Block chain-based cross-border security business settlement method and system

Abstract

The invention discloses a cross-border security business settlement method and system based on a block chain, and relates to the technical field of financial securities, and the method comprises the steps: building a plurality of network transaction nodes and monitoring nodes based on a block chain network; according to the invention, a plurality of network transaction nodes and monitoring nodes are created based on the block chain network, the transaction order information issuing instruction is generated, transaction order real-time matching is carried out according to the preset transaction matching principle, the order information is matched with the exchange in real time, and the transaction order information is automatically selected for transaction. The method comprises the following steps: acquiring an initial smart contract, correcting the initial smart contract in real time, identifying a payable state through a preset payout condition, transmitting a payout passing instruction to the initial smart contract, and obtaining an amount data set involved in a transaction process by adopting a preset automatic identification rule during payout according to data information in the real-time smart contract; therefore, the amount of money in the transaction process can be cleared in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of financial securities, and particularly to a cross-border securities business settlement method and system based on blockchain. Background Art

[0002] Cross-border securities business settlement refers to the process in which, after a securities transaction involving different countries or regions is completed, the two parties to the transaction conduct the actual delivery and receipt of securities and funds according to the agreed rules and procedures. This process ensures that both the buyer and the seller can smoothly transfer the ownership of the securities and settle the corresponding funds. In traditional cross-border securities business settlement, multiple intermediary institutions are involved, such as international central securities depositories, local central securities depositories, brokers, etc.;

[0003] In traditional cross-border securities transactions and cross-border securities clearing processes, order matching and negotiation rely on the trading systems of exchanges in different regions. There are problems of delay and inefficiency in information interaction between systems, which will lead to a reduction in the execution efficiency of transactions. When conducting transaction clearing, due to the involvement of multiple clearing institutions and complex reconciliation processes, a large amount of time and labor costs are required. Therefore, when the continuity of transactions is affected, it may lead to losses of funds and securities for investors. Transaction data is scattered in different institutional systems, and it is difficult to ensure data consistency, and errors are prone to occur during the clearing process.

[0004] In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to: automatically match buy and sell orders in real time according to preset rules, automatically route the orders to the optimal trading venue for matching, improve the execution efficiency of transactions, and at the same time, according to the smart contract for real-time settlement, automatically calculate the net receivables and payables of all parties sharing at the moment of the transaction conclusion.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A cross-border securities business settlement method based on blockchain, comprising the following steps:

[0007] Step 1: Create multiple network trading nodes and monitoring nodes based on the blockchain network. During the cross-border securities business settlement process, establish the transaction order information of cross-border securities according to the network trading nodes;

[0008] Step 2: During the process of transmitting the transaction order information through the general trading platform, the transaction order information is issued and an instruction is issued. The preliminary smart contract is generated through the transaction order information. The transaction order is automatically matched in real time according to the preset transaction matching principle through the preliminary smart contract. The transaction variables of different exchanges are obtained according to the network transaction nodes, and the transaction order information is compared and analyzed to obtain the transaction matching analysis results. The transaction order information is automatically selected for transaction according to the matching analysis results;

[0009] Step 3: According to the monitoring node, the real-time securities market dynamic requirements are obtained, and the parameter adjustment coefficient is generated. The preliminary smart contract is corrected in real time through the parameter adjustment coefficient. The evaluation data is extracted through the order information to obtain the user credit evaluation coefficient. The user is divided into credit levels according to the credit evaluation coefficient, and the user asset guarantee analysis results are generated according to the credit level to obtain a real-time smart contract;

[0010] Step 4: Generate the user asset guarantee analysis results according to the credit level, query and verify the accounts of both parties of the transaction order in real time, identify the deliverable status through the preset delivery conditions, and generate a delivery instruction, which is then passed to the preliminary smart contract to obtain the delivery instruction;

[0011] Step 5: Obtain the delivery instruction, and according to the data information in the real-time smart contract, use the preset automatic identification rules at the time of delivery to obtain the amount data set involved in the transaction process, calculate the net amount receivable and payable through the amount data set and pass it to the total transaction platform.

[0012] Furthermore, the network transaction node and monitoring node created in step 1 are:

[0013] Each of them sets up corresponding regulatory accounts and management nodes for investors and exchanges, and encrypts and stores identity information on the blockchain through multi-factor identity authentication technology;

[0014] Before establishing a trading order, investors are given a self-managed digital identity, which is then shared with the exchanges involved after encryption.

