CN111815456A - Automatic asset management method and device, readable storage medium and computing equipment - Google Patents

Automatic asset management method and device, readable storage medium and computing equipment Download PDF

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CN111815456A
CN111815456A CN202010941440.2A CN202010941440A CN111815456A CN 111815456 A CN111815456 A CN 111815456A CN 202010941440 A CN202010941440 A CN 202010941440A CN 111815456 A CN111815456 A CN 111815456A
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陈星雨
郑平平
马天翼
焦扬
马永谙
袁雨来
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Beijing Koudaicaifu Information Technology Co ltd
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Abstract

The invention discloses an automatic asset management method, an automatic asset management device, a readable storage medium and computing equipment, wherein the automatic asset management method comprises the following steps: s1: acquiring asset pre-management data; s2: judging whether the assets are managed and controlled or not according to the pre-asset management data, if so, triggering S3, otherwise, not processing; s3: and monitoring the asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuing monitoring the assets until the management and control are finished. In the whole management and control process, the interference of subjective factors is avoided through processing and analyzing historical data without being based on human experience and subjective will, so that the accuracy and the credibility of a risk assessment result can be improved, the assets can be effectively managed automatically for a long time, the risk is reduced, and the effectiveness and the timeliness of management are improved.

Description

Automatic asset management method and device, readable storage medium and computing equipment
Technical Field
The invention relates to the technical field of internet, in particular to an asset automatic management method, an asset automatic management device, a readable storage medium and computing equipment.
Background
With the development of socio-economy, more and more people have a demand for purchasing financial products. Further, more and more users enter the stock market, investing in individual stocks in the hopes of getting higher profits. However, the stock market is a market with no obvious regularity, and most stocks not only have the possibility of rising, but also have the possibility of falling. Risks are difficult to control by predicting trends, so scattered households often have the behavior of pursuing and killing falls, and the losses are serious.
How to find the mark information of the stock beginning to fall down and stop loss as much as possible, and the stock returns to the market when the market quotation is good is concerned and hoped to be realized by the mass investment stock users. Although the financial manager can provide corresponding financial purchasing suggestions aiming at the demands and purchasing power of different users and assist the users to realize the management of financial products, and the realization control is carried out. However, when a financial manager performs risk control, it is necessary to perform risk assessment on a financial product first, the risk assessment mode is based on personal experience and subjective intention of the financial manager, because of different working times of different financial managers and different personal preferences and subjective intentions, accuracy and reliability of obtained risk assessment results are low, and it is highly possible that risk control cannot be accurately performed based on the risk assessment results, and reasonable management of assets is achieved.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present disclosure provides an asset automatic management method, apparatus, readable storage medium, and computing device.
In a first aspect, an embodiment of the present invention provides an asset automatic management method, where the asset automatic management method includes:
s1: acquiring asset pre-management data;
s2: judging whether the assets are managed and controlled or not according to the pre-asset management data, if so, triggering S3, otherwise, not processing;
s3: and monitoring the asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuing monitoring the assets until the management and control are finished.
Alternatively, S2: according to the asset pre-management data, judging whether to manage and control the asset, if so, triggering S3, otherwise, not processing, including:
calculating the average value of net values of the current day and the average value of historical daily net values of each day in the previous adjacent days of the current day, wherein the calculation method of the average value of net values is as follows:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
and judging whether the daily net value average value is in a preset range of all historical daily net value average values, if so, triggering S3, and otherwise, not processing.
Alternatively, S3: monitoring the asset managed data after the asset is managed and controlled, transferring the asset into a user management account when a transaction condition is triggered, and otherwise, continuing monitoring the asset until the management and control are finished, wherein the method comprises the following steps:
acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled, and the standard deviation of the net value in a first preset time period adjacent to the monitoring day;
and judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets into a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
Optionally, the method for automatically managing assets further includes:
and when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day, releasing the limitation on the user management account, and allowing the assets to be transferred out of the user management account.
Optionally, the method for automatically managing assets further includes:
and within a third preset time period after the current-day net value average value is within the preset range of the historical daily net value average value and S3 is triggered, ending the management and control if the current-day net value average value is not triggered by S3 every day.
