CN111861639B - Financial transaction matching method and system - Google Patents
Financial transaction matching method and system Download PDFInfo
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- CN111861639B CN111861639B CN202010601272.2A CN202010601272A CN111861639B CN 111861639 B CN111861639 B CN 111861639B CN 202010601272 A CN202010601272 A CN 202010601272A CN 111861639 B CN111861639 B CN 111861639B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Abstract
The invention discloses a financial transaction matching method and a system, wherein the method comprises the following steps: the generation step receives a forecast price entrusting request of a client, generates a first forecast price entrusting order and stores the first forecast price entrusting order into an undetermined price pool of a memory database; searching a second forecast price entrusting order in the non-pricing pool according to the commodity information of the first forecast price entrusting order based on a preset matching rule; generating a first finished order and a priced consignment order according to a first adjustment unit price of the first forecast price consignment order and a second adjustment unit price of the second forecast price consignment order within a preset matching time, and storing the priced consignment order into a priced pool of the memory database; and matching the priced consignment order based on the preset matching rule to generate a second order. The invention improves the transaction yield and greatly improves the matching speed of the transaction orders based on the processing mode of the memory database in the transaction process.
Description
Technical Field
The invention relates to the technical field of financial electronic transactions, in particular to a financial transaction matching method and a financial transaction matching system.
Background
With the rapid development of information technology and financial industry, the financial transaction mode is changed from the traditional manual price-calling mode to the mode of matching orders by a highly electronic transaction system. The conventional trade matching of orders is usually based on a database mode to perform trade matching, for example, a customer puts a commission on the order, a service receives a request for buying the order to check the data, all data of the order in the database are searched and arranged according to the trade rule, the trade order and the order are matched and matched, the situation of no-trade, partial-trade and full-trade can occur, each situation needs to perform state change on the order, the next order comes in and is searched again, the I/O requirement on the database is high, the processing speed is not ideal under the condition of order concurrency due to hardware bottleneck, and the feedback result delay is high.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a matching method for financial transactions, which can improve the order processing speed.
The invention also provides a financial transaction matching system with the financial transaction matching method.
According to an embodiment of the first aspect of the present invention, a financial transaction matching method includes: the method comprises the steps of generating a request of client side forecast price consignment, generating a first forecast price consignment order, and storing the first forecast price consignment order into an undetermined price pool of a memory database, wherein the first forecast price consignment order comprises a buying and selling type, commodity information, commodity quantity and first unit price; a pre-matching step, based on a preset matching rule, searching a second forecast price entrusting order in the non-pricing pool according to the commodity information of the first forecast price entrusting order and returning the second forecast price entrusting order to the client, wherein the buying and selling type of the first forecast price entrusting order is opposite to the buying and selling type of the second forecast entrusting order; a pre-matching step, in a preset matching time, generating a first finished product order and a priced finished product order according to a first adjustment unit price of the first forecast price consignment order and a second adjustment unit price of the second forecast price consignment order, and storing the priced finished product order into a priced pool of the memory database; and a free matching step, based on the preset matching rule, matching the priced consignment orders in the priced pool, and generating a second order.
The financial transaction matching method provided by the embodiment of the invention has at least the following beneficial effects: the transaction processing method based on the memory database improves the yield of the forecast price stage by pre-matching transaction buyers and sellers in the transaction process, and the transaction orders are freely matched by a computer after pricing is determined, so that the matching speed of the transaction orders is greatly improved; and the success results can be timely fed back to the client, so that the waiting time of the client is shortened, and the convenience is improved.
According to some embodiments of the invention, the pre-matching step comprises: if the purchase type of the first forecast price consignment order is purchase, traversing a sales pre-quotation consignment queue of the un-ordered pool, and searching for the second forecast price consignment order, wherein the purchase type of the second forecast price consignment order is sales, and the first unit price of the second forecast price consignment order is less than or equal to the first unit price of the first forecast price consignment order; and if the second predicted price entrusting order does not exist in the undetermined price pool, inserting the first predicted price entrusting order into a purchase pre-quotation entrusting queue based on a preset inserting rule. And corresponding queues are managed according to the buying and selling types, so that the management and the matching are convenient.
