CN102467732A - Graphic representation and financial product correlation statistics information system - Google Patents
Graphic representation and financial product correlation statistics information system Download PDFInfo
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Abstract
The invention relates to a graphic representation and financial product correlation statistics information system. The system comprises: a receiving module, an average calculating unit and a graphics processing unit. The receiving module receives at least one data group which is correlative with a financial product. The data group comprises a plurality of sample values. The average calculating unit acquires a geometric average of the sample values according to the sample values of the data group and acquires a power average which is different from the geometric average. The graphics processing unit correspondingly generates a graph comprising a first axis according to the geometric average and the power average. The graphics processing unit takes the geometric average and the power average as two first axis coordinates corresponding to the first axis respectively and indicates in the graph.
Description
Technical field
The present invention relates to a kind of system of pictural statistics information, particularly relate to the system of a kind of diagram statistics information relevant with financial products.
Background technology
To the various data sets relevant with financial products; For example; Principal-to-benefit ratio (price/earnings (P/E) ratio), interest cover ratio (Interest Protection Multiples) etc.; Generally add up information with the average (Mean) of all sample values in the data set as it, the average that the most often is used at present is arithmetic mean number (Arithmetic mean).
Yet; As institute's teaching in " statistics (be translated from: the Essential statistics in business and economics that David P.Doane and Lori E.Seward are shown) " book; Average can receive that each sample value influences in the data set; For instance, adopt the arithmetic mean number to be prone to, and make that the mean values of data set is higher because receive the influence of higher value in the data set (particularly maximum value); Adopt harmonic-mean (Harmonic mean) to be prone to, and make that the mean values of data set is on the low side because receive the influence of smaller value in the data set (particularly minimal value).
Hence one can see that; For the different different data set of sample value characteristic; Adopt separately truly have its disappearance of a kind of average, and the corresponding according to this chart of drawing out also can't demonstrate central tendency (Central tendency) and discrete (Dispersion) trend of each data set simultaneously as the statistics information of different data set.
Summary of the invention
The objective of the invention is to; The system of a kind of diagram of the new structure statistics information relevant with financial products is provided; Technical matters to be solved is that it is shown in the same figure by the geometric mean that received data set is corresponding and the statistics information of power average; Central tendency and discrete trend with the sample value that demonstrates data set simultaneously are very suitable for practicality.
The object of the invention and solve its technical matters and adopt following technical scheme to realize.The system of the statistics information that a kind of diagram that proposes according to the present invention is relevant with financial products comprises a receiver module, an average computing unit, and a GPU.This receiver module receives at least one data set relevant with financial products, and this data set comprises a plurality of sample values.This average computing unit is according to the said sample value of this data set; In the hope of a geometric mean of said sample value, differ from one first power average of this geometric mean; And differ from one second power average of this geometric mean; The index index corresponding with this second power average that this first power average is corresponding, both are contrary sign each other.This GPU, according to this geometric mean, this first power average, and the corresponding figure that produces of this second power average, this figure comprises one first.
This GPU comprises that a sign value computing module, indicates module, a format parameter computing module, and a display format decision module.This sign value computing module is according to this geometric mean, this first power average; And this second power average; With the one first sign value that obtains being relevant to this first power average, the one second sign value that is relevant to this geometric mean, and be relevant to one the 3rd sign value of this second power average.This indicates module with this first sign value, this second sign value, and the 3rd sign value is respectively as to three first axle beds marks that should first, and is shown in this figure.This format parameter computing module calculates one first parameter according to this first sign value and this second sign value, and calculates one second parameter according to this second sign value and the 3rd sign value.This display format decision module according to this first parameter and this second parameter wherein at least one, determine in this figure a display format that should data set.
The object of the invention and solve its technical matters and also can adopt following technical measures further to realize.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, the wherein said first power average is an arithmetic mean number, this second power average is a harmonic-mean.
Preferably; The system of the statistics information that aforesaid diagram is relevant with financial products, wherein said sign value computing module is a benchmark with this geometric mean, obtains this first sign value, this second sign value; And the 3rd sign value; This first sign value equals this first power average divided by this geometric mean, and this second sign value equals 1, the three sign value and equals this second power average divided by this geometric mean.
