CN108564473A - A kind of futures recommendation method based on data analysis - Google Patents
A kind of futures recommendation method based on data analysis Download PDFInfo
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- CN108564473A CN108564473A CN201810374636.0A CN201810374636A CN108564473A CN 108564473 A CN108564473 A CN 108564473A CN 201810374636 A CN201810374636 A CN 201810374636A CN 108564473 A CN108564473 A CN 108564473A
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- 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
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The invention belongs to finance data analysis technical fields, disclose a kind of futures recommendation method based on data analysis, and this method includes：S1 is changed by the historical price and real time price of forward market, converts technology analysis theories to mathematical model；S2, in conjunction with statistics, mathematical algorithm, from historical data and real time price, selects the Great possibility of excess earnings according to the mathematical model；S3 calculates the probability data for obtaining Great possibility, and by passive-type algorithm far from handling the probability data, probability calculation result is shown by terminal.This method evades investor's mood swing caused by market fluctuation to the full extent, avoids making irrational investment decision in the case of fever pitch in the market or pessimism.
Description
Technical field
The invention belongs to finance data analysis technical fields, and in particular to a kind of futures recommendation side based on data analysis
Method.
Background technology
Recently, it due to the development of information industry, is become increasingly active using the e-commerce transaction of data communication network.Outside with futures
It converges and the transactions in assets such as commodity future related with noble metal, natural resources, agricultural product is all based on data and leads to bar none
What the network trading of letter carried out, it can be traded from personal computer in family.
This existing assets running system using network trading manages the number such as total business volume by exchange intermediary dealer
According to, and provided to user terminal in the form of curve or table etc., user refers to provided data, is judged by oneself, so
After carry out dealing operation, therefore the system is only to provide the simple Notes of Key Data means of judgement data.With personal computer and
Data communication is popularized, it is contemplated that futures, investment can easily be carried out at home lacking the amateur of professional knowledge by allowing
Equal transactions in assets, but directly assets running cannot be easily carried out with that simple Notes of Key Data means, amateur in the past.
Invention content
In order to solve the above problem of the existing technology, present invention aims at provide a kind of phase based on data analysis
Goods recommends method.
The technical solution adopted in the present invention is：A kind of futures recommendation method based on data analysis, this method include：
S1 is changed by the historical price and real time price of forward market, converts technology analysis theories to mathematical model；S2, root
According to the mathematical model, in conjunction with statistics, mathematical algorithm, from the historical data and real time price of magnanimity, mass-election can be brought
The Great possibility of excess earnings；S3, calculate obtain Great possibility three item datas, by passive-type algorithm far to this three
Item data is handled, and client is presented to, and is evaded investor's mood swing caused by market fluctuation to the full extent, is kept away
Exempt to make irrational investment decision in the case of fever pitch in the market or pessimism.
Description of the drawings
Fig. 1 is that the futures based on data analysis of one embodiment of the invention recommend method flow schematic diagram.
Fig. 2 is the configuration diagram of one embodiment of the invention.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment does further explaination to the present invention.
Fig. 1 is that the futures based on data analysis of one embodiment of the invention recommend method flow schematic diagram.As shown in Figure 1,
This method includes：
S1 is changed by the historical price and real time price of forward market, converts technology analysis theories to mathematical modulo
Type；
S2, according to the mathematical model, in conjunction with statistics, mathematical algorithm, from the historical data and real time price of magnanimity
In, mass-election can bring the Great possibility of excess earnings；
S3 calculates three item datas for obtaining Great possibility, by passive-type algorithm far to three item data
Reason, is presented to client, evades investor's mood swing caused by market fluctuation to the full extent, avoid pole in the market
Irrational investment decision is made in the case of degree fanaticism or pessimism.
Specifically, in S1 mathematical model be the algorithm model obtained by operation independent and active algorithm with it is passive
The driver that type algorithm combines, according to the price of market different cultivars contract, amount of increase and amount of decrease, historical data Great possibility are done
Deep statistical assigns each kind independent operation method, ensures the independence of algorithm, timely and effective property, to utmostly
On evade the systematic risk that market is brought.
