CN105684030A - Statistical method and system of transaction price in house property net - Google Patents
Statistical method and system of transaction price in house property net Download PDFInfo
- Publication number
- CN105684030A CN105684030A CN201680000125.1A CN201680000125A CN105684030A CN 105684030 A CN105684030 A CN 105684030A CN 201680000125 A CN201680000125 A CN 201680000125A CN 105684030 A CN105684030 A CN 105684030A
- Authority
- CN
- China
- Prior art keywords
- price
- house property
- amount
- money
- loan
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007619 statistical method Methods 0.000 title claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 14
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Operations Research (AREA)
- Technology Law (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a statistical method and system of transaction prices in house property net. The method comprises the following steps: after the house property is transacted, loan amount of bank and money of down payment supervisor are acquired; the loan amount and money of supervisor are added to obtain the price of the house property. The technical proposal has the advantage of statistical accuracy.
Description
Technical field
The present invention relates to the Internet and house property field, particularly relate to a kind of house property net concluded price statistical method and system.
Background technology
House property is the important item of the daily inhabitation of people, except live except, also be investment staple, price belong in house property user pay close attention to main information, the statistical method of existing room rate is to report price by intermediary, thus its price not statistical uncertainty really.
Summary of the invention
The application provides a kind of house property net concluded price statistical method. It solves the not statistical uncertainty true shortcoming of technical scheme of prior art.
On the one hand, it is provided that a kind of house property net concluded price statistical method, comprise the steps: described in
After house property strikes a bargain, obtain the amount of the loan of bank and the amount of money of down payment supervision;
The amount of money of the amount of the loan and supervision is added up the price obtaining this house property.
Optionally, described method also includes:
The price of this house property and conclusion of the business average price are compared.
Optionally, described method also includes:
Add up the flat price of every month, generate the price change curve of identical address.
Second aspect, it is provided that a kind of house property net concluded price statistical system, described system includes:
Acquiring unit, for, after house property strikes a bargain, obtaining the amount of the loan of bank and the amount of money of down payment supervision;
Superpositing unit, for adding up, by the amount of money of the amount of the loan and supervision, the price obtaining this house property.
Optionally, described system also includes:
Comparing unit, for comparing the price of this house property and conclusion of the business average price.
Optionally, described system also includes:
Curved unit, for the flat price adding up every month, generates the price change curve of identical address.
Technical scheme provided by the invention, after house property strikes a bargain, obtains the amount of the loan of bank and the amount of money of down payment supervision, the amount of money of the amount of the loan and supervision adds up the price obtaining this house property, so it has price statistics advantage accurately.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below the accompanying drawing used required during embodiment is described is briefly described, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The flow chart of a kind of house property net concluded price statistical method that Fig. 1 provides for the present invention the first better embodiment;
The structure chart of a kind of house property net concluded price statistical system that Fig. 2 provides for the present invention the second better embodiment.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Refer to Fig. 1, Fig. 1 is a kind of house property net concluded price statistical method that the present invention the first better embodiment proposes, and the method is as it is shown in figure 1, comprise the steps:
Step S101, after house property strikes a bargain, obtain the amount of the loan of bank and the amount of money of down payment supervision;
Step S102, the amount of money of the amount of the loan and supervision is added up the price obtaining this house property.
Technical scheme provided by the invention, after house property strikes a bargain, obtains the amount of the loan of bank and the amount of money of down payment supervision, the amount of money of the amount of the loan and supervision adds up the price obtaining this house property, so it has price statistics advantage accurately.
Optionally, said method can also include after step s 102:
Step S103, the price of this house property and conclusion of the business average price are compared.
Optionally, said method can also include after step s 102:
Add up the flat price of every month, generate the price change curve of identical address.
Refer to Fig. 2, Fig. 2 is a kind of house property net concluded price statistical system that the present invention the second better embodiment proposes, and this system includes:
Acquiring unit 201, for, after house property strikes a bargain, obtaining the amount of the loan of bank and the amount of money of down payment supervision;
Superpositing unit 202, for adding up, by the amount of money of the amount of the loan and supervision, the price obtaining this house property.
Technical scheme provided by the invention, after house property strikes a bargain, obtains the amount of the loan of bank and the amount of money of down payment supervision, the amount of money of the amount of the loan and supervision adds up the price obtaining this house property, so it has price statistics advantage accurately.
Optionally, said system can also include:
Comparing unit 203, for comparing the price of this house property and conclusion of the business average price.
Optionally, said system can also include:
Curved unit 204, for the flat price adding up every month, generates the price change curve of identical address.
It should be noted that, for each embodiment of the method aforesaid, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, certain some step can adopt other orders or carry out simultaneously. Secondly, those skilled in the art also should know, embodiment described in this description belongs to preferred embodiment, necessary to involved action and the module not necessarily present invention.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, the part being not described in certain embodiment, it is possible to referring to the associated description of other embodiments.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment can be by the hardware that program carrys out instruction relevant and completes, this program can be stored in a computer-readable recording medium, storage medium may include that flash disk, read only memory are (English: Read-OnlyMemory, be called for short: ROM), random access device (English: RandomAccessMemory, RAM), disk or CD etc. be called for short:.
The content download method above embodiment of the present invention provided and relevant device, system are described in detail, principles of the invention and embodiment are set forth by specific case used herein, and the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention;Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this specification content should not be construed as limitation of the present invention.
