Asset management data processing method and device, computer device and storage medium

Abstract

The application relates to the technical field of big data processing, in particular to an asset management data processing method and device, computer equipment, a storage medium and a computer program product. In response to an asset management instruction configuration operation, an asset management instruction set is obtained and risk control trial calculation is performed on the asset management instruction set, a qualified asset management instruction set is obtained, a risk control rule model is constructed according to supervision regulations and company systems, batch risk verification is performed on the instruction package, and the efficiency of instruction risk trial calculation is improved. The qualified asset management instruction set is further input into a preset distribution rule model, a node execution object set corresponding to the qualified asset management instruction set is obtained, and the qualified asset management instruction set is distributed and displayed based on the node execution object set, so that the execution object claims and executes the displayed asset management instruction. Compared with the existing asset management investment behavior management system, the asset management convenience degree, instruction execution success rate and management efficiency are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data processing, and in particular to an asset management data processing method and device, computer equipment, a storage medium and a computer program product. BACKGROUND

[0002] With the development of the asset management industry, the competitiveness of the asset management market is continuously improving, and each asset management institution has gradually developed from initially specializing in asset management in a certain field to having multi-asset, cross-market and full-platform asset management capabilities. For example, banks and other asset management institutions, which have traditionally focused on fixed-income product asset management, have continuously expanded their asset management capabilities for other targets such as equities and derivatives under the promotion of the new asset management rules, and can provide users with more diversified asset management projects.

[0003] At the same time, the rapid development of asset management capabilities also puts higher requirements on the risk control and comprehensive management capabilities of each asset management institution. However, due to the long-term single nature of business development, the management system of the existing asset management institutions has been unable to adapt to the current multi-asset, cross-market and full-platform asset management capabilities. SUMMARY

[0004] Therefore, it is necessary to provide an asset management data processing method, device, computer equipment, storage medium and computer program product to solve the technical problem that the existing management system of the asset management institution cannot adapt to the newly added asset management capabilities.

[0005] In a first aspect, the present application provides an asset management data processing method, which comprises:

[0006] In response to an asset management instruction configuration operation, an asset management instruction set is obtained;

[0007] The asset management instruction set is subjected to a risk control trial calculation to obtain a qualified asset management instruction set;

[0008] The qualified asset management instruction set is input into a preset distribution rule model to obtain a node execution object set corresponding to the qualified asset management instruction set;

[0009] The qualified asset management instruction set is distributed and displayed based on the node execution object set, so that the objects in the node execution object set claim and execute the displayed asset management instructions.

[0010] In one embodiment, the risk control trial calculation of the asset management instruction set to obtain a qualified asset management instruction set comprises:

[0011] classifying the asset management instruction set by portfolio manner to obtain at least one first asset management instruction subset;

[0012] classifying each of the first asset management instruction subsets by asset management target to obtain at least one second asset management instruction subset;

[0013] conducting a risk control trial calculation on each of the second asset management instruction subsets according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset;

[0014] conducting a risk control trial calculation on each of the qualified second asset management instruction subsets according to a preset portfolio layer risk control rule to obtain a qualified first asset management instruction subset;

[0015] conducting a risk control trial calculation on each of the qualified first asset management instruction subsets according to a preset global layer risk control rule to obtain the qualified asset management instruction set.

[0016] In one of the embodiments, the risk control trial calculation on each of the second asset management instruction subsets according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset comprises:

[0017] conducting a netting calculation on the asset management instructions in each of the second asset management instruction subsets to obtain asset summary data corresponding to each of the second asset management instruction subsets;

[0018] when the asset summary data corresponding to the second asset management instruction subset meets a risk control threshold set in the preset target layer risk control rule, determining that the second asset management instruction subset is a qualified second asset management instruction subset.

[0019] In one of the embodiments, the risk control trial calculation on each of the qualified second asset management instruction subsets according to a preset portfolio layer risk control rule to obtain a qualified first asset management instruction subset comprises:

[0020] conducting an asset accumulation trial calculation on the asset management instructions in each of the qualified second asset management instruction subsets of the same portfolio manner according to instruction creation order to obtain asset variation data;

[0021] when the asset variation data meets the preset portfolio layer risk control rule, taking all the asset management instructions in each of the qualified second asset management instruction subsets of the same portfolio manner as a qualified first asset management instruction subset.

[0022] In one of the embodiments, the determination process of the preset assignment rule model comprises:

[0023] determining at least one node when the asset management instructions are assigned, and an execution object set corresponding to each of the nodes.

[0024] Determine the dispatch rule data for each execution object in the execution object set corresponding to each node;

[0025] Based on the set of execution objects corresponding to each node and the dispatch rule data of each execution object in the set of execution objects corresponding to each node, a preset dispatch rule model is constructed.

[0026] In one embodiment, after dispatching and displaying the qualified asset management instruction set based on the node execution object set, the method further includes:

[0027] In response to an instruction assignment request initiated by the current node execution object, the asset management instruction corresponding to the instruction assignment request is assigned to the execution object corresponding to the instruction assignment request.

[0028] In one embodiment, the method further includes:

[0029] Based on the preset grouping rules and execution indicators of the current node execution object, the asset management instructions it has claimed are automatically grouped and executed.

[0030] In one embodiment, before obtaining the asset management instruction set in response to the asset management instruction configuration operation, the method further includes:

[0031] The system retrieves the instruction type for which asset management instructions need to be configured and displays the instruction configuration template corresponding to the instruction type, so that business personnel can perform instruction configuration operations based on the instruction configuration template; the instruction configuration template is constructed from instruction elements selected from a preset instruction element set according to the instruction type.

[0032] Secondly, this application also provides an asset management data processing apparatus, the apparatus comprising:

[0033] The instruction acquisition module is used to acquire the asset management instruction set in response to asset management instruction configuration operations;

[0034] The risk control trial calculation module is used to perform risk control trial calculations on the asset management instruction set to obtain a qualified asset management instruction set.

[0035] The execution object acquisition module is used to input the qualified asset management instruction set into a preset dispatch rule model to obtain the set of node execution objects corresponding to the qualified asset management instruction set;

[0036] The instruction dispatch module is used to dispatch and display the qualified asset management instruction set based on the node execution object set, so that the objects in the node execution object set can claim and execute the displayed asset management instructions.

