CN109345138A - A kind of venture evaluation system based on big data - Google Patents
A kind of venture evaluation system based on big data Download PDFInfo
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- CN109345138A CN109345138A CN201811263376.6A CN201811263376A CN109345138A CN 109345138 A CN109345138 A CN 109345138A CN 201811263376 A CN201811263376 A CN 201811263376A CN 109345138 A CN109345138 A CN 109345138A
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Abstract
The venture evaluation system based on big data that the invention discloses a kind of, including decision recommending module, investor's module, display, controller, memory module, big data module, industry retrieval unit, object retrieval unit, data processing unit, data analysis unit, data input module and retrieval recording unit；The data input module inputs investment objective information for user, and investment objective information is the Business Name for preparing investment；The data input module is used to for investment objective information being transferred to data analysis unit, and the data analysis unit is used to analyze investment objective information and acquire the affiliated trade information of investment objective information；The present invention inputs targeted company's information of investment by data input module for user, targeted company is analyzed using data analysis unit later, the affiliated industry of the targeted company is obtained, and the sector is retrieved using industry retrieval unit, acquires the relevant information of the sector.
Description
Technical field
The invention belongs to investment fields, are related to a kind of risk assessment technology, specifically a kind of investment wind based on big data
Dangerous assessment system.
Background technique
Investment risk refers to the uncertainty for the income that invests in the future, and may suffer from loss in revenue in investment even originally
The risk of gold loss.For example, stock may be entangled firm, bond may not be able to repay capital with interest on schedule, and real estate may drop
Deng being all investment risk.Investor needs to select financial instrument according to the investment objective and risk partiality of oneself.For example, dispersion is thrown
Money is the method that effective science is controlled risk and most common investment way, and it is each will to make an investment in bond, stock, cash etc.
Pro rate appropriate is carried out between class investment tool, on the one hand can reduce risk, while can also improve return.Because point
A variety of investment concerns and financial instrument will be related to by dissipating investment and Asset Allocation, so hundred million suggestion investors of wealth are preferably consulting
It carries out dispersing high-quality investment again after asking financial planner.
Investment risk is performance of the risk phenomenon in investment process.Specifically, investment risk be exactly from make investment
Decision starts to time horizon of vestment to terminate in this period, due to the influence of uncontrollable factor or enchancement factor, actual investment income with
Prospective earnings deviate.The deviation of actual investment income and prospective earnings, existing the former is higher than the possibility of the latter, also there is the former
Lower than the possibility of the latter；The possibility for suffering economic loss existing in other words also has the possibility for obtaining extra returns, they are all to throw
The risk form of money.
Always along with risk, the different phase of investment has different risks for investment, and investment risk can also live with investment
Dynamic progress and change, risk property, the risk schedule for investing different phase are also different.Investment risk generally has predictable
Property it is poor, compensability is poor, risk lifetime is long, caused by loss and influence that big, disparity items risk difference is big, kinds of risks
Factor simultaneously and deposit, intersect compound action the characteristics of.
And correctly avoid investment risk, it is that each investor it is expected the thing realized in investment process, but works as
Preceding numerous due to investment influence factor, whether an enterprise is worth investment, also lacks a kind of effective assessment technology；And
In order to solve drawbacks described above, a solution is now provided.
Summary of the invention
The venture evaluation system based on big data that the purpose of the present invention is to provide a kind of.
