CN116128646A - Method and device for exercising resource rights, computing device and storage medium - Google Patents

Abstract

The present disclosure provides a method and apparatus, computing device, storage medium, and computer program product for enforcing resource equity. The method comprises the following steps: presenting a right delegation interface for exercising a target resource equity, the target resource equity including a transaction equity for the target resource; receiving a right delegation input of a user through a right delegation interface, wherein the right delegation input comprises a delegation weight for the rights and interests of the target resource and a delegation transaction price for the target resource; acquiring a preset line weight price corresponding to the target resource interest by inquiring a database; predicting a line right profit based on line right entrusting input and preset line right price; and in response to the predicted value of the row weight gain being less than or equal to a preset threshold, presenting a risk prompt. Therefore, prediction of the line right gain can be achieved, and the user is informed in time when the risk exists, so that fund or gain loss is avoided, and user experience is improved.

Description

Method and device for exercising resource rights, computing device and storage medium

Technical Field

The present disclosure relates to the field of computer technology, and in particular, to a method for exercising a resource, an apparatus for exercising a resource, a computing device, a computer-readable storage medium, and a computer program product.

Background

Resource benefits may be benefits related to physical or non-physical resources, which may represent that a user has the right to buy or sell a certain amount of a certain physical or non-physical resource at a certain time or within a certain period of time. Illustratively, a resource equity may refer to an option or other similar equity. The development of computer technology has led to the possibility of using terminal devices to perform various resource-benefit exercise operations by themselves, by means of application programs with resource-benefit exercise functions, which brings convenience, but also brings problems. For example, because a specific exercise process of a part of the resource rights may be complex, a specific rule in the exercise process of the resource rights may not be known by the user, etc., when the user selects to exercise a certain resource right by himself, a situation that the profit cannot reach the expectation or the loss may occur. For an application program with a resource benefit function, how to avoid the potential loss problem as much as possible and ensure the user benefit is a problem to be solved urgently.

Disclosure of Invention

In view of the above, the present disclosure provides a method for exercising a resource, an apparatus for exercising a resource, a computing device, a computer-readable storage medium, and a computer program product, which may alleviate, mitigate, or even eliminate the above-mentioned problems.

According to an aspect of the present disclosure, there is provided a method for exercising a resource right, including: presenting a right delegation interface for exercising a target resource equity, the target resource equity including a transaction equity for the target resource; receiving a right delegation input of a user through a right delegation interface, wherein the right delegation input comprises a delegation weight for the rights and interests of the target resource and a delegation transaction price for the target resource; acquiring a preset line weight price corresponding to the target resource interest by inquiring a database; predicting a line right profit based on line right entrusting input and preset line right price; and in response to the predicted value of the row weight gain being less than or equal to a preset threshold, presenting a risk prompt.

In some embodiments, predicting the line weight benefit based on the line weight delegation input and the preset line weight price comprises: predicting the right-of-way cost and the right-of-way income based on the right-of-way weight, the preset right-of-way price and the right-of-way transaction price; predicting transaction fees based on the right-of-way revenue; based on the royalty income, the royalty cost and the transaction fee, the royalty income is predicted.

In some embodiments, predicting transaction fees based on the right-of-way revenue includes: acquiring real-time expense rules related to the transaction expense of the target resource from the resource transaction system via the preset interface, wherein the real-time expense rules comprise at least one of the following: a real-time fee ratio of the at least one transaction fee, a real-time fee base of the at least one transaction fee, a real-time fixed fee of the at least one transaction fee; transaction fees are predicted based on real-time fee rules and royalty revenues.

In some embodiments, predicting the royalty revenue based on the royalty revenue, the royalty cost, and the transaction fee comprises: acquiring preset right-of-way fees required for exercising the rights and interests of the target resources by inquiring the database; predicting the licensing benefit based on the licensing income, the licensing cost, the transaction cost and the preset licensing cost.

In some embodiments, predicting row weight gain includes: predicting tax forward right income; determining a real-time tax level associated with the user based on the accumulated line weight revenue and the tax forward weight revenue of the user; predicting tax payables based on tax forward weight profits according to real-time tax orders; and predicting the running right income based on the tax forward right income and the tax due.

In some embodiments, in response to the predicted value of row weight gain being less than or equal to a preset threshold, presenting the risk cue comprises: and in response to the line weight gain being less than or equal to a preset threshold, popping up a risk prompt window to prompt that the predicted value of the line weight gain is less than or equal to the preset threshold.

In some embodiments, the above method further comprises: and closing the current line right delegation in response to the predicted value of the line right income being smaller than or equal to a preset threshold value.

In some embodiments, the above method further comprises: and in response to the predicted value of the row weight gain being greater than a preset threshold, presenting the predicted value of the row weight gain.

In some embodiments, the preset threshold is 0.

According to another aspect of the present disclosure, there is provided an apparatus for exercising a resource right, comprising: a first presentation module configured to: presenting a right delegation interface for exercising a target resource equity, the target resource equity including a transaction equity for the target resource; a receiving module configured to: receiving a right delegation input of a user through a right delegation interface, wherein the right delegation input comprises a delegation weight for the rights and interests of the target resource and a delegation transaction price for the target resource; an acquisition module configured to: acquiring a preset line weight price corresponding to the target resource interest by inquiring a database; a prediction module configured to: predicting a line right profit based on line right entrusting input and preset line right price; a second presentation module configured to: and in response to the predicted value of the row weight gain being less than or equal to a preset threshold, presenting a risk prompt.