Wherein, main frame of the passive-type theory of algorithm as driver, is obtained by different technologies K-theoretic operation K
Three numerical value gone out assign specific transaction theory, form seamless cycle type thinking logic driving compass, safeguards system program
Preciseness.
Wherein, weight distribution is carried out for the numerical value that operation obtains, is matched according to weight and return to kinds of characters string, corresponds to
Three regions in Congestion Area, buffering area, risk area in compass, allow investor's more rationality treats market sentiment instantly, rationally advises
Wind sheltering danger.
Wherein, the market under the different cycles of market are coped with, model calculation system is calculated with driver using separate type, with
Ensure the wider expansibility of arithmetic system, and be directed to driver, for prevent the factor of artificial mood become easily understand it is therein
Logical thinking, to be encapsulated comprehensively.
Wherein, platform compass system is considered as signal instruction and sends out program, merchandises for triggering, be divided to automatically from manual different two
Approach system, by the connection of transaction system, the direct-connected declaration form system by the way of B2C is evaded to the full extent because the time misses
Difference and miss transaction good opportunity.
Wherein, for automated transaction, the condition list for being different from the Cloud Server storage terminal user in existing market carries out
It forwards, we are used as in such a way that local client and signal system keep long connection and trigger conclusion of the business principle, and trigger condition
That is the setting of setting a series of conditions and modification of condition list, is equally stored in local client, signal system sends out instruction, seeks
Meet the terminal user of setting condition, to generate declaration form after triggering, into market.The setting of the trigger condition, that is, condition list
Including：Kind contract, position in storehouse proportioning, the control of floating price differential.Such mode is taken, forwarding server is can effectively prevent and brings
Delay issue.If local network disconnection or network bad border are poor, communication system can be started at the first time and remind terminal user,
Control trading situation instantly in real time thereby using family.
Wherein, for manual transaction, after there are buying signals in platform compass system, with will appear among compass fast transaction by
Button, such as client transaction system is in login status instantly, and system can be reminded according to signal to be carried out screening kind contract, enter automatically
Site position and position in storehouse proportioning, realize a key open a position, avoid multi items manually select and the adjustment of point, allow transaction more just
It is prompt.
One composition example is shown, wherein the clothes at the transactions in assets agent such as investment consultant dealer are arranged in Fig. 2
Data processing means of the business device (master computer) as assets running suggesting system for wearing, work.
The personal computer (and mobile phone) that user has, i.e. user terminal, from dialing adapter and lan adapter,
It can be with the procuratorial main-machine communication of transactions in assets such as investment consultant dealer through communication networks such as internets.It is also connected in the communication network
Forward market, financial market, commodity market data bank library, to can be taken off necessary information.Though it is not illustrated, may be used also
The data bank library of connecting communication society, newspaper office, periodical publisher may have access to the various data such as market trends and other market operations.
The procuratorial host of the transactions in assets such as investment consultant dealer has database, and storage dealing information (signal) should
Dealing information includes price, the circulation/amount of having, the transaction value/dealing of valuable futures and commodity as trading object assets
The related qualitatively and quantitatively data such as volume, publisher/supplier further include the quantitative and qualitative macro letter in location and transaction area
Breath data and the data that these data are processed and are optimized by regulation calculating formula.The host is in principle with day time
Based on, at least each business day accesses primary various data bank libraries to collect information, and carries out database update automatically.With
It and is updated based on day time, the data that cycle, the moon are secondary, year is secondary, which are also updated, to be managed.On the other hand, for wanting
Rapid newer real time data is sought, gradually to be updated in real time (certainly because technology, system restriction have lag).
