CN108876059A

CN108876059A - Transaction data processing method, device, electronic equipment and computer storage medium

Info

Publication number: CN108876059A
Application number: CN201810845037.2A
Authority: CN
Inventors: 胡士兴
Original assignee: Alibaba Group Holding Ltd
Current assignee: Advanced New Technologies Co Ltd; Advantageous New Technologies Co Ltd
Priority date: 2018-07-27
Filing date: 2018-07-27
Publication date: 2018-11-23

Abstract

The embodiment of the invention discloses a kind of transaction data processing method, device, electronic equipment and computer storage medium, the method includes：Obtain the first transaction prediction data of default future time；Obtain the market price variation prediction information of default future time；Default second transactional operation is executed according to the first transaction prediction data and market price variation prediction information.The technical solution can fully consider the risk that the preferential and service side provided by client faces, i.e., evade service side's risk as much as possible while providing convenient for client, and then greatly improve the usage experience of user.

Description

Transaction data processing method, device, electronic equipment and computer storage medium

Technical field

The present embodiments relate to technical field of data processing, and in particular to a kind of transaction data processing method, device, electricity Sub- equipment and computer storage medium.

Background technique

In financial field, all there is certain market risk, such as interest rate risk, exchange rate risk, stock valence in many transaction Lattice risk, commodity price risk etc..By taking foreign exchange trading as an example, the conventional foreign currency operation Management plan that service side provides is：Just Client's foreign currency exchange request is often accepted, adds up foreign exchange opening, by a certain period of time, such as per a moment, per hour, outside foreign currency market Field square position is open, wherein foreign exchange opening refers to that certain currency formed due to not making up in time is bought in excessive or sold Excessive phenomenon, this scheme have the following disadvantages：If existed from client's foreign currency exchange request is accepted to open square position Time difference, and the inside and outside remittance market fluctuation of this time difference is violent, if providing client foreign exchange quotation as preferential as possible at this time, It is possible to there can be fund loss risk when service side square position；If higher foreign exchange quotation is provided to client, although can be big Evade to probability square position bring fund loss risk, but the attraction for client can be reduced, loss client's amount.Another kind side Case is to keep client's redemption request synchronous with square position foreign exchange opening, this scheme the problem is that, client carry out foreign currency exchange when, Market of the same trade or business is not necessarily in service time point, thus can still exist it is open cannot square position in real time risk, if in the same trade Just carry out client's FX in market access service time window, other times do not open, and are not able to satisfy visitor thus Family foreign currency exchange demand, greatly reduces the usage experience of client.Therefore, how while providing convenient for client as far as possible It is a urgent problem to be solved that the risk that service side is faced is evaded on ground.

Summary of the invention

The embodiment of the present invention provides a kind of transaction data processing method, device, electronic equipment and computer-readable storage medium Matter.

In a first aspect, providing a kind of transaction data processing method in the embodiment of the present invention.

Specifically, the transaction data processing method, including：

Obtain the first transaction prediction data of default future time；

Obtain the market price variation prediction information of default future time；

Default second transactional operation is executed according to the first transaction prediction data and market price variation prediction information.

With reference to first aspect, the embodiment of the present invention in the first implementation of first aspect, preset not by described obtain Carry out the first transaction prediction data of time, including：

Obtain the first transaction data prediction element, wherein the first transaction data prediction element includes in following element It is one or more：The first transaction data in historical time section, the default future time timeliness information are preset, presets and goes through The transactional related data of the first transactional related data, default future time in the history period；

Predict that element obtains the first transaction prediction data of default future time according to first transaction data.

With reference to first aspect with the first implementation of first aspect, second in first aspect of the embodiment of the present invention In implementation, the market price variation prediction information for obtaining default future time, including：

Obtain market price change information and predict element, wherein market price change information prediction element include with One of lower element is a variety of：The market price in market price data, default historical time section in default historical time section Lattice delta data and the default future time timeliness information；

Predict that element obtains the market price variation prediction letter of default future time according to the market price change information Breath.

With reference to first aspect, second of implementation of the first implementation of first aspect and first aspect, this hair Bright embodiment is described to be become according to the first transaction prediction data and the market price in the third implementation of first aspect Change predictive information and executes default second transactional operation, including：

When determining the market price variation prediction information to increase, execute corresponding to the first transaction prediction data Second buy in operation；

When determining the market price variation prediction information to reduce, execute corresponding to the first transaction prediction data Second sell operation；

When determining the market price variation prediction information to increase, executed and described the in the default future time One transaction prediction data corresponding second sells operation；

When determining the market price variation prediction information to reduce, executed and described the in the default future time One transaction prediction data corresponding second buys in operation.

With reference to first aspect, the first implementation of first aspect, first aspect second of implementation and first The third implementation of aspect, the embodiment of the present invention are described according to described in the 4th kind of implementation of first aspect One transaction prediction data and market price variation prediction information execute default second transactional operation, including：

Obtain the second transaction predicted time of default future time；

According to the first transaction prediction data and market price variation prediction information in the second transaction predicted time Execute default second transactional operation.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The third implementation in face and the 4th kind of implementation of first aspect, five kind reality of the embodiment of the present invention in first aspect It is described to be predicted according to the first transaction prediction data and market price variation prediction information in second transaction in existing mode Time executes default second transactional operation, including：

When determining the market price variation prediction information to increase, in the second transaction predicted time execution and institute It states the first transaction prediction data corresponding second and buys in operation；

When determining the market price variation prediction information to reduce, in the second transaction predicted time execution and institute It states the first transaction prediction data corresponding second and sells operation；

It is pre- in the second transaction of the default future time when determining the market price variation prediction information to increase It surveys time execution and sells operation with the first transaction prediction data corresponding second；

It is pre- in the second transaction of the default future time when determining the market price variation prediction information to reduce It surveys time execution and buys in operation with the first transaction prediction data corresponding second.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The 5th kind of implementation of the third implementation in face, the 4th kind of implementation of first aspect and first aspect, the present invention Embodiment further includes in the 6th kind of implementation of first aspect：

According to the first transaction value, the first transaction data, the second transaction value and the second transaction data for described first Transaction value is adjusted.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The third implementation in face, the 4th kind of implementation of first aspect, first aspect the 5th kind of implementation and first party The 6th kind of implementation in face, the embodiment of the present invention are described according to the first transaction in the 7th kind of implementation of first aspect Price, the first transaction data, the second transaction value and the second transaction data are adjusted first transaction value, packet It includes：

Determine that the first transaction value, first transaction value are lower than Vehicles Collected from Market transaction value；

Obtain the first transaction data, the second transaction value and the second transaction data；

First is calculated according to first transaction value, the first transaction data, the second transaction value and the second transaction data Transaction value adjusted value；

First transaction value is adjusted according to the first transaction value adjusted value.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The third implementation in face, the 4th kind of implementation of first aspect, first aspect the 5th kind of implementation, first aspect The 6th kind of implementation and first aspect the 7th kind of implementation, the embodiment of the present invention is in the 8th kind of first aspect realization In mode, further include：

The first counterparty that transaction is completed before adjusting for first transaction value carries out price difference compensation.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The third implementation in face, the 4th kind of implementation of first aspect, first aspect the 5th kind of implementation, first aspect The 6th kind of implementation, the 7th kind of implementation of first aspect and the 8th kind of implementation of first aspect, the present invention is real Example is applied in the 9th kind of implementation of first aspect, it is described that preceding complete to trade first is adjusted for first transaction value Counterparty carries out price difference compensation, including：

Obtain the first transaction data occurred before price adjustment；

According to the first trade user tranaction costs difference before and after the first transaction value adjustment calculation price adjustment, In, first trade user is trade user corresponding with the first transaction data occurred before price adjustment；

The tranaction costs difference is retracted into first trade user.

