Investment strategy optimization method, system, and storage medium

Abstract

The application provides an investment strategy optimization method, system and storage medium, and belongs to the technical field of optimization management, and specifically comprises the following steps: determining an investment strategy optimization target of an investment target based on investment target data of a registered user, determining an optimization method of an investment strategy of an unoptimized investment target based on the association between the investment strategy optimization target and the information type of the unoptimized investment target, and determining an optimized and updated investment target of the investment strategy when information data is updated by using the optimization method of the investment strategy of the unoptimized investment target and update data of the investment strategy optimization target corresponding to the registered user. Therefore, the timeliness of the push processing of the investment strategy is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of optimization management, and particularly relates to an investment strategy optimization method, system and storage medium. BACKGROUND

[0002] When a user performs stock investment processing, the user often needs to combine multidimensional data to generate an investment strategy, such as financial report data and investment suggestions, so that how an investment management platform pushes an investment suggestion to a registered user of the platform becomes a technical problem to be solved urgently.

[0003] The prior art needs to consider multiple dimensions of factors when generating an investment suggestion, such as user behavior, financial data of an investment target, and related information types. Specifically, in the invention patent application CN201910039032.5 “Intelligent recommendation method, device, storage medium and server for investment strategy”, user behavior and real-time market information are used to recommend an investment strategy of a user. However, the above technical solution has the following technical defects:

[0004] When recommending an investment strategy, the investment strategy needs to be associated with information news of an investment target. Therefore, when the number of investment targets associated with the information news is large and the information news is frequently updated, the update processing of the investment strategies of multiple investment targets needs to be performed simultaneously, which inevitably affects the update processing efficiency of the investment strategies of the investment targets, and further causes a push delay. Therefore, how to determine an update strategy of the investment strategies of different investment targets, reduce the data calculation processing pressure of a server, improve the generation and recommendation efficiency of the investment strategies, and avoid the occurrence of a push delay becomes a technical problem to be solved urgently.

[0005] To solve the above technical problems, the application provides an investment strategy optimization method, system and storage medium. SUMMARY

[0006] To achieve the object of the application, the application adopts the following technical solutions:

[0007] Specifically, the application provides an investment strategy optimization method, which specifically includes the following steps:

[0008] S1, based on push delay data of an investment strategy of an investment target, determining a delay influence condition of a registered user, and when the delay influence condition of the registered user is within a preset interval, proceeding to the next step.

[0009] S2, when the delay influence condition of the registered user is not within the preset interval, determining an investment target of the registered user, and proceeding to the next step. S3, based on the investment target of the registered user, determining an investment strategy of the registered user, and proceeding to the next step. S4, based on the investment strategy of the registered user, determining an investment suggestion of the registered user, and proceeding to the next step. S5, based on the investment suggestion of the registered user, pushing the investment suggestion to the registered user.S2 determines the investment strategy optimization target of the investment target based on the investment target data of the registered user, determines the optimization method of the investment strategy of the unoptimized investment target based on the association between the investment strategy optimization target and the information type of the unoptimized investment target.

[0010] S3 determines the investment target of the optimization update of the investment strategy at the time of the update of the information data by using the optimization method of the investment strategy of the unoptimized investment target and the update data of the investment strategy optimization target corresponding to the registered user.

[0011] The present application has the following beneficial effects:

[0012] The optimization method of the investment strategy of the unoptimized investment target is determined based on the association between the investment strategy optimization target and the information type of the unoptimized investment target, so that the optimization method of the investment strategy of the unoptimized investment target is determined based on the number of the investment strategy optimization target associated with the news of the same information type and the unoptimized investment target, which avoids the technical problem of the long update delay of the investment strategy caused by the update of the investment strategy of the unoptimized investment target with the news update when the number of the investment strategy optimization target is large, and ensures the determination of the differentiated update scheme of the unoptimized investment target when the number of the investment strategy optimization target is large, thereby further improving the timeliness of the update of the investment strategy of the investment target.

