CN104091285B - The method of automatic identification bond price quotation - Google Patents
The method of automatic identification bond price quotation Download PDFInfo
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- CN104091285B CN104091285B CN201410367159.7A CN201410367159A CN104091285B CN 104091285 B CN104091285 B CN 104091285B CN 201410367159 A CN201410367159 A CN 201410367159A CN 104091285 B CN104091285 B CN 104091285B
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Abstract
The invention belongs to financial information technology field, there is provided the method for automatic identification bond price quotation, comprise the following steps：Client's login system, price data identification operation is carried out to all opening texts by the quotation identification module in system, generates effectively quotation, and being stored in bond database；Checked by bond data simultaneous module to server request, operate full dose bond data；Bond data are stored in inner buffer by server, while are supplied to client；During the operation that full dose bond data are changed, increase, deleted, server can monitor the change conditions in bond database automatically, and the data of variation are stored in into inner buffer.The present invention has and can accurately identify the information that bond product, bid price, number of transaction, dealing direction and specific product trading illustrate aspect, and by its Auto-writing in related form, without manual operation, accuracy rate is high, the characteristics of quickness and high efficiency.
Description
Technical field
The invention belongs to financial information technology field, more particularly to a kind of method of automatic identification bond price quotation.
Background technology
With deepening constantly for financial market reform, financial transaction especially bond OTC trading volumes are skyrocketed through.But city
Still offered on field using chat tool to issue with products transactions, user needs to filter out in rambling chat content
Useful product information and quote data, workload is big, deletes and selects speed slow, and easily misses useful information, even if accurately
Errorless filters out product information and quote data, then it is artificial can also make a mistake when filled in the table, because
This, accuracy rate is low.
Therefore, financial information technology field be badly in need of one kind can accurately identify bond product, bid price, number of transaction,
Dealing direction and specific product trading illustrate the information of aspect, and by its Auto-writing in related form, without people
For operation, accuracy rate is high, the method for the automatic identification bond price quotation of quickness and high efficiency.
The content of the invention
The invention provides the method for automatic identification bond price quotation, technical scheme are as follows：
The method of automatic identification bond price quotation, it is characterised in that comprise the following steps：
Step 1, client open client, login system, by the quotation identification module in system to including chat content
All opening texts inside carry out price data identification operation, generate effectively quotation, and being stored in bond database, specifically
Step is as follows：
Step a01, the data for needing to increase or change are pasted into the quotation identification module page；
Step a02, branch is carried out to data by branch marker；
Step a03, the row is segmented by participle logic to data,
Step a04, each word of data is classified, judges that sorted data whether there is in such successively,
If it does, the word is abandoned, if it does not, recording product information, untill each word of data is disposed；Repeat
Step a03, next line data are dealt with, step a05 is performed until being fully completed；
Step a05, user confirm quotation identification data, click on ACK button after accurate and are submitted；
Step a06, the quotation identification data of submission pass through recording module generation effectively quotation, while will effectively offer of offering
Data upload onto the server, and are stored in bond database；
Step 2, client are checked to server request by bond data simultaneous module, operate full dose bond data；
Step 3, bond data are stored in inner buffer by server, while are supplied to client, are checked, are operated for client；
Step 4, during the operation that client is changed, increased, deleted to full dose bond data, server can monitor automatically
Change conditions in bond database, and the data of variation are stored in inner buffer, realize data and the client of bond database
The data at end are consistent, comprise the following steps that：
Step b01, server can monitor the change conditions in bond database automatically；
Incremental data in bond database is assembled into standard bond data by step b02, server；
Step b03, by client of the standard bond data-pushing to client enrollment after assembling；
Step b04, client update or are added into inner buffer according to the standard bond data code of push.