[0037] In one of the embodiments,

[0038] The risk control trial module is further configured to classify the asset management instruction set according to asset portfolio manners to obtain at least one first asset management instruction subset; classify each of the first asset management instruction subsets according to asset management targets to obtain at least one second asset management instruction subset; perform risk control trial on each of the second asset management instruction subsets according to preset target layer risk control rules to obtain a qualified second asset management instruction subset; perform risk control trial on each of the qualified second asset management instruction subsets according to preset portfolio layer risk control rules to obtain a qualified first asset management instruction subset; and perform risk control trial on each of the qualified first asset management instruction subsets according to preset global layer risk control rules to obtain the qualified asset management instruction set.

[0039] In one of the embodiments,

[0040] The risk control trial module is further configured to perform netting and aggregation on asset management instructions in each of the second asset management instruction subsets to obtain asset aggregation data corresponding to each of the second asset management instruction subsets; and determine each of the second asset management instruction subsets as a qualified second asset management instruction subset when the asset aggregation data corresponding to the second asset management instruction subset satisfies a risk control threshold set in the preset target layer risk control rule.

[0041] In one of the embodiments,

[0042] The risk control trial module is further configured to perform asset accumulation trial on asset management instructions in each of the qualified second asset management instruction subsets of the same asset portfolio manner according to instruction creation order to obtain asset variation data; and determine all asset management instructions in each of the qualified second asset management instruction subsets of the same asset portfolio manner as a qualified first asset management instruction subset when the asset variation data satisfies the preset portfolio layer risk control rule.

[0043] In one of the embodiments, the device further comprises:

[0044] The assignment rule model determination module is configured to determine at least one node when asset management instructions are assigned, and an execution object set corresponding to each of the nodes; determine assignment rule data of each execution object in the execution object set corresponding to each of the nodes; and construct a preset assignment rule model based on the execution object set corresponding to each of the nodes and the assignment rule data of each execution object in the execution object set corresponding to each of the nodes.

[0045] In one of the embodiments, the device further comprises:

[0046] The instruction assignment module is used to respond to an instruction assignment request initiated by the current node execution object and assign the asset management instruction corresponding to the instruction assignment request to the execution object corresponding to the instruction assignment request.

[0047] In one embodiment, the device further includes:

[0048] The instruction execution module is used to automatically group and execute the asset management instructions claimed by the current node execution object according to the preset grouping rules and execution indicators.

[0049] In one embodiment, the device further includes:

[0050] The instruction configuration module is used to obtain the instruction type of the asset management instruction to be configured and display the instruction configuration template corresponding to the instruction type, so that business personnel can perform instruction configuration operations based on the instruction configuration template; the instruction configuration template is constructed from instruction elements selected from a preset instruction element set according to the instruction type.

[0051] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0052] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0053] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method.

[0054] The aforementioned asset management data processing method, device, computer equipment, storage medium, and computer program product, in response to asset management instruction configuration operations, acquire an asset management instruction set, perform risk control calculations on the asset management instruction set, obtain a qualified asset management instruction set, and realize the construction of a risk control rule model in accordance with regulatory laws and company systems. This enables batch risk verification of instruction packages, improving the efficiency of instruction risk calculation. Furthermore, the qualified asset management instruction set is input into a preset allocation rule model to obtain a set of node execution objects corresponding to the qualified asset management instruction set. Based on the set of node execution objects, the qualified asset management instruction set is allocated and displayed, allowing objects in the node execution object set to claim and execute the displayed asset management instructions. Compared to existing full-cycle execution methods for asset management investment activities, this significantly improves asset management convenience, instruction execution success rate, and management efficiency. Attached Figure Description

[0055] Figure 1 An application environment diagram of the asset management data processing method in an embodiment;

[0056] Figure 2 A flowchart of the asset management data processing method in an embodiment;

[0057] Figure 3 A flowchart of the risk trial step of the asset management instruction set in an embodiment;

[0058] Figure 4 A data flow diagram of the risk trial step in an embodiment;

[0059] Figure 5 A flowchart of the risk trial step of the target layer risk control rule in an embodiment;

[0060] Figure 6 A flowchart of the risk trial step of the combination layer risk control rule in an embodiment;

[0061] Figure 7 A flowchart of the preset dispatch rule model construction step in an embodiment;

[0062] Figure 8 An overall architecture diagram of the asset management data processing apparatus in an embodiment;

[0063] Figure 9 A flowchart of the asset management instruction dispatch step in an embodiment;

[0064] Figure 10 A structural block diagram of the asset management data processing apparatus in an embodiment;

[0065] Figure 11 An internal structure diagram of the computer device in an embodiment. DETAILED DESCRIPTION

[0066] 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 laws, regulations and standards of relevant countries and regions.

[0067] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0068] The asset management data processing method provided by the embodiments of the present application can be applied to an application environment as shown in Figure 1 The terminal 102 and the plurality of terminals 104 communicate with the server 106 through a network. A data storage system can store data required to be processed by the server 106. The data storage system can be integrated on the server 106, or placed on a cloud or other network server. Specifically, in response to an asset management instruction configuration operation initiated on the terminal 102, the server 106 obtains a set of asset management instructions; performs a risk control trial calculation on the set of asset management instructions to obtain a set of qualified asset management instructions; inputs the set of qualified asset management instructions into a preset distribution rule model to obtain a set of node execution objects corresponding to the set of qualified asset management instructions; and distributes and displays the set of qualified asset management instructions based on the set of node execution objects, so that the objects in the set of node execution objects claim and execute the asset management instructions displayed on their terminals 104. The terminal 102 and the terminal 104 can be, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The server 106 can be implemented by an independent server or a server cluster composed of multiple servers.

[0069] In one embodiment, as shown in Figure 2 An asset management data processing method is provided. The method is applied to the server 106 in Figure 1 for example, and includes the following S200 to S800, in which:

[0070] S200: In response to an asset management instruction configuration operation, a set of asset management instructions is obtained.

[0071] The set of asset management instructions includes at least one asset management instruction, and the asset management instruction is an instruction used to realize asset allocation or allocation in the process of asset management. It can be understood that the asset management instruction is constructed by instruction elements, and the instruction elements are used to represent related information of the asset allocation or allocation process, for example, but not limited to, asset management account, asset type, asset name, asset code, instruction direction, instruction price, instruction quantity, and instruction amount, etc. Taking the asset type as an example, the types that can be included are fixed income, equity, commodities and financial derivatives, and mixed types, etc. It can be understood that the asset management instructions included in the set of asset management instructions can be instructions for asset management of the same asset type, or instructions for asset management of different asset types.

