CN108133421A - A kind of Stock Selecting based on searching times recommends method - Google Patents

A kind of Stock Selecting based on searching times recommends method Download PDF

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Publication number
CN108133421A
CN108133421A CN201711261074.0A CN201711261074A CN108133421A CN 108133421 A CN108133421 A CN 108133421A CN 201711261074 A CN201711261074 A CN 201711261074A CN 108133421 A CN108133421 A CN 108133421A
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stock
screening
searching times
user
stocks
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韩景倜
袁光辉
梁贺君
胡青青
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Shanghai university of finance and economics
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Shanghai university of finance and economics
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Asset management; Financial planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

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  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
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  • Entrepreneurship & Innovation (AREA)
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Abstract

A kind of Stock Selecting based on searching times recommends method, and screening is carried out using searching times as the stock screened in factor pair stock market and recommends to include the following steps:Step 1 display screening picture;Screening request and screening conditions are sent to server by step 2;Step 3 receives screening request and screening conditions, and is received according to screening request from stock information server and the corresponding real-time market value of all stocks, is received according to screening request from search server and the corresponding searching times of all stocks;Step 4 carries out descending according to the real-time market value size of all stocks and arranges to obtain First ray, and the stock in the first predetermined sequencing horizon in First ray is carried out descending again according to searching times and arranges to obtain the second sequence;Step 5 is screened to obtain the selection result according to screening conditions to the stock in the second preset range in the second sequence;The selection result is sent to user terminal by step 6;Step 7 shows the selection result picture for including the selection result.

Description

A kind of Stock Selecting based on searching times recommends method
Technical field
The present invention relates to a kind of Stock Selectings to recommend method, is specifically related to a kind of using searching times as the screening factor Stock Selecting recommends method.
Background technology
Behavior finance receives focus of attention always, Nobel prize in economics in 2017 authorize Richard fill in strangle it is proposed that " Broker of rational can not possibly exist, and people are in real-life various economic behaviours necessarily by various " is irrational " influence, securities market is also in this way, the concern from each side can influence investment decision, and then influence listed company's behavior. Studies have found that the report of news media is respectively provided with stimulation to stock yield, trading volume and price.For example, early stage Earl The research of relationship finds that the profit notice information of Wall Street Journal publication causes really between the publication of newspaper information and stock market Variation (the Eral K S.The market reaction to 10-K and 10-Q filings and to of stock price subsequent the wall street journal earnings announcements[l].The Accounting Review, 1961,66(1):42-55.).The quantity and stock trading volume and market income of Dow Jones's news daily bulletin Between had no there are steady correlativity, but between news content and market price fluctuations it is larger contact (Mitchell M L, Mulherin J H.The impact of public information on the stock market[J].Journal of Finance,1994,49(3):923 –950.).Find Reuter within the unit interval in the research of Britain stock market There are steady positive relationship between the news quantity and trading volume of publication, but the relationship between price fluctuation is very faint (Berry T D,Howe K M.Public information arrival[J]. Journal of Finance,1994,49 (3):923-950.).Additionally by politics with Economic News to the shadow of 33 constituent stocks stock exchange activities of Hang Seng Index Ring, find Economic News and political news stock market transaction can be had an impact (Chan Y, Chui A C W, Kwok C C Y.The impact of salient political and economic news on the trading activity[J].Pacific Basin Finance Journal,2001,9(3):195-217).It haves mercy on and educates in China Stock Markets Flower bud etc. and the markets such as Zhang Yahui are, it was also found that its income is less than by the low stock of imedias advertisement by the stock of media highest attention (Rao Yulei, Peng fold peak, Cheng great Chao to ticket income.Media attention can cause the abnormal income of stock:From China Stock Markets Experimental evidence [J] methods engineering theory and practice, 2010,30 (2):287-297 refined intelligent, Wan Di Fang are paid thunderous.Stock is received The media impact of benefit:Risk compensation or excessively concern weak tendency [J] Financial Research, 2011,374 (8):143-156).
Compared with imedias advertisement, paid close attention to the investor that is universal and being derived by search engine of internet Degree is a preferably research variable.Influence of investor's attention rate body to cross section stock yield is proved for the first time, is found not By listed company's stock of media report than obtaining higher income, and this " media during the stock that those are highly reported Abnormal income caused by effect " (Media effect) still notable (Fang L H, Press after multifactor Risk Adjusted J.Media coverage and the cross-section of stock returns[J].The journal of Finance,2009,64(5):2023-2052)。
Although there is above-mentioned a large amount of research, it was found that these influence factors of many influence factors simultaneously apply to stock Income estimation in, but estimate accuracy rate still than relatively low, the screening and recommendation of stock can not be carried out.
