The variable timeline scale cuts a total market trading time into a plurality of cutting periods according to a factor of division, and starts from the beginning of the trading time. When the cutting time is sequentially followed, the cutting period is added one by one. A variable time axis scale is formed, and the variable time axis scale is fixed during the cutting period. The update period is calculated by dividing the cumulative time length of the at least one cutting period corresponding to the variable time axis scale by the pixel of the width of the graph (ie, the resolution).

That is, the varying timeline scale refers to the same length of time (i.e., pixels) on the time axis representing different lengths of time at different points in time. For example, 540 pixels on the timeline, when the futures market just opened, its full length represents 1 hour, when it is in the disk, its full length represents 2 hours, and when it is closed, its full length represents 5 hours. The implementation of this method is to change the total market trading time into several equal periods by the variable frequency update chart module 30. For example, the trading time of the Taiwan futures market is 5 hours, and the frequency conversion update chart module 30 will be 5 The hour is cut into five equal portions (ie, the time for each aliquot is 1 hour). Then, the first cutting period is added for 1 hour in the first hour of the opening, so the full length of the variable time axis is set to 1 hour; after the first hour, the second cutting time is added for 1 hour. The variable timeline scale is set to 2 hours for the full length; after the second hour, the third cutting period is added to the variable timeline scale for 1 hour to set the total length to 3 hours; By analogy, until the full length of the timeline is set equal to the total market trading time. In this embodiment, the rate factor = 5.

The purpose of this method is to horizontally enlarge the data on the time axis. For example, when the full length is divided into five equal parts, the line graph data (ie, the price line 14) in the first hour is equivalent to horizontally magnifying five times. This is a five-fold increase in the number and frequency of data updates. Taking the time axis width of the same 540 pixels as an example, in the Taiwan futures market, I saw the technology update the price line 14 once every 33.33 seconds, and updated 27 times in 15 minutes (15 minutes x 60 seconds / 33.33 seconds = 27 times); while the invention updates the price line 14 once in the first hour at a frequency of 6.67 seconds (ie 60 minutes x 60 seconds / 540 pixels = 6.67), 134 times per 15 minutes in the first hour. (15 minutes x 60 seconds / 6.67 seconds = 134 times), therefore, the present invention can greatly increase the number and frequency of data updates in early trading.

Referring to FIG. 5A, a schematic diagram (1) of an enlarged real-time chart of the first embodiment of the present invention is shown in FIG. 1C. The comparison of the price lines 14 of the prior art is a futures data of 08:45 to 09:00. However, the real-time chart 32 of the present invention adopts a variable time axis scale. When the variable frequency update chart module 30 cuts the total market trading time (futures are 5 hours) into five equal parts, within the first hour (ie, within the first equal time after cutting), the time axis scale in the figure The full length is the period of one aliquot after cutting, ie 1 hour (8:45 to 9:45). At this time, the update period of the price line 14 is 6.67 seconds/time (i.e., 60 minutes x 60 seconds / 540 pixels = 6.67). Compared with the first embodiment of FIG. 1C, it can be seen that the price chart 14 of the present invention has a horizontal magnification when it is in the early stage, so the line drawing data is easier to identify, and at the same time, since the update frequency is higher than the prior art, Can greatly reduce the problem of line graph distortion.

Referring to FIG. 5B, the schematic diagram (2) of the instant trend chart of the first embodiment of the present invention is entered into the second aliquot of the post-cutting period (ie, the second hour) as the transaction time progresses, and the frequency conversion type update chart The module 30 marks the time axis scale of the real-time chart 32 as 2 hours (8:45 to 10:45). At this time, the price line 14 is horizontally compressed by one-half compared with the 5A figure. The update period of the fold line 14 is 13.33 seconds / time (ie 120 minutes x 60 seconds / 540 pixels) =13.33).

Referring to FIG. 5C, the schematic diagram of the instant trend chart of the first embodiment of the present invention is enlarged (3). When the timing enters the third aliquot of the post-cutting period (ie, the third hour), the variable frequency update chart module 30 The timeline scale of the real-time chart 32 is marked as 3 hours (8:45 to 11:45). At this time, the price line 14 is horizontally compressed by one-third compared with the 5A figure. At this time, the price line 14 is updated. The period is 20 seconds/time (ie 180 minutes x 60 seconds / 540 pixels = 20).

