Transaction parameter determination method and device, computer equipment, medium and product

Abstract

The invention relates to the technical field of big data, and discloses a transaction parameter determination method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring transaction data of multiple businesses in a current analysis time period and overall transaction data in the current analysis time period; the second management mechanism is used for analyzing the transaction data of the plurality of businesses in the current analysis time period to obtain transaction parameters of the transaction objects in the current analysis time period and performing each business transaction with the first management mechanism; acquiring risk data of a second management mechanism; and adopting a difference parameter between the transaction parameter of the transaction object in the current analysis time period and the preset transaction parameter, the overall transaction data in the current analysis time period and the risk data of the second management mechanism to adjust the preset transaction parameter to obtain a planned transaction parameter of the transaction object in the next analysis time period. By adopting the method, the accuracy of the determined transaction parameters can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data, and in particular, relates to a transaction parameter determination method and device, computer equipment, computer readable storage medium, and computer program product. BACKGROUND

[0002] With the continuous development of information technology, transaction activities between various institutions are increasingly frequent, and the transaction scale is continuously expanding. For example, different management institutions can transact with each other. However, accurately processing and analyzing transaction data and dynamically adjusting transaction parameters have become important challenges faced by various management institutions in business management.

[0003] In related technologies, the determination of transaction parameters is often determined by experience of management institutions. For example, a business management system of a management institution obtains historical transaction data, and determines subsequent transaction parameters according to historical transaction data trends or a preset experience model. This determination of subsequent transaction parameters from historical transaction data has the problem of inaccurate determined transaction parameters. SUMMARY

[0004] Therefore, the present application provides a transaction parameter determination method and device, computer equipment, computer readable storage medium, and computer program product, which can improve the accuracy of determined transaction parameters.

[0005] In a first aspect, the present application provides a transaction parameter determination method, which is applied to a business management system of a first management institution. The method comprises the following steps:

[0006] obtaining, from a transaction management system of the first management institution, a plurality of pieces of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions;

[0007] analyzing the plurality of pieces of business transaction data in the current analysis period to obtain transaction parameters of a transaction object in the current analysis period and second management institutions that transact with the first management institution;

[0008] obtaining, from a business management system of a sub-management institution of the first management institution, risk data of the second management institution;

[0009] adjusting a preset transaction parameter by using a difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institution, to obtain a planned transaction parameter of the transaction object in a next analysis period.

[0010] In one of the embodiments, before obtaining the plurality of business transaction data in the current analysis period from the transaction management system of the first management institution, the method further comprises:

[0011] obtaining a transaction parameter of a specified period starting from the end time of the last analysis period and lasting for a first preset time length;

[0012] in the case that the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is less than or equal to the target transaction parameter threshold, determining the specified period as the current analysis period;

[0013] in the case that the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is greater than the target transaction parameter threshold, determining a second preset time length according to the transaction parameter of the specified period and the preset transaction parameter; the second preset time length is greater than the first preset time length;

[0014] determining a period starting from the end time of the last analysis period and lasting for the second preset time length as the current analysis period.

[0015] In one of the embodiments, the transaction parameter of the specified period comprises a transaction volume and a transaction resource value of the specified period, and the preset transaction parameter comprises a preset transaction volume and a preset resource value; determining the second preset time length according to the transaction parameter of the specified period and the preset transaction parameter comprises:

[0016] determining a transaction volume ratio as a ratio between the transaction volume of the specified period and the preset transaction volume, and determining a transaction resource value ratio as a ratio between the transaction resource value of the specified period and the preset resource value;

[0017] performing a weighted processing on the transaction volume ratio and the transaction resource value ratio to obtain a comprehensive ratio;

[0018] determining the second preset time length according to the comprehensive ratio.

[0019] In one of the embodiments, obtaining the risk data of the second management institution from the business management system of the sub-management institution of the first management institution comprises:

[0020] obtaining a mapping relationship between each other management institution in a set of other management institutions except the first management institution and a sub-management institution of the first management institution for maintaining the other management institution;

[0021] determining a target sub-management institution associated with the second management institution according to the mapping relationship;

[0022] sending a risk request of the second management institution to the target sub-management institution;

[0023] determining the risk data of the second management institution according to the received risk information of the second management institution sent by the target sub-management institution.

[0024] In one of the embodiments, the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period and the risk data of the second management institution, to obtain the planned transaction parameter of the transaction object in the next analysis period, including:

[0025] According to the overall transaction data in the current analysis period and the transaction parameter of the transaction object, the transaction risk data in the current analysis period is determined;

[0026] According to the risk data of the second management institution and the transaction risk data in the current analysis period, the comprehensive risk data in the current analysis period is determined;

[0027] The preset transaction volume in the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter and the comprehensive risk data in the current analysis period, to obtain the planned transaction volume of the transaction object in the next analysis period;

[0028] According to the planned transaction volume of the transaction object in the next analysis period, the planned transaction parameter of the transaction object in the next analysis period is determined.

[0029] In one of the embodiments, according to the overall transaction data in the current analysis period and the transaction parameter of the transaction object, the transaction risk data in the current analysis period is determined, including:

[0030] From the overall transaction data in the current analysis period, the following contents corresponding to the transaction object in the current analysis period are obtained: resource value fluctuation rate, first resource value average and first transaction volume;

[0031] The average value of the transaction resource value in the transaction parameter of the transaction object in the current analysis period is determined as the second resource value average, and the resource value risk data is determined according to the ratio between the second resource value average and the first resource value average;

[0032] The average value of the transaction volume in the transaction parameter of the transaction object in the current analysis period is determined as the second transaction volume, and the transaction volume risk data is determined according to the ratio between the second transaction volume and the first transaction volume;

[0033] According to the resource value fluctuation rate, the resource value risk data and the transaction volume risk data, the transaction risk data in the current analysis period is determined.

[0034] In one of the embodiments, the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institution, to obtain the planned transaction parameter of the transaction object in the next analysis period, including:

[0035] From the overall transaction data in the current analysis period, the following contents corresponding to the transaction object in the current analysis period are obtained: resource value fluctuation rate and first resource value average value;

[0036] The average value of the transaction resource value in the transaction parameter of the transaction object in the current analysis period is determined as the second resource value average value, and the difference between the second resource value average value and the first resource value average value is determined as the resource difference value;

[0037] The preset transaction resource value in the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the resource value fluctuation rate in the current analysis period, and the resource difference value, to obtain the planned transaction resource value of the transaction object in the next analysis period;

[0038] According to the planned transaction resource value of the transaction object in the next analysis period, the planned transaction parameter of the transaction object in the next analysis period is determined.

[0039] In a second aspect, the application further provides a transaction parameter determination device, which comprises:

[0040] A transaction data acquisition module is configured to acquire a plurality of business transaction data in a current analysis period from a transaction management system of a first management institution, and acquire overall transaction data in the current analysis period from a cloud server; the overall transaction data is generated by transaction data of all institutions participating in business transactions;

[0041] An analysis module is configured to analyze the plurality of business transaction data in the current analysis period, to obtain a transaction parameter of a transaction object in the current analysis period and a second management institution performing each business transaction with the first management institution;

[0042] A risk data acquisition module is configured to acquire risk data of the second management institution from a business management system of a sub-management institution of the first management institution;

[0043] A transaction parameter determination module is configured to adjust the preset transaction parameter by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institution, to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0044] In one of the embodiments, the apparatus further comprises an analysis period determination module, which comprises:

[0045] a transaction parameter acquisition unit, configured to acquire a transaction parameter of a specified period starting from the end time of the last analysis period and lasting for a first preset time length;

[0046] an analysis period determination unit, configured to determine the specified period as a current analysis period in a case where a difference parameter between the preset transaction parameter and the transaction parameter of the specified period is less than or equal to a target transaction parameter threshold;

[0047] a preset time length determination unit, configured to determine a second preset time length according to the transaction parameter of the specified period and the preset transaction parameter in a case where the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is greater than the target transaction parameter threshold; the second preset time length is greater than the first preset time length;

[0048] The analysis period determination unit is further configured to determine a period starting from the end time of the last analysis period and lasting for the second preset time length as the current analysis period.

[0049] In one of the embodiments, the preset time length determination unit is specifically configured to:

[0050] determine a transaction volume ratio as a ratio between a transaction volume of the specified period and a preset transaction volume, and determine a transaction resource value ratio as a ratio between a transaction resource value of the specified period and a preset resource value;

[0051] perform weighted processing on the transaction volume ratio and the transaction resource value ratio to obtain a comprehensive ratio;

[0052] determine the second preset time length according to the comprehensive ratio.