Invention content
Inventor passes through statistics calculating and experimental verification, it is found that certain stocks are searched number with being somebody's turn to do within a certain period of time Between the short-term yield of stock there is certain correlation, can be developed using the discovery and filter out the higher stock of accuracy rate Ticket.For this purpose, the present invention provides following technical solution:
Structure one
Stock Selecting provided by the invention based on searching times recommends method, is obtained from search server opposite with stock The searching times answered, and carry out screening recommendation using searching times as the stock screened in factor pair stock market, which is characterized in that packet Include following steps:Step S-1, display screening picture, allows user to input screening conditions;Step S-2, once user is to the sieve of input Condition is selected to be confirmed, the screening request of user and screening conditions are sent to server;Step S-3, receive screening request and Screening conditions, and according to screening request receive from stock information server real-time market value corresponding with all stocks and come From search server and the corresponding searching times of all stocks;Step S-4, according to the real-time city of acquired all stocks Value size carries out descending and arranges to obtain First ray, and by the stock in the first predetermined sequencing horizon in First ray according to searching Rope number carries out descending and arranges to obtain the second sequence again;Step S-5, it is pre- to second in the second sequence according to screening conditions Determine the stock in range to be screened to obtain the selection result;The selection result is sent to user terminal by step S-6;Step S-7, It shows the selection result picture, and the selection result is illustrated in the selection result picture.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, screening conditions include the valuation factor, growth factor, flow constant, the profit factor, technique factor, the fluctuation factor And scale factor.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, it is opposite to include dividend yield, cash yield, earnings yield rate, book market value ratio and p/e ratio for the valuation factor Profit rate of increase, growth factor include total assets growth rate, earnings per share growth rate, per-share earnings growth, net profit growth Rate and income net profit margin, flow constant include accounts receivable, stock turnover rate, turnover rate of fixed assets, debt total assets ratio And equity ratio, the profit factor include net assets income ratio, payback of assets, turn battalion's rate of gross profit, net profit on sales rate and net Profit cash flow, technique factor include 1 month momentum, 6 months momentum, turnover rate, equal line and resources flow, fluctuate because of attached bag Exchange hand standard deviation, amount of increase and amount of decrease standard deviation, drop fluctuation, income relative fluctuation and wave amplitude median, scale factor is included to include Total of current asset, circulation value, total market capitalisation, income market value ratio and intangible asset ratio.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, the stock in the first predetermined sequencing horizon is whole stocks in the rear 50%-100% in First ray.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, the stock in the second predetermined sequencing horizon is whole stocks in the rear 50%-98% in the second sequence.
Structure two
The present invention also provides Stock Selecting of the another kind based on searching times to recommend method, using searching times as screen because Son carries out screening recommendation to the stock in stock market, which is characterized in that includes the following steps:Step S1, display screening picture, allows use Family inputs screening conditions;Step S2, once user confirms the screening conditions of input, by the screening request of user and screening Condition is sent to server;Step S3 receives screening request and screening conditions, and is received according to screening request from stock information Server with the corresponding real-time market value of all stocks, extraction with the corresponding searching times of all stocks;Step S4, according to The real-time market value size of acquired all stocks carries out descending and arranges to obtain First ray, and first in First ray is pre- Determine the stock in sequencing horizon and carry out descending again according to searching times to arrange to obtain the second sequence;Step S5, according to screening item Part is screened to obtain the selection result to the stock in the second preset range in the second sequence;Step S6, the selection result is sent out Give user terminal;Step S7 shows the selection result picture, and the selection result is illustrated in the selection result picture.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, the stock in the first predetermined sequencing horizon is whole stocks in the rear 50%-100% in First ray.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is:Wherein, the stock in the second predetermined sequencing horizon is whole stocks in the rear 50%-98% in the second sequence.
Stock Selecting provided by the invention based on searching times recommends method, can also have the feature that, special Sign is that the searching times in step S4 are obtained by following steps:Step S4-1 shows searching screen, and user is allowed to input search Field;Once user confirms the search field of input, the searching request of user and search field are sent by step S4-2 To server;Step S4-3, service receive searching request and search field;Step S4-4, by search field and stored phase Field is answered to be compared;Step S4-5 judges that the user should in search when search field is identical with the certain field stored Some corresponding stock of field;Step S4-6 adds up the searching times of respective stock according to the judgement result of step S4-5.
The effect of invention
The Stock Selecting based on searching times in the present invention recommends method, because input display unit can allow user to input Screening request and screening conditions can be sent to service by screening content and the screening content for receiving user, user side communication unit Device, service side communication unit can receive screening request and screening conditions, and be received according to screening request from stock information service The real-time market value corresponding with all stocks of device and from search server and the corresponding searching times of all stocks, All stocks can be carried out descending arrangement by stock sequence portion according to the size of real-time market value, and by the stock in certain sequencing horizon Stub carries out descending arrangement again according to searching times, and Stock Selecting portion can be according to screening conditions, by the stock after minor sort again In a certain range of stock screened to obtain the selection result, recently enter display unit by the screening knot comprising the selection result Fruit picture exhibition is to user, so being ranked up the screening by the stock after sequence according to user again to stock according to searching times The stock that user is recommended after conditional filtering allows for the selection result of influence of user's searching times to stock yield, improves Recommend the earning rate of stock.
Description of the drawings
Fig. 1 is the block diagram that the Stock Selecting based on searching times recommends method in the embodiment of the present invention one;
Fig. 2 is the block diagram of user terminal in the embodiment of the present invention one;
Fig. 3 is the block diagram of server in the embodiment of the present invention one;
Fig. 4 is the block diagram of the Stock Selecting commending system based on searching times in the embodiment of the present invention two;
Fig. 5 is the block diagram of server in the embodiment of the present invention two;
Fig. 6 is the action flow chart that the Stock Selecting based on searching times recommends method in the embodiment of the present invention one;
Fig. 7 is the action flow chart that searching times add up in the embodiment of the present invention two;
Fig. 8 is the action flow chart that the Stock Selecting based on searching times recommends method in the embodiment of the present invention two;
Fig. 9 is that the stock information in the present invention stores schematic diagram;
Figure 10 is the First ray schematic diagram in the present invention;
Figure 11 is the second sequence diagram in the present invention;
Figure 12 is the storage schematic diagram of stock corresponding field in the present invention;
Figure 13 is the IC value variation tendency schematic diagrames of investor's attention rate factor;
Figure 14 is stock yield schematic diagram;
Figure 15 is year income, maximum withdrawal, Alpha and volatitle revenue dynamic change schematic diagram;
Figure 16 is grouping Sharpe Ratio change schematic diagram;
Figure 17 be low market value stock year income, Alpha's change schematic diagram;
The beta of the low market value stocks of Figure 18, Sharpe Ratio market value change schematic diagram;And
The maximum of the low market value stocks of Figure 19 is withdrawn, volatitle revenue dynamic rate change schematic diagram.