With reference to first aspect, the first implementation, second of implementation of first aspect, first party of first aspect The third implementation in face, the 4th kind of implementation of first aspect, first aspect the 5th kind of implementation, first aspect The 6th kind of implementation, the 7th kind of implementation of first aspect, first aspect the 8th kind of implementation and first aspect The 9th kind of implementation, the embodiment of the present invention further includes in the tenth kind of implementation of first aspect：

The step of repetition is adjusted first transaction value and carries out price difference compensation for the first counterparty, directly Termination condition is preset to meeting.

Second aspect provides a kind of transaction data processing unit in the embodiment of the present invention.

Specifically, the transaction data processing unit, including：

First obtains module, is configured as obtaining the first transaction prediction data of default future time；

Second obtains module, is configured as obtaining the market price variation prediction information of default future time；

Execution module is configured as being executed according to the first transaction prediction data and market price variation prediction information pre- If the second transactional operation.

In conjunction with second aspect, for the embodiment of the present invention in the first implementation of second aspect, described first obtains mould Block includes：

First acquisition submodule is configured as obtaining the first transaction data prediction element, wherein first transaction data Predict that element includes one of following element or a variety of：The first transaction data in default historical time section, it is described it is default not Come time timeliness information, the first transactional related data in default historical time section, the transaction dependency number for presetting future time According to；

Second acquisition submodule is configured as predicting that element obtains default future time according to first transaction data First transaction prediction data.

In conjunction with the first of second aspect and second aspect implementation, second in second aspect of the embodiment of the present invention In implementation, the second acquisition module includes：

Third acquisition submodule is configured as obtaining market price change information prediction element, wherein the market price Change information predicts that element includes one of following element or a variety of：It is market price data in default historical time section, pre- If market price delta data and the default future time timeliness information in historical time section；

4th acquisition submodule, when being configured as predicting that element obtains default following according to the market price change information Between market price variation prediction information.

In conjunction with the first implementation of second aspect, second aspect and second of implementation of second aspect, this hair In the third implementation of second aspect, the execution module includes bright embodiment：

First implementation sub-module, be configured as when determine the market price variation prediction information for increase when, execute with The first transaction prediction data corresponding second buys in operation；

Second implementation sub-module, be configured as when determine the market price variation prediction information for reduce when, execute with The first transaction prediction data corresponding second sells operation；

Third implementation sub-module is configured as when determining the market price variation prediction information to increase, described Default future time, which is executed, sells operation with the first transaction prediction data corresponding second；

4th implementation sub-module is configured as when determining the market price variation prediction information to reduce, described Default future time, which is executed, buys in operation with the first transaction prediction data corresponding second.

In conjunction with the first implementation of second aspect, second aspect, second of implementation and second of second aspect The third implementation of aspect, the embodiment of the present invention is in the 4th kind of implementation of second aspect, the execution module packet It includes：

5th acquisition submodule is configured as obtaining the second transaction predicted time of default future time；

5th implementation sub-module is configured as according to the first transaction prediction data and market price variation prediction information Default second transactional operation is executed in the second transaction predicted time.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The third implementation in face and the 4th kind of implementation of second aspect, five kind reality of the embodiment of the present invention in second aspect In existing mode, the 5th implementation sub-module includes：

6th implementation sub-module is configured as when determining the market price variation prediction information to increase, described Second transaction predicted time, which is executed, buys in operation with the first transaction prediction data corresponding second；

7th implementation sub-module is configured as when determining the market price variation prediction information to reduce, described Second transaction predicted time, which is executed, sells operation with the first transaction prediction data corresponding second；

8th implementation sub-module is configured as when determining the market price variation prediction information to increase, described Second transaction predicted time of default future time, which is executed, sells operation with the first transaction prediction data corresponding second；

9th implementation sub-module is configured as when determining the market price variation prediction information to reduce, described Second transaction predicted time of default future time, which is executed, buys in operation with the first transaction prediction data corresponding second.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The 5th kind of implementation of the third implementation in face, the 4th kind of implementation of second aspect and second aspect, the present invention Embodiment further includes in the 6th kind of implementation of second aspect：

Module is adjusted, is configured as according to the first transaction value, the first transaction data, the second transaction value and the second transaction Data are adjusted first transaction value.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The third implementation in face, the 4th kind of implementation of second aspect, second aspect the 5th kind of implementation and second party The 6th kind of implementation in face, in the 7th kind of implementation of second aspect, the adjustment module includes the embodiment of the present invention：

It determines submodule, is configured to determine that the first transaction value, first transaction value are traded lower than Vehicles Collected from Market Price；

6th acquisition submodule is configured as obtaining the first transaction data, the second transaction value and the second transaction data；

First computational submodule is configured as according to first transaction value, the first transaction data, the second transaction value The first transaction value adjusted value is calculated with the second transaction data；

Adjusting submodule is configured as carrying out first transaction value according to the first transaction value adjusted value Adjustment.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The third implementation in face, the 4th kind of implementation of second aspect, second aspect the 5th kind of implementation, second aspect The 6th kind of implementation and second aspect the 7th kind of implementation, the embodiment of the present invention is in the 8th kind of second aspect realization In mode, further include：

Compensating module, the first counterparty progress for being configured as completing transaction before adjusting first transaction value are poor Price subsidies are repaid.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The third implementation in face, the 4th kind of implementation of second aspect, second aspect the 5th kind of implementation, second aspect The 6th kind of implementation, the 7th kind of implementation of second aspect and the 8th kind of implementation of second aspect, the present invention is real Example is applied in the 9th kind of implementation of second aspect, the compensating module includes：

7th acquisition submodule is configured as obtaining the first transaction data occurred before price adjustment；

Second computational submodule is configured as according to first before and after the first transaction value adjustment calculation price adjustment Trade user tranaction costs difference, wherein first trade user is and the first transaction data pair for occurring before price adjustment The trade user answered；

Submodule is retracted, is configured as the tranaction costs difference retracting first trade user.

The first implementation, second of implementation of second aspect, second party in conjunction with second aspect, second aspect The third implementation in face, the 4th kind of implementation of second aspect, second aspect the 5th kind of implementation, second aspect The 6th kind of implementation, the 7th kind of implementation of second aspect, second aspect the 8th kind of implementation and second aspect The 9th kind of implementation, the embodiment of the present invention is in the tenth kind of implementation of second aspect, the adjustment module and compensation Module is additionally configured to：

The third aspect, the embodiment of the invention provides a kind of electronic equipment, including memory and processor, the memories It is executed in above-mentioned first aspect based on transaction data processing method by storing one or more support transaction data processing unit Calculation machine instruction, the processor is configured to for executing the computer instruction stored in the memory.The transaction data Processing unit can also include communication interface, for transaction data processing unit and other equipment or communication.

Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, at store transaction data Computer instruction used in device is managed, it includes be transaction data for executing transaction data processing method in above-mentioned first aspect Computer instruction involved in processing unit.

