TW201743269A - Financial product transaction data processing device and method thereof preferably classifying the price and trading volume of different hierarchical levels and displaying by graphics - Google Patents

Abstract

The present invention relates to a financial product transaction data processing device and a method thereof, which comprises an information receiving module which receives external financial information, a price and trading volume display module which displays multiple prices and trading volume information of the financial information; a custom combination module which generates a plurality of information options so that users will select and generate a combination of information, and the price and trading volume hierarchical module generates a plurality of price and trading volume hierarchical information to a combined generation module according to the price and trading volume hierarchical information defined by the combination of information, and the combined generation module classifies the price and trading volume hierarchical information of the same hierarchical level into a price and transaction volume region to generate a price and trading volume regional information on an information display module for producing a price and trading volume regional graphics. The present invention can define each hierarchical level of price and trading volume and classify the price of the same hierarchical level into the same region, which effectively helps investors to read and judge and to enhance the transaction success rate of financial products.

Description

Financial commodity transaction data processing device and method thereof

The present invention relates to a technique for analyzing financial commodities, and more particularly to a financial commodity transaction data processing apparatus and method thereof.

Currency, bonds, stocks, options, hedge funds, etc. in trading transactions can be collectively referred to as financial instruments. Most of the prices of financial products are accompanied by fluctuations in the market environment. Therefore, how to effectively analyze financial products to facilitate the purchase or sale of financial products at an appropriate time is a very important part.

Generally speaking, in the selection screen of the quotation system of the conventional financial products, a page with all the function options is usually displayed, and the user is required to select the information to be displayed according to the demand, such as the index market, the stock price quote, and the self-selected quotation. , financial news and other functions, click on the required function button, the quotation software can switch views, provide investors to view the information presented by the selected function.

However, the current financial commodity quotation system fails to distinguish the price level of different classes in detail, and distinguishes the classes of various price levels in the system, and divides the price of the same class into the same area. The purpose of distinguishing the price of the different levels is to help determine whether the various price levels are simply breaking the price or breaking the price. Therefore, the price of the same class is divided into the same area, which can be increased by the display. The easy-to-readness of information makes investors more clear and clear, and can provide investors with more effective judgments on the current situation of financial products, so as to greatly improve the judgment of winning rate. However, the well-known financial commodity quotation system has not developed such technology, which makes it more difficult for investors to judge the financial information.

In view of the above, the present invention proposes a financial commodity transaction data processing apparatus and method thereof to effectively overcome the above-mentioned problems in view of the above-mentioned shortcomings of the prior art.

The main object of the present invention is to provide a financial commodity transaction data processing apparatus and method thereof, which can effectively distinguish the level of each price level, and can divide the price of the same level into the same area and display the bid position. The volume area and the information of financial products are in the price map of the price level, so that investors can effectively judge the investors and strengthen the judgment of the winning rate of financial products.

Another object of the present invention is to provide a financial commodity transaction data processing apparatus and method thereof, which can be weighted according to the nature of different financial commodities to provide more accurate information to enhance the judgment of the financial product winning rate.

A further object of the present invention is to provide a financial commodity transaction data processing apparatus and method thereof, which can determine a predicted value of a profit space of a current price position of each financial product, and provide a user with a judgment as to whether the financial commodity is at the current price level. It can make a profit, and can judge the similarity of the price of each financial commodity in order to facilitate investors to judge.

To achieve the above object, the present invention provides a financial commodity transaction data processing apparatus for use in a computer having a display, and the financial commodity transaction data processing apparatus includes: an information receiving module receiving financial information of at least one financial commodity externally Information; the one-price volume display module displays the multi-price trading volume information of the financial products according to the financial information; a custom combination module generates a plurality of display information options, and displays a plurality of display information options on the display of the computer to provide a user Selecting at least one display information option to generate a combined information, the combined information includes a defined volume level information; the one-price volume level module receives the complex price transaction information and the combined information generated by the customized group and the module, and according to The combination information defines the volume level information, determines the level of the complex price volume information, and generates the complex price volume level information to a merge generation module, which divides the price information of the same class into a one-price volume area. To generate at least one price level Information; finally, the financial information, the price level information and the price volume area information are transmitted to the information display module to generate a price field map to the display according to the price level information and the price volume area information. .