[0015] Furthermore, in step 2, the specific process of performing real-time transaction matching according to the preset transaction matching principle is as follows:

[0016] S01. The preset transaction matching principle is to judge based on the transaction time, and sort and match the transaction types according to the priority of the transaction time;

[0017] S02. Set the access node for the trading order information, match the corresponding language data processing library and data standard mechanism, set up a pre-matching buffer, temporarily store the sorted orders, divide different regions according to the trading variety and market area, and pre-query the matchable trading orders.

[0018] S03. According to the obtained real-time trading order information, match the order with the trader at the trading time in real time, and the obtained trading order information is the latest transaction.

[0019] Further, the specific process of obtaining the trading match analysis result is as follows:

[0020] S10. Sort different exchanges according to the trading quantity and trading amount, obtain the exchange sorting table, and preset the trading quantity and trading amount as trading variables.

[0021] S100. Obtain the specific content of the trading order information, automatically identify the trading quantity and trading amount, and query the corresponding exchange to obtain the matching analysis result of the exchange.

[0022] S101. According to the matching analysis result of the exchange, automatically match the exchange with a high matching degree, and conduct an automatic transaction of the trading order between both parties.

[0023] Further, the specific process of obtaining the real-time smart contract is as follows:

[0024] S200. According to the requirement of obtaining the real-time dynamics of the securities market from the monitoring node, conduct a real-time comparative analysis of the involved trading data, analyze the data change situation through the real-time trading data and the previous trading data, and generate a parameter adjustment coefficient according to the magnitude of the change. The specific calculation process is as follows:

[0025] Preset the real-time trading data as R and the previous trading data as P.

[0026] S201. Extract the evaluation data through the order information to obtain the user credit evaluation coefficient, and divide the users into credit and non-credit users according to the credit evaluation coefficient.

[0027] S202. According to the parameter adjustment coefficient and the user asset guarantee analysis result generated according to the credit level, process the preliminary smart contract to obtain the real-time smart contract.

[0028] Further, the specific process of identifying the deliverable status through the preset delivery conditions is as follows:

[0029] S300. At the settlement time, obtain the account status of all parties to the real-time transaction through the network monitoring node, and verify the user's fund arrival status and the securities deliverable status.

[0030] S301. Obtain the regulatory accounts of the two parties to the transaction, verify the account balances of the two parties' regulatory accounts, and synchronize the balance information to both parties for query.

[0031] S303. Verify the settlement time set by the real-time smart contract, and perform fund and securities transfer operations according to the contract terms. At the same time, update the account balances and transaction records of both parties to the transaction.

[0032] Further, the preset automatic recognition rules adopted during settlement specifically include the following process:

[0033] S400. Obtain the specific transaction data of previous transaction orders, perform correlation analysis based on the transaction data, and obtain the influence ratio between the transaction amounts in the transaction data, which is preset as the affected transaction data.

[0034] S401. Identify the required transaction data based on the data information in the real-time smart contract, and obtain the amount data set involved in the transaction process.

[0035] S403. Calculate the net transaction amount through the amount data set. The calculation process is as follows:

[0036] Let R ij represent the amount of funds received by participant i from participant j, and P ij represent the amount of funds paid by participant i to participant j, where j = 1, 2, 3,..., n and i ≠ j.

[0037] The calculation formula is:

[0038] A cross-border securities business settlement system based on blockchain, including a transaction information module, a transaction generation module, a transaction execution module, and a transaction receiving module.

[0039] The transaction information module creates multiple network transaction nodes and monitoring nodes based on the blockchain network, obtains the transaction order information of cross-border securities created by both parties to the transaction, encrypts it, and uploads it to the blockchain network.

[0040] The transaction generation module is used for transaction order information, generates a transaction order information issuance instruction, generates a preliminary smart contract through the transaction order information issuance instruction, automatically performs real-time matching of transaction orders according to the preset transaction matching principle through the preliminary smart contract, obtains the trading variables of different exchanges based on the network transaction nodes, conducts a comparative analysis of the transaction order information, obtains the transaction matching analysis result, and automatically selects the transaction order information according to the matching analysis result.