Preferably; The system of the statistics information that aforesaid diagram is relevant with financial products; Wherein said format parameter computing module calculates an absolute difference of this first sign value and this second sign value as this first parameter, and an absolute difference that calculates this second sign value and the 3rd sign value is as this second parameter.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, wherein said display format decision module is according to this first parameter, this second parameter; And a critical value judges, determining in this figure to this display format that should data set, when this first parameter and this second parameter wherein one greater than this critical value; This display format is one first display format; Otherwise this display format is one second display format, and this first display format differs from this second display format.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products also comprises user's interface processing unit, and in order to produce user's interface, this user's interface comprises a critical value field that supplies a user to import this critical value.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, wherein said user's interface also comprises a graphical display area, this graphical display area supplies this figure to appear.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, wherein said receiver module receives many data sets relevant with financial products; Each data set comprises a plurality of sample values, and this average computing unit is according to the said sample value of each data set, in the hope of an arithmetic mean number, a geometric mean of corresponding each data set; An and harmonic-mean; This figure that this GPU produced also comprises one second, and for each data set, the sign value computing module of this GPU is according to this arithmetic mean number, this geometric mean; And this harmonic-mean; With the one first sign value that obtains being relevant to this arithmetic mean number, the one second sign value that is relevant to this geometric mean, and be relevant to one the 3rd sign value of this harmonic-mean, the sign module of this GPU is with this first sign value, this second sign value; And the 3rd sign value is respectively as to three first axle beds marks that should first; With the data set index that is relevant to this data set as to one second axle bed mark that should second, and will the said first axle bed standard configuration close its etc. this shared second axle bed mark, be shown in this figure.
The object of the invention and solve its technical matters and also adopt following technical scheme to realize.The system of the statistics information that a kind of diagram that proposes according to the present invention is relevant with financial products comprises a receiver module, an average computing unit, and a GPU.This receiver module receives at least one data set relevant with financial products, and this data set comprises a plurality of sample values.This average computing unit is according to the said sample value of this data set, in the hope of a geometric mean of said sample value, and differs from a power average of this geometric mean.This GPU is according to this geometric mean; And corresponding generation of this power average comprises a figure of one first; This GPU is with this geometric mean, and this power average is respectively as to two first axle beds marks that should first, and is shown in this figure.
The object of the invention and solve its technical matters and also can adopt following technical measures further to realize.
Preferably; The system of the statistics information that aforesaid diagram is relevant with financial products; Also comprise user's interface processing unit, in order to produce user's interface, this user's interface comprises an index field that supplies a user to import an index; This average computing unit is according to the said sample value of this data set and this index that is transfused to, in the hope of this power average.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, wherein said user's interface also comprises a graphical display area that supplies this figure to appear.
Preferably, the system of the statistics information that aforesaid diagram is relevant with financial products, wherein said receiver module receives many data sets relevant with financial products; Each data set comprises a plurality of sample values, and this average computing unit is according to the said sample value of each data set, in the hope of a geometric mean of corresponding each data set; And differ from a power average of this geometric mean; This figure that this GPU produced also comprises one second, and for each data set, this GPU is with this geometric mean; And this power average is respectively as to two first axle beds marks that should first; With the data set index that is relevant to this data set as to one second axle bed mark that should second, and will the said first axle bed standard configuration close its etc. this shared second axle bed mark, be shown in this figure.
The present invention compared with prior art has tangible advantage and beneficial effect.By technique scheme; The system of the statistics information that diagram of the present invention is relevant with financial products has advantage and beneficial effect at least: the present invention is shown in the same figure by the statistics information of this geometric mean that this data set is corresponding and this power average, can demonstrate the central tendency and the discrete trend of the said sample value of this data set really simultaneously.
In sum, the invention relates to the system of the statistics information that a kind of diagram is relevant with financial products, it comprises a receiver module, an average computing unit, and a GPU.This receiver module receives at least one data set relevant with financial products, and this data set comprises a plurality of sample values.This average computing unit is according to the said sample value of this data set, in the hope of a geometric mean of said sample value, and differs from a power average of this geometric mean.This GPU is according to this geometric mean; And corresponding generation of this power average comprises a figure of one first; This GPU is with this geometric mean, and this power average is respectively as to two first axle beds marks that should first, and is shown in this figure.The present invention has obvious improvement technically, and has tangible good effect, really is the new design of a novelty, progress, practicality.