In addition, the present invention also provides a method for processing financial commodity transaction data. First, an activation signal is sent to start receiving financial information of at least one financial commodity according to the activation signal, and displaying the volume price information of the financial commodity according to the financial information; Then generating a plurality of display information options to select at least one display information option to generate a combined information, the combined information includes a defined volume level information; determining a level of the complex price volume information according to the defined volume level information, generating a complex price volume Class information; classify the transaction level information of the same class into a one-price volume area to generate at least one price volume area information; finally generate a price based on financial information, price level information and price volume area information Volume area map.

The purpose, technical content, features and effects achieved by the present invention will be more readily understood by the detailed description of the embodiments.

Referring to the first figure, as shown in the figure, the financial commodity transaction data processing apparatus of the present invention is applied to a computer 1. The computer 1 includes a processor 10 and a display 12, and the financial commodity transaction data of the present invention. The processing device is installed in the processor 10, and includes an information receiving module 14 for receiving financial information of at least one external financial product. The information receiving module 14 can be a wireless or wired signal receiver for receiving wired or wireless signals, and the financial product is The system is a stock, currency, bond, option, futures, index exchange investment trust (Exchange Traded Funds (ETF) or interest rate, etc.; the information receiving module 14 is electrically connected to a price level display module 15 to enable information reception The module 14 transmits the financial information to the price level display module 15, and then displays the complex price volume according to the plural price transaction information of the financial information; a custom combination module 16 is electrically connected to the display 12 to generate a plurality of Display information options, and display information options in the display of the display 12, providing users with at least one display information option, custom combination The group 16 then generates a combined information according to the display information option selected by the user, wherein the combined information includes a defined volume level information, a weighted module information, a percentage display information, an area width display information, an area width arrangement information, A profit-making space forecast generates information, a profitable space prediction ranking information, a time zone display information, and a price-volume regional comparison information, any kind of information and other information combined.

The one-price volume module 18 is electrically connected to the custom combination module 16 to receive the defined volume information of the combined information and the multi-price transaction information of the financial product, as defined in the defined volume information. Information, which determines the level of the multi-price trading volume information of a financial product, and generates a multi-price trading volume class information, wherein the trading volume class information includes at least one volume level preset value to define a complex price transaction through the volume level preset value. The class of the class information, wherein the default value of the volume level is defined by the user, please refer to the second figure, which is a schematic diagram of the price level class information generated by the price level module 18 of the present invention, as shown in the figure. Each bar-shaped figure in the figure represents different price points, and the length of the bar-shaped figure represents the transaction volume. When the user customizes the combination module 16, it will be different according to the user-defined volume level preset value. The price information is divided into different classes, which are divided into multiple levels based on different price information. For example, the three transaction volume levels are defined. The price information is divided into three levels. It can be divided into simple breakthrough price, medium breakthrough price, and difficult breakthrough price. The hierarchy can be plural, not three. The hierarchy is limited to a simple breakthrough price and a medium breakthrough price. After the difficulty breaks through the price level and gives different patterns to different classes, it is of course possible to distinguish the classes by different colors and the like, and the difference is not limited by the pattern; A combination generation module 20 is electrically connected to the price level module 18 and the customized combination module 16 to divide the price information of the same class into a price area according to the multi-price volume level information. For the information of at least one price level, please refer to the third figure. In this embodiment, the price information of the same class is divided into one price area, and the price information of the multiple price is generated. If the price of the same class is completed, When there is a different level of price between the volume, the price volume area can be divided according to the definition of the user. If there are two moderate breakout prices between the two difficult breakout prices, and the user defines two price levels with the same class, and there are two different levels of price, the price can be traded at the same price. In the quantity area, the two medium breakthrough price points in the middle of the two difficult breakthrough price points can be regarded as a difficult breakthrough price level, and the two medium breakthrough price points are swallowed. The pattern of this embodiment is the same level. When there is 0 different levels of price between the volume of the price, it can be the same price level, that is, as long as the price information of one price can become a price volume area; an information display module 21 The merge generation module 20 and the display 12 are configured to generate a price range area map to the display 12 based on the financial information, the price level information, and the plurality of price volume area information.