Specific embodiment
It is real below in order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention Example combination attached drawing is applied to the composition of the Stock Selecting recommendation method provided by the invention based on searching times, operation principle and is had Beneficial effect is specifically addressed.
Embodiment 1
Fig. 1 is the block diagram of the Stock Selecting commending system based on searching times in the embodiment of the present invention one.
As shown in Figure 1, the Stock Selecting commending system 10 based on searching times in the present embodiment, from search server Acquisition and the corresponding searching times of stock, and carry out screening recommendation using searching times as the stock screened in factor pair stock market To user, including several user terminals 20 and server 30.
Fig. 2 is the block diagram of user terminal in the embodiment of the present invention one.
Can be smart mobile phone, tablet computer or desktop computer as shown in Fig. 2, user terminal 20 is held by user, institute Some user terminals 20 can be communicated simultaneously with server by cable network or wireless network and be connect.User in the present embodiment is whole End 20 is smart mobile phone.User terminal 20 have picture storage part 201, input display unit 202, user side communication unit 203 and The user side control unit 204 of the above each portion's operation of control.
Fig. 3 is the block diagram of server in the embodiment of the present invention one.
As shown in figure 3, server 30 is connect with search server and stock information server communication, receive from search clothes The searching times corresponding with stock of business device and the stock relevant information from stock information server, have stock information What storage part 301, stock sequence portion 302, Stock Selecting portion 303, service side communication unit 304 and the above each portion of control were run User side control unit 305.
Search server in the present embodiment is telecommunications fixed network search engine, including Baidu, goole, 360 browsers, fire The server of fox etc..Stock information server include Shanghai Stock Exchange, Shenzhen Stock Exchange, Hong Kong Exchange and in The server of Taiwan Stock Exchange Corporation of state.Stock information server in the present embodiment is what Shenzhen security of Shanghai Stock Exchange The server of exchange.
Picture storage part 201 is stored with screening picture and the selection result picture in user terminal 20.Screening picture is used to show Show all screening conditions selected for user.The selection result picture is for Stock Selecting recommendation side of the display based on searching times The stock of user is recommended after the screening conditions screening that method 10 is selected according to user.
Display unit 202 is inputted for showing screening picture, user is allowed to click screening conditions.
Screening conditions include the valuation factor, growth factor, flow constant, profit the factor, technique factor, fluctuation the factor and Scale factor.
The valuation factor includes dividend yield, cash yield, earnings yield rate, book market value ratio and p/e ratio the relative profitability Rate of increase.
Growth factor include total assets growth rate, earnings per share growth rate, per-share earnings increase, net profit growth rate and Take in net profit margin.
Flow constant includes accounts receivable, stock turnover rate, turnover rate of fixed assets, debt total assets ratio and property right ratio Rate.The factor of getting a profit includes Return on Assets, payback of assets, turns battalion's rate of gross profit, net profit on sales rate and net profit cash flow.
Technique factor includes 1 month momentum, 6 months momentum, turnover rate, equal line and resources flow.
The factor is fluctuated to include in exchange hand standard deviation, amount of increase and amount of decrease standard deviation, drop fluctuation, income relative fluctuation and wave amplitude Digit.
Scale factor includes total of current asset, circulation value, total market capitalisation, income market value ratio and intangible asset ratio.
The confirmation frame that drop-down menu and confirmation with display screening conditions in screening picture are screened, screens picture In screening conditions can carry out multinomial selection.The screening can be shown by screening picture when user clicks some screening conditions The two level drop-down menu for all parameter options that condition includes further is screened for user.For example, estimate when user chooses Value is screened and be will appear on picture comprising dividend yield, cash yield, earnings yield rate, book market value ratio and earnings because of the period of the day from 11 p.m. to 1 a.m The two level drop-down menu of rate the relative profitability rate of increase is selected for user.Also there is remaining screening conditions same screening to show.
It is clicked after user clicks screening conditions and confirms that frame is confirmed that user side communication unit 203 is just by screening request Server 30 is sent to the screening conditions that user chooses.
Fig. 9 is that the stock information in the present invention stores schematic diagram.
As shown in figure 9, stock information storage part 301 is stored with and the corresponding stock information of all stocks, stock information Including stock name, stock code, market value of stock data, stock price data, stock volume quantity data and stock finance number According to.
It services side communication unit 304 and receives screening request and screening conditions that user side communication unit 203 is sent.When service side leads to After letter portion 304 receives screening request, stock information server and search server are sent out request and receive from stock The real time stock information corresponding with all stocks of information server and opposite with all stocks from search server The searching times answered, and these information are updated in stock information storage part 301 in corresponding stock information.
Stock sequence portion 302 is used for according to screening request, real time stock information and the searching times received to whole Stock is ranked up.Stock sequence portion 302 extracts the real-time market value in real time stock information, and according to the real-time city of all stocks The size of value carries out descending and arranges to obtain First ray, and by whole stocks in the rear 90%-100% in First ray according to Searching times carry out descending and arrange to obtain the second sequence again.
Figure 10 is the First ray schematic diagram in the present invention.
As shown in Figure 10, in the present embodiment, by taking in the market one shares 3000 stocks as an example.By from stock information service The real-time market value size of 3000 stocks obtained at device carries out descending arrangement form First ray, and real-time market value is maximum to be come First of First ray, the 3000th that comes First ray of real-time market value minimum.Again by 90%- rear in First ray 100% stock, i.e., the stock of the 2700th to the 3000th carry out descending according to searching times and arrange to obtain the second sequence, searches Most first that comes the second sequence of rope number, minimum the 300th that comes the second sequence of searching times.
Figure 11 is the second sequence diagram in the present invention.