Technical solution provided in an embodiment of the present invention can include the following benefits：

Above-mentioned technical proposal is carried out by transaction data customer-oriented for future time and market price change information Which kind of pre- transactional operation prediction, to determine the need for carrying out pre- transactional operation, or need to carry out.The technical solution can fill The risk for dividing the preferential and service side for being thought of as client's offer to be faced, i.e., while providing convenient for client as much as possible Evade service side's risk, and then greatly improves the usage experience of user.

It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not The embodiment of the present invention can be limited.

Detailed description of the invention

In conjunction with attached drawing, pass through the detailed description of following non-limiting embodiment, other feature, the mesh of the embodiment of the present invention And advantage will be apparent.In the accompanying drawings：

Fig. 1 shows the flow chart of transaction data processing method according to an embodiment of the present invention；

Fig. 2 shows the flow charts of the step S101 of the transaction data processing method of embodiment according to Fig. 1；

Fig. 3 shows the flow chart of the step S102 of the transaction data processing method of embodiment according to Fig. 1；

Fig. 4 shows the flow chart of the step S103 of the transaction data processing method of embodiment according to Fig. 1；

Fig. 5 shows the flow chart of the step S103 of the transaction data processing method of another embodiment according to the present invention；

Fig. 6 shows the flow chart of the step S502 of the transaction data processing method of embodiment according to Fig.5,；

Fig. 7 shows the flow chart of the transaction data processing method of another embodiment according to the present invention；

Fig. 8 shows the flow chart of the step S704 of the transaction data processing method of embodiment according to Fig.7,；

Fig. 9 shows the flow chart of the step S804 of the transaction data processing method of embodiment according to Fig.8,；

Figure 10 shows the flow chart of the transaction data processing method of another embodiment according to the present invention；

Figure 11 shows the flow chart of the step S1005 of the transaction data processing method of embodiment according to Fig.10,；

Figure 12 shows the structural block diagram of transaction data processing unit according to an embodiment of the present invention；

Figure 13 shows the knot of the first acquisition module 1201 of the transaction data processing unit according to Figure 12 illustrated embodiment Structure block diagram；

Figure 14 shows the knot of the second acquisition module 1202 of the transaction data processing unit according to Figure 12 illustrated embodiment Structure block diagram；

Figure 15 shows the structural frames of the execution module 1203 of the transaction data processing unit according to Figure 12 illustrated embodiment Figure；

Figure 16 shows the structure of the execution module 1203 of the transaction data processing unit of another embodiment according to the present invention Block diagram；

Figure 17 shows the 5th implementation sub-module 1602 of the transaction data processing unit according to Figure 16 illustrated embodiment Structural block diagram；

Figure 18 shows the structural block diagram of the transaction data processing unit of another embodiment according to the present invention；

Figure 19 shows the structural frames of the adjustment module 1804 of the transaction data processing unit according to Figure 18 illustrated embodiment Figure；

Figure 20 shows the structure of the adjusting submodule 1904 of the transaction data processing unit according to Figure 19 illustrated embodiment Block diagram；

Figure 21 shows the structural block diagram of the transaction data processing unit of another embodiment according to the present invention；

Figure 22 shows the structural frames of the compensating module 2105 of the transaction data processing unit of 1 illustrated embodiment according to fig. 2 Figure；

Figure 23 shows the structural block diagram of electronic equipment according to an embodiment of the present invention；

Figure 24 is adapted for the computer system for realizing transaction data processing method according to an embodiment of the present invention Structural schematic diagram.

Specific embodiment

Hereinafter, the illustrative embodiments of the embodiment of the present invention will be described in detail with reference to the attached drawings, so that art technology Them are easily implemented in personnel.In addition, for the sake of clarity, being omitted in the accompanying drawings unrelated with description illustrative embodiments Part.

In embodiments of the present invention, it should be appreciated that the term of " comprising " or " having " etc. is intended to refer in this specification The presence of disclosed feature, number, step, behavior, component, part or combinations thereof, and be not intended to exclude it is one or more its A possibility that his feature, number, step, behavior, component, part or combinations thereof exist or are added.

It also should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention It can be combined with each other.Embodiment that the present invention will be described in detail below with reference to the accompanying drawings and embodiments.

Technical solution provided in an embodiment of the present invention passes through transaction data customer-oriented for future time and market price Lattice change information is predicted to determine the need for carrying out pre- transactional operation, or which kind of pre- transactional operation needed to carry out, In, the pre- transactional operation refers to the pre- transactional operation first carried out, for example buys in or sell in advance in advance.The technical solution It can fully consider the risk that the preferential and service side provided by client faces, i.e., be use up while providing convenient for client Possibly evade service side's risk, and then greatly improves the usage experience of user.

Fig. 1 shows the flow chart of transaction data processing method according to an embodiment of the present invention, as shown in Figure 1, described Transaction data processing method includes the following steps S101-S103：

In step s101, the first transaction prediction data of default future time is obtained；

In step s 102, the market price variation prediction information of default future time is obtained；

In step s 103, default the is executed according to the first transaction prediction data and market price variation prediction information Two transactional operations.

Mentioned above, in financial field, all there is certain market risk, such as interest rate risk, exchange rate wind in many transaction Danger, stock price risk, commodity price risk etc..By taking foreign exchange trading as an example, the convenience provided for client is provided and evades clothes Between risk the two that business side is faced relationship be exactly one be difficult processing the problem of.

In view of the above problem, in this embodiment, a kind of transaction data processing method is proposed, this method obtains first The prediction data of first transaction data of default future time, i.e., the first transaction prediction data；Then default future time is obtained Market price variation prediction information；Finally executed according to the first transaction prediction data and market price variation prediction information Default second transactional operation.The technical solution can fully consider the wind that the preferential and service side provided by client faces Nearly, i.e., evade service side's risk as much as possible while providing convenient for client, and then greatly improve the use body of user It tests.

Wherein, the default future time refers to a future time relative to current time, such as tomorrow, the day after tomorrow Etc., certainly, if necessary, the future time can be set to a closer time, such as subsequent time, can also To be set as a farther time, such as next week, next month etc., the setting of specific future time can be according to practical application It needs to be determined, the present invention is not especially limited it.

Wherein, first transaction data refers to the transaction data between service side and client, the first transaction prediction number According to being the data predicted for first transaction data, first transaction data is including at least the first transaction Quantity；The service side refers to providing a side of transaction and non-commercially side to client.

Wherein, prediction declinable for first transaction data and market price can be realized by prediction model, The prediction model can comprehensively consider long-term, mid-term, short-term history transaction data and generate, and for a long time such as can be " year " grade Not, mid-term can be such as " moon " rank, in short term can be " day " or " hour " rank.

In order to adapt to the variation in market, the preset model can carry out dynamic adjustment according to marketing data, to tend to return It is perfect.It should be noted that the use of above-mentioned prediction model can according to the needs of practical application with the characteristics of data to be predicted into Row selection, the present invention is not especially limited it, but it is all can for the first transaction data and market price change information into The prediction model that row is effectively predicted is fallen within the protection scope of the present invention.

Wherein, the second transaction refers to transaction between service side and market, the second transactional operation refer to service side with Transactional operation between market.

In an optional implementation of the present embodiment, as shown in Fig. 2, the step S101, that is, obtain default future The step of the first transaction prediction data of time, include the following steps S201-S202：

In step s 201, it obtains the first transaction data and predicts element；

In step S202, predict that element obtains the first transaction of default future time in advance according to first transaction data Measured data.

