CN111445330A - Account checking method and device - Google Patents
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- CN111445330A CN111445330A CN202010212759.1A CN202010212759A CN111445330A CN 111445330 A CN111445330 A CN 111445330A CN 202010212759 A CN202010212759 A CN 202010212759A CN 111445330 A CN111445330 A CN 111445330A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The invention provides a method and a device for checking accounts, wherein the method comprises the following steps: determining an account checking rule; acquiring transaction information of at least one transaction from at least two data sources; generating fund settlement data of each transaction according to the transaction information of each transaction; and checking accounts according to the account checking rule and the fund settlement data of each transaction. The invention provides a method and a device for checking accounts, which can improve the efficiency of checking accounts.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a reconciliation method and a reconciliation device.
Background
With the rapid development of computer technology, more and more enterprises trade through networks, and with the popularization of computers and the proposal of national internet + concept, the business volume of enterprise informatization processing is more and more huge. How to reconcile a large number of transactions becomes a technical problem to be solved urgently.
In the prior art, the account is checked manually in a manual manner. This reconciliation approach is inefficient.
Disclosure of Invention
The embodiment of the invention provides a method and a device for checking accounts, which can improve the efficiency of checking accounts.
In a first aspect, an embodiment of the present invention provides a method for reconciliation, where the method includes:
determining an account checking rule;
acquiring transaction information of at least one transaction from at least two data sources;
generating fund settlement data of each transaction according to the transaction information of each transaction;
and checking accounts according to the account checking rule and the fund settlement data of each transaction.
Alternatively,
the method further comprises the following steps:
presetting at least one data dimension of the fund settlement data;
the generating of the fund settlement data of each transaction according to the transaction information of each transaction comprises the following steps:
for each transaction, performing:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
Alternatively,
the reconciliation rule comprises the following steps: at least one target data dimension to be matched;
the reconciliation is carried out according to the reconciliation rule and fund settlement data of each transaction of each data source, and the reconciliation comprises the following steps:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
Alternatively,
the determining the reconciliation rule comprises the following steps:
receiving an externally input configuration command by using a configuration interface;
determining the at least one target data dimension specified by the configuration command.
Alternatively,
the at least one data dimension comprising: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
In a second aspect, an embodiment of the present invention provides an apparatus for reconciliation, where the apparatus includes:
the determining module is used for determining the reconciliation rule;
the acquisition module is used for acquiring transaction information of at least one transaction from at least two data sources;
the generating module is used for generating fund settlement data of each transaction according to the transaction information of each transaction;
and the reconciliation module is used for reconciling according to the reconciliation rule and the fund settlement data of each transaction.
Alternatively,
the apparatus further comprises:
a setting module for setting at least one data dimension of the fund settlement data;
the generating module is used for executing, aiming at each transaction:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
Alternatively,
the reconciliation rule comprises the following steps: at least one target data dimension to be matched;
the reconciliation module is used for executing:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
Alternatively,
the determining module is used for receiving an externally input configuration command by using a configuration interface and determining the at least one target data dimension specified by the configuration command.
Alternatively,
the at least one data dimension comprising: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
In the embodiment of the invention, the transaction information is acquired from each data source, the fund settlement data of each transaction is generated, and the account checking is automatically carried out according to the account checking rule and the fund settlement data.
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 flowchart of a method for reconciliation according to an embodiment of the present invention;
FIG. 2 is a flow chart of another reconciliation method provided by an embodiment of the invention;
fig. 3 is a schematic diagram of an apparatus for reconciliation 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 provides a method for reconciliation, where the method includes:
step 101: determining an account checking rule;
step 102: acquiring transaction information of at least one transaction from at least two data sources;
step 103: generating fund settlement data of each transaction according to the transaction information of each transaction;
step 104: and checking accounts according to the account checking rule and the fund settlement data of each transaction.
In the embodiment of the invention, the transaction information is acquired from each data source, the fund settlement data of each transaction is generated, and the account checking is automatically carried out according to the account checking rule and the fund settlement data.
In an embodiment of the present invention, the fund settlement data is in a fixed data format. When generating the fund settlement data of each transaction, the data is required to be filled according to a fixed data format to generate the fund settlement data.
For example, the fund settlement data may be a data table, in which at least one data item is preset, and when the fund settlement data is generated, it is only necessary to fill a corresponding value in each data item according to the transaction information.
