CN107767274A - A kind of object processing method and device - Google Patents
A kind of object processing method and device Download PDFInfo
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- CN107767274A CN107767274A CN201711104821.XA CN201711104821A CN107767274A CN 107767274 A CN107767274 A CN 107767274A CN 201711104821 A CN201711104821 A CN 201711104821A CN 107767274 A CN107767274 A CN 107767274A
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Abstract
The object processing method and device that the application provides, it is used as pending object by obtaining each object including predetermined adjustment information from object set, duplicate removal processing is carried out to the pending object, obtain the pending object after duplicate removal, each pending object after duplicate removal is given a mark using predetermined evaluation points, obtain the evaluation score value of each pending object after duplicate removal, and based on the evaluation score value of each pending object after duplicate removal, the object of predetermined quantity is selected as destination object from each pending object after duplicate removal, realize a kind of object handles scheme of automation.So as to which when carrying out the selection of the index shares of core analysis teacher 50 using application scheme, above mentioned problem existing for prior art can be overcome, can effectively reduce labor workload required when the index shares of core analysis teacher 50 is chosen, and improve stock and choose efficiency.
Description
Technical field
The application belongs to the analysis of finance data, processing technology field, more particularly to a kind of object processing method and device.
Background technology
With the booming and growth of China Capital Markets in recent years, and constantly tend to be ripe, seller mechanism is as money
The particularly important research institution in one, this market, receives more and more mainstream investment mechanisms and the attention of professional investor,
And start substantially to lead and affect the research direction of whole capital market.
Wherein, the index shares of core analysis teacher 50 as one of seller mechanism study hotspot is chosen, and refers to from entirely selling
Being selected in listed company's stock that square core analysis teacher is analyzed influences maximum preceding 50 stock on stock market, using as effective
Analyze the data foundation of stock market's situation.At present, the selection of the index shares of core analysis teacher 50 is mainly carried out using manual type,
That is, typically the listed company being responsible for from seller core analysis teacher is realized by means such as manual analysis, artificial comparison, calculating
Being selected in stock influences maximum preceding 50 stock on stock market.This can undoubtedly cause the selection of the index shares of core analysis teacher 50
Process has that labor workload is big, it is low etc. to choose efficiency.
The content of the invention
In view of this, it is an object of the invention to provide a kind of object processing method and device, it is intended to is automated with one kind
Mode solve above mentioned problem existing for prior art, reduce manual working required when the index shares of core analysis teacher 50 is chosen
Amount, and lift selection efficiency.
Therefore, the present invention is disclosed directly below technical scheme：
A kind of object processing method, including：
The each object including predetermined adjustment information is obtained from object set as pending object；
Duplicate removal processing is carried out to the pending object, obtains the pending object after duplicate removal；
Each pending object after duplicate removal is given a mark using predetermined evaluation points, obtains each waiting to locate after duplicate removal
Manage the evaluation score value of object；
Based on the evaluation score value of each pending object after duplicate removal, selected from each pending object after duplicate removal
The object of predetermined quantity is as destination object.
Preferably, the object set is stock pond, and the object that the object set includes is stock, the predetermined adjustment letter
Breath includes the prediction of profit adjustment information, recommendation revisions information or target prices adjustment information of stock；
It is then described that each object including predetermined adjustment information is obtained from object set as pending object, including：
Extracted from stock pond stock including prediction of profit adjustment information including recommendation revisions information stock and
Stock including target prices adjustment information is as pending stock.
Preferably, it is described that duplicate removal processing is carried out to the pending object, the pending object after duplicate removal is obtained, including：
Stock including recommendation revisions letter described in including to the pending stock including prediction of profit adjustment information
The stock of breath and the stock progress duplicate removal processing including target prices adjustment information, obtain the pending stock after duplicate removal.
Preferably, it is described that each pending object after duplicate removal is given a mark using predetermined evaluation points, obtain duplicate removal
The evaluation score value of each pending object afterwards, including：
Using the expection growth of stock, expected profitability and consistent expected change, to each treating after duplicate removal
Processing stock is given a mark, and obtains the evaluation score value of each pending stock after duplicate removal.
Preferably, the evaluation score value of each pending object based on after duplicate removal, from each pending after duplicate removal
The object of predetermined quantity is selected in object as destination object, including：
Each pending stock after duplicate removal is arranged by the order of evaluation score value descending, obtains the collating sequence of stock；
Wherein, the evaluation score value of stock is higher, represents that stock is higher to the influence degree of stock market；
The stock of predetermined quantity is as target stock before being extracted from the collating sequence.