Above-mentioned explanation only is the general introduction of technical scheme of the present invention; Understand technological means of the present invention in order can more to know; And can implement according to the content of instructions, and for let of the present invention above-mentioned with other purposes, feature and advantage can be more obviously understandable, below special act preferred embodiment; And conjunction with figs., specify as follows.
Description of drawings
Fig. 1 is the block scheme of one first preferred embodiment of the system of the explanation diagram of the present invention statistics information relevant with financial products.
Fig. 2 is the user's interface that produces in this first preferred embodiment of explanation, the synoptic diagram that the figure that a graphical display area of this user's interface supplies a GPU of this first preferred embodiment to produce appears.
Fig. 3 is this user's interface that produces in this first preferred embodiment of explanation, the synoptic diagram that another figure that this graphical display area of this user's interface supplies this GPU of this first preferred embodiment to produce appears.
Fig. 4 is the block scheme of one second preferred embodiment of the system of the explanation diagram of the present invention statistics information relevant with financial products.
Fig. 5 is the user's interface that produces in this second preferred embodiment of explanation, the synoptic diagram that the figure that a graphical display area of this user's interface supplies a GPU of this second preferred embodiment to produce appears.
Embodiment
Reach technological means and the effect that predetermined goal of the invention is taked for further setting forth the present invention; Below in conjunction with accompanying drawing and preferred embodiment; To its embodiment of system, structure, characteristic and the effect thereof of the diagram that proposes according to the present invention statistics information relevant with financial products, detailed description as after.
Relevant aforementioned and other technology contents, characteristics and effect of the present invention can clearly appear in the following detailed description that cooperates with reference to graphic preferred embodiment.Explanation for ease, in following embodiment, components identical is represented with identical numbering.
See also Fig. 1 and shown in Figure 2, Fig. 1 is the block scheme of one first preferred embodiment of the system of the explanation diagram of the present invention statistics information relevant with financial products.Fig. 2 is the user's interface that produces in this first preferred embodiment of explanation, the synoptic diagram that the figure that a graphical display area of this user's interface supplies a GPU of this first preferred embodiment to produce appears.One first preferred embodiment of the system 1 of the statistics information that diagram of the present invention is relevant with financial products comprises a receiver module 11, user's interface processing unit 12, is coupled to an average computing unit 13 of this receiver module 11 and this user's interface processing unit 12, and is coupled to a GPU 14 of this user's interface processing unit 12 and this average computing unit 13.
This receiver module 11 receives at least one data set relevant with financial products from a Data Source 2 (for example, database), and this data set comprises a plurality of positive (Positive) sample values.This user's interface processing unit 12 is in order to produce user's interface 3.This average computing unit 13 comprises a geometric mean (Geometric mean) computing module 131, and a power average (Power mean) computing module 132; This geometric mean computing module 131 is tried to achieve a geometric mean of said sample value according to the said sample value of this data set; This power average computing module 132 is tried to achieve at least one power average of said sample value according to said sample value, and this power average differs from this geometric mean.This GPU 14 is according to this geometric mean, and the corresponding figure 5 that produces of this power average.
In this first preferred embodiment; This user's interface 3 is interactive (interactive) graphical user's interface (Graphical User Interface; Be called for short GUI); This user's interface 3 comprises a quantity field 31, at least one index (Exponent) field 32, and a graphical display area 33 that supplies this figure 5 to appear; The quantity of this index field 32 depends on the numerical value that is transfused in this quantity field 31.This user's interface 3 is shown in a carrier (for example, a screen schemes not show) by an output module 4 with it, to offer the user.
In this first preferred embodiment; The system 1 of the statistics information that this diagram is relevant with financial products implements with software mode; Its example is the program product of the program of the statistics information that the storage diagram is relevant with financial products in; This program is carried out by a computer one processor of (figure does not show) (figure does not show) and is acted on the system 1 like this above-mentioned diagram statistics information relevant with financial products, below cooperates an example further to narrate the running of its element.