The beneficial effects of the invention are as follows：
1. invention increases bond database, to the bond information on Maintenance Market, the information is divided into bond basis
Information and bond market information, bond Back ground Information mainly include：Bond codes, bond abbreviation, the delivery time, coupon rate,
Main body is graded and liability grading；Bond market information mainly includes：Bond codes, bond abbreviation, market category, Time To Market,
The lower city time, stored, managed by bond database, more adding system, accurately, data are not allowed easy to be lost.
2. it can accurately identify bond product, bid price invention increases quotation identification module, number of transaction, buy
Sell direction and specific product trading illustrates the information of aspect, the quote data that user imports is handled and divided
Analysis, picks out invalid content, filters out effective product data and quote data, and is converted into the recognizable mark of bond operation system
Quasi- data.
3. the quotation recording module in related form, grasps recognizable normal data Auto-writing without artificial
Make, the standard price input system used for user, main typing information includes：Bond product code or abbreviation, offer personnel,
Direction, transaction value are bought and sold, number of transaction and quotation illustrate, while the system supports that typing dealing bilateral price and high-volume are more
Bar price, full-featured, accuracy rate is high, quickness and high efficiency.
4. adding bond data simultaneous module, client is checked to server request by bond data simultaneous module, grasped
Make full dose bond data, by the data synchronization information of server and bond database, ensure information and bond that client sees
Information in database is completely the same, more accurately, efficiently, will not cause economy to bondholder because of the relation of time difference
Loss, there is more wide applicability.
Brief description of the drawings
Describe the present invention in detail with reference to the accompanying drawings and detailed description：
Fig. 1 is the flow chart of the method for automatic identification bond price quotation of the present invention.
Embodiment
In order that measure, creation characteristic, reached purpose and effect that the technology of the present invention is realized are easy to understand, tie below
Conjunction is specifically illustrating, and the present invention is expanded on further.
The invention provides the method for automatic identification bond price quotation, the method for automatic identification bond price quotation, it is characterised in that
Comprise the following steps：
Fig. 1 is the flow chart of the method for automatic identification bond price quotation of the present invention, as shown in figure 1,
Step 1, client open client, login system, by the quotation identification module 101 in system to including chat
All opening texts including content carry out price data identification operation, generate effectively quotation, and be stored in bond database
In 1031, comprise the following steps that：
Step a01, the data for needing to increase or change are pasted into the quotation page of identification module 101；
Step a02, branch is carried out to data by branch marker；
Step a03, the row is segmented by participle logic to data,
Step a04, each word of data is classified, can be divided into：Product data, quote data and trading volume data 3
Class, judge that sorted data whether there is in such successively, if it does, the word is abandoned, if it does not, record product
Information, untill each word of data is disposed, comprise the following steps that；
Step c, each word is classified, be such as product data, performed step c01, such as perform step for quote data
D, step e such as is performed for trading volume data, such as all words processing is completed, and performs step a05；
Step c01, judge whether the row is existing product data, such as exist, perform step c02；It is not present, performs step
Rapid c05；
Step c02, judge whether the product information is consistent with existing product, it is inconsistent to hold if unanimously, performing c03
Row c04；
Step c03, the word is abandoned, return to step c01, continue to identify next word；
Step c04, branch is carried out by beginning of the sentence of the data, recording product information, repeat step c01 to c04, continues to identify
Next word, untill the identification of all words finishes；
Step d, it is categorized as detecting price data, "/" such as be present is bilateral data, performs d01, otherwise, performs d08；
Step d01, quote data is divided into quotation 1 and quotation 2 by "/"；