In a second aspect, an embodiment of the present invention discloses an automatic asset management device, including: a data acquisition module, a management and control judgment module and an asset monitoring module, wherein,
the data acquisition module is used for acquiring the asset pre-management data;
the management and control judging module is used for judging whether to manage and control the assets according to the asset pre-management data acquired by the data acquiring module, if so, triggering the asset monitoring module, and otherwise, not processing;
and the asset monitoring module is used for monitoring asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuously monitoring the assets until the management and control are finished.
Optionally, the management and control determining module includes: a net mean value calculation unit and a control trigger judgment unit, wherein
The net value average calculating unit is used for calculating the net value average of the current day and the historical daily net value average of each day in the previous adjacent days of the current day, wherein the net value average calculating method comprises the following steps:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
and the control triggering and judging unit is used for judging whether the daily net value average value is in a preset range of all the historical daily net value average values, if so, triggering the asset monitoring module, and otherwise, not processing.
Optionally, the asset monitoring module comprises: a data monitoring unit and a monitoring judging unit, wherein,
the data monitoring unit is used for acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled and the net value standard deviation of the asset in a first preset time period adjacent to the monitoring day;
and the monitoring judgment unit is used for judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets to a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
Optionally, the automatic asset management device further includes: and the limitation removing module is used for removing the limitation on the user management account and allowing the assets to be transferred out of the user management account when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day.
Optionally, the automatic asset management device further includes: and the management and control removing module is used for finishing the management and control within a third preset time period after the asset monitoring module is triggered when the daily net value average value is within the preset range of the historical daily net value average value, and the asset monitoring module is not triggered every day.
In a third aspect, embodiments of the present invention provide a readable storage medium having executable instructions thereon, which when executed, cause a computer to perform the operations as included in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computing device, including: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors to perform the operations included in the first aspect.
Compared with the prior art, the invention has at least the following beneficial effects:
according to the method and the system, in the whole asset management process, through processing and analyzing historical data, interference of subjective factors is avoided without being based on human experience and subjective will, so that the accuracy and the credibility of a risk assessment result can be improved, the assets can be automatically managed for a long time, risks are reduced, and the effectiveness and timeliness of management are improved. Even if the user does not have time to manually manage and control the assets, the assets can be automatically managed and controlled, and asset loss caused by the fact that the user does not have time to manage and control the assets is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method for automated asset management according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram of another method for automated asset management provided by an embodiment of the present invention;
fig. 3 is a block diagram of an automatic asset management device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention discloses an asset automatic management method, which includes:
s1: acquiring asset pre-management data;
s2: judging whether the assets are managed and controlled or not according to the pre-asset management data, if so, triggering S3, otherwise, not processing;
s3: and monitoring the asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuing monitoring the assets until the management and control are finished.
In this embodiment, the pre-asset management data and the post-asset management data are used to distinguish data before and after entering the management and control phase, and are the stocks purchased by the user and related data information of the stocks, including data such as monthly growth rate, 365-day average line, maximum withdrawal, net worth variance, and the like.
In the whole process, the interference of subjective factors is avoided through processing and analyzing historical data without the basis of human experience and subjective will, so that the accuracy and the credibility of a risk assessment result can be improved, the assets can be effectively and automatically managed for a long time, the risk is reduced, and the effectiveness and the timeliness of management are improved. Even if the user does not have time to manually manage and control the assets, the assets can be automatically managed and controlled, and asset loss caused by the fact that the user does not have time to manage and control the assets is avoided.
As shown in fig. 2, an embodiment of the present invention discloses an asset automatic management method, which includes:
s1: and acquiring the data before asset management.
In this embodiment, the pre-asset management data is data before entering the management and control stage, and includes data of a monthly growth rate, a 365-day average line, a maximum withdrawal, a net variance, and the like, of a stock purchased by a user and related data information of the stock. The monthly growth rate refers to the net growth rate between the current day and one month ago. The 365 th day average line refers to the net average of all days from the current day to 365 th day before. Maximum withdrawal refers to the maximum change in rate of return as net moves to the lowest point, pushing back from each time point. The net variance is the variance of the net data from the start day to the day. The net value is the net value of every day of collection.
S2: and judging whether the assets are managed and controlled or not according to the pre-asset management data, if so, triggering S3, and otherwise, not processing.
In this embodiment, S2 specifically includes:
s21: calculating the average value of net values of the current day and the average value of historical daily net values of each day in the previous adjacent days of the current day, wherein the calculation method of the average value of net values is as follows:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
s22: and judging whether the daily net value average value is in a preset range of all the historical daily net value average values, if so, triggering S3, and otherwise, not processing.
