Investment strategy optimization method and system and storage medium
By optimizing the association of information types related to investment targets and addressing the impact of delays in registered users, and by adopting a differentiated update strategy, the problem of delayed investment strategy pushes has been solved, thereby improving the efficiency and timeliness of investment strategy updates.
Patent Information
- Application Number
- CN202511565583.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-30
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2045-10-30
AI Technical Summary
Existing technologies face challenges in recommending multi-dimensional investment strategies due to the large number of investment targets and frequent news updates, leading to delays in push notifications and impacting the efficiency of investment strategy updates.
By determining the impact of delays on registered users, optimizing the information type association for investment targets, adopting a differentiated update strategy, optimizing targets based on registered users' investment strategies, and optimizing the update method for unoptimized investment targets, the push delay is reduced.
It avoids delays in updating investment strategies when news and information are updated, improves the timeliness and differentiated processing capabilities of investment strategy updates, and meets the investment goal update needs of different registered users.
Smart Images

Figure CN121032677A_ABST
Abstract
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 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: 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 information news is large and the information news is updated frequently, the update of the investment strategy of the investment target needs to be performed simultaneously, which inevitably affects the update efficiency of the investment strategy of the investment target, and further causes a push delay. Therefore, how to determine an update strategy of the investment strategy of different investment targets, reduce the data calculation pressure of the server, improve the generation and recommendation efficiency of the investment strategy, and avoid the occurrence of a push delay become technical problems to be solved urgently.
[0004] To solve the above technical problems, the application provides an investment strategy optimization method, system and storage medium. SUMMARY
[0005] To achieve the object of the application, the application adopts the following technical solutions: Specifically, the application provides an investment strategy optimization method, which specifically includes the following steps: 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; S2, based on investment target data of the registered user, determining an investment strategy optimization target of the investment target, and based on an association condition between the investment strategy optimization target and an information type of an unoptimized investment target, determining an optimization method of the investment strategy of the unoptimized investment target; The optimization method of the investment strategy of the non-optimized investment target is determined according to the update data of the investment strategy optimization target corresponding to the registered user, and the investment target of the optimization update of the investment strategy at the time of the update of the information data is determined.
[0006] The present application has the following beneficial effects: Based on the association of the investment strategy optimization target and the information type of the non-optimized investment target, the optimization method of the investment strategy of the non-optimized investment target is determined, so that the optimization method of the investment strategy of the non-optimized investment target is determined based on the number of investment strategy optimization targets and non-optimized investment targets associated with the same information type news, which avoids the technical problem of long update processing delay of the investment strategy caused by the update of the investment strategy of the non-optimized investment target with the news, and ensures the determination of the differentiated update scheme of the non-optimized investment target in the case of a large number of investment strategy optimization targets, further improving the timeliness of the update processing of the investment strategy of the investment target.
[0007] The optimization method of the investment strategy of the non-optimized investment target is determined according to the update data of the investment strategy optimization target corresponding to the registered user, and the investment target of the optimization update of the investment strategy at the time of the update of the information data is determined.
[0008] Further, the investment strategy is determined according to the information type of the investment target and the investment user data of the investment target.
[0009] 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 of the push processing of the investment strategy of the investment target to the registered user, wherein the time length between the information type update processing time 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.
[0010] Further, 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.
[0011] Further, the delay impact situation of the registered user is determined according to a push processing delay of the investment strategy of the investment target of the registered user.
[0012] Further, the delay impact situation of the registered user is determined according to a push processing delay of the investment strategy of the investment target of the registered user. Further, the delay impact situation of the registered user is determined according to a push processing delay of the investment strategy of the investment target of the registered user. Further, the delay impact situation of the registered user is determined according to a push processing delay of the investment strategy of the investment target of the registered user. Further, the delay impact situation of the registered user is determined according to a push processing delay of the investment strategy of the investment target of the registered user.
[0013] Further, the method for determining the investment target of the optimization update of the investment strategy when the information data is updated is: According to the update result of the information data, a 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 taken as an associated investment target. Based on the optimization method of the investment strategy of the unoptimized investment target in the associated investment target, an investment target needing to update the investment strategy is determined, and the investment target is taken as an updated investment target. The investment strategy optimization target in the associated investment target is taken as an associated optimization target, 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 determined, and the investment target of the optimization update of the investment strategy when the information data is updated is determined.