According to yet another aspect of the present disclosure, there is provided a computing device comprising: a memory configured to store computer-executable instructions; a processor configured to perform the method according to any of the embodiments of the preceding aspects when the computer executable instructions are executed by the processor.

According to yet another aspect of the present disclosure, there is provided a computer readable storage medium storing computer executable instructions that, when executed, perform a method according to any one of the embodiments of the preceding aspects.

According to yet another aspect of the present disclosure, there is provided a computer program product comprising computer executable instructions which, when executed by a processor, implement the steps of the method according to any of the embodiments of the preceding aspects.

Through the method for exercising the resource rights and interests, the line right entrusting input of the user can be received through the line right entrusting interface, the line right income of the line right entrusting is predicted according to the line right entrusting input and the preset line right price obtained from the database, and the risk prompt is presented to the user when the predicted line right income does not reach the preset threshold. Therefore, the line right profit of the line right delegation of the user can be predicted in real time, the loss risk is avoided, and the benefit of the user is effectively ensured.

These and other aspects of the disclosure will be apparent from and elucidated with reference to the embodiments described hereinafter.

Drawings

Further details, features and advantages of the present disclosure are disclosed in the following description of exemplary embodiments, with reference to the following drawings, wherein:

FIG. 1 schematically illustrates an example scenario for a scheme for exercise of resource equity that may be provided by some embodiments of the present disclosure;

FIG. 2 schematically illustrates an example flow chart of a method for exercising a resource equity according to some embodiments of this disclosure;

FIG. 3 schematically illustrates an example interface diagram of a row right delegation interface in accordance with some embodiments of the present disclosure;

FIG. 4 schematically illustrates an example interface diagram for presenting risk cues according to some embodiments of the present disclosure;

FIG. 5 schematically illustrates an example block diagram of an apparatus for exercising a resource benefit according to some embodiments of this disclosure;

fig. 6 schematically illustrates an example block diagram of a computing device, according to some embodiments of the disclosure.

Detailed Description

Before describing in detail embodiments of the present disclosure, some related concepts will be explained first. In the present disclosure, a resource may refer to any type of resource, such as an entity resource such as soybean, copper, etc., or a non-entity resource such as stock, bond, etc., which may be traded in a resource trading system set up by a related institution, where trade prices may fluctuate over time; resource equity may refer to the right that a certain amount of a certain agreed resource may be traded at an agreed price (i.e., a preset line price) within a certain agreed date or period, which may include buying or selling, for example, which may be a term or other similar equity; the exercise resource equity (or called line right) may refer to the act of buying or selling a target resource according to a contracted date, a contracted price, a contracted amount, and may be divided into different line right manners such as cash line right, noncash line right, and the like.

In the related art, a user may obtain a resource interest in various ways, such as self-buying, company granting, etc. By way of example, some marketers may set a equity incentive system, such as by awarding resource benefits such as equity to an employee. Specifically, when granting options, the company may set a preset price of the option granted for the pen with reference to market quotation, set a attribution time of the option, and the like. After the granted option is attributed to the employee, the employee may choose to exercise the option, i.e., exercise the option. However, at the time of employee ownership, the current stock price may be less than or equal to the preset ownership price due to market fluctuations, at which point the ownership may cause a loss. By analyzing existing line weight systems, applicants have found that in the related art, the following approach is generally taken to reduce the risk of deficit. That is, whether or not there is a loss risk is determined by comparing the preset right-of-way price with the user's commission transaction price, which may be a price set by the user himself or a market price set when commission of the right-of-way is referenced. Specifically, when the commission transaction price is less than or equal to the preset line right price, it can be judged that the line right commission has a loss risk and the user line right is prevented. However, the applicant has found that this approach, while simple, has major drawbacks. In the process of the right of way, because there are various additional fees, such as fixed fees set by the company, commissions charged or deducted by the exchange, printing tax, transaction fee, FRC financial tax bureau fee and other transaction fees, personal income tax and other fees, even if the commission transaction price of a right of way commission is higher than the preset right of way price, if the number of the commission rights of way commission is lower or the commission transaction price is lower, the right of way commission still has the possibility of loss. Under the condition that the user is unfamiliar with related knowledge, the adverse consequences such as line right loss or line right profit failing to be expected are very easy to occur under the condition that the user is unknowing, on the one hand, the unnecessary fund loss of the user can be caused, on the other hand, poor user experience can be brought, and the trust degree of the user on the line right system is reduced.

Based on the above considerations, the applicant has proposed a new solution for the resource interest, which will be described in detail below with reference to the accompanying drawings.

FIG. 1 schematically illustrates an example scenario 100 for a scheme for exercise of resource equity that may be provided by some embodiments of the present disclosure.