In addition, the processor 10 further includes a weighting module 22 electrically connected to the custom combination module 16 and the price level hierarchy module 18, which can define the level of the volume transaction information in the price level hierarchy module 18. Previously, weighting the price of the different conditions, when the custom combination module 16 generates the weighting module information to the weighting module 22, the weighting module 22 weights the volume of the volume trading volume information. When adjusting, the weighted value can be modified according to the current state of financial commodity system rising or falling. When the financial commodity system is in the falling stage, a negative weighted set value is added to the trading volume of the financial commodity small order, and the financial commodity is large. The transaction volume plus a positive weighted set value, and then enter the price volume level module 18 defines the weighted plural price level of the trading volume information; when the financial product system is in the rising stage, the small transaction volume of the financial product plus Positive weighted set value, adding a negative weighted set value to the large single volume of the financial commodity, and then entering the price volume level module 18 to define the weighted plural price volume News of the class. The weighted price information will be as shown in the fourth figure, and the price level to be weighted will be lengthened, and the level of the weighted multi-price volume information will be defined by the entry price level module 18. Both the positive weighted set value and the negative weighted set value are set by the user.

The processor 10 further includes a percentage display module 24 electrically connected to the custom combination module 16 and the information display module 21 to display the transaction volume of the current price range, the current price is the highest price, and The percentage of the lowest-priced volume, when the user sets the percentage information to be displayed in the custom combination module 16, the custom combination module 16 generates a percentage display information to the percentage display module 24, and the percentage display module 24 is based on The current price in the financial information and the price volume area, the percentage of the current price and the volume of the price in the price range, and the current price and the price of the lowest price in the price range of the price level, and will It is transmitted to the information display module 21, so that the information display module 21 will price the transaction level information, the complex price volume area information, the pre-price and the price level of the price, the highest price volume percentage, and the current price level and In the volume price area of the price, the information such as the percentage of the lowest price is merged. FIG daily price green region.

The processor 10 further includes an area width display module 26 electrically connected to the custom combination module 16 and the information display module 21 for displaying the value of the area width. When the user sets the display area in the custom combination module 16 Width, to generate the area width display information to the area width display module 26, the root financial information generates the current price level, and then according to the current price and price volume area information, the price price of the current price position in the price range is generated to transmit The information display module 21 is combined with the price level information and the multi-price volume area information to generate a price volume area map. In addition, the custom combination module 16, the information display module 21, and the area width display module 26 are electrically connected to an area width alignment module 27, and when the custom combination module 16 generates the area width arrangement information to the area. The width arranging module 27 can sequentially arrange the plurality of price points according to the size of the price range of the price range of each financial commodity, for transmission to the information display module 21, and the price level information, The complex price volume area information is combined to generate a price volume area map.

The processor 10 further includes a profit space prediction generation module 28 electrically connecting the custom combination module 16 and the information display module 21 to calculate a predicted value of the profit space, and providing the user with a judgment on whether the financial product can be profitable. When the user selects to display the profit forecasting value in the custom combination module 16, the customized group and the module 16 generate the profit space prediction generating information to the profit space prediction generating module 28, which can be based on the internal The stored profit forecasting space generates an equation, and a profit forecast value is generated for each price point of the financial product, and is transmitted to the information display module 21, so that the profit space prediction value and the price volume level information, plural The price volume area information is combined to generate a price volume area map, wherein the profit space prediction production equation is as follows: E _a E _b ) (E _s E _n ) E _c (E _n -E _y )