According to some embodiments of the invention, the pre-matching step further comprises: if the purchase type of the first forecast price consignment order is sales, traversing a sales pre-quotation consignment queue of the unfixed pool, and searching for the second forecast price consignment order, wherein the purchase type of the second forecast price consignment order is purchase, and the first unit price of the second forecast price consignment order is greater than or equal to the first unit price of the first forecast price consignment order; and if the second forecast price entrusting order does not exist in the undetermined price pool, inserting the first forecast price entrusting order into a sales pre-quotation entrusting queue based on a preset inserting rule. And corresponding queues are managed according to the buying and selling types, so that the management and the matching are convenient.
According to some embodiments of the invention, the preset insertion rule includes: performing an inserting operation according to the generation time of the first forecast price consignment order, and performing an inserting operation according to the first unit price of the first forecast price consignment order if forecast price consignment orders with the same generation time exist in a queue. The sorting insertion is carried out according to time and further forecast price, so that the management and the matching of orders entrusted by buyers and sellers are facilitated.
According to some embodiments of the invention, the preset matching rules include at least one of: a unit price priority rule, wherein if the purchase type of the first forecast price entrusting order is sales, the second forecast price entrusting order is matched from high to low according to the bid; if the purchase type of the first forecast price entrusting order is purchase, matching the second forecast price entrusting order from low price to high price; and a time priority rule for matching the first forecast price entrusting order according to the sequence of the generation time of the second forecast price entrusting order. The two matching modes are provided, the former can respectively achieve more benefits for buyers and sellers, and the latter can meet the time-sensitive requirements of clients, so that the matching is more flexible and convenient.
According to some embodiments of the invention, the matching step comprises: if the first adjustment unit price is equal to the second adjustment unit price in the preset matching time, the pre-matching is successful, and the first finished goods order and the priced consignment order are generated according to the commodity quantity; and if the preset matching time is overtime, generating the priced consignment order according to the first unit price or the first adjustment unit price of the first forecast consignment order. The matching time is preset, and clients of buyers and sellers can automatically adjust quotation unit price in the matching time period, so that the trading is promoted, the operation is convenient, and the trading rate is improved.
According to some embodiments of the invention, a method of generating the first order and the priced consignment from the quantity of items includes: obtaining the first commodity number of the seller and the second commodity number of the purchaser according to the first forecast price entrusting order and the second forecast price entrusting order; if the first commodity number is smaller than or equal to the second commodity number, generating the first order according to the first commodity number; if the first commodity number is larger than the second commodity number, generating the first order according to the second commodity number; and generating the corresponding priced consignment order according to the difference value of the first commodity quantity and the second commodity quantity. And after successful matching, generating corresponding deal orders, wherein the balance part is priced, and directly entering a priced pool for free matching, thereby improving the processing speed.
According to some embodiments of the invention, the market information is updated in real time according to the commodity classification according to the generation of the first and second order. The market information is dynamically updated in real time, so that the customer can conveniently make next adjustment to the order according to the market.
A financial transaction matching system according to an embodiment of the second aspect of the present invention, comprising: the client module is used for receiving a forecast price entrusting request and comprises the following steps: the buying and selling type, commodity information, commodity quantity and first unit price; the consignment order generation module is used for generating a first forecast price consignment order according to the forecast price consignment request; the first matching module is used for matching a second forecast price commission order according to the commodity information based on a preset matching rule, wherein the buying and selling type of the first forecast price commission order is opposite to the buying and selling type of the second forecast commission order; the matching module is used for generating a first finished order and a priced order according to the first adjustment unit price of the first forecast price order and the second adjustment unit price of the second forecast price order in the preset matching time; the second matching module is used for matching the priced consignment orders in the priced pool based on the preset matching rule to generate a second order; the memory data module is used for storing and managing the first forecast price consignment order, the second quotation consignment order and the priced consignment order based on a memory database; and the database management module is used for managing the first and second order forms.
The financial transaction matching system provided by the embodiment of the invention has at least the following beneficial effects: the transaction processing method based on the memory database improves the yield of the forecast price stage by pre-matching the transaction buyers and sellers in the transaction process, and the transaction order matching speed is greatly improved by freely matching the transaction buyers and sellers by a computer after pricing is determined.