As shown in fig. 1, the application scenario 100 includes a terminal device 110. The schemes for making resource rights provided by the embodiments of the present disclosure may be deployed at the terminal device 110. Terminal devices 110 may include, but are not limited to, cell phones, desktop computers, notebook computers, tablet computers, VR or AR devices, smart appliances, car terminals, and the like. The user 120 may use the terminal device 110 to perform various interactive operations, such as entering a right-of-line delegate input, viewing a risk prompt, etc., which will be described in detail below and not described in detail herein.

In some embodiments, the application scenario 100 may also include a server 130. Optionally, the schemes for benefiting resources provided by embodiments of the present disclosure may also be deployed on the server 130. Alternatively, the schemes for benefiting resources provided by embodiments of the present disclosure may also be deployed on a combination of computing device 110 and server 130. The present disclosure is not particularly limited in this respect. For example, user 120 may access server 130 via network 150 through computing device 110 in order to obtain services provided by server 130.

The server 130 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligence platforms, and the like. Moreover, it should be understood that server 130 is shown by way of example only, and that in fact other devices or combinations of devices having computing power and storage capabilities may alternatively or additionally be used to provide corresponding services.

Alternatively, the schemes for making resource interest provided by the embodiments of the present disclosure may be deployed on the terminal device 110 in the form of an application program; alternatively, the solution may be deployed on the server 130 as a cloud application service, where the terminal device 110 may be deployed with an application program for accessing the cloud application service, so that the user may access the cloud application service through the application program on the terminal device 110, for example, the solution may be deployed as a web application or other online application program, and the user may use the functions thereof through a browser or other application program in the terminal device 110. The schemes provided by embodiments of the present disclosure for benefiting resources may be provided as stand-alone applications or as part of other applications. The present disclosure is not particularly limited to the specific implementation form of this scheme.

In some embodiments, the application scenario 100 may also include a database 140. Computing device 110 and/or server 130 may be linked with database 140 via network 150, for example, to obtain data from or write data to database 140. The database 140 may be a stand-alone data storage device or group of devices, or may be a back-end data storage device or group of devices associated with other online services, for example.

In addition, in the present disclosure, the network 150 may be a wired network connected via a cable, an optical fiber, or the like, or may be a wireless network such as 2G, 3G, 4G, 5G, wi-Fi, bluetooth, zigBee, li-Fi, or the like, or may be an internal connection line of one or several devices, or the like.

Fig. 2 schematically illustrates an example flow diagram of a method 200 for exercising a resource benefit according to some embodiments of the disclosure. The method 200 may be deployed on the terminal device 110 in the scenario 100 shown in fig. 1, or on the server 130 or a combination of the terminal device 110 and the server 130, for example. It may be implemented, for example, by a separate line-weight system, or by a line-weight-enabled system. As shown, the method 200 includes steps 210 through 250, as follows.

At step 210, a right delegation interface for exercising a target resource equity, which may include a transaction equity for the target resource, may be presented. Similar to the foregoing, the target resource interest may refer to: the user may buy or sell up to about an amount of the target resource at a preset line price on a contracted date or during a contracted period. Illustratively, the target resource equity may be a pre-selected resource equity for the user, i.e., the user may select one of the at least one resource equity he owns as the target resource equity and issue a delegation of authority. For example, taking a company awarding option scenario as an example, an option may be considered as a resource benefit, and a user may be awarded multiple options, which may select one of the options for a row, and the selected option may be considered as the target resource benefit. Alternatively, as mentioned above, the target resource may refer to various entity or non-entity resources, and in the scenario where the company grants the option, the stock related to the option selected by the user is the target resource, which may be a certain stock and may be identified by a stock code.

At step 220, a user's line delegation input may be received through a line delegation interface, which may include a delegation weight for a target resource equity and a delegation transaction price for the target resource. Optionally, an input box may be provided in the right delegation interface, so that the user may enter the delegation weight, the delegated transaction price, and other optional right delegation inputs by himself; alternatively, a selection box may be provided in the line weight delegation interface such that the user may set delegated line weights, delegated transaction prices, and other optional line weight delegation inputs by performing a selection operation in several alternatives; or an increase-decrease button can be provided in the right-of-way delegation interface, so that a user can adjust the set delegated right amount, delegated transaction price and other optional right-of-way delegation inputs through the increase-decrease button; or, a voice input option can be provided in the right-of-way delegation interface, so that a user can set the right-of-way delegation, the price of delegation and other optional right-of-way delegation input in a voice mode; etc. Furthermore, optionally, different forms of input interfaces may be provided for different types of line right delegation inputs, which are not specifically limited by the present disclosure. Illustratively, the delegation weight for the target resource equity may be represented by an amount of the target resource, which may be less than or equal to a contracted amount of the target resource to which the target resource equity corresponds. And, illustratively, the delegated transaction price for the target resource may be measured in various forms of equivalents, which may be set by the user as desired, such as by referencing the current transaction price of the target resource or by other means.