Where E _c is the current price; E _s is the highest price in the volume trading area; E _n is the lowest price in the volume trading area; E _a is the price difference from the highest price of the E _c distance trading volume; E _b It is the price difference from the lowest price of the E _c distance price area; E _y is the lowest price in the other price range, and E _{y is} less than E _n . The processor 10 further includes a profit space prediction ordering module 30 electrically connected to the custom combination module 16 and the information display module 21 to arrange the predicted value of the profit space, and provide the user as a reference when the user The custom combination module 16 selects the order of displaying the profit space prediction value, and the custom combination module 16 generates the profit space prediction ranking information to the profit space prediction ranking module 30, which can be predicted according to the profit space. Generating the size of the profit space prediction value generated by the module 28 and transmitting it to the information display module 21 to combine with the profit space prediction value, the price volume level information, and the complex price volume area information to generate a price level. Volume area map.

The processor 10 further includes a time zone display module 32 electrically connected to the custom combination module 16 and the information display module 21 to define information in a certain time zone of the financial product, and display it when the user is When the display time zone is selected in the binding combination module 16, the custom combination module 16 generates time zone display information to the time zone display module 32, which generates a time zone according to the time zone set by the time zone display information, and It is transmitted to the information display module 21, and is combined with the price level information and the multi-price volume area information to generate a price volume area map.

The processor 10 further includes a price-volume area matching module 34 electrically connecting the custom combination module 16 and the information display module 21 to compare the price volume areas of different financial products, when the user customizes The combination module 16 selects the display area similarity value to compare the similarity of the price of the different financial products, and the custom combination module 16 generates the regional similarity value and transmits it to the information display module. 21, in combination with the price level information, the complex price volume area information to generate a price volume area map. The price volume area compares the method calculated by the module and calculates the similar figure through the cosine similarity calculation.

The price volume area map generated by the information display module 21 is generated by the above-mentioned combination generation module 20, the percentage display module 24, the area width display module 26, the profit space prediction generation module 28, and the profit space prediction. The sorting module 30, the time zone display module 32, and any information generated by the price-volume area comparison module 34 and the like are combined according to the combination selected by the user.

After the description of the structure of the present invention, please refer to the first figure, and the method flow chart of the fifth figure, as shown in the figure, a financial commodity transaction data processing method, first proceeds to step S10, and the computer 1 is operated to issue a start signal. The information receiving module 14 starts to receive the financial information of the at least one financial product according to the activation signal, and displays the plural price transaction information of the financial product according to the financial information; then proceeds to step S12, and the custom combination module 16 generates the plural display information. The option is displayed in the display 12, wherein the manner in which the plurality of display information options are displayed on the display 12 is as shown in the sixth figure, to provide the user to select at least one display information option to generate a combined information to generate corresponding information according to the selected information option. Define volume level information, weighted module information, percentage display information, area width display information, profit space prediction generation information, profit space prediction ranking information, time area display information, or price volume area comparison information; then enter the steps As shown in S14, the price level hierarchy module 18 is combined according to The definition of the volume level information in the message determines the level of the complex price volume information, and generates the multi-price volume level information. The example is defined in the step S12, and the selection is marked with an important price range bar and defines a certain In an interval, greater than the default value of the volume level, a certain pattern is displayed, wherein the number of layers can be defined by the user; then, in step S16, the merge generation module 20 divides the price information of the same level into a price point. The transaction volume area, wherein the embodiment defines the method in step S12, and selects 3. merges the important price range bar. In this embodiment, the interval 0 is combined with the price of the same class, indicating the price of the same class. When there are 0 different levels of price, the volume can be the same price level, that is, as long as the price information of one price can become a price volume area. Of course, you can also choose the interval 2 to merge the price of the same class. It means that the price of two different levels is between the two levels. When there are two different levels of price, you can trade the price of two different classes in the middle. merge.

Of course, in step S14, based on the combination information, the level of the price transaction information is determined, and before the price level information is generated, the price of the large order/small order can be selected in step S12, that is, the transaction of the price information is performed. The weight adjustment is performed, and the level of the weighted bit volume information is determined in step 14. Then, the process proceeds to step S16, and the merge generation module 20 divides the weighted transaction level information of the same class into the price level. region.