[0053] In one of the embodiments, the risk data acquisition module comprises:

[0054] a mapping relationship acquisition unit, configured to acquire a mapping relationship between each other management institution in a set of other management institutions other than the first management institution and a sub-management institution under the first management institution for maintaining the other management institution;

[0055] a management institution determination unit, configured to determine a target sub-management institution associated with the second management institution according to the mapping relationship;

[0056] a sending unit, configured to send a risk request of the second management institution to the target sub-management institution;

[0057] a risk data determination unit, configured to determine risk data of the second management institution according to risk information of the second management institution sent by the target sub-management institution.

[0058] In one of the embodiments, the transaction parameter determination module comprises:

[0059] a transaction risk data determination unit configured to determine transaction risk data in the current analysis period according to the overall transaction data in the current analysis period and the transaction parameters of the transaction object;

[0060] a comprehensive risk data determination unit configured to determine comprehensive risk data in the current analysis period according to the risk data of the second management institution in the current analysis period and the transaction risk data;

[0061] a planned transaction volume determination unit configured to adjust a preset transaction volume in the preset transaction parameters by using a difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters and the comprehensive risk data in the current analysis period, to obtain a planned transaction volume of the transaction object in the next analysis period;

[0062] a planned transaction parameter determination unit configured to determine planned transaction parameters of the transaction object in the next analysis period according to the planned transaction volume of the transaction object in the next analysis period.

[0063] In one of the embodiments, the transaction risk data determination unit is specifically configured to:

[0064] obtain, from the overall transaction data in the current analysis period, the following contents corresponding to the transaction object in the current analysis period: a resource value fluctuation rate, a first resource value average, and a first transaction volume;

[0065] determine an average of the transaction resource value in the transaction parameters of the transaction object in the current analysis period as a second resource value average, and determine resource value risk data according to a ratio between the second resource value average and the first resource value average;

[0066] determine an average of the transaction volume in the transaction parameters of the transaction object in the current analysis period as a second transaction volume, and determine transaction volume risk data according to a ratio between the second transaction volume and the first transaction volume;

[0067] determine the transaction risk data in the current analysis period according to the resource value fluctuation rate, the resource value risk data, and the transaction volume risk data.

[0068] In one of the embodiments, the transaction parameter determination module comprises:

[0069] a data acquisition unit configured to obtain, from the overall transaction data in the current analysis period, the following contents corresponding to the transaction object in the current analysis period: a resource value fluctuation rate and a first resource value average;

[0070] a resource difference value determination unit configured to determine an average value of the transaction resource value in the transaction parameter of the transaction object in the current analysis period as a second resource value average value, and determine a difference value between the second resource value average value and the first resource value average value as a resource difference value;

[0071] a planned transaction resource value determination unit configured to adjust a preset transaction resource value in the preset transaction parameter by using a difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, a resource value fluctuation rate in the current analysis period, and the resource difference value, to obtain a planned transaction resource value of the transaction object in a next analysis period;

[0072] a planned transaction parameter determination unit configured to determine a planned transaction parameter of the transaction object in the next analysis period according to the planned transaction resource value of the transaction object in the next analysis period.

[0073] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0074] obtaining, from a transaction management system of the first management institution, a plurality of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions;

[0075] analyzing the plurality of business transaction data in the current analysis period to obtain a transaction parameter of a transaction object in the current analysis period and a second management institution that performs each business transaction with the first management institution;

[0076] obtaining, from a business management system of a sub-management institution subordinate to the first management institution, risk data of the second management institution;

[0077] adjusting the preset transaction parameter by using a difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institution, to obtain a planned transaction parameter of the transaction object in a next analysis period.

[0078] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0079] obtaining, from a transaction management system of the first management institution, a plurality of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions;

[0080] analyzing the plurality of business transaction data in the current analysis period to obtain transaction parameters of the transaction object in the current analysis period and the second management institution that conducts each business transaction with the first management institution;

[0081] obtaining risk data of the second management institution from a business management system of a sub-management institution subordinate to the first management institution;

[0082] adjusting the preset transaction parameters by using the difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, the overall transaction data in the current analysis period and the risk data of the second management institution to obtain the planned transaction parameters of the transaction object in the next analysis period.

[0083] In a fifth aspect, the present application further provides a computer program product comprising a computer program which, when executed by a processor, implements the following steps:

[0084] obtaining the plurality of business transaction data in the current analysis period from a transaction management system of the first management institution and obtaining the overall transaction data in the current analysis period from a cloud server; the overall transaction data is generated by transaction data of all institutions participating in the business transaction;

[0085] analyzing the plurality of business transaction data in the current analysis period to obtain transaction parameters of the transaction object in the current analysis period and the second management institution that conducts each business transaction with the first management institution;

[0086] obtaining risk data of the second management institution from a business management system of a sub-management institution subordinate to the first management institution;

[0087] adjusting the preset transaction parameters by using the difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, the overall transaction data in the current analysis period and the risk data of the second management institution to obtain the planned transaction parameters of the transaction object in the next analysis period.

[0088] The method and device for determining transaction parameters, the computer device, the computer readable storage medium and the computer program product can consider not only the difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, but also the overall transaction data in the current analysis period and the risk data of the second management mechanism when determining the planned transaction parameters of the transaction object in the next analysis period, thereby avoiding the decision deviation caused by the one-sided or isolated local data, avoiding the risk data of the second management mechanism of the business transaction being too high, and further avoiding the potential adverse effects on the subsequent transaction plan, so that the adaptability of the determined planned transaction parameters of the transaction object in the next analysis period to the overall transaction data and the adaptability to the risk data of the second management mechanism are improved, and the accuracy of the determined planned transaction parameters of the transaction object in the next analysis period is improved. BRIEF DESCRIPTION OF DRAWINGS

[0089] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0090] Figure 1 A schematic diagram of a management architecture provided for an embodiment;

[0091] Figure 2 A flowchart of a method for determining transaction parameters provided for an embodiment;

[0092] Figure 3 A flowchart of a method for determining a current analysis period provided for an embodiment;

[0093] Figure 4 A flowchart of a method for obtaining risk data of a second management mechanism provided for an embodiment;

[0094] Figure 5 A flowchart of a method for determining planned transaction parameters of a transaction object in a next analysis period provided for an embodiment;

[0095] Figure 6 A flowchart of a method for determining planned transaction parameters of a transaction object in a next analysis period provided for another embodiment;

[0096] Figure 7 A business processing flowchart of a business management system of a first management mechanism provided for an embodiment;

[0097] Figure 8A schematic diagram of management authority information, transaction information, and transaction management information provided for an embodiment;

[0098] Figure 9 A structural schematic diagram of a transaction parameter determination apparatus provided for an embodiment;

[0099] Figure 10 A structural schematic diagram of a computer device provided for an embodiment. DETAILED DESCRIPTION

[0100] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. It should be noted that in the embodiments of the present application, some software, components, models and other industry existing solutions may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but does not mean that the applicant has or will necessarily use the solution.

[0101] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations. The acquisition, storage, use, processing and other data in the technical solutions of the present application comply with the relevant regulations of national laws and regulations.

[0102] It should be noted that in the embodiments of the present application, some software, components, models and other industry existing solutions may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but does not mean that the applicant has or will necessarily use the solution

[0103] The terms "first", "second", and the like as used herein can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "include" and "have" and any variations thereof as used herein are intended to cover non-exclusive inclusion. The term "multiple" as used herein refers to two or more. The term "and / or" as used herein refers to one of the solutions or any combination of multiple solutions.

[0104] The sequence of the steps in the embodiments of the present application is not limited unless otherwise specified. It should be noted that any step in the embodiments of the present application can be independently executed, that is, when any step in the above embodiments is executed, it can not depend on the execution of other steps.

[0105] Figure 1 A schematic diagram of the management architecture provided by an embodiment is shown in Figure 1 As shown, the management architecture can include a plurality of management institutions, each of which has a plurality of sub-management institutions, the business management system of each management institution can communicate with the transaction management system in the management institution, the business management system of each management institution can communicate with the business management system of each sub-management institution, and the business management system of each management institution can also communicate with the cloud server to obtain overall transaction data from the cloud server.

[0106] Among them, the management institution can be an institution for managing transactions. Business transactions can be conducted between any two management institutions. Different business transactions correspond to different transaction items.

[0107] The business management system provided in the embodiments of the present application can be deployed in a computer device. Illustratively, the computer device can include one or a combination of at least two of the following: a personal computer, a notebook computer, a smartphone, a tablet computer, a drone, a low-altitude aircraft, an Internet of Things device, and a portable wearable device. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle device, a projection device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc.

[0108] Figure 2 A flowchart of a method for determining transaction parameters provided by an embodiment is shown in Figure 2 As shown, the method is applied to a business management system of a first management institution, and the method includes the following steps:

[0109] S201, obtaining, from a transaction management system of the first management institution, a plurality of pieces of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period.

[0110] Among them, the overall transaction data is generated through the transaction data of all institutions participating in the business transaction.

[0111] Among them, the first management institution can be any one of the management institutions in Figure 1

[0112] ​Exemplarily, the business management system of the first management institution can be disposed in the same computer device as the transaction management system of the first management institution, or disposed in different computer devices.