According to some embodiments of the invention, further comprising: and the quotation processing module is used for updating quotation information in real time according to commodity classification according to the generation of the first and second trading orders. The market information is dynamically updated in real time, so that the customer can conveniently make next adjustment to the order according to the market.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic diagram of a process flow of a method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the operation of the buyer and seller on a forecast price order in the method according to the embodiment of the present invention;
FIG. 3 is a detailed flow chart of the pre-matching step in the method according to the embodiment of the present invention;
FIG. 4 is a block schematic diagram of a system of an embodiment of the present invention;
fig. 5 is a schematic diagram of data interaction after deployment and implementation of a system module according to an embodiment of the present invention.
Reference numerals:
the method comprises the steps of order generation S100, pre-matching S200, pre-matching S300 and free matching S400;
client module 100, delegated order generation module 200, first matching module 300, matching module 400, second matching module 500, memory data module 600, database management module 700, and quotation processing module 800.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, a plurality means one or more, and a plurality means two or more, and it is understood that greater than, less than, exceeding, etc. does not include the present number, and it is understood that greater than, less than, within, etc. include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
Referring to fig. 1, the method of an embodiment of the present invention includes the steps of: order generation step S100, pre-matching step S200, pre-matching step S300, and free matching step S400. In the order generation step S100, the client sends a forecast price order request of the user, where the forecast price order request includes the purchase type, commodity information, commodity quantity and forecast price of the user, and the server generates a first forecast price order according to the forecast price order request, where the first forecast price order includes the purchase type (sales or purchase), commodity information (commodity category, name, commodity identification code, etc.), commodity quantity and first unit price (i.e. forecast price in the forecast price order request), and the first forecast price order is placed in an unfixed pool of the memory database for management. In the pre-matching step S200, a second forecast price order matching with the first forecast price order is searched for in the unfixed pool based on a preset matching rule, and the commodity of the first forecast price order is the same as the commodity of the second forecast price order, but the purchase type of the first forecast price order is opposite to the purchase type of the second forecast price order. For example: the client A initiates a forecast price consignment request to generate a forecast price consignment order, wherein consignment content is 100 goods needing to be purchased; the orders matching the forecast price order are: and 10 goods are sold in the first order, 1000 goods are sold in the second order, and the like, and the single order and the second order which meet the matching conditions are returned to the first customer. In the pre-matching step S300, in a preset matching time, a first finished product order and a priced finished product order are generated according to a first adjustment unit price of the first forecast price finished product order and a second adjustment unit price of the second forecast price finished product order, and the priced finished product order is stored in a priced pool of the memory database. In the free matching step S400, the priced delegated orders in the priced pool are matched based on the preset matching rule, and a second order is generated. In the pre-matching stage, the client can adjust the quotation of the self order according to the matched order, so that the flexibility is improved, the yield is improved, the total number of the orders in the free matching frequent stage is reduced, and the data processing speed is further improved through the memory database.
In the method of the embodiment of the invention, the buyer and the seller operate the forecast price consignment order, and referring to fig. 2, a client first initiates a forecast price consignment request, requests to sell 100 certain commodities, and generates a forecast price consignment order A with a forecast price of 100; customer B initiates a pre-bid consignment request requesting to purchase 70 such items, the pre-bid being 200, and a pre-bid consignment order B is generated. The server finds that the order A matches the order B, displays the order B to the client A, and displays the order A to the client B. The first client and the second client can adjust own quotations within preset matching time, and if the matching is achieved, the pre-matching is successful; otherwise, the pre-match is unsuccessful. Beyond the predicted matching time, the corresponding order will automatically generate a priced delegated order, which enters the priced pool of the memory database for free matching, and the commodity price of the priced delegated order will not be modifiable. In the embodiment of the invention, commodity information comprises commodity basic information such as commodity category, name, commodity identification code and the like, warehouse information, delivery date and the like, and when matching, the commodity information can be compared firstly according to customer requirements, and then matching and matching can be carried out according to preset matching rules according to conditions.