Then, proceeding to step S18, corresponding information is generated according to the instruction of the combined information generated by the display information option selected in the previous step S12. For example, if the current price distance is calculated and displayed in step S12, and the process proceeds to step S14 and step S16 to generate the price level, the process proceeds to step S18, where the current price and the price level of the price are calculated. Percentage of volume, and the percentage of the current price and the volume of the price in the price range, the percentage shows that the module 24 can generate the current price and the volume of the price in the price range, the percentage of the highest price, and the current price. The percentage of the lowest price in the volume area of the price. If the size and the sorting of the merged area are calculated and displayed in step S12, that is, the price width of the price range is displayed. After the price level is generated in steps S14 and S16, the area width is transmitted in step S18. The display module 26 generates the current price based on the financial information, and then generates the price width of the current price range in the price range according to the current price and the price volume area information. If the sorting display area width arranging module 27 is selected, the plurality of price priced areas may be arranged in order according to the size of the valence volume area quotation width in which the current price of each financial item is located. If it is selected in step S12 to calculate and display the commodity profit space prediction value, that is, the commodity profit space prediction value is displayed, and after proceeding to step S14 and step S16 to generate the price level volume region, the process proceeds to step S18, and the profit space prediction generation mode is generated. The group 28 uses the profit space prediction to generate an equation, and generates a profit space prediction value. In step S12, the ranked profit forecast value is selected, and the information of the complex profit forecast value can be arranged. If the interval is defined in step S12, the selection of the similar graphic product is displayed and classified, that is, the similarity of the price transaction area information of the different financial products is displayed, and the price is generated after the step S14 and the step S16. The quantity area, in step S18, the regional similarity value can be generated by the price volume area comparison module 34 to compare the similarity of the price information of different financial products, wherein the comparison method has been implemented in the above structure. Therefore, the description is not repeated.

Finally, proceeding to step S20, generating a combination according to the information of the user selection condition to generate a price point area map, as shown in the seventh figure, which is an example of selecting the display time, the price level information and the level information in step S12. The price-volume area information generates a price-volume area map, which is displayed after the definition of the price-volume area map. Of course, the merge generation module 20, the percentage display module 24, the area width display module 26, and the profit space can also be used. The prediction generation module 28, the profit space prediction ordering module 30, the time zone display module 32, and any information generated by the price-volume area comparison module 34 and the like are combined. limit.

In summary, the present invention can effectively distinguish the level of each price level, and can divide the price of the same class into the same area, and display the price volume area with different areas, and the various financial products. In the price map of the price level, the investor can read the judgment that can effectively assist investors and strengthen the winning rate of financial products.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Therefore, any changes or modifications of the features and spirits of the present invention should be included in the scope of the present invention.

1‧‧‧ computer
10‧‧‧ processor
12‧‧‧ display
14‧‧‧Information receiving module
15‧‧‧ Price Volume Display Module
16‧‧‧Custom Combination Module
18‧‧‧ Price Volume Module
20‧‧‧Combined production module
21‧‧‧Information Display Module
22‧‧‧ Weighting module
24‧‧‧Percentage display module
26‧‧‧Zone Width Display Module
27‧‧‧Regional width alignment module
28‧‧‧ Profitable space forecast generation module
30‧‧‧ Profit Forecasting Sorting Module
32‧‧‧Time zone display module
34‧‧‧ Price Volume Area Comparison Module

The first figure is a block diagram of the system of the present invention. The second figure is a schematic diagram of the price level of the present invention. The third figure is a schematic diagram of the regional transaction volume information of the present invention. The fourth figure is a schematic diagram of the weighted post-price volume level information of the present invention. The fifth figure is a flow chart of the method of the present invention. The sixth figure is a schematic diagram of the display information options of the present invention. The seventh figure is a schematic diagram of the price area of the present invention.