In this embodiment, the calculated net mean is for the stock that the user has purchased as well. The net mean is the average daily value, e.g., the average daily value of 365 is the net mean of M at 365. The 365 day line data is used to be in the top ten percent of the historical 365 day line data. That is, the preset range is the top ten percent of the total historical net daily value average, where M is 365, and S3 is triggered when the net daily value average is in the top ten percent of the 365 historical net daily value averages. The preset range can be set according to specific conditions such as the loose degree of management and control. If strict control is required, the preset range is enlarged to twenty percent, and the like, and if the control is relaxed, the preset range is reduced to five percent, and the like. When the daily net worth mean value is within the preset range of all historical daily net worth mean values, it is indicated that the stocks purchased by the users have risks, management and control are needed, and then a management and control stage is started.
S3: and monitoring the asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuing monitoring the assets until the management and control are finished.
In this embodiment, S3 specifically includes:
acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled, and the standard deviation of the net value in a first preset time period adjacent to the monitoring day;
and judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets into a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
In this embodiment, the asset managed data is data after entering the management and control phase, and includes data such as a monthly growth rate, a 365-day average line, a maximum withdrawal, a net worth variance, and the like, of a stock purchased by a user and related data information of the stock. The first preset time period may be set according to specific situations, for example, the first preset time period is 250 days in this embodiment, which is a net standard deviation of the previous 250 days adjacent to the monitoring day. The preset multiple can also be set according to specific situations, for example, the preset multiple is 10 times in the embodiment, that is, when the net value of the monitoring day is smaller than the difference value of the maximum net value after entering the management and control minus 10 times of the net value standard deviation, the stock purchased by the user is redeemed to the fund account reserved by the user.
S4: and when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day, releasing the limitation on the user management account, and allowing the assets to be transferred out of the user management account.
In this embodiment, the second preset time period may be set according to specific situations, for example, the second preset time period is 100 days in this embodiment. When the net value of the current day is monitored to be the maximum value of the next previous 100 days, the limit on the user management account is released, the stock is allowed to be purchased, and the purchasing authority and the channel are opened. Under the condition of having purchase authority, the stock can be purchased by oneself without manual operation of the user.
S5: and within a third preset time period after the current-day net value average value is within the preset range of the historical daily net value average value and S3 is triggered, ending the management and control if the current-day net value average value is not triggered by S3 every day.
In this embodiment, the third preset time period may be set according to specific situations, for example, the third preset time period is 365 days in this embodiment.
In the whole process of the invention, the interference of subjective factors is avoided by processing and analyzing the historical data of the target stock without the basis of human experience and subjective will, so that the accuracy and the credibility of the risk assessment result can be improved, the assets can be effectively managed automatically for a long time, the risk is reduced, and the effectiveness and the timeliness of the management are improved. Even if the user does not have time to manually manage and control the assets, the assets can be automatically managed and controlled, and asset loss caused by the fact that the user does not have time to manage and control the assets is avoided. And the stock dynamics is monitored and analyzed in real time, and the purchasing authority is released at a proper time and even the management and control are finished, so that the assets can be more effectively managed and controlled, the risk is avoided, and the income in the long-term holding process can be improved.
As shown in fig. 3, an embodiment of the present invention discloses an automatic asset management device, including: a data acquisition module, a management and control judgment module and an asset monitoring module, wherein,
the data acquisition module is used for acquiring the asset pre-management data;
the management and control judging module is used for judging whether to manage and control the assets according to the asset pre-management data acquired by the data acquiring module, if so, triggering the asset monitoring module, and otherwise, not processing;
and the asset monitoring module is used for monitoring asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuously monitoring the assets until the management and control are finished.
In an embodiment of the present invention, the management and control determining module includes: a net mean value calculation unit and a control trigger judgment unit, wherein
The net value average calculating unit is used for calculating the net value average of the current day and the historical daily net value average of each day in the previous adjacent days of the current day, wherein the net value average calculating method comprises the following steps:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
and the control triggering and judging unit is used for judging whether the daily net value average value is in a preset range of all the historical daily net value average values, if so, triggering the asset monitoring module, and otherwise, not processing.