[0013] The investment target of the optimization update of the investment strategy at the time of the update of the information data is determined by using the optimization method of the investment strategy of the unoptimized investment target and the update data of the investment strategy optimization target corresponding to the registered user, which not only determines the investment target that needs to be updated based on the optimization method, but also further combines the update data of the investment strategy optimization target corresponding to each registered user, thereby avoiding the technical problem of the difficulty in meeting the timeliness requirement of the update of the investment strategy caused by the large number of registered users who have not performed the update of the investment strategy of the investment strategy optimization target for a long time.

[0014] Further, the investment strategy is determined based on the information type of the investment target and the investment user data of the investment target.

[0015] Further, the push processing delay data is determined based on the time length between the update time of the information type of the investment target and the time of the push processing of the investment strategy of the investment target to the registered user, wherein the time length between the update time of the information type of the investment target and the time of the push processing of the investment strategy of the investment target to the registered user is taken as the push processing delay.

[0016] Further, the information type is determined according to the associated industry type of the news information, and specifically, the associated industry type is determined according to the industry type corresponding to the associated word of the news information.

[0017] Further, the delay influence situation of the registered user is determined according to the push processing delay of the investment strategy of the investment target of the registered user.

[0018] Further, the delay influence situation of the registered user is determined according to the push processing delay of the investment strategy of the investment target of the registered user.

[0019] The push processing delay of the investment strategy of the investment target of the registered user is determined according to the delay influence situation of the registered user.

[0020] The push delay influence target of the investment target of the registered user is determined by using the push processing delay.

[0021] Whether the delay influence situation of the registered user is in the preset interval is determined according to the push delay influence target data of the investment target of each registered user.

[0022] Further, the method for determining the investment target of the investment strategy optimization update when the information data is updated is:

[0023] According to the update result of the information data, the title keyword of the updated information news is determined, the investment target associated with the updated information news is determined by using the title keyword, and the investment target is used as the associated investment target.

[0024] Based on the investment strategy optimization method of the unoptimized investment target in the associated investment target, the investment target that needs to be updated is determined as the updated investment target.

[0025] The investment strategy optimization target in the associated investment target is used as the associated optimization target, and the update interval length of the investment strategy optimization target of the registered user with the associated optimization target and the updated investment target data are used to determine the investment target of the investment strategy optimization update when the information data is updated.

[0026] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the investment strategy optimization method described above.

[0027] In a third aspect, the present application provides a computer storage medium, having stored thereon a computer program, which, when executed in a computer, causes the computer to perform the investment strategy optimization method.

[0028] Other features and advantages will be set forth in the descriptions that follow, and in part will be apparent from the description and the drawings, or can be learned by practice of the application as described in the written description.

[0029] In order to make the above objectives, features and advantages of the present application more apparent, the following preferred embodiments are specifically described with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0030] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings:

[0031] Figure 1 is a flowchart of an investment strategy optimization method;

[0032] Figure 2 is a flowchart of a method for determining whether the delay impact of a registered user is within a preset interval;

[0033] Figure 3 is a flowchart of a method for determining the investment strategy optimization target of an investment target;

[0034] Figure 4 is a flowchart of a method for determining the optimization method of an investment strategy of an unoptimized investment target;

[0035] Figure 5 is a framework diagram of a computer system. DETAILED DESCRIPTION

[0036] In order to make the above objectives, features and advantages of the present application more apparent, the following preferred embodiments are specifically described with reference to the accompanying drawings.

[0037] In the present application, by associating different investment targets with information news and the distribution of each registered user, when the information news is updated, the determination of the differentiated update processing strategy of the investment strategy of each investment target is carried out, thereby ensuring the timeliness of the update processing of the investment strategy of the investment target with a large number of registered users, and avoiding the update processing of the investment strategy of the investment target with a small number of registered users being too frequent, which affects the timeliness of the update processing of the investment strategy of the investment target with a large number of registered users.

[0038] Embodiment 1

[0039] As Figure 1 shown, the present application provides an investment strategy optimization method, specifically comprising:

[0040] S1 determines the delay influence of the registered user based on the push processing delay data of the investment strategy of the investment target, and when the delay influence of the registered user is within a preset interval, proceeds to the next step;

[0041] Further, the investment strategy is determined according to the information type of the investment target and the investment user data of the investment target.