Referring to FIG. 5D, the schematic diagram of the instant trend chart of the first embodiment of the present invention is enlarged (4). When the time series enters the fourth aliquot of the post-cutting period (ie, the fourth hour), the variable frequency update chart module 30 The timeline scale of the real-time chart 32 is marked as 4 hours (8:45 to 12:45). At this time, the price line 14 is horizontally compressed by a quarter compared with the 5A picture, and the price line 14 is updated at this time. The period is 26.67 seconds/time (ie 240 minutes x 60 seconds / 540 pixels = 26.67).

Referring to FIG. 5E, the schematic diagram of the instant trend chart of the first embodiment of the present invention is enlarged (4). When the time series enters the fifth aliquot of the post-cutting period (ie, the fifth hour), the variable frequency update chart module 30 The timeline scale of the real-time chart 32 is marked as 5 hours (8:45 to 13:45). At this time, the price line 14 is horizontally compressed by one-fifth compared with the fifth picture, and the price line 14 is updated. The period is 33.33 seconds/time (ie 300 minutes x 60 seconds / 540 pixels = 33.33).

From the 5A to 5E, the price chart of the present invention has a different data update period at different time points except for the last stage (ie, FIG. 5E). The same (as shown in Figure 1C), the data update cycle of the other stages is lower than that of the technology, and vice versa, the frequency of data update is higher than that of the technology.

5A to 5E are diagrams showing the change of the time axis of the real-time graph 32 of the first embodiment of the present invention at different time points, wherein the total length of the market transaction time is divided into five equal parts. The description is not limited to five equal parts. The variable frequency update chart module 30 of the present invention can divide the market transaction time into equal parts, and the rate factor can be any integer greater than 1. Moreover, the reference to the time axis width of 540 pixels in the calculation formula is also an illustrative example, and does not mean that the time axis width of the embodiment of the present invention is a fixed number of pixels.

Referring to FIG. 6A, a schematic diagram of a real-time trend chart of a financial product quotation software according to an embodiment of the present invention is illustrated by taking an example of an Apple iPhone. The real-time chart 32 in this figure is the real-time chart in Figure 5A. 32. Compared with the first aspect of Fig. 1B, the present invention is applied to mobile devices, such as smart phones, PDAs, and stock machines, to further demonstrate the advantages of the present invention, allowing users to clearly identify early line drawings on a small screen. data.

Referring to FIG. 6B, a schematic diagram of the real-time trend chart of the financial product quotation software according to the second embodiment of the present invention, the only difference between this embodiment and the previous embodiment (FIG. 6A) is that the volume of the current situation chart 32 of the embodiment includes the volume. Histogram. Compared with the 1D map of the prior art, the histogram of the volume below the real-time chart 32 of the present invention makes it easier for the user to recognize the volume of the transaction at each time point.

In addition, in recent years, mobile devices have built-in Gravity Sensors (G-Sensor) to detect the tilt angle of mobile devices, such as smart phones and tablets, when mobile devices are turned from straight to landscape. Or when the horizontal to direct operation is performed, the screen can be automatically rotated to match the user's view. Take the Apple iPhone 4/4S as an example. When it is operating in direct direction, its screen pixels are 960 (straight) x 640 (horizontal), and when it is turned into landscape operation, its screen pixels become 640 (straight) x 960 (horizontal), that is, horizontal The horizontal space available for the chart during operation becomes larger. Therefore, another technical feature of the present invention is that when the mobile device is rotated from the direct operation to the lateral operation to enlarge the real-time graph 32, the variable-frequency update trend graph module 30 re-accords the new space in response to the available space of the time axis. Timeline length is converted to a new update cycle and the timeline is re-marked Degree, and then update the price line in the instant chart with the new update cycle. Similarly, when the mobile device is switched from the horizontal operation to the direct operation again, the variable frequency update chart module 30 is again changed to the variable time axis scale and the update period of the original straight operation.

When the mobile device is preset to operate directly on the screen, the variable timeline scale can be defined based on the straightness resolution of the mobile device. Therefore, when the mobile device is switched from the straight screen operation to the horizontal screen operation, the variable frequency update chart module 30 re-marks the variable time axis scale according to the horizontal screen resolution of the mobile device. The length of the variable timeline scale can be converted into the second update period, and the price line in the real-time chart is updated in the second update period.