[0041] The transaction execution module is used to generate a parameter adjustment coefficient according to the requirements of the monitoring node for obtaining the real-time dynamics of the securities market, perform real-time correction on the preliminary smart contract through the parameter adjustment coefficient, extract evaluation data through order information to obtain a user credit evaluation coefficient, divide the user's credit level according to the credit evaluation coefficient, generate an analysis result of the user's asset guarantee according to the credit level, and obtain a real-time smart contract;

[0042] The transaction preparation module is used to generate an analysis result of the user's asset guarantee according to the credit level, query and verify the accounts of both parties of the transaction order in real time, identify the deliverable status through preset delivery conditions to generate a delivery pass instruction, and transfer it to the preliminary smart contract according to the delivery pass instruction to obtain a delivery transfer instruction;

[0043] The transaction receiving module is used to obtain the delivery transfer instruction, and adopt a preset automatic recognition rule during delivery according to the data information in the real-time smart contract to obtain the transaction process.

[0044] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are:

[0045] The cross-border securities business delivery method and system based on blockchain create multiple network trading nodes and monitoring nodes through the blockchain network, generate a trading order information issuing instruction, perform real-time matching of trading orders according to preset trading matching principles, perform real-time matching of order information with the exchange, automatically select trading order information for trading, and perform real-time correction on the preliminary smart contract, identify the deliverable status through preset delivery conditions, transfer it to the preliminary smart contract according to the delivery pass instruction, and adopt a preset automatic recognition rule during delivery according to the data information in the real-time smart contract to obtain the amount data set involved in the transaction process, so as to facilitate real-time settlement of the amount in the transaction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Shows the schematic structural diagram of the method flow of the present invention;

[0047] Figure 2 Shows the schematic structural diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] Example 1:

[0050] As Figure 1 shown, a cross-border securities business settlement method based on blockchain includes the following steps:

[0051] Step 1: Create multiple network trading nodes and monitoring nodes based on the blockchain network. During the settlement process of cross-border securities business, establish transaction order information of cross-border securities according to the network trading nodes;

[0052] Step 2: During the transmission of transaction order information through the total trading platform, generate a transaction order information issuance instruction. Generate a preliminary smart contract through the transaction order information issuance instruction. Automatically perform real-time matching of transaction orders according to the preset transaction matching principle through the preliminary smart contract. Obtain trading variables of different exchanges according to the network trading nodes, conduct comparative analysis on the transaction order information, obtain a transaction matching analysis result, and automatically select transaction order information for trading according to the matching analysis result;

[0053] Step 3: Generate a parameter adjustment coefficient according to the real-time securities market dynamics requirements obtained by the monitoring nodes. Perform real-time correction on the preliminary smart contract through the parameter adjustment coefficient. Extract evaluation data through the order information to obtain a user credit evaluation coefficient. Divide the user's credit level according to the credit evaluation coefficient. Generate a user asset guarantee analysis result according to the credit level to obtain a real-time smart contract;

[0054] Step 4: Generate a user asset guarantee analysis result according to the credit level. Real-time query and verify the accounts of both parties of the transaction order. Identify the deliverable status through the preset settlement conditions to generate a settlement approval instruction. Transmit the settlement approval instruction to the preliminary smart contract to obtain a settlement transmission instruction;

[0055] Step 5: Obtain the settlement transmission instruction, and according to the data information in the real-time smart contract, adopt a preset automatic recognition rule during settlement to obtain the amount data set involved in the transaction process. Calculate the net receivables and payables through the amount data set and transmit it to the total trading platform.

[0056] When creating the network trading nodes and monitoring nodes in Step 1:

[0057] Both set up regulatory accounts and management nodes corresponding to investors and exchanges, and encrypt and store the identity information on the blockchain through multi-factor identity authentication technology;

[0058] Assign an independently managed digital identity identifier to the investor before establishing the transaction order, which is used to be shared with the involved exchanges after encryption processing.

[0059] In the second step mentioned above, the specific process of real-time transaction matching according to the preset transaction matching principle is as follows:

[0060] S01. The preset transaction matching principle is to judge according to the transaction time, and sort and match the transaction types according to the priority order of transaction time;

[0061] S02. Set the access nodes of the transaction order information, match the corresponding language data processing library and data standard mechanism, set up a pre-matching buffer area, temporarily store the sorted orders, divide different regions according to the transaction variety and market area, and pre-query the matchable transaction orders;

[0062] S03. According to the obtained real-time transaction order information, match the order with the trader at the transaction time in real time, and the obtained transaction order information is the latest transaction.