At first, this receiver module 11 receives many data sets that imported by this Data Source 2, and each data set comprises a plurality of sample values.In this example; Said data set is respectively that (the corresponding sample value is the interest cover ratio in 3 years of A company: 66.58,43.46, and 35.65), (the corresponding sample value is the interest cover ratio in 3 years of B company: 26.40,40.51, and 96.33), (the corresponding sample value is the interest cover ratio in 3 years of C company: 53.37,66.28; And 23.08); And the interest cover ratio in 3 years of D company (the corresponding sample value is: 26.51,31.19, and 9.62), put in order as shown in table 1 below." interest cover ratio " for analyzing ratio commonly used about " debt paying ability " in the Corporate Financial Analysis ratio, the bigger expression corporate bond of its corresponding sample value pays interest ability better.
Table 1
| A company | B company | C company | D company | |
| 2006 | 66.58 | 26.40 | 53.37 | 26.51 |
| 2007 | 43.46 | 40.51 | 66.28 | 31.19 |
| 2008 | 35.65 | 96.33 | 23.08 | 9.62 |
Then, this geometric mean computing module 131 of this average computing unit 13 utilizes formula (1) to try to achieve a geometric mean of corresponding each data set according to the said sample value of each data set.
M
0(x
1..., x
n) represent this geometric mean, x
iRepresent arbitrary sample value.In this example, n=3.
Then, this power average computing module 132 of this average computing unit 13 utilizes following formula (2) to try to achieve at least one power average of corresponding each data set according to said sample value.
M
p(x
1..., x
n) to represent index be this power average of p, x
iRepresent arbitrary sample value.Suppose that the user is 1 at the numerical value of these quantity field 31 inputs of this user's interface 3, index field 32 of the promptly corresponding generation of this user's interface processing unit 12 supposes that again the user is 2 at this index of these index field 32 inputs; Then this power average computing module 132 utilizes formula (2) to try to achieve a power average of corresponding each data set promptly according to said sample value and this index.
In this example, this geometric mean computing module 131 of this average computing unit 13, and this power average computing module 132 is as shown in table 2 below according to the result that said sample value is tried to achieve of each data set.
Table 2
At last, this GPU 14 is according to this geometric mean and this power average of corresponding each data set, and generation comprises this figure 5 of one first 51 and 1 second 52.For each data set; This GPU 14 is with this geometric mean; And this power average is respectively as to two first axle beds marks that should first 51, with the data set index that is relevant to this data set as to one second axle bed mark that should second 52, and the said first axle bed standard configuration closed its etc. this shared second axle bed mark; Be shown in this figure 5, this figure 5 can be presented in this graphical display area 33.In this example, shared same second axle bed mark of this power average (50.31) of the interest cover ratio in 3 years of corresponding A company and this geometric mean (46.90) (this data set index is A), other data sets also indicate in an identical manner.
This user's interface 3 can be by this output module 4 with its demonstration and offer the user.To each data set; The user can be understood " central tendency " of this data set by this geometric mean that is indicated in this figure 5; And, understand " trend disperses " of this data set simultaneously by the size of an absolute difference (absolutedifference) d of this power average and this geometric mean.When the user is that positive number and numerical value are bigger at this index of these index field 32 inputs; More can reflect in the said sample value of this data set numerical value be the greater (particularly maximum value) at statistical data characteristic (for example; The numerical value of this index is 2, can be than the numerical value of this index 1 can reflect that more numerical value is that the greater is at statistical data characteristic in the said sample value); On the contrary; When the user is that negative and numerical value are littler at this index of these index field 32 inputs; More can reflect in the sample value of this data set numerical value for smaller's (particularly minimal value) at statistical data characteristic (for example; The numerical value of this index is-2, can reflect more that for-1 numerical value is that the smaller is at statistical data characteristic in the said sample value than the numerical value of this index).
What deserves to be mentioned is that in this first preferred embodiment, the user also can be by the quantity field 31 of this user's interface 3 of adjustment and the numerical value of index field 32, to reach the effect of seeing each data set different data characteristic on statistics simultaneously.
