CN117437043A

CN117437043A - Transaction data processing method, device, equipment and medium

Info

Publication number: CN117437043A
Application number: CN202310909180.4A
Authority: CN
Inventors: 莫文扬; 郑荣廷; 张玉
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2023-07-24
Filing date: 2023-07-24
Publication date: 2024-01-23

Abstract

The disclosure provides a transaction data processing method for a policy configuration end and a quotation engine, and relates to the field of big data or finance. The transaction data processing method for the policy configuration terminal comprises the following steps: receiving current market quotation data sent by a quotation engine; triggering M target transaction strategies from N pre-configured transaction strategies based on the current market quotation data, wherein each transaction strategy comprises at least one transaction rule; processing transaction information in the current market quotation data according to respective transaction rules of the M target transaction strategies to generate M transaction instructions; and sending the M transaction instructions to the quotation engine, wherein the quotation engine is used for executing the M transaction instructions to complete at least one financial transaction. The present disclosure also provides transaction data processing apparatus, devices, storage media and program products for the policy configuration side and the quotation engine, respectively.

Description

Transaction data processing method, device, equipment and medium

Technical Field

The present disclosure relates to the field of big data or finance, and more particularly, to a transaction data processing method, apparatus, device, medium, and program product.

Background

Financial transactions (such as Renminbi interest rate transaction service) are active in off-site markets, and the transaction data processing speed is high due to the diversity of off-site market targets, frequent bargaining activities, high customer timeliness requirements, high market making strength and other transaction characteristics.

In the related art, traders usually perform more manual operations, and are difficult to flexibly configure a trading strategy, so that the defects of low operation efficiency, poor reliability, insufficient expandability and the like exist in the aspects of data processing, trading strategy execution and the like. Therefore, how to increase the transaction data processing speed is a current urgent problem to be solved.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a transaction data processing method, apparatus, device, medium, and program product.

In one aspect of the embodiments of the present disclosure, a transaction data processing method is provided, which is used for a policy configuration terminal, and includes: receiving current market quotation data sent by a quotation engine; triggering M target transaction strategies from N pre-configured transaction strategies based on the current market quotation data, wherein each transaction strategy comprises at least one transaction rule N, M which is an integer greater than or equal to 1, and N is greater than or equal to M; processing transaction information in the current market quotation data according to respective transaction rules of the M target transaction strategies to generate M transaction instructions; and sending the M transaction instructions to the quotation engine, wherein the quotation engine is used for executing the M transaction instructions to complete at least one financial transaction.

According to an embodiment of the present disclosure, sending the M transaction instructions to the quotation engine includes: packaging the M transaction instructions into M transaction messages, wherein each transaction message comprises a field for indicating transaction attributes; and sending the M transaction messages to the quotation engine.

According to an embodiment of the present disclosure, the first transaction policy is any one of the M target transaction policies, and the generating the M transaction instructions includes generating the first transaction instruction: acquiring a current quotation state executed by the quotation engine under the first transaction strategy; processing the transaction information according to the transaction rules of the first transaction strategy, and updating the current quotation state; and generating the first transaction instruction according to the updated quotation state.

According to an embodiment of the disclosure, the first transaction policy includes a follow-up bid policy, processing the transaction information according to a transaction rule of the first transaction policy, and updating the current bid state includes: obtaining transaction information of a plurality of transaction parties from the current market quotation data, wherein each transaction party provides at least one transaction information, and each transaction information at least comprises a quotation source, a quotation and a transaction amount; determining an up-to-date offer for the follower based on the transaction information for the plurality of transaction parties; and updating the current quotation state according to the latest quotation.

According to an embodiment of the disclosure, the first trading strategy includes a bid amount weighted average price strategy, processing the trading information according to a trading rule of the first trading strategy, and updating the current bid state includes: obtaining transaction information of a plurality of transaction parties from the current market quotation data, wherein each transaction party provides at least one transaction information, and each transaction information at least comprises a quotation source, a quotation and a transaction amount; calculating a weighted average expiration yield or a weighted average price according to S transaction information, wherein S is an integer greater than or equal to 2; obtaining the latest hanging price lattice based on the weighted average due yield or the weighted average price; and if the latest price of the hanging bill is different from the price of the hanging bill in the current quotation state, updating the current quotation state according to the latest price grid.

According to an embodiment of the present disclosure, the policy configuration terminal includes a message middleware, and the receiving the current market quotation data sent by the quotation engine includes: receiving initial quotation data sent by the quotation engine by utilizing the message middleware to form a message to be processed; and consuming the message to be processed from the message middleware to obtain the current market quotation data.

According to an embodiment of the disclosure, the policy configuration side includes a simulation policy node, and before the M transaction instructions are sent to the quotation engine, the method further includes performing, with the simulation policy node, the following operations: triggering M target simulation transaction strategies from N preset simulation transaction strategies based on the current market quotation data; processing transaction information in the current market quotation data according to respective transaction rules of the M target simulation transaction strategies to generate M simulation transaction instructions; and executing the simulated transaction based on the M simulated transaction instructions.

According to an embodiment of the present disclosure, the method further comprises: responding to transaction inquiry operation of a user on any one of the N transaction strategies, and acquiring a transaction account of the strategy to be inquired; displaying the transaction ledger in a first area of a display page; wherein the presentation page further comprises a second area configured to allow accepting a data processing operation by the user, the first area being configured to change the currently presented content in response to the data processing operation.

Another aspect of an embodiment of the present disclosure provides a transaction data processing method for a quotation engine, including: acquiring current market quotation data; the current market quotation data is sent to a strategy configuration end, and the strategy configuration end is used for executing the method for the strategy configuration end to send M transaction instructions according to any one of the above; receiving the M transaction instructions sent by the strategy configuration end, wherein M is an integer greater than or equal to 1; and executing the M transaction instructions to complete at least one financial transaction.

Another aspect of the embodiments of the present disclosure provides a transaction data processing apparatus, configured to be used by a policy configuration terminal, including: the quotation receiving module is used for receiving the current market quotation data sent by the quotation engine; the strategy triggering module is used for triggering M target transaction strategies from N pre-configured transaction strategies based on the current market quotation data, wherein each transaction strategy comprises at least one transaction rule N, M which is an integer greater than or equal to 1, and N is greater than or equal to M; the instruction generation module is used for processing the transaction information in the current market quotation data to generate M transaction instructions according to the transaction rules of the M target transaction strategies; the instruction sending module is used for sending the M transaction instructions to the quotation engine, and the quotation engine is used for executing the M transaction instructions to complete at least one financial transaction.

Another aspect of an embodiment of the present disclosure provides a transaction data processing apparatus for a quotation engine, comprising: the market quotation acquisition module is used for acquiring current market quotation data; the market quotation sending module is used for sending the current market quotation data to a strategy configuration end, and the strategy configuration end is used for executing the method for the strategy configuration end to send M transaction instructions according to any one of the above; the instruction receiving module is used for receiving the M transaction instructions sent by the strategy configuration end, wherein M is an integer greater than or equal to 1; and the instruction execution module is used for executing the M transaction instructions to complete at least one financial transaction.

Another aspect of an embodiment of the present disclosure provides an electronic device, including: one or more processors; and a storage means for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method as described above.

Another aspect of the disclosed embodiments also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the method as described above.

Another aspect of the disclosed embodiments also provides a computer program product comprising a computer program which, when executed by a processor, implements a method as described above.