In one of the embodiments of the present invention, forecast price orders in an unfixed pool are managed by two groups according to sales types: sales pre-quotation delegation queue and purchase pre-quotation delegation queue. If a purchased forecast price consignment order A is received, traversing a sales pre-quotation consignment queue, and searching a matched sales forecast price consignment order B, wherein the first unit price of the forecast price consignment order B is smaller than or equal to the first unit price of the pre-quotation consignment order A; if the sales forecast price request queue does not contain such an order B, the order A is inserted into the purchase forecast price request queue according to the time sequence generated, and if the purchase forecast price request queue contains a plurality of orders with the same time as the generation time of the order A, the insertion operation is performed according to the first unit price sequence. If a sales forecast price consignment order C is received, traversing a purchase pre-quotation consignment queue, searching a matched sales forecast price consignment order D, wherein the first unit price of the forecast price consignment order C is larger than or equal to the first unit price of the pre-quotation order D, inserting the order C into the sales forecast price consignment queue according to the generated time sequence if the purchase forecast price consignment queue does not contain the order D, and performing the inserting operation according to the first unit price sequence if the sales forecast price consignment queue contains a plurality of orders with the same generation time as the order C. It should be understood that, in an embodiment of the present invention, for a forecasted bid order a, a plurality of bid orders B with opposite purchase and sale types may be matched in an undetermined pool, and these pre-bid orders B may be partially or fully sent to the corresponding clients according to a set rule. In other embodiments of the present invention, if the offers of the orders of both parties are within a threshold range, then the two orders are considered to match each other and sent to the corresponding clients to enter the matching stage.
In a second embodiment of the present invention, the preset matching rule includes at least one of the following: monovalent priority rules and time priority rules. In the unit price priority rule, the order that matches the client with the largest profit is prioritized, including: if the purchase and sale type of the first forecast price entrusting order is sales, matching the second forecast price entrusting order from high to low according to the bid; if the purchase and sale type of the first forecast price entrust order is purchase, the second forecast price entrust order is matched from low to high according to the selling price. In the time priority rule, the priority matching of the earlier order includes: and matching the first forecast price order according to the sequence of the generation time of the second forecast price order. If there are multiple second forecast price orders within a period of time, such as the day of 5 months and 2 days, the matched second forecast price orders may also continue to be arranged according to the unit price priority rule.
In the pre-matching step according to the embodiment of the present invention, referring to fig. 3, it is first determined whether the two matched parties are within a preset matching time, and if so, a first adjustment price of the first forecast price order and a second adjustment price of the second forecast price order are obtained. In the pre-matching time period, the first unit price of the pre-quotation order of the buyer and the seller can be adjusted by the client through the client, or the business staff can carry out negotiation adjustment through contacting the clients of the buyer and the seller until the first unit price of the buyer and the seller agree, namely the first adjustment price is equal to the second adjustment price, and the matching is successful. At this time, the first commodity number of the seller and the second commodity number of the purchaser are acquired from the first forecast price order and the second forecast price order, respectively. If the first commodity number is smaller than or equal to the second commodity number, generating a first transaction order, wherein the transaction amount of the commodity is the first commodity number; the purchase buyer's remaining commodity commission amount generates a priced commission, which enters a priced pool of the memory database. Obviously, when the remaining commodity commission amount is zero, the priced commission is not required to be generated. If the first commodity quantity is larger than the second commodity quantity, generating a first transaction order, wherein the transaction quantity of the commodity is the second commodity quantity; the commodity consignment quantity remained by the seller generates a priced consignment list which enters a priced pool of the memory database.
After entering the priced pool, the price of the priced order may not be changed any more, and in an embodiment of the present invention, the priced order of the priced pool is still managed in two groups according to the purchase and sale type. The sales type priced orders are inserted into the priced sales order queue according to the pricing time, and the purchase type priced orders are inserted into the priced purchase order queue according to the pricing time. In the case of the same pricing time, the pricing data is further inserted into the corresponding queue. And carrying out matching for the priced order based on a preset matching rule, and generating a second order for the exchange to push to the client. The preset matching rule comprises at least one of the following: monovalent priority rules and time priority rules. The method of the embodiment of the invention further comprises the following steps: and updating the market information in real time according to the generation of the first and second order, and pushing the market information to the client.