[0014] 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.
[0015] In a third aspect, the present application provides a computer storage medium having a computer program stored thereon, wherein when the computer program is executed in a computer, the computer is caused to perform the investment strategy optimization method described above.
[0016] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description or can be learned by practice of the application, the purposes and other advantages of the present application will be achieved and obtained by the structures particularly pointed out in the description and the accompanying drawings.
[0017] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described, and the accompanying drawings are described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS
[0018] 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: Figure 1 is a flowchart of a method for investment strategy optimization; Figure 2 is a flowchart of a method for determining whether the delay impact of a registered user is within a preset interval; Figure 3 is a flowchart of a method for determining the investment strategy optimization target of an investment target; Figure 4 is a flowchart of a method for determining the optimization method of the investment strategy of an unoptimized investment target; Figure 5 is a framework diagram of a computer system. DETAILED DESCRIPTION
[0019] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the specification.
[0020] In the present application, by determining the association of different investment targets with information news and the distribution of each registered user, when the information news is updated, the differentiated update processing strategy of the investment strategy of each investment target is determined, so as to ensure the timeliness of the update processing of the investment strategy of the investment target with a large number of registered users, and also avoid 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.
[0021] Embodiment 1 As shown in Figure 1 The present application provides an investment strategy optimization method, which specifically comprises: S1, based on the push processing delay data of the investment strategy of the investment target, determining the delay impact of the registered user, and when the delay impact of the registered user is within a preset interval, proceeding to the next step; Further, the investment strategy is determined according to the information type of the investment target and the investment user data of the investment target.
[0022] Further, the push processing delay data is determined according to a time length between an information type updating processing time of the investment target and a time when the investment strategy of the investment target is pushed to the registered user.
[0023] It should be noted that 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. 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.
[0024] Further, the delay impact 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.
[0025] Optionally, the delay impact situation of the registered user is within a preset range, and specifically includes: The push processing delay of the investment strategy of the investment target of the registered user is determined according to the delay impact situation of the registered user, and the push delay impact target of the investment target of the registered user is determined by using the push processing delay. The number of push delay impact targets in the investment target of each registered user is determined according to the push delay impact target data of the investment target of each registered user, and the delay impact user in the registered user is determined based on the number of push delay impact targets. It is determined whether the delay impact situation of the registered user is within a preset range based on the delay impact user data.
[0026] 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. In one possible embodiment, the registered user is a registered user whose number of push delay impact targets is more than 2 or all investment targets are push delay impact targets.
[0027] It can be understood that when the distribution of the delay impact user in the registered user is within a preset proportion range, it is determined that the delay impact situation of the registered user is within a preset range. When the distribution of the delay impact user in the registered user is greater than a preset proportion threshold, a preset scheme is used to determine the update scheme of the investment strategy when the information data is updated. Otherwise, a second preset scheme is used to determine the update scheme of the investment strategy when the information data is updated.
[0028] S2 determines an investment strategy optimization target of the investment target based on the investment target data of the registered user, determines an optimization method of the investment strategy of the unoptimized investment target based on a correlation of the information type of the investment strategy optimization target and the unoptimized investment target. Specifically, the method for determining the investment strategy optimization target of the investment target is: Based on the investment target data of the registered user, the registered user with the investment target is determined as an investment target user. The influence coefficient of the investment target is determined by using the reciprocal of the number of investment targets in each investment target user. According to the sum of the influence coefficients of each investment target user, it is determined whether the investment target is an investment strategy optimization target.
[0029] 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, the investment target is determined as an investment strategy optimization target.
[0030] It can be understood that the unoptimized investment target is an investment target that does not belong to the investment strategy optimization target.
[0031] Specifically, as shown in Figure 4 The method for determining the optimization method of the investment strategy of the unoptimized investment target is: Based on the enterprise data of the investment strategy optimization target and the enterprise data of the unoptimized investment target, the information type of the correlation between the investment strategy optimization target and the unoptimized investment target is determined. According to the information type of the correlation, investment strategy optimization target data and unoptimized investment target data under the information type are determined. Based on the unoptimized investment target data, the optimization method of the investment strategy of the unoptimized investment target is determined.