[0063] The specific process of obtaining the transaction matching analysis result is as follows:

[0064] S10. Sort different exchanges according to the transaction quantity and transaction amount, obtain the exchange sorting table, and preset the transaction quantity and transaction amount as transaction variables;

[0065] S100. Obtain the specific content of the transaction order information, automatically identify the transaction quantity and transaction amount, and query the corresponding exchange to obtain the matching analysis result of the exchange;

[0066] S101. According to the matching analysis result of the exchange, automatically match the exchanges with high matching degrees, and conduct automatic transactions between both parties of the transaction order.

[0067] The specific process of obtaining the real-time smart contract is as follows:

[0068] S200. According to the requirement of obtaining the real-time dynamics of the securities market from the monitoring nodes, conduct real-time comparative analysis on the involved transaction data, analyze the data change situation through the real-time transaction data and the previous transaction data, and generate a parameter adjustment coefficient according to the magnitude of the change. The specific calculation process is as follows:

[0069] Preset the real-time transaction data as R and the previous transaction data as P.

[0070] S201. Extract evaluation data through the order information to obtain the user credit evaluation coefficient, and divide the users into credit and non-credit users according to the credit evaluation coefficient;

[0071] S202. According to the parameter adjustment coefficient and the user asset guarantee analysis result generated according to the credit level, process the preliminary smart contract to obtain the real-time smart contract.

[0072] The specific process of identifying the deliverable status through preset settlement conditions is as follows:

[0073] S300. At the settlement moment, obtain the account status of all real-time trading parties through the network monitoring nodes, and verify the user's fund arrival status and the securities deliverable status;

[0074] S301. Obtain the regulatory accounts of both trading parties, verify the account balances of both regulatory accounts, and synchronize the balance information to both parties for query;

[0075] S303. Verify the settlement time set by the real-time smart contract, and perform fund and securities transfer operations according to the contract terms. At the same time, update the account balances and trading records of both trading parties.

[0076] The specific process of adopting the preset automatic recognition rules during settlement specifically includes the following:

[0077] S400. Obtain the specific transaction data of previous trading order information, perform correlation analysis based on the transaction data, and obtain the influence ratio between each trading amount in the transaction data, which is preset as the affected transaction data;

[0078] S401. According to the data information in the real-time smart contract, identify the required transaction data, and obtain the amount data set involved in the trading process;

[0079] S403. Calculate the net trading amount through the amount data set. The calculation process is as follows:

[0080] Let R ij represent the amount of funds received by participant i from participant j, and P ij represent the amount of funds paid by participant i to participant j, where j = 1, 2, 3,..., n and i ≠ j,

[0081] The calculation formula is:

[0082] Embodiment 2:

[0083] As Figure 2 shown, a cross-border securities business settlement system based on blockchain includes a trading information module, a trading generation module, a trading execution module, and a trading receiving module;

[0084] The trading information module creates multiple network trading nodes and monitoring nodes based on the blockchain network, obtains the trading order information of cross-border securities created by both trading parties, and uploads it to the blockchain network after encryption;

[0085] The transaction generation module is used to process transaction order information, generate a transaction order information issuance instruction, generate a preliminary smart contract through the transaction order information issuance instruction, automatically perform real-time matching of transaction orders according to the preset transaction matching principle through the preliminary smart contract, obtain transaction variables of different exchanges based on network transaction nodes, conduct comparative analysis on the transaction order information, obtain a transaction matching analysis result, and automatically select transaction order information for transactions according to the matching analysis result;

[0086] The transaction execution module is used to generate a parameter adjustment coefficient according to the requirement of obtaining real-time securities market dynamics from monitoring nodes, perform real-time correction on the preliminary smart contract through the parameter adjustment coefficient, extract evaluation data through order information to obtain a user credit evaluation coefficient, divide the user's credit level according to the credit evaluation coefficient, generate a user asset guarantee analysis result according to the credit level, and obtain a real-time smart contract;

[0087] The transaction preparation module is used to generate a user asset guarantee analysis result according to the credit level, query and verify the accounts of both parties to the transaction order in real time, identify the deliverable status through the preset delivery conditions to generate a delivery approval instruction, and transfer it to the preliminary smart contract according to the delivery approval instruction to obtain a delivery transfer instruction;

[0088] The transaction receiving module is used to obtain the delivery transfer instruction, and according to the data information in the real-time smart contract, adopt the preset automatic recognition rule during delivery to obtain the amount data set involved in the transaction process, and calculate the net amount receivable and payable through the amount data set and transfer it to the total transaction platform.