One or more of the above embodiments have the following advantages: the strategy configuration end and the quotation engine are in butt joint, automatic triggering and autonomous implementation of a transaction strategy are achieved through data interaction, transaction information in current market quotation data is processed through transaction rules of a target transaction strategy to generate M transaction instructions, the M transaction instructions are sent to the quotation engine to automatically complete financial transaction, timeliness of quotation data access is improved, application range of the transaction strategy is expanded, generation, issuing and execution efficiency of the transaction instructions are improved, and therefore transaction data processing speed is improved.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of a transaction data processing method according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a transaction data processing method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart of receiving current market quotation data according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow diagram for generating a first transaction instruction according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart of updating the current bid state in accordance with an embodiment of the present disclosure;

FIG. 6 schematically illustrates a flow chart of executing a target transaction policy according to an embodiment of the disclosure;

FIG. 7 schematically illustrates a market-making bid Maker party pulling market-making policy order state flow diagram according to an embodiment of the present disclosure;

FIG. 8 schematically illustrates a flow chart of performing an anonymous quotation Maker party bagging marketing strategy, according to an embodiment of the present disclosure;

FIG. 9 schematically illustrates an anonymous quotation Maker party pulling marketing strategy order state flow diagram, according to an embodiment of the present disclosure;

FIG. 10 schematically illustrates a flow chart of updating a current bid state in accordance with another embodiment of the present disclosure;

FIG. 11A schematically illustrates a flow chart of a simulation test in accordance with an embodiment of the present disclosure;

FIG. 11B schematically illustrates a scenario diagram of a simulation test, according to an embodiment of the present disclosure;

FIG. 12 schematically illustrates a flow chart of policy monitoring according to an embodiment of the disclosure;

FIG. 13 schematically illustrates a block diagram of a transaction data processing device for a policy configuration side according to an embodiment of the present disclosure;

FIG. 14 schematically illustrates a block diagram of a transaction data processing device for a quotation engine in accordance with an embodiment of the present disclosure; and

fig. 15 schematically illustrates a block diagram of an electronic device adapted to implement a transaction data processing method according to an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

It should be noted that the transaction data processing method and apparatus provided by the present disclosure may be used in the financial field in the aspect of data processing of quantized transactions, and may also be used in any field other than the financial field, and the application field of the present disclosure is not limited.

Fig. 1 schematically illustrates an application scenario diagram of a transaction data processing method according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example to which embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not use other devices, systems, environments, or scenarios.

As shown in fig. 1, an application scenario 100 of the transaction data processing method includes a foreign exchange transaction center 110, a financial market transaction management system (Financial Markets Business Management, FMBM) 120, a ComStar quotation engine 130, a financial market sharing data service (Financial Markets Data Service, FMDS) 140, a quantized investment trading platform (Quantitative Investment and Trading, hereinafter F-QIT) policy node 150, an F-QIT monitoring node 160, and a data lake (Big Data Platform, BDP) 170.

The foreign exchange trading center 110 can provide a home currency trading system and a home currency client, and my traders can initiate offers at the ComStar offer engine 130 or automatically offer by an automated offer engine. And the opponent trader may initiate the offer at the home currency client. The foreign exchange trading center 110 can also provide current market quotation data to the ComStar quotation engine 130.

The foreign exchange transaction center 110 can provide a transaction of a foreign exchange market between banks, and can conduct a transaction between the RMB and the foreign exchange between internal financial institutions (including middle and foreign banking banks and non-banking financial institutions) operating the foreign exchange business through a home currency transaction system of the foreign exchange transaction center.

It is understood that the foreign exchange center 110 is only one of the alternative "inter-bank markets," which may also include the peer-to-peer borrowing market, the ticket market, the bond market, the gold market, and the like.

The financial market transaction management system 120 may process the quantized investment transaction policies and perform transaction pre-risk control, transaction approval, batch bookkeeping, and data center management functions. One or more wind control indexes and wind control strategies can be configured, so that the aim of controlling the risk before transaction is fulfilled.

The ComStar bid engine 130, also known as an automatic bid engine, can handle coupon sales (dialogue bid, request bid, double-sided bid, anonymous bid) and other bid forms of interest rate interchange (anonymous bid). For example, in response to a trade initiated by a trader based on one or more bidding approaches, the automatic quotation engine may access one or more bidding sources in real-time, process the brands using its own processing mechanism or bidding strategy, and issue the composite bid to the trader for subsequent trading in accordance with the prices. The automatic quotation engine can be further configured with one or more quotation strategies, wind control indexes and wind control strategies, so that the aim of controlling the risk before transaction is fulfilled. The ComStar bid engine 130 is merely an alternative way of a bid engine and embodiments of the present disclosure are not limited in this regard.

The financial market share data service 140 is built based on Kafka (high throughput distributed publish-subscribe messaging system) message middleware for storing messages to promote inter-application information interaction rates.

The F-QIT strategy node 150 is also called a real disc strategy node, and a transactor with corresponding authority can select a corresponding transaction strategy and configure strategy parameters, and starts the strategy to automatically execute and continuously monitor. In the strategy operation process, a trader continuously monitors the operation condition and operation index of the strategy in the system and operates according to factors such as market environment and the like as required. The node automatically performs the steps of data cleaning, transaction execution, order hanging, price release and the like according to the policy logic, completes the whole flow of market making and order transaction, and systematically and intelligently develops the market making transaction.

The system and the method support traders to conveniently complete the selection, the configuration and the starting of strategy parameters and the monitoring and the treatment of strategies, support the traders to set strategy level and system level wind control limits according to the requirements of a risk management part, support a trade manager to effectively manage a system and rights, support the traders or quantitative analysts to conveniently apply tools to develop strategies, and support the traders to comprehensively and completely evaluate the effectiveness of the strategy.

F-QIT monitoring node 160 may obtain a log of the operation of F-QIT policy node 150 and determine the start and stop of F-QIT policy node 150 or the transaction policy therein based on the monitoring conditions.

The data lake 170 is used for storing transaction data, and is combined with technologies such as big data, artificial intelligence, blockchain and the like to be quickly integrated into financial market business, so that financial market rules are discovered and analyzed according to massive financial market transaction data.

The foreign exchange transaction center 110, the financial market transaction management system 120, the ComStar quotation engine 130, the financial market sharing data service 140, the F-QIT policy node 150, the F-QIT monitoring node 160, and the data lake 170 may interact with data as indicated by arrows in fig. 1 to complete transaction data processing.

According to the embodiment of the disclosure, on the basis of the online ComStar quotation engine 130, a quantitative trading platform (QIT) is further supported to be in butt joint with a real disc of a financial market trading management system (FMBM), the ComStar quotation engine and a foreign exchange trading center trading strategy interface, full-link management of quotation strategies is supported, quantitative trading means are expanded, autonomous implementation of the quantitative trading strategies is realized, and the income proportion of the trading strategies is improved. It can be understood that "quantitative transaction" refers to a process of using a mathematical model to replace artificial subjective judgment, and using a computer technology to sea-select multiple "high probability" events which can bring excessive benefits from huge historical data to make a strategy, thereby realizing transaction.

The transaction data processing method according to the embodiment of the present disclosure will be described in detail below with reference to fig. 2 to 12 based on the scenario described in fig. 1.

Fig. 2 schematically illustrates a flow chart of a transaction data processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the quotation engine may perform operations S210, S220, S270, and S280. The policy configuration side may perform operations S230-S260, and the quotation engine may include the ComStar quotation engine 130, and the policy configuration side may include the financial market sharing data service 140, the F-QIT policy node 150, and the F-QIT monitoring node 160.

The transaction data processing method of this embodiment includes:

in operation S210, the quotation engine acquires current market quotation data.

Referring to fig. 1, the comstar quotation engine 130 may obtain market quotation data for the current time from the foreign exchange trading center 110. The market data may be the price, stock, etc. of the trade target product in the trade market. For example, the market data may include the current price of a rate service (e.g., a coupon transaction service), the current price of each transaction party, the transaction party including a quotation merchant or financial institution. It should be noted that, in some embodiments of the present disclosure, the interest rate transaction of the coupon transaction is taken as an example, but the embodiments of the present disclosure are not limited thereto.

In operation S220, the quotation engine transmits the current market quotation data to the policy configuration terminal.

In operation S230, the policy configuration terminal receives current market quotation data transmitted from the quotation engine.

In operation S240, the policy configuration terminal triggers M target transaction policies from N transaction policies configured in advance based on the current market quotation data, wherein each transaction policy includes at least one transaction rule, N, M is an integer greater than or equal to 1, and N is greater than or equal to M.