[0042] Further, the push processing delay data is determined according to the time length between the information type update processing time of the investment target and the time when the investment strategy of the investment target is pushed to the registered user, wherein the time length between the information type update processing time of the investment target and the time when the investment strategy of the investment target is pushed to the registered user is taken as the push processing delay.

[0043] It should be noted that the information type is determined according to the associated industry type of the news information, specifically determined according to the industry type corresponding to the associated word of the news information. It can be understood that the associated industry type includes finance, medicine, energy, consumption, technology, agriculture, agricultural products, coal, oil, chemical industry, communication service, and cultural media.

[0044] Further, the delay influence of the registered user is determined according to the push processing delay of the investment strategy of the investment target of the registered user.

[0045] Optionally, the delay influence of the registered user is determined to be within a preset interval, specifically comprising:

[0046] determining the push processing delay of the investment strategy of the investment target of the registered user according to the delay influence of the registered user, and determining the push delay influence target of the investment target of the registered user by using the push processing delay.

[0047] determining the number of push delay impact targets in the investment target of each registered user, determining a delay impact user in the registered user based on the number of push delay impact targets;

[0048] determining whether the delay impact situation of the registered user is within the preset interval based on the delay impact user data.

[0049] It should be noted that the delay impact user is a registered user whose number of push delay impact targets does not meet the requirements, and in one possible embodiment, the registered user whose number of push delay impact targets is more than 2 or whose investment target is all push delay impact targets.

[0050] It can be understood that when the distribution of delay impact users in registered users is within the preset proportion interval, it is determined that the delay impact situation of the registered user is within the preset interval, and when the distribution of delay impact users in registered users is greater than the preset proportion threshold, a preset scheme is used to determine the update scheme of the investment strategy when the information data is updated, and in other cases, a second preset scheme is used to determine the update scheme of the investment strategy when the information data is updated.

[0051] S2 determines the investment strategy optimization target of the investment target based on the investment target data of the registered user, and determines the optimization method of the investment strategy of the unoptimized investment target based on the association between the investment strategy optimization target and the information type of the unoptimized investment target.

[0052] Specifically, the method for determining the investment strategy optimization target of the investment target is:

[0053] Based on the investment target data of the registered user, a registered user who has the investment target is determined and is taken as an investment target user.

[0054] The influence coefficient of the investment target is determined by using the reciprocal of the number of investment targets in each investment target user.

[0055] Based on the sum of the influence coefficients of each investment target user, it is determined whether the investment target is an investment strategy optimization target.

[0056] It can be understood that when the sum of the influence coefficients of each investment target user is less than a preset influence coefficient threshold, it is determined that the investment target is an investment strategy optimization target.

[0057] It can be understood that the unoptimized investment target is an investment target that does not belong to the investment strategy optimization target.

[0058] Specifically, as Figure 4As shown, the method for determining the optimization method of the investment strategy for the unoptimized investment objective is as follows:

[0059] Based on the enterprise data of the investment strategy optimization targets and the enterprise data of the non-optimized investment targets, determine the information type that relates the investment strategy optimization targets and the non-optimized investment targets;

[0060] Based on the associated information type, determine the investment strategy optimization target data and the unoptimized investment target data under the information type;

[0061] Based on the unoptimized investment target data, an optimization method for the investment strategy of the unoptimized investment target is determined.

[0062] It should be noted that the associated information type is the information type that belongs to both the investment strategy optimization target and the unoptimized investment target. Specifically, it is determined based on the business scope of the investment strategy optimization target and the unoptimized investment target. In one possible embodiment, if the investment strategy optimization target is a robotics company and the unoptimized investment target is a 5G communication equipment manufacturing company, then the associated information type is technology. Therefore, by using the business scope of the investment target to determine the information type corresponding to the enterprise, it is possible to determine the investment target data under different information types. For example, banks and securities companies both belong to investment targets under the financial information type.