[0113] For example, the current analysis period can be a preset fixed-length period. For example, the current analysis period can be greater than or equal to 6 hours and less than or equal to one month. For example, the current analysis period can be every 6 hours in a day, every 12 hours in a day, one day, two days, five days, one week, or one month, and the like, without limitation to the embodiments of the present application. For another example, the current analysis period can be flexibly determined according to the transaction parameters in a specified time length.

[0114] The transaction object in the embodiments of the present application can be any item capable of transaction. The business transaction data in the embodiments of the present application can be data generated when the transaction object is transacted.

[0115] Exemplarily, each piece of business transaction data can include at least one of the following: transaction identification, management institution transacted with the first management institution, transaction object, transaction volume, transaction resource value, and the like.

[0116] In some embodiments, the business management system of the first management institution can send a transaction data request in a current analysis period to the cloud server, and the cloud server sends the overall transaction data in the current analysis period to the business management system of the first management institution. In other embodiments, the cloud server can broadcast the overall transaction data in a set time length every set time length, so that the business management system of the first management institution determines the overall transaction data in the current analysis period according to the overall transaction data in at least one set time length obtained. Wherein, the time length corresponding to the current analysis period can be an integer multiple of the set time length. Wherein, the starting time of the current analysis period is time-aligned with the starting time of a set time length.

[0117] Exemplarily, the overall transaction data can include: transaction object, transaction volume, transaction resource value characteristic value, and the like. Wherein, the transaction resource value characteristic value can include transaction resource value maximum value, transaction resource value minimum value, transaction resource value median, transaction resource value mode, transaction resource value average value, transaction resource value total, transaction resource value standard deviation, or transaction resource value variance, and the like.

[0118] Wherein, the transaction object in the business transaction data from the transaction management system of the first management institution can be the same as the transaction object in the overall transaction data in the current analysis period, or the transaction object in the overall transaction data in the current analysis period can include the transaction object in the business transaction data from the transaction management system of the first management institution.

[0119] S202, analyze the multi-pen transaction data in the current analysis period to obtain the transaction parameters of the transaction objects in the current analysis period and the second management institutions that conduct each pen transaction with the first management institution.

[0120] The transaction parameters in the embodiments of the present application can include transaction volume and / or transaction resource value. For example, 10 transactions are generated in the current analysis period, 5 transactions are transactions of transaction object 1, 3 transactions are transactions of transaction object 2, and 2 transactions are transactions of transaction object 3. The transaction parameters of the transaction objects in the current analysis period can include the transaction parameters of transaction object 1 (including transaction volume and transaction resource value), the transaction parameters of transaction object 2, and the transaction parameters of transaction object 3. The transaction volume in the transaction parameters of each transaction object can include the maximum transaction volume value, the minimum transaction volume value, the median transaction volume value, the mode transaction volume value, the average transaction volume value, the standard deviation of the transaction volume value, or the variance of the transaction volume value, etc. The transaction resource value in the transaction parameters of each transaction object can include the maximum transaction resource value, the minimum transaction resource value, the median transaction resource value, the mode transaction resource value, the average transaction resource value, the total transaction resource value, the standard deviation of the transaction resource value, or the variance of the transaction resource value, etc.

[0121] Each transaction can correspond to a second management institution, for example, the first management institution conducts a transaction with the second management institution 1, and the second management institution of the transaction is the second management institution 1. The first management institution conducts another transaction with the second management institution 2, and the second management institution of the other transaction is the second management institution 2.

[0122] S203, obtain the risk data of the second management institution from the business management system of the sub-management institution subordinate to the first management institution.

[0123] In the embodiments of the present application, the first management institution conducts transactions, so that the transaction management system of the first management institution can store transaction information. The sub-management institutions of the second management institution often conduct business negotiations with the sub-management institutions subordinate to the first management institution, etc. Therefore, the sub-management institutions subordinate to the first management institution determine the risk data of the second management institution according to the information of the second management institution provided by the sub-management institutions of the second management institution during the negotiation, or the sub-management institutions subordinate to the first management institution determine the risk data of the second management institution according to the information obtained by themselves. The first management institution can maintain and update the risk data of the second management institution according to the actual situation of the second management institution.

[0124] In some embodiments, one second management institution can conduct business negotiations with multiple sub-management institutions subordinate to the first management institution, so that the multiple sub-management institutions subordinate to the first management institution can determine the risk data of the one second management institution.

[0125] Exemplarily, for each second management institution, the risk data of the second management institution can be obtained from the business management system of the sub-management institution subordinate to the first management institution corresponding to the second management institution.

[0126] In some embodiments, for a certain second management institution, in the case that the second management institution corresponds to a plurality of sub-management institutions of the first management institution, the risk data of the second management institution can be obtained from each sub-management institution respectively, and the maximum value, the minimum value or the average value of the risk data of the second management institution is determined as the risk data of the second management institution.

[0127] S204, using the difference parameter (which can be referred to as the first difference parameter) between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period and the risk data of the second management institution, adjusting the preset transaction parameter to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0128] The preset transaction parameter can be a preset transaction parameter. For example, the preset transaction parameter can be the transaction parameter planned by the first management institution.

[0129] The transaction parameter in the embodiments of the present application can include a transaction parameter of resource value inflow and / or a transaction parameter of resource value outflow.

[0130] For example, for the transaction parameter of resource value inflow (such as buying), in the case that the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter is positive, it indicates that the buying is too much, and then a little less buying is needed in the next analysis period, so that the difference between the preset transaction parameter (the preset buying parameter) and the first difference parameter can be adjusted using the overall transaction data in the current analysis period and the risk data of the second management institution to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0131] For example, for the transaction parameter of resource value inflow (such as buying), in the case that the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter is negative, it indicates that the buying is too little, and then a little more buying is needed in the next analysis period, so that the result of the sum of the preset transaction parameter and the first difference parameter can be adjusted using the overall transaction data in the current analysis period and the risk data of the second management institution to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0132] For example, for the transaction parameter of the resource value outflow (for example, selling), in the case that the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter is positive, it indicates that too much is sold, and then a little less needs to be sold in the next analysis period, so the overall transaction data in the current analysis period and the risk data of the second management mechanism are used to adjust the difference between the preset transaction parameter (the preset selling parameter) and the first difference parameter, to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0133] For example, for the transaction parameter of the resource value outflow (for example, selling), in the case that the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter is negative, it indicates that too little is sold, and then a little more needs to be sold in the next analysis period, so the overall transaction data in the current analysis period and the risk data of the second management mechanism are used to adjust the result of the sum of the preset transaction parameter (the preset selling parameter) and the first difference parameter, to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0134] In some embodiments, the overall risk data in the current analysis period can be determined according to the overall transaction data in the current analysis period; the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the overall risk data in the current analysis period and the risk data of the second management mechanism, to obtain the planned transaction parameter of the transaction object in the next analysis period.

[0135] In the technical scheme provided by the embodiments of the present application, when determining the planned transaction parameter of the transaction object in the next analysis period, not only the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter is considered, but also the overall transaction data in the current analysis period and the risk data of the second management mechanism are considered, so that not only the decision deviation caused by the one-sided or isolated local data is avoided, but also the risk data of the second management mechanism of the business transaction is not too high, which further causes the potential adverse effects on the subsequent transaction plan, so that the adaptability of the determined planned transaction parameter of the transaction object in the next analysis period to the overall transaction data and the adaptability to the risk data of the second management mechanism are improved, and the accuracy of the determined planned transaction parameter of the transaction object in the next analysis period is improved.

[0136] Figure 3 The flowchart of the determination method of the current analysis period provided by one embodiment is shown in Figure 3 The method is applied to the business management system of the first management mechanism, and the method comprises the following steps:

[0137] S301, obtaining the transaction parameter of a specified period starting from the end time of the last analysis period and lasting for a first preset time length.

[0138] Exemplarily, the transaction parameter of the specified period can include a sum of transaction resource values of the specified period and a sum of transaction volumes.

[0139] In some embodiments, the first preset time length can be a fixed time length. For example, the first preset time length can be 6 hours to one week, etc. For example, the first preset time length can be 6 hours, 12 hours, one day, or one week, etc. In other embodiments, the first preset time length can be determined according to the transaction activity. The higher the transaction activity, the shorter the first preset time length. The lower the transaction activity, the longer the first preset time length.

[0140] S302, in a case where the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is less than or equal to the target transaction parameter threshold, determining the specified period as the current analysis period.

[0141] In a case where the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is less than or equal to the target transaction parameter threshold, it can be analyzed that the transaction in the specified period is more, and the specified period can be determined as the current analysis period.