Preferably, methods described is from each object conduct obtained from object set including predetermined adjustment information is treated
Before managing object, in addition to：
Reject invalidated object from the object set, including each object be effective object object set.
A kind of object handles device, including：
Acquiring unit, for obtaining each object including predetermined adjustment information from object set as pending object；
Duplicate removal unit, for carrying out duplicate removal processing to the pending object, obtain the pending object after duplicate removal；
Evaluation unit, for being given a mark using predetermined evaluation points to each pending object after duplicate removal, gone
The evaluation score value of each pending object after weight；
Choose unit, for the evaluation score value based on each pending object after duplicate removal, treated from each after duplicate removal from
The object of predetermined quantity is selected as destination object in reason object.
Preferably, the object set is stock pond, and the object that the object set includes is stock, the predetermined adjustment letter
Breath includes the prediction of profit adjustment information, recommendation revisions information or target prices adjustment information of stock；
The then acquiring unit, is specifically used for：
Extracted from stock pond stock including prediction of profit adjustment information including recommendation revisions information stock and
Stock including target prices adjustment information is as pending stock.
Preferably, the duplicate removal unit, is specifically used for：
Stock including recommendation revisions letter described in including to the pending stock including prediction of profit adjustment information
The stock of breath and the stock progress duplicate removal processing including target prices adjustment information, obtain the pending stock after duplicate removal.
Preferably, the evaluation unit, is specifically used for：
Using the expection growth of stock, expected profitability and consistent expected change, to each treating after duplicate removal
Processing stock is given a mark, and obtains the evaluation score value of each pending stock after duplicate removal.
Preferably, the selection unit, is specifically used for：
Each pending stock after duplicate removal is arranged by the order of evaluation score value descending, obtains the collating sequence of stock；
Wherein, the evaluation score value of stock is higher, represents that stock is higher to the influence degree of stock market；Before being extracted from the collating sequence
The stock of predetermined quantity is as target stock.
Preferably, described device also includes：
Culling unit, for obtaining each object including predetermined adjustment information from object set as pending described
Before object, reject invalidated object from the object set, including each object be effective object object set.
From above scheme, object processing method and device that the application provides, by obtained from object set including
The each object of predetermined adjustment information carries out duplicate removal processing, after obtaining duplicate removal as pending object to the pending object
Pending object, each pending object after duplicate removal is given a mark using predetermined evaluation points, obtained each after duplicate removal
The evaluation score value of individual pending object, and based on the evaluation score value of each pending object after duplicate removal, from each after duplicate removal
The object of predetermined quantity is selected in pending object as destination object, realizes a kind of object handles scheme of automation.
So as to when carrying out the selection of the index shares of core analysis teacher 50 using application scheme, overcome on existing for prior art
Problem is stated, can effectively reduce labor workload required when the index shares of core analysis teacher 50 is chosen, and improves stock selection
Efficiency.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart for the object processing method that the embodiment of the present application provides；
Fig. 2 is another flow chart for the object processing method that the embodiment of the present application provides；
Fig. 3 is a kind of structural representation for the object handles device that the embodiment of the present application provides；
Fig. 4 is another structural representation for the object handles device that the embodiment of the present application provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
The embodiment of the present application provides a kind of object processing method, suitable for such as stock of the associated data object to financial field
Handled, to solve the problems, such as that prior art exist when the index shares of core analysis teacher 50 is chosen, and then reduce core
The index shares of heart analyst 50 labor workload required when choosing, and lift selection efficiency.
The object processing method flow chart of the embodiment of the present application with reference to shown in figure 1, the object processing method include with
Lower step：
Step 101, each object including predetermined adjustment information is obtained as pending object from object set.
The present embodiment is specifically so that the object in object set is stock (such as A share market personal share etc.) as an example, to the application's
Object processing method illustrates.In consideration of it, the object set can be specifically but be not limited to stock pond, in the object set
Including object can be correspondingly then stock that respective stock analysis result information is carried in stock pond.
The stock analysis object information, for example core analysis teacher can be included but is not limited in the stock to listed company
After making correlation analysis, (such as core researcher prediction prediction, core researcher are expected the profit forecast information of resulting stock
Greatly improve, core researcher increases and (may surpass expection)), rating information (such as core researcher buys by force, core researcher grading
Significantly heighten, text core researcher raises personal share grading, core researcher grading is heightened to buying in) and target prices information
(such as core researcher target amount of increase is huge).
