CN106780035A - Index Formula processing method, computational methods, processing unit and computing system for cloud computing - Google Patents
Index Formula processing method, computational methods, processing unit and computing system for cloud computing Download PDFInfo
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Abstract
The invention discloses a kind of Index Formula processing method for cloud computing, including, logic judgment, assignment and operation rule generating run formula in analytic index formula；Operation formula is distributed into each computing node carries out computing, also discloses the computational methods based on cloud computing trading instruction, processing unit and computing system.The arithmetic speed for buying and selling instruction is substantially improved in disk using cloud computing for the present invention：Because having calculated the critical point price of triggering dealing, in newest transaction cycle, it is only necessary to judge that recent quotation is more than or less than critical point price, it is possible to draw a conclusion, save the time of complete computing Index Formula, it is possible to dealing operation result is faster made than traditional approach.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of Index Formula treatment side for cloud computing
Method, computational methods, processing unit and computing system.
Background technology
It is, according to the Index Formula write in advance, to calculate dealing point that securities futures trading has a kind of method of commerce, has been supplied
Computer transactions remind manual transaction.Current trade variety is numerous, only domestic by Shanghai and Shenzhen exchange listing transaction in 2016
Stock 3000 is branched, and each trade variety in Hong Kong and external exchange adds up to up to ten thousand.Domestic equity exchange produced one per 1-3 seconds
The high-frequency transaction datas such as individual transaction data, futures each kinds second produces tens of pens even more data.Most current
The software of operating index formula is all unit operation, and arrival can all trigger complete formula operation per pen data.In high frequency
The speed of service of Index Formula can strong influence income during transaction.Therefore solve high-frequency data under multi items rapid computations, tool
There is high economic worth.
The content of the invention
The purpose of the present invention is directed to technological deficiency present in prior art, and provides a kind of index for cloud computing
Formula processing method, computational methods, processing unit and computing system.
To realize that the technical scheme that the purpose of the present invention is used is：
A kind of Index Formula processing method for cloud computing, including,
Logic judgment, assignment and operation rule generating run formula in analytic index formula；
Operation formula is distributed into each computing node carries out computing.
Described operation rule includes arithmetic, function and Monte Carlo simulation sentence.
Described resolving to will only use the formula row of market data as ground floor, will directly quote ground floor computing knot
The formula row of fruit as the second layer, and so on stop after without the formula row for only quoting last layer formula row operation result
The formula subchain that multiple levels are distributed is included to be formed, different formula subchains is distributed into different server carries out computing；Need
Call the function of multiple variables to distribute to and collect server, wait each formula subchain operation result to be calculated after reaching and most terminate
Really.
The distribution rule for running formula includes, by the formula operation of different cycles, decomposes nonidentity operation node and transported
Calculate；And/or, carry out computing to multiple servers according to partition time period time period；And/or, arrive many according to different cultivars partition
Individual server carries out computing.
The computational methods of bargain transaction instruction in a kind of disk based on cloud computing, including,
Acquisition includes the market data of stock future historical quotes and forwards it to the calculate node of cloud computing；
Critical point price is calculated according to Index Formula；
Whether real time price meets or exceeds critical point price in comparing present quotation data in disk, and if it is output is handed over
Or easily suggestion direct dealing.
The interval interpolation method that uses of the critical point price stated is retrodicted out, and it is comprised the following steps that：
1) obtained in 99% confidential interval in the market data of next execution cycle price according to historical quotes data
The largest percentage of lower fluctuation, and higher limit, the lower limit of the market data such as next cycle price, and intermediate value are obtained,
2) bringing higher limit into Index Formula carries out computing, judges whether triggering dealing point；
3) first median is taken between higher limit and intermediate value, computing is carried out, judges whether triggering dealing point；
4) in higher limit and intermediate value and first median, two average values are taken respectively, judge whether triggering dealing point.
5) according to said method continue computing, computing is continued if continuous trigger dealing point, give up without triggering dealing point branch fortune
Calculate.
6) final approach obtains last critical point price；
7) it is same lower limit obtained into method according to higher limit carry out similar op obtain critical point price.
Also include according to the step of cycle disk Real-Time Scheduling computing.
A kind of Index Formula processing unit for cloud computing, including,
Parsing module, for the logic judgment in analytic index formula, assignment and operation rule generating run formula；
Distribution module, computing is carried out for operation formula to be distributed into each computing node.