Step d02, such as quotation 1 is data, performs step d03, otherwise abandons；
Step d03, such as quotation 2 is data, performs step d04, otherwise abandons；,
Step d04, such as quotation 1 are less than 30, labeled as earning rate, perform step d06, otherwise perform d05；
Step d05, calculation of price is carried out to quotation 1, calculates effective yield；
Step d06, such as quotation 2 are less than 30, labeled as earning rate, perform step d08, otherwise perform d07；
Step d07, calculation of price is carried out to quotation 2, calculates effective yield；
Step d08, such as quotation 1 and quotation 2 are data, perform step d09, otherwise perform step d10；
Step d09, such as earning rate of quotation 1 are less than quotation 2, and record quotation 1 is buyer's price, and quotation 2 is price of the selling party；
Otherwise record quotation 1 is price of the selling party, and quotation 2 is buyer's price；
Step d10, quotation 1 is such as only existed, record quotation 1 is buyer's price；Quotation 2 is such as only existed, record quotation 2 is to sell
Square price；
Step d11, detect next word, repeat step d to d10 steps, untill all words are all detected and finished；
Step e, trading volume data are categorized as, "/" such as be present, trading volume is divided into trading volume 1 and trading volume 2 by "/",
E01 is performed, it is all same trading volume otherwise to mark All Activity price, carries out next word processing；
Step e01, such as has determined that basis of price, by basis of price firm bargain trading volume, performs step e02, otherwise holds
Row step e04；
Step e02, such as quotation 1 is buyer's price, and trading volume 1 is buyer transaction amount, and trading volume 2 is seller transaction amount；Such as
Quotation 1 is price of the selling party, and trading volume 1 is seller transaction amount, and trading volume 2 is buyer transaction amount；
Step e03, put the amount of transacting business processing in the lexeme and complete mark, carry out next word processing, repeat step e extremely
The step of e03；
Step e04, such as uncertain basis of price, trading processing mark is waited in the word opsition dependent amount of transacting business, is carried out down
The processing of one word, the step of repeating step e to e04；
Step e05, until all words are disposed, all quotation key elements are detected again；
Step e06, product information is such as not present, abandons data, product information such as be present, divided using the data as beginning of the sentence
OK, recording product information；
Step e07, be such as not present basis of price, dealing information record is empty, basis of price such as be present, with product information
Corresponding position record basis of price；
Step e08, be such as not present deal size information, trading volume data record is empty, deal size information such as be present, with production
Product information and basis of price it is corresponding position record deal size information；
Step e09, do not completed in the presence of dealing information and trading volume bearing mark such as, the amount of being traded direction discernment；
Step e10, by include product information, basis of price, deal size information all quotation key elements be converted into standard
Marked price data, it is filled on the quotation page.
Step a05, user confirm quotation identification data, click on ACK button after accurate and are submitted；
Step a06, the quotation identification data of submission generate effective quotation by recording module 102 of offering, while will be effective
Quote data uploads onto the server 103, in deposit bond database 1031；
Step 2, client are checked to the request of server 103 by bond data simultaneous module 104, operate full dose bond number
According to；
Step 3, bond data are stored in inner buffer by server 103, while are supplied to client, are checked, are grasped for client
Make；
Step 4, during the operation that client is changed, increased, deleted to full dose bond data, server 103 can supervise automatically
The change conditions in bond database 1031 are controlled, and the data of variation are stored in inner buffer, realize the number of bond data 1031
According to consistent with the data of client, comprise the following steps that：
Step b01, server 103 can monitor the change conditions in bond database 1031 automatically；
Incremental data in bond database is assembled into standard bond data by step b02, server 103；
Step b03, by client of the standard bond data-pushing to client enrollment after assembling；
Step b04, client update or are added into inner buffer according to the standard bond data code of push.