Wherein, core analysis teacher refers on the basis of evaluating the historical stock achievement in research of seller analyst,
According to evaluation result to seller analyst after the screening of core analysis teacher alternative pond, noise analysis teacher such as reject at the processing procedure,
What is filtered out has the analyst of notable research characteristic to designated speculative stock.The significantly research characteristic can such as include but unlimited
Due to the information channel advantage having to designated speculative stock, the integrated forecasting degree of accuracy is high, there have to be perspective, research experience is abundant, market
Big etc. the speciality of influence power.The stock pond in the present embodiment, then accordingly refer to by whole seller's core analysis Shi Suofen
The stock set that is formed of each stock of analysis, and each stock in the stock pond carry core analysis teacher profit it is pre-
The corresponding analysis object informations such as measurement information, rating information and target prices information.
Specifically, such as, it is assumed that whole seller analyst is about 7000, and core analysis teacher comments in annual May
Choosing once, then can be chosen more than having in annual May from about 7000 analysts of the whole seller by above-mentioned screening mode
Some names (such as 300) core analysis teacher of feature, and and then each core analysis teacher to choosing analyzed carry core
The stock of heart analyst's corresponding analysis object information is collected, and obtains stock pond.
For the object in object set is stock, the predetermined adjustment information is correspondingly then for the stock point
Analyse the adjustment information of object information, i.e. the predetermined adjustment information specifically refers to core analysis teacher and carrying out this point to stock
After analysis, this analysis analyzed adjustment information caused by the stock analysis object information of gained, the adjustment information relative to last time
Prediction of profit adjustment information, recommendation revisions information or target prices adjustment information of stock etc. can be included but is not limited to.
On the basis of described above, this step can extract from stock pond corresponding to whole seller core analysis teacher
Stock including the adjustment information such as can specifically extract as pending stock (i.e. pending object) from the stock pond
Go out to carry the stock of prediction of profit adjustment information, extract the stock for carrying recommendation revisions information, and extract carrying target
The stock of valency adjustment information is as pending stock etc..More specifically, when actually implementing the application, such as can be at the monthly beginning of the month
Corresponding adjustment information (prediction of profit adjustment information, recommendation revisions information are generated during being extracted from stock pond in the month before
Or target prices adjustment information) stock as pending stock.
Step 102, duplicate removal processing is carried out to the pending object, obtain the pending object after duplicate removal.
For each stock including the adjustment information extracted from stock pond, due to pending in progress
During the extraction of stock, specifically extracted from stock pond and carry the stock of prediction of profit adjustment information, extract carrying grading
The stock of adjustment information, and the stock for carrying target prices adjustment information is extracted, so as to for carrying more than one simultaneously
For the stock of adjustment information, the stock of prediction of profit adjustment information and recommendation revisions information is such as carried simultaneously, can be caused
The repetition extraction of such stock, and then there may be identical stock in each stock that can cause finally to extract.
In consideration of it, extracting each stock including the adjustment information from stock pond, so as to obtain each waiting to locate
After managing stock, this step continues to carry out duplicate removal processing to each pending stock of extraction gained, therefrom rejects and repeats stock, with
Obtain each pending stock after duplicate removal.
Step 103, using predetermined evaluation points each pending object after duplicate removal is given a mark, after obtaining duplicate removal
The evaluation score value of each pending object.
In the present embodiment, the predetermined evaluation points can be but be not limited to the consistent expected correlation factor of stock, stock
The consistent expected correlation factor of ticket can such as include but is not limited to the expection growth of stock, expected profitability and one
Cause expected these three factors of change.
Duplicate removal is being carried out to each pending stock, after obtaining each pending stock after duplicate removal, this step is for going
Each pending stock after weight, calculate the value of its consistent expected correlation factor, such as, calculate stock expection growth,
It is expected that profitability and the consistent expected value for changing these three factors etc..