See also Fig. 1 and shown in Figure 3, Fig. 3 is this user's interface that produces in this first preferred embodiment of explanation, the synoptic diagram that another figure that this graphical display area of this user's interface supplies this GPU of this first preferred embodiment to produce appears.Cooperate above-mentioned example; When the user need see simultaneously in the said sample value of each data set that numerical value is when reaching the smaller at statistical data characteristic more greatly; Suppose that its numerical value in these quantity field 31 inputs is 2; Two index fields 32 of the promptly corresponding generation of this user's interface processing unit 12 suppose that again the user is 1 and-1 at the said index of said index field 32 inputs; Then this power average computing module 132 is according to the said sample value of each data set; And the said index that is transfused to; Utilize formula (2) to try to achieve the one first power average (index is 1) and the one second power average (index is-1) of corresponding each data set; This first power average is an arithmetic mean number, and it is that the greater is at statistical data characteristic in order to numerical value in the said sample value that reflects each data set; This second power average is a harmonic-mean, and it is that the smaller is at statistical data characteristic in order to numerical value in the said sample value that reflects each data set.
In this example, this power average computing module 132 is as shown in table 3 below according to the result that said sample value is tried to achieve of each data set.
Table 3
Then, this GPU 14 is according to this geometric mean (as shown in table 2) of corresponding each data set, and this first and second power average (as shown in table 3), produces to comprise a figure 6 of one first 61 and 1 second 62.For each data set; This GPU 14 is with this geometric mean; And this first and second power average is respectively as to three first axle beds marks that should first 61, with the data set index that is relevant to this data set as to one second axle bed mark that should second 62, and the said first axle bed standard configuration closed its etc. this shared second axle bed mark; Be shown in this figure 6, this figure 6 can be presented in this graphical display area 33.In this example; This geometric mean (46.90) of the interest cover ratio in 3 years of corresponding A company; And shared same second axle bed mark of this first and second power average (48.56,45.40) (this data set index is A), other data sets also indicate in an identical manner.
This user's interface 3 can be by this output module 4 with its demonstration and offer the user.To each data set; The user can be understood " central tendency " of this data set by this geometric mean that is indicated in this figure 6; And, understand that numerical value is " trend disperses " of the greater in the said sample value of this data set simultaneously by the size of an absolute difference d1 of this first power average and this geometric mean; And, understand that numerical value is smaller " trend disperses " in the said sample value of this data set simultaneously by the size of an absolute difference d2 of this second power average and this geometric mean.
See also Fig. 4 and shown in Figure 5, Fig. 4 is the block scheme of one second preferred embodiment of the system of the explanation diagram of the present invention statistics information relevant with financial products.Fig. 5 is the user's interface that produces in this second preferred embodiment of explanation, the synoptic diagram that the figure that a graphical display area of this user's interface supplies a GPU of this second preferred embodiment to produce appears.One second preferred embodiment of the system 7 of the statistics information that diagram of the present invention is relevant with financial products comprises this receiver module 11 as shown in fig. 1, this average computing unit 13, and be coupled to this average computing unit 13 user's interface processing unit 71, be coupled to a GPU 72 of this user's interface processing unit 71 and this average computing unit 13.This user's interface processing unit 71 is in order to produce user's interface 8; In this second preferred embodiment; This user's interface 8 comprises two index fields 81 that supply the user to import two indexes of contrary sign (contrary sign), the critical value field 82 that the confession user imports a critical value (threshold), and a graphical display area 83.This GPU 72 comprises that a sign value computing module 721, indicates module 722, a format parameter computing module 723, and a display format decision module 724.
In this second preferred embodiment; The system 7 of the statistics information that this diagram is relevant with financial products implements with software mode; Its example is an interior program product that stores up the program that illustrates the statistics information relevant with financial products, and this program acts on the system 7 like this above-mentioned diagram statistics information relevant with financial products by a computer one processor of (figure does not show) (figure does not show) execution.
With the example that is adopted in aforementioned first preferred embodiment, further narrate the running of each element of this second preferred embodiment with decurrence.Because the running of this receiver module 11 and this average computing unit 13 is similar to above-mentioned first preferred embodiment, so its details that repeats no more.