The terminal of user's operation oneself, inputs attribute information first.The attribute information is for the inclined of user's assets running
The restriction condition of good property and fund etc. is (such as monthly new including the inflow volume of initial stage active assets volume, regular cash flow
Savings is how many etc.), cash owning rate (cash for usually possessing fund a few percent in full or more), investment diversification degree (such as
The case where being futures, at most invests how many kinds of futures) etc..Once user inputs attribute information, then the information is passed through from user terminal
Means of communication is transmitted to server (master computer), and server (master computer) receives the information, to generate respective attributes letter
The capital project appropriate of breath.That is, starting the investment determining program for being suitble to user by server (master computer).
In the present embodiment, a variety of capital projects are generated, they are respectively provided with respective feature.For example, some investors
Case is characterized in paying attention to the high-quality low-cost performance of futures, if occurring meeting key element condition in the futures of comprehensive notable low price
Futures are just bought.Another capital project is characterized in paying attention to the expansionary of enterprise, if increasing in income expires in fast futures
The futures of sufficient element are just bought.Furthermore another capital project is characterized in, by the popularity degree of objective numerical calculation futures,
It is bought if occurring meeting the futures of key element condition in popular futures.But these features be not it is fixed and absolutely,
Allow user's change parameter in a certain range.Which kind of for example, in respective capital project, pay attention to inexpensive to degree, or attention
To which kind of degree, this allows more or less to change expansionary and popularity degree.
Once generating a variety of capital projects with above-mentioned different characteristics, then server (master computer) is with to each investor
The form of the cartoon role of case setting is prompted to user terminal.For example, some capital projects are the role of gentility, another throwing
Capital's case is inhuman role, and another capital project is the role etc. of career woman's demeanour, is thus distinguish, aobvious in user terminal
Show and is shown on device.At the same time, also running achievement note of each role's (scheme) in for example passing by 10 years is sent to user terminal
Record, helps objectively to judge each Scheme Characteristics.
User selects to be suitable for oneself desired role from the role shown in terminal, is sent out to server (master computer)
Go out instruction.After capital project selection, the dealing information of server (master computer) reference database, according to the investor of selection
Case returns to the running which kind of trading object is suitble to, sells or buys etc. at present to user terminal and suggests data.Also, at this moment if it is necessary,
Also to user terminal prompt as running suggest data according to dealing information and as the dealing information calculating basis data.
In user terminal, selected capital project role suggests that data are acted when saying according to running, recommends to hand over prompt
The running guide of easy object etc..Accordingly, operator operates, and is traded with this dialogic operation.At this moment, server is (main
Computer) it is selected according to user, to access forward market, financial market, commodity market terminal and be actually sent out order
Real pattern (connection network trading) action, or not connect with forward market, financial market, commodity market and only in server
Virtualization Mode (the releasing network trading) action handled in (master computer).In real pattern, sent to user terminal real
The results such as the profit and loss that border transaction generates simultaneously are reported by role.And in Virtualization Mode, then according to the price change of this day and
Transaction value, the mock trading situation in server (master computer), from role to user report.That is, can substantially be suited reality
The imagination transaction on border, carries out the assets running of not realized gains and losses just as playing game.
The present invention is not limited to above-mentioned optional embodiment, anyone can show that other are each under the inspiration of the present invention
The product of kind form.Above-mentioned specific implementation mode should not be understood the limitation of pairs of protection scope of the present invention, protection of the invention
Range should be subject to be defined in claims, and specification can be used for interpreting the claims.
Claims (9)
1. a kind of futures based on data analysis recommend method, which is characterized in that this method includes：
S1 is changed by the historical price and real time price of forward market, converts technology analysis theories to mathematical model；
S2, in conjunction with statistics, mathematical algorithm, from historical data and real time price, selects excess according to the mathematical model
The Great possibility of income；
S3 calculates the probability data for obtaining Great possibility, will by passive-type algorithm far from handling the probability data
Probability calculation result is shown by terminal.