The N trading strategies include, for example, a grid trading strategy, a conditional order strategy, a quick drop strategy, a follow-up quotation strategy (shipping strategy), and a quotation weighted average price strategy (VWAP strategy), among others.

The strategy configuration terminal can judge that the market form is in an oscillation state and has higher fluctuation rate, the market form is in an oscillation state and has lower fluctuation rate, the market form is in a unilateral trend, the market form is in a bilateral trend and the like according to the current market data and/or the historical market data, and trigger a corresponding transaction strategy. The strategy configuration terminal can input current market quotation data into M target transaction strategies to trigger execution strategies.

In some embodiments, the transaction policies may be created in advance by way of code writing. The system also can provide a strategy visual configuration interface, and receives strategy parameters such as transaction conditions, at least one strategy index, index values corresponding to the strategy indexes and the like which are input by a user through the visual configuration interface, so as to generate a transaction strategy according to the strategy parameters configured by the user. The N transaction policies may include a quantized transaction policy.

In operation S250, the policy configuration terminal processes the transaction information in the current market quotation data to generate M transaction instructions according to the respective transaction rules of the M target transaction policies. And controlling each target transaction strategy to execute the respective transaction rule to process the transaction information in the current market data, so as to obtain a transaction instruction. The transaction rules include rules and conditions for processing the entered quotation data and entering the transaction content.

In operation S260, the policy configuration terminal sends the M transaction instructions to the quotation engine, and the quotation engine is configured to execute the M transaction instructions to complete at least one financial transaction.

In some embodiments, sending the M transaction instructions to the quotation engine comprises: the M transaction instructions are packaged into M transaction messages, wherein each transaction message comprises a field for indicating the attribute of the transaction. And sending the M transaction messages to the quotation engine.

According to the embodiment of the disclosure, the data interaction between the strategy configuration end and the quotation engine can be smoothly performed and the data security requirement is met by packaging and sending the message according to the network communication protocol.

In operation S270, the quotation engine receives M transaction instructions sent by the policy configuration terminal, where M is an integer greater than or equal to 1.

In operation S280, the quotation engine executes the M transaction instructions to complete at least one financial transaction.

According to the embodiment of the disclosure, the strategy configuration end and the quotation engine are in butt joint, automatic triggering and autonomous implementation of the transaction strategy are realized through data interaction, the transaction information in the current market quotation data is processed to generate M transaction instructions through the transaction rules of the target transaction strategy, the M transaction instructions are sent to the quotation engine to automatically complete financial transaction, timeliness of quotation data access is improved, the application range of the transaction strategy is expanded, and generation, issuing and execution efficiency of the transaction instructions are improved, so that the transaction data processing speed is improved.

FIG. 3 schematically illustrates a flow chart of receiving current market quotation data according to an embodiment of the present disclosure. As shown in fig. 3, this embodiment is one of the embodiments of operation S210, including:

in operation S310, the message middleware is utilized to receive initial quotation data sent by the quotation engine, forming a pending message.

Referring to fig. 1, kafka-based message middleware is provided using a financial market sharing data service 140. The initial market quotation data and the market quotation content of the current market quotation data are the same, and the data structures are the same or different.

In operation S320, the message to be processed is consumed from the message middleware to obtain current market quotation data.

According to the embodiment of the disclosure, based on the fact that transaction data enters a lake, message middleware is utilized to improve information interaction rate between applications, the coupling degree of a quotation engine and a strategy configuration end is reduced, and reliability, expandability and flexibility are improved.

Fig. 4 schematically illustrates a flowchart of generating a first transaction instruction according to an embodiment of the present disclosure. The first transaction policy is any one of M target transaction policies, which is one of the embodiments of operation S230, and generating M transaction instructions includes generating a first transaction instruction as shown in fig. 4:

in operation S410, a current bid state performed by a bid engine under a first trading strategy is obtained.

The current bid state may include a valid state, a revoked state, a frozen state, an expired state, or a failed state, etc.

In operation S420, the transaction information is processed according to the transaction rules of the first transaction policy, and the current bid state is updated.

For example, the current bid state is the revoked state, then the bid is newly added and updated to the valid state.

In operation S430, a first transaction instruction is generated according to the updated bid status.

According to the embodiment of the disclosure, the target transaction strategy can be provided for processing the current market quotation data in real time, the current quotation state is updated rapidly, and then the transaction instruction is automatically generated, so that automatic quotation and automatic transaction can be implemented automatically in a full-link manner, the transaction efficiency is improved, the quotation accuracy is enhanced, and the profit capability is improved.

Fig. 5 schematically illustrates a flow chart of updating a current bid state in accordance with an embodiment of the present disclosure. The first transaction policy includes a follow-up bid policy, as shown in fig. 5, which is one of the embodiments of operation S420, including:

in operation S510, transaction information of a plurality of transaction parties is acquired from current market quotation data, wherein each transaction party provides at least one transaction information, each transaction information including at least a quotation source, a quotation, and a transaction amount.

In operation S520, the latest offer of the follower is determined based on the transaction information of the plurality of transaction parties.

For a plurality of transaction information of the follower, comparing offers of the plurality of transaction information to determine an optimal offer. The optimal bid may include an optimal buyer bid or an optimal seller bid.

In operation S530, the current bid state is updated according to the latest bid.

For example, when the market shape is a unilateral trend, the market trend is beneficial to flat-plate, the market fluctuation condition is not judged, and the following quotation strategy (the price strategy) is triggered to conduct transactions. In the price strategy, the price of an order stares at a certain data source (such as a price of a layer of a matching market) of the market, and based on the price, the system automatically hangs the order on the matching market, and when the price of the stared data source changes, the system automatically follows and adjusts the price of the order.

Fig. 6 schematically illustrates a flow chart for executing a target transaction policy according to an embodiment of the disclosure.

As shown in fig. 6, the trader sets quotation parameters and trade parameters in advance at the policy configuration end, and starts the policy. The quotation engine obtains quotation (STEP 1.1) from the foreign exchange transaction center, sends quotation (STEP 1.2) to the policy configuration terminal, and the policy configuration terminal receives quotation (STEP 1).

If the policy configuration end sends out the operation of canceling the original market quotation (STEP 2), sends out the withdrawal application (STEP 2.1) to the quotation engine, the quotation engine checks and sends out the withdrawal application (STEP 2.2) to the foreign exchange transaction center after passing, the foreign exchange transaction center returns the withdrawal result (STEP 2.3), and finally the quotation engine returns the quotation state updating result, namely the withdrawal state updating result (STEP 2.4) to the policy configuration end.

For example, the policy configuration end triggers the trigger policy to execute the core algorithm of the trigger policy in response to the current market form (STEP 3). If the policy configuration end sends out an increasing market quotation operation (STEP 4), a new increasing market quotation application (STEP 4.1) is sent to the quotation engine, the quotation engine checks to send a new increasing quotation (STEP 4.2) to the foreign exchange transaction center after passing through, the foreign exchange transaction center returns to the quotation state (STEP 4.3), and finally the quotation engine returns to the policy configuration end a quotation state updating result, namely the current latest quotation state (STEP 4.4).

It will be appreciated that STEP2, STEP3 and STEP4 are not limited to how the sequence is executed in this embodiment, and STEP3 may be executed first, and STEP2 or STEP4 may be executed later, for example.

If the quotation is made in the trading market, the foreign exchange trading center returns a result of the making a deal (STEP 5.1), the quotation engine returns a notice of the making a deal to the policy configuration terminal (STEP 5.2), and sends out a quotation state update result (STEP 5.3). The bid acceptance is confirmed by the policy configuration side (STEP 5).

Fig. 7 schematically illustrates a market-making bid Maker party pulling market-making policy order state flow diagram according to an embodiment of the present disclosure.

In some embodiments, the marketing strategy includes a newly added home currency interest rate market price quotation market Maker (Maker) role following quotation strategy (hereinafter referred to as market price Maker side marketing market strategy), and the market price Maker side market strategy is correspondingly and pre-configured with a strategy template, a quotation structure, an order, a return analysis, a return structure, an auxiliary data structure and the like at a strategy configuration end.

