CN108197301A - A kind of method for being used to quantify different stock trader APP market refresh rates - Google Patents
A kind of method for being used to quantify different stock trader APP market refresh rates Download PDFInfo
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- CN108197301A CN108197301A CN201810075796.5A CN201810075796A CN108197301A CN 108197301 A CN108197301 A CN 108197301A CN 201810075796 A CN201810075796 A CN 201810075796A CN 108197301 A CN108197301 A CN 108197301A
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Abstract
The invention discloses a kind of for quantifying the method for different stock trader APP market refresh rates.It is evaluated and tested for the user experience of current mobile phone stock trader APP, interactive experience, envelop of function can only be compared at present, the present invention provides it is a kind of can be to mathematical model that stock trader's market refresh rate is quantified, the model carries out the modeling of quantization market refresh rate based on " transaction value " or " exchange hand ", a large amount of real-time, the discrete market data that different stock trader APP can be generated carry out data modeling and quantization, so as to reach the comparison of the refresh rate to different stock trader APP.
Description
Technical field
The present invention relates to user experience quality evaluation method fields more particularly to one kind to be used to quantify different stock trader APP rows
The method of feelings refresh rate.
Background technology
The user experience of mobile phone stock trader APP is evaluated and tested, interactive experience, envelop of function can only be compared at present, it is right
In terms of the market refresh rate of stock trader APP, there are one the achievement datas that can intuitively compare.
Index in terms of weighing different stock trader APP refresh rates due to missing, if to compare refresh rate, is currently known
Method mainly have it is following two：1) mobile phone equipped with different stock trader APP is put together, by the way of " naked eyes compare "
It carries out；2) refresh rate comparison is carried out by way of " sectional drawing comparison ", the market page of different stock trader APP is subjected to sectional drawing,
Then refresh rate comparison is carried out by way of image data comparison.
Although above two method can realize the comparison of different stock trader APP refresh rates to a certain extent, this
The shortcomings that two methods is also it is clear that major defect has the following aspects：
1) data collection is not in time：The refreshing of stock trader's market data be all real-time and frequency be it is uncertain, it is existing
Manner of comparison due to technological deficiency carry out market data collection on can have quite big delay.2) precision of time is inadequate：
The application that development and various cdn due to present Internet accelerate, the push for same market data, each stock trader
Market refresh time difference may be only " Millisecond ".And current mode has no idea to be accurate to " Millisecond ".3) it lacks
Few unified quantization model：It because cannot be only by primary or the result of refresh rate just removes to weigh stock trader's row of a certain family several times
Feelings speed faster, it is more stable.Therefore we need a unified mathematical model to generate different stock trader APP a large amount of real-time
, discrete market data carry out data modeling and quantization, so as to reach the comparison of the refresh rate to different stock trader APP
Invention content
In order to solve the shortcoming present in above-mentioned technology, the present invention provides one kind for quantifying different stock trader APP
The method of market refresh rate.