As shown in figure 11, Stock Selecting portion 303 is used for according to the screening conditions that user terminal is sent in the second sequence The stock in 88%-98% is screened to obtain the selection result afterwards.I.e. by the 264th in 300 stocks in the second sequence To 30 stocks of the 294th, i.e., eastwardly China Telecom (300166) ties up 30 value stocks between communication (300136) to letter, according to The screening conditions received are screened, and obtain the selection result.
This selection result is sent to user terminal 20 by service side communication unit 304.User side communication unit 203 receives sieve After selecting result, the selection result picture for including the selection result is shown to user by input display unit 202.
Fig. 6 is the action flow chart that the Stock Selecting based on searching times recommends method in the embodiment of the present invention one.
As shown in fig. 6, the Stock Selecting based on searching times recommends the motion flow of method 10 to include the following steps:
Step S-1, the input display screening picture of display unit 202, allows user to input screening conditions, subsequently into step S-2;
Once user confirms the screening conditions of input, the screening request of user and screening conditions are sent out by step S-2 Server is given, subsequently into step S-3;
Step S-3 receives screening request and screening conditions, and is received according to screening request from stock information server Real-time market value corresponding with all stocks and from search server and the corresponding searching times of all stocks, Ran Houjin Enter step S-4;
Step S-4, extract real time stock information in market value, according to the real-time market value size of acquired all stocks into Row descending arranges to obtain First ray, and by the stock in the rear 90%-100% in First ray according to searching times again It carries out descending to arrange to obtain the second sequence, subsequently into step S-5;
Step S-5 according to screening conditions, screens the stock in the rear 88%-98% in the second sequence and is sieved Choosing is as a result, subsequently into step S-6;
The selection result is sent to user terminal by step S-6, subsequently into step S-7;
Step S-7 shows the selection result picture, and the selection result is illustrated in the selection result picture.
In embodiment one, the searching times received from search server are the search in one day.When from search service When the searching times received in device are searching times interior per hour, stock sequence portion 302 also has search time in embodiment Number computing unit 3021 can be obtained correcting searching times, and searched using the amendment by searching times by the calculating for subscribing rule Rope number carries out descending and arranges to obtain the second sequence.That is, searching times calculating part 3021 carries out the searching times of 24 hours Summation obtains day searching times.It arranges to obtain the second sequence using day searching times as according to First ray progress descending.
The effect of embodiment one
The Stock Selecting based on searching times in the present invention recommends method, because input display unit can allow user to input Screening request and screening conditions can be sent to service by screening content and the screening content for receiving user, user side communication unit Device, service side communication unit can receive screening request and screening conditions, and be received according to screening request from stock information service The real-time market value corresponding with all stocks of device and from search server and the corresponding searching times of all stocks, All stocks can be carried out descending arrangement by stock sequence portion according to the size of real-time market value, and by the stock in certain sequencing horizon Stub carries out descending arrangement again according to searching times, and Stock Selecting portion can be according to screening conditions, by the stock after minor sort again In a certain range of stock screened to obtain the selection result, recently enter display unit by the screening knot comprising the selection result Fruit picture exhibition is to user, so being ranked up the screening by the stock after sequence according to user again to stock according to searching times The stock that user is recommended after conditional filtering allows for the selection result of influence of user's searching times to stock yield, improves Recommend the earning rate of stock.
Further, the present invention also provides the screening factor of a variety of mainstreams cooperation searching times factor pair stocks to be sieved Choosing, original screening system is remained while the new factor is added in so that this screening recommendation method and past method phase Than having better accuracy, and provide higher stock yield.
In addition, being had chosen in stock sequence portion, searching times are few, i.e. the low stock of investor's attention rate is further sieved Choosing, take full advantage of investor's attention rate it is low it is negatively correlated with stock yield this study found that preferably recommending high receive for user The stock of beneficial rate.
Embodiment 2
Fig. 4 is the block diagram of the Stock Selecting commending system based on searching times in the embodiment of the present invention two.
The Stock Selecting commending system 10 ' based on searching times in the present embodiment as shown in Figure 4, is made with searching times Screening recommendation is carried out for the stock in screening factor pair stock market, including user terminal 20 and server 30 '.
User terminal 20, can be smart mobile phone, tablet computer and desktop computer, and all user terminals 20 can lead to simultaneously Cross the communication connection of cable network or wireless network and server.User terminal 20 in the present embodiment is smart mobile phone.User is whole End 20 has picture storage part 201, input display unit 202, user side communication unit 203 and the use of the above each portion's operation of control Family side control unit 204.
Fig. 5 is the block diagram of server in the embodiment of the present invention two.
As shown in figure 5, server 30 ' is connect with stock information server communication, there is stock information storage part 301, stock Ticket sequence portion 302, Stock Selecting portion 303, service side communication unit 304, search field determination unit 306, search count section 307 with And the user side control unit 305 of the above each portion's operation of control.
Picture storage part 201 is stored with searching screen, screening picture and the selection result picture in user terminal 20.Search for picture There is the search scanned for for the input frame and confirmation for inputting information to confirm frame, screening picture is all for showing in face For the screening conditions of user's selection.The selection result picture recommends method 10 ' for Stock Selecting of the display based on searching times The stock of user is recommended after the screening conditions screening selected according to user.
It inputs display unit 201 and shows searching screen, for user to be allowed to input search field, search for respective stock, once with It presses search and confirms that frame is confirmed that the searching request of user and search field are just sent to clothes by user side communication unit 203 in family Business device 30 '.
After searching request and search field that the service reception user terminal 20 of side communication unit 304 is sent, search field is sentenced Determine portion 306 and stock associated with search field is judged according to the stock information stored in stock information storage part 301.
Figure 12 is the storage schematic diagram of stock corresponding field in the present invention.