[0072] Specifically, the asset management instruction configuration operation can be understood as an operation of configuring each instruction element of the asset management instruction, and the asset management technician generates the asset management instruction set after performing the configuration operation on the instruction elements of one or more asset management instructions on the asset management instruction configuration page. The asset management technician can perform the asset management instruction configuration operation in a way of manually entering each item or in a way of uploading a file for batch import.

[0073] It can be understood that, in order to realize convenient configuration of the asset management instruction, a plurality of instruction configuration templates can be created in a modular manner according to the required instruction elements of various asset management instructions, for the asset management instruction configuration operation. Correspondingly, in an embodiment, before S200, the method further comprises: obtaining the instruction type of the asset management instruction to be configured, and displaying the instruction configuration template corresponding to the instruction type, so that the business personnel perform the instruction configuration operation based on the instruction configuration template; the instruction configuration template is constructed by the instruction elements selected from the preset instruction element set according to the instruction type.

[0074] The preset instruction element set is a collection of instruction elements required by asset management instructions of all instruction types, which can be obtained by analyzing the interface specification requirements of the execution platform of the asset management instructions of each instruction type. The execution platform of the asset management instruction can be, for example, a securities company counter system, a bank interbank foreign exchange trading center, and a futures company counter system. The instruction elements required by asset management instructions of different markets, different business types, and different business varieties can be collected to establish the preset instruction element set for direct extraction when creating the instruction configuration template.

[0075] Specifically, the instruction type of the asset management instruction has a corresponding relationship with the required instruction elements, and the instruction type of the asset management instruction also has a one-to-one corresponding relationship with the instruction configuration template. Therefore, after the asset management technician inputs the instruction type of one or more asset management instructions required to be configured on the asset management instruction configuration page, the server can directly select the corresponding instruction elements from the preset instruction element set according to the input instruction type of the asset management instruction, construct and display the instruction configuration template corresponding to the instruction type. The instruction configuration template can be, for example, a stock management instruction configuration template, a fund management instruction configuration template, and a bond management instruction configuration template.

[0076] S400: Risk control trial calculation is performed on the asset management instruction set to obtain a qualified asset management instruction set.

[0077] Specifically, the risk control trial calculation is used to determine whether the fund management operation corresponding to the asset management instruction in the asset management instruction set meets the requirements of the regulatory regulations and the company system. It can be understood that the collection of the asset management instructions after the risk control trial calculation is the qualified asset management instruction set.

[0078] The way of stress test on the asset management instruction set is not unique. It can be stress test on each asset management instruction in the asset management instruction set to obtain qualified asset management instructions. It can also be stress test on the asset management instructions in the asset management instruction set in parallel after classification according to instruction elements to improve the efficiency of stress test. In addition, it can also be multi-level risk test on the asset management instructions in the asset management instruction set in the order of target-portfolio-global to improve the accuracy of stress test. The way of stress test on the asset management instruction set can also be any combination of the above methods, as long as it can achieve comprehensive and accurate stress test on the asset management instructions.

[0079] S600: input the qualified asset management instruction set into the preset assignment rule model to obtain a node execution object set corresponding to the qualified asset management instruction set.

[0080] The preset assignment rule model is used to determine the number of process nodes corresponding to each asset management instruction in the qualified asset management instruction set and the execution object set corresponding to each process node, which can be obtained according to expert experience and business rules. It can be understood that the functions that can be realized by the process nodes corresponding to the asset management instructions include but are not limited to approval and review, assignment, execution, etc. Taking financial assets as an example, the processing roles in different stages of the investment process can include but are not limited to investment managers, risk control and approval managers, investment directors, transaction directors, transaction group leaders, and transaction officers.

[0081] Specifically, the node execution object set includes at least one execution object corresponding to at least one process node, that is, it can be understood that each asset management instruction in the qualified asset management instruction set can correspond to at least one process node, and the operation of the process node can be completed by at least one execution object. When multiple process nodes are included, each process node can also include a sequence to enable the server to subsequently assign and display the qualified asset management instruction set according to the sequence of each process node. When the same process node includes multiple execution objects, the server can subsequently assign and display the qualified asset management instruction set on the terminals of the multiple execution objects.

[0082] S800: assign and display the qualified asset management instruction set based on the node execution object set, so that the objects in the node execution object set claim and execute the displayed asset management instructions.

[0083] Specifically, after obtaining the node execution object set, the server can automatically construct multiple sets of instruction management pools according to the node execution object set, for dispatching and displaying. It can be understood that the asset processing instructions in the same instruction management pool represent multiple asset management instructions that can be executed by the same node execution object set. In the dispatching and execution phase, the server can dispatch and display the multiple sets of instruction management pools to the objects in the corresponding node execution object set, so that the objects in the node execution object set claim and execute the displayed asset management instructions.

[0084] Further, the asset management instructions can be run in a mode of being actively taken and executed by the execution objects, or the priority parameters of each execution object can be set, and the asset management instructions can be allocated to the execution objects with higher priority for execution. It can be understood that after being dispatched to the execution object end, the asset management instructions will also be subject to permission isolation, that is, the claimed asset management instructions will be excluded from the instruction management pool, and the display to other execution objects will be cancelled.

[0085] In addition, after the asset management instructions are dispatched to the execution object end, they can be further processed in response to different operations of the execution objects. In one embodiment, the method further comprises: automatically grouping and executing the claimed asset management instructions according to the preset grouping rules and execution indicators of the current node execution object. Among them, the grouping rules can be based on instruction element definition to automatically group the claimed asset management instructions, so as to more clearly process the asset management instructions. Of course, the execution object can also manually group the claimed asset management instructions through selection operation on the terminal. The execution object can also set an execution indicator set based on the execution instruction mode, for example, the uniformly set execution indicators include but are not limited to: grouping instruction quantity, investment scale asset proportion, concentration deviation, quotation mode, quantitative order size, etc. Further, after claiming the asset management instructions, they are directly processed in batches according to the set execution indicators, so as to improve the instruction processing efficiency.

[0086] In one embodiment, after the node execution object set dispatches and displays the qualified asset management instruction set, the method further comprises: in response to the instruction assignment request initiated by the current node execution object, dispatching the asset management instruction corresponding to the instruction assignment request to the execution object corresponding to the instruction assignment request. It can be understood that the execution object with higher priority or higher authority role can also initiate an instruction assignment request after taking the asset management instruction, and assign the claimed asset management instruction between specific execution objects.