Claims (6)
1. a house property net concluded price statistical method, it is characterised in that described in comprise the steps:
After house property strikes a bargain, obtain the amount of the loan of bank and the amount of money of down payment supervision;
The amount of money of the amount of the loan and supervision is added up the price obtaining this house property.
2. method according to claim 1, it is characterised in that described method also includes:
The price of this house property and conclusion of the business average price are compared.
3. method according to claim 1, it is characterised in that described method also includes:
Add up the flat price of every month, generate the price change curve of identical address.
4. a house property net concluded price statistical system, it is characterised in that described system includes:
Acquiring unit, for, after house property strikes a bargain, obtaining the amount of the loan of bank and the amount of money of down payment supervision;
Superpositing unit, for adding up, by the amount of money of the amount of the loan and supervision, the price obtaining this house property.
5. system according to claim 4, it is characterised in that described system also includes:
Comparing unit, for comparing the price of this house property and conclusion of the business average price.
6. system according to claim 4, it is characterised in that described system also includes:
Curved unit, for the flat price adding up every month, generates the price change curve of identical address.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/072122 WO2017128033A1 (en) | 2016-01-26 | 2016-01-26 | Method and system for transaction price tabulation on real estate network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105684030A true CN105684030A (en) | 2016-06-15 |
Family
ID=56215975
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680000125.1A Pending CN105684030A (en) | 2016-01-26 | 2016-01-26 | Statistical method and system of transaction price in house property net |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105684030A (en) |
| WO (1) | WO2017128033A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157195A (en) * | 2016-07-08 | 2016-11-23 | 盛玉伟 | Property price method for drafting and system |
| WO2018006397A1 (en) * | 2016-07-08 | 2018-01-11 | 盛玉伟 | Method and system for representing click count associated with real estate properties |
| CN110069687A (en) * | 2019-03-15 | 2019-07-30 | 平安城市建设科技(深圳)有限公司 | Target cell room rate tendency drawing generating method, device, equipment and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7917431B2 (en) * | 2007-05-18 | 2011-03-29 | Bank Of America Corporation | Equity protection |
| CN102831554A (en) * | 2012-06-18 | 2012-12-19 | 青岛禧泰房产数据技术有限公司 | House price guide system |
| CN103578057A (en) * | 2012-08-10 | 2014-02-12 | 北京奥齐都市网络科技有限公司 | Real estate value estimation method based on artificial neural network statistic model |
-
2016
- 2016-01-26 WO PCT/CN2016/072122 patent/WO2017128033A1/en active Application Filing
- 2016-01-26 CN CN201680000125.1A patent/CN105684030A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157195A (en) * | 2016-07-08 | 2016-11-23 | 盛玉伟 | Property price method for drafting and system |
| WO2018006397A1 (en) * | 2016-07-08 | 2018-01-11 | 盛玉伟 | Method and system for representing click count associated with real estate properties |
| CN110069687A (en) * | 2019-03-15 | 2019-07-30 | 平安城市建设科技(深圳)有限公司 | Target cell room rate tendency drawing generating method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017128033A1 (en) | 2017-08-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| He et al. | Housing and liquidity | |
| Brown et al. | Managing hydroclimatological risk to water supply with option contracts and reservoir index insurance | |
| CN107067319A (en) | Loan limit measuring method and device | |
| CN109919719A (en) | Information-pushing method calculates equipment and computer storage medium | |
| Johnson et al. | Are Adjustable‐Rate Mortgage Borrowers Borrowing Constrained? | |
| CN105447028A (en) | Method and device for identifying characteristic account | |
| US10346816B2 (en) | Systems and methods for aggregating consumer-specific transactions associated with a social venture | |
| CN105684027A (en) | House resource verifying method and system for real estate network | |
| CN105684030A (en) | Statistical method and system of transaction price in house property net | |
| CN112150267A (en) | Computer equipment and enterprise power consumption analysis system | |
| Stapledon | Trends and Cycles in S ydney and M elbourne House Prices from 1880 to 2011 | |
| Yusof et al. | Rental index rate as an alternative to interest rate in Musharakah Mutanaqisah home financing: a simulation approach | |
| CN105723410A (en) | Method and system for displaying house resources in real estate network | |
| KR101799395B1 (en) | Server, method and terminal for loan judgment | |
| CN109190925A (en) | Declaration form recommended method, device, computer equipment and storage medium | |
| CN104751234A (en) | User asset predicting method and device | |
| US11157974B2 (en) | Prepaid utility metering with complex rates using advanced metering infrastructure (AMI) smart meters | |
| CN105684028A (en) | Housing website information publishing method and system | |
| CN105684029A (en) | Real estate network agent information management method and real estate network agent information management system | |
| CN113450198A (en) | Financial statement generation method, device and system based on alliance chain | |
| McDonald et al. | Dynamics of housing price: Foreclosure rate interactions | |
| Alkali | Assessing the forecasting performance of ARIMA and ARIMAX models of residential prices in Abuja Nigeria | |
| CN112150268A (en) | Computer equipment and intelligent customer acquisition system | |
| CN111091462A (en) | Network request processing method and device | |
| Coates et al. | Estimating cash buyers and transaction volumes in the residential property sector in Ireland 2000-2014 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160615 |