[0089] The setting of the size of the interval and threshold is for the convenience of comparison. Regarding the size of the threshold, it depends on the amount of sample data and the number of base numbers set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameters and the quantified values.

[0090] The above formulas are all dimensionless and take their numerical values for calculation. The formula is a formula obtained by software simulation of a large amount of collected data to approximate the real situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation;

[0091] In the two embodiments provided by the present application, it should be understood that the disclosed methods and systems can be implemented in other ways; for example, the method embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be an indirect coupling or communication connection through some interfaces, methods or modules, and can be in electrical, mechanical or other forms;

[0092] As mentioned above, the above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent replacements or changes, and should be covered by the protection scope of the present invention.

Claims

1. A cross-border securities business settlement method based on blockchain, characterized in that: The following steps are involved: Step 1: Create multiple network transaction nodes and monitoring nodes based on the blockchain network. During the settlement of cross-border securities business, establish the transaction order information of cross-border securities based on the network transaction nodes; Step 2: During the process of transmitting the transaction order information through the general trading platform, the transaction order information is issued and an instruction is issued. The preliminary smart contract is generated through the transaction order information. The transaction order is automatically matched in real time according to the preset transaction matching principle through the preliminary smart contract. The transaction variables of different exchanges are obtained according to the network transaction nodes, and the transaction order information is compared and analyzed to obtain the transaction matching analysis results. The transaction order information is automatically selected for transaction according to the matching analysis results; Step 3: According to the monitoring node, the real-time securities market dynamic requirements are obtained, and the parameter adjustment coefficient is generated. The preliminary smart contract is corrected in real time through the parameter adjustment coefficient. The evaluation data is extracted through the order information to obtain the user credit evaluation coefficient. The user is divided into credit levels according to the credit evaluation coefficient, and the user asset guarantee analysis results are generated according to the credit level to obtain a real-time smart contract; Step 4: Generate the user asset guarantee analysis results according to the credit level, query and verify the accounts of both parties of the transaction order in real time, identify the deliverable status through the preset delivery conditions, and generate a delivery instruction, which is then passed to the preliminary smart contract to obtain the delivery instruction; Step 5: Obtain the delivery instruction, and according to the data information in the real-time smart contract, use the preset automatic identification rules at the time of delivery to obtain the amount data set involved in the transaction process, calculate the net amount receivable and payable through the amount data set and pass it to the total transaction platform.

2. The cross-border securities business settlement method based on blockchain according to claim 1 is characterized in that: When the network transaction node and monitoring node are created in step 1: Each of them sets up corresponding regulatory accounts and management nodes for investors and exchanges, and encrypts and stores identity information on the blockchain through multi-factor identity authentication technology; Before establishing a trading order, investors are given a self-managed digital identity, which is then shared with the exchanges involved after encryption.

3. The cross-border securities business settlement method based on blockchain according to claim 1 is characterized in that: In step 2, the specific process of performing real-time transaction matching according to the preset transaction matching principle is as follows: S01. The preset transaction matching principle is to judge based on the transaction time, and sort and match the transaction types according to the priority of the transaction time; S02. Set the access node for transaction order information, match the corresponding language data processing library and data standard mechanism, set up a pre-matching buffer, temporarily store the sorted orders, divide different areas according to transaction types and market areas, and pre-query the matching transaction orders; S03. According to the acquired real-time transaction order information, the order is matched with the trader at the transaction time in real time, and the acquired transaction order information is the latest transaction.

4. The cross-border securities business settlement method based on blockchain according to claim 1 is characterized in that: The specific process of obtaining the transaction matching analysis results is as follows: S10. According to the transaction quantity and transaction amount of different exchanges, different exchanges are sorted by quantity and amount to obtain an exchange sorting table, and the transaction quantity and transaction amount are preset as transaction variables; S100, obtaining the specific content of the transaction order information, automatically identifying the transaction quantity and transaction amount, and querying the corresponding exchange to obtain the matching analysis result of the exchange; S101. According to the matching analysis results of the exchanges, select exchanges with high matching degree for automatic matching, and automatically trade the transaction orders between the two parties.