[0087] The aforementioned asset management data processing method, in response to asset management instruction configuration operations, obtains an asset management instruction set, performs risk control calculations on the instruction set to obtain a qualified asset management instruction set, and realizes the construction of a risk control rule model in accordance with regulatory laws and company systems. It then performs batch risk verification on instruction packages, improving the efficiency of instruction risk calculation. Furthermore, the qualified asset management instruction set is input into a preset allocation rule model to obtain a set of node execution objects corresponding to the qualified asset management instruction set. Based on this set of node execution objects, the qualified asset management instruction set is allocated and displayed, allowing objects in the node execution object set to claim and execute the displayed asset management instructions. Compared to existing methods for executing asset management investment activities throughout the entire lifecycle, this method significantly improves asset management convenience, instruction execution success rate, and management efficiency.

[0088] In one embodiment, such as Figure 3 and Figure 4 As shown, S400 includes the following S410 to S450, wherein:

[0089] S410: Classify the asset management instruction set according to asset portfolio method to obtain at least one first asset management instruction subset. The asset portfolio method is one of the instruction elements of the asset management instruction, representing the way the same asset management account manages assets of different asset types in a combined manner. It can be used to configure the asset proportion corresponding to the asset types involved under the asset portfolio method. This can be understood as follows: Figure 4 As shown, if the asset management instruction set contains N asset combination methods, then after classification, N first asset management instruction subsets can be obtained, and the asset management instructions in each first asset management instruction subset belong to the same asset combination method.

[0090] S420: Classify each subset of first asset management instructions according to the asset management objective to obtain at least one subset of second asset management instructions. Here, the asset management objective can be understood as instruction elements such as asset name or asset code, used to characterize the target asset for asset management; in the financial industry, it is commonly referred to as the investment target. For example... Figure 4 As shown, if the first asset management instruction subset includes M types of asset management objectives, then after classification, M second asset management instruction subsets can be obtained. The asset management instructions in each second asset management instruction subset belong to the same asset management objective. For example, the first first asset management instruction subset includes M1 second asset management instruction subsets, and the Nth first asset management instruction subset includes M... N A subset of second asset management instructions.

[0091] S430: Perform risk control calculations on each subset of second asset management instructions according to the preset target layer risk control rules to obtain a qualified subset of second asset management instructions.

[0092] It can be understood that the embodiments of the present application are to classify the asset management instruction set by portfolio first, then classify the asset management instruction set under the same portfolio according to the asset management target, and then based on each second asset management instruction subset and the first asset management instruction subset obtained after classification, perform multi-level risk trial calculation in the order of target-portfolio-global, so as to improve the accuracy of risk trial calculation.

[0093] Specifically, first, the second asset management instruction subset is subjected to target layer risk control trial calculation according to the preset target layer risk control rule. The preset target layer risk control rule needs to be set according to the provisions of the risk management clause corresponding to the investment target dimension, and the specific risk control rule can be set according to actual needs, which is not limited here.

[0094] In one embodiment, as shown in FIG. 4B, S430 includes the following S432-S434, wherein: Figure 5

[0095] S432: The asset management instructions in each second asset management instruction subset are subjected to netting calculation to obtain asset summary data corresponding to each second asset management instruction subset.

[0096] Among them, the asset management instructions in each second asset management instruction subset belong to the same asset management target, and the netting calculation represents that the asset management instructions in the second asset management instruction subset are calculated according to the instruction quantity and the instruction amount of the instruction direction to obtain the asset summary data. Specifically, the instruction direction may, for example, include buying or selling, and the corresponding calculation according to the instruction direction can be represented as "buy positive and sell negative", that is, the asset management instructions are calculated in the manner of "buy positive and sell negative" to obtain the instruction quantity and the instruction amount after the summary, which are taken as the asset summary data corresponding to the second asset management instruction subset.

[0097] S434: When the asset summary data corresponding to the second asset management instruction subset meets the risk control threshold set in the preset target layer risk control rule, the second asset management instruction subset is determined as a qualified second asset management instruction subset.

[0098] ​The preset target-layer risk control rules allow for setting corresponding risk control thresholds for asset aggregation data of different asset types, according to the provisions of risk management clauses. After obtaining the asset aggregation data, it can be determined whether the second asset management instruction subset is a qualified subset based on whether the asset aggregation data meets the corresponding set risk control thresholds. For example, if the asset aggregation data meets the corresponding set risk control thresholds, the second asset management instruction subset is determined to be a qualified subset; if the asset aggregation data does not meet the corresponding set risk control thresholds, the second asset management instruction subset is determined not to be a qualified subset. Specifically, determining that a certain second asset management instruction subset is a qualified subset means that all asset management instructions within that subset are qualified asset management instructions. Second asset management instruction subsets that fail to meet the preset target-layer risk control rules must have all their included asset management instructions marked with risk for subsequent identification.

[0099] It is understandable that whether the aggregated asset data meets the corresponding risk control threshold can be determined by whether the aggregated asset data is greater than or less than the corresponding risk control threshold, depending on the provisions of the actual risk management terms.

[0100] S440: Perform risk control calculations on each qualified subset of second asset management instructions according to the preset combination layer risk control rules to obtain a qualified subset of first asset management instructions.

[0101] Furthermore, after the risk control trial calculation corresponding to the preset target layer risk control rules, risk control trial calculations can be performed on each qualified subset of second asset management instructions according to the preset portfolio layer risk control rules. The preset portfolio layer risk control rules must be set in accordance with the provisions of the risk management clauses corresponding to the asset portfolio method dimension. Specific risk control rules can be set according to actual needs and are not limited here.

[0102] In one embodiment, such as Figure 6 As shown, S440 includes the following S442 to S444, wherein:

[0103] S442: Perform asset accumulation calculations on the asset management instructions in each qualified second asset management instruction subset of the same asset portfolio according to the order of instruction creation to obtain asset change data.

[0104] Specifically, the asset management instructions in each eligible second asset management instruction subset of the same asset portfolio mode can be arranged in a risk control calculation instruction list according to the instruction creation order, and then the risk control calculation instruction list is input into the risk control engine to sequentially calculate the cumulative asset movement data of each instruction on the asset portfolio mode. The asset movement data can be understood as representing the asset change of the asset management account before and after the actual execution of the asset management instruction according to the creation order, for example, the change of cumulative position and holding.