It is useful to how the present invention filters out from rambling chat content automatically with reference to specific embodiment
Product information and quote data illustrate：
Step 1, quote data is replicated to identifying system from chat tool, such as table 1
Table 1
Step a01, the data for needing to increase or change, the specific page such as table are pasted into the quotation page of identification module 101
Lattice 2：
Table 2
Step a02, branch is carried out to data by branch marker；Obtain 5 row data
(1) (2) 71054.20/4.002000/3000AAA is moved in 3.28Y02；Secured
(2) 3.4Y02 revive traffic debt 71105.15 (oco)/-- 5000/--AAA；Secured
(3) iron debt 7094--/4.00--/4000AAA in 2.44Y01；Secured
(4) 5.36Y12 rivers Guangyuan 124026.SH4.06 (*, packing, 1)/5.013000/--AA/AA+；Secured
(5) 0.45Y+5Y09 Zhengzhou bank debt 092015--/4.00--/4000AA/AA-
Step a03, the 1st row is segmented by participle logic to data, obtains 6 groups of words
(I) (2) (III) 7105 (IV) 4.20/4.00 (V) 2000/3000 (VI) AAA is moved in 3.28Y (II) 02；There is load
Protect
Step a04, each word of data is classified,
Step c, (I) 3.28Y is classified, the word is meaningless, abandons, continues next word；
Classify to moving (2) in (II) 02, the word is product data, continues next word；
(III) 7105 is classified, the word is product data, and the existing product (c03), discarding, continuation are next
Word；
(IV) 4.20/4.00 is classified, the word is price data, continues next word；
(V) 2000/3000 is classified, the word is trading volume data, continues next word；
To (VI) AAA；Secured is classified, and the word is meaningless, is abandoned, and all word inspections finish, and performs step d；
Step d, it is categorized as detecting price data, "/" such as be present is bilateral data, performs d01；
Step d01, quote data is divided into 2 (4.00) of quotation 1 (4.20) and quotation by "/"；
Step d02,1 (4.20) of quotation are effective quote data, perform step d03；
Step d03,2 (4.00) of quotation are effective quote data, perform step d04；
Step d04,1 (4.20) of quotation are less than 30, labeled as earning rate, perform step d06；
Step d06,2 (4.00) of offering, labeled as earning rate, perform step d08；
Step d08, quotation 1 and quotation 2 are all data, perform step d09；
Step d09,1 earning rate of offering are less than quotation 2, and record quotation 1 be buyer's price, and it 2 is price of the selling party to offer；
Step e, trading volume data are categorized as, "/" be present, trading volume is divided into trading volume 1 (2000) and transaction by "/"
2 (3000) are measured, perform e01；
Step e01, such as has determined that basis of price, by basis of price firm bargain trading volume, performs step e02
Step e02, such as quotation 1 are buyer's price, and trading volume 1 (2000) is buyer transaction amount, and trading volume 2 (3000) is to sell
Square trading volume；
Step e03, put the amount of transacting business processing in the lexeme and complete mark, carry out next word processing；
Step e05, until all words are disposed, all quotation key elements are detected again；
Repeat step a03, next line data are dealt with, step a05 is performed until being fully completed；
Step a05, user confirm quotation identification data, click on ACK button after accurate and are submitted, such as table 3：
Table 3
Step a06, the quotation identification data of submission generate effective quotation by recording module 102 of offering, while will be effective
Quote data uploads onto the server 103, in deposit bond database 1031；
Step 2, client are checked to the request of server 103 by bond data simultaneous module 104, operate full dose bond number
According to；
Step 3, bond data are stored in inner buffer by server 103, while are supplied to client, are checked, are grasped for client
Make；
Step 4, during the operation that client is changed, increased, deleted to full dose bond data, server 103 can supervise automatically
The change conditions in bond database 1031 are controlled, and the data of variation are stored in inner buffer, realize the number of bond data 1031
According to consistent with the data of client, comprise the following steps that：
Step b01, server 103 can monitor the change conditions in bond database 1031 automatically；
Incremental data in bond database is assembled into standard bond data by step b02, server 103；
Step b03, by client of the standard bond data-pushing to client enrollment after assembling；
Step b04, client updates according to the standard bond data code of push or is added into inner buffer, such as table 4：
Table 4
Invention increases bond database, and to the bond information on Maintenance Market, the information is divided into bond basis letter
Breath and bond market information, bond Back ground Information mainly include：Bond codes, referred to as, the delivery time, coupon rate is main for bond
Body is graded and liability grading；Bond market information mainly includes：Bond codes, bond abbreviation, market category, Time To Market, under
City's time, stored, managed by bond database, more adding system, accurately, data are not allowed easy to be lost.