At first, this receiver module 11 receives said data set as shown in table 1.This geometric mean computing module 131 of this average computing unit 13 is tried to achieve a geometric mean of corresponding each data set according to the said sample value of each data set; This power average computing module 132 of this average computing unit 13 is according to said sample value; And the said index that is transfused in the said index field 81 of this user's interface 8; Try to achieve one first power average of corresponding each data set, and one second power average.Suppose that the said index that is transfused to is respectively 1 and-1; Then this first power average is an arithmetic mean number, and this second power average is a harmonic-mean.
Then; This GPU 72 is according to this geometric mean, this first power average of corresponding each data set; And the corresponding figure 9 that produces of this second power average, this figure 9 comprises one first 91 and 1 second 92, and this figure 9 is presented in this graphical display area 83.
To each data set; This sign value computing module 721 of this GPU 72 is according to this geometric mean, this first power average; And this second power average; With the one first sign value that obtains being relevant to this first power average, the one second sign value that is relevant to this geometric mean, and be relevant to one the 3rd sign value of this second power average.In this second preferred embodiment; This sign value computing module 721 is a benchmark with this geometric mean, obtains this first sign value, this second sign value, and the 3rd sign value; This first sign value equals this first power average divided by this geometric mean; This second sign value equals 100% (that is, equaling this geometric mean divided by own own), and the 3rd sign value equals this second power average divided by this geometric mean.
Cooperate aforementioned example, the result that this sign value computing module 721 obtains is as shown in table 4.
Table 4
| A company | B company | C company | D company | |
| The first sign value | 103.55％ | 116.07％ | 109.67％ | 112.41％ |
| The second sign value | 100％ | 100％ | 100％ | 100％ |
| The 3rd sign value | 96.80％ | 87.73％ | 89.63％ | 86.50％ |
For each data set; This of this GPU 72 indicate module 722 with this first, second and third sign value respectively as three first axle beds that should first 91 are marked; With the data set index that is relevant to this data set as to one second axle bed mark that should second 92; And the said first axle bed standard configuration closed its etc. shared this second axle bed mark, be shown in this figure 9, this figure 9 can be presented in this graphical display area 83.In this example, shared same second axle bed mark of first, second and third sign value of this of the interest cover ratio in 3 years of corresponding A company (103.55%, 100%, 96.80%) (this data set index is A), other data sets also indicate in an identical manner.
Then, to each data set, this format parameter computing module 723 of this GPU 72 calculates one first parameter according to this first sign value and this second sign value, and calculates one second parameter according to this second sign value and the 3rd sign value.In this second preferred embodiment, the absolute difference that this format parameter computing module 723 calculates these first sign values and this second sign value is as this first parameter, and an absolute difference that calculates this second sign value and the 3rd sign value is as this second parameter.
Cooperate aforementioned example, the result that this format parameter computing module 723 obtains is as shown in table 5.
Table 5
| A company | B company | C company | D company | |
| First parameter | 3.55％ | 16.07％ | 9.67％ | 12.41％ |
| Second parameter | 3.2％ | 12.27％ | 10.37％ | 13.5％ |
At last, this display format decision module 724 of this GPU 72 according to this first parameter of each data set and this second parameter wherein at least one, determine a display format of corresponding each data set in this figure 9.In this second preferred embodiment, to each data set, this display format decision module 724 is according to its first and second parameter; And this critical value that is transfused in this critical value field 82 of this user's interface 8 judges, determining in this figure 9 to this display format that should data set, when this first parameter and this second parameter wherein one (promptly greater than this critical value; Discrete trend (or fluctuation) is relatively large); This display format is one first display format, otherwise (that is, discrete trend (or fluctuation) is less relatively); This display format is one second display format, and this first display format differs from this second display format.
Cooperate aforementioned example, suppose that this critical value that is transfused to is 10%; Then corresponding B, C, the data set that reaches D three companies appears with this first display format, and the data set of corresponding A company appears with this second display format.
What deserves to be mentioned is; In this second preferred embodiment; Because this sign value computing module 721 of this GPU 72 is a benchmark with this geometric mean, in the hope of this first, second and third sign value of each data set, between removable whereby each data set; Because unit difference or yardstick (scale) difference each other, and cause the comparative result objective problem inadequately of " the discrete trend " of each data set.