In one embodiment of the invention, the asset monitoring module comprises: a data monitoring unit and a monitoring judging unit, wherein,
the data monitoring unit is used for acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled and the net value standard deviation of the asset in a first preset time period adjacent to the monitoring day;
and the monitoring judgment unit is used for judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets to a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
In one embodiment of the present invention, the automatic asset management apparatus further includes: and the limitation removing module is used for removing the limitation on the user management account and allowing the assets to be transferred out of the user management account when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day.
In one embodiment of the present invention, the automatic asset management apparatus further includes: and the management and control removing module is used for finishing the management and control within a third preset time period after the asset monitoring module is triggered when the daily net value average value is within the preset range of the historical daily net value average value, and the asset monitoring module is not triggered every day.
The information interaction, execution process and other contents between the modules and units in the device are based on the same concept as the method embodiment of the present invention, and specific contents can be referred to the description in the method embodiment of the present invention, and are not described herein again.
The embodiment of the invention discloses a method for automatically managing assets by using the automatic asset management device, which comprises the following steps:
acquiring asset pre-management data through a data acquisition module;
judging whether the assets are managed and controlled or not through a management and control judging module according to the asset pre-management data acquired by the data acquiring module, if so, triggering the asset monitoring module, and otherwise, not processing;
and monitoring the asset managed data after the assets are managed and controlled through an asset monitoring module, transferring the assets into a user management account when a transaction condition is triggered, and otherwise, continuing monitoring the assets until the management and control are finished.
In an embodiment of the present invention, the determining module determines whether the asset is managed or not according to the asset pre-management data acquired by the data acquiring module, if so, the asset monitoring module is triggered, otherwise, the asset monitoring module does not perform processing, including:
calculating the average value of the net value of the current day and the average value of the historical daily net value of each day in the adjacent previous days of the current day by using a net value average value calculating unit, wherein the net value average value calculating method comprises the following steps:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresentsNet value of day N, SN-MRepresents the net value of the previous M day adjacent to the N day;
and judging whether the daily net value average value is in a preset range of all the historical daily net value average values through a control triggering judgment unit, if so, triggering the asset monitoring module, and otherwise, not processing.
In one embodiment of the invention, the asset monitoring module comprises: a data monitoring unit and a monitoring judging unit, wherein,
acquiring a net value and a maximum net value of the asset on the monitoring day after the asset is controlled and a net value standard deviation in a first preset time period adjacent to the monitoring day through a data monitoring unit;
and judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value or not through a monitoring judgment unit, if so, transferring the assets to a user management account, and otherwise, continuing to monitor the assets until the management and control are finished. In an embodiment of the present invention, the method for automatically managing assets further includes: and when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day, the limitation removing module removes the limitation on the user management account and allows the assets to be transferred out of the user management account.
In an embodiment of the present invention, the method for automatically managing assets further includes: and in a third preset time period after the assets monitoring module is triggered when the current-day net worth mean value is in the preset range of the historical daily net worth mean value through the control releasing module, ending the control if the assets monitoring module is not triggered every day.
It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to perform the various methods of the present invention according to instructions in the program code stored in the memory.
By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer-readable media includes both computer storage media and communication media. Computer storage media store information such as computer readable instructions, data structures, program modules or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of computer readable media.
It should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing inventive embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or components of the apparatus in the examples invented herein may be arranged in an apparatus as described in this embodiment or alternatively may be located in one or more apparatuses different from the apparatus in this example. The modules in the foregoing examples may be combined into one module or may be further divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features of the invention in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so invented, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature of the invention in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the described embodiments are described herein as a method or combination of method elements that can be performed by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the method or method elements thus forms a means for carrying out the method or method elements. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is used to implement the functions performed by the elements for the purpose of carrying out the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention is to be considered as illustrative and not restrictive in character, with the scope of the invention being indicated by the appended claims.

Claims (10)

1. An automatic asset management method, characterized in that the automatic asset management method comprises:
s1: acquiring asset pre-management data;
s2: judging whether the assets are managed and controlled or not according to the pre-asset management data, if so, triggering S3, otherwise, not processing;
s3: and monitoring the asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuing monitoring the assets until the management and control are finished.
2. The asset automatic management method according to claim 1, characterized in that, S2: according to the asset pre-management data, judging whether to manage and control the asset, if so, triggering S3, otherwise, not processing, including:
calculating the average value of net values of the current day and the average value of historical daily net values of each day in the previous adjacent days of the current day, wherein the calculation method of the average value of net values is as follows:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
and judging whether the daily net value average value is in a preset range of all the historical daily net value average values, if so, triggering S3, and otherwise, not processing.