[0032] It should be noted that the information type of the correlation is the information type of the correlation between the investment strategy optimization target and the unoptimized investment target. Specifically, it is determined according to 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 robot company and the unoptimized investment target is a 5G communication equipment manufacturing company, the information type of the correlation between the two is technology. Therefore, the business scope of the investment target is used to determine the information type corresponding to the enterprise, and the investment target data under different information types can be determined, for example, banks and securities companies are investment targets under the information type of the financial industry.
[0033] It can be understood that when the number of investment strategy optimization targets under the information type is large, that is, the proportion of the number of investment strategy optimization targets under the information type does not meet the requirements, due to the slow updating processing efficiency of the investment strategy of the investment strategy optimization target, in order to ensure the updating processing efficiency of the investment target under the information type, the preset scheme is used to determine the updating scheme of the investment strategy when the information data is updated for the unoptimized investment target under the information type, that is, when the associated information news is updated, the updating processing of the investment strategy of the unoptimized investment target is performed. Further, if the number of investment strategy optimization targets under the information type is not large, that is, the proportion of the number of investment strategy optimization targets under the information type meets the requirements, at this time, the number of investment strategy optimization targets under the information type is small, and therefore, according to the number of unoptimized investment targets under the information type and the registered user data of the unoptimized investment target, the optimization method of the investment strategy of each unoptimized investment target is determined.
[0034] It should be noted that if the number of unoptimized investment targets under the information type is small, that is, less than a preset number value, at this time, the number of unoptimized investment targets under the information type is small, and even if real-time updating is performed, the influence degree of the updating processing delay of the overall investment strategy is low, and therefore, for the unoptimized investment target under the information type, the preset scheme is used to determine the updating scheme of the investment strategy when the information data is updated, that is, when the associated information news is updated, the updating processing of the investment strategy of the unoptimized investment target is performed. It can be understood that if the number of unoptimized investment targets under the information type is not less than a preset number value, the preset number value is used as a constraint condition, the number of registered users of the unoptimized investment target is selected from large to small, and a preset number value of unoptimized investment targets is selected to use the preset scheme to determine the updating scheme of the investment strategy when the information data is updated, that is, when the associated information news is updated, the updating processing of the investment strategy of the unoptimized investment target is performed, and the unoptimized investment target not belonging to the preset number value, that is, the remaining unoptimized investment target, uses a third preset scheme to determine the updating scheme of the investment strategy when the information data is updated, that is, when two or more associated information news is updated, the updating processing of the investment strategy of the unoptimized investment target is performed, and the second preset scheme is used when five or more associated information news is updated, that is, the updating processing of the investment strategy of the unoptimized investment target is performed, and further, through the determination of the differentiated updating scheme, the occurrence of the updating delay of the investment strategy is reduced.
[0035] The investment strategy optimization method of the investment strategy with the non-optimized investment target, the update data of the investment strategy optimization target of the registered user, and the investment target of the investment strategy optimization update of the information data update.
[0036] Specifically, the method for determining the investment target of the investment strategy optimization update of the information data update is: 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. Based on the investment strategy optimization method of the non-optimized investment target in the associated investment target, the investment target that needs to be updated is determined, and the investment target is used as the updated investment target. The investment strategy optimization target in the associated investment target is used as the associated optimization target, the update interval length of the investment strategy optimization target of the registered user with the associated optimization target, and the update investment target data are used to determine the investment target of the investment strategy optimization update of the information data update.
[0037] It can be understood that the update interval length is the interval length of the associated optimization target from the last update time.
[0038] It should be noted that when the number of associated investment targets is small, i.e., less than a preset investment target number threshold, the time consumption of the investment strategy update processing of the associated investment target is short, and therefore the investment strategy of all associated investment targets is updated, and it is determined that the number of associated investment targets is small.