In the embodiment of the present invention, the reconciliation rule may be a preconfigured rule, may also be an externally input rule, and may also be a rule generated according to an external configuration command.
In embodiments of the present invention, each data source may come from a different system, such as: one from the finance system, one from the procurement system, one from the business system, etc.
In the embodiment of the invention, the transaction information may include a contract, a transaction certificate, an account book, a receipt, a business mail and the like of a transaction, which reflect the true condition of the transaction.
In an embodiment of the invention, the method further comprises:
presetting at least one data dimension of the fund settlement data;
the generating of the fund settlement data of each transaction according to the transaction information of each transaction comprises the following steps:
for each transaction, performing:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
In an embodiment of the invention, the value of each data dimension is included in the funds settlement data. For example, the data dimensions include: and if the transaction amount and the transaction date are obtained from the transaction information of the transaction A, the value of the transaction amount is 10 ten thousand, the transaction date is 2018, 2, month and 3, and the generated fund settlement data of the transaction A comprises: the value of the transaction amount is 10 ten thousand, and the transaction date is 2018, 2 months and 3 days.
In an embodiment of the present invention, the at least one data dimension includes: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
Specifically, the transaction status may include: complete the transaction, tentative transaction, etc., and the account information includes: payment accounts, collection accounts, etc., sources of information including: payment vouchers, receipts, contracts, and the like, the voucher information including: payment credentials, response pieces, etc.
For example, the at least one data dimension of the funds settlement data includes: transaction amount, transaction date, transaction status, account information, information source, and document information. The funds settlement data may be implemented by the following table:
wherein, the settlement data ID is the identification of the fund settlement data.
In an embodiment of the present invention, the reconciliation rule includes: at least one target data dimension to be matched;
the reconciliation is carried out according to the reconciliation rule and fund settlement data of each transaction of each data source, and the reconciliation comprises the following steps:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
In the embodiment of the invention, the target transaction to be matched can be any transaction which is not related in the transactions of the data sources.
The values of the target data dimensions of the matching transaction and the current target transaction are the same.
For example, the target data dimensions include: and (3) transaction amount and transaction date, wherein the transaction A is the current target transaction, the transaction amount of the transaction A is 10 thousands, the transaction date is 2018, 2, month and 3 days, the transactions of which the transaction amount is 10 thousands and the transaction date is 2018, 2, month and 3 days are searched from other transactions, the transactions of which the transaction amount is 10 thousands and the transaction date is 2018, 2, month and 3 days are found, and then the transaction B is the matched transaction of the transaction A and is associated with the transaction B.
In an embodiment of the present invention, the determining the reconciliation rule includes:
receiving an externally input configuration command by using a configuration interface;
determining the at least one target data dimension specified by the configuration command.
In the embodiment of the invention, a user can configure the reconciliation rule through the configuration interface. For example, at least one data dimension is provided in the configuration interface for selection by a user, and the data dimension selected by the user is a target data dimension.
In addition, the user can configure the priority of each target data dimension through a configuration interface.
For example, the reconciliation rule can be implemented by the following table:
| description of the invention | Example of column names | Type (B) | Null value | Description of the invention |
| Dimension element | F_KEY | Varchar(80) | No | |
| Dimensional content | F_VALUE | Varchar(36) | No | |
| Priority order | F_YXJ | Varchar(36) | No | |
| Whether or not to start | F_QY | Varchar(36) | No |
And the dimension element is the identifier of the reconciliation rule. The dimension content is each target data dimension in the reconciliation rule. The preferred order is the priority of each target data dimension in the tie-out rule. Whether the account checking rule is enabled or not can be whether each target data dimension of the account checking rule is enabled or not.
A detailed description is given below of a reconciliation method provided by an embodiment of the present invention by using a specific example, as shown in fig. 2, the method includes the following steps:
step 201: at least one data dimension of the fund settlement data is preset.
For example, the fund settlement data includes the following data dimensions: transaction amount, transaction date, and transaction status.
Step 202: the configuration interface is used for receiving an externally input configuration command, at least one target data dimension specified by the configuration command is determined, and the reconciliation rule is generated according to the at least one target data dimension.
For example, the at least one target data dimension includes: transaction amount and transaction date.
In particular, the reconciliation rule supports unlimited extension and combination, and the rule priority order can be set.
Step 203: transaction information for at least one transaction is obtained from at least two data sources.