Referring to fig. 4, a system of an embodiment of the present invention includes: client module 100, delegated order generation module 200, first matching module 300, matching module 400, second matching module 500, memory data module 600, and database management module 700. A client module 100, configured to receive a forecast price delegation request, including: the buying and selling type, commodity information, commodity quantity and first unit price. The delegated order generation module 200 is configured to generate a first forecasted price delegated order according to the forecasted price delegation request. The first matching module 300 is configured to match the second forecasted price order according to the commodity information based on a preset matching rule, where the purchase type of the first forecasted price order is opposite to the purchase type of the second forecasted price order. The matching module 400 is configured to generate a first submitted order and a priced submitted order according to a first adjusted unit price of the first forecast price submitted order and a second adjusted unit price of the second forecast price submitted order within a preset matching time. The second matching module 500 is configured to match the priced delegated orders in the priced pool based on a preset matching rule, and generate a second delivery order; the memory data module 600 is configured to store and manage the first forecast price order, the second quotation order, and the priced order based on the memory database; the database management module 700 is configured to manage a first order and a second order.
The system according to the embodiment of the present invention, referring to fig. 4, further includes: the market processing module 800 is configured to update market information in real time according to the commodity classification according to the generation of the first and second order, and push the market information to the client module 100. The client module 100 may also query the merchandise to obtain real-time market information.
In a system according to one embodiment of the invention, the processing of data is described with reference to fig. 5. First, a user initiates a delegation request through the client module 100 (including but not limited to a PC side, a mobile device side, etc.), is preprocessed by a front-end server, and forwarded to a data center. The data center creates a corresponding forecast price order by the order generation module 200 and feeds back a corresponding order response result to the client. The pre-quotation order enters the corresponding buffer queue of the memory data management module 600, sequentially enters the matching core for matching, if matching is successful, the corresponding matching result is fed back to the data center, the data center stores the order into the data management module 700, and the corresponding success result is fed back to the client module 100. It should be understood that in the embodiment of the present invention, the matching method of the unpaced pool and the matching method of the priced pool are similar, and only the operation objects are different, so the first matching module 300, the matching module 400, and the second matching module 500 are all disposed on the matching core.
Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of the present disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various exemplary implementations and architectures have been described in terms of embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, apparatuses and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, some of the blocks in the block diagrams and flowcharts may not need to be performed in the order shown, or may not need to be performed in their entirety, according to some embodiments. In addition, additional components and/or operations beyond those shown in blocks of the block diagrams and flowcharts may be present in some embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functions described herein (e.g., one or more operations of the exemplary methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An exemplary programming language may be a low-level programming language, such as an assembly language associated with a particular hardware architecture and/or operating system platform. Software components including assembly language instructions may need to be converted into executable machine code by an assembler prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language that may be portable across a variety of architectures. Software components, including higher-level programming languages, may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the programming language examples described above may be executed directly by an operating system or other software component without first converting to another form.
The software components may be stored as files or other data storage constructs. Software components having similar types or related functionality may be stored together, such as in a particular directory, folder, or library. The software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present invention.
Claims (8)
1. A method of matching financial transactions, comprising:
the method comprises the steps of generating a request of client side forecast price consignment, generating a first forecast price consignment order, and storing the first forecast price consignment order into an undetermined price pool of a memory database, wherein the first forecast price consignment order comprises a buying and selling type, commodity information, commodity quantity and first unit price;
a pre-matching step of searching a second forecast price entrusting order in the non-pricing pool according to the commodity information of the first forecast price entrusting order based on a preset matching rule and returning the second forecast price entrusting order to the client, wherein the buying and selling type of the first forecast price entrusting order is opposite to the buying and selling type of the second forecast price entrusting order;
a pre-matching step, in a preset matching time, generating a first finished product order and a priced finished product order according to a first adjustment unit price of the first forecast price consignment order and a second adjustment unit price of the second forecast price consignment order, and storing the priced finished product order into a priced pool of the memory database;
a free matching step of matching the priced delegated orders in the priced pool based on the preset matching rule to generate a second order of the interchange;
the matching step comprises the following steps: if the first adjustment unit price is equal to the second adjustment unit price in the preset matching time, the pre-matching is successful, and the first finished goods order and the priced consignment order are generated according to the commodity quantity; if the preset matching time is overtime, generating the priced consignment order according to the first unit price or the first adjustment unit price of the first predicted consignment order;
the method for generating the first order and the priced delegated order according to the commodity quantity comprises the following steps: obtaining the first commodity number of the seller and the second commodity number of the purchaser according to the first forecast price entrusting order and the second forecast price entrusting order; if the first commodity number is smaller than or equal to the second commodity number, generating the first order according to the first commodity number; if the first commodity number is larger than the second commodity number, generating the first order according to the second commodity number; and generating the corresponding priced consignment order according to the difference value of the first commodity quantity and the second commodity quantity.