In a core algorithm of a market quotation Maker party price making strategy, a financial institution is used as a core market Maker of a bond market among banks to participate in a coupon market bilateral quotation (Maker role) at high frequency, the price is followed by the price making algorithm, namely, deep market quotation is obtained, buying and selling quotations of an optimal layer on the market are followed, quotation quantity is set by a trader, and a quotation strategy triggered by the quotation is implemented. When a new market quotation comes and there are outstanding quotations, the quotation is withdrawn and the quotation is waited for the next quotation to be completed. The strategy adopts interest rate real-time data, and subscribes from a data center.

For example, the revocation and frozen quotation system logic in the market quotation Maker party scenario includes: the cancellation or freezing of the quotation can be performed in the programmed transaction of the QIT to achieve autonomous implementation of the policy of cancellation or termination. The system can also provide a manual transaction function that a transactor carries out bill withdrawal or frozen quotation on a new home currency client side and a ComStar quotation engine client side of a transaction center.

For example, in the market receiving processing event system logic of the market quotation Maker party marketing market policy, the template includes: and (1) receiving the quotation, and stopping the strategy if the quotation is empty. (2) If one of the optimal layer buying price, buying amount, buying rate of return, selling price, selling amount, selling rate of return is empty, no processing is performed. (3) And updating the latest copy of each line of quotation according to the current quotation, judging whether the current caching quotation exceeds the maximum caching quantity (defaulting to 500), and if so, deleting the oldest quotation. The strategy comprises the following steps: (1) If there is a ticket (on-road and active market quote), the ticket is withdrawn. (2) If the on-road bill is not available, a new bill is hung, the price of the hung bill is the buying price and selling price (without point difference, the yield is the same as that in the quotation) of the price optimal layer of the price, and the amount of the hung bill is the input amount.

For example, the transaction listing request system logic of the market quotation Maker party shipping market policy includes: (1) Checking whether the strategy is stopped, if so, not hanging the bill, returning, otherwise, hanging the bill, and turning to 2. (2) order cross checking is performed, if the order cross checking does not pass through the non-hanging order. The checking logic is: if bid of the current hanging bill is larger than ask of the current hanging bill, the bid is cross; if it is determined to be cross, the strategy is stopped. If the result is passed, the order is hung, and the process is ended. (3) The order hanging request is sent successfully, and referring to fig. 7, the order state is modified to be pending_new.

For example, the trade drop request system logic for the market quotation Maker party piggy market policy includes: (1) If the order state is frozen or overtime, no order removing request is sent, and success is returned. Otherwise, sending a list removing request. (2) If the request for removing the bill fails to be sent, stopping the strategy and withdrawing the in-transit bill. (3) The order removal request is successfully sent, and referring to fig. 7, the order status is updated to be pending_cancel.

For example, in the order failure response event system logic of the market quotation Maker party planning market policy, the template includes: (1) And judging whether a corresponding on-road list exists, if not, printing an error log in the structy log, and returning a log keyword of 'not found in pending _orders wire_sub_reject'. (2) Judging whether the return is repeated, if so, not processing. And (3) releasing the flow (this time the switch is turned off). (4) Referring to FIG. 7, the policy state is changed to REJECTED, the order is deleted, and the on-road order is printed. (5) if the error code is not null, stopping the strategy.

For example, in the form removal failure response event system logic of the market quotation Maker party planning market policy, the template includes: (1) And judging whether a corresponding on-road list exists, if not, printing an error log in the strategy log, and returning a log keyword of 'not found in pending _orders w hen_cancel_reject'. (2) Judging whether the return is repeated, if so, not processing. (3) if the error code is not null, stopping the strategy. The strategy comprises the following steps: the drop request is initiated again.

For example, in order-valid response event system logic of the market quotation Maker party-planning market policy, the template includes: (1) And judging whether a corresponding on-road list exists, if not, printing an error log in the strategy log, and returning a log keyword of 'not found in pending _orders wire_order_valid'. (2) Judging whether the return is repeated, if so, not performing the processing (3) referring to fig. 7, and updating the order state. If the current order state is PENDING_NEW, the updated order state is NEW, and the updated order pre-freezing state is NEW. If the current order status is FROZEN, the updated order status is a pre-freeze status.

For example, in the form removal success response event system logic of the market quotation Maker party piggy-backing market policy, the template includes: (1) judging whether a corresponding on-road bill exists, if not, printing an error log in the regular log and returning the error log, wherein a log keyword of 'not found in pending _ordinates w hen on-order_reinforced' (2) judges whether the return is repeated, and if so, the processing is not performed (3) referring to fig. 7, and updating the order state to CANCELED.

For example, in the system logic of the transaction detail response event of the market quotation Maker party planning market policy, the template includes: (1) And judging whether a corresponding on-road bill exists, if not, printing an error log in the strategy log, returning the error log, and judging whether the return is repeated by a log keyword of not found in pending _ordinates on-order-executed "(2), and if so, not processing. (3) Referring to FIG. 7, the status of the updated order is either a complete or partial complete PARTIALLY, and the pre-frozen status of the updated order is either a complete or PARTIALLY, depending on the complete status field in the return on the complete.

For example, in order freeze response event system logic of the market quotation Maker party shopping strategy, the template includes: (1) And judging whether a corresponding on-road bill exists, if not, printing an error log in the strategy log, and returning a log keyword of 'not found in pending _detectors wire_order_freozen'. (2) Judging whether the return is repeated, if so, not processing. (3) Referring to FIG. 7, if the current pre-order-freeze status is PENDING NEW, the updated pre-order-freeze status is FROZEN. (4) with continued reference to FIG. 7, the updated order status is FROZEN.

For example, in order timeout event system logic of market quotation Maker party planning market policy, the template includes: (1) And judging whether a corresponding on-road bill exists, if not, printing an error log in the strategy log, returning the error log, judging whether the return is repeated by a log keyword of not found in pending _descriptors on_order_freozen "(2), and if so, not processing. (3) If the current pre-order-freeze state is PENDING_NEW, the update pre-order-freeze state is EXPIRED. (4) updating the order status to EXPIRED.

For example, the stop strategy system logic of the market quotation Maker party planning market strategy includes: withdrawing all orders for the instance may support removing orders by instance number or sending the request to remove orders in a round robin fashion.

In some embodiments, the price policy includes that a price ticket buying and selling anonymous price quotation (X-Bond) market Maker (Maker) role follows a price quotation policy (hereinafter called anonymous price quotation (X-Bond) Maker side price quotation policy), and the anonymous price quotation (X-Bond) Maker side price quotation policy is correspondingly preconfigured with a policy template, a quotation structure, an order, a return resolution, a return structure, an auxiliary data structure and the like at a policy configuration end.

Fig. 8 schematically illustrates a flow chart of performing an anonymous quotation Maker side bagging marketing strategy, according to an embodiment of the present disclosure.

As shown in fig. 8, a transactor sets quotation parameters and transaction parameters in advance at a policy configuration end, and starts a policy. The quotation engine obtains quotation (STEP 1.1) from the foreign exchange transaction center, sends quotation (STEP 1.2) to the policy configuration terminal, and the policy configuration terminal receives quotation (STEP 1).

If the policy configuration end sends out the original XBOND operation (STEP 2), sends out the withdrawal application (STEP 2.1) to the quotation engine, the quotation engine checks and sends out the withdrawal application (STEP 2.2) to the foreign exchange transaction center after passing, the foreign exchange transaction center returns the withdrawal result (STEP 2.3), and finally the quotation engine returns the withdrawal report, namely a reply message, to the policy configuration end to characterize the withdrawal state updating result (STEP 2.4).

For example, the policy configuration end responds to the current market form, triggers the price strategy and runs the price strategy of anonymous quotation Maker party price (STEP 3). If the policy configuration end sends an add XBOND order operation (STEP 4), a new add XBOND order application is sent to the quotation engine (STEP 4.1), the quotation engine checks that the new add XBOND order is sent to the foreign exchange transaction center after passing (STEP 4.2), the foreign exchange transaction center returns the order status (STEP 4.3), and finally the quotation engine returns the order update result to the policy configuration end (STEP 4.4).