In another embodiment, when the mobile device is preset to be a landscape screen operation, the varying timeline scale can be defined in accordance with the horizontal screen resolution of the mobile device. Therefore, when the mobile device is switched from the horizontal screen operation to the direct screen operation, the variable frequency update chart module 30 re-marks the variable time axis scale according to the straightness resolution of the mobile device. The length of the variable timeline scale can be converted into the second update period, and the price line in the real-time chart is updated in the second update period. In addition, the manner in which the update period is generated may be converted as described above by using the time length of the variable time axis scale, or may be set by a preset period. For example, the total length of the transaction time is divided into 2 segments, 3 segments, 4 segments, 5 segments, etc., or the length of each segment is not fixed. In the segmentation time of each segment, the update frequency is in a specified manner. For example, in an embodiment in which the total transaction time is divided into two segments, the fixed frequency first segment update frequency is 16.6 seconds, the second segment update frequency is 33.3 seconds, or the first segment update frequency is 20 seconds, The update frequency of the second segment is 40 seconds. For example, the total length of the transaction time is divided into unequal division periods, the length of the first segment is 1.5 hours and the update frequency is 10 seconds, and the length of the second segment is 3.5 hours and the frequency is 23.3 seconds; or, the first segment The length of time is 1.5 hours and the update frequency is 15 Seconds, while the second period of time is 3.5 hours and the update frequency is 30 seconds.

As described in the above embodiments, the segmentation of the time length may be performed in an equal length manner or may be performed in a manner that is not equal in length. The generation method of the update frequency/update cycle can be converted by the time length of the variable time axis scale, or can be set by arbitrarily specifying the update cycle.

In summary, the present invention allows the real-time chart to have different data update periods at different time points. When the price of financial products fluctuates greatly in the early morning, the price line is drawn with a higher data update period, which not only lowers the price line in the early morning. Distortion and improved immediacy, making line graph data easy to identify.

Although the technical content of the present invention has been disclosed in the above preferred embodiments, it is not intended to limit the present invention, and any modifications and refinements made by those skilled in the art without departing from the spirit of the present invention are encompassed by the present invention. The scope of protection of the present invention is therefore defined by the scope of the appended claims.

10‧‧‧Financial commodity quotation software

12‧‧‧ Real-time chart

14‧‧‧Price line

16‧‧‧ data receiving module

18‧‧‧ Chart module

20‧‧‧Finance commodity real-time chart frequency conversion data update device

22‧‧‧ memory

24‧‧‧ Processor

26‧‧‧Display module

28‧‧‧ Financial commodity quotation software

30‧‧‧Inverted update chart module

32‧‧‧ Real-time chart

Figure 1A is a schematic diagram of the real-time trend chart of the financial commodity quotation software (1); Figure 1B is a schematic diagram of the real-time trend chart of the financial product quotation software (II); Figure 1C is a schematic diagram of the enlarged real-time chart of the Xiji; 1D is a schematic diagram of another real-time trend chart and transaction volume of the financial product quotation software; FIG. 2 is a block diagram of the functional system of the device; FIG. 3 is a block diagram of the functional system of the device according to the embodiment of the present invention; FIG. 5 is a schematic diagram showing an enlarged view of the real-time trend chart according to the first embodiment of the present invention; FIG. 5B is a schematic diagram showing an enlarged view of the real-time trend chart according to the first embodiment of the present invention; (two); FIG. 5C is a schematic diagram (3) showing an enlarged view of the real-time trend chart according to the first embodiment of the present invention; FIG. 5D is a schematic diagram showing an enlarged view of the real-time trend chart of the first embodiment of the present invention (4); FIG. 5E is an embodiment of the present invention; Figure 5 is a schematic diagram showing the real-time trend chart of the financial product quotation software according to the embodiment of the present invention; and Figure 6B is a schematic diagram of the real-time trend chart of the financial product quotation software according to the second embodiment of the present invention; schematic diagram.

16‧‧‧ data receiving module

28‧‧‧ Financial commodity quotation software

30‧‧‧Inverted update chart module

Claims (14)