As shown in figure 12, search field determination unit 306 includes field storage unit 3061 and search identifying unit 3062.Word Section storage unit 3061 is stored with includes stock with the corresponding multiple stock corresponding fields of every stock, these stock corresponding fields Ticket code, stock name, stock name abbreviation, stock name keyword, several stock names containing wrong word and several With the relevant field of stock name.
Judge when search identifying unit 3062 judges that search field input by user is identical with the certain field stored Some corresponding stock of the field is being searched for for the user.For example, search field input by user is HXB, then it is single to search for judgement The stock of 3062 judgement search of member is Huaxia Bank, and search identifying unit 3062 accumulates once searching times for Huaxia Bank.
When search field determination unit 306 continuously judge the 2-5 field continuously received from user terminal 20 in advance When all stocks being stored in field storage unit 3061 are all unmatched, and next search field received and certain When the field that branch stock has in advance is identical, the counting that first corresponds to, and the 2-5 search field storage that this is continuously inputted is arrived It restructures in the corresponding stock corresponding field of stock.For example, search field input by user is China's row, West China bank, Hua Xiayin Row, Huaxia Bank, then the stock that the judgement search of identifying unit 3062 is searched for after Huaxia Bank is inputted is Huaxia Bank, search Identifying unit 3062 accumulates once searching times for Huaxia Bank, and searches for identifying unit 3062 and judge China's row, West China silver Row, Hua Xia banks are the stock corresponding field of Huaxia Bank, are stored in the stock corresponding field of Huaxia Bank.
Search count section 307 adds up the searching times of respective stock according to the judgement result of search field determination unit 306.
The display screening picture of display unit 202 is inputted, screening conditions are clicked for user.
Screening conditions include the valuation factor, growth factor, flow constant, profit the factor, technique factor, fluctuation the factor and Scale factor.
The valuation factor includes dividend yield, cash yield, earnings yield rate, book market value ratio and p/e ratio the relative profitability Rate of increase.Growth factor include total assets growth rate, earnings per share growth rate, per-share earnings increase, net profit growth rate with And income net profit margin.
Flow constant includes accounts receivable, stock turnover rate, turnover rate of fixed assets, debt total assets ratio and property right ratio Rate.
The factor of getting a profit includes Return on Assets, payback of assets, turns battalion's rate of gross profit, net profit on sales rate and net profit cash Stream.
Technique factor includes 1 month momentum, 6 months momentum, turnover rate, equal line and resources flow.
The factor is fluctuated to include in exchange hand standard deviation, amount of increase and amount of decrease standard deviation, drop fluctuation, income relative fluctuation and wave amplitude Digit.
Scale factor includes total of current asset, circulation value, total market capitalisation, income market value ratio and intangible asset ratio.
The confirmation frame that drop-down menu and confirmation with display screening conditions in screening picture are screened, screens picture In screening conditions can carry out multinomial selection.The screening can be shown by screening picture when user clicks some screening conditions The two level drop-down menu for all parameter options that condition includes further is screened for user.For example, estimate when user chooses Value is screened and be will appear on picture comprising dividend yield, cash yield, earnings yield rate, book market value ratio and earnings because of the period of the day from 11 p.m. to 1 a.m The two level drop-down menu of rate the relative profitability rate of increase is selected for user.Also there is remaining screening conditions same screening to show.
It is clicked after user clicks screening conditions and confirms that frame is confirmed that user side communication unit 203 is just by screening request Server 30 is sent to the screening conditions that user chooses.
Fig. 9 is that the stock information in the present invention stores schematic diagram.
As shown in figure 9, stock information storage part 301 is stored with and the corresponding stock information of all stocks, stock information Including stock name, stock code, market value of stock data, stock price data, stock volume quantity data and stock finance number According to.
It services side communication unit 304 and receives screening request and screening conditions that user side communication unit 203 is sent.When service side leads to After letter portion 304 receives screening request, stock information server and search server are sent out request and receive from stock The real time stock information corresponding with all stocks of information server and extraction are from search count section 307 and all stocks The corresponding searching times of ticket, and these information are updated in stock information storage part 301 in corresponding stock information.
Stock sequence portion 302 is used for according to screening request, real time stock information and the searching times received to whole Stock is ranked up.Stock sequence portion 302 extracts the real-time market value in real time stock information, and according to the real-time city of all stocks The size of value carries out descending and arranges to obtain First ray, and by whole stocks in the rear 90%-100% in First ray according to Searching times carry out descending and arrange to obtain the second sequence again.
Figure 10 is the First ray schematic diagram in the present invention
As shown in Figure 10, in the present embodiment, by taking in the market one shares 3000 stocks as an example.By from stock information service The real-time market value size of 3000 stocks obtained at device carries out descending arrangement form First ray, and real-time market value is maximum to be come First of First ray, the 3000th that comes First ray of real-time market value minimum.Again by 90%- rear in First ray 100% stock, i.e., the stock of the 2700th to the 3000th carry out descending according to searching times and arrange to obtain the second sequence, searches Most first that comes the second sequence of rope number, minimum the 300th that comes the second sequence of searching times.
Figure 11 is the second sequence diagram in the present invention.
As shown in figure 11, Stock Selecting portion 303 is used for according to the screening conditions that user terminal is sent in the second sequence The stock in 88%-98% is screened to obtain the selection result afterwards.I.e. by the 264th in 300 stocks in the second sequence To 30 stocks of the 294th, i.e., eastwardly China Telecom (300166) ties up 30 value stocks between communication (300136) to letter, according to The screening conditions received are screened, and obtain the selection result.
This selection result is sent to user terminal 20 by service side communication unit 304.User side communication unit 203 receives sieve After selecting result, the selection result picture for including the selection result is shown to user by input display unit 202.