Wherein, the first transaction data prediction element includes one of following element or a variety of：Default historical time The first transaction data, the default future time timeliness information in section is related to the first transaction in default historical time section Data.

In this embodiment, consider the first transaction data in default historical time section, preset future time timeliness One or more predictive elements in the first transactional related data in information and default historical time section are usually for presetting future The first transaction prediction data of time is predicted, to improve the accuracy of the first transaction prediction data.

Wherein, the default historical time section refers to a historical time section before current time, when the history Between the length of section can be determined according to the needs of practical application；The future time timeliness information refers to and future time It is relevant, be possible to can have an impact to the first transaction, information with timeliness, such as foreign currency exchange, institute Stating future time timeliness information may include：Whether the future time is the daily time, with the presence or absence of great dynamics promotion etc. Shopping information, whether in festivals or holidays, whether between the winter and summer vacations, with the presence or absence of relevant topical news etc.；It is described First transactional related data refers to other related datas for being possible to that the first transaction can be had an impact, such as outer exchange For changing, first transactional related data may include border tourism data, whole world purchase data, overseas purchase data etc..

In an optional implementation of the present embodiment, as shown in figure 3, the step S102, i.e. described obtain are preset The step of market price variation prediction information of future time, include the following steps S301-S302：

In step S301, obtains market price change information and predict element；

In step s 302, predict that element obtains the market price of default future time according to the market price change information Lattice variation prediction information.

Wherein, the market price change information prediction element includes one of following element or a variety of：Default history When market price data in the period, market price delta data and the default future time in default historical time section Effect property information.

In this embodiment, consider the market price data in default historical time section, preset in historical time section One or more predictive elements in market price delta data and the default future time timeliness information are usually for default The market price variation prediction information of future time is predicted, to improve the accuracy of market price variation prediction information.

Wherein, when the market price delta data such as can be market price change rate in preset time period, is default Between market price variation probability etc. in section；The future time timeliness information is similar to above description, and details are not described herein.

In an optional implementation of the present embodiment, as shown in figure 4, the step S103, i.e., described according to The step of first transaction prediction data and market price variation prediction information execute default second transactional operation, includes the following steps S401-S404：

In step S401, when determining the market price variation prediction information to increase, executes and handed over described first Easy prediction data corresponding second buys in operation；

In step S402, when determining the market price variation prediction information to reduce, executes and handed over described first Easy prediction data corresponding second sells operation；

In step S403, when determining the market price variation prediction information to increase, when described default following Between execute with it is described first trade prediction data corresponding second sell operation；

In step s 404, when determining the market price variation prediction information to reduce, when described default following Between execute with it is described first trade prediction data corresponding second buy in operation.

In this embodiment, default second is executed according to the first transaction prediction data and market price variation prediction information Transactional operation can evade risk brought by foreign currency price fluctuation scientifically, to the maximum extent in this way.

Wherein, the second transactional operation corresponding with the first transaction prediction data refers to predict with the first transaction Second transactional operation of the quantity of the identical quantity of data or more.

Exchange is changed to example and present embodiment is illustrated other than below, it is assumed that future time is tomorrow, then when true When determining market price variation prediction information to increase, i.e., foreign currency markets tomorrow price is higher than today, this means that if bright If day buys foreign currency again, it may be desirable to more expenses are identical as the first transaction prediction data therefore, it is necessary to just buy in today Quantity or greater number of foreign currency；When determining market price variation prediction information to reduce, i.e., foreign currency tomorrow price is than modern Day wants low, this means that if tomorrow buys foreign currency again, it may be desirable to less expense, accordingly, it is possible to again to tomorrow Buy in the foreign currency of quantity identical as the first transaction prediction data or more；Similarly, when determining market price variation prediction Information is when increasing, i.e., foreign currency tomorrow price is higher than today, this means that if tomorrow sells foreign currency again, will withdraw Therefore more expenses can be sold again and the first transaction identical quantity of prediction data or greater number of foreign currency to tomorrow；When When determining market price variation prediction information to reduce, i.e., foreign currency tomorrow price is lower than today, this will mean that if tomorrow If selling foreign currency again, less expense will withdraw, therefore, it is necessary to just sell quantity identical as the first transaction prediction data today Or greater number of foreign currency.

In another optional implementation of the present embodiment, as shown in figure 5, the step S103, i.e., described according to institute It states the first transaction prediction data and market price variation prediction information executes the step of presetting the second transactional operation, including following step Rapid S501-S502：

In step S501, the second transaction predicted time of default future time is obtained；

In step S502, according to the first transaction prediction data and market price variation prediction information described second Predicted time of trading executes default second transactional operation.

In order to further increase the accuracy of the second transactional operation, in this embodiment, also for the friendship of the second transaction The easy time is predicted, wherein for the second exchange hour prediction with above for the first transaction data and the market price The prediction of variation is similar, can also be realized by prediction model, and the prediction model can also comprehensively consider long-term, mid-term, short-term Market price delta data and generate, for example the prediction model can count to obtain by the variation for historic market price In default historical time section is 1 year such as nearly, the distribution probability of daily market price low spot, and then predict to obtain daily or future The second transactional operation is carried out on some time point of time to be of relatively low cost.

Further, in an optional implementation of the present embodiment, as shown in fig. 6, the step S502, i.e., described It is executed and is preset in the second transaction predicted time according to the first transaction prediction data and market price variation prediction information The step of second transactional operation, includes the following steps S601-S604：

In step s 601, pre- in second transaction when determining the market price variation prediction information to increase It surveys time execution and buys in operation with the first transaction prediction data corresponding second；

It is pre- in second transaction when determining the market price variation prediction information to reduce in step S602 It surveys time execution and sells operation with the first transaction prediction data corresponding second；

In step S603, when determining the market price variation prediction information to increase, when described default following Between second transaction predicted time execute with it is described first trade prediction data corresponding second sell operation；

In step s 604, when determining the market price variation prediction information to reduce, when described default following Between second transaction predicted time execute with it is described first trade prediction data corresponding second buy in operation.

The embodiment is similar with Fig. 4 illustrated embodiment, only when executing the second transactional operation, joined for handing over The considerations of easy predicted time point, details are not described herein by the present invention.

In an optional implementation of the present embodiment, the method also includes first transaction value is carried out The step of adjustment, i.e., as shown in fig. 7, the described method comprises the following steps S701-S704：

In step s 701, the first transaction prediction data of default future time is obtained；

In step S702, the market price variation prediction information of default future time is obtained；

In step S703, default the is executed according to the first transaction prediction data and market price variation prediction information Two transactional operations；

In step S704, according to the first transaction value, the first transaction data, the second transaction value and the second transaction data First transaction value is adjusted.

Wherein, second transaction data includes at least the second number of transaction.

In an optional implementation of the present embodiment, as shown in figure 8, the step S704, i.e., described according to first Transaction value, the first transaction data, the second transaction value and the second transaction data are adjusted first transaction value The step of, include the following steps S801-S804：

In step S801, determine that the first transaction value, first transaction value are lower than Vehicles Collected from Market transaction value；

In step S802, the first transaction data, the second transaction value and the second transaction data are obtained；

In step S803, according to first transaction value, the first transaction data, the second transaction value and the second transaction Data calculate the first transaction value adjusted value；

In step S804, first transaction value is adjusted according to the first transaction value adjusted value.