[0063] It is understandable that when the number of investment strategy optimization targets under the information type is large, that is, when the proportion of investment strategy optimization targets under the information type does not meet the requirements, the update processing efficiency of the investment strategies of the investment strategy optimization targets is slow. In order to ensure the efficiency of the update processing of the investment targets under the information type, a preset scheme is adopted to determine the update scheme of the investment strategy when the information data is updated for all unoptimized investment targets under the information type. That is, when there is an update of related news, the update processing of the investment strategy of the unoptimized investment targets is carried out.

[0064] Furthermore, if the number of investment strategy optimization targets under the information type is not large, that is, when the proportion of investment strategy optimization targets under the information type meets the requirements, the number of investment strategy optimization targets under the information type is relatively small. Therefore, based on this, the optimization method of investment strategy for each unoptimized investment target is determined according to the number of unoptimized investment targets under the information type and the registered user data of the unoptimized investment targets.

[0065] It should be noted that if the number of unoptimized investment targets under the information type is small, i.e. less than the preset number, then the number of unoptimized investment targets under the information type is small, and the impact of real-time updates on the delay of the overall investment strategy update process is low. Therefore, based on this, for the unoptimized investment targets under the information type, a preset scheme is adopted to determine the investment strategy update scheme when the information data is updated. That is, when there is an update of related news, the investment strategy update process of the unoptimized investment targets is carried out.

[0066] Understandably, if the number of unoptimized investment targets under the aforementioned information type is not less than a preset number, the preset number serves as a constraint. Based on the number of registered users with the unoptimized investment targets, from largest to smallest, a preset number of unoptimized investment targets are selected. A preset scheme is used to determine the investment strategy update scheme for information data updates. That is, when related news is updated, the investment strategy update process for the unoptimized investment targets is performed. For the remaining unoptimized investment targets that do not belong to the preset number, a third preset scheme is used to determine the investment strategy update scheme for information data updates. That is, when two or more related news are updated, the investment strategy update process for the unoptimized investment targets is performed. The second preset scheme is that when five or more related news are updated, the investment strategy update process for the unoptimized investment targets is performed. Thus, by determining differentiated update schemes, the occurrence of investment strategy update delays is reduced.

[0067] S3 uses the optimization method of investment strategy for unoptimized investment objectives and the updated data of investment strategy optimization objectives for registered users to determine the updated investment objectives of investment strategies when information data is updated.

[0068] Specifically, the method for determining the investment objectives for optimizing and updating the investment strategy when the information data is updated is as follows:

[0069] Based on the update results of the information data, determine the title keywords of the updated news articles, use the title keywords to determine the investment targets associated with the updated news articles, and use them as associated investment targets;

[0070] An optimization method for investment strategies based on unoptimized investment objectives in related investment objectives is proposed, which identifies investment objectives that require updating their investment strategies and uses them as updated investment objectives.

[0071] The investment strategy optimization target in the associated investment target is taken as the associated optimization target. The investment strategy optimization update investment target when the information data is updated is determined by the update interval of the investment strategy optimization target of the registered users with associated optimization targets and the updated investment target data.

[0072] It is understood that the update interval is the time interval between the correlation optimization target and the last update time.

[0073] It should be noted that when the number of related investment targets is small, i.e. less than the preset threshold for the number of investment targets, the time required to update the investment strategies of the related investment targets is short. Therefore, on this basis, the investment strategies of all related investment targets are updated, thus determining that the number of related investment targets is small.

[0074] Additionally, it can be understood that when the number of related investment targets is not small, i.e. not less than the preset threshold for the number of investment targets, and when it is determined that the update interval of the related optimization targets does not meet the requirements, i.e. is greater than the preset threshold, then the investment strategy of the related optimization targets will be updated.

[0075] Furthermore, when the update interval of the associated optimization target meets the requirements, it is also necessary to further determine whether the total number of the updated investment target and the associated optimization target whose update interval does not meet the requirements in the composition of the associated investment target meets the requirements. If the requirements are met, the update matching of the investment strategy of the associated investment target of the updated news is relatively high. Therefore, it is only necessary to update the investment strategy of the updated investment target and the associated optimization target whose update interval does not meet the requirements.