[0039] In addition, it can be understood that when the number of associated investment targets is not small, i.e., not less than a preset investment target number threshold, when the update interval length of the associated optimization target does not meet the requirement, i.e., greater than a preset time length threshold, the investment strategy update processing of the associated optimization target is performed. Further, when the update interval length of the associated optimization target meets the requirement, it is further determined whether the total number of the associated optimization target that does not meet the requirement of the update investment target and the update interval length meets the requirement in the composition of the associated investment target. If it meets the requirement, the update matching of the investment strategy of the associated investment target of the updated information news is high, and therefore only the investment strategy update processing of the associated optimization target that does not meet the requirement of the update investment target and the update interval length is performed.
[0040] 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.
[0041] Example 2 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.
[0042] Specifically, such as Figure 2 As shown, the delay impact on registered users is determined to be 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.
[0043] 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.
[0044] 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: 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.
[0045] 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.
[0046] It can be understood that when the delay impact condition of the registered user is not in the preset interval, if the number of registered users of the push delay impact target in the investment target does not meet the requirement, that is, the proportion of the number of registered users of the push delay impact target in all registered users in the investment target is more than 0.7, a preset scheme is used to determine the update scheme of the investment strategy of the information data update, and if the number of registered users of the push delay impact target in the investment target meets the requirement, a second preset scheme is used to determine the update scheme of the investment strategy of the information data update.
[0047] Specifically, as shown in Figure 3 The method for determining the investment strategy optimization target of the investment target is: Based on the investment target data of the registered user, the registered user of the investment target is determined, and the registered user is used as an investment target user; Using the investment target data in each investment target user, it is determined whether the investment target is an investment strategy optimization target.
[0048] It should be noted that using the investment target data in each investment target user, it is determined whether the investment target is an investment strategy optimization target, which specifically includes: Using the investment target data in the investment target user, the number of investment targets in the investment target user is determined, and the number of investment targets is used to determine the number of investment target users whose number of investment targets is less than a preset number; According to the number of investment target users whose number of investment targets is less than a preset number, it is determined whether the investment target is an investment strategy optimization target.
[0049] It should be noted that if the proportion of the number of investment target users whose number of investment targets is less than a preset number in all registered users is less than a preset proportion, the investment target is determined to be an investment strategy optimization target.
[0050] In one possible embodiment, if the proportion of the number of investment target users whose number of investment targets is less than 3 in all registered users is less than 0.05, the investment target is determined to be an investment strategy optimization target.
[0051] Embodiment 3 In a third aspect, the present application provides a computer storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the above-mentioned investment strategy optimization method.
[0052] Specifically, the method for determining the optimization method of the investment strategy of the unoptimized investment target is: determining the number of investment strategy optimization targets and the number of non-optimized investment targets under each information type based on the enterprise data of the investment strategy optimization targets and the enterprise data of the non-optimized investment targets; determining the optimization number multiple based on the ratio of the number of investment strategy optimization targets and the number of non-optimized investment targets under the information type; determining the optimization method of the investment strategy of the non-optimized investment targets by using the optimization number multiple.
[0053] It should be noted that when there is no non-optimized investment target under the information type, the determination of the optimization number multiple cannot be performed, and therefore the determination of the optimization method of the investment strategy of the non-optimized investment target is also not necessary.
[0054] Further, when the optimization number multiple is greater than 2 times, the update scheme of the investment strategy at the time of information data update is determined by using a preset scheme for the non-optimized investment targets under the information type, that is, when the associated information news is updated, the update processing of the investment strategy of the non-optimized investment target is performed. In addition, it can be understood that when the optimization number multiple is between 1 times and 2 times, the update scheme of the investment strategy at the time of information data update is determined by using the preset number of values as a constraint condition, and the non-optimized investment targets are selected according to the number of registered users of the non-optimized investment targets from large to small, and the update scheme of the investment strategy at the time of information data update is determined by using a preset scheme for the non-optimized investment targets, that is, when the associated information news is updated, the update processing of the investment strategy of the non-optimized investment target is performed, and the non-optimized investment targets that do not belong to the preset number of values, that is, the remaining non-optimized investment targets, are determined by using a third preset scheme.