[0142] Exemplarily, the difference parameter between the preset transaction parameter and the transaction parameter of the specified period being less than or equal to the target transaction parameter threshold can include: a difference resource value between the preset transaction resource value and the transaction resource value of the specified period being less than or equal to a target transaction resource value threshold, and a difference volume between the preset transaction volume and the transaction volume of the specified period being less than or equal to a target transaction volume threshold.

[0143] S303, in a case where the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is greater than the target transaction parameter threshold, determining a second preset time length according to the transaction parameter of the specified period and the preset transaction parameter.

[0144] The second preset time length is greater than the first preset time length.

[0145] Exemplarily, the difference parameter between the preset transaction parameter and the transaction parameter of the specified period being greater than the target transaction parameter threshold can include: a difference resource value between the preset transaction resource value and the transaction resource value of the specified period being greater than a target transaction resource value threshold, and / or, a difference volume between the preset transaction volume and the transaction volume of the specified period being greater than a target transaction volume threshold.

[0146] In some embodiments, the second preset time length can be determined according to the difference parameter between the preset transaction parameter and the transaction parameter of the specified period. In other embodiments, the second preset time length can be determined according to a ratio of the transaction parameter of the specified period to the preset transaction parameter.

[0147] In some embodiments, the second preset time length can be N times of the first preset time length. N is an integer greater than or equal to 2.

[0148] In S304, a time period starting from the end time point of the last analysis time period and having a second preset time length is determined as a current analysis time period.

[0149] In the technical scheme provided by the embodiments of the present application, by acquiring the transaction parameters in the specified time period after the first preset time length from the end time point of the last analysis time period, and comparing the transaction parameters in the specified time period with the preset transaction parameters, the deviation degree of the business state from the expectation can be accurately evaluated, and when the difference parameter is less than or equal to the target transaction parameter threshold, the specified time period can be directly determined as the current analysis time period, ensuring the timeliness and continuity of the analysis; when the difference parameter is greater than the target transaction parameter threshold, it indicates that the transaction in the specified time period is less, and a longer second preset time length is adjusted according to the transaction parameters in the specified time period and the preset transaction parameters, and the current analysis time period is determined based on the second preset time length, so that the current analysis time period contains more comprehensive transaction data, avoiding the problem that the planned transaction parameters of the transaction object in the next analysis time period determined are inaccurate due to the too short time period, and improving the accuracy of the planned transaction parameters of the transaction object in the next analysis time period determined.

[0150] In some embodiments, the transaction parameters in the specified time period include a transaction volume and a transaction resource value in the specified time period, and the preset transaction parameters include a preset transaction volume and a preset resource value; the second preset time length is determined according to the transaction parameters in the specified time period and the preset transaction parameters, including: determining a ratio between the transaction volume in the specified time period and the preset transaction volume as a transaction volume ratio, and determining a ratio between the transaction resource value in the specified time period and the preset resource value as a transaction resource value ratio; performing weighted processing on the transaction volume ratio and the transaction resource value ratio to obtain a comprehensive ratio; and determining the second preset time length according to the comprehensive ratio.

[0151] For example, a difference value between the transaction volume ratio and the transaction resource value ratio can be determined as a ratio difference value, if the absolute value of the ratio difference value is less than or equal to a preset difference value, it indicates that the difference between the transaction volume ratio and the transaction resource value ratio is small, and then the weight corresponding to the transaction volume ratio and the weight corresponding to the transaction resource value ratio can both be determined as 0.5; if the absolute value of the ratio difference value is greater than the preset difference value, it indicates that the difference between the transaction volume ratio and the transaction resource value ratio is large, if the transaction volume ratio is greater than the transaction resource value ratio, the transaction volume ratio is determined as the weight corresponding to the transaction volume ratio, and the result of 1 minus the transaction volume ratio is determined as the weight corresponding to the transaction resource value ratio, if the transaction resource value ratio is greater than the transaction volume ratio, the transaction resource value ratio is determined as the weight corresponding to the transaction resource value ratio, and the result of 1 minus the transaction resource value ratio is determined as the weight corresponding to the transaction volume ratio.

[0152] In some embodiments, a mapping relationship between the ratio and the preset time length can be acquired, and the second preset time length can be determined according to the mapping relationship and the comprehensive ratio. In the case that the comprehensive ratio is larger, the second preset time length is lower, for example, twice the first preset time length, and in the case that the comprehensive ratio is smaller, the second preset time length is higher.

[0153] In the technical scheme provided by the embodiments of the present application, the actual change of the two key factors of transaction volume and transaction resource value is comprehensively considered, the influence weight of different factors on the analysis period adjustment is flexibly reflected through weighted processing, so that the finally determined second preset time length is more in line with the complex needs of the actual transaction scene. Compared with the method of relying on only a single index, this comprehensive evaluation method significantly improves the accuracy and adaptability of the period division, ensures that the system can reasonably extend the analysis period when the transaction volume or resource value changes to different degrees, thereby effectively avoiding the analysis deviation caused by insufficient data, and improves the effectiveness of the determined second preset time length. In addition, by determining the second preset time length, the business management system of the first management institution does not need to monitor the transaction volume and transaction resource value at all times, which saves the processing load of the business management system of the first management institution.

[0154] Figure 4 The flowchart of the method for acquiring risk data of a second management institution provided by an embodiment is shown in FIG. 1, and the method is applied to a business management system of a first management institution. The method comprises the following steps: Figure 4

[0155] S401, acquiring a mapping relationship between each other management institution in a set of other management institutions outside the first management institution and a sub-management institution under the first management institution for maintaining the other management institution.

[0156] In some embodiments, in the case that the business management system of each sub-management institution under the first management institution acquires risk data of an other management institution, the identification of the other management institution can be sent to the business management system of the first management institution, so that the business management system of the first management institution obtains the mapping relationship between each other management institution in the set of other management institutions outside the first management institution and the sub-management institution under the first management institution for maintaining the other management institution.

[0157] S402, determining a target sub-management institution associated with a second management institution according to the mapping relationship.

[0158] The target sub-management institution associated with a second management institution can include one sub-management institution or multiple sub-management institutions.

[0159] S403, sending a risk request of the second management institution to the target sub-management institution.​

[0160] In the case where the target sub-administration office includes a plurality of sub-administration offices, the risk request of the second administration office can be sent to each sub-administration office.

[0161] S404, according to the risk information of the second administration office sent by the target sub-administration office, determine the risk data of the second administration office.

[0162] In some embodiments, in the case where the target sub-administration office includes one sub-administration office, the risk information of the second administration office sent by the one sub-administration office is determined as the risk data of the second administration office. In other embodiments, in the case where the target sub-administration office includes a plurality of sub-administration offices, the weighted result, average value or maximum value of the risk information of the second administration office sent by the plurality of sub-administration offices is determined as the risk data of the second administration office.

[0163] In the technical scheme provided by the embodiments of the present application, by accurately routing the data request to the distributed node (i.e. the target sub-administration office) actually maintaining the data, the distributed storage and on-demand acquisition of the data are realized, thereby significantly reducing the data storage pressure and maintenance burden of the center system of the first administration office. Not only the hardware cost and high-concurrency processing risk caused by excessive data volume of the center system are reduced, but also the complexity and fault hidden danger caused by maintaining a single large database are avoided, and the reliability of acquiring the risk data of the second administration office is improved.

[0164] Figure 5 The flowchart of the method for determining the planned transaction parameter of the transaction object in the next analysis period provided by one embodiment is shown in FIG. 5, which is applied to the business management system of the first administration office. The method is an explanation of S204, and the method includes the following steps: Figure 5

[0165] S501, according to the overall transaction data in the current analysis period and the transaction parameter of the transaction object, determine the transaction risk data in the current analysis period.

[0166] In some embodiments, the transaction risk data in the current analysis period can be determined according to the difference between the transaction parameter (such as the total transaction resource value and / or the total transaction amount) of the transaction object in the current analysis period and the transaction parameter (such as the total transaction resource value and / or the total transaction amount) of the transaction object in the overall transaction data in the current analysis period.

[0167] ​In some embodiments, a target ratio of the transaction parameters (including the transaction volume and the transaction resource value) of the first management institution to the total transaction parameters of all management institutions can be obtained, the theoretical transaction parameters can be determined from the transaction parameters of the transaction object in the overall transaction data in the current analysis period according to the target ratio (including the target transaction volume ratio and the target resource value ratio), and the transaction risk data in the current analysis period can be determined according to the difference between the transaction parameters of the transaction object in the current analysis period and the theoretical transaction parameters.

[0168] S502, determining the comprehensive risk data in the current analysis period according to the risk data and the transaction risk data of the second management institution in the current analysis period.

[0169] In some embodiments, the product of the risk data and the transaction risk data of the second management institution in the current analysis period can be determined as the comprehensive risk data in the current analysis period.

[0170] In other embodiments, a first weight corresponding to the risk data of the second management institution in the current analysis period can be obtained, and a second weight corresponding to the transaction risk data can be obtained, and the risk data and the transaction risk data of the second management institution in the current analysis period are weighted and summed using the first weight and the second weight to obtain the comprehensive risk data in the current analysis period. Exemplarily, the first weight and the second weight can be fixed values.