Fig. 7 is the action flow chart that searching times add up in the embodiment of the present invention two.
As shown in fig. 7, the motion flow that 30 ' searching times of server add up includes the following steps:
Step S4-1 shows searching screen, user is allowed to input search field, subsequently into step S4-2;
Step S4-2, once user confirms the search field of input, by the searching request and search field of user Server is sent to, subsequently into step S4-3;
Step S4-3, service receives searching request and search field, subsequently into step S4-4;
Search field and stored respective field are compared by step S4-4, subsequently into step S4-5;
Step S4-5, the user is judged when search field is identical with the certain field stored, and in search, the field is corresponding Some stock, subsequently into step S4-6;
Step S4-6 adds up the searching times of respective stock according to the judgement result of step S4-5.
Fig. 8 is the action flow chart that the Stock Selecting based on searching times recommends method in the embodiment of the present invention two.
As shown in figure 8, the Stock Selecting based on searching times recommends the motion flow of method 10 ' to include the following steps:
Step S1, the input display screening picture of display unit 202, allows user to input screening conditions, subsequently into step S2;
Once user confirms the screening conditions of input, the screening request of user and screening conditions are sent out by step S2 Server is given, subsequently into step S3;
Step S3 receives screening request and screening conditions, and is received according to screening request from stock information server With the corresponding real-time market value of all stocks, extract from search count section 307 and the corresponding searching times of all stocks, Subsequently into step S4;
Step S4 carries out descending according to the real-time market value size of acquired all stocks and arranges to obtain First ray, and The stock in the first predetermined sequencing horizon in First ray is carried out descending again according to searching times to arrange to obtain the second sequence Row, subsequently into step S5;
Step S5 according to screening conditions, screens the stock in the rear 88%-98% in the second sequence As a result, subsequently into step S6;
The selection result is sent to user terminal by step S6, subsequently into step S7;
Step S7 shows the selection result picture, and the selection result is illustrated in the selection result picture.
In embodiment two, the searching times extracted from search count section 307 are the search in one day.It is counted when from search When the searching times extracted in portion 307 are searching times interior per hour, stock sequence portion 302 also has search time in embodiment Number computing unit 3021 can be obtained correcting searching times, and searched using the amendment by searching times by the calculating for subscribing rule Rope number carries out descending and arranges to obtain the second sequence.That is, searching times calculating part 3021 carries out the searching times of 24 hours Summation obtains day searching times.It arranges to obtain the second sequence using day searching times as according to First ray progress descending.
The effect of embodiment two
The Stock Selecting based on searching times in the present invention recommends method, because input display unit can allow user to input Screening request and screening conditions can be sent to service by screening content and the screening content for receiving user, user side communication unit Device, service side communication unit can receive screening request and screening conditions, and be received according to screening request from stock information service The real-time market value corresponding with all stocks of device and from search server and the corresponding searching times of all stocks, All stocks can be carried out descending arrangement by stock sequence portion according to the size of real-time market value, and by the stock in certain sequencing horizon Stub carries out descending arrangement again according to searching times, and Stock Selecting portion can be according to screening conditions, by the stock after minor sort again In a certain range of stock screened to obtain the selection result, recently enter display unit by the screening knot comprising the selection result Fruit picture exhibition is to user, so being ranked up the screening by the stock after sequence according to user again to stock according to searching times The stock that user is recommended after conditional filtering allows for the selection result of influence of user's searching times to stock yield, improves Recommend the earning rate of stock.In addition, there is server search count section can scan for number based on the platform of itself It counts without relying on external data, such data source has higher accuracy and stronger specific aim.
Further, the search field determination unit in the present invention has the function of to automatically update, and can identify with incorrect Search field and being matched be updated in field storage unit, convenient for search next time.Such function causes this hair The recommendation of the Stock Selecting based on the searching times method of bright offer can more match the use habit of user, improve the experience of user Sense.
Screening factor cooperation searching times factor pair stock the present invention also provides a variety of mainstreams is screened, and is being added in Original screening system is remained while the new factor so that this screening recommendation method has more preferable compared with past method Accuracy and higher stock yield is provided.
In addition, being had chosen in stock sequence portion, searching times are few, i.e. the low stock of investor's attention rate is further sieved Choosing, take full advantage of investor's attention rate it is low it is negatively correlated with stock yield this study found that preferably recommending high receive for user The stock of beneficial rate.
The principle of method is recommended to elaborate the Stock Selecting based on searching times that embodiment provides below.
The present invention can be brought compared to being paid close attention to high stock by investor based on being paid close attention to low certain stocks by investor Higher this discovery of income, prove the conclusion below based on the following data fact and statistical analysis.
First, data acquire
The search of the user that the present invention is provided using telecommunications fixed network on a search engine records to obtain investor's attention rate Data, i.e., by numerous netizens search content in a browser whether the frequency containing respective stock title or code come into Row statistics.
Money stock transaction data comes from communications and liaison data platform, and by the API interfaces that communications and liaison data provide, acquisition includes Situation etc. whether transaction data, city's value information, opening quotation in various days.
The period of data acquisition is 2016.01-2016.12, and acquisition range includes the whole city and surpasses 3000 stocks, unites Meter frequency is once counted every other hour to be every.
2nd, variable-definition
Investor day attention rate:First the searching times interior per hour of every stock are carried out summarizing summation, then by every The searching times of 24 hours of stock carry out summarizing summation.
Stock yield:(today closing price-a upper day of trade closing price)/upper day of trade closing price.
Market value:Data are derived from the excellent ore deposit platform of communications and liaison data.
3rd, research model
This research builds following basic model by excellent ore deposit strategy Development platform:
(1) investor day attention rate and stock yield correlation
Calculate related coefficient (IC values):
Wherein, X is investor day attention rate, and Y is stock yield.