Fig. 3 schematically illustrates an example interface diagram of a row right delegation interface 300 in accordance with some embodiments of the present disclosure. Illustratively, the line delegation interface 300 can be presented in response to a line delegation initiation operation by a user. For example, as indicated by reference numeral 310 in FIG. 3, a resource equity selection interface and a line right type selection interface may exist prior to the line right delegation interface 300. Illustratively, in the resource equity selection interface, a user may select one of the one or more resource equities that he owns as a target resource equity and initiate a delegation of ownership. And, illustratively, in the line weight type selection interface, the user may select a line weight type, including, for example, cash line weights, cashless line weights, etc., which in turn may include, for example, transaction all delegated line weights, transaction part delegated line weights, etc. To facilitate understanding, continuing with the scenario of the company granting option described above, the user may select a cash right to buy the stock of the delegated right directly at the preset right price and hold the stock; the user can also select the noncash right of all transactions to directly sell all the stocks of the delegation weight; the user may also select a noncash right of a partial transaction to sell a portion of the delegate weighted stock (e.g., to cover the cost of the right of way) and hold the remainder of the delegate weighted stock; etc.

As shown in fig. 3, the user may adjust the set delegated transaction price via an increase or decrease button in block 320 of the delegation interface 300 and may adjust the set delegated line weight via an increase or decrease button in block 330. To facilitate the user setting of a reasonable commission transaction price and commission row weight, the present price and last-day closing price of the target resource may be presented at the location indicated as 340, and the current amount of tradable resource of the target resource interest may be presented below block 330. Additionally, the interface 300 may optionally present resource transaction time, type of right of line, type of delegation, etc. to present richer information to the user. After the right delegation input is completed, the user can confirm the submission of the right delegation through a right delegation button.

In step 230, a preset line weight price corresponding to the target resource benefit may be obtained by querying a database. For example, the preset line weight price corresponding to the target resource benefit may be queried in the database with the identification of the target resource benefit as a query field. The preset line weight price may be preset by the issuer of the target resource equity, which may be set according to the market price of the target resource at the time of issuance, for example. Continuing with the scenario of a company granting a stock option described above as an example, the preset option price for the stock option may be preset by the company, and may be set according to the stock price at the time of grant, may be identical to or different from the stock price at the time of grant, and may be lower than the stock price at the time of grant, for example. After the preset line price is set, the preset line price can be stored in a database for subsequent inquiry.

At step 240, a line weight benefit may be predicted based on the line weight delegation input and a preset line weight price. For example, the received line weight delegation inputs (i.e., the delegation weight, the delegation transaction price, and other optional inputs) and the preset line weight price obtained from the database may be input to a pre-designed algorithm module or model that may be configured to output a predicted value of line weight benefits based on the line weight delegation inputs and the preset line weight price. And, illustratively, the running right cost and the running right profit can be determined according to the entrusting running right, the entrusting transaction price and the preset running right price, and other fees can be obtained through inquiry or calculation, so that the predicted value of the running right profit can be obtained.

In step 250, a risk cue may be presented in response to the predicted value of row weight gain being less than or equal to a preset threshold. The preset threshold may be set according to specific needs or may be set by the user himself. Illustratively, the preset threshold may be set to 0 for the purpose of preventing a deficit; alternatively, the preset threshold may be set to a desired value greater than 0 for the purpose of guaranteeing minimum revenue, or may be set to an amount related to the delegation of line weight input and/or the preset line weight price according to a preset mechanism, for example, to a preset proportion of line weight cost or line weight income, wherein the line weight cost may be determined based on the delegation line weight and the preset line weight price, and the line weight income may be determined based on the delegation line weight and the delegation transaction price; etc. Alternatively, the risk prompt may be presented in various forms such as a pop-up window, a voice broadcast, a short message notification, etc., which is not particularly limited in this disclosure.

Through the method 200, the line right profit of the line right delegation initiated by the user aiming at the target resource benefit can be predicted, and a risk prompt is presented when the predicted value of the line right profit is smaller than or equal to a preset threshold value, so as to inform the user that the line right delegation has a risk of loss or failure to reach the expected profit. Therefore, the user benefits can be effectively ensured, the user funds are ensured not to suffer unnecessary loss, the user experience is improved, and the trust degree of the user on the right-of-way system is improved.

In some embodiments, the step 240 may include: predicting the right-of-way cost and the right-of-way income based on the right-of-way weight, the preset right-of-way price and the right-of-way transaction price; predicting transaction fees based on the right-of-way revenue; based on the royalty income, the royalty cost and the transaction fee, the royalty income is predicted. Illustratively, the line weight cost may be calculated based on the delegated line weight and the preset line weight price, e.g., the line weight cost may be equal to a product of the two; the line weight revenue may be calculated based on the delegate line weight and the delegate transaction price, e.g., in a full sell line weight approach, the line weight revenue may be equal to the product of the two, or in a partial sell line weight approach, the line weight revenue may be equal to the product of a portion of the delegate line weight and the delegate transaction price. Illustratively, the transaction fee may be predicted based on the line right revenue by looking up a table, multiplying by a preset proportion, substituting a preset formula, acquiring a real-time rate, and the like. And, illustratively, the royalty returns may be predicted from the difference in royalty returns minus royalty costs and transaction fees. As mentioned above, during a resource transaction, the resource transaction facility may collect or substitute for a portion of the fee (i.e., the transaction fee described herein). By predicting the transaction cost, the accuracy of the predicted value of the right-of-way income is improved.