Wherein, as an example, the standard year of stock specifically can unanimously be expected to ROE (being defined as roe0), first
The consistent expected ROE (being defined as roe1) in individual prediction year and the consistent expected ROE (being defined as roe2) in second prediction year, make
For the level of factor of the expection profitability factor of stock, so as to, ROE can be unanimously expected by calculating the standard year of stock, the
The consistent expected ROE in consistent expected ROE and second prediction year in one prediction year, for example, calculate stock last month last
The standard year of the individual day of trade is unanimously expected ROE, and consistent expected ROE and second of first prediction year predicts the consistent pre- of year
Phase ROE etc., to realize the calculating that the profitability factor is expected to stock；Can be using 2 annual compound growth rates of stock as stock
Expection pullulation gene level of factor, so as to can be by calculating 2 annual compound growth rates of stock, for example calculate stock and exist
Compound growth rate of last day of trade of last month etc., realize the calculating that pullulation gene is expected to stock；Can be by the 4 of stock
All consistent anticipated net profit profit rates of change and 13 weeks consistent anticipated net profits moisten the consistent performance of expected change factor as stock such as rate of change
Level of factor, so as to can 4 weeks of stock consistent anticipated net profits moisten rates of change and 13 weeks consistent anticipated net profits moisten change by calculating
Rate, such as calculating stock are consistent expected in 4 weeks consistent anticipated net profits profit rates of change of last day of trade of last month and 13 weeks
Net profit rate of change etc., to realize the calculating to the consistent performance of expected change factor of stock.
On this basis, stock can be given a mark according to the value of the above-mentioned evaluation points of each pending stock.Tool
Body, can be according to default corresponding calculation formula, such as respective weights formula, to taking for the above-mentioned evaluation points of each stock
Value carries out COMPREHENSIVE CALCULATING, and the evaluation score value using result of calculation as stock, wherein, the evaluation score value of stock is higher, correspondingly
Represent that influence of the stock to stock market is bigger.
Step 104, the evaluation score value based on each pending object after duplicate removal, from each pending object after duplicate removal
In select the object of predetermined quantity as destination object.
, can be based on each pending object after duplicate removal after the evaluation score value of each pending object after obtaining duplicate removal
Evaluation score value, selected from each pending object after duplicate removal evaluation score value highest before predetermined quantity object conduct
Final destination object.
Such as still so that the object in object set is stock as an example, can after the evaluation score value of each pending stock is obtained
Each pending stock is arranged by the order of evaluation score value descending first, obtains evaluating the stock sequence that score value successively decreases successively,
Afterwards, the stock of predetermined quantity before being selected in the stock sequence that can successively decrease successively from the evaluation score value, as to stock market's shadow
Ring maximum target stock.
, then specifically can be from the stock evaluated score value and successively decreased successively for selection for the index shares of core analysis teacher 50
Preceding 50 stock is selected in ticket sequence, maximum target stock is influenceed on stock market as final, to cause for follow-up stock
City's status analysis provides required data foundation.
The object processing method provided from above scheme, the application, by being obtained from object set including setting the tone in advance
The each object of whole information carries out duplicate removal processing to the pending object, obtains waiting to locate after duplicate removal as pending object
Object is managed, each pending object after duplicate removal is given a mark using predetermined evaluation points, obtain after duplicate removal each waits to locate
The evaluation score value of object is managed, and based on the evaluation score value of each pending object after duplicate removal, from each pending after duplicate removal
The object of predetermined quantity is selected in object as destination object, realizes a kind of object handles scheme of automation.So as to,
When carrying out the selection of the index shares of core analysis teacher 50 using application scheme, above mentioned problem existing for prior art can be overcome,
Labor workload required when the index shares of core analysis teacher 50 is chosen can be effectively reduced, and improves stock and chooses efficiency.
With reference to figure 2, Fig. 2 shows the object processing method flow chart of another embodiment of the application.
The difference of the embodiment and upper one embodiment is, (is obtained in the step 101 including predetermined from object set
The each object of adjustment information is as pending object) before, the object processing method can also comprise the following steps：
Step 101 ', reject invalidated object from object set, including each object be effective object object set.
It is stock pond for object set, for the object in object set is the stock in stock pond, in the object set
Invalidated object then accordingly refers to the invalid stock in stock pond, and by taking A share market personal share as an example, the invalid stock generally refers to
Delisting stock and ST stocks.
Wherein, ST stocks, " especially processing " is implied that, generally refers to financial situation or abnormal stock occur in other situations,
If ST is added before stock code, then it represents that the stock has larger investment risk and delisting risk, in consideration of it, the present embodiment
ST stocks and stock of quitting listing are put on an equal footing, weeded out in advance from stock pond using both of which as invalid stock.This implementation
Example weeds out quit listing stock and ST stocks in stock pond, can made first before pending stock is chosen from stock pond
In stock pond the stock code of each stock be to have listed and non-ST corporate share code, it is true with this and without quitting listing
The current stock protected in stock pond is effective stock.