[0171] The risk data in the embodiments of the present application can be a real number greater than 0 and less than or equal to 1.

[0172] S503, adjusting the preset transaction volume in the preset transaction parameters using the difference parameter (which can be referred to as the first difference parameter) between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters and the comprehensive risk data in the current analysis period to obtain the planned transaction volume of the transaction object in the next analysis period.

[0173] In some embodiments, S503 can include: determining a guide transaction volume according to the preset transaction volume in the preset transaction parameters and the transaction volume in the first difference parameter; processing the guide transaction volume using the comprehensive risk data in the current analysis period to obtain the planned transaction volume of the transaction object in the next analysis period.

[0174] Exemplarily, determining the guide transaction volume according to the preset transaction volume in the preset transaction parameters and the transaction volume in the first difference parameter can include at least one of the following:

[0175] For example, for the transaction parameters of the resource value inflow (such as buying), in the case that the first difference parameter is a positive value, it means that the buying is too much, and in the next analysis period, a little less buying is needed, and the difference between the preset transaction parameters (preset buying parameters) and the first difference parameter is determined as the guide transaction volume.

[0176] For example, for the transaction parameter of resource value inflow (such as buying), in the case that the first difference parameter is negative, it indicates that buying is less, then the next analysis period needs to buy a little more, and the preset transaction parameter (the result of the sum of the preset buying parameter and the first difference parameter is determined as the guiding transaction amount.

[0177] For example, for the transaction parameter of resource value outflow (such as selling), in the case that the first difference parameter is positive, it indicates that selling is more, then the next analysis period needs to sell a little less, and the difference between the preset transaction parameter (the preset selling parameter) and the first difference parameter is determined as the guiding transaction amount.

[0178] For example, for the transaction parameter of resource value outflow (such as selling), in the case that the first difference parameter is negative, it indicates that selling is less, then the next analysis period needs to sell a little more, and the result of the sum of the preset transaction parameter (the preset selling parameter) and the first difference parameter is determined as the guiding transaction amount.

[0179] Exemplarily, the processing of the guiding transaction amount by using the comprehensive risk data in the current analysis period to obtain the planned transaction amount of the transaction object in the next analysis period can include: for the transaction parameter of resource value inflow (such as buying), a first mapping relationship between a plurality of first risk data and a plurality of first transaction proportions can be obtained, under the first mapping relationship, the higher the risk, the lower the transaction proportion; according to the first mapping relationship, a first transaction proportion corresponding to the comprehensive risk data in the current analysis period is determined; the product of the ratio of the guiding transaction amount to the first transaction proportion is determined as a first specified transaction amount, and the difference between the guiding transaction amount and the first specified transaction amount is determined as the planned transaction amount of the transaction object in the next analysis period.

[0180] Exemplarily, the processing of the guiding transaction amount by using the comprehensive risk data in the current analysis period to obtain the planned transaction amount of the transaction object in the next analysis period can include: for the transaction parameter of resource value outflow (such as selling), a second mapping relationship between a plurality of second risk data and a plurality of second transaction proportions can be obtained, under the second mapping relationship, the higher the risk, the higher the transaction proportion; according to the second mapping relationship, a second transaction proportion corresponding to the comprehensive risk data in the current analysis period is determined; the product of the ratio of the guiding transaction amount to the second transaction proportion is determined as a second specified transaction amount, and the sum of the guiding transaction amount and the second specified transaction amount is determined as the planned transaction amount of the transaction object in the next analysis period.

[0181] S504、According to the planned transaction amount of the transaction object in the next analysis period, the planned transaction parameter of the transaction object in the next analysis period is determined.

[0182] In some embodiments, S504 can include determining the planned transaction parameter of the transaction object in the next analysis period according to the planned transaction amount of the transaction object in the next analysis period.

[0183] In some other embodiments, S504 can include obtaining a planned transaction resource value of the transaction object in the next analysis period; and determining the planned transaction parameter of the transaction object in the next analysis period according to the planned transaction amount and the planned transaction resource value of the transaction object in the next analysis period. Wherein, the planned transaction resource value of the transaction object in the next analysis period can be determined according to the description below, which is not repeated here.

[0184] In the technical scheme provided by the embodiments of the present application, the transaction risk data in the current analysis period is determined according to the overall transaction data and the transaction parameter of the transaction object in the current analysis period, thereby improving the accuracy of the determined transaction risk data in the current analysis period; the comprehensive risk data in the current analysis period is determined according to the risk data of the second management institution and the transaction risk data in the current analysis period, thereby improving the comprehensiveness of the determined comprehensive risk data; the preset transaction amount in the preset transaction parameter is adjusted by using the difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter and the comprehensive risk data in the current analysis period, to obtain the planned transaction amount of the transaction object in the next analysis period, thereby avoiding the risk blind area that may be caused by the overall data, preventing the low transaction efficiency caused by the overly conservative risk control, improving the accuracy of the determined planned transaction amount of the transaction object in the next analysis period, and further improving the accuracy of the determined planned transaction parameter of the transaction object in the next analysis period.

[0185] In some embodiments, the transaction risk data in the current analysis period is determined according to the overall transaction data and the transaction parameter of the transaction object in the current analysis period, including: obtaining the following contents corresponding to the transaction object in the current analysis period from the overall transaction data in the current analysis period: resource value fluctuation rate, first resource value average, and first transaction amount; determining the average of the transaction resource value in the transaction parameter of the transaction object in the current analysis period as a second resource value average, and determining resource value risk data according to the ratio between the second resource value average and the first resource value average; determining the average of the transaction amount in the transaction parameter of the transaction object in the current analysis period as a second transaction amount, and determining transaction amount risk data according to the ratio between the second transaction amount and the first transaction amount; and determining the transaction risk data in the current analysis period according to the resource value fluctuation rate, the resource value risk data, and the transaction amount risk data.

[0186] For example, for a transaction parameter of resource value inflow (e.g. buy-in), if the ratio between the second resource value average and the first resource value average is less than 1, the resource value risk data is 0 or a lower value; if the ratio between the second resource value average and the first resource value average is greater than 1, the resource value risk value is determined according to the difference between the ratio and 1. For example, in the case of a larger difference, the resource value risk data is higher, and in the case of a smaller difference, the resource value risk data is lower.

[0187] For example, for a transaction parameter of resource value outflow (e.g. sell-out), if the ratio between the second resource value average and the first resource value average is greater than 1, the resource value risk data is 0 or a lower value; if the ratio between the second resource value average and the first resource value average is less than 1, the resource value risk value is determined according to the difference between 1 and the ratio. For example, in the case of a larger difference, the resource value risk data is higher, and in the case of a smaller difference, the resource value risk data is lower.

[0188] For example, for a transaction parameter of resource value inflow (e.g. buy-in), if the ratio between the second transaction volume and the first transaction volume is less than a set value, the resource value risk data is 0 or a lower value; if the ratio between the second transaction volume and the first transaction volume is greater than the set value, the resource value risk value is determined according to the difference between the ratio and the set value. For example, in the case of a larger difference, the resource value risk data is higher, and in the case of a smaller difference, the resource value risk data is lower. The set value can be the ratio between the planned transaction volume of the first management institution within a preset time period and the transaction volume of all institutions within the preset time period. The preset time period can be the last day, the last week, or the last month, etc.

[0189] For example, for a transaction parameter of resource value outflow (e.g. sell-out), if the ratio between the second transaction volume and the first transaction volume is greater than a set value, the resource value risk data is 0 or a lower value; if the ratio between the second transaction volume and the first transaction volume is less than the set value, the resource value risk value is determined according to the difference between the set value and the ratio. For example, in the case of a larger difference, the resource value risk data is higher, and in the case of a smaller difference, the resource value risk data is lower.

[0190] In some embodiments, the product of the resource value volatility, the resource value risk data, and the transaction volume risk data can be determined as the transaction risk data within the current analysis period.

[0191] In other embodiments, the resource value volatility, the resource value risk data, and the transaction volume risk data can be weighted and summed or weighted and averaged to obtain the transaction risk data within the current analysis period.

[0192] In the technical scheme provided by the embodiment of the application, the resource value fluctuation rate, the first resource value average and the first transaction volume of the transaction object are extracted from the overall transaction data of the current analysis period, and the benchmark data are compared with the second resource value average and the second transaction volume calculated according to the actual transaction parameters in the current period to generate resource value risk data and transaction volume risk data respectively, and finally the transaction risk data are determined by comprehensively combining the resource value fluctuation rate and the two types of risk data, thereby establishing a multi-level and multi-angle transaction risk quantitative evaluation system, which not only considers the fluctuation characteristics of the resource value itself, but also compares the difference between the actual transaction and the overall benchmark, and can more comprehensively and accurately reflect the real risk status in the transaction process by combining the overall data with the actual performance of the specific transaction object, avoids the deviation caused by a single index, significantly improves the reliability of risk identification, and further improves the accuracy of the determined transaction risk data in the current analysis period.