[0076] If the requirements are not met, then registered users whose update interval for the investment strategy optimization target does not meet the requirements will be designated as delayed update users. For example, if the number of delayed update users exceeds a preset threshold, then the investment strategy of the associated optimization target will be updated, thereby ensuring the timeliness of the push processing of investment strategies for registered users with long update delays.

[0077] Example 2

[0078] Secondly, such as Figure 5 As shown, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described investment strategy optimization method when running the computer program.

[0079] Specifically, such as Figure 2As shown, the delay impact on registered users is determined to be within a preset range, specifically including:

[0080] Based on the impact of the delay on the registered users, determine the push processing delay of the investment strategy for the registered users' investment goals;

[0081] The impact of the push delay on the registered user's investment target is determined by utilizing the push processing delay.

[0082] By analyzing the impact of the push notification delay on the investment goals of each registered user, it is determined whether the impact of the delay on the registered user is within a preset range.

[0083] It is understood that the target of the push delay impact is the investment target whose push delay number does not meet the requirement when pushing the investment strategy is pushed. In one possible embodiment, the investment target with more than 30 push processing times when the push processing delay is greater than 1 hour is used as the push delay impact target.

[0084] It should be noted that the impact of the delay in pushing investment goals to each registered user is used to determine whether the delay impact on registered users is within a preset range. This specifically includes:

[0085] If the number of registered users whose push notifications are affected by the investment target is within a preset range, then the delay impact on the registered users is determined to be within a preset interval.

[0086] In one possible embodiment, if the number of registered users whose push notifications affect the investment target accounts for a percentage of all registered users between 0.3 and 0.7, then the delay impact on the registered users is determined to be within a preset range.

[0087] It is understandable that when the delay impact of the registered users is not within the preset range, if the number of registered users whose push delay impacts the investment target does not meet the requirements (i.e., the proportion of registered users whose push delay impacts the investment target is greater than 0.7% of all registered users), then the preset scheme is used to determine the update scheme of the investment strategy when updating the information data. If the number of registered users whose push delay impacts the investment target meets the requirements, then the second preset scheme is used to determine the update scheme of the investment strategy when updating the information data.

[0088] Specifically, such as Figure 3 As shown, the method for determining the investment strategy optimization objective of the investment objective is as follows:

[0089] Based on the investment target data of registered users, identify registered users who have the stated investment targets and designate them as investment target users;

[0090] By utilizing investment target data from various target users, it is determined whether the investment target is an investment strategy optimization target.

[0091] It should be noted that, by utilizing investment target data from various target users, it is determined whether the investment target is an investment strategy optimization target. Specifically, this includes:

[0092] Based on the investment target data among the investment target users, determine the number of investment targets among the investment target users, and based on the number of investment targets, determine the number of investment target users whose number of investment targets is less than the preset number;

[0093] The number of investment targets is less than the number of investment target users to determine whether the investment target is an investment strategy optimization target.

[0094] It should be noted that if the number of investment targets is less than the preset number, and the proportion of investment target users among all registered users is less than the preset proportion, then the investment target is determined to be an investment strategy optimization target.

[0095] In one possible embodiment, if the number of users with fewer than three investment targets accounts for less than 0.05% of all registered users, then the investment target is determined to be an investment strategy optimization target.

[0096] Example 3

[0097] Thirdly, the present invention provides a computer storage medium storing a computer program thereon, which, when executed in a computer, causes the computer to perform the aforementioned investment strategy optimization method.

[0098] Specifically, the method for determining the optimization method of the investment strategy for the unoptimized investment objective is as follows:

[0099] Based on the enterprise data of the investment strategy optimization targets and the enterprise data of the non-optimized investment targets, the number of investment strategy optimization targets and the number of non-optimized investment targets under each information type are determined;

[0100] The optimization multiple is determined by the ratio of the number of optimized investment strategy targets to the number of unoptimized investment targets under the aforementioned information type.