The technical problems to be solved by the invention are as follows:
(1) title for the targeted company how to be provided according to user can accomplish the related letter of automatically retrieval client company
Breath and corresponding subordinate trade information；
(2) how quantification treatment is carried out to the information retrieved, is assessed convenient for the investment value to the said firm；
(3) how to determine whether the said firm is worth investment, and provide corresponding proposed recommendations.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of venture evaluation system based on big data, including decision recommending module, investor's module, display,
Controller, memory module, big data module, industry retrieval unit, object retrieval unit, data processing unit, data analysis are single
Member, data input module and retrieval recording unit；
Wherein, the data input module inputs investment objective information for user, and investment objective information is to prepare investment
Business Name；The data input module is used to for investment objective information being transferred to data analysis unit, the data analysis
Unit is used to analyze investment objective information and acquire the affiliated trade information of investment objective information, the data point
Analysis unit is used to for investment objective information being transferred to object retrieval unit, and the data analysis unit is used for affiliated trade information
It is transferred to industry retrieval unit；
The object retrieval unit and industry retrieval unit are communicated to connect with big data module, and the big data module is used
It is coupled to each other in internet for obtaining the big data information in internet；
The object retrieval unit is used to carry out following processing to investment objective information according to big data module, specific to handle
Step are as follows:
Step 1: investment objective information is got；
Step 2: stock market information, the corporate message, total sale of targeted company are corresponded to according to investment objective information automatically retrieval
Volume information and bad credit number information；Total sales volume information is the total sales volume of targeted company's last year, bad credit number letter
Breath is the record of breaking one's promise of company management process；
Step 3: the current share prices information of targeted company, and the historical stock price of corresponding stock market are got according to stock market information
Information；
Step 4: the number of breaking one's promise of corresponding corporate message is got using big data module according to corporate message；
The object retrieval unit is used for the current share prices information of targeted company, historical stock price information, corresponding legal person's letter
Number of breaking one's promise, total sales volume information and the bad credit number information of breath are transferred to data processing unit, and data processing unit is used
In to targeted company current share prices information, historical stock price information, the number of breaking one's promise of corresponding corporate message, total sales volume information and
Bad credit number information carries out following processing, specific processing step are as follows:
Step 1: getting the current share prices information of targeted company, and current share prices information and preset value X1 and X2 are carried out
Compare the latent value Gq for obtaining targeted company, and X1 < X2；Latent value Gq is used to evaluate the existing strength of company；Gq value assigns rule are as follows:
S1: being Gs by current share prices information flag, as Gs: when≤X1, enabling Gq=0；
S2: being that Gs enables Gq=0.5 as X1 < Gs < X2 by current share prices information flag；
S3: being that Gs enables Gq=1 as Gs > X2 by current share prices information flag；
Step 2: getting the historical stock price information that targeted company corresponds to stock market, and historical stock price information be labeled as Gi,
I=1...n；
Utilize formulaIt seeks obtaining share price float value Q1；
Step 3: the corresponding number of breaking one's promise of targeted company corporate message is got, number defines the said firm according to breaking one's promise
Credit worthiness Gx is executed, process is specifically defined are as follows:
S1: the number that will break one's promise is labeled as Sx, Sx is compared with preset value X3, X4, X3 < X4；And according to comparison result
Demarcate Sx value；
S2: as Sx≤X3, Gx=1 is enabled；
S3: as X3 < Sx < X4, Gx=0.6 is enabled；
S4: as Sx >=X4, Gx=0.3 is enabled；
Step 4: getting the total sales volume information of targeted company's last year, and is Xs by total sales volume information flag；
Step 5: the bad credit number of corresponding company is got using big data module and marks bad credit number
For Bs, and demarcate according to bad credit number the credit value Sy of the said firm；Specific calibration process are as follows:
S1: Bs being compared with preset value X5, X6, X5 < X6, and demarcates Sy value according to comparison result；
S2: as Bs≤X5, Sy is assigned a value of 1；
S3: as X5 < Bs < X6, Sy is assigned a value of 0.5；
S4: as Bs >=X6, Sy is assigned a value of 0.2；
The data processing unit is used for latent value Gq, share price float value Q1, executes credit worthiness Gx, total sales volume information Xs
Controller is transferred to credit value Sy；
The industry retrieval unit receives the affiliated trade information of data analysis unit transmission, and the industry retrieval unit is used
Following retrievals, specific searching step are carried out to affiliated trade information in combination big data module are as follows:
Step 1: getting the first three years of targeted company continuous, industry share accounting, industry share account in the market
Than selling amount accounting in the market for targeted company；
Step 2: industry share accounting is labeled as Fi, i=1,2,3, wherein F3 indicates last year industry part in the market
Volume accounting, F2 be F3 the previous year industry share accounting, F1 and so on the previous year；
The industry retrieval unit is used to F1, F2 and F3 being transferred to data processing unit, the data processing unit pair
F1, F2 and F3 carry out specified calculating, specify and calculate are as follows:
Using formula be calculated share accounting at long value Cz, formula is
The data processing unit will be for that will be transferred to controller at long value Cz；
The latent value Gq of the controller receiving data processing unit transmission, share price float value Q1, credit worthiness Gx, total pin are executed
Sell volume information Xs, credit value Sy and at long value Cz；The controller is used for according to formula Qn=Gq*(Q1+Xs)*Sy*Cz*GxIt calculates
Risk reciprocal value Qn.