[0105] S444: When the asset movement data meets the preset portfolio layer risk control rule, all asset management instructions in each eligible second asset management instruction subset of the same asset portfolio mode are regarded as an eligible first asset management instruction subset. It can be understood that, consistent with the above-mentioned target layer risk control rule, the preset portfolio layer risk control rule can also include a risk control threshold set for asset movement data of different asset portfolio modes. Specifically, only when the asset movement data calculated by the risk control calculation instruction list of the same asset portfolio mode meets the preset portfolio layer risk control rule, the risk control calculation instruction list can be regarded as an eligible first asset management instruction subset. It can be understood that, in the case of containing multiple asset portfolio modes, the asset movement data of different asset portfolio modes can be judged sequentially or in parallel, and then the eligible first asset management instruction subset is obtained.

[0106] It can be understood that, consistent with the above-mentioned marking method, all asset management instructions in each eligible second asset management instruction subset of the same asset portfolio mode that does not pass the preset portfolio layer risk control rule need to be risk marked correspondingly for subsequent identification.

[0107] S450: Risk control trial calculation is performed on each eligible first asset management instruction subset according to the preset global layer risk control rule to obtain an eligible asset management instruction set.

[0108] Further, after the risk control trial calculation corresponding to the preset portfolio layer risk control rule, the risk control trial calculation is performed on each eligible first asset management instruction subset according to the preset global layer risk control rule. The preset global layer risk control rule needs to be set according to the provisions of the risk management clause corresponding to the asset management overall dimension, and the specific risk control rule can be set according to actual needs, which is not limited here.

[0109] Wherein, in the risk control trial corresponding to the preset global layer risk control rule, each qualified first asset management instruction sub-set needs to be combined into a summarized instruction "1" first, and then for this summarized instruction "1", a netting summary is performed based on the asset management target to obtain asset summary data corresponding to the global layer, which is used to verify the global layer and company layer risk terms, and finally a qualified asset management instruction set is obtained. Wherein, the way of netting summary here is consistent with the risk control trial corresponding to the target layer risk control rule described above, which will not be repeated.

[0110] In one embodiment, as shown in FIG. 6, the determination process of the preset assignment rule model adopted in S600 includes the following S620 to S660, wherein: Figure 7

[0111] S620: Determine at least one node when the asset management instruction is assigned, and the execution object set corresponding to each node. Wherein, the execution nodes and the number of nodes in different stages of the asset management instruction processing flow need to be determined according to the actual business architecture first, such as investment managers, risk control and approval managers, investment directors, transaction directors, transaction group leaders, and transaction officers, etc. Further, according to the objects that can be executed in the actual processing flow, the execution object set corresponding to each node is determined.

[0112] S640: Determine the assignment rule data of each execution object in the execution object set corresponding to each node. Specifically, according to the above determined execution object set corresponding to each node, and the business variety, i.e. range requirement, corresponding to each execution object, the assignment rule data of each execution object is established, i.e. each execution object can correspond to process what type of asset management instruction. For example, in the financial industry, the assignment rule data of each execution object includes but is not limited to: asset management product categories (fixed income, equity, others), asset management products (product A), transaction market, security category, quantity and price, scale ratio, business variety, role node handler, handler priority, etc.

[0113] S660: Based on the execution object set corresponding to each node and the assignment rule data of each execution object in the execution object set corresponding to each node, a preset assignment rule model is constructed. Specifically, the process of constructing the preset assignment rule model can be understood as corresponding the execution object set corresponding to each node and the assignment rule data of each execution object in the execution object set corresponding to each node to the instruction elements of the asset management instruction, so that after the asset management instruction is input into the preset assignment rule model, the asset management instruction in the execution object set corresponding to each node can be obtained.

[0114] The following is an example of Figure 4 , Figure 8 and Figure 9 ​For example, a detailed embodiment of the asset management data processing method of the present application is provided.

[0115] Specifically, the asset management data processing flow starts from the investment instruction generation module, which accesses the instructions in batches through the interactive interface according to the template and interacts with the investment instruction risk control module; the investment instruction risk control module, which interacts with the investment instruction generation module and the instruction pool management module, receives the instruction package of the investment instruction generation module, completes the risk control calculation and screening of the instruction package in the background, and outputs the qualified instruction set to the instruction management pool module; the instruction management pool module, which interacts with the investment instruction risk control module and the investment instruction execution module, receives the qualified instruction package, displays it to the interactive interface according to the principle of data isolation, and the user can forward the instructions in the instruction pool to the instruction execution module through the operation mode of claiming; the investment instruction execution module, which interacts with the instruction management pool module and the external module, provides the interactive interface for the user to claim the instructions in the instruction module to supplement, adjust and send the parameters of the instructions, and communicates the final transaction instructions to the external module through the investment instruction execution module; the external module mainly refers to external transaction service systems such as the counter system of securities companies, the inter-bank foreign exchange trading center and the counter system of futures companies, which are not described one by one.

[0116] Specifically, the following steps are included:

[0117] Step 1: According to different broker interface standards, different markets, different business types, and different business varieties, establish instruction element index set, modularly construct specific instruction creation template, investment manager enters instruction according to template element, and creates instruction set. Specifically, step 1 includes:

[0118] S1.1: According to the different interface specification requirements of the financial industry and various financial service platform vendors, collect instruction construction elements of different markets, different business types, and different business varieties, establish instruction element index set, such as: security code, security name, shareholder account number, investment type, instruction direction, order type, instruction price, instruction quantity, instruction amount, etc.;

[0119] S1.2: According to the instruction element index set, automatically generate corresponding instruction creation templates according to the instruction elements required by different markets, different business types, and different business varieties, such as: stock buying and selling template, fund buying and selling instruction template, bond buying and selling instruction template, bond repurchase instruction template, etc. The instruction elements and input rules of each template can be customized and automatically generated;

[0120] S1.3: Investment managers manually or in batches enter instructions according to instruction element templates, and then create instruction data sets.

[0121] Step 2: According to the regulatory regulations and company system, the risk control rule model is constructed, and the instruction package is collected according to the principle of first-in first-out and multi-layer rolling difference, and then it is checked by the risk control rule in turn, and the qualified instruction set is output.

[0122] Among them, step 2 specifically includes:

[0123] S2.1: After the investment instruction set of the asset management company is created, it is integrated into a instruction package by the system and enters the risk engine, and the number of instruction sets in a single instruction package is N+1, wherein N is the number of investment portfolios involved in the instruction package, and 1 is a set of instructions in the instruction package that pass the risk control trial calculation, which is based on investment targets for rolling difference, used for checking global layer and company layer risk terms.