In order to solve the above technical problems, the technical solution adopted by the present invention is：One kind is used to quantify different stock trader APP rows
The method of feelings refresh rate, including：Simultaneously memory is written in S1, the market experience exponential quantity for obtaining different stock trader APP；
S2, the different stock trader APP market refresh rates of exponential quantity assessment are experienced according to the market of acquisition, numerical value is bigger to represent row
Feelings refresh rate is faster；
Wherein, the acquisition methods of the market experience exponential quantity of the different stock trader APP include the following steps：
S11, stock trader APP are adapted to：1. APP is navigate to corresponding market obtains the page；
2. carrying out data acquisition to the component for being used to show quotation information in the market page, allocating stack is descended in printing thereon,
Reduce the seeking scope of market data-interface；
3. debugging monitoring service tool using virtual machine, program stack calling is recorded, searches corresponding storehouse letter
Number, further searches for the interface where market data；
4. the market data that data-interface is got are output in daily record, and with the present quotation number of the APP market pages
According to being compared, the validity of market data-interface is verified；
5. repeat it is above-mentioned 3. and 4., until finally confirming that the data-interface found is exactly the market number of real stock trader APP
According to interface；
6. the market data-interface found is packaged, so as to complete the adaptation work of a stock trader APP；
S12, deployed with devices：Cell phone apparatus and PC deployed with devices, every 5 mobile phones connection are carried out under identical network environment
In same PC, the time of one of PC is set as fiducial time, other machines equipment is carried out by NTP services with the PC
Time synchronization is to ensure the consistency of time；
S13, data collection：After the completion of deployed with devices, the plug-in card program of stock trader APP to be monitored and its adaptation are mounted on
On same mobile phone, a mobile phone can only run stock trader's market APP program, and the plug-in card program of the adaptation can will be got
Market data be sent in real time its connection PC equipment on；
S14, data upload：It is real after the data upload program run in PC equipment receives the gathered data of mobile phone transmission
When uploaded to server-side data processing module；
S15, data processing：The market data that PC upload programs upload are carried out classification receipts by server-side data processing module
Collection, can each stock trader's fresh picture data of real-time update storage if the stock trader's market data received are newest market data
Queue, so that server-side carries out the calculating of market experience exponential quantity, and memory and database is written；Market experience exponential quantity
Computational methods are：Server-side data processing module by some cycles from storage stock trader's market data queue in copy number according to this this
Market real-time weights V is calculated, acquiescence row most the former this week option value V is 1, other then according to the order of names listed on a roster successively decrease 0.01 successively, market
Experience exponential quantity SQE=V × V.
Further, in S11, stock trader APP adaptation, 2. to being used to show the component of quotation information into line number in the market page
According to acquisition, realized by Hook technologies.
Further, in S13, data collection, the market data of acquisition include share price, exchange hand, transaction value and standard
Time.
Further, the standard time is：A PC is set into fiducial time in S12, deployed with devices and passes through NTP
After agreement is calibrated with other PC, the time of each market refreshing.
Further, S15, Data processing, server-side data processing module is from the queue of storage stock trader's market data
The period for copying data is 1 second.
Further, S15, Data processing, the determining method of the queue of the market data are：According in market data
" transaction value " index queue sort from from big to small；If there is two market " transaction value " are identical, then press again
" standard time " carries out minor sort again, and the time arranges front earlier, so as to obtain an orderly queue.
Further, S15, Data processing, the determining method of the queue of the market data are：According in market data
" exchange hand " index queue sort from from big to small；If there is two market " exchange hand " are identical, then press again
" standard time " carries out minor sort again, and the time arranges front earlier, so as to obtain an orderly queue.
The method for being used to quantify different stock trader APP market refresh rates of the present invention, uses virtual machine to debug monitoring service
Tool runs APP in simulator environment, carries out data acquisition；Data are acquired and are realized by Hook technologies, can be to market number
According to the real-time acquisition for reaching market data；By setting fiducial time, time calibration is carried out by Network Time Protocol, obtains market brush
New " standard time ", so as to which the refresh time difference of same market data of different stock traders be accurate to " Millisecond "；There is provided one
Kind can propose effective solution to the mathematical model that stock trader's market refresh rate is quantified, the quantitative model of market experience index
It has determined the problem of being not easy to quantify to stock trader's market refresh rate.
Description of the drawings
Fig. 1 is the flow chart for being used to quantify the method for different stock trader APP market refresh rates of the present invention.
Fig. 2 is the flow chart of stock trader APP adaptation methods of the present invention.
Fig. 3 is the flow chart that the market of the different stock trader APP of the present invention experience the acquisition methods of exponential quantity.
Fig. 4 is stock trader's APP market monitoring system frame diagrams of the present invention.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
The flow chart for being used to quantify the method for different stock trader APP market refresh rates that Fig. 1-3 is provided by the present embodiment,
And stock trader's APP market monitoring system frames as shown in Figure 4 are built, its step are as follows：
Simultaneously memory is written in S1, the market experience exponential quantity for obtaining different stock trader APP, and specifically method is：
1) stock trader APP is adapted to：Since the stock trader APP structures of every family are all different, if to get corresponding stock trader
The market data of APP are required for carrying out the adaptation work of market data-interface, and adaptation step is as follows：
1. APP is navigate to corresponding market obtains the page.
2. by HOOK technologies, data acquisition is carried out to the component for being used to show quotation information in the market page, prints it
Upper and lower allocating stack reduces the seeking scope of market data-interface.Wherein, Hook technologies common can be used for changing to be a kind of
Or obtain the techniques or methods of application program specific function interface data.