Further, the controller is commented for risk reciprocal value Qn to be stamped timestamp and merges the formation of investment objective information
Estimate record information, the controller is transferred to memory module for that will assess record information, and the memory module receives assessment note
Record information simultaneously carries out real-time storage；The controller, which is used to for risk reciprocal value Qn to be transferred to display, carries out real-time display.
Further, investor's module inputs investment for user and judges rule, and it is as follows that rule is judged in the investment:
Step 1: fiducial value A1 and A2 are inputted by user；
Step 2: risk reciprocal value Qn is compared with A1, A2；
Step 3: by the investment objective information flag being then at this time it is not recommended that the investment objective as Qn≤A1；
Step 4: being at this time the careful investment objective by the investment objective information flag as A1 < Qn < A2；
Step 5: as Qn > A2, being by the investment objective information flag at this time can the investment objective；
Investor's module judges regular transmission to decision recommending module for that will invest, and the decision recommending module is used
In the risk reciprocal value Qn being calculated in acquisition controller automatically, and risk reciprocal value Qn is judged into rule in investment and is compared
To decision recommendation information, the decision recommending module is used to decision recommendation information being transferred to controller, and the controller is used for
Decision recommendation information is transferred to display and carries out real-time display, the controller is used to decision recommendation information stamping timestamp
And investment objective information forming process information is merged, the controller is used to for procedural information to be transferred to memory module and carry out in real time
Storage.
Further, the data input module is used to investment objective information being transferred to retrieval recording unit, the inspection
Rope recording unit receives the investment objective information group of data input module transmission several times, and investment objective information group is to use several times
The investment objective information combination of family input；The retrieval recording unit is used to carry out following processing to investment objective information group:
Step 1: investment objective information all in investment objective information group is got；
Step 2: the trade information where investment objective information all in investment objective information group is got；
Step 3: counting the trade information of the most industry of frequency of occurrence and is demarcated as being inclined to industry；
The retrieval recording unit is used to that industry will to be inclined to and investment objective information is transferred to memory module and is deposited in real time
Storage.
Beneficial effects of the present invention:
(1) present invention inputs targeted company's information of investment by data input module for user, utilizes data later
Analytical unit analyzes targeted company, obtains the affiliated industry of the targeted company, and using industry retrieval unit to the sector
It is retrieved, acquires the relevant information of the sector；
(2) present invention can handle the data retrieved, be acquired latent by the setting of data processing unit
Value Gq, share price float value Q1, credit worthiness Gx, total sales volume information Xs, credit value Sy are executed and is passed at long value Cz, and by these values
It is defeated to arrive controller；Later controller receiving data processing unit transmission latent value Gq, share price float value Q1, execute credit worthiness Gx,
Total sales volume information Xs, credit value Sy and at long value Cz；The controller is used for according to formula Qn=Gq*(Q1+Xs)*Sy*Cz*Gx
Calculation risk reciprocal value Qn；The potentiality of the said firm are evaluated according to risk reciprocal value Qn；
(3) present invention passes through the setting of investor's module, can be used for user and inputs investment judge rule；Investor's module is used
Regular transmission is judged to decision recommending module in that will invest, and decision recommending module can be obtained in controller automatically and is calculated later
Risk reciprocal value Qn, and by risk reciprocal value Qn in investment judge rule be compared to obtain decision recommendation information, last decision pushes away
It recommends module and forms relevant Decision and real-time display for decision recommendation information to be transferred to controller；The present invention is simple and effective, and
It is easy to practical.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of venture evaluation system based on big data, including decision recommending module, investor's mould
Block, display, controller, memory module, big data module, industry retrieval unit, object retrieval unit, data processing unit,
Data analysis unit, data input module and retrieval recording unit；
Wherein, the data input module inputs investment objective information for user, and investment objective information is to prepare investment
Business Name；The data input module is used to for investment objective information being transferred to data analysis unit, the data analysis
Unit is used to analyze investment objective information and acquire the affiliated trade information of investment objective information, the data point
Analysis unit is used to for investment objective information being transferred to object retrieval unit, and the data analysis unit is used for affiliated trade information
It is transferred to industry retrieval unit；