In the above-described embodiment, it is first determined customer-oriented first transaction value, wherein in order to attract visitor Family, the first transaction value setting will be lower than Vehicles Collected from Market transaction value；Then obtain it is customer-oriented, have occurred and that First transaction data and the second transaction data that is market-oriented, having occurred and that；Then according to the first transaction value, the first transaction A first transaction value adjusted value is calculated in data and the second transaction data；Finally according to the first transaction value adjusted value pair It is adjusted in the first transaction value.Since service side is the second transaction executed according to prediction data, so the second settlement price Lattice will be generally less than Vehicles Collected from Market transaction value, and in order to lose cost, second transaction value can also be handed over lower than first Easy price.The embodiment is by determining a first more preferential transaction value according to the second transaction value, then root again The first transaction value is adjusted in real time according to the first transaction data is actually occurred, to realize to the full extent for client Preferential purpose is provided.

Wherein, the step S801, can be according to the second transaction value and marketing valence when determining the first transaction value Price difference between lattice determines, for example, the price difference between the second transaction value and price of market exchange is 6 yuan, That is service side's 6 yuan of the market price of price on the day of the previous day is to be lower than performs buy in operation in advance, then the same day is right For the market price, service side is to produce the profit of 6 yuan of unit price, therefore, enough preferential in order to provide to client, can A numerical value is reduced on the basis of price of market exchange to generate the first transaction value, this numerical value is less than or equal to second Price difference between transaction value and price of market exchange, specific value can be set according to the needs of practical application It sets, for example, if wanting to discharge all profits, it is preferential to the greatest extent for client's creation, then Primary Market price can be set 6 yuan lower than the market price are set to, if wanting to retain some price profits, can set lower than the market price for Primary Market price 5 yuan or less.

In an optional implementation of the present embodiment, as shown in figure 9, the step S804, i.e., according to described first The step of transaction value adjusted value is adjusted first transaction value, includes the following steps S901-S905：

In step S901, the price difference between the first transaction value and the second transaction value is calculated；

In step S902, the product value between the price difference and the first number of transaction is calculated；

In step S903, the number differences between the first number of transaction and the second number of transaction are calculated；

In step S904, the quotient between the product value and number differences is calculated；

In step S905, the first transaction value adjusted value is generated according to the quotient.

Such as, it is assumed that the first transaction value of a certain trading object is 10 yuan, and price of market exchange is 12 yuan, the second transaction Price be 9 yuan, the first counterparty generate the first number of transaction be 100, the second number of transaction be 120, then service side due to The second transaction is performed in advance, therefore obtains some profits, is 100* based on the profit that the first number of transaction generates specifically (10-9)=100 yuan, service side's residue quantity available are 120-100=20, then based on the profit generated and can remain Remaining quantity available is adjusted the first transaction value, for example, for remaining quantity available 20, if profit all divided equally Onto these remaining quantity availables, then spccific excess quantity available can be divided equally to obtain 5 yuan, that is to say, that the first transaction value It is minimum to be reduced to 10-5=5 member, it in practical applications, can also be only by a part scoring produced a profit to remaining quantity available On, for example only divide 50 yuan in 100 yuan on remaining quantity available equally, then spccific excess quantity available can be divided equally to obtain 2.5 yuan, i.e. the first transaction value can be reduced to 10-2.5=7.5 member.

In an optional implementation of the present embodiment, the method also includes first transaction value is adjusted As shown in Figure 10 the step of preceding the first counterparty for completing transaction carries out price difference compensation, i.e., the described method comprises the following steps S1001-S1005：

In step S1001, the first transaction prediction data of default future time is obtained；

In step S1002, the market price variation prediction information of default future time is obtained；

In the step s 1003, it is executed according to the first transaction prediction data and market price variation prediction information default Second transactional operation；

In step S1004, according to the first transaction value, the first transaction data, the second transaction value and the second number of deals It is adjusted according to for first transaction value；

In step S1005, the first counterparty that transaction is completed before adjusting for first transaction value carries out price difference Compensation.

Certainly, service side, which also can choose, does not execute price difference compensating operation after the adjustment of the first transaction value, and this point can It is configured according to the needs of practical application.

In an optional implementation of the present embodiment, as shown in figure 11, the step S1005 is that is, described for institute The step of the first counterparty to trade carries out price difference compensation is completed before stating the adjustment of the first transaction value, includes the following steps S1101- S1103：

In step S1101, the first transaction data occurred before price adjustment is obtained；

In step S1102, according to the first trade user before and after the first transaction value adjustment calculation price adjustment Tranaction costs difference, wherein first trade user is transaction corresponding with the first transaction data occurred before price adjustment User；

In step S1103, the tranaction costs difference is retracted into first trade user.

In this embodiment, also right after the downward of the first transaction value in order to farthest safeguard the interests of client The first counterparty that transaction is completed before the first transaction value adjusts carries out price difference compensation.It is mentioned above, due to the second settlement price Lattice are that the second friendship of execution is facile under the guide of prediction data, so usual second transaction value is lower than marketing valence Lattice, therefore, be usually all when being adjusted to the first transaction value adjust downwards, if since compensation rate before is excessive or Other reasons cause the first transaction value to raise, then the first counterparty of transaction is completed before adjusting for the first transaction value Any retrospect processing is not made.

It, can also be based on current the after executing price difference compensating operation in an optional implementation of the present embodiment One transaction value, current first transaction data, the second transaction value and the second transaction data for first transaction value again It is secondary to be adjusted, certainly, after price adjustment again can also for need to carry out the first counterparty of price difference compensation into The compensation of row price difference can so recycle and carry out multiple price adjustment and price difference compensation, until meet default termination condition, In, the default termination condition can be lower than in default profit threshold for time conditions, cycle-index condition, service side's profit It is one or more.

In an optional implementation of the present embodiment, after being adjusted for first transaction value, carry out After price difference compensation, or after the multiple price adjustment of circulation progress and price difference compensation, the method can also include the steps of：

Calculate the difference between first number of transaction and the second number of transaction；

According to the difference between first number of transaction and the second number of transaction, operated after executing default second transaction.

Wherein, operation includes one of following operation or a variety of after default second transaction：Buy in is retracted, is sold Etc..

In this embodiment, in order to reduce the transaction risk of service side to the full extent, to first settlement price After lattice are adjusted, after carrying out price difference compensation, or after the multiple price adjustment of circulation progress and price difference compensation, further include The step of operating after presetting the second transaction is executed, is brought with eliminating the difference between the first number of transaction and the second number of transaction Potential risk.

Exchange is changed to example in addition, if the same day is calculated the foreign exchange quantity that service side buys from market and is greater than client from service The foreign exchange quantity just bought, i.e. service side generate foreign exchange product goods, then the foreign exchange quantity of accumulation can be traded back to market by service side； If the foreign exchange quantity that service side buys from market, which is calculated, is less than the foreign exchange quantity that client buys from service side, i.e. service side produces Raw foreign exchange is out of stock, then the foreign exchange quantity that service side can will lack from market buy in.