[0124] S2.1.1: The data processing rules of "N" and "1" are similar, that is, the instructions of the same target are rolled up. Specifically, there are "M+1" instructions in each "N", and the M instructions are calculated by the same investment portfolio, the same target, and the net amount and net quantity according to "buy positive and sell negative", and form a converged sub-instruction group "1", so M is equal to the number of the same investment targets in the instruction of the investment portfolio. All sub-instructions "M" in the same investment portfolio plus the aggregated instruction group "1" that passes the risk control check form the instruction set of the portfolio;

[0125] S2.2: A plurality of instruction packages are checked according to the first-in first-out principle and follow the preset risk management terms. For instructions targeting the same investment target, a single instruction package follows the "target-portfolio-global" process and performs rolling risk trial calculation in multiple layers;

[0126] S2.2.1: Starting from the M instructions of the investment portfolio target dimension, the target-related risk control rule check is performed, the net amount and net quantity are calculated, and the increase and decrease are sequentially performed on the basis of the original investment portfolio, and then the changed data is compared with the set threshold. If the threshold is not touched, it is passed uniformly, otherwise it is marked as an alarm;

[0127] S2.2.2: The original instructions are arranged in order according to the order of creation after merging, and the instructions passing the calculation will accumulate the changes of the position and holding in the investment portfolio, and the instructions not passing the calculation will not affect the subsequent calculation instructions;

[0128] S2.2.3: If the instructions "1" aggregated at the portfolio layer and the global layer do not pass the risk control check, the portfolio or all instructions in the instruction package are marked;

[0129] S2.2.4: After the risk control calculation is completed, the instructions in the instruction package that are not marked enter the dispatching stage, and then do not affect the risk control calculation of the next instruction package.

[0130] Step 3: According to the different roles of different stages of the investment process, the different business varieties and ranges of each role are handled, the rule index data dictionary is established, and the specific allocation rule model is constructed, the rule index feature data of the investment instruction is collected in real time, and the instruction execution user result set is obtained through the training of the allocation rule model. Specifically, step 3 includes:

[0131] S3.1: According to the different roles of different stages of the investment process, the number of role nodes is determined, usually including investment managers, risk control and approval managers, investment directors, transaction directors, transaction group leaders, and traders, etc. According to the actual business architecture, a subset of role nodes is selected for construction;

[0132] S3.2: According to the subset of role nodes in step S3.1, and the role business variety and range requirements, a rule index data dictionary is established, including but not limited to: asset management product categories (fixed income, equity, others), asset management products (product A), trading markets, security categories, quantity and price, scale ratio, business variety, role node handlers, and handler priority, etc.

[0133] S3.3: According to expert experience and business rules, a specific allocation rule model is constructed based on the rule index data dictionary created in S3.2, the rule index data of the instruction passed in step two is collected in real time, and the allocation rule model is trained, and finally the execution user result set of different role nodes in different execution stages of the instruction is obtained;

[0134] Step 4: According to the execution user result set obtained in step 3, a plurality of instruction management pools are automatically constructed, each instruction management pool can only be processed by a specific user group, the instruction pool adopts an active taking execution mode, the taken instruction is isolated in execution authority, and the user can customize the grouping and execution index set when executing the instruction. After adjusting the execution index set such as grouping quantity and price, and ratio, the instruction can be processed in batches. Specifically, step 4 includes:

[0135] S4.1: On the basis of different role execution user groups, the allocated instructions are managed in a pool, that is, the business is uniformly managed without difference, and each user of the user group can process the investment instructions in the instruction pool. The instruction pool of different execution user result sets is processed by data isolation;

[0136] S4.2: The user takes an active taking execution mode for the instructions in the respective instruction pool, and the high-privilege role can also assign the taken instructions among specific users. The taken instruction is transferred from the instruction pool to the user's instruction processing module, which is isolated in execution authority. The instruction processing module of the user inherits the mechanism of the instruction pool, that is, it can uniformly process multiple types of instructions, or it can process specific types of instructions in the classified business module;

[0137] S4.3: In the user instruction processing module, the user can customize the instruction grouping and the execution index set. Specifically, the execution index set includes but is not limited to: grouping instruction quantity price, investment scale asset proportion, concentration degree deviation, quotation mode, quantitative order size, etc. After the user sets and adjusts the instruction subset, the user can perform batch instruction operation.

[0138] In the embodiment, by identifying different securities companies, markets, business types, business varieties, and interface protocols, investment instruction element index sets are established, instruction templates are constructed for specific business scenarios to create instruction sets, risk control rule models are constructed in accordance with regulatory regulations and company systems, multi-layer risk checking is performed on instruction packages, qualified instruction sets are output, and according to the different processing roles in the whole cycle of the investment process and the different business varieties and ranges that the roles should deal with, a distribution rule index set is established to generate a distribution rule model, and real-time rule index feature data of the qualified instruction set is collected. Through training of the distribution rule model, instruction execution user result sets are obtained, and multiple instruction management pools are automatically constructed to uniformly and centrally manage instructions of various business types. The instruction pool adopts an active collection execution mode. When the user executes instructions, the user can customize the grouping and execution index set, and after uniformly setting and adjusting the execution index set such as grouping quantity price and proportion, the instructions are processed in batches. This whole set of process solutions, after being implemented by the system, will provide flexible instruction template construction, multi-level risk control support in the whole cycle, multi-role instruction distribution rule model, and centralized, unified, and efficient instruction batch processing mode for the execution of asset management investment behavior, thereby improving the investment convenience, instruction execution success rate, and management efficiency. Compared with the existing whole cycle execution method of asset management investment behavior, the present application fully utilizes modular index construction, multi-level risk control processing, automatic rule distribution, and centralized batch processing to implement a whole set of system, and no longer uses scattered and redundant instruction templates and mechanical per-instruction risk control processing, nor is it limited to manual distribution and scattered instruction management. It is a more efficient and comprehensive whole cycle processing method for the investment process.

[0139] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the direction of the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, there is no strict order limitation for the execution of these steps, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0140] Based on the same inventive concept, the embodiments of the present application also provide an asset management data processing apparatus for implementing the asset management data processing method described above. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the above method, so the specific limitations in one or more asset management data processing apparatus embodiments provided below can refer to the limitations of the asset management data processing method described above, which will not be repeated here.