The computing system of bargain transaction instruction in a kind of disk based on cloud computing, including,
Data acquisition module, the market data of stock future present quotation and historical quotes are included and by history for obtaining
Market data forwarding to cloud computing calculate node；
Computing module, for calculating critical point price according to Index Formula；
Judge module, for will compare whether the real time price in disk in present quotation meets or exceeds critical point price,
Or if it is export transaction proposal direct dealing.
Also include scheduler module, for according to cycle disk Real-Time Scheduling computing.
Compared with prior art, the beneficial effects of the invention are as follows：
The arithmetic speed for buying and selling instruction is substantially improved in disk using cloud computing for the present invention：Because having calculated triggering dealing
Critical point price, in newest transaction cycle, it is only necessary to judge recent quotation be more than or less than critical point price, it is possible to
Go out conclusion, save the time of complete computing Index Formula, it is possible to dealing computing knot is faster made than traditional approach
Really.And the load of trading instruction server in disk is greatly reduced：Because using cloud computing technology, calculating task is calculating son section
Point operation, and calculated during a upper end cycle dealing critical price point, trading instruction server only judged and
Need not be calculated, so the load of commander server is greatly reduced, be reduced the probability for performing time delay and failure.
Brief description of the drawings
Fig. 1 show hardware architecture diagram；
Fig. 2 show Row control structural representation.
Specific embodiment
The present invention is described in further detail below in conjunction with specific embodiment.It should be appreciated that described herein specific
Embodiment is only used to explain the present invention, is not intended to limit the present invention.
As depicted in figs. 1 and 2, the Index Formula processing method for cloud computing of the invention includes,
Step 101, logic judgment, assignment and operation rule generating run formula in analytic index formula；
In the step, described operation rule is including arithmetic, function and Monte Carlo simulation sentence etc., and the index is public
Formula is similar with the Index Formula of unit operation, it is not necessary to be specifically designed, but needs to be processed Index Formula in terms of adapting to cloud
Calculate, specifically, described resolving to will only use the formula row of market data as ground floor, will directly quote ground floor fortune
The formula row of result is calculated as the second layer, and so on until the formula row without the only operation result of reference last layer formula row
Untill afterwards, this just constitutes chain formula all linked with one another, forms one and includes multiple level distribution formula subchains, by a formula
Subchain is placed on a Cloud Server i.e. computing node and is calculated, and different formulas subchain is distributed to different server and is transported
Calculate；For the function or formula row that need to call multiple variables, then distribute to and collect server, wait each formula subchain operation knot
Fruit calculates final result after reaching.
Step 102, operation formula is distributed into each computing node carries out computing.
The distribution rule for running formula includes, by the formula operation of different cycles, decomposes nonidentity operation node and transported
Calculate, day line number evidence, contour data and moon line number evidence have been used simultaneously such as in Index Formula, 3 each server independences can be divided into
Computing.Can also be according to different cultivars, decoupling to multiple servers carries out computing.
Meanwhile, can also according to the time period partition time period to multiple servers carry out computing, due to Index Formula in, typically
Using current quotations or variable, historical quotes and variable reference have a limited range, the closing quotation data before such as quoting 30 days, or
Rolling average is done to 5 day datas.Therefore can be to according in Index Formula, maximum multiplies two using data amount check forward, as minimum
Split cells, and use lamination subregion.The use of data amount check is forward 5 as maximum, has 20 data, subregion is as follows, 1-
10 is one group of variable end value for being calculated 5-10, and 5-15 is one group is calculated the variable end value of 10-15, and 10-20 is
One group of variable end value for being calculated 15-20, using lamination subregion, effectively improves number of calculations, improves the height of result output
Accuracy.
Simultaneously for the Index Formula of long operational time, according to adapting to the principle analytical decomposition of cloud computing to different nodes
Computing is carried out, can also merge different cultivars or same kind, there is the identical analytic value in part to obtain Merging.