Certainly, service side can also decide whether to grasp after carrying out default second transaction according to transaction prediction data Make, i.e., the described difference according between the first number of transaction and the second number of transaction, executes the step operated after default second transaction Suddenly it replaces with：According between first number of transaction and the second number of transaction difference and the market price variation prediction Information operates after executing default second transaction.For example, if same day service side generates foreign exchange product goods, and prediction obtains next friendship Easy day price of foreign exchange can increase, and participate in business again next day of trade then the foreign exchange quantity of accumulation can be left to by service side, if in advance Measuring next day of trade price of foreign exchange can reduce, then the foreign exchange quantity of accumulation just can be traded back to city on the same day by service side ?；For another example, if same day service side generates foreign exchange shortage of goods, and prediction obtains next day of trade price of foreign exchange and can increase, then The foreign exchange quantity that service side can lack on the same day from market buy in, if prediction obtains next day of trade price of foreign exchange and can reduce, that Service side can carry out again foreign exchange buy in next day of trade.

Following is apparatus of the present invention embodiment, can be used for executing embodiment of the present invention method.

Figure 12 shows the structural block diagram of transaction data processing unit according to an embodiment of the present invention, which can lead to Cross being implemented in combination with as some or all of of electronic equipment of software, hardware or both.As shown in figure 12, the number of deals Include according to processing unit：

First obtains module 1201, is configured as obtaining the first transaction prediction data of default future time；

Second obtains module 1202, is configured as obtaining the market price variation prediction information of default future time；

Execution module 1203 is configured as being held according to the first transaction prediction data and market price variation prediction information Default second transactional operation of row.

In view of the above problem, in this embodiment, a kind of transaction data processing unit is proposed, which passes through first Obtain the prediction data that module 1201 obtains the first transaction data of default future time, i.e., the first transaction prediction data；Pass through Second obtains the market price variation prediction information that module 1202 obtains default future time；Execution module 1203 is according to described One transaction prediction data and market price variation prediction information execute default second transactional operation.The technical solution can be examined sufficiently Consider the risk that the preferential and service side provided by client faces, i.e., evades as much as possible while providing convenient for client Service side's risk, and then greatly improve the usage experience of user.

In an optional implementation of the present embodiment, as shown in figure 13, the first acquisition module 1201 includes：

First acquisition submodule 1301 is configured as obtaining the first transaction data prediction element；

Second acquisition submodule 1302, when being configured as predicting that element obtains default following according to first transaction data Between first transaction prediction data.

In an optional implementation of the present embodiment, as shown in figure 14, the second acquisition module 1202 includes：

Third acquisition submodule 1401 is configured as obtaining market price change information prediction element；

4th acquisition submodule 1402 is configured as predicting that element acquisition is default not according to the market price change information Carry out the market price variation prediction information of time.

In an optional implementation of the present embodiment, as shown in figure 15, the execution module 1203 includes：

First implementation sub-module 1501 is configured as holding when determining the market price variation prediction information to increase It is capable to buy in operation with the first transaction prediction data corresponding second；

Second implementation sub-module 1502 is configured as holding when determining the market price variation prediction information to reduce It is capable to sell operation with the first transaction prediction data corresponding second；

Third implementation sub-module 1503 is configured as when determining the market price variation prediction information to increase, The default future time, which is executed, sells operation with the first transaction prediction data corresponding second；

4th implementation sub-module 1504 is configured as when determining the market price variation prediction information to reduce, The default future time, which is executed, buys in operation with the first transaction prediction data corresponding second.

In another optional implementation of the present embodiment, as shown in figure 16, the execution module 1203 includes：

5th acquisition submodule 1601 is configured as obtaining the second transaction predicted time of default future time；

5th implementation sub-module 1602 is configured as according to the first transaction prediction data and market price variation prediction Information executes default second transactional operation in the second transaction predicted time.

Further, in an optional implementation of the present embodiment, as shown in figure 17, the 5th implementation sub-module 1602 include：

6th implementation sub-module 1701 is configured as when determining the market price variation prediction information to increase, The second transaction predicted time, which is executed, buys in operation with the first transaction prediction data corresponding second；

7th implementation sub-module 1702 is configured as when determining the market price variation prediction information to reduce, The second transaction predicted time, which is executed, sells operation with the first transaction prediction data corresponding second；

8th implementation sub-module 1703 is configured as when determining the market price variation prediction information to increase, Second transaction predicted time of the default future time is executed to sell with the first transaction prediction data corresponding second and be gone out for drill Make；

9th implementation sub-module 1704 is configured as when determining the market price variation prediction information to reduce, Second transaction predicted time of the default future time, which is executed, buys in behaviour with the first transaction prediction data corresponding second Make.

The embodiment is similar with Figure 15 illustrated embodiment, and only each implementation sub-module is executing the second transactional operation When, the considerations of joined for transaction predicted time point, details are not described herein by the present invention.

In an optional implementation of the present embodiment, described device further includes that first transaction value is carried out The part of adjustment, i.e., as shown in figure 18, described device includes：

First obtains module 1801, is configured as obtaining the first transaction prediction data of default future time；

Second obtains module 1802, is configured as obtaining the market price variation prediction information of default future time；

Execution module 1803 is configured as being held according to the first transaction prediction data and market price variation prediction information Default second transactional operation of row

Module 1804 is adjusted, is configured as according to the first transaction value, the first transaction data, the second transaction value and second Transaction data is adjusted first transaction value.

In an optional implementation of the present embodiment, as shown in figure 19, the adjustment module 1804 includes：

It determines submodule 1901, is configured to determine that the first transaction value, first transaction value are lower than Vehicles Collected from Market Transaction value；

6th acquisition submodule 1902 is configured as obtaining the first transaction data, the second transaction value and the second number of deals According to；

First computational submodule 1903 is configured as according to first transaction value, the first transaction data, the second transaction Price and the second transaction data calculate the first transaction value adjusted value；

Adjusting submodule 1904 is configured as according to the first transaction value adjusted value for first transaction value It is adjusted.

In the above-described embodiment, determine that submodule 1901 determines customer-oriented first transaction value first, In, in order to attract clients, the first transaction value setting will be lower than Vehicles Collected from Market transaction value；6th acquisition submodule 1902 obtain the first transaction data and the second transaction data that is market-oriented, having occurred and that customer-oriented, have occurred and that； First computational submodule 1903 is calculated one first according to the first transaction value, the first transaction data and the second transaction data Transaction value adjusted value；Adjusting submodule 1904 is adjusted the first transaction value according to the first transaction value adjusted value. Since service side is the second transaction executed according to prediction data, so the second transaction value will be generally less than Vehicles Collected from Market transaction Price, in order to lose cost, second transaction value can also be lower than the first transaction value.The embodiment passes through basis Second transaction value determines a first more preferential transaction value, then comes pair further according to actually occurring the first transaction data It is adjusted in real time in the first transaction value, provides preferential purpose for client to the full extent to realize.

Wherein, the determining submodule 1901, can be according to the second transaction value and market when determining the first transaction value Price difference between transaction value determines, for example, the price difference between the second transaction value and price of market exchange is 6 Member, that is to say, that service side's 6 yuan of the market price of price on the day of the previous day is to be lower than performs in advance buys in operation, then The same day, service side was to produce the profit of 6 yuan of unit price for the market price, therefore, enough in order to provide to client It is preferential, a numerical value can be reduced on the basis of price of market exchange to generate the first transaction value, this numerical value be less than or Equal to the price difference between the second transaction value and price of market exchange, specific value can be come according to the needs of practical application It is configured, for example, if wanting to discharge all profits, it is preferential to the greatest extent for client's creation, then can be by Primary Market Price is set as 6 yuan lower than the market price, if wanting to retain some price profits, can set Primary Market price to compare market Price is 5 yuan or less low.