1‧‧‧ computer

10‧‧‧ processor

12‧‧‧ display

14‧‧‧Information receiving module

15‧‧‧ Price Volume Display Module

16‧‧‧Custom Combination Module

18‧‧‧ Price Volume Module

20‧‧‧Combined production module

21‧‧‧Information Display Module

22‧‧‧ Weighting module

24‧‧‧Percentage display module

26‧‧‧Zone Width Display Module

27‧‧‧Regional width alignment module

28‧‧‧ Profitable space forecast generation module

30‧‧‧ Profit Forecasting Sorting Module

32‧‧‧Time zone display module

34‧‧‧ Price Volume Area Comparison Module

Claims (23)

A financial commodity transaction data processing device is applied to a computer having a display, the financial commodity transaction data processing device comprising: an information receiving module, receiving financial information of at least one external financial product; a price level display module, according to The financial information displays the multi-price transaction volume information of the financial product; a custom combination module generates a plurality of display information options, and displays the display information options on the display to provide a user to select at least one of the display information options. Generating a combination of information, including a defined volume level information; a price level trading level module, receiving and determining the level of the volume information according to the defined volume information of the combined information, generating a plurality of price transactions a hierarchical generation information; a merge generation module, which divides the price level information of the same class into a one-price volume area to generate at least one price volume area information; and an information display module according to the financial information, The price level information of the price level and the price of the price Region information, generates a daily price to the display region of the display of FIG. The financial product transaction data processing device of claim 1, wherein the combined information further comprises a weighting module information, a percentage display information, an area width display information, an area width arrangement information, and a profit space prediction generation information. , a profitable space forecasting sorting information, a time zone display information or a price level trading area comparison information. The financial product transaction data processing device of claim 2, further comprising a weighting module, when the customized combination module generates the weighting module information to the weighting module, the weighting module deals the price of the price The trading volume of the information is weighted. When the price of the financial product falls, a negative weighted setting value is added to the trading volume of the small sheet of the financial product, and the trading volume of the financial commodity is added to the large amount. Positively weighting the set value, and then entering the price level module to define the weighted level of the volume information; when the price of the financial product rises, the transaction amount of the financial item is added to the volume The weighted set value is added to the volume of the large order of the financial commodity plus the negative weighted set value, and then enters the level of the weighted volume information defined by the volume level module. The financial commodity transaction data processing device of claim 1, wherein the defined volume level information includes at least one volume level preset value to define a hierarchy of the volume level information through the volume level preset value . The financial product transaction data processing device of claim 2, further comprising a percentage display module, when the customized combination module generates the percentage display information to the percentage display module, according to the current financial information The price level and the volume volume area of the price, the percentage of the volume of the current price level and the highest price level in the volume area of the price level, and the current volume percentage of the lowest price level in the volume area of the price level, and Transfer it to the information display module. The financial product transaction data processing device of claim 2, further comprising an area width display module, when the custom combination module generates the area width display information to the area width display module, according to the financial information The current price level is generated, and according to the current price level and the volume volume area information, the price width of the current price level in the volume trading area is generated for transmission to the information display module. The financial product transaction data processing device of claim 6, further comprising an area width arranging module, wherein the custom combination module generates the area width arrangement information to the area width arranging module, The price range of the price range of the financial product at which the current price is located is sequentially arranged in the price range for transmission to the information display module. The financial product transaction data processing device of claim 2, further comprising a profit space prediction generation module, when the customized combination module generates the profit space prediction generation information to the profit space prediction generation module , which can generate an equation based on a profitable space prediction stored therein, generate a profit space prediction value for each price point of the financial product, and transmit it to the information display module, wherein the profit space prediction is generated The equation is as follows: E _a E _b ) (E _s E _n ) E _c (E _n -E _y ) wherein the E _c is the current price level; the E _s is the highest price in the volume trading area; the E _n is the lowest price in the volume trading area; the E _a is from the E _c the highest price from the price difference between the price of the volume region; the line E _b E _c from the lowest bit of the price difference between the region away from the daily price; the price of another region of the volume-based E _y lowest price, And the E _{y is} smaller than the E _n . The financial product