[0055] The update scheme of the investment strategy at the time of information data update is determined by using a preset scheme for the non-optimized investment targets under the information type, that is, when two or more associated information news is updated, the update processing of the investment strategy of the non-optimized investment target is performed, and the second preset scheme is determined by using a preset scheme for the non-optimized investment targets under the information type, that is, when five or more associated information news is updated, the update processing of the investment strategy of the non-optimized investment target is performed, and further, by determining the differentiated update scheme, the occurrence of the update delay of the investment strategy is reduced.
[0056] It can be understood that the related information news is information news related to the business scope of the investment target. Specifically, the association between the product keywords of the company corresponding to the investment target and the title keywords of the information news is determined. When the product keywords and the title keywords coincide or have a one-to-one correspondence, the information news is determined to be related information news. Specifically, for example, there is a preset one-to-one correspondence between technology and robots, 5G base stations, which can be determined by a preset keyword mapping library.
[0057] Optionally, the method for determining the investment target of the investment strategy optimization update when the information data is updated comprises: According to the update result of the information data, the title keywords of the updated information news are determined, the investment target associated with the updated information news is determined by using the title keywords, and the investment target is used as the associated investment target. Based on the investment strategy optimization method of the unoptimized investment target in the associated investment target, the investment target that needs to update the investment strategy is determined as the updated investment target, the investment strategy optimization target in the associated investment target is used as the associated optimization target, the update data of the associated optimization target of the registered user is registered, and the update interval of the associated optimization target of the registered user is determined. The update interval of the associated optimization target of the registered user, the update interval of the investment strategy 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.
[0058] It should be noted that when the number of associated investment targets is small, that is, less than the preset investment target number threshold, the time consumption of the investment strategy update processing of the associated investment target is short, and therefore the investment strategies of all associated investment targets are updated. When there are less than 6, it is determined that the number of associated investment targets is small.
[0059] In addition, it can be understood that when the number of associated investment targets is not small, that is, not less than the preset investment target number threshold, when the update interval of the associated optimization target does not meet the requirement, that is, greater than the preset time threshold, that is, greater than 1 day, the investment strategy update processing of the associated optimization target is performed. Further, when the update interval length of the associated optimization target meets the requirement, it is further needed to determine whether the total number of the updated investment target and the associated optimization target whose update interval length does not meet the requirement meets the requirement in the composition of the associated investment target. If the total number of the updated investment target and the associated optimization target whose update interval length does not meet the requirement is greater than 70% of the associated investment target, the update matching of the investment strategy of the associated investment target of the updated information news meets the requirement, and thus only the investment strategy of the updated investment target and the associated optimization target whose update interval length does not meet the requirement needs to be updated.
[0060] In addition, it is needed to be explained that when the total number of the updated investment target and the associated optimization target whose update interval length does not meet the requirement does not meet the requirement, the investment strategy of the unoptimized investment target in the associated investment target except the updated investment target is further updated. If the number of the unoptimized investment target in the associated investment target is less than 70%, the investment strategy of the unoptimized investment target in all the associated investment target and the associated optimization target whose update interval length does not meet the requirement is updated, and the investment strategy of the associated optimization target is updated.
[0061] It can be understood that if the number of the unoptimized investment target in the associated investment target is not less than 70%, the investment strategy of the investment target of 70% of the number of the associated investment target is updated. Specifically, the unoptimized investment target of 70% of the number of the associated investment target except the number of the associated optimization target whose update interval length does not meet the requirement is selected according to the number of the registered user of the unoptimized investment target from large to small, and the investment strategy of the unoptimized investment target is updated.
[0062] Each of the embodiments in the specification is described in a progressive manner, and the same and similar parts of each of the embodiments can be referred to each other. Each of the embodiments focuses on the difference from other embodiments. Especially, the device, the equipment, and the nonvolatile computer storage medium embodiment are basically similar to the method embodiment, and thus the description is relatively simple, and the relevant part can be referred to the part of the method embodiment.
[0063] The above describes the specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be executed in different order from the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.
[0064] The above merely provides one or more embodiments of the present specification and is not intended to limit the present specification. One or more embodiments of the present specification can have various changes and modifications for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of claims of the present 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 methods 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.
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. The investment strategy optimization method as described in claim 1, characterized in that, 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.
9. 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 1-8.
10. 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 1-8.
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