If the quotation is in the trading market, the foreign exchange trading center returns an XBOND order trading result (STEP 5.1), the quotation engine returns a trading notification to the strategy configuration end (STEP 5.2), and a quotation state updating result is sent (STEP 5.3). The bid acceptance is confirmed by the policy configuration side (STEP 5).

Fig. 9 schematically illustrates an anonymous quotation Maker side peak marketing strategy order state flow diagram, according to an embodiment of the present disclosure.

In a core algorithm of an anonymous quotation (X-Bond) Maker party price marketing strategy, a financial institution is used as a member to participate in the anonymous clicking of a current coupon market (Maker role), the pegger algorithm is utilized to follow the quotation, namely, the deep quotation of the market is acquired, the buying and selling quotations of the optimal layer on the market are followed, the quotation amount is set by a transactor, and a quotation triggering follow-up strategy (namely, the price of buying or selling on a single side is reported if the quotation is single-side, and the price of buying and selling the same is synchronously reported if the quotation is double-side) is implemented. When a new market quotation comes and there are outstanding quotations, the quotation is withdrawn and the quotation is waited for the next quotation to be completed. The strategy adopts interest rate real-time data, and subscribes from a data center.

For example, in an anonymous quote (X-Bond) Maker party pulling marketing strategy, anonymous quote (X-Bond) revocation and freeze quote operating system logic includes: the cancellation or freezing of the bid may be automatically completed or terminated by running a core algorithm in a programmed transaction quantifying the trading platform QIT (i.e., F-QIT policy node 150). The system can also provide a manual transaction function that a transactor manually removes bills or freezes quotations at a new home currency client side and a ComStar quotation engine client side of a transaction center.

For example, in the market reception processing event system logic of anonymous quotation (X-Bond) Maker party marketing strategy, the template comprises: and (1) receiving the quotation, and stopping the strategy if the quotation is empty. (2) if the market is 10 seconds forward, stopping the strategy. (3) If None value exists in the buying price, buying quantity, selling price and selling quantity of any layer, the strategy is stopped. (4) And updating the latest copy of each line of quotation according to the current quotation, judging whether the current caching quotation exceeds the maximum caching quantity (defaulting to 500), and if so, deleting the oldest quotation. The strategy comprises the following steps: (1) If the buyer exists in the market, if the buyer does not buy the on-road bill, the buyer hangs the bill, the price of the hung bill is the optimal price of the market-point difference, the amount of the hung bill is qty, and the type of the order is the type of the order in the strategy starting parameters. And if the purchase order exists, sending a purchase order removing request. (2) If the seller exists in the market, if the seller does not sell the on-road bill, the bill is hung, the price of the bill is the optimal selling price of the market and the price of the bill is poor, the amount of the bill is qty, and the type of the order is the type of the order in the strategy starting parameters. And if the sales bill exists, sending a request for removing the sales bill.

For example, the order request system logic of anonymous quotation (X-Bond) Maker party shopping strategy includes: (1) Checking whether the strategy is stopped, if so, not hanging the bill, returning, otherwise, hanging the bill, and turning to 2. (2) order cross checking is performed, if the order cross checking does not pass through the non-hanging order. The checking logic is: if the current list is bid, and if bid is larger than ask in the waybill, the current list is cross; if the current coupon is ask, and ask < bid in the waybill, the current coupon is cross. If the result is passed, the order is hung, and the process is ended. (3) Referring to fig. 9, the order pending request was sent successfully, modifying the order status to PENDINGNEW.

For example, the anonymous quote (X-Bond) Maker party pulling marketing strategy may be logically identical to the trading order drop request system of the market quotation Maker party pulling marketing strategy, as with reference to fig. 9, the drop request was sent successfully, updating the order status to PENDINGCANCEL.

For example, an anonymous quotation (X-Bond) Maker party-pulling marketing strategy may be logically identical to a listing failure response event system of the marketing quotation Maker party-pulling marketing strategy, as with reference to FIG. 9, the strategy state is changed to REJECTED, orders are deleted, and on-road tickets are printed.

For example, an anonymous quote (X-Bond) Maker party pulling marketing strategy may be the same as the drop failure response event system logic of the marketing quote Maker party pulling marketing strategy.

For example, in order-valid response event system logic for anonymous quote (X-Bond) Maker party shopping strategy, the templates include: (1) judging whether a corresponding on-road bill exists, if not, printing an error log in the structy log and returning, wherein a log keyword of not found in pending _detectors w hen on order valid is judged whether return is repeated, and if so, the processing (3) is not performed to update the order state: case one: if the current order status is PENDING_NEW: 1) If the pre-freezing state is not NEW, the updated order state is NEW and the updated order pre-freezing state is NEW. 2) If the pre-freezing state is NEW, the report is a report of successful order-hanging with disordered time sequence, and the processing is not performed. And a second case: if the current order status is FROZEN, the updated order status is a pre-freeze status.

For example, in the form removal success response event system logic of anonymous quotation (X-Bond) Maker party marketing strategy, the template comprises: (1) And judging whether a corresponding on-road list exists, if not, printing an error log in the strategy log, and returning a log keyword of 'not found in pending _detectors wire_order_reinforced'. (2) Judging whether the return is repeated, if so, not processing. (3) The update order status is CANCELED (4) updates the order remaining to the current remaining-withdrawn order amount (leave_ qty).

For example, in the transaction detail response event system logic of anonymous quotation (X-Bond) Maker party marketing strategy, the template comprises: (1) And judging whether a corresponding on-road list exists, if not, printing an error log in the strategy log, and returning a log keyword of 'not found in pending _detectors wire_order_executed'. (2) Judging whether the return is repeated, if so, not processing. (3) Referring to FIG. 9, the update order state is a commit FILLED and the update order pre-freeze state is a FILLED. (4) The order remaining is updated to be the current remaining-to-volume (last qty).

For example, in an order freeze response event for an anonymous quote (X-Bond) Maker party shopping strategy, the template includes: (1) And judging whether a corresponding on-road bill exists, if not, printing an error log in the strategy log, returning the error log, judging whether the return is repeated by a log keyword of not found in pending _descriptors on_order_freozen "(2), and if so, not processing. (3) If the current pre-order-freeze state is PENDING_NEW, the pre-order-freeze state is updated to NEW. (4) updating the order status to FROZEN.

For example, the stop policy rules of anonymous quotation (X-Bond) Maker party marketing policies include: all orders of the instance are withdrawn, the orders are not withdrawn according to the instance number at present, and only the order withdrawal request can be sent circularly.

Fig. 10 schematically illustrates a flow chart of updating a current bid state according to another embodiment of the present disclosure. The first trading strategy includes a bid amount weighted average price strategy, as shown in fig. 10, which is one of the embodiments of operation S420, including:

in operation S1010, transaction information of a plurality of transaction parties is acquired from current market quotation data, wherein each transaction party provides at least one transaction information, each transaction information including at least a quotation source, a quotation, and a transaction amount.

In operation S1020, a weighted average due rate of return or a weighted average price is calculated from S transaction information, S being an integer greater than or equal to 2. The S transaction information includes S offers and S offer amounts.

In operation S1030, the latest coupon price is obtained based on the weighted average due rate of return or the weighted average price.

In operation S1040, if the latest price per unit price is different from the price of the current price per unit price, the current price per unit price is updated according to the latest price per unit price.

For example, a weighted average price (i.e., full market diagonality) of the bid amounts may be calculated from the S bids and the S bid amounts using the formula vwap=wt×p/W (for example only), where VWAP is the weighted average price of the bid amounts, W is a matrix formed by the selected S bid amounts, wT represents a transpose of the matrix W, p is the selected S bids, and W is the sum of the selected S bid amounts. The bid amount weighted average price is then determined as a reference bid corresponding to a target bid amount. Where the above "bid amount" refers to a bid amount that is acceptable for a full market, the bid amount may optionally be used to hierarchically weight average the bids.