The object retrieval unit and industry retrieval unit are communicated to connect with big data module, and the big data module is used
It is coupled to each other in internet for obtaining the big data information in internet；
The object retrieval unit is used to carry out following processing to investment objective information according to big data module, specific to handle
Step are as follows:
Step 1: investment objective information is got；
Step 2: stock market information, the corporate message, total sale of targeted company are corresponded to according to investment objective information automatically retrieval
Volume information and bad credit number information；Total sales volume information is the total sales volume of targeted company's last year, bad credit number letter
Breath is the record of breaking one's promise of company management process；
Step 3: the current share prices information of targeted company, and the historical stock price of corresponding stock market are got according to stock market information
Information；
Step 4: the number of breaking one's promise of corresponding corporate message is got using big data module according to corporate message；
The object retrieval unit is used for the current share prices information of targeted company, historical stock price information, corresponding legal person's letter
Number of breaking one's promise, total sales volume information and the bad credit number information of breath are transferred to data processing unit, and data processing unit is used
In to targeted company current share prices information, historical stock price information, the number of breaking one's promise of corresponding corporate message, total sales volume information and
Bad credit number information carries out following processing, specific processing step are as follows:
Step 1: getting the current share prices information of targeted company, and current share prices information and preset value X1 and X2 are carried out
Compare the latent value Gq for obtaining targeted company, and X1 < X2；Latent value Gq is used to evaluate the existing strength of company；Gq value assigns rule are as follows:
S1: being Gs by current share prices information flag, as Gs: when≤X1, enabling Gq=0；
S2: being that Gs enables Gq=0.5 as X1 < Gs < X2 by current share prices information flag；
S3: being that Gs enables Gq=1 as Gs > X2 by current share prices information flag；
Step 2: getting the historical stock price information that targeted company corresponds to stock market, and historical stock price information be labeled as Gi,
I=1...n；
Utilize formulaIt seeks obtaining share price float value Q1；
Step 3: the corresponding number of breaking one's promise of targeted company corporate message is got, number defines the said firm according to breaking one's promise
Credit worthiness Gx is executed, process is specifically defined are as follows:
S1: the number that will break one's promise is labeled as Sx, Sx is compared with preset value X3, X4, X3 < X4；And according to comparison result
Demarcate Sx value；
S2: as Sx≤X3, Gx=1 is enabled；
S3: as X3 < Sx < X4, Gx=0.6 is enabled；
S4: as Sx >=X4, Gx=0.3 is enabled；
Step 4: getting the total sales volume information of targeted company's last year, and is Xs by total sales volume information flag；
Step 5: the bad credit number of corresponding company is got using big data module and marks bad credit number
For Bs, and demarcate according to bad credit number the credit value Sy of the said firm；Specific calibration process are as follows:
S1: Bs being compared with preset value X5, X6, X5 < X6, and demarcates Sy value according to comparison result；
S2: as Bs≤X5, Sy is assigned a value of 1；
S3: as X5 < Bs < X6, Sy is assigned a value of 0.5；
S4: as Bs >=X6, Sy is assigned a value of 0.2；
The data processing unit is used for latent value Gq, share price float value Q1, executes credit worthiness Gx, total sales volume information Xs
Controller is transferred to credit value Sy；
The industry retrieval unit receives the affiliated trade information of data analysis unit transmission, and the industry retrieval unit is used
Following retrievals, specific searching step are carried out to affiliated trade information in combination big data module are as follows:
Step 1: getting the first three years of targeted company continuous, industry share accounting, industry share account in the market
Than selling amount accounting in the market for targeted company；
Step 2: industry share accounting is labeled as Fi, i=1,2,3, wherein F3 indicates last year industry part in the market
Volume accounting, F2 be F3 the previous year industry share accounting, F1 and so on the previous year；
The industry retrieval unit is used to F1, F2 and F3 being transferred to data processing unit, the data processing unit pair
F1, F2 and F3 carry out specified calculating, specify and calculate are as follows:
Using formula be calculated share accounting at long value Cz, formula is
The data processing unit will be for that will be transferred to controller at long value Cz；
The latent value Gq of the controller receiving data processing unit transmission, share price float value Q1, credit worthiness Gx, total pin are executed
Sell volume information Xs, credit value Sy and at long value Cz；The controller is used for according to formula Qn=Gq*(Q1+Xs)*Sy*Cz*GxIt calculates
Risk reciprocal value Qn；
The controller forms assessment record letter for risk reciprocal value Qn to be stamped timestamp and merges investment objective information
Breath, the controller are transferred to memory module for that will assess record information, and the memory module receives assessment record information simultaneously
Carry out real-time storage；The controller, which is used to for risk reciprocal value Qn to be transferred to display, carries out real-time display；