[0101] An optimization method for an investment strategy that uses the optimization multiple to determine the unoptimized investment objective.

[0102] It should be noted that when there are no unoptimized investment targets under the aforementioned information type, it is impossible to determine the optimization multiple, and therefore there is no need to determine the optimization method for the investment strategy of the unoptimized investment targets.

[0103] Furthermore, when the optimization multiple is greater than 2 times, the investment strategy update scheme for the unoptimized investment targets under the information type is determined by a preset scheme when the information data is updated. That is, when there is an update of related news, the investment strategy update process for the unoptimized investment targets is carried out.

[0104] Additionally, it can be understood that when the optimization multiple is between 1 and 2 times, the preset quantity value is used as a constraint. Based on the number of registered users with unoptimized investment targets, from largest to smallest, a preset quantity of unoptimized investment targets are selected. The preset scheme is used to determine the investment strategy update scheme when the information data is updated. That is, when there is an update of related news, the investment strategy update process for the unoptimized investment targets is performed. The remaining unoptimized investment targets that do not belong to the preset quantity are determined using a third preset scheme.

[0105] The first preset scheme for updating investment strategies when information data is updated is to update the investment strategy for the unoptimized investment objective when two or more related news items are updated. The second preset scheme is to update the investment strategy for the unoptimized investment objective when five or more related news items are updated. By determining the differentiated update scheme, the occurrence of investment strategy update delays is reduced.

[0106] It is understood that the associated news is news related to the business scope of the investment target. Specifically, it is determined based on the correlation between the product keywords of the company corresponding to the investment target and the title keywords of the news. When the product keywords and the title keywords overlap or have a corresponding one-to-one relationship, the news is determined to be associated news. For example, technology and robots, 5G base stations have a preset one-to-one correspondence, which can be determined by a preset keyword mapping library.

[0107] Optionally, the method for determining the investment objective of the investment strategy optimization update when the information data is updated is as follows:

[0108] Based on the update results of the information data, determine the title keywords of the updated news articles, use the title keywords to determine the investment targets associated with the updated news articles, and use them as associated investment targets;

[0109] An optimization method for investment strategies based on unoptimized investment targets in associated investment targets involves identifying investment targets that require strategy updates and designating them as updated investment targets. Optimized investment strategy targets within the associated investment targets are then designated as associated optimization targets. The update interval for the associated optimization targets of registered users is determined using the updated data of the associated optimization targets of registered users.

[0110] By utilizing the update interval of the associated optimization target of registered users, the update interval of the investment strategy optimization target, and the updated investment target data, the investment target of the investment strategy optimization update when the information data is updated is determined.

[0111] It should be noted that when the number of related investment targets is small, i.e. less than the preset threshold for the number of investment targets, the time required to update the investment strategies of the related investment targets is short. Therefore, the investment strategies of all related investment targets are updated based on this. When there are fewer than 6 related investment targets, it is determined that the number of related investment targets is small.

[0112] Additionally, it can be understood that when the number of related investment targets is not small, i.e. not less than the preset threshold for the number of investment targets, and when it is determined that the update interval of the related optimization targets does not meet the requirements, i.e., it is greater than the preset time threshold, that is, greater than 1 day, then the investment strategy of the related optimization targets will be updated.

[0113] Furthermore, when the update interval of the aforementioned related optimization target meets the requirements, it is also necessary to further determine whether the total number of the updated investment target and the related optimization target whose update interval does not meet the requirements in the composition of the related investment targets meets the requirements. If the requirements are met, that is, when the proportion of the updated investment target and the related optimization target whose update interval does not meet the requirements to the related investment targets is greater than 70%, the update matching of the investment strategy of the updated news related investment target has met the requirements. Therefore, it is only necessary to update the investment strategy of the updated investment target and the related optimization target whose update interval does not meet the requirements.

[0114] Furthermore, it should be noted that when the total number of related optimization targets whose updated investment targets and update intervals do not meet the requirements is insufficient, the investment strategies of the unoptimized investment targets (excluding the updated investment targets) among the related investment targets will be further updated. If the proportion of unoptimized investment targets among the related investment targets is less than 70%, the investment strategies of all unoptimized investment targets and related optimization targets whose update intervals do not meet the requirements will be updated, and the investment strategies of the related optimization targets will also be updated.