Invention increases quotation identification module, can accurately identify bond product, bid price, number of transaction, buy
Sell direction and specific product trading illustrates the information of aspect, the quote data that user imports is handled and divided
Analysis, picks out invalid content, filters out effective product data and quote data, and is converted into the recognizable mark of bond operation system
Quasi- data.
Invention is added quotation recording module, by recognizable normal data Auto-writing in related form, without
Manual operation, the standard price input system used for user, main typing information include：Bond product code or abbreviation, report
Valency personnel, buy and sell direction, transaction value, number of transaction and quotation illustrate, while the system support typing dealing bilateral price and
In high volume a plurality of price, full-featured, accuracy rate is high, quickness and high efficiency.
Invention increases bond data simultaneous module, client is looked into by bond data simultaneous module to server request
See, operate full dose bond data, by the data synchronization information of server and bond database, ensure information that client sees with
Information in bond database is completely the same, more accurately, efficiently, will not be caused because of the relation of time difference to bondholder
Economic loss, there is more wide applicability.
General principle, principal character and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the simply explanation described in above-described embodiment and specification is originally
The principle of invention, various changes and modifications of the present invention are possible without departing from the spirit and scope of the present invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent defines.
Claims (2)
1. the method for automatic identification bond price quotation, it is characterised in that comprise the following steps：
Step 1, client open client, login system, by the quotation identification module in system to including chat content
All opening texts carry out price data identification operation, generate effectively quotation, and be stored in bond database, specific steps
It is as follows：
Step a01, the data for needing to increase or change are pasted into the quotation identification module page；
Step a02, branch is carried out to data by branch marker；
Step a03, the row is segmented by participle logic to data,
Step a04, each word of data is classified, judge that sorted data whether there is in such successively, if
In the presence of, the word is abandoned, if it does not, recording product information, untill each word of data is disposed；Repeat step
A03, next line data are dealt with, step a05 is performed until being fully completed；
Step a05, user confirm quotation identification data, click on ACK button after accurate and are submitted；
Step a06, the quotation identification data of submission are effectively offered by recording module generation of offering, while will be described effective
Quote data uploads onto the server, and is stored in the bond database；
Step 2, client are checked to server request by bond data simultaneous module, operate full dose bond data；
Step 3, bond data are stored in inner buffer by the server, while are supplied to client, are checked, are operated for client；
Step 4, during the operation that client is changed, increased, deleted to full dose bond data, the server can monitor automatically
The change conditions of data in the bond database, and the data of variation are stored in inner buffer, realize the bond database
Data it is consistent with the data of client, comprise the following steps that：
Step b01, the server can monitor the change conditions of data in bond database automatically；
Incremental data in bond database is assembled into standard bond data by step b02, the server；
Step b03, by the client of the standard bond data-pushing to client enrollment after assembling；
Step b04, the client update or are added into inner buffer according to the standard bond data code of push.
2. the method for automatic identification bond price quotation according to claim 1, it is characterised in that a04 pairs in the step 1
Data are classified, and are divided into：Product data, quote data and trading volume data.
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| CN101119334A (en) * | 2007-09-21 | 2008-02-06 | 腾讯科技（深圳）有限公司 | Method, system and equipment for obtaining neology |
| CN101360071A (en) * | 2008-09-16 | 2009-02-04 | 腾讯科技（深圳）有限公司 | Method and system for multimedia resource sharing based on instant chat |
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| US8224738B2 (en) * | 2005-08-31 | 2012-07-17 | Credit Market Analysis, Ltd. | Methods, software, and systems for over-the-counter trading |
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| CN101119334A (en) * | 2007-09-21 | 2008-02-06 | 腾讯科技（深圳）有限公司 | Method, system and equipment for obtaining neology |
| CN101360071A (en) * | 2008-09-16 | 2009-02-04 | 腾讯科技（深圳）有限公司 | Method and system for multimedia resource sharing based on instant chat |
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