In some embodiments, transaction fees may be predicted based on the right-of-way revenue by: acquiring real-time expense rules related to the transaction expense of the target resource from the resource transaction system via the preset interface, wherein the real-time expense rules comprise at least one of the following: a real-time fee ratio of the at least one transaction fee, a real-time fee base of the at least one transaction fee, a real-time fixed fee of the at least one transaction fee; transaction fees are predicted based on real-time fee rules and royalty revenues. The preset interface may be an interface supporting wired or wireless data communication, for example, which may be implemented by construction and modification of a network infrastructure. The preset interface may allow a device (e.g., a server device or other device) performing the method 200 to interact data with a server device deploying the resource transaction system to obtain real-time fee rule information from the resource transaction system. For example, for certain kinds of transaction fees, they may be fixed, i.e., may be predicted based on real-time fixed fees; for certain kinds of transaction fees, it can be predicted by the product of the right-of-way income and the real-time fee ratio; for certain kinds of transaction fees, there may be a minimum charge, such as a real-time fee base; etc. Real-time fee rules for various types of transaction fees may be obtained according to specific circumstances for predicting transaction fees. Therefore, the transaction cost can be accurately predicted, so that the accuracy of the predicted value of the running right gain is greatly improved, and further, the user is effectively ensured not to suffer unnecessary funds or gain loss.

In some embodiments, the step of predicting row weight gain may further comprise: acquiring preset right-of-way fees required for exercising the rights and interests of the target resources by inquiring the database; predicting the licensing benefit based on the licensing income, the licensing cost, the transaction cost and the preset licensing cost. In some examples, there may also be a preset royalty cost, e.g., in examples where a company grants a stock option, the preset royalty cost may be set by the company, which may be fixed or proportional to the royalty cost or royalty income. For example, the identification of the target resource benefit or the identification of the issuer of the target resource benefit may be used as a query field to query the database for the corresponding preset line cost. This helps to further improve the accuracy of the predicted value of row weight gain.

In some embodiments, the step of predicting row right gains in the foregoing embodiments may include: predicting tax forward right income; determining a real-time tax level associated with the user based on the accumulated line weight revenue and the tax forward weight revenue of the user; predicting tax payables based on tax forward weight profits according to real-time tax orders; and predicting the running right income based on the tax forward right income and the tax due. Illustratively, according to the various embodiments described previously, tax forward earnings may be predicted based on the royalty delegation input and the preset royalty price, tax forward earnings may be predicted based on the royalty earnings, the royalty costs, and the transaction costs, tax forward earnings may be predicted based on the royalty earnings, the royalty costs, the transaction costs, and the preset royalty costs, and the like. Furthermore, the real-time tax level of the user can be determined according to the accumulated running right gain of the user (which can be the accumulated running right gain) and the predicted running right gain of the tax by presetting tax rates of different tax levels, and further the tax payable corresponding to the running right of the user can be predicted according to the tax rate corresponding to the real-time tax level. To reflect the actual running right gain of the user more truly and intuitively, the tax due can be subtracted from the predicted tax forward right gain to obtain a predicted value of the running right gain of the tax due. Illustratively, the accumulated row weight gain of the user may be queried by the device performing the method 200 in a relational database. It will be appreciated that whether or not to pay tax, such as an individual income tax, is to be credited in the predicted line of rights benefits may be set according to particular needs. In some embodiments, tax payables may generally be credited in the predicted line weight benefits for the purpose of more intuitively and accurately reflecting the true line weight benefits; in some embodiments, tax forward rights and final predicted line rights may be presented separately; in some embodiments, tax due may not be credited in the line weight benefits, in other words, tax forward weight benefits may be understood as being directly predicted line weight benefits. Generally, tax payables such as personal income tax are determined based on the product of tax rate and tax base, so even if tax payables are not counted in predicted line rights returns, in an embodiment in which it is determined whether a deficit is generated (i.e., the preset threshold is set to 0), the risk of deficit can be clearly and accurately reflected.