In some embodiments, the bid amount weighted average price policy (VWAP policy) may include a coupon-buying and sell-selling bilateral bid amount weighted average price (VWAP) market-making policy (hereinafter bilateral bid amount weighted average price policy), the bilateral bid amount weighted average price policy base logic including: (1) And when the quotation is received, the front S layers (determined according to the expiration yield sequences) of the multipath quotation are taken to calculate the average expiration yield weighted according to the quotation amount, and if the quotation is insufficient, the optimal expiration yield is determined according to quotation calculation rules or the optimal number of quotation layers is calculated according to the optional quotation layers. The point difference is added to obtain the hanging price bin (i.e., the latest hanging price bin in operation S1030) based on the weighted average due yield after calculation (the point difference may be negative, for example, the range of values of both bid and ofr may be allowed to be negative). If the price of the hanging bill is the same as the last hanging price, the operation (hanging bill or removing bill) is not performed, and if the price of the hanging bill is different: and if the current on-road bill exists, the bill is hung again. And if the on-road bill is not available, re-placing the bill. In other words, the F-QIT strategy node obtains due yield data from the foreign exchange transaction center, calculates weighted average yield through the VWAP strategy, back calculates net price through the weighted average yield, and finally returns the net price to the ComStar quotation engine. (2) The strategy supports one-key form removal when the strategy is stopped, and the form is continuously re-hung according to the strategy after the previous form hanging is completed. When the trader clicks "stop policy" on the policy editing interface, the system withdraws all orders currently not ended, including in-transit and orders that have been placed.

For example, the bilateral offer-following offer-amount weighted average price policy calculation logic includes:

(1) A VWAP bid is calculated. After merging the quotations of two paths of quotation symbol (bilateral market quotation) and symbol2 (X-Bond anonymous quotation) of the foreign exchange transaction center, sorting according to the expiration yield, and respectively calculating the VWAP quotations in bid (buying) and ofr (selling) directions according to the following logic:

1) If the number of integrated market layers is not less than the market shift (set by the trader), the VWAP quotation is a weighted average price (due rate) of the number of forward market shift layers, i.e., sum (due rate).

2) If the number of integrated quotation layers is smaller than the quotation gear, and the quotation calculation rule is optimal, and the integrated quotation is not null, the VWAP quotation is the optimal quotation price.

3) If the number of the integrated quotation layers is smaller than the quotation gear and the quotation calculation rule is the number of the preferable layers, calculating the weighted average price of the VWAP quotation according to the formula in 1) according to the number of the preferable layers.

(2) If the calculated VWAP quote is not null and is different from the last quote:

1) If no on-road bill exists in the direction, the bill is hung, and the price of the bill is as follows: firstly, adding the direction point difference on the basis of the VWAP quotation (due yield), then converting the yield of the added point difference into net price, namely, the price of the hanging bill, wherein the quantity of the hanging bill is qty (the quantity of the hanging bill is set by a trader), and the mode of the hanging bill is the type (limit price order and FAK order) specified by the order type. The expired yield translates to a net price.

2) If the bill is on the way in the direction, the bill is hung again.

For example, the bilateral offer-following offer-amount weighted average price policy wind control rules include:

(1) If the buying direction continuous volume is larger than or equal to the stop value, the QIT stops the strategy, and prompts the buyer to make a continuous volume larger than the buying reverse continuous volume stop value. If the direction of the transaction is a sell, the process is the same as the buyer.

(2) If the buying direction continuous volume is larger than or equal to the warning value, the QIT prompts that the buying direction continuous volume is larger than the warning value of the buying direction continuous volume. If the direction of the transaction is a sell, the process is the same as the buyer.

(3) If the number of continuous making and delivering times in the buying direction is larger than or equal to the stop value of the number of continuous making and delivering times in the buying direction, stopping the strategy, and prompting a ' the stop value of the number of continuous making and delivering times in the buying direction by the buyer ' in the QIT '. If the direction of the transaction is a sell, the process is the same as the buyer.

(4) If the number of continuous deals in the buying direction is larger than or equal to the warning value, the QIT prompts that the number of continuous deals in the buying direction is larger than the warning value of the number of continuous deals in the buying direction. If the direction of the transaction is a sell, the process is the same as the buyer.

(5) When the blank time of any party of the bilateral quotation exceeds 25 minutes, the system prompts: the quote blank will time out.

For example, the point difference setting rules of the bilateral offer-following offer-amount weighted average price policy include:

(1) And when the expiration yield point difference is positive, the price difference is widened, and the price is worse. When the expiration yield point difference is negative, the price difference is narrowed, and the price is better. The method comprises the following steps: when the dot difference is positive, the off direction is subtracted by the dot difference, and the bid direction is added by the dot difference. When the dot difference is negative, the off direction adds the dot difference and the bid direction subtracts the dot difference.

(2) The allowable point difference is a negative number, when the tool line hangs up the unit price, the strategy is stopped, and the trader can check and modify the parameters and then restart the strategy.

In some embodiments, the bid amount weighted average price policy (VWAP policy) may include a coupon-buying anonymous bid (X-Bond) bid amount weighted average price (VWAP) policy (hereinafter anonymous bid following bid amount weighted average price policy).

For example, the calculation logic of the anonymous quote following quote amount weighted average price policy includes: and when the quotation is received, the front N layers (determined according to the parameter price calculation layers) of the multipath quotation are taken to calculate the weighted average price according to the quotation amount, and if the number of the quotation is less than N layers, the optimal price is determined according to the parameter price calculation rules or the calculation is carried out according to the optional layers. And adding the point difference after calculation to obtain a hanging price lattice. If the price of the hanging bill is the same as the last hanging price, the operation is not performed, and if the price of the hanging bill is different: and if the current on-road bill exists, the bill is hung again. And if the on-road bill is not available, re-placing the bill.

For example, the control logic of the anonymous quote following quote amount weighted average price policy includes: if the continuous traffic volume or the continuous traffic number in a single direction reaches a warning value, prompting the service without stopping the strategy. (interface pop-up offer early warning, trader chooses to continue or adjust or stop strategy by himself) if the continuous volume or number of continuous volume in a single direction reaches the stop value, then stop strategy. If the empty quotation is received, prompting the service to calculate the price of the hanging bill without stopping the policy. (interface pop-up offer pre-warning, trader chooses to continue or adjust or stop the strategy by his own right).

FIG. 11A schematically illustrates a flow chart of a simulation test, according to an embodiment of the present disclosure. Fig. 11B schematically illustrates a scenario diagram of a simulation test according to an embodiment of the present disclosure.

The policy configuration end comprises a real disc policy node and a simulation policy node, wherein the real disc policy node is used for executing operations S210-S240. Before sending the M transaction instructions to the quotation engine, as shown in FIG. 11A, this embodiment includes performing the following with the emulated policy node:

in operation S1110, M target simulated transaction policies are triggered from among N pre-configured simulated transaction policies based on current market quotation data.

In operation S1120, according to the respective transaction rules of the M target simulation transaction policies, the transaction information in the current market quotation data is processed to generate M simulation transaction instructions.

In operation S1130, a simulated transaction is performed based on the M simulated transaction instructions.

Operations S1120 to S1130 may be the same as the operations S210 to S240, respectively, except that operations S1120 to S1130 are performed for backtracking test, to determine the profitability and accuracy of the simulated transaction strategy, etc.

In some embodiments, the N simulated transaction policies may be the same as the N transaction policies. And executing the return test operation by controlling the quantitative transaction strategy to obtain a return test result, monitoring whether the return test result meets the simulated transaction condition, controlling the quantitative transaction strategy to execute the simulated transaction operation according to the simulated transaction parameter under the condition that the return test result meets the simulated transaction condition to obtain a simulated transaction result, monitoring whether the simulated transaction result meets the real disc transaction condition, executing the operations S210 to S240 under the condition that the simulated transaction result meets the real disc transaction condition, and controlling the quantitative transaction strategy to execute the real disc transaction operation according to the real disc transaction parameter to obtain the real disc transaction result.