In an optional implementation of the present embodiment, as shown in figure 20, the adjusting submodule 1904 includes：

Third computational submodule 2001 is configured as calculating the price difference between the first transaction value and the second transaction value Value；

4th computational submodule 2002 is configured as calculating the product between the price difference and the first number of transaction Value；

It is poor to be configured as the quantity calculated between the first number of transaction and the second number of transaction for 5th computational submodule 2003 Value；

6th computational submodule 2004 is configured as calculating the quotient between the product value and number differences；

Submodule 2005 is generated, is configured as generating the first transaction value adjusted value according to the quotient.

In an optional implementation of the present embodiment, described device further includes that first transaction value is adjusted Preceding the first counterparty for completing transaction carries out the part of price difference compensation, i.e., as shown in figure 21, described device includes：

First obtains module 2101, is configured as obtaining the first transaction prediction data of default future time；

Second obtains module 2102, is configured as obtaining the market price variation prediction information of default future time；

Execution module 2103 is configured as being held according to the first transaction prediction data and market price variation prediction information Default second transactional operation of row

Module 2104 is adjusted, is configured as according to the first transaction value, the first transaction data, the second transaction value and second Transaction data is adjusted first transaction value

Compensating module 2105, be configured as first transaction value adjust before complete transaction the first counterparty into The compensation of row price difference.

In an optional implementation of the present embodiment, as shown in figure 22, the compensating module 2105 includes：

7th acquisition submodule 2201 is configured as obtaining the first transaction data occurred before price adjustment；

Second computational submodule 2202 is configured as according to before and after the first transaction value adjustment calculation price adjustment First trade user tranaction costs difference, wherein first trade user is and the first number of deals for occurring before price adjustment According to corresponding trade user；

Submodule 2203 is retracted, is configured as the tranaction costs difference retracting first trade user.

It, can also be based on current the after executing price difference compensating operation in an optional implementation of the present embodiment One transaction value, current first transaction data, the second transaction value and the second transaction data for first transaction value again It is secondary to be adjusted.Certainly, after price adjustment again can also for need to carry out the first counterparty of price difference compensation into The compensation of row price difference can so recycle and carry out multiple price adjustment and price difference compensation, until meet default termination condition, In, the default termination condition can be lower than in default profit threshold for time conditions, cycle-index condition, service side's profit It is one or more.The i.e. described adjustment module and compensating module are also configured to：It repeats to carry out first transaction value The step of adjusting and price difference compensation carried out for the first counterparty, until meeting default termination condition.

In an optional implementation of the present embodiment, described device may also include：

Computing module is configured as calculating the difference between first number of transaction and the second number of transaction；

Operation executing module afterwards is configured as according to the difference between first number of transaction and the second number of transaction, It is operated after executing default second transaction.

In this embodiment, in order to reduce the transaction risk of service side to the full extent, to first settlement price It, can also benefit after carrying out price difference compensation, or after the multiple price adjustment of circulation progress and price difference compensation after lattice are adjusted It is operated after executing default second transaction with rear operation executing module, to eliminate between the first number of transaction and the second number of transaction Potential risk brought by difference.

Certainly, service side can also decide whether to grasp after carrying out default second transaction according to transaction prediction data Make, i.e., the described rear operation executing module is configured as：According to the difference between first number of transaction and the second number of transaction And the market price variation prediction information, it is operated after executing default second transaction.For example, if same day service side generates foreign exchange Product goods, and prediction obtains next day of trade price of foreign exchange and can increase, then the foreign exchange quantity of accumulation can be left to down by service side One day of trade participated in business again, if prediction obtains next day of trade price of foreign exchange and can reduce, then service side can just will on the same day The foreign exchange quantity of accumulation is traded back to market；For another example, if same day service side generates foreign exchange shortage of goods, and prediction obtains next transaction Day price of foreign exchange can increase, then the foreign exchange quantity that service side can lack on the same day from market buy in, if prediction obtains next friendship Easy day price of foreign exchange can reduce, then service side can carry out again foreign exchange buy in next day of trade.

The embodiment of the invention also discloses a kind of electronic equipment, Figure 23 shows electronics according to an embodiment of the present invention and sets Standby structural block diagram, as shown in figure 23, the electronic equipment 2300 include memory 2301 and processor 2302；Wherein,

The memory 2301 is for storing one or more computer instruction, wherein one or more computer Instruction is executed by the processor 2302 to realize any of the above-described method and step.

Figure 24 is suitable for the knot for being used to realize the computer system of the transaction data processing method of embodiment according to the present invention Structure schematic diagram.

As shown in figure 24, computer system 2400 include central processing unit (CPU) 2401, can according to be stored in only It reads the program in memory (ROM) 2402 or is loaded into random access storage device (RAM) 2403 from storage section 2408 Program and execute the various processing in above embodiment.In RAM2403, be also stored with system 2400 operate it is required various Program and data.CPU2401, ROM2402 and RAM2403 are connected with each other by bus 2404.Input/output (I/O) interface 2405 are also connected to bus 2404.

I/O interface 2405 is connected to lower component：Importation 2406 including keyboard, mouse etc.；Including such as cathode The output par, c 2407 of ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section including hard disk etc. 2408；And the communications portion 2409 of the network interface card including LAN card, modem etc..Communications portion 2409 passes through Communication process is executed by the network of such as internet.Driver 2410 is also connected to I/O interface 2405 as needed.It is detachable to be situated between Matter 2411, such as disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 2410, so as to In being mounted into storage section 2408 as needed from the computer program read thereon.

Particularly, embodiment according to the present invention, method as described above may be implemented as computer software programs. For example, embodiments of the present invention include a kind of computer program product comprising be tangibly embodied in and its readable medium on Computer program, the computer program includes program code for executing the transaction data processing method.In this way Embodiment in, which can be downloaded and installed from network by communications portion 2409, and/or from removable Medium 2411 is unloaded to be mounted.

Flow chart and block diagram in attached drawing illustrate system, method and computer according to the various embodiments of the present invention The architecture, function and operation in the cards of program product.In this regard, each box in course diagram or block diagram can be with A part of a module, section or code is represented, a part of the module, section or code includes one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer The combination of order is realized.

Being described in unit or module involved in embodiment of the present invention can be realized by way of software, can also It is realized in a manner of through hardware.Described unit or module also can be set in the processor, these units or module Title do not constitute the restriction to the unit or module itself under certain conditions.

As on the other hand, the embodiment of the invention also provides a kind of computer readable storage mediums, this is computer-readable Storage medium can be computer readable storage medium included in device described in above embodiment；It is also possible to individually In the presence of without the computer readable storage medium in supplying equipment.Computer-readable recording medium storage has one or one Procedure above, described program are used to execute the method for being described in the embodiment of the present invention by one or more than one processor.

Above description is only presently preferred embodiments of the present invention and the explanation to institute's application technology principle.Those skilled in the art Member is it should be appreciated that invention scope involved in the embodiment of the present invention, however it is not limited to which the specific combination of above-mentioned technical characteristic forms Technical solution, while should also cover in the case where not departing from the inventive concept, by above-mentioned technical characteristic or its equivalent spy Levy the other technical solutions for carrying out any combination and being formed.Such as features described above with it is (but unlimited disclosed in the embodiment of the present invention In) technical characteristic with similar functions is replaced mutually and the technical solution that is formed.