To further facilitate understanding, a row right gain prediction algorithm according to at least some of the embodiments described above is described below by taking a company-granted option as an example. First, the line weight cost can be obtained by multiplying the commission line weight by a preset line weight price, and the commission line weight by the commission transaction price to obtain line weight income (here, assume that a cashless line weight manner of all sales is adopted). The database may then be queried for preset royalty fees set by the company, and real-time fee rules for various transaction fees, such as commissions, tax stamps, transaction fees, transaction evidence fees, FRC financial accounting fees, may be obtained from the exchange's system via the preset interface. Illustratively, the transaction fee may be predicted by: the commission may have a real-time fee base and a real-time fee ratio, for example, the real-time fee base may differ according to companies, and assuming that the real-time fee base of the commission is 80 harbor, the real-time fee ratio is 0.07%, then if the product of the line right income and 0.07% is less than or equal to 80 harbor, the commission may be predicted as 80 harbor, and if the product of the line right income and 0.07% is greater than 80 harbor, the commission may be predicted as the product of the line right income and 0.07%; similarly, a tax stamp may have a real-time cost base and a real-time cost ratio, assuming that the real-time cost base is 1 harbor, and the real-time cost ratio is 0.13%, then if the product of the line right income and 0.13% is less than or equal to 1, then the commission may be predicted as 1 harbor, and if the product of the line right income and 0.13% is greater than 1, then the commission may be predicted as the product of the line right income and 0.13%; the transaction fee may have a real-time fee ratio, and assuming that the real-time fee ratio is 0.005%, the transaction fee may be predicted as a product of the right-of-way income and 0.005%; similarly, the liability and FRC financial accounting fees may also have real-time fee ratios, assuming real-time fee ratios of 0.0027% and 0.00015%, respectively, the liability fees may be predicted as the product of line right revenue and 0.0027%, and the FRC financial accounting fees may be predicted as the product of line right revenue and 0.00015%. The sum of the transaction fees of the various types may be regarded as a predictive value of the transaction fees. Thus, the predicted value of tax advance rights gain may be determined as the difference of the rights income minus the rights cost, the preset rights cost and the transaction cost. Furthermore, the personal income tax of the user can be predicted according to the real-time tax level of the user, and the predicted value of the income tax is subtracted from the predicted value of the income tax of the preceding tax to obtain the predicted value of the income tax of the preceding tax. It should be appreciated that the various cardinalities, ratio data, and various cost types described above are exemplary and may be determined based on the actual application scenario.

In some embodiments, the risk cues may be presented through a pop-up window. For example, step 250 may include: and in response to the line weight gain being less than or equal to a preset threshold, popping up a risk prompt window to inform that the predicted value of the line weight gain is less than or equal to the preset threshold. By popup the risk prompt window, the user can be timely and effectively reminded of the risk existing in the current right-of-way delegation.

Schematically, fig. 4 illustrates an example interface 400 for presenting risk cues according to some embodiments of the present disclosure. As shown in fig. 4, a risk prompt may be presented in the form of a pop-up window 410 to prompt the user that the current right-to-line delegation may result in a loss or that the right-to-line profit may not reach the expected profit. Optionally, the pop-up window 410 may also present other information, such as explaining why there is a loss risk, providing operational advice to the user, presenting predictions of line weight benefits, and so forth. Further, the user may close the pop-up window 410, illustratively, via a "ok" button as shown.

In some embodiments, to further avoid the risk of loss or unexpected benefits, the method 200 may further include: and closing the current line right delegation in response to the predicted value of the line right income being smaller than or equal to a preset threshold value. Conventionally, after a user performs a line right delegation, the system will perform a line right operation according to the line right delegation input of the user. However, when the predicted value of the profit of the running right is smaller than or equal to the preset threshold, it indicates that the current running right entrusting has a loss risk (when the preset threshold is 0) or the profit cannot reach the expectation (when the preset threshold is a value greater than 0), at this time, in order to avoid the damage of the user funds or the profit, the current running right entrusting may be closed, that is, the corresponding running right operation is not executed. Illustratively, the current right-of-way delegation can be closed by placing the "right-of-way" option shown in FIG. 4 in an unselected state, presenting a close right-of-way delegation dialog box, and so forth.

In some embodiments, the method 200 may further comprise: and in response to the predicted value of the row weight gain being greater than a preset threshold, presenting the predicted value of the row weight gain. Illustratively, the predicted value of row weight gain may also be presented in a popup window format, which may be similar to the popup window 410 shown in FIG. 4. Therefore, the user can conveniently acquire the predicted income situation of the current right delegation in time so as to assist in judging whether to continue the current right delegation. This helps to promote the user's line-of-right experience.

Fig. 5 schematically illustrates an example block diagram of an apparatus 500 for exercising a resource benefit according to some embodiments of this disclosure. As shown, the apparatus 500 may include a first presentation module 510, a receiving module 520, an acquisition module 530, a prediction module 540, and a second presentation module 550.

Specifically, the first presentation module 510 may be configured to: presenting a right delegation interface for exercising a target resource equity, the target resource equity including a transaction equity for the target resource; the receiving module 520 may be configured to: receiving a right delegation input of a user through a right delegation interface, wherein the right delegation input comprises a delegation weight for the rights and interests of the target resource and a delegation transaction price for the target resource; the acquisition module 530 may be configured to: acquiring a preset line weight price corresponding to the target resource interest by inquiring a database; the prediction module 540 may be configured to: predicting a line right profit based on line right entrusting input and preset line right price; the second rendering module 550 may be configured to: and in response to the predicted value of the row weight gain being less than or equal to a preset threshold, presenting a risk prompt.

It should be understood that the apparatus 500 may be implemented in software, hardware, or a combination of software and hardware. The different modules may be implemented in the same software or hardware structure or one module may be implemented by different software or hardware structures.

Moreover, the apparatus 500 may be used to implement the method 200 described above, the relevant details of which have been described in detail above and are not repeated here for brevity. The apparatus 500 may have the same features and advantages as described with respect to the previous method.

Fig. 6 schematically illustrates an example block diagram of a computing device 600 according to some embodiments of the disclosure. For example, it may represent terminal device 110, server 130, or other types of computing devices that may be used to deploy apparatus 500 provided by the present disclosure in fig. 1.