For example, transaction information for multiple transactions of the previous month is obtained from the finance system, and transaction information for multiple transactions of the previous month is obtained from the procurement system.
Step 204: for each transaction, performing: and acquiring the value of each data dimension from the transaction information of the current transaction, and generating fund settlement data of the current transaction according to the value of each data dimension.
For example, for transaction a of the financial system, if the transaction amount is 10 ten thousand, the transaction date is 2018, 2 month and 3 days, and the transaction status is the transaction completion, obtained from the transaction information of transaction a, the fund settlement data of transaction a includes: the transaction amount is 10 ten thousand, the transaction date is 2018, 2 months and 3 days, and the transaction state is the completion of the transaction.
Aiming at transaction B of a purchasing system, the transaction amount is 10 thousands, the transaction date is 2 months and 3 days in 2018, and the transaction state is the transaction completion, so the fund settlement data of the transaction B comprises the following steps: the transaction amount is 10 ten thousand, the transaction date is 2018, 2 months and 3 days, and the transaction state is the completion of the transaction.
Aiming at transaction C of the financial system, the transaction amount is 2 ten thousand, the transaction date is 2 months and 4 days in 2018, and the transaction state is the transaction completion, so the fund settlement data of the transaction C comprises the following steps: the transaction amount is 2 ten thousands, the transaction date is 2018, 2 months and 4 days, and the transaction state is the completion of the transaction.
Aiming at transaction D of the purchasing system, the transaction amount is 10 thousands, the transaction date is 2 months and 4 days in 2018, and the transaction state is the transaction completion, so the fund settlement data of the transaction D comprises the following steps: the transaction amount is 10 ten thousand, the transaction date is 2018, 2 months and 4 days, and the transaction state is the completion of the transaction.
Step 205: at least one target transaction to be matched is determined from each transaction of at least two data sources.
For example, transaction a is taken as the target transaction.
Step 206: for each target transaction to be matched, performing: determining a target value of each target data dimension of the current target transaction, searching for a matching transaction which is the same as the target value of each target data dimension of the current target transaction, and associating the matching transaction with the current target transaction.
For example, the target data dimension in the reconciliation rule is transaction amount and transaction date, the difference transaction amount and the transaction date are both the same as those of the transaction a, and a transaction B is obtained and is a matched transaction of the transaction a, and the transaction a and the transaction B are associated to realize the reconciliation for the transaction a and the transaction B.
In the embodiment of the invention, transaction information is collected, account checking rules are determined, then, data matching is carried out on transactions of at least two data sources, and the transactions conforming to the account checking rules are associated.
The reconciliation rule may be derived based on processing of historical data. In addition, a weight calculation rule can be set, the sum of weights which accord with the rule is accumulated according to the cross relationship between the analysis data and the reconciliation rule, and the optimal result is returned according to the weight sorting.
As shown in fig. 3, an embodiment of the present invention provides an apparatus for reconciliation, where the apparatus includes:
a determining module 301, configured to determine a reconciliation rule;
an obtaining module 302, configured to obtain transaction information of at least one transaction from at least two data sources;
a generating module 303, configured to generate fund settlement data for each transaction according to the transaction information of each transaction;
and the reconciliation module 304 is used for reconciling according to the reconciliation rule and the fund settlement data of each transaction.
In an embodiment of the present invention, the apparatus further comprises:
a setting module for setting at least one data dimension of the fund settlement data;
the generating module is used for executing, aiming at each transaction:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
In an embodiment of the present invention, the reconciliation rule includes: at least one target data dimension to be matched;
the reconciliation module is used for executing:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
In an embodiment of the present invention, the determining module is configured to receive an externally input configuration command through a configuration interface, and determine the at least one target data dimension specified by the configuration command.
In an embodiment of the present invention, the at least one data dimension includes: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
It is to be understood that the illustrated structure of the embodiments of the present invention does not constitute a specific limitation to the reconciliation apparatus. In other embodiments of the invention, the means for reconciling may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Because the information interaction, execution process, and other contents between the units in the device are based on the same concept as the method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
The present invention also provides a computer readable medium storing instructions for causing a computer to perform a method of reconciliation as described herein. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.
Claims (10)
1. The account checking method is characterized by comprising the following steps:
determining an account checking rule;
acquiring transaction information of at least one transaction from at least two data sources;
generating fund settlement data of each transaction according to the transaction information of each transaction;
and checking accounts according to the account checking rule and the fund settlement data of each transaction.