transaction data processing device of claim 8, further comprising a profit space prediction ranking module, when the customized combination module generates the profit space prediction ranking information to the profit space prediction ranking module And arranging the profitable space prediction values according to the size of the profitable space prediction values, and transmitting the same to the information display module. The financial product transaction data processing device of claim 2, further comprising a time zone display module, when the custom combination module generates the time zone display information to the time zone display module, according to the time zone The time zone set by the information is displayed, and the time zone is generated and transmitted to the information display module. The financial commodity transaction data processing device according to claim 2, further comprising a price-volume transaction area comparison module, wherein the custom combination module generates a price-volume transaction area comparison information to the price volume area comparison mode In the group, the price comparison area module compares the similarity of the volume area information of the price, and generates a regional similarity value and transmits it to the information display module. The financial commodity transaction data processing device of claim 1, wherein the financial product is a stock, currency, bond, option, futures, index trade investment fund (ETF) or interest rate. A method for processing financial commodity transaction data, the steps comprising: (a) issuing an activation signal, starting to receive at least one external financial information according to the activation signal, and displaying the plural price transaction information of the financial product according to the financial information; (b) generating The plurality of display information options are selected to select at least one of the display information options to generate a combined information, including a defined volume level information; (c) determining a level of the volume information according to the defined volume level information, generating a plurality (d) classifying the volume level information of the same class into a one-price volume area to generate at least one price volume area information; and (e) based on the financial information, the price level of the price The class information and the volume area information of the price level generate a map of the volume of the volume. The method for processing financial commodity transaction data according to claim 13, wherein before step (c), the method further comprises weighting the volume of the volume transaction information, and when the price of the financial product falls, the financial product is The volume of the small order plus a negative weighted set value, plus a positive weighted set value for the volume of the financial item's large order; if the price of the financial item rises, the small list of the financial item The volume is added to the positive weighted set value, and the negative weighted set value is added to the volume of the large order of the financial item. The financial commodity transaction data processing method of claim 13, wherein the defined volume level information in the step (c) includes at least one volume level preset value to define a hierarchy of the price level volume information. The financial commodity transaction data processing method of claim 13, wherein after step (d), the method further comprises: according to the current price level of the financial information and the price volume area of the financial information, generating the current price level and the volume area of the price The percentage of the highest price, and the current percentage of the price and the lowest price in the volume area of the price. The method for processing financial commodity transaction data according to claim 13, wherein after step (d), the method further comprises: generating a current price based on the financial information, and generating, according to the current price and the volume transaction area information, the current price is located. The price width of the volume volume area. The financial commodity transaction data processing method of claim 14, wherein after the step of generating a price width of the current price position in the volume volume area, and according to the current price of each of the financial products The price range of the price volume area is arranged in order of the price range. The financial commodity transaction data processing method of claim 13, wherein after step (d), the method further comprises: generating a profit forecast by using a profit space prediction generating equation, wherein each profit position of the financial product is generated, wherein The profit space prediction produces the equation as follows: E _a E _b ) (E _s E _n ) E _c (E _n -E _y ) wherein the E _c is the current price level; the E _s is the highest price in the volume trading area; the E _n is the lowest price in the volume trading area; the E _a is from the E _c the difference between the highest price from the price daily price region; the line E _b E _c from the lowest bit of the price difference between the region away from the daily price; the price of another region of the volume-based E _y lowest price, And the E _{y is} smaller than the E _n . The method for processing financial commodity transaction data according to claim 19, wherein after the step of generating the profit forecast of the profit space, the information of the profit forecast of the profitable space is further arranged according to the size of the predicted value of the profitable space. The financial commodity transaction data processing method of claim 13, wherein after step (d), further comprising setting a time zone to display the time zone. The method for processing financial commodity transaction data according to claim 13, wherein after step (d), the method further comprises: comparing the similarity of the volume information of the price range to generate a regional similarity value. The financial commodity transaction data processing method according to claim 13, wherein the financial commodity is a stock, currency, bond, option, futures, index trade investment fund (ETF) or interest rate.