Investor's module inputs investment for user and judges rule, and it is as follows that rule is judged in the investment:
Step 1: fiducial value A1 and A2 are inputted by user；
Step 2: risk reciprocal value Qn is compared with A1, A2；
Step 3: by the investment objective information flag being then at this time it is not recommended that the investment objective as Qn≤A1；
Step 4: being at this time the careful investment objective by the investment objective information flag as A1 < Qn < A2；
Step 5: as Qn > A2, being by the investment objective information flag at this time can the investment objective；
Investor's module judges regular transmission to decision recommending module for that will invest, and the decision recommending module is used
In the risk reciprocal value Qn being calculated in acquisition controller automatically, and risk reciprocal value Qn is judged into rule in investment and is compared
To decision recommendation information, the decision recommending module is used to decision recommendation information being transferred to controller, and the controller is used for
Decision recommendation information is transferred to display and carries out real-time display, the controller is used to decision recommendation information stamping timestamp
And investment objective information forming process information is merged, the controller is used to for procedural information to be transferred to memory module and carry out in real time
Storage.
The data input module is used to investment objective information being transferred to retrieval recording unit, the retrieval recording unit
The investment objective information group of data input module transmission several times is received, investment objective information group is the throwing of user's input several times
Provide target information combination；The retrieval recording unit is used to carry out following processing to investment objective information group:
Step 1: investment objective information all in investment objective information group is got；
Step 2: the trade information where investment objective information all in investment objective information group is got；
Step 3: counting the trade information of the most industry of frequency of occurrence and is demarcated as being inclined to industry；
The retrieval recording unit is used to that industry will to be inclined to and investment objective information is transferred to memory module and is deposited in real time
Storage.
A kind of venture evaluation system based on big data passes through data input module input pair at work first
Business Name is answered, data analysis unit is used to get the industry belonging to it automatically according to Business Name later, later by company
Title is transferred to object retrieval unit, and its affiliated industry is transferred to industry retrieval unit, is combined by object retrieval unit
Big data module can retrieve the relevant information about the said firm, while retrieve corresponding industry using industry retrieval unit
The risk reciprocal value of the said firm is calculated in relevant information using dependency rule later, utilizes investor's module combination decision later
Recommending module judges rule according to investment and determines in the risk reciprocal value which kind of decision this makes；
Beneficial effects of the present invention are as follows:
(1) present invention inputs targeted company's information of investment by data input module for user, utilizes data later
Analytical unit analyzes targeted company, obtains the affiliated industry of the targeted company, and using industry retrieval unit to the sector
It is retrieved, acquires the relevant information of the sector；
(2) present invention can handle the data retrieved, be acquired latent by the setting of data processing unit
Value Gq, share price float value Q1, credit worthiness Gx, total sales volume information Xs, credit value Sy are executed and is passed at long value Cz, and by these values
It is defeated to arrive controller；Later controller receiving data processing unit transmission latent value Gq, share price float value Q1, execute credit worthiness Gx,
Total sales volume information Xs, credit value Sy and at long value Cz；The controller is used for according to formula Qn=Gq*(Q1+Xs)*Sy*Cz*Gx
Calculation risk reciprocal value Qn；The potentiality of the said firm are evaluated according to risk reciprocal value Qn；
(3) present invention passes through the setting of investor's module, can be used for user and inputs investment judge rule；Investor's module is used
Regular transmission is judged to decision recommending module in that will invest, and decision recommending module can be obtained in controller automatically and is calculated later
Risk reciprocal value Qn, and by risk reciprocal value Qn in investment judge rule be compared to obtain decision recommendation information, last decision pushes away
It recommends module and forms relevant Decision and real-time display for decision recommendation information to be transferred to controller；The present invention is simple and effective, and
It is easy to practical.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (4)
1. a kind of venture evaluation system based on big data, which is characterized in that including decision recommending module, investor's mould
Block, display, controller, memory module, big data module, industry retrieval unit, object retrieval unit, data processing unit,
Data analysis unit, data input module and retrieval recording unit；
Wherein, the data input module inputs investment objective information for user, and investment objective information is to prepare the public affairs of investment
Take charge of title；The data input module is used to investment objective information being transferred to data analysis unit, the data analysis unit