As shown, the example computing device 600 includes a processing system 601, one or more computer-readable media 602, and one or more I/O interfaces 603 communicatively coupled to each other. Although not shown, computing device 600 may also include a system bus or other data and command transfer system that couples the various components to one another. A system bus may include any one or combination of different bus structures, such as a memory bus or memory controller, a peripheral bus, a universal serial bus, and/or a processor or local bus that utilizes any of a variety of bus architectures, or may further include such as control and data lines.

The processing system 601 is representative of functionality to perform one or more operations using hardware. Thus, the processing system 601 is illustrated as including hardware elements 604 that may be configured as processors, functional blocks, and the like. This may include implementing application specific integrated circuits in hardware or other logic devices formed using one or more semiconductors. The hardware element 604 is not limited by the materials from which it is formed or the processing mechanisms employed therein. For example, the processor may be comprised of semiconductor(s) and/or transistors (e.g., electronic Integrated Circuits (ICs)). In such a context, the computer-executable instructions may be electronically-executable instructions.

The computer-readable medium 602 is illustrated as including memory/storage 605. Memory/storage 605 represents memory/storage associated with one or more computer-readable media. The memory/storage 605 may include volatile storage media (such as Random Access Memory (RAM)) and/or nonvolatile storage media (such as Read Only Memory (ROM), flash memory, optical disks, magnetic disks, and so forth). The memory/storage 605 may include fixed media (e.g., RAM, ROM, a fixed hard drive, etc.) and removable media (e.g., flash memory, a removable hard drive, an optical disk, and so forth). Illustratively, the memory/storage 605 may be used to store various data mentioned in the above embodiments, such as preset line weight prices, tax rates, and the like. The computer-readable medium 602 may be configured in a variety of other ways as described further below.

One or more input/output interfaces 603 represent functionality that allows a user to enter commands and information to computing device 600, and that also allows information to be presented to the user and/or sent to other components or devices using various input/output devices. Examples of input devices include a keyboard, a cursor control device (e.g., a mouse), a microphone (e.g., for voice input), a scanner, touch functionality (e.g., capacitive or other sensors configured to detect physical touches), a camera (e.g., motion that does not involve touches may be detected as gestures using visible or invisible wavelengths such as infrared frequencies), a network card, a receiver, and so forth. Examples of output devices include a display device (e.g., a display or projector), speakers, a printer, a haptic response device, a network card, a transmitter, and so forth. Illustratively, in the above-described embodiments, the user may be allowed to perform various interactive operations through an input device, such as entering a line right delegation input, etc., may be allowed to view a predicted value of a line right benefit through an output device, present a risk prompt to the user, etc.

Computing device 600 also includes a resource equity exercise application 606. The resource equity exercise application 606 may be stored as computer program instructions in the memory/storage 605. The resource equity exercise application 606 may implement the full functionality of the various modules of the apparatus 500 described with respect to fig. 5, along with the processing system 601 and the like.

Various techniques may be described herein in the general context of software, hardware, elements, or program modules. Generally, these modules include routines, programs, objects, elements, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The terms "module," "functionality," and the like as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of computing platforms having a variety of processors.

An implementation of the described modules and techniques may be stored on or transmitted across some form of computer readable media. Computer readable media can include a variety of media that are accessible by computing device 600. By way of example, and not limitation, computer readable media may comprise "computer readable storage media" and "computer readable signal media".

"computer-readable storage medium" refers to a medium and/or device that can permanently store information and/or a tangible storage device, as opposed to a mere signal transmission, carrier wave, or signal itself. Thus, computer-readable storage media refers to non-signal bearing media. Computer-readable storage media include hardware such as volatile and nonvolatile, removable and non-removable media and/or storage devices implemented in methods or techniques suitable for storage of information such as computer-executable instructions, data structures, program modules, logic elements/circuits or other data. Examples of a computer-readable storage medium may include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical storage, hard disk, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other storage devices, tangible media, or articles of manufacture adapted to store the desired information and which may be accessed by a computer.

"computer-readable signal medium" refers to a signal bearing medium configured to transmit instructions to hardware of computing device 600, such as via a network. Signal media may typically be embodied in computer-executable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave, data signal, or other transport mechanism. Signal media also include any information delivery media. By way of example, and not limitation, signal media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

As previously described, the hardware elements 604 and computer-readable media 602 represent instructions, modules, programmable device logic, and/or fixed device logic implemented in hardware that may be used in some embodiments to implement at least some aspects of the techniques described herein. The hardware elements may include integrated circuits or components of a system on a chip, application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs), complex Programmable Logic Devices (CPLDs), and other implementations in silicon or other hardware devices. In this context, the hardware elements may be implemented as processing devices that perform program tasks defined by instructions, modules, and/or logic embodied by the hardware elements, as well as hardware devices that store instructions for execution, such as the previously described computer-readable storage media.

Combinations of the foregoing may also be used to implement the various techniques and modules described herein. Thus, software, hardware, or program modules, and other program modules may be implemented as one or more instructions and/or logic embodied on some form of computer-readable storage medium and/or by one or more hardware elements 604. Computing device 600 may be configured to implement particular instructions and/or functions corresponding to software and/or hardware modules. Thus, for example, by using the computer-readable storage medium of the processing system and/or the hardware elements 604, a module may be implemented at least in part in hardware as a module executable by the computing device 600 as software. The instructions and/or functions may be executed/operable by, for example, one or more computing devices 600 and/or processing systems 601 to implement the techniques, modules, and examples described herein.