The present embodiment rejects invalidated object from object set in advance, it is ensured that the validity of each object in object set, from
And can finally ensure the validity of obtained destination object, and then can be that follow-up correlation analysis (is such as based on 50 index stocks
Stock market's status analysis of ticket) effective data foundation is provided.
In another embodiment of following the application, there is provided a kind of object handles device, with reference to the sheet shown in figure 3
A kind of structural representation of object handles device of embodiment, described device can include：
Acquiring unit 100, for obtaining each object including predetermined adjustment information from object set as pending right
As；Duplicate removal unit 200, for carrying out duplicate removal processing to the pending object, obtain the pending object after duplicate removal；Evaluation is single
Member 300, for giving a mark to each pending object after duplicate removal using predetermined evaluation points, obtain each treating after duplicate removal
The evaluation score value of process object；Unit 400 is chosen, for the evaluation score value based on each pending object after duplicate removal, from going
The object of predetermined quantity is selected as destination object in each pending object after weight.
In an embodiment of the embodiment of the present application, the acquiring unit 100, it is specifically used for：
Extracted from stock pond stock including prediction of profit adjustment information including recommendation revisions information stock and
Stock including target prices adjustment information is as pending stock.
In an embodiment of the embodiment of the present application, the duplicate removal unit 200, it is specifically used for：
Stock including recommendation revisions letter described in including to the pending stock including prediction of profit adjustment information
The stock of breath and the stock progress duplicate removal processing including target prices adjustment information, obtain the pending stock after duplicate removal.
In an embodiment of the embodiment of the present application, the evaluation unit 300, it is specifically used for：
Using the expection growth of stock, expected profitability and consistent expected change, to each treating after duplicate removal
Processing stock is given a mark, and obtains the evaluation score value of each pending stock after duplicate removal.
In an embodiment of the embodiment of the present application, the selection unit 400, it is specifically used for：
Each pending stock after duplicate removal is arranged by the order of evaluation score value descending, obtains the collating sequence of stock；
Wherein, the evaluation score value of stock is higher, represents that stock is higher to the influence degree of stock market；Before being extracted from the collating sequence
The stock of predetermined quantity is as target stock.
In an embodiment of the embodiment of the present application, with reference to figure 4, the object handles device can also include：Reject
Unit 500, for it is described each object including predetermined adjustment information is obtained from object set as pending object before,
Reject invalidated object from the object set, including each object be effective object object set.
For object handles device disclosed in the application applies example, due to its with various embodiments above disclosed at object
Reason method is corresponding, so description is fairly simple, related similarity refers to object processing method in various embodiments above
Partial explanation, is no longer described in detail herein.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
For convenience of description, describe to be divided into various modules when system above or device with function or unit describes respectively.
Certainly, the function of each unit can be realized in same or multiple softwares and/or hardware when implementing the application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
Realized by the mode of software plus required general hardware platform.Based on such understanding, the technical scheme essence of the application
On the part that is contributed in other words to prior art can be embodied in the form of software product, the computer software product
It can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are causing a computer equipment
(can be personal computer, server, either network equipment etc.) performs some of each embodiment of the application or embodiment
Method described in part.
Finally, it is to be noted that, herein, the relational terms of such as first, second, third and fourth or the like
It is used merely to make a distinction an entity or operation with another entity or operation, and not necessarily requires or imply these
Any this actual relation or order be present between entity or operation.Moreover, term " comprising ", "comprising" or its is any
Other variants are intended to including for nonexcludability, so that process, method, article or equipment including a series of elements
Not only include those key elements, but also the other element including being not expressly set out, or also include for this process, side
Method, article or the intrinsic key element of equipment.In the absence of more restrictions, limited by sentence "including a ..."
Key element, it is not excluded that other identical element in the process including the key element, method, article or equipment also be present.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (12)
- A kind of 1. object processing method, it is characterised in that including：The each object including predetermined adjustment information is obtained from object set as pending object；Duplicate removal processing is carried out to the pending object, obtains the pending object after duplicate removal；Each pending object after duplicate removal is given a mark using predetermined evaluation points, it is each pending right after duplicate removal to obtain The evaluation score value of elephant；Based on the evaluation score value of each pending object after duplicate removal, selected from each pending object after duplicate removal predetermined The object of quantity is as destination object.