2. The financial transaction matchmaking method according to claim 1, wherein the pre-matching step includes:
if the purchase type of the first forecast price consignment order is purchase, traversing a sales pre-quotation consignment queue of the un-ordered pool, and searching for the second forecast price consignment order, wherein the purchase type of the second forecast price consignment order is sales, and the first unit price of the second forecast price consignment order is less than or equal to the first unit price of the first forecast price consignment order;
and if the second predicted price entrusting order does not exist in the undetermined price pool, inserting the first predicted price entrusting order into a purchase pre-quotation entrusting queue based on a preset inserting rule.
3. The financial transaction matchmaking method of claim 2, wherein the pre-matching step further includes:
if the purchase type of the first forecast price consignment order is sales, traversing a sales pre-quotation consignment queue of the unfixed pool, and searching for the second forecast price consignment order, wherein the purchase type of the second forecast price consignment order is purchase, and the first unit price of the second forecast price consignment order is greater than or equal to the first unit price of the first forecast price consignment order;
and if the second forecast price entrusting order does not exist in the undetermined price pool, inserting the first forecast price entrusting order into a sales pre-quotation entrusting queue based on a preset inserting rule.
4. A method of matching financial transactions according to claim 2 or claim 3 wherein the predetermined insertion rules include:
performing an inserting operation according to the generation time of the first forecast price consignment order, and performing an inserting operation according to the first unit price of the first forecast price consignment order if forecast price consignment orders with the same generation time exist in a queue.
5. The financial transaction matchmaking method of claim 1, wherein the preset matching rules include at least one of:
a unit price priority rule, wherein if the purchase type of the first forecast price entrusting order is sales, the second forecast price entrusting order is matched from high to low according to the bid; if the purchase type of the first forecast price entrusting order is purchase, matching the second forecast price entrusting order from low price to high price;
and a time priority rule for matching the first forecast price entrusting order according to the sequence of the generation time of the second forecast price entrusting order.
6. The financial transaction matchmaking method of claim 1, further comprising:
and updating the market information in real time according to the commodity classification according to the first and second order.
7. A financial transaction matching system employing the method of any one of claims 1 to 6, comprising:
the client module is used for receiving a forecast price entrusting request and comprises the following steps: the buying and selling type, commodity information, commodity quantity and first unit price;
the consignment order generation module is used for generating a first forecast price consignment order according to the forecast price consignment request;
the first matching module is used for matching a second predicted price consignment order according to the commodity information based on a preset matching rule, wherein the buying and selling type of the first predicted price consignment order is opposite to the buying and selling type of the second predicted price consignment order;
the matching module is used for generating a first finished order and a priced order according to the first adjustment unit price of the first forecast price order and the second adjustment unit price of the second forecast price order in the preset matching time;
the second matching module is used for matching the priced consignment orders in the priced pool based on the preset matching rule to generate a second order;
the memory data module is used for storing and managing the first forecast price consignment order, the second quotation consignment order and the priced consignment order based on a memory database;
and the database management module is used for managing the first and second order forms.
8. The financial transaction matching system of claim 7, further comprising:
and the quotation processing module is used for updating quotation information in real time according to commodity classification according to the generation of the first and second trading orders.
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| CN112529652B (en) * | 2020-12-04 | 2023-05-05 | 中信银行股份有限公司 | Processing method and device for central order book |
| CN112766575A (en) * | 2021-01-21 | 2021-05-07 | 中信银行股份有限公司 | Intelligent routing method and system based on complex order |
| CN112966382A (en) * | 2021-03-10 | 2021-06-15 | 华泰证券股份有限公司 | Securities trading simulation method and system |
| CN113592473A (en) * | 2021-07-28 | 2021-11-02 | 中国人民银行清算总中心 | Inter-bank fund clearing processing method and device |
| CN114283001A (en) * | 2021-12-28 | 2022-04-05 | 江苏点石乐投科技有限公司 | Matching system based on memory algorithm |
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