Claims

1. a kind of transaction data processing method, which is characterized in that including：

Obtain the first transaction prediction data of default future time；

2. the method according to claim 1, wherein the first transaction prediction number for obtaining default future time According to, including：

Obtain the first transaction data prediction element, wherein the first transaction data prediction element includes one in following element Kind is a variety of：When presetting the first transaction data in historical time section, the default future time timeliness information, presetting history Between the first transactional related data in section, default future time transactional related data；

3. method according to claim 1 or 2, which is characterized in that the market price for obtaining default future time becomes Change predictive information, including：

It obtains market price change information and predicts element, wherein the market price change information prediction element includes following member One of element is a variety of：The market price in market price data, default historical time section in default historical time section becomes Change data and the default future time timeliness information；

Predict that element obtains the market price variation prediction information of default future time according to the market price change information.

4. method according to claim 1 to 3, which is characterized in that it is described according to it is described first transaction prediction data and Market price variation prediction information executes default second transactional operation, including：

When determining the market price variation prediction information to increase, executes and trade prediction data corresponding the with described first Two buy in operation；

When determining the market price variation prediction information to reduce, executes and trade prediction data corresponding the with described first Two sell operation；

When determining the market price variation prediction information to increase, executes in the default future time and handed over described first Easy prediction data corresponding second sells operation；

When determining the market price variation prediction information to reduce, executes in the default future time and handed over described first Easy prediction data corresponding second buys in operation.

5. method according to claim 1 to 3, which is characterized in that it is described according to it is described first transaction prediction data and Market price variation prediction information executes default second transactional operation, including：

Obtain the second transaction predicted time of default future time；

It is executed according to the first transaction prediction data and market price variation prediction information in the second transaction predicted time Default second transactional operation.

6. according to the method described in claim 5, it is characterized in that, described according to the first transaction prediction data and market price Lattice variation prediction information executes default second transactional operation in the second transaction predicted time, including：

When determining the market price variation prediction information to increase, executed and described the in the second transaction predicted time One transaction prediction data corresponding second buys in operation；

When determining the market price variation prediction information to reduce, executed and described the in the second transaction predicted time One transaction prediction data corresponding second sells operation；

When determining the market price variation prediction information to increase, in the second transaction prediction of the default future time Between execute with it is described first trade prediction data corresponding second sell operation；

When determining the market price variation prediction information to reduce, in the second transaction prediction of the default future time Between execute with it is described first trade prediction data corresponding second buy in operation.

7. -6 any method according to claim 1, which is characterized in that further include：

According to the first transaction value, the first transaction data, the second transaction value and the second transaction data for first transaction Price is adjusted.

8. the method according to the description of claim 7 is characterized in that described according to the first transaction value, the first transaction data, Two transaction values and the second transaction data are adjusted first transaction value, including：

The first transaction is calculated according to first transaction value, the first transaction data, the second transaction value and the second transaction data Price adjustment value；

9. method according to claim 7 or 8, which is characterized in that further include：

10. according to the method described in claim 9, it is characterized in that, described adjust preceding complete for first transaction value First counterparty of transaction carries out price difference compensation, including：

Obtain the first transaction data occurred before price adjustment；

According to the first trade user tranaction costs difference before and after the first transaction value adjustment calculation price adjustment, wherein First trade user is trade user corresponding with the first transaction data occurred before price adjustment；

The tranaction costs difference is retracted into first trade user.

11. method according to claim 9 or 10, which is characterized in that further include：

The step of repetition is adjusted first transaction value and carries out price difference compensation for the first counterparty, until full The default termination condition of foot.

12. a kind of transaction data processing unit, which is characterized in that including：

Execution module is configured as executing default the according to the first transaction prediction data and market price variation prediction information Two transactional operations.

13. device according to claim 12, which is characterized in that described first, which obtains module, includes：

First acquisition submodule is configured as obtaining the first transaction data prediction element, wherein the first transaction data prediction Element includes one of following element or a variety of：The first transaction data in default historical time section, it is described default following when Between timeliness information, the first transactional related data in default historical time section, default future time transactional related data；

Second acquisition submodule is configured as predicting that element obtains the first of default future time according to first transaction data Transaction prediction data.

14. device according to claim 12 or 13, which is characterized in that described second, which obtains module, includes：

Third acquisition submodule is configured as obtaining market price change information prediction element, wherein the market price variation Information prediction element includes one of following element or a variety of：The market price data in historical time section is preset, presets and goes through Market price delta data and the default future time timeliness information in the history period；

4th acquisition submodule is configured as predicting that element obtains default future time according to the market price change information Market price variation prediction information.

15. any device of 2-14 according to claim 1, which is characterized in that the execution module includes：

First implementation sub-module, be configured as when determine the market price variation prediction information for increase when, execute with it is described First transaction prediction data corresponding second buys in operation；

Second implementation sub-module, be configured as when determine the market price variation prediction information for reduce when, execute with it is described First transaction prediction data corresponding second sells operation；

16. any device of 2-14 according to claim 1, which is characterized in that the execution module includes：

5th implementation sub-module is configured as according to the first transaction prediction data and market price variation prediction information in institute It states the second transaction predicted time and executes default second transactional operation.

17. device according to claim 16, which is characterized in that the 5th implementation sub-module includes：

8th implementation sub-module is configured as when determining the market price variation prediction information to increase, described default Second transaction predicted time of future time, which is executed, sells operation with the first transaction prediction data corresponding second；

9th implementation sub-module is configured as when determining the market price variation prediction information to reduce, described default Second transaction predicted time of future time, which is executed, buys in operation with the first transaction prediction data corresponding second.

18. any device of 2-17 according to claim 1, which is characterized in that further include：

Module is adjusted, is configured as according to the first transaction value, the first transaction data, the second transaction value and the second transaction data First transaction value is adjusted.

19. device according to claim 18, which is characterized in that the adjustment module includes：

It determines submodule, is configured to determine that the first transaction value, first transaction value are lower than Vehicles Collected from Market transaction value；

First computational submodule is configured as according to first transaction value, the first transaction data, the second transaction value and Two transaction data calculate the first transaction value adjusted value；

Adjusting submodule is configured as adjusting first transaction value according to the first transaction value adjusted value It is whole.

20. device described in 8 or 19 according to claim 1, which is characterized in that further include：

Compensating module, the first counterparty for being configured as completing transaction before adjusting first transaction value carry out price difference benefit It repays.

21. device according to claim 20, which is characterized in that the compensating module includes：

Second computational submodule is configured as trading according to before and after the first transaction value adjustment calculation price adjustment first Customer transaction difference in charge, wherein first trade user is corresponding with the first transaction data occurred before price adjustment Trade user；

22. the device according to claim 20 or 21, which is characterized in that the adjustment module and compensating module are also configured For：

23. a kind of electronic equipment, which is characterized in that including memory and processor；Wherein,

The memory is for storing one or more computer instruction, wherein one or more computer instruction is by institute Processor is stated to execute to realize the described in any item method and steps of claim 1-11.

24. a kind of computer readable storage medium, is stored thereon with computer instruction, which is characterized in that the computer instruction quilt Claim 1-11 described in any item method and steps are realized when processor executes.