The techniques described herein may be supported by these various configurations of computing device 600 and are not limited to the specific examples of techniques described herein.

It should be understood that for clarity, embodiments of the present disclosure have been described with reference to different functional units. However, it will be apparent that the functionality of each functional unit may be implemented in a single unit, in a plurality of units or as part of other functional units without departing from the present disclosure. For example, functionality illustrated to be performed by a single unit may be performed by multiple different units. Thus, references to specific functional units are only to be seen as references to suitable units for providing the described functionality rather than indicative of a strict logical or physical structure or organization. Thus, the present disclosure may be implemented in a single unit or may be physically and functionally distributed between different units and circuits.

The present disclosure provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed, implement the above-described method for exercising resource benefits.

The present disclosure provides a computer program product or computer program comprising computer executable instructions stored in a computer readable storage medium. The processor of the computing device reads the computer-executable instructions from the computer-readable storage medium, and executes the computer-executable instructions to cause the computing device to perform the methods for exercising the resource benefits provided in the various embodiments described above.

Variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed subject matter, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Claims (13)

1. A method for exercising a resource equity, comprising:

presenting a right-of-way delegation interface for exercising a target resource equity, the target resource equity comprising a transaction equity for a target resource;

receiving a line right delegation input of a user through the line right delegation interface, wherein the line right delegation input comprises delegation line weight aiming at the target resource rights and delegation transaction price aiming at the target resource;

acquiring a preset line weight price corresponding to the target resource benefit by querying a database;

predicting a line right profit based on the line right entrusting input and the preset line right price;

and responding to the predicted value of the row right gain is smaller than or equal to a preset threshold value, and presenting a risk prompt.

2. The method of claim 1, wherein the predicting a line weight benefit based on the line weight delegation input and the preset line weight price comprises:

predicting a right-of-way cost and a right-of-way income based on the right-of-way weight, the preset right-of-way price and the right-of-way transaction price;

predicting transaction fees based on the right-to-way revenue;

predicting a royalty income based on the royalty income, the royalty cost and the transaction cost.

3. The method of claim 2, wherein the predicting transaction fees based on the right-of-way revenue comprises:

obtaining, via a preset interface, a real-time expense rule associated with an expense of the target resource from a resource trading system, the real-time expense rule including at least one of: a real-time fee ratio of the at least one transaction fee, a real-time fee base of the at least one transaction fee, a real-time fixed fee of the at least one transaction fee;

the transaction fee is predicted based on the real-time fee rules and the right-to-way revenue.

4. The method of claim 2, wherein the predicting a royalty benefit based on the royalty income, the royalty cost, and the transaction fee comprises:

acquiring preset right-of-way fees required for exercising the target resource rights by inquiring a database;

predicting a royalty income based on the royalty income, the royalty cost, the transaction cost and the preset royalty cost.

5. The method of any of claims 1-4, wherein the predicting row weight gain comprises:

predicting tax forward right income;

determining a real-time tax level associated with the user based on the accumulated line weight gain of the user and the tax advance weight gain;

Predicting tax payables based on the tax advance rights and profits according to the real-time tax orders;

and predicting the running right income based on the tax forward right income and the tax to be paid.

6. The method of claim 1, wherein the presenting a risk cue in response to the predicted value of row weight gain being less than or equal to a preset threshold comprises:

and in response to the row right gain being smaller than or equal to a preset threshold, popping up a risk prompt window to prompt that the predicted value of the row right gain is smaller than or equal to the preset threshold.

7. The method of claim 1, further comprising:

and closing the current line right delegation in response to the predicted value of the line right income being smaller than or equal to the preset threshold value.

8. The method of claim 1, further comprising:

and responding to the predicted value of the row weight gain to be larger than the preset threshold value, and presenting the predicted value of the row weight gain.

9. The method of any one of claims 1, 6, 7, 8, wherein the preset threshold is 0.

10. An apparatus for exercising a resource right, comprising:

a first presentation module configured to: presenting a right-of-way delegation interface for exercising a target resource equity, the target resource equity comprising a transaction equity for a target resource;

A receiving module configured to: receiving a line right delegation input of a user through the line right delegation interface, wherein the line right delegation input comprises delegation line weight aiming at the target resource rights and delegation transaction price aiming at the target resource;

an acquisition module configured to: acquiring a preset line weight price corresponding to the target resource benefit by querying a database;

a prediction module configured to: predicting a line right profit based on the line right entrusting input and the preset line right price;

a second presentation module configured to: and responding to the predicted value of the row right gain is smaller than or equal to a preset threshold value, and presenting a risk prompt.

11. A computing device, comprising:

a memory configured to store computer-executable instructions;

a processor configured to perform the method according to any one of claims 1 to 9 when the computer executable instructions are executed by the processor.

12. A computer readable storage medium storing computer executable instructions which, when executed, perform the method of any one of claims 1 to 9.

13. A computer program product comprising computer executable instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 9.

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