[0193] Figure 6 The flowchart of the method for determining the planned transaction parameters of the transaction object in the next analysis period provided by another embodiment is shown in FIG. 6, and the method is applied to the business management system of the first management institution. Figure 6 The method includes the following steps:

[0194] S601, obtaining the resource value fluctuation rate and the first resource value average corresponding to the transaction object in the current analysis period from the overall transaction data in the current analysis period.

[0195] For example, the overall transaction data in the current analysis period can be analyzed to obtain the resource value fluctuation rate and the first resource value average corresponding to the transaction object in the current analysis period.

[0196] S602, determining the average of the transaction resource value in the transaction parameters of the transaction object in the current analysis period as the second resource value average, and determining the difference between the second resource value average and the first resource value average as the resource difference value.

[0197] S603, adjusting the preset transaction resource value in the preset transaction parameters by using the difference parameter (which can be referred to as the first difference parameter) between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, the resource value fluctuation rate in the current analysis period and the resource difference value, to obtain the planned transaction resource value of the transaction object in the next analysis period.

[0198] In some embodiments, S603 can include: determining a guide transaction resource value according to a preset transaction resource value in the preset transaction parameter and a transaction resource value in the first difference parameter; and adjusting the guide transaction resource value according to a resource value fluctuation rate in the current analysis period and the resource difference value, to obtain a planned transaction resource value of the transaction object in the next analysis period.

[0199] For example, determining the guide transaction resource value according to the preset transaction resource value in the preset transaction parameter and the transaction resource value in the first difference parameter can include: determining a sum of the preset transaction resource value in the preset transaction parameter and the transaction resource value in the first difference parameter as the guide transaction resource value.

[0200] For example, adjusting the guide transaction resource value according to the resource value fluctuation rate in the current analysis period and the resource difference value, to obtain the planned transaction resource value of the transaction object in the next analysis period can include: determining a first resource adjustment value according to the transaction volume risk data and the resource difference value; determining a second resource adjustment value according to the resource value fluctuation rate in the current analysis period and the first resource adjustment value, and adjusting the guide transaction resource value by using the second resource adjustment value to obtain the planned transaction resource value of the transaction object in the next analysis period.

[0201] Exemplarily, in the sell scenario, the higher the transaction volume risk data, the lower the ratio between the first resource adjustment value and the resource difference value, and the lower the transaction volume risk data, the higher the ratio between the first resource adjustment value and the resource difference value. In the buy scenario, the higher the transaction volume risk data, the higher the ratio between the first resource adjustment value and the resource difference value, and the lower the transaction volume risk data, the lower the ratio between the first resource adjustment value and the resource difference value.

[0202] S601 to S603 describe a method for determining the planned transaction resource value of the transaction object in the next analysis period, which can be combined with the scheme of S504, and details are not repeated here.

[0203] S604, determining the planned transaction parameter of the transaction object in the next analysis period according to the planned transaction resource value of the transaction object in the next analysis period.

[0204] In some embodiments, S604 can include: determining the planned transaction resource value of the transaction object in the next analysis period as the planned transaction parameter of the transaction object in the next analysis period.

[0205] In some other embodiments, S604 can include: obtaining a planned transaction volume of the transaction object in the next analysis period, and determining the planned transaction parameter of the transaction object in the next analysis period according to the planned transaction volume and the planned transaction resource value of the transaction object in the next analysis period.

[0206] In the technical solution provided in this application, by introducing a resource value volatility index, the volatility characteristics of the overall price can be accurately reflected, making the adjusted planned trading resource value more consistent with the overall actual risk situation. By calculating the difference between the average value of the second resource value and the average value of the first resource value as the resource difference value, the deviation of a specific trading instrument from the overall level can be captured, thereby allowing for targeted adjustment of the planned trading resource value. By combining the difference parameters between the actual trading parameters and the preset trading resource value, the process of adjusting the planned trading resource value is ensured to consider both historical preset targets and real-time overall performance. In this way, through a multi-factor collaborative adjustment mechanism, the final determined planned trading resource value maintains consistency with the overall trend while fully considering the individual differences of specific trading instruments, significantly improving the accuracy of the planned trading resource value for the trading instrument in the next analysis period.

[0207] In some embodiments, the business management system of the first management agency may also initiate a business confirmation process to the business management system of the subordinate sub-management agency, so that the business management system of the sub-management agency can confirm the process.

[0208] Figure 7 A schematic diagram of the business processing flow of the business management system of the first management agency provided in one embodiment, such as... Figure 7 As shown, the business management system of the first management institution obtains business transaction data and retrieves risk data of the second management institution from the business management systems of its subordinate sub-management institutions to confirm the risk data. The business management system of the first management institution can also send event confirmation information to the business management systems of its subordinate sub-management institutions (for example, sending event confirmation information to sub-management institutions 1, 2, and 3 respectively). After receiving confirmation from the business management systems of the sub-management institutions, the system determines the change in the event status.

[0209] Figure 8 This is a schematic diagram illustrating management organization information, transaction information, and transaction management information provided in one embodiment. Before a transaction is initiated, the management organization information of the second management organization that will be transacting with the first management organization needs to be obtained. This management organization information includes the identifier of the second management organization and the corresponding sub-management organizations under the first management organization. During the transaction process, transaction information is generated, including a transaction identifier and the identifier of the second management organization. After the transaction is completed, transaction management information is generated, including a transaction management identifier, a transaction identifier, multiple sub-management organizations related to the transaction, and their participation ratios.

[0210] Based on the same inventive concept, this application also provides a device for determining transaction parameters to implement the method for determining transaction parameters described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the device for determining transaction parameters provided below can be found in the limitations of the method for determining transaction parameters described above, and will not be repeated here.

[0211] In one exemplary embodiment, Figure 9 A schematic diagram of the structure of a device for determining transaction parameters provided in one embodiment, as shown below. Figure 9 As shown, the device 900 for determining the transaction parameters includes:

[0212] The transaction data acquisition module 901 is used to acquire multiple business transaction data within the current analysis period from the transaction management system of the first management institution, and to acquire the overall transaction data within the current analysis period from the cloud server; the overall transaction data is generated by the transaction data of all institutions participating in the business transactions;

[0213] Analysis module 902 is used to analyze multiple business transaction data within the current analysis period to obtain the transaction parameters of the traded items within the current analysis period and the second management institution that conducts each business transaction with the first management institution;

[0214] The risk data acquisition module 903 is used to acquire risk data of the second management agency from the business management system of the sub-management agencies under the first management agency;

[0215] The transaction parameter determination module 904 is used to adjust the preset transaction parameters by using the difference parameters between the transaction parameters of the traded goods in the current analysis period and the preset transaction parameters, the overall transaction data in the current analysis period, and the risk data of the second management institution, so as to obtain the planned transaction parameters of the traded goods in the next analysis period.

[0216] In one exemplary embodiment, the device for determining transaction parameters further includes an analysis period determination module, which includes:

[0217] The transaction parameter acquisition unit is used to acquire transaction parameters for a specified period of time, starting from the end time of the previous analysis period and spaced at a first preset time interval.

[0218] The analysis period determination unit is used to determine the specified period as the current analysis period when the difference between the preset trading parameters and the trading parameters of the specified period is less than or equal to the target trading parameter threshold.

[0219] The preset time length determination unit is configured to determine a second preset time length according to the preset transaction parameter and the transaction parameter of the specified period when the difference parameter between the preset transaction parameter and the transaction parameter of the specified period is greater than a target transaction parameter threshold; and the second preset time length is greater than the first preset time length.

[0220] The analysis period determination unit is further configured to determine a period starting at the end time of the previous analysis period and lasting for the second preset time length as the current analysis period.

[0221] In an exemplary embodiment, the preset time length determination unit is specifically configured to:

[0222] determine a transaction volume ratio as a ratio between the transaction volume of the specified period and a preset transaction volume, and determine a transaction resource value ratio as a ratio between the transaction resource value of the specified period and a preset resource value;

[0223] perform weighted processing on the transaction volume ratio and the transaction resource value ratio to obtain a comprehensive ratio;

[0224] determine the second preset time length according to the comprehensive ratio.

[0225] In an exemplary embodiment, the risk data acquisition module includes:

[0226] The mapping relationship acquisition unit is configured to acquire a mapping relationship between each other management institution in a set of other management institutions other than the first management institution and a sub-management institution under the first management institution for maintaining the other management institution;

[0227] The management institution determination unit is configured to determine a target sub-management institution associated with the second management institution according to the mapping relationship;

[0228] The sending unit is configured to send a risk request of the second management institution to the target sub-management institution;

[0229] The risk data determination unit is configured to determine risk data of the second management institution according to risk information of the second management institution sent by the target sub-management institution.