5. The blockchain-based cross-border securities business settlement method and system according to claim 1, characterized in that: The specific process of obtaining a real-time smart contract is as follows: S200, according to the monitoring node to obtain the real-time securities market dynamics requirements, the real-time comparative analysis of the transaction data involved is carried out, the data change is analyzed by comparing the real-time transaction data with the previous transaction data, and the parameter adjustment coefficient is generated according to the size of the change. The specific calculation process is: The preset real-time transaction data is R, and the previous transaction data is P. S201, extracting evaluation data from order information to obtain a user credit evaluation coefficient, and classifying users into credit-worthy and credit-unworthy users according to the credit evaluation coefficient; S202. According to the parameter adjustment coefficient and the user asset guarantee analysis result generated according to the credit level, the preliminary smart contract is processed to obtain a real-time smart contract.

6. The cross-border securities business settlement method based on blockchain according to claim 1 is characterized in that: The specific process of identifying the deliverable status through the preset delivery conditions is as follows: S300. At the time of delivery, the account status of all parties to the transaction is obtained through the network monitoring node in real time, and the user's funds arrival status and the securities delivery status are verified; S301. Obtain the regulatory accounts of both parties to the transaction, verify the account balances of both parties' regulatory accounts, and synchronize the balance information to both parties for query; S303: Verify the delivery time set by the real-time smart contract, transfer funds and securities according to the terms of the contract, and update the account balances and transaction records of both parties to the transaction.

7. The cross-border securities business settlement method based on blockchain according to claim 1 is characterized in that: The use of preset automatic identification rules during delivery specifically includes the following processes: S400, obtaining specific transaction data of previous transaction order information, performing correlation analysis based on the transaction data, obtaining the influence ratio between each transaction amount in the transaction data, and presetting it as the influenced transaction data; S401. According to the data information in the real-time smart contract, the required transaction data is identified to obtain the amount data set involved in the transaction process; S403. Calculate the net transaction amount using the amount data set. The calculation process is as follows: Let R ij represents the amount of funds received by participant i from participant j, P ij represents the amount of funds paid by participant i to participant j, j = 1, 2, 3, ..., n and i ≠ j, The calculation formula is:

8. The cross-border securities business settlement system based on blockchain according to claim 1 is characterized in that: It includes a transaction information module, a transaction generation module, a transaction execution module, and a transaction receiving module; The transaction information module creates multiple network transaction nodes and monitoring nodes based on the blockchain network, obtains transaction order information of cross-border securities created by both parties to the transaction, and uploads it to the blockchain network after encryption; The transaction generation module is used for transaction order information, and generates transaction order information issuance instructions, generates a preliminary smart contract through the transaction order information issuance instructions, automatically performs real-time matching of transaction orders according to a preset transaction matching principle through the preliminary smart contract, obtains transaction variables of different exchanges according to network transaction nodes, compares and analyzes the transaction order information, obtains transaction matching analysis results, and automatically selects the transaction order information for transaction according to the matching analysis results; The transaction execution module is used to obtain real-time securities market dynamic requirements according to the monitoring node, generate parameter adjustment coefficients, perform real-time corrections on the preliminary smart contract through the parameter adjustment coefficients, extract evaluation data through order information, obtain user credit evaluation coefficients, classify users into credit levels according to the credit evaluation coefficients, generate user asset guarantee analysis results according to the credit levels, and obtain real-time smart contracts; The transaction preparation module is used to generate the user asset guarantee analysis results according to the credit level, query and verify the accounts of both parties of the transaction order in real time, identify the deliverable status through the preset delivery conditions, generate the delivery instruction, and transmit it to the preliminary smart contract according to the delivery instruction to obtain the delivery instruction; The transaction receiving module is used to obtain the delivery instruction, and according to the data information in the real-time smart contract, adopt the preset automatic identification rules at the time of delivery to obtain the amount data set involved in the transaction process, calculate the net amount receivable and payable through the amount data set and transmit it to the total transaction platform.

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