In sum; " central tendency " that the present invention not only can demonstrate the said sample value of each data set simultaneously reaches " discrete trend "; Moreover; For unit difference or each different data set of yardstick, the present invention still can be relatively and is demonstrated " the discrete trend " of each data set, so can reach the object of the invention really.
The above only is preferred embodiment of the present invention, is not the present invention is done any pro forma restriction; Though the present invention discloses as above with preferred embodiment; Yet be not in order to limiting the present invention, anyly be familiar with the professional and technical personnel, in not breaking away from technical scheme scope of the present invention; When the technology contents of above-mentioned announcement capable of using is made a little change or is modified to the equivalent embodiment of equivalent variations; In every case be the content that does not break away from technical scheme of the present invention, to any simple modification, equivalent variations and modification that above embodiment did, all still belong in the scope of technical scheme of the present invention according to technical spirit of the present invention.
Claims (12)
1. the system of the statistics information that a diagram is relevant with financial products is characterized in that it comprises:
One receiver module receives at least one data set relevant with financial products, and this data set comprises a plurality of sample values;
One average computing unit; Said sample value according to this data set; In the hope of a geometric mean of said sample value, differ from one first power average of this geometric mean; And differ from one second power average of this geometric mean, and the index index corresponding that this first power average is corresponding with this second power average, both are contrary sign each other; And
One GPU, according to this geometric mean, this first power average, and the corresponding figure that produces of this second power average, this figure comprises one first, this GPU comprises:
One sign value computing module; According to this geometric mean, this first power average; And this second power average; With the one first sign value that obtains being relevant to this first power average, the one second sign value that is relevant to this geometric mean, and be relevant to one the 3rd sign value of this second power average;
One indicates module, and with this first sign value, this second sign value, and the 3rd sign value is respectively as to three first axle beds marks that should first, and is shown in this figure;
One format parameter computing module calculates one first parameter according to this first sign value and this second sign value, and calculates one second parameter according to this second sign value and the 3rd sign value; And
One display format decision module, according to this first parameter and this second parameter wherein at least one, determine in this figure a display format that should data set.
2. the system of the statistics information that diagram as claimed in claim 1 is relevant with financial products is characterized in that: this first power average is an arithmetic mean number, and this second power average is a harmonic-mean.
3. the system of the statistics information that diagram as claimed in claim 1 is relevant with financial products; It is characterized in that: this sign value computing module is a benchmark with this geometric mean; Obtain this first sign value, this second sign value, and the 3rd sign value, this first sign value equals this first power average divided by this geometric mean; This second sign value equals 1, the three sign value and equals this second power average divided by this geometric mean.
4. the system of the statistics information that diagram as claimed in claim 1 is relevant with financial products; It is characterized in that: this format parameter computing module calculates an absolute difference of this first sign value and this second sign value as this first parameter, and an absolute difference that calculates this second sign value and the 3rd sign value is as this second parameter.
5. the system of the statistics information that diagram as claimed in claim 1 is relevant with financial products; It is characterized in that: this display format decision module is according to this first parameter, this second parameter; And a critical value judges, determining in this figure to this display format that should data set, when this first parameter and this second parameter wherein one greater than this critical value; This display format is one first display format; Otherwise this display format is one second display format, and this first display format differs from this second display format.
6. the system of the statistics information that diagram as claimed in claim 5 is relevant with financial products; It is characterized in that: it also comprises user's interface processing unit; In order to produce user's interface, this user's interface comprises a critical value field that supplies a user to import this critical value.
7. the system of the statistics information that diagram as claimed in claim 6 is relevant with financial products is characterized in that: this user's interface also comprises a graphical display area, and this graphical display area supplies this figure to appear.