The utility model relates to a device for updating the frequency conversion data of a real-time chart of a financial product, which is applied to a mobile device, comprising: a data receiving module, receiving a quotation data transmitted by the server end to the user end; and a frequency conversion updating trend graph module, generating A real-time chart of a variable timeline scale, the real-time chart including a price line updated according to the quotation data, the variable-frequency update chart module generating a plurality of update cycles corresponding to the variable time-axis scale And updating the price line according to the update period corresponding to the variable time axis scale, and the variable frequency update chart module sets a plurality of preset periods as the update periods; wherein the variable pattern The same long pixels on the time axis scale represent different time lengths at different time points, and the pixels of the varying time axis width are a fixed value. The device for updating the financial product real-time chart frequency conversion data according to claim 1, wherein the variable frequency update chart module is converted into the update periods according to the time length of the variable time axis scale. The device for updating the financial product real-time chart frequency conversion data according to claim 2, wherein the variable time axis scale cuts a total market trading time into a plurality of cutting periods according to a factor of division, and starts trading at the beginning Starting from the time, when the cutting period is sequentially followed, the cutting period is added one by one to form the varying time axis scale, and the varying time axis scale is fixed during the cutting period. The device for updating the financial product real-time chart frequency conversion data according to claim 3, wherein the calculation of the update period is performed by the variable frequency update chart module according to the variation The cumulative time length of at least one of the cutting periods corresponding to the axis scale is divided by the pixels of a width of the graph. The device for updating the financial product real-time chart frequency conversion data according to claim 3, wherein the factor of the elimination rate is an integer greater than 2. The device for updating the financial product real-time graph variable frequency data according to claim 2, wherein the mobile device is preset to be a direct screen operation, and the variable time axis scale is based on the resolution of the mobile device. And defining that when the mobile device is switched from a straight screen operation to a horizontal screen operation, the variable frequency update chart module re-marks the variable time axis scale according to a horizontal screen resolution of the mobile device, and the change is The time length of the time axis scale is converted into a plurality of second update periods, and the price line in the current trend map is updated by the second update period corresponding to the second update period of the variable time axis scale. The device for updating the financial product real-time graph variable frequency data according to claim 2, wherein the mobile device is preset to a horizontal screen operation, and the variable time axis scale is based on a horizontal screen resolution of the mobile device. Defining, when the mobile device is switched from a horizontal screen operation to a direct screen operation, the variable frequency update chart module re-marks the variable time axis scale according to the mobile device's constant resolution to the screen resolution, and the variation The time length of the time axis scale is converted into a plurality of second update periods, and the price line in the instant map is updated in the second update period corresponding to the variable time axis scale by the second update periods. A method for updating a frequency conversion data of a real-time chart of a financial product, which is applied to a mobile device, comprising: Downloading a quotation data; generating a real-time trend chart of a variable timeline scale according to the quotation data; updating the quotation data to the real-time chart according to the update period corresponding to the variable timeline scale in the plurality of update periods One of the price lines is set according to a plurality of preset periods; wherein the same length of pixels on the variable time axis scale represent different time lengths at different time points, and the variable time axis The width of the pixel is a fixed value. The method for updating the financial product real-time chart frequency conversion data according to claim 8, wherein the update periods are converted according to the length of time of the variable time axis scale. The method for updating the frequency conversion data of the real-time financial chart of the financial product according to claim 9, wherein the variable timeline scale cuts a total trading time of the market into a plurality of cutting periods according to a factor of division, and starts from the beginning of the transaction. Starting from the time, when the cutting period is sequentially followed, the cutting period is added one by one to form the varying time axis scale, and the varying time axis scale is fixed during the cutting period. The method for updating the financial product real-time graph variable frequency data according to claim 9, wherein the calculating of the update period is performed according to the cumulative time length of at least one of the cutting periods corresponding to the variable time axis scale divided by a trend graph The pixel of the width. The method for updating the frequency conversion data of the real-time financial chart of the financial product according to claim 10, wherein the factor of the elimination rate is an integer greater than 2. The method for updating the financial product real-time map frequency conversion data according to claim 9, wherein the mobile device is preset to be a direct screen operation, and the variable time axis scale is based on the always-to-screen resolution of the mobile device. And defined when the mobile device is operated by straight screen When the screen is switched to the horizontal screen operation, the variable frequency update chart module re-marks the variable time axis scale according to the horizontal screen resolution of the mobile device, and converts the time length of the variable time axis scale into a plurality of And the second update period, and the price update line in the current trend map is updated by the second update period corresponding to the variable time axis scale. The method for updating the financial product real-time graph variable frequency data according to claim 9, wherein the mobile device is preset to a horizontal screen operation, and the variable time axis scale is based on a horizontal screen resolution of the mobile device. Defining, when the mobile device is switched from a horizontal screen operation to a direct screen operation, the variable frequency update chart module re-marks the variable time axis scale according to the mobile device's constant resolution to the screen resolution, and the variation The time length of the time axis scale is converted into a plurality of second update periods, and the price line in the instant map is updated in the second update period corresponding to the variable time axis scale by the second update periods.