For being analyzed investment objective information and being acquired the affiliated trade information of investment objective information, the data analysis is single
Member is for being transferred to object retrieval unit for investment objective information, and the data analysis unit is for transmitting affiliated trade information
To industry retrieval unit；
The object retrieval unit and industry retrieval unit are communicated to connect with big data module, the big data module be used for
Internet is coupled to each other for obtaining the big data information in internet；
The object retrieval unit is used to carry out following processing, specific processing step to investment objective information according to big data module
Are as follows:
Step 1: investment objective information is got；
Step 2: stock market information, corporate message, the total sales volume letter of targeted company are corresponded to according to investment objective information automatically retrieval
Breath and bad credit number information；Total sales volume information is the total sales volume of targeted company's last year, and bad credit number information is
The record of breaking one's promise of company management process；
Step 3: the current share prices information of targeted company, and the historical stock price information of corresponding stock market are got according to stock market information；
Step 4: the number of breaking one's promise of corresponding corporate message is got using big data module according to corporate message；
The object retrieval unit is used for the current share prices information of targeted company, historical stock price information, corresponds to corporate message's
Break one's promise number, total sales volume information and bad credit number information is transferred to data processing unit, data processing unit for pair
The current share prices information of targeted company, historical stock price information, the number of breaking one's promise of corresponding corporate message, total sales volume information and bad
Credit number information carries out following processing, specific processing step are as follows:
Step 1: getting the current share prices information of targeted company, and current share prices information is compared with preset value X1 and X2
Obtain the latent value Gq of targeted company, and X1 < X2；Latent value Gq is used to evaluate the existing strength of company；Gq value assigns rule are as follows:
S1: being Gs by current share prices information flag, as Gs: when≤X1, enabling Gq=0；
S2: being that Gs enables Gq=0.5 as X1 < Gs < X2 by current share prices information flag；
S3: being that Gs enables Gq=1 as Gs > X2 by current share prices information flag；
Step 2: the historical stock price information that targeted company corresponds to stock market is got, and historical stock price information is labeled as Gi, i=
1...n；
Utilize formulaIt seeks obtaining share price float value Q1；
Step 3: the corresponding number of breaking one's promise of targeted company corporate message is got, the execution of the said firm is defined according to number of breaking one's promise
Credit worthiness Gx, is specifically defined process are as follows:
S1: the number that will break one's promise is labeled as Sx, Sx is compared with preset value X3, X4, X3 < X4；And it is demarcated according to comparison result
Sx value；
S2: as Sx≤X3, Gx=1 is enabled；
S3: as X3 < Sx < X4, Gx=0.6 is enabled；
S4: as Sx >=X4, Gx=0.3 is enabled；
Step 4: getting the total sales volume information of targeted company's last year, and is Xs by total sales volume information flag；
Step 5: the bad credit number of corresponding company is got using big data module and is labeled as bad credit number
Bs, and demarcate according to bad credit number the credit value Sy of the said firm；Specific calibration process are as follows:
S1: Bs being compared with preset value X5, X6, X5 < X6, and demarcates Sy value according to comparison result；
S2: as Bs≤X5, Sy is assigned a value of 1；
S3: as X5 < Bs < X6, Sy is assigned a value of 0.5；
S4: as Bs >=X6, Sy is assigned a value of 0.2；
The data processing unit is used for latent value Gq, share price float value Q1, executes credit worthiness Gx, total sales volume information Xs and award
Letter value Sy is transferred to controller；
The industry retrieval unit receives the affiliated trade information of data analysis unit transmission, and the industry retrieval unit is for tying
It closes big data module and following retrievals, specific searching step is carried out to affiliated trade information are as follows:
Step 1: getting the first three years of targeted company continuous, industry share accounting, industry share accounting are in the market
Amount accounting is sold in the market by targeted company；
Step 2: industry share accounting is labeled as Fi, i=1,2,3, wherein F3 indicates that last year, industry share accounted in the market
Than the industry share accounting that, F2 is F3 the previous year, F1 and so on the previous year；
The industry retrieval unit is used to F1, F2 and F3 being transferred to data processing unit, and the data processing unit is to F1, F2
Specified calculating is carried out with F3, specifies and calculates are as follows:
Using formula be calculated share accounting at long value Cz, formula is
The data processing unit will be for that will be transferred to controller at long value Cz；
The latent value Gq of the controller receiving data processing unit transmission, share price float value Q1, credit worthiness Gx, total sales volume are executed
Information Xs, credit value Sy and at long value Cz；The controller is used for according to formula Qn=Gq*(Q1+Xs)*Sy*Cz*GxCalculation risk
Reciprocal value Qn.