[0230] In an exemplary embodiment, the transaction parameter determination module includes:

[0231] The transaction risk data determination unit is configured to determine transaction risk data in the current analysis period according to overall transaction data and transaction parameters of the transaction object in the current analysis period;

[0232] The comprehensive risk data determination unit is configured to determine comprehensive risk data in the current analysis period according to the risk data of the second management institution and the transaction risk data in the current analysis period;

[0233] The plan transaction amount determination unit is configured to adjust a preset transaction amount in the preset transaction parameter by using a difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter and comprehensive risk data in the current analysis period, to obtain a plan transaction amount of the transaction object in a next analysis period.

[0234] The plan transaction parameter determination unit is configured to determine a plan transaction parameter of the transaction object in the next analysis period according to the plan transaction amount of the transaction object in the next analysis period.

[0235] In an exemplary embodiment, the transaction risk data determination unit is specifically configured to:

[0236] From the overall transaction data in the current analysis period, the following contents corresponding to the transaction object in the current analysis period are obtained: a resource value fluctuation rate, a first resource value average, and a first transaction amount.

[0237] The average of the transaction resource value in the transaction parameter of the transaction object in the current analysis period is determined as a second resource value average, and resource value risk data is determined according to a ratio between the second resource value average and the first resource value average.

[0238] The average of the transaction amount in the transaction parameter of the transaction object in the current analysis period is determined as a second transaction amount, and transaction amount risk data is determined according to a ratio between the second transaction amount and the first transaction amount.

[0239] The transaction risk data in the current analysis period is determined according to the resource value fluctuation rate, the resource value risk data, and the transaction amount risk data.

[0240] In an exemplary embodiment, the transaction parameter determination module includes:

[0241] The data acquisition unit is configured to obtain the following contents corresponding to the transaction object in the current analysis period from the overall transaction data in the current analysis period: a resource value fluctuation rate and a first resource value average.

[0242] The resource difference value determination unit is configured to determine the average of the transaction resource value in the transaction parameter of the transaction object in the current analysis period as a second resource value average, and determine a difference value between the second resource value average and the first resource value average as a resource difference value.

[0243] The plan transaction resource value determination unit is configured to adjust a preset transaction resource value in the preset transaction parameter by using a difference parameter between the transaction parameter of the transaction object in the current analysis period and the preset transaction parameter, the resource value fluctuation rate in the current analysis period, and the resource difference value, to obtain a plan transaction resource value of the transaction object in a next analysis period.

[0244] The planned transaction parameter determination unit is configured to determine a planned transaction parameter of the transaction object in the next analysis period according to a planned transaction resource value of the transaction object in the next analysis period.

[0245] Each of the above modules can be implemented wholly or partially by software, hardware, and a combination thereof. The above modules can be embedded in or independent of a processor in the computer device in hardware form, or stored in a memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0246] Each of the above modules can be implemented wholly or partially by software, hardware, and a combination thereof. The above modules can be embedded in or independent of a processor in the computer device in hardware form, or stored in a memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0247] In one exemplary embodiment, Figure 10 A structural schematic diagram of a computer device is provided for one embodiment, which includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals, and the wireless communication can be achieved through wireless fidelity (WIFI), mobile cellular network, near field communication (NFC), or other technologies. The computer program is executed by the processor to implement a transaction parameter determination method. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or a key, a trackball, or a touchpad arranged on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0248] Those skilled in the art can understand, Figure 10The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0249] For example, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method of any one of the above embodiments when executing the computer program.

[0250] For example, in an exemplary embodiment, the processor is configured to implement the following when executing the computer program: obtaining, from a transaction management system of a first management institution, a plurality of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions; analyzing the plurality of business transaction data in the current analysis period to obtain transaction parameters of a transaction object in the current analysis period and second management institutions that conduct each business transaction with the first management institution; obtaining risk data of the second management institutions from a business management system of a sub-management institution subordinate to the first management institution; adjusting a preset transaction parameter using a difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institutions, to obtain a planned transaction parameter of the transaction object in a next analysis period.

[0251] In one embodiment, a computer-readable storage medium is provided, and a computer program is executed by a processor to implement the steps of the method provided by any one of the above embodiments.

[0252] For example, in an exemplary embodiment, a computer-readable storage medium is provided, and a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to implement the following steps: obtaining, from a transaction management system of a first management institution, a plurality of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions; analyzing the plurality of business transaction data in the current analysis period to obtain transaction parameters of a transaction object in the current analysis period and second management institutions that conduct each business transaction with the first management institution; obtaining risk data of the second management institutions from a business management system of a sub-management institution subordinate to the first management institution; adjusting a preset transaction parameter using a difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameter, the overall transaction data in the current analysis period, and the risk data of the second management institutions, to obtain a planned transaction parameter of the transaction object in a next analysis period.

[0253] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method provided by any of the above embodiments.

[0254] For example, in one exemplary embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the following steps: obtaining, from a transaction management system of a first management institution, a plurality of business transaction data in a current analysis period, and obtaining, from a cloud server, overall transaction data in the current analysis period; the overall transaction data is generated by transaction data of all institutions participating in business transactions; analyzing the plurality of business transaction data in the current analysis period to obtain transaction parameters of a transaction object in the current analysis period and second management institutions that conduct each business transaction with the first management institution; obtaining risk data of the second management institutions from business management systems of sub-management institutions of the first management institution; adjusting preset transaction parameters using a difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, the overall transaction data in the current analysis period, and the risk data of the second management institutions, to obtain planned transaction parameters of the transaction object in a next analysis period.

[0255] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments.

[0256] The processor, each functional module or each functional unit in any of the embodiments of the present application can include an integration of any one or more of the following: a general purpose processor, an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a neural-network processing units (NPU), a controller, a microcontroller, a microprocessor, a programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, a data processing logic device based on quantum computing, an Artificial Intelligence (AI) processor, and the like. The general purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0257] The memory or computer readable storage medium in any of the embodiments of the present application can include at least one of a non-volatile memory and a volatile memory. The non-volatile memory includes integration of one or more of the following: Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Ferromagnetic Random Access Memory (FRAM), Flash Memory, magnetic random access memory, optical disk, Compact Disc Read-Only Memory (CD-ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, volatile memory, and the like. The volatile memory includes integration of one or more of the following: Random Access Memory (RAM) or external cache memory, and the like. As an illustration but not limitation, the RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), and the like.

[0258] Any of the technical features of the above embodiments can be combined. For the sake of brevity, the combinations of each technical feature in the above embodiments are not all described, however, as long as the combinations of the technical features do not contradict each other, they should be considered within the scope of the present application.

[0259] The above embodiments only express several implementation ways of the present application, and the description is specific and detailed, but it should not be understood as a limitation to the patent scope of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for determining transaction parameters, characterized in that, The method is applied to the business management system of the first management organization, and the method includes: The system obtains multiple business transaction data within the current analysis period from the transaction management system of the first management institution, and obtains the overall transaction data within the current analysis period from the cloud server; the overall transaction data is generated from the transaction data of all institutions participating in the business transactions. Analyze multiple business transaction data within the current analysis period to obtain the transaction parameters of the traded items within the current analysis period and the second management institution that conducted each business transaction with the first management institution. Obtain the risk data of the second management organization from the business management system of the sub-management organizations under the first management organization; By using the difference parameters between the trading parameters of the traded commodity in the current analysis period and the preset trading parameters, the overall trading data in the current analysis period, and the risk data of the second management institution, the preset trading parameters are adjusted to obtain the planned trading parameters of the traded commodity in the next analysis period.

2. The method according to claim 1, characterized in that, Before obtaining multiple business transaction data within the current analysis period from the transaction management system of the first management institution, the method further includes: Obtain transaction parameters for a specified time period starting from the end time of the last analysis period and with an interval of the first preset duration; If the difference between the preset transaction parameters and the transaction parameters for the specified time period is less than or equal to the target transaction parameter threshold, the specified time period is determined as the current analysis time period. If the difference between the preset transaction parameters and the transaction parameters for the specified time period is greater than the target transaction parameter threshold, a second preset duration is determined based on the transaction parameters for the specified time period and the preset transaction parameters; the second preset duration is greater than the first preset duration. The current analysis period is defined as the time interval between the end time of the previous analysis period and the second preset time interval.

3. The method according to claim 2, characterized in that, The transaction parameters for the specified time period include the transaction volume and transaction resource value for the specified time period, and the preset transaction parameters include the preset transaction volume and preset resource value; The step of determining the second preset duration based on the transaction parameters of the specified time period and the preset transaction parameters includes: The ratio between the transaction volume in the specified time period and the preset transaction volume is determined as the transaction volume ratio, and the ratio between the transaction resource value in the specified time period and the preset resource value is determined as the transaction resource value ratio. The ratio of transaction volume to the ratio of transaction resource value are weighted to obtain a comprehensive ratio; The second preset duration is determined based on the comprehensive ratio.