8. the system of the statistics information that diagram as claimed in claim 1 is relevant with financial products; It is characterized in that: this receiver module receives many data sets relevant with financial products; Each data set comprises a plurality of sample values, and this average computing unit is according to the said sample value of each data set, in the hope of an arithmetic mean number, a geometric mean of corresponding each data set; An and harmonic-mean; This figure that this GPU produced also comprises one second, and for each data set, the sign value computing module of this GPU is according to this arithmetic mean number, this geometric mean; And this harmonic-mean; With the one first sign value that obtains being relevant to this arithmetic mean number, the one second sign value that is relevant to this geometric mean, and be relevant to one the 3rd sign value of this harmonic-mean, the sign module of this GPU is with this first sign value, this second sign value; And the 3rd sign value is respectively as to three first axle beds marks that should first; With the data set index that is relevant to this data set as to one second axle bed mark that should second, and will the said first axle bed standard configuration close its etc. this shared second axle bed mark, be shown in this figure.
9. the system of the statistics information that a diagram is relevant with financial products is characterized in that it comprises:
One receiver module receives at least one data set relevant with financial products, and this data set comprises a plurality of sample values;
One average computing unit according to the said sample value of this data set, in the hope of a geometric mean of said sample value, and differs from a power average of this geometric mean; And
One GPU; According to this geometric mean, reach corresponding generation of this power average and comprise a figure of one first, this GPU is with this geometric mean; And this power average is respectively as to two first axle beds marks that should first, and is shown in this figure.
10. the system of the statistics information that diagram as claimed in claim 9 is relevant with financial products; It is characterized in that: it also comprises user's interface processing unit; In order to produce user's interface; This user's interface comprises an index field that supplies a user to import an index, and this average computing unit is according to the said sample value of this data set and this index that is transfused to, in the hope of this power average.
11. the system of the statistics information that diagram as claimed in claim 10 is relevant with financial products is characterized in that: this user's interface also comprises a graphical display area that supplies this figure to appear.
12. the system of the statistics information that diagram as claimed in claim 9 is relevant with financial products; It is characterized in that: this receiver module receives many data sets relevant with financial products; Each data set comprises a plurality of sample values, and this average computing unit is according to the said sample value of each data set, in the hope of a geometric mean of corresponding each data set; And differ from a power average of this geometric mean; This figure that this GPU produced also comprises one second, and for each data set, this GPU is with this geometric mean; And this power average is respectively as to two first axle beds marks that should first; With the data set index that is relevant to this data set as to one second axle bed mark that should second, and will the said first axle bed standard configuration close its etc. this shared second axle bed mark, be shown in this figure.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010530916.XA CN102467732B (en) | 2010-11-02 | 2010-11-02 | Illustrate the system of the statistics information relevant to financial products |
| HK12108046.3A HK1167501A1 (en) | 2010-11-02 | 2012-08-16 | System for graphically illustrating statistical information related to financial commodity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010530916.XA CN102467732B (en) | 2010-11-02 | 2010-11-02 | Illustrate the system of the statistics information relevant to financial products |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102467732A true CN102467732A (en) | 2012-05-23 |
| CN102467732B CN102467732B (en) | 2016-07-06 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010530916.XA Expired - Fee Related CN102467732B (en) | 2010-11-02 | 2010-11-02 | Illustrate the system of the statistics information relevant to financial products |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN102467732B (en) |
| HK (1) | HK1167501A1 (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1308301A (en) * | 1999-12-17 | 2001-08-15 | 乾坤烛有限公司 | Method of drawing financial market activity figures and tables |
| US20120062569A1 (en) * | 2010-09-14 | 2012-03-15 | Chang-Shan Chuang | Machine-implemented method and an electronic device for graphically illustrating a statistical display based on a set of numerical data, and a computer program product |
-
2010
- 2010-11-02 CN CN201010530916.XA patent/CN102467732B/en not_active Expired - Fee Related
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2012
- 2012-08-16 HK HK12108046.3A patent/HK1167501A1/en not_active IP Right Cessation
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1308301A (en) * | 1999-12-17 | 2001-08-15 | 乾坤烛有限公司 | Method of drawing financial market activity figures and tables |
| US20120062569A1 (en) * | 2010-09-14 | 2012-03-15 | Chang-Shan Chuang | Machine-implemented method and an electronic device for graphically illustrating a statistical display based on a set of numerical data, and a computer program product |
Also Published As
| Publication number | Publication date |
|---|---|
| HK1167501A1 (en) | 2012-11-30 |
| CN102467732B (en) | 2016-07-06 |
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