- 2. according to the method for claim 1, it is characterised in that the object set is stock pond, and the object set includes Object be stock, the predetermined adjustment information includes prediction of profit adjustment information, recommendation revisions information or the target prices of stock Adjustment information；It is then described that each object including predetermined adjustment information is obtained from object set as pending object, including：Extracted from stock pond stock including prediction of profit adjustment information including recommendation revisions information stock and including The stock of target prices adjustment information is as pending stock.
- 3. according to the method for claim 2, it is characterised in that it is described that duplicate removal processing is carried out to the pending object, obtain Pending object after to duplicate removal, including：Stock including recommendation revisions information including prediction of profit adjustment information described in including to the pending stock Stock and the stock progress duplicate removal processing including target prices adjustment information, obtain the pending stock after duplicate removal.
- 4. according to the method for claim 3, it is characterised in that described that each after duplicate removal is treated using predetermined evaluation points Process object is given a mark, and obtains the evaluation score value of each pending object after duplicate removal, including：Using the expection growth of stock, expected profitability and consistent expected change, to each pending after duplicate removal Stock is given a mark, and obtains the evaluation score value of each pending stock after duplicate removal.
- 5. according to the method for claim 4, it is characterised in that the evaluation of each pending object based on after duplicate removal Score value, the object of predetermined quantity is selected from each pending object after duplicate removal as destination object, including：Each pending stock after duplicate removal is arranged by the order of evaluation score value descending, obtains the collating sequence of stock；Wherein, The evaluation score value of stock is higher, represents that stock is higher to the influence degree of stock market；The stock of predetermined quantity is as target stock before being extracted from the collating sequence.
- 6. according to the method described in claim any one of 1-5, it is characterised in that obtained described from object set including predetermined Before each object of adjustment information is as pending object, in addition to：Reject invalidated object from the object set, including each object be effective object object set.
- A kind of 7. object handles device, it is characterised in that including：Acquiring unit, for obtaining each object including predetermined adjustment information from object set as pending object；Duplicate removal unit, for carrying out duplicate removal processing to the pending object, obtain the pending object after duplicate removal；Evaluation unit, for being given a mark using predetermined evaluation points to each pending object after duplicate removal, after obtaining duplicate removal Each pending object evaluation score value；Unit is chosen, for the evaluation score value based on each pending object after duplicate removal, from each pending right after duplicate removal The object of predetermined quantity is selected as in as destination object.
- 8. device according to claim 7, it is characterised in that the object set is stock pond, and the object set includes Object be stock, the predetermined adjustment information includes prediction of profit adjustment information, recommendation revisions information or the target prices of stock Adjustment information；The then acquiring unit, is specifically used for：Extracted from stock pond stock including prediction of profit adjustment information including recommendation revisions information stock and including The stock of target prices adjustment information is as pending stock.
- 9. device according to claim 8, it is characterised in that the duplicate removal unit, be specifically used for：Stock including recommendation revisions information including prediction of profit adjustment information described in including to the pending stock Stock and the stock progress duplicate removal processing including target prices adjustment information, obtain the pending stock after duplicate removal.
- 10. device according to claim 9, it is characterised in that the evaluation unit, be specifically used for：Using the expection growth of stock, expected profitability and consistent expected change, to each pending after duplicate removal Stock is given a mark, and obtains the evaluation score value of each pending stock after duplicate removal.
- 11. device according to claim 10, it is characterised in that the selection unit, be specifically used for：Each pending stock after duplicate removal is arranged by the order of evaluation score value descending, obtains the collating sequence of stock；Wherein, The evaluation score value of stock is higher, represents that stock is higher to the influence degree of stock market；It is predetermined before being extracted from the collating sequence The stock of quantity is as target stock.
- 12. according to the device described in claim any one of 7-11, it is characterised in that also include：Culling unit, for obtaining each object including predetermined adjustment information from object set as pending object described Before, reject invalidated object from the object set, including each object be effective object object set.
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| CN201711104821.XA CN107767274A (en) | 2017-11-10 | 2017-11-10 | A kind of object processing method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915436A (en) * | 2020-08-05 | 2020-11-10 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915436A (en) * | 2020-08-05 | 2020-11-10 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
| CN111915436B (en) * | 2020-08-05 | 2024-02-23 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
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