2. the futures according to claim 1 based on data analysis recommend method, which is characterized in that in step sl, number
It is the driver that the algorithm model obtained by operation independent and active algorithm are combined with passive-type algorithm to learn model,
According to the price of market different cultivars contract, amount of increase and amount of decrease, historical data Great possibility do deep statistical, assign each kind
Independent operation method.
3. the futures according to claim 2 based on data analysis recommend method, which is characterized in that the passive-type algorithm
The theoretical main frame as driver, three numerical value obtained by different technologies K-theoretic operation K assign specific transaction
Theory forms seamless cycle type thinking logic driving compass.
4. the futures according to claim 3 based on data analysis recommend method, which is characterized in that obtained for operation
Numerical value carries out weight distribution, is matched according to weight and returns to kinds of characters string, to correspond to the Congestion Area in compass, buffering area, risk
Three, area region.
5. the futures according to claim 4 based on data analysis recommend method, which is characterized in that reply market different weeks
Market under phase, model calculation system are calculated with driver using separate type, the expansibility for ensureing arithmetic system.
6. the futures according to claim 5 based on data analysis recommend method, which is characterized in that platform compass system is considered as letter
Number instruction sends out program, merchandises for triggering, including：Automated transaction or manually two approach systems of transaction, pass through transaction system
Connection, the direct-connected declaration form system by the way of B2C evades to the full extent because of time error and misses transaction good opportunity.
7. the futures according to claim 6 based on data analysis recommend method, which is characterized in that it is directed to automated transaction,
As triggering conclusion of the business principle in such a way that local client and signal system keep long connection, it is stored in local client, is believed
Number system sends out instruction, seeks the terminal user for meeting setting condition, declaration form is generated after triggering, into market.
8. futures according to claim 7 based on data analysis recommend method, which is characterized in that the trigger condition is
The setting of condition list includes：Kind contract, position in storehouse proportioning, the control of floating price differential.
9. the futures according to claim 6 based on data analysis recommend method, which is characterized in that it merchandises for manual,
It after buying signals occurs in platform compass system, and will appear fast transaction button among compass, logged in when client transaction system is in
State, system can be reminded according to signal carries out screening kind contract, admission point and position in storehouse proportioning automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810374636.0A CN108564473A (en) | 2018-04-24 | 2018-04-24 | A kind of futures recommendation method based on data analysis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810374636.0A CN108564473A (en) | 2018-04-24 | 2018-04-24 | A kind of futures recommendation method based on data analysis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110047005A (en) * | 2019-03-28 | 2019-07-23 | 莆田学院 | A kind of Futures information processing method and system |
| CN110941761A (en) * | 2019-11-28 | 2020-03-31 | 中国银行股份有限公司 | Product information recommendation method and device, electronic equipment and storage medium |
| CN111899106A (en) * | 2020-08-06 | 2020-11-06 | 天津大学 | Visual analysis system for futures big data |
| CN111950186A (en) * | 2020-08-20 | 2020-11-17 | 沈阳师范大学 | Physicochemical method of irrational fractional order system |
| CN116342268A (en) * | 2023-01-04 | 2023-06-27 | 上甲数据服务(厦门)有限公司 | Futures data analysis method and system |
-
2018
- 2018-04-24 CN CN201810374636.0A patent/CN108564473A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110047005A (en) * | 2019-03-28 | 2019-07-23 | 莆田学院 | A kind of Futures information processing method and system |
| CN110941761A (en) * | 2019-11-28 | 2020-03-31 | 中国银行股份有限公司 | Product information recommendation method and device, electronic equipment and storage medium |
| CN111899106A (en) * | 2020-08-06 | 2020-11-06 | 天津大学 | Visual analysis system for futures big data |
| CN111950186A (en) * | 2020-08-20 | 2020-11-17 | 沈阳师范大学 | Physicochemical method of irrational fractional order system |
| CN116342268A (en) * | 2023-01-04 | 2023-06-27 | 上甲数据服务(厦门)有限公司 | Futures data analysis method and system |
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Application publication date: 20180921 |