4. The method according to any one of claims 1 to 3, characterized in that, The step of obtaining the risk data of the second management organization from the business management system of the subordinate sub-management organizations of the first management organization includes: Obtain the mapping relationship between each other management institution in the set of other management institutions besides the first management institution and the sub-management institutions under the first management institution used to maintain the other management institutions; The target sub-management agencies associated with the second management agency are determined based on the mapping relationship; Send the risk request from the second management agency to the target sub-management agency; Based on the risk information received from the target sub-management agency and sent by the second management agency, the risk data of the second management agency is determined.

5. The method according to any one of claims 1 to 3, characterized in that, The step of adjusting the preset trading parameters using the difference parameters between the trading parameters of the traded goods in the current analysis period and the preset trading parameters, the overall trading data in the current analysis period, and the risk data of the second management institution, to obtain the planned trading parameters of the traded goods in the next analysis period includes: Based on the overall transaction data and the transaction parameters of the traded items within the current analysis period, the transaction risk data within the current analysis period is determined; Based on the risk data of the second management institution and the transaction risk data during the current analysis period, determine the comprehensive risk data for the current analysis period; By using the difference parameters between the trading parameters of the traded commodity in the current analysis period and the preset trading parameters, and the comprehensive risk data in the current analysis period, the preset trading volume in the preset trading parameters is adjusted to obtain the planned trading volume of the traded commodity in the next analysis period; Based on the planned trading volume of the traded commodity in the next analysis period, determine the planned trading parameters of the traded commodity in the next analysis period.

6. The method according to claim 5, characterized in that, The step of determining the transaction risk data for the current analysis period based on the overall transaction data and the transaction parameters of the traded asset within the current analysis period includes: From the overall transaction data within the current analysis period, obtain the following information corresponding to the traded asset within the current analysis period: resource value volatility, first resource value average value, and first transaction volume; The average value of the transaction resource value in the transaction parameters of the traded item during the current analysis period is determined as the second average resource value, and the resource value risk data is determined based on the ratio between the second average resource value and the first average resource value. The average value of the trading volume in the trading parameters of the traded item during the current analysis period is determined as the second trading volume, and the trading volume risk data is determined based on the ratio between the second trading volume and the first trading volume. Based on the resource value volatility, the resource value risk data, and the trading volume risk data, the trading risk data for the current analysis period is determined.

7. The method according to any one of claims 1 to 3, characterized in that, The step of adjusting the preset trading parameters using the difference parameters between the trading parameters of the traded goods in the current analysis period and the preset trading parameters, the overall trading data in the current analysis period, and the risk data of the second management institution, to obtain the planned trading parameters of the traded goods in the next analysis period includes: From the overall transaction data within the current analysis period, obtain the following information corresponding to the traded asset within the current analysis period: resource value volatility and average first resource value; The average value of the transaction resource value in the transaction parameters of the traded item during the current analysis period is determined as the second average resource value, and the difference between the second average resource value and the first average resource value is determined as the resource difference value. By using the difference parameters between the trading parameters of the traded object in the current analysis period and the preset trading parameters, the volatility of the resource value in the current analysis period, and the resource difference value, the preset trading resource value in the preset trading parameters is adjusted to obtain the planned trading resource value of the traded object in the next analysis period; Based on the planned transaction resource value of the traded item in the next analysis period, determine the planned transaction parameters of the traded item in the next analysis period.

8. A device for determining transaction parameters, characterized in that, The device includes: The transaction data acquisition module is used to acquire multiple business transaction data within the current analysis period from the transaction management system of the first management institution, and to acquire the overall transaction data within the current analysis period from the cloud server; the overall transaction data is generated from the transaction data of all institutions participating in the business transactions. The analysis module is used to analyze multiple business transaction data within the current analysis period to obtain the transaction parameters of the traded items within the current analysis period and the second management institution that conducted each business transaction with the first management institution. The risk data acquisition module is used to acquire risk data of the second management agency from the business management system of the sub-management agencies under the first management agency; The transaction parameter determination module is used to adjust the preset transaction parameters by using the difference parameters between the transaction parameters of the traded items in the current analysis period and the preset transaction parameters, the overall transaction data in the current analysis period, and the risk data of the second management institution, so as to obtain the planned transaction parameters of the traded items in the next analysis period.

9. The apparatus according to claim 8, characterized in that, The device further includes an analysis period determination module, which includes: The transaction parameter acquisition unit is used to acquire transaction parameters for a specified period of time, starting from the end time of the previous analysis period and spaced at a first preset time interval. The analysis period determination unit is used to determine the specified period as the current analysis period when the difference parameter between the preset transaction parameters and the transaction parameters of the specified period is less than or equal to the target transaction parameter threshold. A preset duration determination unit is used to determine a second preset duration based on the transaction parameters of the specified time period and the preset transaction parameters when the difference parameter between the preset transaction parameters and the transaction parameters of the specified time period is greater than the target transaction parameter threshold; the second preset duration is greater than the first preset duration. The analysis period determination unit is further configured to determine the current analysis period as the period that begins at the end time of the previous analysis period and is spaced at the second preset time interval.

10. The apparatus according to claim 9, characterized in that, The transaction parameters for the specified time period include the transaction volume and transaction resource value for the specified time period; the preset transaction parameters include a preset transaction volume and a preset resource value; the preset duration determination unit is specifically used for: The ratio between the transaction volume in the specified time period and the preset transaction volume is determined as the transaction volume ratio, and the ratio between the transaction resource value in the specified time period and the preset resource value is determined as the transaction resource value ratio. The ratio of transaction volume to the ratio of transaction resource value are weighted to obtain a comprehensive ratio; The second preset duration is determined based on the comprehensive ratio.

11. The apparatus according to any one of claims 8 to 10, characterized in that, The risk data acquisition module includes: The mapping relationship acquisition unit is used to acquire the mapping relationship between each other management institution in the set of other management institutions other than the first management institution and the sub-management institutions under the first management institution used to maintain the other management institutions; The management organization determination unit is used to determine the target sub-management organization associated with the second management organization based on the mapping relationship; The sending unit is used to send the risk request from the second management agency to the target sub-management agency; The risk data determination unit is used to determine the risk data of the second management agency based on the risk information sent by the target sub-management agency to the second management agency.

12. The apparatus according to any one of claims 8 to 10, characterized in that, The transaction parameter determination module includes: The transaction risk data determination unit is used to determine the transaction risk data for the current analysis period based on the overall transaction data and the transaction parameters of the traded commodity during the current analysis period. The comprehensive risk data determination unit is used to determine the comprehensive risk data for the current analysis period based on the risk data of the second management institution and the transaction risk data for the current analysis period. The planned trading volume determination unit is used to adjust the preset trading volume in the preset trading parameters by using the difference parameters between the trading parameters of the traded object in the current analysis period and the preset trading parameters and the comprehensive risk data in the current analysis period, so as to obtain the planned trading volume of the traded object in the next analysis period. The planned transaction parameter determination unit is used to determine the planned transaction parameters of the traded commodity in the next analysis period based on the planned transaction volume of the traded commodity in the next analysis period.

13. The apparatus according to claim 12, characterized in that, The transaction risk data determination unit is specifically used for: From the overall transaction data within the current analysis period, obtain the following information corresponding to the traded asset within the current analysis period: resource value volatility, first resource value average value, and first transaction volume; The average value of the transaction resource value in the transaction parameters of the traded item during the current analysis period is determined as the second average resource value, and the resource value risk data is determined based on the ratio between the second average resource value and the first average resource value. The average value of the trading volume in the trading parameters of the traded item during the current analysis period is determined as the second trading volume, and the trading volume risk data is determined based on the ratio between the second trading volume and the first trading volume. Based on the resource value volatility, the resource value risk data, and the trading volume risk data, the trading risk data for the current analysis period is determined.

14. The apparatus according to any one of claims 8 to 10, characterized in that, The transaction parameter determination module includes: The data acquisition unit is used to acquire the following information corresponding to the traded items in the current analysis period from the overall transaction data in the current analysis period: resource value volatility and first resource value average value; The resource difference value determination unit is used to determine the average value of the transaction resource value in the transaction parameters of the transaction item during the current analysis period as the second average value, and to determine the difference between the second average value and the first average value as the resource difference value. The planned transaction resource value determination unit is used to adjust the preset transaction resource value in the preset transaction parameters by using the difference parameter between the transaction parameters of the transaction object in the current analysis period and the preset transaction parameters, the volatility of the resource value in the current analysis period, and the resource difference value, so as to obtain the planned transaction resource value of the transaction object in the next analysis period. The planned transaction parameter determination unit is used to determine the planned transaction parameters of the transaction in the next analysis period based on the planned transaction resource value of the transaction in the next analysis period.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

17. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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