[0141] In one embodiment, as shown in Figure 10 An asset management data processing apparatus is provided, comprising: an instruction acquisition module 110, a risk control trial module 120, an execution object acquisition module 130, and an instruction distribution module 140, wherein:

[0142] The instruction acquisition module 110 is configured to acquire a set of asset management instructions in response to an asset management instruction configuration operation;

[0143] The risk control trial module 120 is configured to perform a risk control trial on the set of asset management instructions to obtain a set of qualified asset management instructions;

[0144] The execution object acquisition module 130 is configured to input the set of qualified asset management instructions into a preset distribution rule model to obtain a set of node execution objects corresponding to the set of qualified asset management instructions;

[0145] The instruction distribution module 140 is configured to distribute and display the set of qualified asset management instructions based on the set of node execution objects, so that the objects in the set of node execution objects claim and execute the displayed asset management instructions.

[0146] In this embodiment, in response to an asset management instruction configuration operation, a set of asset management instructions is acquired, and a risk control trial is performed on the set of asset management instructions to obtain a set of qualified asset management instructions. A risk control rule model is constructed according to regulatory laws and company systems, batch risk verification is performed on the instruction package, and the efficiency of instruction risk trial is improved. Further, the set of qualified asset management instructions is input into a preset distribution rule model to obtain a set of node execution objects corresponding to the set of qualified asset management instructions, and the set of qualified asset management instructions is distributed and displayed based on the set of node execution objects, so that the objects in the set of node execution objects claim and execute the displayed asset management instructions. Compared with the existing asset management investment behavior execution method, the asset management convenience, instruction execution success rate, and management efficiency are greatly improved.

[0147] In an embodiment, the risk control trial module 120 is further configured to classify the asset management instruction set according to asset portfolio manners to obtain at least one first asset management instruction subset; classify each first asset management instruction subset according to asset management targets to obtain at least one second asset management instruction subset; perform risk control trial on each second asset management instruction subset according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset; perform risk control trial on each qualified second asset management instruction subset according to a preset portfolio layer risk control rule to obtain a qualified first asset management instruction subset; and perform risk control trial on each qualified first asset management instruction subset according to a preset global layer risk control rule to obtain a qualified asset management instruction set.

[0148] In an embodiment, the risk control trial module 120 is further configured to perform netting on asset management instructions in each second asset management instruction subset to obtain asset summary data corresponding to each second asset management instruction subset; and determine each second asset management instruction subset as a qualified second asset management instruction subset when the asset summary data corresponding to the second asset management instruction subset satisfies a risk control threshold set in the preset target layer risk control rule.

[0149] In an embodiment, the risk control trial module 120 is further configured to perform asset accumulation trial on asset management instructions in each qualified second asset management instruction subset of the same asset portfolio manner according to instruction creation order to obtain asset change data; and determine all asset management instructions in each qualified second asset management instruction subset of the same asset portfolio manner as a qualified first asset management instruction subset when the asset change data satisfies the preset portfolio layer risk control rule.

[0150] In an embodiment, the asset management data processing apparatus further comprises:

[0151] The assignment rule model determination module is configured to determine at least one node when the asset management instruction is assigned, and an execution object set corresponding to each node; determine assignment rule data of each execution object in the execution object set corresponding to each node; and construct a preset assignment rule model based on the execution object set corresponding to each node and the assignment rule data of each execution object in the execution object set corresponding to each node.

[0152] In an embodiment, the asset management data processing apparatus further comprises:

[0153] The instruction assignment module is configured to assign, in response to an instruction assignment request initiated by a current node execution object, an asset management instruction corresponding to the instruction assignment request to an execution object corresponding to the instruction assignment request.

[0154] In an embodiment, the asset management data processing apparatus further comprises:

[0155] The instruction execution module is configured to automatically group and execute the asset management instructions claimed by the current node execution object according to preset grouping rules and execution indexes of the node execution object.

[0156] In one of the embodiments, the asset management data processing apparatus further comprises:

[0157] The instruction configuration module is configured to obtain an instruction type of the asset management instruction to be configured, and display an instruction configuration template corresponding to the instruction type, so that the business personnel perform instruction configuration operation based on the instruction configuration template; the instruction configuration template is constructed by instruction elements selected from a preset instruction element set according to the instruction type.

[0158] The modules in the asset management data processing apparatus can be realized by software, hardware and combinations thereof in whole or in part. The modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the 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 modules.

[0159] In one embodiment, a computer device, which can be a server, is provided, and an internal structure diagram of the computer device can be as shown in Figure 11 The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is 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, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store asset management instructions and data of node execution objects. 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 communicate with terminals outside through network connection. The computer program is executed by the processor to implement an asset management data processing method.

[0160] Those skilled in the art can understand that Figure 11 The 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.

[0161] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method described above when executing the computer program.

[0162] In one embodiment, a computer readable storage medium is provided, storing a computer program, the computer program implementing the steps of the method described above when executed by a processor.

[0163] In one embodiment, a computer program product is provided, comprising a computer program, the computer program implementing the steps of the method described above when executed by a processor.

[0164] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium and can include the processes of the above-mentioned embodiments when executed. Any reference to a memory, database or other medium used in the embodiments provided in the present application can include at least one of a non-volatile and volatile memory. The non-volatile memory can include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical storage, a high-density embedded non-volatile memory, a resistive memory (ReRAM), a magnetoresistive random access memory (MRAM), a ferroelectric memory (FRAM), a phase change memory (PCM), a graphene memory, etc. The volatile memory can include a random access memory (RAM) or an external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0165] Any technical features in the above embodiments can be combined, and for the sake of brevity, not all possible combinations are described above, however, as long as the combinations of technical features do not have contradictions, they shall be considered within the scope of the present disclosure.

[0166] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it shall not be understood as a limitation on the patent scope of the present application. It shall be pointed out that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, and these shall be within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. An asset management data processing method characterized by, The method comprises: in response to the asset management instruction configuration operation, obtaining an asset management instruction set; risk control trial calculation is carried out on the asset management instruction set to obtain a qualified asset management instruction set; the qualified asset management instruction set is input into a preset distribution rule model to obtain a node execution object set corresponding to the qualified asset management instruction set; based on the node execution object set, the qualified asset management instruction set is distributed and displayed, so that the objects in the node execution object set claim and execute the displayed asset management instruction.