3. using virtual machine debugging monitoring service tool (DDMS tools), program stack calling is recorded, lookup pair
The stack functions answered further search for the interface where market data.
4. the market data that data-interface is got are output in daily record, and with the present quotation number of the APP market pages
According to being compared, the validity of market data-interface is verified.
5. two steps above are repeated, until finally confirming that the data-interface found is exactly the row of real stock trader APP
Feelings data-interface, the interface can export the market data of the stock trader APP in real time.
6. the market data-interface found is packaged, so as to complete the adaptation work of a stock trader APP.
2) deployed with devices：Cell phone apparatus is carried out under identical network environment and PC deployed with devices, every 5 mobile phones are connected to
Same PC.The time of one of PC is set as fiducial time, when other machines equipment is carried out by NTP services with the PC
Between synchronize to ensure the consistency of time, the precision of standard time is " Millisecond ".
3) data collection：The stock trader APP that will be monitored after the completion of deployed with devices and the plug-in card program of its adaptation are mounted on same
On one mobile phone, a mobile phone can only run stock trader's market APP program.The market that the plug-in card program of adaptation can will be got
Data are sent in real time in the PC equipment of its connection.When the market data of acquisition include share price, exchange hand, transaction value and standard
Between.Wherein, after the standard time calibrated for the PC of every PC and setting racing time by Network Time Protocol, each market refresh when
Between.
4) data upload：After the data upload program run in PC equipment receives the gathered data of mobile phone transmission, in real time
Uploaded to server-side data processing module.
5) data processing：The market data that PC upload programs upload are subjected to classification collection, if the stock trader's market received
Data are newest market data, and meeting real-time update stores the queue of each stock trader's fresh picture data, so that server-side carries out
Market experience exponential quantity (SQE indexes) calculates, and memory and database is written.SQE index calculation methods are：It services at end data
Reason module copies data by some cycles (1 second) from the queue of storage stock trader's market data.Referred to according to " transaction value " of market
Mark to queue sort from from big to small.If there is two market " transaction value " are identical, then again by " standard time " into
Capable minor sort again, the time arranges front earlier, so as to obtain an orderly queue.Market real-time weights are calculated with this
V, acquiescence row most the former this week option value V is 1, other 0.01, SQE=V that then according to the order of names listed on a roster successively decreases successively × V, that is, takes square doing for V
To correspond to SQE index of the stock trader in this period.
S2, SQE indexes are read from memory or database, different stock trader APP market is assessed according to the SQE exponential quantities of acquisition
Refresh rate, numerical value is bigger, and to represent market refresh rate faster；And comparison result is shown by webpage.
The above embodiment is not limitation of the present invention, and the present invention is also not limited to the example above, this technology neck
The variations, modifications, additions or substitutions that the technical staff in domain is made in the range of technical scheme of the present invention, also belong to this hair
Bright protection domain.