The computational methods of bargain transaction instruction in disk based on cloud computing of the invention, including,
Step 201, acquisition includes the market data of stock future present quotation and historical quotes and forwards it to cloud meter
The calculate node of calculation；
The step includes obtaining present quotation and historical quotes from data source, and makees market conversion, and conversion includes that form turns
Change and processed with cycle data, by market data transfer to cloud computing server,
Step 202, critical point price is calculated according to Index Formula；
In the step, first-selected Index Formula needs to carry out dissection process, specifically, including corresponds to different cultivars, no respectively
With the isoparametric multiple Index Formula codes of execution cycle, carry out calculating processing formula in needs and then carry out analytical operation, after parsing
The fractionation of task is carried out again；
The interval interpolation method that uses of described critical point price is retrodicted out, and it is comprised the following steps that：
1) obtained in 99% confidential interval in the market data of next execution cycle price according to historical quotes data
The largest percentage of lower fluctuation, and obtain the upper lower limit value of the market data such as next cycle price, and intermediate value, intermediate value be (on
Limit value+lower limit)/2.
2) bringing higher limit into Index Formula carries out computing, judges whether triggering dealing point；
3) first median, i.e. (upper limit+intermediate value)/2 are taken between higher limit and intermediate value, computing is carried out, judges whether to touch
Hair dealing point；
4) in higher limit and intermediate value and first median, two average values are taken respectively, i.e. ((+the first centre of the upper limit
Value)/2) and ((first median+intermediate value)/2), and computing is carried out, judge whether triggering dealing point.
5) according to said method continue computing, computing is continued if continuous trigger dealing point, give up without triggering dealing point branch fortune
Calculate.
6) final approach obtains the critical point price of last dealing point；I.e. until all of data can not trigger dealing
During point, last data that can trigger described dealing point is designated as critical point price, or last can trigger dealing point
Data or last data that can not trigger dealing point carry out after reservation format analysis processing as critical point price,
7) equally lower limit is obtained into method according to higher limit carries out the critical point price that identical operation is bought and sold.Distinguish
Obtain that price is high or low-cost critical point price, according to purchase rule triggering dealing operation.
Wherein, used according to Index Formula 1 minute, 5 minutes, 30 minutes, 1 hour, 4 hours, day, the different cycles such as week
Real-time operation scheduling engine in disk, for different, the Descend Prediction critical point Price Algorithm task according to the Index Formula cycle of operation
To guarantee to complete to calculate within the reasonable time to carry out the comparison in next cycle.
To coordinate computing progress, computing management module is transferred to queue up executable computer code pending, it is managed
The running status and task distribution condition module of each Cloud Server are set, the self-operating state that each node sends is received, are such as worked as
The occupancies such as preceding CPU, internal memory, Queued tasks number, operation time Index Formula task id long etc..
Distributing each node tasks according to current state simultaneously carries out real-time operation scheduling, is needed in different cycles disk different
Execution cycle is to ensure the real-time offer as the data of result of calculation, real-time operation scheduler module operation week as requested
Phase, and the executable computer code that obtains and running status and task distribution condition of current each node etc., send different
Task to be calculated to prediction triggering dealing instruction critical point price pre-computation calculate node.
Step 203, compares whether real time price meets or exceeds critical point price in disk, if it is export transaction proposal
Or direct dealing.
Compare whether real time price triggers according to each critical point price for precalculating and return to knot in the step, in disk
Really, after for obtaining real time price in disk, it is not necessary to carry out complete calculating, it is only necessary to compare present price and be more than or less than
Each critical point price for precalculating, it is possible to quickly draw operation result, make it is corresponding buy in or sell operation or advise.
The arithmetic speed for buying and selling instruction is substantially improved in disk using cloud computing for the present invention：Because having calculated triggering dealing
Critical point price, in newest transaction cycle, it is only necessary to judge recent quotation be more than or less than critical point price, it is possible to
Go out conclusion, save the time of complete computing Index Formula, it is possible to dealing computing knot is faster made than traditional approach
Really.And the load of trading instruction server in disk is greatly reduced：Because using cloud computing technology, calculating task is calculating son section
Point operation, and calculated during a upper end cycle dealing critical price point, trading instruction server only judged and
Need not be calculated, so the load of commander server is greatly reduced, be reduced the probability for performing time delay and failure.
Meanwhile, the invention discloses a kind of Index Formula processing unit for cloud computing, including,
Parsing module, to the logic judgment in analytic index formula, assignment and operation rule generating run formula；Distribution
Module, computing is carried out for operation formula to be distributed into each computing node.Parsed on demand after Index Formula is stored,
Disposed of in its entirety speed is effectively improved, response is improved.