3. The asset automatic management method according to claim 2, characterized in that, S3: monitoring the asset managed data after the asset is managed and controlled, transferring the asset into a user management account when a transaction condition is triggered, and otherwise, continuing monitoring the asset until the management and control are finished, wherein the method comprises the following steps:
acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled, and the standard deviation of the net value in a first preset time period adjacent to the monitoring day;
and judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets into a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
4. The automatic asset management method according to claim 3, characterized in that the automatic asset management method further comprises:
and when the net value of the monitoring day is the maximum value in a second preset time period adjacent to the monitoring day, releasing the limitation on the user management account, and allowing the assets to be transferred out of the user management account.
5. The automatic asset management method according to claim 2, characterized in that the automatic asset management method further comprises:
and within a third preset time period after the current-day net value average value is within the preset range of the historical daily net value average value and S3 is triggered, ending the management and control if the current-day net value average value is not triggered by S3 every day.
6. An automatic asset management device, characterized by comprising: a data acquisition module, a management and control judgment module and an asset monitoring module, wherein,
the data acquisition module is used for acquiring the asset pre-management data;
the management and control judging module is used for judging whether to manage and control the assets according to the asset pre-management data acquired by the data acquiring module, if so, triggering the asset monitoring module, and otherwise, not processing;
and the asset monitoring module is used for monitoring asset managed data after the assets are managed and controlled, transferring the assets into a user management account when transaction conditions are triggered, and otherwise, continuously monitoring the assets until the management and control are finished.
7. The asset automatic management device according to claim 6, wherein said management and control judging module comprises: a net mean value calculation unit and a control trigger judgment unit, wherein
The net value average calculating unit is used for calculating the net value average of the current day and the historical daily net value average of each day in the previous adjacent days of the current day, wherein the net value average calculating method comprises the following steps:
S(—)N=(SN+SN-1+…+SN-M+1+SN-M)/(M+1)
wherein, S (-)NDenotes the net mean value of the N th day, M denotes the number of days adjacent to the N th day, SNRepresents the net value of the N day, SN-MRepresents the net value of the previous M day adjacent to the N day;
and the control triggering and judging unit is used for judging whether the daily net value average value is in a preset range of all the historical daily net value average values, if so, triggering the asset monitoring module, and otherwise, not processing.
8. The automatic asset management device according to claim 7, wherein said asset monitoring module comprises: a data monitoring unit and a monitoring judging unit, wherein,
the data monitoring unit is used for acquiring the net value and the maximum net value of the asset on the monitoring day after the asset is controlled and the net value standard deviation of the asset in a first preset time period adjacent to the monitoring day;
and the monitoring judgment unit is used for judging whether the net value on the monitoring day is smaller than the difference value of the net value standard deviation obtained by subtracting a preset multiple from the maximum net value, if so, transferring the assets to a user management account, and otherwise, continuing to monitor the assets until the management and control are finished.
9. A readable storage medium having executable instructions thereon that, when executed, cause a computer to perform operations as recited in any of claims 1-5.
10. A computing device, comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors to perform the operations included in any of claims 1-5.
CN202010941440.2A 2020-09-09 2020-09-09 Automatic asset management method and device, readable storage medium and computing equipment Pending CN111815456A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106355499A (en) * 2016-09-29 2017-01-25 河南理工大学 Stock price trend forecasting and trading method
CN106656600A (en) * 2016-12-22 2017-05-10 腾讯科技（深圳）有限公司 Resource transformation method and device
CN110163758A (en) * 2019-06-03 2019-08-23 成都慧财智科技有限公司 Artificial intelligence Stock investment analysis system
CN111611487A (en) * 2020-05-20 2020-09-01 上海腾韵信息科技有限公司 Stock information application analysis system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106355499A (en) * 2016-09-29 2017-01-25 河南理工大学 Stock price trend forecasting and trading method
CN106656600A (en) * 2016-12-22 2017-05-10 腾讯科技（深圳）有限公司 Resource transformation method and device
CN110163758A (en) * 2019-06-03 2019-08-23 成都慧财智科技有限公司 Artificial intelligence Stock investment analysis system
CN111611487A (en) * 2020-05-20 2020-09-01 上海腾韵信息科技有限公司 Stock information application analysis system

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