2. The method of claim 1, wherein, The risk control trial calculation on the asset management instruction set to obtain a qualified asset management instruction set comprises: classify the asset management instruction set according to asset portfolio mode to obtain at least one first asset management instruction subset; classify each first asset management instruction subset according to asset management target to obtain at least one second asset management instruction subset; perform risk control trial calculation on each second asset management instruction subset according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset; perform risk control trial calculation on each qualified second asset management instruction subset according to a preset combination layer risk control rule to obtain a qualified first asset management instruction subset; perform risk control trial calculation on each qualified first asset management instruction subset according to a preset global layer risk control rule to obtain the qualified asset management instruction set.

3. The method of claim 2, wherein, The risk control trial calculation on each second asset management instruction subset according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset comprises: perform difference rolling-up on the asset management instructions in each second asset management instruction subset to obtain asset summary data corresponding to each second asset management instruction subset; when the asset summary data corresponding to the second asset management instruction subset satisfies the risk control threshold set in the preset target layer risk control rule, determine that the second asset management instruction subset is a qualified second asset management instruction subset.

4. The method of claim 2, wherein, The risk control trial calculation on each qualified second asset management instruction subset according to a preset combination layer risk control rule to obtain a qualified first asset management instruction subset comprises: perform asset accumulation trial calculation on the asset management instructions in each qualified second asset management instruction subset of the same asset portfolio mode according to instruction creation order to obtain asset variation data; when the asset variation data satisfies the preset combination layer risk control rule, all asset management instructions in each qualified second asset management instruction subset of the same asset portfolio mode are taken as a qualified first asset management instruction subset.

5. The method of claim 1, wherein, The determination process of the preset distribution rule model comprises: determine at least one node when the asset management instruction is distributed, and an execution object set corresponding to each node; determine distribution rule data of each execution object in the execution object set corresponding to each node; based on the execution object set corresponding to each node and the distribution rule data of each execution object in the execution object set corresponding to each node, a preset distribution rule model is constructed.

6. The method of claim 1, wherein, After the qualified asset management instruction set is distributed and displayed based on the node execution object set, the method further comprises: In response to a current node execution object initiated instruction assignment request, dispatching an asset management instruction corresponding to the instruction assignment request to an execution object corresponding to the instruction assignment request.

7. The method of claim 6, wherein, The method further comprises: According to a preset grouping rule and an execution index of the current node execution object, automatically grouping and executing the asset management instruction claimed by the current node execution object.

8. The method according to any one of claims 1 to 7, characterized in that, Before the asset management instruction set is obtained in response to the asset management instruction configuration operation, the method further comprises: Obtaining an instruction type of the asset management instruction to be configured, and displaying an instruction configuration template corresponding to the instruction type, so that a business personnel performs an instruction configuration operation based on the instruction configuration template; the instruction configuration template is constructed by selecting instruction elements from a preset instruction element set according to the instruction type.

9. An asset management data processing apparatus characterized by comprising: The device comprises: An instruction obtaining module configured to obtain an asset management instruction set in response to an asset management instruction configuration operation; A risk control trial module configured to perform risk control trial on the asset management instruction set to obtain a qualified asset management instruction set; An execution object obtaining module configured to input the qualified asset management instruction set into a preset dispatching rule model to obtain a node execution object set corresponding to the qualified asset management instruction set; An instruction dispatching module configured to dispatch the qualified asset management instruction set based on the node execution object set, so that an object in the node execution object set claims and executes the displayed asset management instruction.

10. The device of claim 9, wherein The risk control trial module is further configured to classify the asset management instruction set according to asset portfolio mode to obtain at least one first asset management instruction subset; classify each of the first asset management instruction subsets according to asset management target to obtain at least one second asset management instruction subset; perform risk control trial on each of the second asset management instruction subsets according to a preset target layer risk control rule to obtain a qualified second asset management instruction subset; perform risk control trial on each of the qualified second asset management instruction subsets according to a preset portfolio layer risk control rule to obtain a qualified first asset management instruction subset; and perform risk control trial on each of the qualified first asset management instruction subsets according to a preset global layer risk control rule to obtain the qualified asset management instruction set.

11. The device of claim 10, wherein The risk control trial module is further configured to perform netting and aggregation on the asset management instructions in each of the second asset management instruction subsets to obtain asset aggregation data corresponding to each of the second asset management instruction subsets; and determine that the second asset management instruction subset is a qualified second asset management instruction subset when the asset aggregation data corresponding to the second asset management instruction subset satisfies a risk control threshold set in the preset target layer risk control rule.

12. The device of claim 10, wherein The risk control trial module is further configured to perform asset accumulation trial on the asset management instructions in each eligible second asset management instruction subset of the same asset portfolio mode according to instruction creation order to obtain asset change data; and when the asset change data satisfies the preset portfolio layer risk control rule, all asset management instructions in each eligible second asset management instruction subset of the same asset portfolio mode are taken as an eligible first asset management instruction subset.

13. The apparatus of claim 9, wherein, The apparatus further includes: The assignment rule model determination module is configured to determine at least one node when asset management instructions are assigned, and a set of execution objects corresponding to each node; determine assignment rule data of each execution object in the set of execution objects corresponding to each node; and construct a preset assignment rule model based on the set of execution objects corresponding to each node and the assignment rule data of each execution object in the set of execution objects corresponding to each node.

14. The apparatus of claim 9, wherein, The apparatus further includes: The instruction assignment module is configured to assign, in response to an instruction assignment request initiated by a current node execution object, an asset management instruction corresponding to the instruction assignment request to an execution object corresponding to the instruction assignment request.

15. The apparatus of claim 14, wherein, The apparatus further includes: The instruction execution module is configured to automatically group and execute asset management instructions claimed by the current node execution object according to a preset grouping rule and an execution index of the current node execution object.

16. The apparatus of any one of claims 9 to 15, wherein, The apparatus further includes: The instruction configuration module is configured to obtain an instruction type of an asset management instruction to be configured, and display an instruction configuration template corresponding to the instruction type, so that a business personnel performs an instruction configuration operation based on the instruction configuration template; the instruction configuration template is constructed by instruction elements selected from a preset instruction element set according to the instruction type. 17.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-16. The processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 8.

18. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, implements the steps of the method of any one of claims 1 to 8.

19. A computer program product comprising a computer program, characterized in that, The computer program, when executed by the processor, implements the steps of the method of any one of claims 1 to 8.

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