According to the embodiment of the disclosure, the strategy that both the return test result and the simulation transaction result meet the conditions can be used for real disc transaction, so that the investment risk of the real disc transaction is greatly reduced.

In some embodiments, the N simulated transaction policies may be different from the N transaction policies. And executing the return test operation by controlling the quantized transaction strategy to obtain a return test result, optimizing the simulation transaction strategy according to the return test result, and ending the optimization until the return test condition is met to obtain the transaction strategy. In some embodiments, the simulated trading strategy may also be optimized based on historical market quotation data.

According to the embodiment of the disclosure, further decoupling of the simulation platform and the real disc environment is carried out, namely decoupling is carried out on the real disc strategy nodes and the simulation strategy nodes, so that the condition that the operation of the real disc strategy is influenced by the transformation of the bottom code of the simulation environment is avoided.

Referring to FIG. 11B, an application scenario 1100 includes a foreign exchange trading center 110, an X-Bond engine 131, a financial market sharing data service 140, a data lake 170, an F-QIT simulation policy node 1110, an F-QIT simulation monitor node 1120, and an F-QIT simulation simulator node 1110. The functions of the foreign exchange transaction center 110, the X-Bond engine 131, the financial market sharing data service 140 and the data lake 170 are respectively the same as those in the application scene 100, and the F-QIT simulation strategy node 1110 and the F-QIT simulation monitoring node 1120 are respectively the same as those of the F-QIT strategy node 150 and the F-QIT monitoring node 160. The F-QIT simulator node 1110 may be configured to execute a simulated transaction instruction sent by the F-QIT simulation policy node 1110, to obtain a return result or a simulated transaction result.

Fig. 12 schematically illustrates a flow chart of policy monitoring according to an embodiment of the disclosure. As shown in fig. 12, this embodiment includes:

in operation S1210, in response to a transaction inquiry operation of a user for any one of N transaction policies, a transaction ledger of the policy to be inquired is acquired.

In operation S1220, the transaction ledger is displayed in the first area of the display page.

Wherein the presentation page further comprises a second area configured to allow accepting data processing operations by the user, the first area being configured to change the current presentation content in response to the data processing operations.

In some embodiments, a new Renminbi interest rate transaction detail ledger and quotation query function is provided. Optionally, a hover icon is provided on the transaction page. The trader at the Renminbi interest rate enters a query homepage by clicking the FMBM suspension icon, and the query homepage is clicked to link to a specific scene construction interface, namely an interface of a strategy to be queried.

Alternatively, the interface to the policy to be queried may generate transaction detail rules. Specifically, the interface to the policy to be queried may include 2 tabs, one being the transaction ledger and the other being the bond balance and position quotation. On the transaction ledger inquiry page, a transaction record report (i.e., a first area) is located above the page, and a transactor operation area (i.e., a second area) is located below the page.

The transaction record area above the page is used for recording data manually recorded by a transactor on the lower page, and the report header fields can be screened by the screening frame above, and mainly comprise price inquiring days, transaction days, bond codes, product types, clearing speed, yield, bond denomination, brokers, transaction opponents, transactors, whether bookkeeping is carried out or not and special marks. The trader operation area below the page mainly comprises operation buttons for adding, deleting in batches, deleting, copying and storing.

For example, the transaction ledger statement screening logic defaults to display information that the transaction date is greater than or equal to the current date or whether bookkeeping is 0 (non-bookkeeping), if the trader selects a screening box, all data meeting the conditions is displayed according to screening box screening conditions, and all screening conditions are supported to be selected. Clicking the blank of the uppermost row to be recorded, and the next row to be recorded last time by a user can add a plurality of records to be saved together, and displaying the latest two records by default (automatically refreshing the upper half area at the same time). The lower half part can be expanded to record new transaction, and the expanded transaction is arranged according to the recording time positive sequence. The trader can expand the lower half of the default stow, further show all records that meet (trade day is greater than or equal to the current day or bookkeeping status is not bookkeeping), if the number of records is exceeded, go out the scroll bar, each field condition can be screened at the header, but the screening is based on the default range condition.

For example, the trader may directly click on the record in the lower half to make a modification, wherein if the date of the last screening condition is entered with the date of the last date, historical transactions may be queried, and the operation area in the lower half is modified, and if the date of the last screening condition is not entered with the date of the last date, the date of the last screening condition is selected by default (transaction date is equal to or greater than the current date or is bookkeeping status is bookkeeping).

In some embodiments, a market display function may be provided. First, in transaction partner-position quotation inquiry, quotation display accesses the quotation data of the CMDS data source. Then, the CMDS anonymous trading quotations, the ticket buying and selling gradual trading quotation and the ticket buying and selling summarizing trading quotation are accessed. Finally, displaying anonymous quotation, buying and selling the CMDS current coupon and making a transaction, and releasing the information of the making a transaction in the area below the quotation, wherein the page display refers to a home coin client-current coupon buying and selling-comprehensive making a transaction inquiry interface, and the making a transaction field mainly comprises codes, names, making a transaction (%), making a transaction amount (ten thousand), making a transaction mode, a transaction mode and making a transaction time.

In some embodiments, a query market and bond balance function may be provided. Providing a bond balance and a market display tab page, wherein the bond balance is below the page and the market information is above the page, the screening condition being a bond code (by way of example only). The bond balance can display the sum of the position balance of the FMBM bond and the position registered in the transaction account, and the quotation information displays the quotation information of the bond on both sides, and the quotation information on both sides is accessed through a ComStar quotation engine.

Based on the transaction data processing method for the policy configuration terminal, the disclosure also provides a transaction data processing device for the policy configuration terminal. The device will be described in detail below in connection with fig. 13.

Fig. 13 schematically illustrates a block diagram of a transaction data processing apparatus for a policy configuration side according to an embodiment of the present disclosure.

As shown in fig. 13, the transaction data processing apparatus 1300 for a policy configuration terminal of this embodiment includes a quotation receiving module 1310, a policy triggering module 1320, an instruction generating module 1330, and an instruction transmitting module 1340.

The quotation receiving module 1310 may perform operation S230 for receiving the current market quotation data transmitted by the quotation engine.

In some embodiments, the market receiving module 1310 may perform operations S310 to S320, which are not described herein.

The policy triggering module 1320 may perform an operation S240 for triggering M target transaction policies from N pre-configured transaction policies based on the current market data, wherein each transaction policy includes at least one transaction rule N, M is an integer greater than or equal to 1, and N is greater than or equal to M.

The instruction generation module 1330 may perform operation S250, configured to process the transaction information in the current market quotation data to generate M transaction instructions according to the respective transaction rules of the M target transaction policies.

In some embodiments, the instruction generating module 1330 may perform operations S410 to S430, operations S510 to S530, and operations S1110 to S1140, which are not described herein.

The instruction sending module 1340 may perform operation S260 for sending M transaction instructions to a quotation engine for executing the M transaction instructions to complete at least one financial transaction.

In some embodiments, the transaction data processing apparatus 1300 may include a backtracking test module, which may perform operations S1110 to S1130, which are not described herein.

In some embodiments, the transaction data processing apparatus 1300 may include a transaction partner module, which may perform operations S1210-S1220, which are not described herein.

Fig. 14 schematically illustrates a block diagram of a transaction data processing device for a quotation engine according to an embodiment of the present disclosure.

As shown in fig. 14, the transaction data processing apparatus 1400 for a quotation engine of this embodiment includes a quotation acquisition module 1410, a quotation transmission module 1420, an instruction reception module 1430, and an instruction execution module 1440.

The market acquisition module 1410 may perform operation S210 for acquiring current market data.

The market transmitting module 1420 may perform operation S220 for transmitting the current market data to a policy configuration side for transmitting M transaction instructions by performing the method of any one of claims 1 to 8.

The instruction receiving module 1430 may perform operation S270, configured to receive M transaction instructions sent by the policy configuration terminal, where M is an integer greater than or equal to 1.