The computing system of bargain transaction instruction includes in disk based on cloud computing of the invention,
Data acquisition module, the market data of stock future present quotation and historical quotes are included and by its turn for obtaining
It is sent to the calculate node of cloud computing；
Computing module, for calculating critical point price according to Index Formula；
Judge module, for disk will to be compared in real time price whether meet or exceed critical point price, if it is export
Or transaction proposal direct dealing；
And scheduler module, to carry out computing scheduling according to cycle disk；
Also include Index Formula management and resolution server simultaneously, be used to store Index Formula and entered according to dispatch server
The parsing and output of row index formula, while can also carry out the operation such as modification or upgrading of Index Formula.
Specifically, hardware is calculated by market forwarding server, dispatch server, Index Formula management and resolution server
The composition such as node server group and trading instruction server group.Market forwarding server obtains present quotation and history from data source
Market, and make market convert task.Dispatch server is responsible for monitoring the running status of a calculate node, and reference cycle disk is carried out
Distributive operation task.Index Formula is managed and resolution server is responsible for being split to the parsing of Index Formula and according to cloud computing feature
Index Formula.Calculate node server zone is responsible for prediction and calculates the critical point price of triggering dealing instruction and supervised under management module
The state and task of each calculate node are coordinated in control.Whether relatively each kind real time price is touched during trading instruction server group is responsible for disk
Root of hair is according to each critical point price for precalculating and exports trading instruction so that people refers to or is supplied to computer direct dealing.
The present invention is calculated bargain transaction instruction based on cloud computing for quick in stock future Index Formula disk, is
System look-ahead calculates and triggers the critical point price that Index Formula calculates dealing instruction so that in real-time deal market,
Only need to make dealing instruction judgement by comparing present price and critical point price, the method is reached just than existing each price
Time Index Formula of complete computing again is needed, is lifted with great performance and real-time, along with using cloud computing technology,
Enable the bigger lifting of overall calculation speed of system.
The above is only the preferred embodiment of the present invention, it is noted that for the common skill of the art
For art personnel, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications
Also should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of Index Formula processing method for cloud computing, it is characterised in that including,
Logic judgment, assignment and operation rule generating run formula in analytic index formula；
Operation formula is distributed into each computing node carries out computing.
2. the Index Formula processing method of cloud computing is used for as claimed in claim 1, it is characterised in that described operation rule
Including arithmetic, function and Monte Carlo simulation sentence.
3. the Index Formula processing method of cloud computing is used for as claimed in claim 1, it is characterised in that described resolving to will
Only use the formula row of market data as ground floor, will directly quote the formula row of ground floor operation result as the second layer,
And so on stop including multiple levels point being formed after without the formula row for only quoting last layer formula row operation result
The formula subchain of cloth, different formula subchains is distributed into different server carries out computing；Need to call the function of multiple variables
Distribute to and collect server, wait each formula subchain operation result to calculate final result after reaching.
4. the Index Formula processing method of cloud computing is used for as claimed in claim 1, it is characterised in that the distribution of operation formula
Rule includes, by the formula operation of different cycles, decomposing nonidentity operation node carries out computing；And/or, decoupled according to the time period
Time period carries out computing to multiple servers；And/or, carry out computing to multiple servers according to different cultivars partition.
5. the computational methods that bargain transaction is instructed in a kind of disk based on cloud computing, it is characterised in that including,
Acquisition includes the market data of stock future historical quotes and forwards it to the calculate node of cloud computing；
Critical point price is calculated according to Index Formula；
Whether real time price meets or exceeds critical point price in comparing present quotation data in disk, if it is exports transaction and builds
Or view direct dealing.
6. computational methods as claimed in claim 5, it is characterised in that described critical point price is fallen using interval interpolation method
Release, it is comprised the following steps that：
1) the upper and lower ripple of market data of next execution cycle price in 99% confidential interval is obtained according to historical quotes data
Dynamic largest percentage, and higher limit, the lower limit of the market data such as next cycle price, and intermediate value are obtained,
2) bringing higher limit into Index Formula carries out computing, judges whether triggering dealing point；
3) first median is taken between higher limit and intermediate value, computing is carried out, judges whether triggering dealing point；
4) in higher limit and intermediate value and first median, two average values are taken respectively, judge whether triggering dealing point.
5) according to said method continue computing, computing is continued if continuous trigger dealing point, give up without triggering dealing point branch operations.