(2) initiation parameter, initialization running environment and account setup.
(3) data processing and generation are bought in and sell list
Buy_list lists are generated according to policing rule, specific rules are different regarding Different Strategies.
(4) order operation
It determines weight distribution, order operation is carried out using excellent ore deposit platform order_pct_to () function.
(5) it returns and surveys interpretation of result
The data and result for returning the generation of survey process are analyzed, and adjust ginseng optimisation strategy.
4th, interpretation of result
1. investor's attention rate and stock yield correlation research
" investor's attention rate " and the factor availability of stock yield are tested first, calculate IC values.We distinguish Calculate T days after T+1 days, T+2 days, T+3 days, T+4 days and T+5 days investor's attention rate factor IC values, herein I Using Normal IC (Pearson came correlativity), i.e., certain time point factor is in the factor exposure value of whole stocks and its The section related coefficient of next period return.The results are shown in Table 1.
The IC values of 1 investor's attention rate factor of table
Figure 13 is the IC value variation tendency schematic diagrames of investor's attention rate factor.
As shown in figure 13, the attention rate factor is not changed, only at 9 points in the statistics proxima luce (prox. luc) morning arrives at 9 points in the morning recently The sum of numerical value, income (T+1) of the earning rate for every stock today, it is found that IC mean values are generally more than zero, and with when Between growth, IC values continuously decrease, that is, meet the feature of attention rate factor timeliness.
2. current attention rate is studied with revenue relations
Test the effect of selecting stocks of the attention rate factor.The test of T+0 days is carried out first, that is, utilizes investor's attention rate on the same day The factor is selected stocks, and is returned and is surveyed the time as 2016.01.07-2017.01.09, and baseline HS300, initial capital is 100,000,000 yuan. Specific strategy thought is before same day attention rate ranking 20, and is not bought in then in the account;In the account but attention rate does not discharge into First 20 are sold.
Figure 14 is stock yield schematic diagram.
As shown in figure 14, compared with baseline, the stock chosen using screening strategy provided by the present invention is achieved very Good excess earnings.
3. attention rate effect study
Stock all in the market by searching times descending is arranged, then be divided into ten groups with 10% interval, controls institute There is its dependent variable, ten groups of stocks are tested respectively.Parameter setting:It returns and surveys the period as 2016/01/07-2017/01/09, Baseline is HS300, and initial capital is 100,000,000 yuan and carries out every 5 day of trade once adjusting storehouse.
Operating procedure:Choose respective sets section stock, if stock in the account and be not in upper one day respective sets Duan Ze work as Day opening quotation is all sold;If stock, account total assets is not bought in same day opening quotation in the account and if upper one day is in respective sets section (1/ group section stock sum);Buy in the group section whole stock first day of trade.
The test result obtained is as shown in table 2.
2 stock of table is grouped test result
As shown in table 2, the income of the stock portfolio of 10% minimum stock of attention rate more highest than attention rate 10% is high Go out 49.8%!
Figure 15 is year income, maximum withdrawal, Alpha and volatitle revenue dynamic change schematic diagram.
As shown in figure 15, with the promotion of attention rate, earning rate and Alpha in the trend that is decreased obviously, and maximum is withdrawn and Volatitle revenue dynamic rate is in apparent ascendant trend.This all illustrates that the stock that searching times are low compared with the high stock of searching times can obtain Obtain better income.
Figure 16 is grouping Sharpe Ratio change schematic diagram.
As shown in figure 16, observation grouping Sharpe Ratio value as attention rate increases, has apparent downward trend.
4. investor's attention rate based on market value is studied with revenue relations
The number of market value represents the scale of construction and scale of company, and many times market can move in turn effect in apparent market value Should, therefore be added to market value as a key factor in the research of investor's attention rate and revenue relations.
Experimental procedure:Stock all in the market by market value is grouped, chooses the minimum 10%-20% stocks of market value, it is right This part is divided into 10 groups according still further to attention rate, considers the impact effect of the attention rate factor.The tool of attention rate Effects of Factors effect Body experimental procedure is identical with the experimental procedure in attention rate effect study, while following experiment eliminates suspended stock.
It is as a result as shown in table 3 below,
The attention rate Effects of Factors effect of the stock of the minimum 10%-20% of 3 market value of table
Visual analyzing is carried out to table 3, dotted line is logarithm Trendline in figure.
Figure 17 be low market value stock year income, Alpha's change schematic diagram.
The beta of the low market value stocks of Figure 18, Sharpe Ratio market value change schematic diagram.
The maximum of the low market value stocks of Figure 19 is withdrawn, volatitle revenue dynamic rate change schematic diagram.
As in figs. 17-19, the apparent negatively correlated relationship of year income, Alpha, Sharpe Ratio and temperature factor, it was demonstrated that After excluding market value and influencing, relatively low attention rate can be brought to a certain degree with respect to excess earnings.
5. conclusion
First, after the IC values to investor's attention rate factor calculate invention one day IC mean values be 0.02, this says There is correlation, therefore investor's attention rate factor has certain value of selecting stocks between bright attention rate and earning rate.
Secondly, stock related data is divided into ten groups according to investor's attention rate and tested by us, find attention rate with There are negative correlations, the i.e. lower stock of attention rate between earning rate, Sharpe Ratio, alpha value can bring better income.
Finally the market value of stock is added in the research of investor's attention rate factor, after market value is taken to be in sorting The stock of 10%-20% is tested, as a result with apparent negative correlation.I.e. investor's attention rate has with stock yield Certain negative correlativing relation, the lower stock of attention rate can bring better income.
Preferred case of the above embodiment for the present invention, is not intended to limit protection scope of the present invention.