Claims (7)
- A kind of 1. method for being used to quantify different stock trader APP market refresh rates, which is characterized in that include the following steps：Simultaneously memory is written in S1, the market experience exponential quantity for obtaining different stock trader APP；S2, the different stock trader APP market refresh rates of exponential quantity assessment are experienced according to the market of acquisition, numerical value is bigger to represent market brush New speed is faster；Wherein, the acquisition methods of the market experience exponential quantity of the different stock trader APP include the following steps：S11, stock trader APP are adapted to：1. APP is navigate to corresponding market obtains the page；2. carrying out data acquisition to the component for being used to show quotation information in the market page, allocating stack is descended in printing thereon, reduces The seeking scope of market data-interface；3. debugging monitoring service tool using virtual machine, program stack calling is recorded, searches corresponding stack functions, into One step searches the interface where market data；4. the market data that data-interface is got are output in daily record, and with the present quotation data of the APP market pages into Row compares, and verifies the validity of market data-interface；5. repeat it is above-mentioned 3. and 4., until finally confirming that the data-interface found is exactly that the market data of real stock trader APP connect Mouthful；6. the market data-interface found is packaged, so as to complete the adaptation work of a stock trader APP；S12, deployed with devices：Cell phone apparatus is carried out under identical network environment and PC deployed with devices, every 5 mobile phones are connected to together The time of one of PC is set as fiducial time by one PC, and other machines equipment carries out the time by NTP services with the PC The synchronous consistency to ensure the time；S13, data collection：After the completion of deployed with devices, stock trader APP to be monitored and the plug-in card program of its adaptation are mounted on same On a mobile phone, a mobile phone can only run stock trader's market APP program, the row that the plug-in card program of the adaptation can will be got Feelings data are sent in real time in the PC equipment of its connection；S14, data upload：After the data upload program run in PC equipment receives the gathered data of mobile phone transmission, in real time Uploaded to server-side data processing module；S15, data processing：The market data that PC upload programs upload are carried out classification collection by server-side data processing module, such as Stock trader's market data that fruit receives are newest market data, and meeting real-time update stores the team of each stock trader's fresh picture data So that server-side carries out the calculating of market experience exponential quantity, and memory and database is written in row；Market experience the calculating of exponential quantity Method is：Copy number this calculating according to this from the queue of storage stock trader's market data by some cycles of server-side data processing module Market real-time weights V, acquiescence row most the former this week option value V is 1, other then according to the order of names listed on a roster successively decrease 0.01 successively, market experience Exponential quantity SQE=V × V.
- 2. the method according to claim 1 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Step In rapid S11 stock trader APP adaptations, 2. step to being used to show that the component of quotation information carries out data acquisition in the market page, passes through Hook technologies are realized.
- 3. the method according to claim 1 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Step In rapid S13 data collections, the market data of acquisition include share price, exchange hand, transaction value and standard time.
- 4. the method according to claim 3 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Institute Stating the standard time is：A PC is set into fiducial time in step S12 deployed with devices and passes through Network Time Protocol and is carried out with other PC After calibration, the time of each market refreshing.
- 5. the method according to claim 4 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Step Rapid S15 Data processings, server-side data processing module period of copy data from the queue of storage stock trader's market data is 1 Second.
- 6. the method according to claim 5 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Step Rapid S15 Data processings, the determining method of the queue of the market data are：" transaction value " index pair in market data Queue progress is sorted from from big to small；If there is two market " transaction value " are identical, then carried out again by " standard time " again Minor sort, the time arranges front earlier, so as to obtain an orderly queue.
- 7. the method according to claim 5 for being used to quantify different stock trader APP market refresh rates, it is characterised in that：Step Rapid S15 Data processings, the determining method of the queue of the market data are：" exchange hand " index pair in market data Queue progress is sorted from from big to small；If there is two market " exchange hand " are identical, then carried out again by " standard time " again Minor sort, the time arranges front earlier, so as to obtain an orderly queue.
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Cited By (5)
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| CN109194533A (en) * | 2018-07-16 | 2019-01-11 | 上证所信息网络有限公司 | The assessment method and device of data transfer delay |
| CN110781067A (en) * | 2019-10-30 | 2020-02-11 | 北京博睿宏远数据科技股份有限公司 | Method, device, equipment and storage medium for calculating starting time consumption |
| CN110908905A (en) * | 2019-11-15 | 2020-03-24 | 北京博睿宏远数据科技股份有限公司 | Method, device, equipment and medium for measuring transaction speed of security dealer APP |
| CN112000675A (en) * | 2019-05-27 | 2020-11-27 | 招商证券股份有限公司 | Market data updating method and device, terminal equipment and storage medium |
| CN117453534A (en) * | 2023-10-10 | 2024-01-26 | 上海卡方信息科技有限公司 | Data processing method, device, equipment and readable storage medium |
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Application publication date: 20180622 |