2. The method of claim 1,
the method further comprises the following steps:
presetting at least one data dimension of the fund settlement data;
the generating of the fund settlement data of each transaction according to the transaction information of each transaction comprises the following steps:
for each transaction, performing:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
3. The method of claim 2,
the reconciliation rule comprises the following steps: at least one target data dimension to be matched;
the reconciliation is carried out according to the reconciliation rule and fund settlement data of each transaction of each data source, and the reconciliation comprises the following steps:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
4. The method of claim 3,
the determining the reconciliation rule comprises the following steps:
receiving an externally input configuration command by using a configuration interface;
determining the at least one target data dimension specified by the configuration command.
5. The method according to any one of claims 1 to 4,
the at least one data dimension comprising: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
6. The device of reconciliation, characterized in that the device comprises:
the determining module is used for determining the reconciliation rule;
the acquisition module is used for acquiring transaction information of at least one transaction from at least two data sources;
the generating module is used for generating fund settlement data of each transaction according to the transaction information of each transaction;
and the reconciliation module is used for reconciling according to the reconciliation rule and the fund settlement data of each transaction.
7. The apparatus of claim 6, further comprising:
a setting module for setting at least one data dimension of the fund settlement data;
the generating module is used for executing, aiming at each transaction:
acquiring the value of each data dimension from the transaction information of the current transaction;
and generating fund settlement data of the current transaction according to the value of each data dimension.
8. The apparatus of claim 7,
the reconciliation rule comprises the following steps: at least one target data dimension to be matched;
the reconciliation module is used for executing:
determining at least one target transaction to be matched from the at least one transaction of the at least two data sources;
for each target transaction to be matched, performing:
determining a target value for each of the target data dimensions for a current target transaction;
searching for a matching transaction with the same target value of each target data dimension of the current target transaction;
associating the matching transaction with a current target transaction.
9. The apparatus of claim 8,
the determining module is used for receiving an externally input configuration command by using a configuration interface and determining the at least one target data dimension specified by the configuration command.
10. The apparatus according to any one of claims 6 to 9,
the at least one data dimension comprising: one or more of transaction amount, transaction date, transaction status, account information, information source, and document information.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113065952A (en) * | 2020-11-23 | 2021-07-02 | 上海金融期货信息技术有限公司 | Method and system for automatic settlement of derivatives |
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| CN105761139A (en) * | 2016-02-04 | 2016-07-13 | 上海携程商务有限公司 | Account checking system and method |
| CN106408410A (en) * | 2016-11-29 | 2017-02-15 | 用友网络科技股份有限公司 | Automatic account checking method and device |
| CN107729398A (en) * | 2017-09-19 | 2018-02-23 | 深圳金融电子结算中心有限公司 | The automatic account checking method of transaction data, server and storage medium |
| CN109166042A (en) * | 2018-09-03 | 2019-01-08 | 平安科技（深圳）有限公司 | Node device, real-time account checking method and storage medium based on block chain |
| CN109359964A (en) * | 2018-09-22 | 2019-02-19 | 深圳优讯科技有限公司 | The real-time account checking method of multi-party payment channel |
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| CN109584031A (en) * | 2018-11-23 | 2019-04-05 | 泰康保险集团股份有限公司 | Account checking method, device, electronic equipment and computer-readable medium |
| CN109670943A (en) * | 2018-12-17 | 2019-04-23 | 深圳乐信软件技术有限公司 | A kind of settlement system, method, computer equipment and storage medium |
| CN110084690A (en) * | 2019-03-18 | 2019-08-02 | 深圳壹账通智能科技有限公司 | Data processing method, device, computer installation and storage medium |
| CN110223153A (en) * | 2019-04-17 | 2019-09-10 | 深圳壹账通智能科技有限公司 | Account checking method, device, electronic equipment and storage medium |
| CN110533392A (en) * | 2019-09-02 | 2019-12-03 | 山东浪潮通软信息科技有限公司 | A kind of realization method and system confirming capital settlement attribution data unit |
Cited By (1)
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| CN113065952A (en) * | 2020-11-23 | 2021-07-02 | 上海金融期货信息技术有限公司 | Method and system for automatic settlement of derivatives |
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Application publication date: 20200724 |