2. a kind of venture evaluation system based on big data according to claim 1, which is characterized in that the control
Device forms assessment record information for risk reciprocal value Qn to be stamped timestamp and merges investment objective information, and the controller is used for
Assessment record information is transferred to memory module, the memory module receives assessment record information and carries out real-time storage；It is described
Controller, which is used to for risk reciprocal value Qn to be transferred to display, carries out real-time display.
3. a kind of venture evaluation system based on big data according to claim 1, which is characterized in that the investment
Square module inputs investment for user and judges rule, and it is as follows that rule is judged in the investment:
Step 1: fiducial value A1 and A2 are inputted by user；
Step 2: risk reciprocal value Qn is compared with A1, A2；
Step 3: by the investment objective information flag being then at this time it is not recommended that the investment objective as Qn≤A1；
Step 4: being at this time the careful investment objective by the investment objective information flag as A1 < Qn < A2；
Step 5: as Qn > A2, being by the investment objective information flag at this time can the investment objective；
Investor's module judges regular transmission to decision recommending module for that will invest, and the decision recommending module is used for certainly
It is dynamic to obtain the risk reciprocal value Qn being calculated in controller, and risk reciprocal value Qn is compared in investment judge rule and is determined
Plan recommendation information, the decision recommending module are used to for decision recommendation information being transferred to controller, and the controller will be for that will determine
Plan recommendation information is transferred to display and carries out real-time display, and the controller is for stamping timestamp for decision recommendation information and melting
Investment objective information forming process information is closed, the controller is deposited in real time for procedural information to be transferred to memory module
Storage.
4. a kind of venture evaluation system based on big data according to claim 1, which is characterized in that the data
Input module is used to for investment objective information being transferred to retrieval recording unit, and it is defeated that the retrieval recording unit receives data several times
Enter the investment objective information group of module transfer, investment objective information group is the investment objective information combination of user's input several times；
The retrieval recording unit is used to carry out following processing to investment objective information group:
Step 1: investment objective information all in investment objective information group is got；
Step 2: the trade information where investment objective information all in investment objective information group is got；
Step 3: counting the trade information of the most industry of frequency of occurrence and is demarcated as being inclined to industry；The retrieval note
Record unit is transferred to memory module and carries out real-time storage for that will be inclined to industry and investment objective information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811263376.6A CN109345138A (en) | 2018-10-28 | 2018-10-28 | A kind of venture evaluation system based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110162902A (en) * | 2019-05-28 | 2019-08-23 | 河南城建学院 | A kind of Evaluation Method of Distribution Systems Reliability based on cloud computing |
| CN112308467A (en) * | 2020-11-26 | 2021-02-02 | 上海济邦投资咨询有限公司 | Engineering project risk assessment system based on big data |
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2018
- 2018-10-28 CN CN201811263376.6A patent/CN109345138A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110162902A (en) * | 2019-05-28 | 2019-08-23 | 河南城建学院 | A kind of Evaluation Method of Distribution Systems Reliability based on cloud computing |
| CN110162902B (en) * | 2019-05-28 | 2020-03-27 | 河南城建学院 | Power distribution system reliability evaluation method based on cloud computing |
| CN112308467A (en) * | 2020-11-26 | 2021-02-02 | 上海济邦投资咨询有限公司 | Engineering project risk assessment system based on big data |
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Application publication date: 20190215 |