Claims (9)

1. a kind of Stock Selecting based on searching times recommends method, obtained and the corresponding search time of stock from search server Number, and carry out screening recommendation using described search number as the stock screened in factor pair stock market, which is characterized in that including following Step:
Step S-1, display screening picture, allows user to input screening conditions;
Step S-2, once the user confirms the screening conditions of input, by the screening request of the user and screening item Part is sent to the server;
Step S-3 receives the screening request and the screening conditions, and is received according to the screening request from stock information The real-time market value corresponding with all stocks of server and corresponding with all stocks from described search server Searching times;
Step S-4 carries out descending according to the real-time market value size of acquired all stocks and arranges to obtain the first sequence Row, and the stock in the first predetermined sequencing horizon in the First ray is subjected to descending row again according to described search number Row obtain the second sequence;
Step S-5 according to the screening conditions, to the stock in the second preset range in second sequence screen To the selection result;
The selection result is sent to user terminal by step S-6;
Step S-7 shows the selection result picture, and the selection result is illustrated in the selection result picture.
2. the Stock Selecting according to claim 1 based on searching times recommends method, it is characterised in that:
Wherein, the screening conditions include the valuation factor, growth factor, flow constant, profit the factor, technique factor, fluctuation because Son and scale factor.
3. the Stock Selecting according to claim 2 based on searching times recommends method, it is characterised in that:
Wherein, the valuation factor includes dividend yield, cash yield, earnings yield rate, book market value ratio and p/e ratio phase To get a profit rate of increase,
The growth factor include total assets growth rate, earnings per share growth rate, per-share earnings increase, net profit growth rate and Take in net profit margin,
The flow constant includes accounts receivable, stock turnover rate, turnover rate of fixed assets, debt total assets ratio and property right ratio Rate,
The profit factor shows including net assets income ratio, payback of assets, turn battalion's rate of gross profit, net profit on sales rate and a net profit Jin Liu,
The technique factor includes 1 month momentum, 6 months momentum, turnover rate, equal line and resources flow,
The fluctuation factor is included in exchange hand standard deviation, amount of increase and amount of decrease standard deviation, drop fluctuation, income relative fluctuation and wave amplitude Digit,
The scale factor includes total of current asset, circulation value, total market capitalisation, income market value ratio and intangible asset ratio.
4. the Stock Selecting according to claim 1 based on searching times recommends method, it is characterised in that:
Wherein, the stock in the described first predetermined sequencing horizon is whole stocks in the rear 50%-100% in the First ray Ticket.
5. the Stock Selecting according to claim 1 based on searching times recommends method, it is characterised in that:
Wherein, the stock in the described second predetermined sequencing horizon is whole stocks in the rear 50%-98% in second sequence Ticket.
6. a kind of Stock Selecting based on searching times recommends method, using searching times as the stock screened in factor pair stock market Carry out screening recommendation, which is characterized in that include the following steps:
Step S1, display screening picture, allows user to input screening conditions;
Step S2, once the user confirms the screening conditions of input, by the screening request of the user and screening item Part is sent to the server;
Step S3 receives the screening request and the screening conditions, and is received according to the screening request from stock information Server with all corresponding real-time market values of stock, extraction with the corresponding searching times of all stocks;
Step S4 carries out descending according to the real-time market value size of acquired all stocks and arranges to obtain the first sequence Row, and the stock in the first predetermined sequencing horizon in the First ray is subjected to descending row again according to described search number Row obtain the second sequence;
Step S5 according to the screening conditions, to the stock in the second preset range in second sequence screen To the selection result;
The selection result is sent to user terminal by step S6;
Step S7 shows the selection result picture, and the selection result is illustrated in the selection result picture.
7. the Stock Selecting according to claim 6 based on searching times recommends method, which is characterized in that
Wherein, the stock in the described first predetermined sequencing horizon is whole stocks in the rear 50%-100% in the First ray Ticket.
8. the Stock Selecting according to claim 6 based on searching times recommends method, it is characterised in that:
Wherein, the stock in the described second predetermined sequencing horizon is whole stocks in the rear 50%-98% in second sequence Ticket.
9. the Stock Selecting according to claim 6 based on searching times recommends method, which is characterized in that the step S4 In described search number obtained by following steps:
Step S4-1 shows searching screen, and user is allowed to input search field;
Step S4-2, once the user confirms the search field of input, by the searching request of the user and search Field is sent to server;
Step S4-3, the service receive described search request and described search field;
Described search field and stored respective field are compared by step S4-4;
Step S4-5, the user is judged when described search field is identical with the certain field stored, and in search, the field is corresponding Some stock;
Step S4-6 adds up the searching times of respective stock according to the judgement result of step S4-5.
CN201711261074.0A 2017-12-04 2017-12-04 A kind of Stock Selecting based on searching times recommends method Pending CN108133421A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109685656A (en) * 2018-12-21 2019-04-26 天津知柿信息科技有限公司 A kind of stock market's tendency intelligent Forecasting and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101807186A (en) * 2009-02-17 2010-08-18 李铭 Multidimensional ranking method
CN104750873A (en) * 2015-04-22 2015-07-01 百度在线网络技术(北京)有限公司 Popular search term push method and device
CN105989540A (en) * 2015-02-10 2016-10-05 上海华颂软件科技有限公司 Stock selecting method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101807186A (en) * 2009-02-17 2010-08-18 李铭 Multidimensional ranking method
CN105989540A (en) * 2015-02-10 2016-10-05 上海华颂软件科技有限公司 Stock selecting method and system
CN104750873A (en) * 2015-04-22 2015-07-01 百度在线网络技术(北京)有限公司 Popular search term push method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109685656A (en) * 2018-12-21 2019-04-26 天津知柿信息科技有限公司 A kind of stock market's tendency intelligent Forecasting and system

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Application publication date: 20180608