The instruction execution module 1440 may execute operation S280 for executing M transaction instructions to complete at least one financial transaction.

The transaction data processing arrangement 1300 or the transaction data processing arrangement 1400 comprises modules for performing the respective steps of any of the embodiments of the corresponding transaction data processing methods as described above, respectively.

It should be noted that, in the embodiment of the apparatus portion, the implementation manner, the solved technical problem, the realized function, and the achieved technical effect of each module/unit/subunit and the like are the same as or similar to the implementation manner, the solved technical problem, the realized function, and the achieved technical effect of each corresponding step in the embodiment of the method portion, and are not described herein again.

Any of the plurality of modules in transaction data processing apparatus 1300 or transaction data processing apparatus 1400 may be combined into one module or any of the plurality of modules may be split into a plurality of modules, according to embodiments of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module.

According to embodiments of the present disclosure, at least one of transaction data processing apparatus 1300 or transaction data processing apparatus 1400 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in hardware or firmware, such as any other reasonable manner of integrating or packaging the circuits, or in any one of or a suitable combination of any of the three. Alternatively, at least one of the transaction data processing device 1300 or the transaction data processing device 1400 may be implemented at least in part as computer program modules which, when executed, perform the corresponding functions.

As shown in fig. 15, an electronic device 1500 according to an embodiment of the present disclosure includes a processor 1501, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1502 or a program loaded from a storage section 1508 into a Random Access Memory (RAM) 1503. The processor 1501 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 1501 may also include on-board memory for caching purposes. The processor 1501 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.

In the RAM1503, various programs and data necessary for the operation of the electronic device 1500 are stored. The processor 1501, the ROM 1502, and the RAM1503 are connected to each other through a bus 1504. The processor 1501 performs various operations of the method flow according to an embodiment of the present disclosure by executing programs in the ROM 1502 and/or the RAM 1503. Note that the program may be stored in one or more memories other than the ROM 1502 and the RAM 1503. The processor 1501 may also perform various operations of the method flow according to an embodiment of the present disclosure by executing programs stored in one or more memories.

According to an embodiment of the disclosure, the electronic device 1500 may also include an input/output (I/O) interface 1505, the input/output (I/O) interface 1505 also being connected to the bus 1504. Electronic device 1500 may also include one or more of the following components connected to I/O interface 1505: an input section 1506 including a keyboard, mouse, and the like. Including an output portion 1507 such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc. Including a storage portion 1508 of a hard disk or the like. And a communication section 1509 including a network interface card such as a LAN card, a modem, or the like. The communication section 1509 performs communication processing via a network such as the internet. A drive 1510 is also connected to the I/O interface 1505 as needed. Removable media 1511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 1510 as needed so that a computer program read therefrom is mounted into the storage section 1508 as needed.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments. Or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 1502 and/or RAM1503 described above and/or one or more memories other than ROM 1502 and RAM 1503.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code, when executed in a computer system, causes the computer system to perform the methods provided by embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 1501. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program can also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication portion 1509, and/or installed from the removable medium 1511. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1509, and/or installed from the removable medium 1511. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 1501. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. A transaction data processing method for a policy configuration terminal, comprising:

receiving current market quotation data sent by a quotation engine;

triggering M target transaction strategies from N pre-configured transaction strategies based on the current market quotation data, wherein each transaction strategy comprises at least one transaction rule N, M which is an integer greater than or equal to 1, and N is greater than or equal to M;

processing transaction information in the current market quotation data according to respective transaction rules of the M target transaction strategies to generate M transaction instructions;

and sending the M transaction instructions to the quotation engine, wherein the quotation engine is used for executing the M transaction instructions to complete at least one financial transaction.

2. The method of claim 1, wherein sending the M transaction instructions to the quotation engine comprises:

packaging the M transaction instructions into M transaction messages, wherein each transaction message comprises a field for indicating transaction attributes; and

and sending the M transaction messages to the quotation engine.

3. The method of claim 1 or 2, wherein the first transaction policy is any one of the M target transaction policies, the generating M transaction instructions comprising generating a first transaction instruction:

Acquiring a current quotation state executed by the quotation engine under the first transaction strategy;

processing the transaction information according to the transaction rules of the first transaction strategy, and updating the current quotation state;

and generating the first transaction instruction according to the updated quotation state.

4. A method according to claim 3, wherein the first transaction policy includes following a bid policy, processing the transaction information according to transaction rules of the first transaction policy, updating the current bid state includes:

obtaining transaction information of a plurality of transaction parties from the current market quotation data, wherein each transaction party provides at least one transaction information, and each transaction information at least comprises a quotation source, a quotation and a transaction amount;

determining an up-to-date offer for the follower based on the transaction information for the plurality of transaction parties;

and updating the current quotation state according to the latest quotation.

5. The method of claim 3, wherein the first trading strategy includes a bid amount weighted average price strategy, processing the trade information according to a trade rule of the first trading strategy, and updating the current bid state includes:

Calculating a weighted average expiration yield or a weighted average price according to S transaction information, wherein S is an integer greater than or equal to 2;

obtaining the latest hanging price lattice based on the weighted average due yield or the weighted average price;

and if the latest price of the hanging bill is different from the price of the hanging bill in the current quotation state, updating the current quotation state according to the latest price grid.

6. The method of claim 1, wherein the policy configuration side comprises message middleware, and the receiving the current market quotation data sent by the quotation engine comprises:

receiving initial quotation data sent by the quotation engine by utilizing the message middleware to form a message to be processed; and

and consuming the message to be processed from the message middleware to obtain the current market quotation data.

7. The method of claim 1, wherein the policy configuration side includes a simulated policy node, the method further comprising, prior to sending the M transaction instructions to the quotation engine, performing the following with the simulated policy node:

triggering M target simulation transaction strategies from N preset simulation transaction strategies based on the current market quotation data;

Processing transaction information in the current market quotation data according to respective transaction rules of the M target simulation transaction strategies to generate M simulation transaction instructions;

and executing the simulated transaction based on the M simulated transaction instructions.

8. The method of claim 1, wherein the method further comprises:

responding to transaction inquiry operation of a user on any one of the N transaction strategies, and acquiring a transaction account of the strategy to be inquired;

displaying the transaction ledger in a first area of a display page;

wherein the presentation page further comprises a second area configured to allow accepting a data processing operation by the user, the first area being configured to change the currently presented content in response to the data processing operation.

9. A transaction data processing method for a quotation engine, comprising:

acquiring current market quotation data;

transmitting the current market quotation data to a strategy configuration end, wherein the strategy configuration end is used for executing the method of any one of claims 1-8 to transmit M transaction instructions;

receiving the M transaction instructions sent by the strategy configuration end, wherein M is an integer greater than or equal to 1;

And executing the M transaction instructions to complete at least one financial transaction.

10. A transaction data processing apparatus for a policy configuration terminal, comprising:

the quotation receiving module is used for receiving the current market quotation data sent by the quotation engine;

the strategy triggering module is used for triggering M target transaction strategies from N pre-configured transaction strategies based on the current market quotation data, wherein each transaction strategy comprises at least one transaction rule N, M which is an integer greater than or equal to 1, and N is greater than or equal to M;

the instruction generation module is used for processing the transaction information in the current market quotation data to generate M transaction instructions according to the transaction rules of the M target transaction strategies;

the instruction sending module is used for sending the M transaction instructions to the quotation engine, and the quotation engine is used for executing the M transaction instructions to complete at least one financial transaction.

11. A transaction data processing apparatus for a quotation engine, comprising:

the market quotation acquisition module is used for acquiring current market quotation data;

a market quotation sending module, configured to send the current market quotation data to a policy configuration end, where the policy configuration end is configured to execute the method according to any one of claims 1 to 8 to send M transaction instructions;

The instruction receiving module is used for receiving the M transaction instructions sent by the strategy configuration end, wherein M is an integer greater than or equal to 1;

and the instruction execution module is used for executing the M transaction instructions to complete at least one financial transaction.

12. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-9.

13. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1 to 9.

14. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 9.