[0115] It is understandable that if the number of unoptimized investment targets in the associated investment targets accounts for no less than 70%, then the investment strategy update processing for the 70% of associated investment targets will be carried out by selecting the 70% of associated investment targets from the largest to the smallest number of registered users of the unoptimized investment targets, excluding the number of associated optimized targets whose update interval does not meet the requirements, and then updating the investment strategy for the unoptimized investment targets.

[0116] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0117] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0118] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. An investment strategy optimization method, characterized in that, Specifically, it includes: Based on the delay data of the push processing of investment strategies for investment targets, determine the delay impact on registered users. When the delay impact on registered users is within a preset range, proceed to the next step. Based on the investment goal data of registered users, the investment strategy optimization target of the investment target is determined. Based on the correlation between the information types of the investment strategy optimization target and the unoptimized investment target, the optimization method of the investment strategy for the unoptimized investment target is determined. By utilizing the optimization method of investment strategies with unoptimized investment objectives and the updated data of investment strategy optimization objectives for registered users, the investment objectives for optimizing and updating investment strategies are determined when information data is updated. The method for determining the optimization method of the investment strategy for the unoptimized investment objective is as follows: Based on the enterprise data of the investment strategy optimization targets and the enterprise data of the non-optimized investment targets, determine the information type that relates the investment strategy optimization targets and the non-optimized investment targets; Based on the associated information type, determine the investment strategy optimization target data and the unoptimized investment target data under the information type; Based on the unoptimized investment target data, an optimization method for the investment strategy of the unoptimized investment target is determined; The method for determining the investment objectives for optimizing the investment strategy when the information data is updated is as follows: Based on the update results of the information data, determine the title keywords of the updated news articles, use the title keywords to determine the investment targets associated with the updated news articles, and use them as associated investment targets; An optimization method for investment strategies based on unoptimized investment objectives in related investment objectives is proposed, which identifies investment objectives that require updating their investment strategies and uses them as updated investment objectives. The investment strategy optimization target in the associated investment target is taken as the associated optimization target. The investment strategy optimization update investment target when the information data is updated is determined by the update interval of the investment strategy optimization target of the registered users with associated optimization targets and the updated investment target data.

2. The investment strategy optimization method as described in claim 1, characterized in that, The investment strategy is determined based on the information type of the investment target and the investment user data of the investment target.

3. The investment strategy optimization method as described in claim 1, characterized in that, The push processing delay data is determined based on the time between the information type update processing time of the investment target and the time when the investment target's investment strategy is pushed to the registered user.

4. The investment strategy optimization method as described in claim 1, characterized in that, The information type is determined based on the industry type associated with the news information.

5. The investment strategy optimization method as described in claim 1, characterized in that, Determine that the latency impact on registered users is within a preset range, specifically including: Based on the impact of the delay on the registered users, determine the push processing delay of the investment strategy for the registered users' investment goals; The impact of the push delay on the registered user's investment target is determined by utilizing the push processing delay. By analyzing the impact of the push notification delay on the investment goals of each registered user, it is determined whether the impact of the delay on the registered user is within a preset range.

6. The investment strategy optimization method as described in claim 5, characterized in that, The push delay impacts investment targets where the number of push delays during investment strategy push processing does not meet the required number.

7. The investment strategy optimization method as described in claim 1, characterized in that, The method for determining the investment strategy optimization objective of the aforementioned investment objective is as follows: Based on the investment target data of registered users, identify registered users who have the stated investment targets and designate them as investment target users; By utilizing investment target data from various target users, it is determined whether the investment target is an investment strategy optimization target.

8. A computer system, comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes an investment strategy optimization method according to any one of claims 1-7.

9. A computer storage medium having a computer program stored thereon, wherein when the computer program is executed in a computer, it is characterized in that, The computer is instructed to execute an investment strategy optimization method as described in any one of claims 1-7.

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