6) final approach obtains last critical point price；
7) it is same lower limit obtained into method according to higher limit carry out similar op obtain critical point price.
7. computational methods as claimed in claim 5, it is characterised in that also including the step according to cycle disk Real-Time Scheduling computing
Suddenly.
8. a kind of Index Formula processing unit for cloud computing, it is characterised in that including,
Parsing module, for the logic judgment in analytic index formula, assignment and operation rule generating run formula；
Distribution module, computing is carried out for operation formula to be distributed into each computing node.
9. the computing system that bargain transaction is instructed in a kind of disk based on cloud computing, it is characterised in that including,
Data acquisition module, the market data of stock future present quotation and historical quotes are included and by historical quotes for obtaining
Data forwarding to cloud computing calculate node；
Computing module, for calculating critical point price according to Index Formula；
Judge module, for will compare whether the real time price in disk in present quotation meets or exceeds critical point price, if
Or it is then output transaction proposal direct dealing.
10. the computing system that bargain transaction is instructed in the disk based on cloud computing as claimed in claim 9, it is characterised in that also
Including scheduler module, for according to cycle disk Real-Time Scheduling computing.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392774A (en) * | 2017-07-20 | 2017-11-24 | 上海金大师网络科技有限公司 | The implementation method of Self Trimming system based on high in the clouds index |
| CN109191305A (en) * | 2018-07-02 | 2019-01-11 | 众安信息技术服务有限公司 | A kind of fund game index construction method and system for cryptographic assets |
| CN117875290A (en) * | 2024-03-13 | 2024-04-12 | 中国电子科技集团公司第十五研究所 | Combined configurator for cost price ultra-long formula calculation chain |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659166A (en) * | 1993-07-16 | 1997-08-19 | Fujitsu Limited | Card processor with interlocked processing function |
| CN102917009A (en) * | 2012-09-06 | 2013-02-06 | 中南民族大学 | Method and system for collecting and storing stock data based on cloud computing technology |
| CN104408023A (en) * | 2014-11-05 | 2015-03-11 | 中国农业银行股份有限公司 | Index calculation method and index calculator |
| CN105354642A (en) * | 2015-11-20 | 2016-02-24 | 浪潮(北京)电子信息产业有限公司 | Could computation based stock data analysis system |
| CN105404608A (en) * | 2015-10-27 | 2016-03-16 | 中通服公众信息产业股份有限公司 | Formula analysis based complicated index set calculation method and system |
-
2017
- 2017-01-09 CN CN201710013487.0A patent/CN106780035A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659166A (en) * | 1993-07-16 | 1997-08-19 | Fujitsu Limited | Card processor with interlocked processing function |
| CN102917009A (en) * | 2012-09-06 | 2013-02-06 | 中南民族大学 | Method and system for collecting and storing stock data based on cloud computing technology |
| CN104408023A (en) * | 2014-11-05 | 2015-03-11 | 中国农业银行股份有限公司 | Index calculation method and index calculator |
| CN105404608A (en) * | 2015-10-27 | 2016-03-16 | 中通服公众信息产业股份有限公司 | Formula analysis based complicated index set calculation method and system |
| CN105354642A (en) * | 2015-11-20 | 2016-02-24 | 浪潮(北京)电子信息产业有限公司 | Could computation based stock data analysis system |
Non-Patent Citations (2)
| Title |
|---|
| 曾一: "《大学计算机基础》", 30 September 2015 * |
| 赵庶旭等: "《物联网技术》", 30 November 2012 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392774A (en) * | 2017-07-20 | 2017-11-24 | 上海金大师网络科技有限公司 | The implementation method of Self Trimming system based on high in the clouds index |
| CN109191305A (en) * | 2018-07-02 | 2019-01-11 | 众安信息技术服务有限公司 | A kind of fund game index construction method and system for cryptographic assets |
| CN109191305B (en) * | 2018-07-02 | 2021-02-02 | 众安信息技术服务有限公司 | Capital game index construction method and system for encrypted assets |
| CN117875290A (en) * | 2024-03-13 | 2024-04-12 | 中国电子科技集团公司第十五研究所 | Combined configurator for cost price ultra-long formula calculation chain |
| CN117875290B (en) * | 2024-03-13 | 2024-05-24 | 中国电子科技集团公司第十五研究所 | Combined configurator for cost price ultra-long formula calculation chain |
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Application publication date: 20170531 |