CN111861639A - Financial transaction matching method and system - Google Patents
Financial transaction matching method and system Download PDFInfo
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- CN111861639A CN111861639A CN202010601272.2A CN202010601272A CN111861639A CN 111861639 A CN111861639 A CN 111861639A CN 202010601272 A CN202010601272 A CN 202010601272A CN 111861639 A CN111861639 A CN 111861639A
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- 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 financial transaction matching system, wherein the method comprises the following steps: the method comprises the steps of receiving a forecast price entrusting request of a client, generating a first forecast price entrusting order and storing the first forecast price entrusting order in an undetermined price pool of a memory database; searching a second forecast price entrusted order in the non-pricing pool according to the commodity information of the first forecast price entrusted order based on a preset matching rule; within preset matching time, generating a first transaction order and a priced order according to a first adjusting unit price of the first forecast price entrusting order and a second adjusting unit price of the second forecast price entrusting order, and storing the priced order into a priced pool of the memory database; and matching the priced entrusted order based on the preset matching rule to generate a second committed order. The invention improves the transaction rate and greatly improves the speed of matching 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 and electronic transactions, in particular to a financial transaction matching method and 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 traditional trade matching of orders is usually based on a database mode, for example, a client requests a buyer to send an order, a service receives a purchase order request to check data, all data of a sale order in the database are inquired and arranged according to a trade rule when the check rule is met, the purchase order and the sale order are matched, the conditions of non-deal, partial deal and total deal can occur, the state of the purchase order needs to be changed in each condition, when the next order comes in and inquires one side again, the I/O requirement on the database is higher, the processing speed is not ideal under the condition that orders are sent simultaneously due to hardware bottleneck, and the feedback result delay is high.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a financial transaction matching method which can improve the order processing speed.
The invention also provides a financial transaction matching system with the financial transaction matching method.
The financial transaction match matching method according to the embodiment of the first aspect of the invention comprises the following steps: a consignment order generation step, namely receiving a forecast price consignment request of a client, generating a first forecast price consignment order and storing the first forecast price consignment order in 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 a first unit price; a pre-matching step, based on a preset matching rule, searching a second forecast price entrusted order in the non-pricing pool according to the commodity information of the first forecast price entrusted order and returning the second forecast price entrusted order to the client, wherein the buying and selling types of the first forecast price entrusted order are opposite to the buying and selling types of the second forecast entrusted order; a pre-matching step, in which a first transaction order and a priced consignment order are generated 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 the priced consignment order is stored in a priced pool of the memory database; and a free matching step, namely matching the priced entrusted orders in the priced pool based on the preset matching rule to generate a second committed order.
The financial transaction matching method provided by the embodiment of the invention at least has the following beneficial effects: in the transaction process, based on the processing mode of the memory database, the transaction rate of the price forecasting stage is improved by pre-matching the transaction buyer and the transaction seller, the price is determined and then freely matched by a computer, and the transaction order matching speed is greatly improved; and the transaction result can be fed back to the client in time, 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 buying and selling type of the first forecast price entrusted order is purchasing, traversing a sales pre-quote entrusted queue of the non-pricing pool, and searching for a second forecast price entrusted order, wherein the buying and selling type of the second forecast price entrusted order is selling, and the first unit price of the second forecast price entrusted order is less than or equal to the first unit price of the first forecast price entrusted order; and if the second forecast price entrusting order does not exist in the non-pricing pool, inserting the first forecast 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 facilitated.
According to some embodiments of the invention, the pre-matching step further comprises: if the buying and selling type of the first forecast price entrusted order is selling, traversing a selling pre-quoted entrusted queue of the non-pricing pool, and searching for a second forecast price entrusted order, wherein the buying and selling type of the second forecast price entrusted order is purchasing, and the first unit price of the second forecast price entrusted order is more than or equal to the first unit price of the first forecast price entrusted order; and if the second forecast price entrusting order does not exist in the non-pricing pool, inserting the first forecast price entrusting order into a sale 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 facilitated.
According to some embodiments of the invention, the preset insertion rule comprises: and performing insertion operation according to the generation time of the first forecast price entrusted order, and performing insertion operation according to the first unit price of the first forecast price entrusted order if the forecast price entrusted order with the same generation time exists in a queue. And the orders are inserted according to the time and the 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 rule comprises at least one of: a unit price priority rule, wherein if the buying and selling type of the first forecast price entrusted order is sales, the second forecast price entrusted order is matched according to the bidding price from high to low; matching the second forecast price order from low to high according to the selling price if the buying and selling type of the first forecast price order is purchasing; and the time priority rule is used for matching the first forecast price entrusted order according to the sequence of the generation time of the second forecast price entrusted order. The two matching modes are provided, the former can respectively seek more benefits for buyers and sellers, and the latter can meet the time-sensitive requirement of clients, so that the matching is more flexible and convenient.
According to some embodiments of the invention, the matching step comprises: within the preset matching time, if the first adjusting unit price is equal to the second adjusting unit price, the matching is successful, and the first transaction order and the priced entrusted order are generated according to the quantity of the commodities; and if the preset matching time is overtime, generating the priced order according to the first unit price or the first adjusting unit price of the first forecast price order. The matching time is preset, and in the matching time period, the clients of the buyer and the seller can adjust the price of the quoted prices by themselves, thereby promoting the transaction, facilitating the operation and improving the transaction rate.
According to some embodiments of the invention, the method of generating the first committed order and the priced committed order according to the quantity of the good comprises: obtaining a first commodity quantity of a seller and a second commodity quantity of a buyer according to the first forecast price entrusting order and the second forecast price entrusting order; if the first commodity quantity is less than or equal to the second commodity quantity, generating the first transaction order according to the first commodity quantity; if the first commodity quantity is larger than the second commodity quantity, generating the first transaction order according to the second commodity quantity; and generating the corresponding priced entrusted order according to the difference value of the first commodity quantity and the second commodity quantity. And (4) matching successfully, generating a corresponding bargain order, pricing the balance part, and directly entering a priced pool to perform a free matching step, so that the processing speed is increased.
According to some embodiments of the present invention, market information is updated in real time according to the classification of the goods according to the generation of the first committed order and the second committed order. The market information is dynamically updated in real time, so that the client can conveniently adjust the order of the client according to the market.
A financial transaction matching system according to a second aspect embodiment of the present invention comprises: the client module is used for receiving a pre-quotation entrusting request and comprises: the method comprises the following steps of (1) acquiring a purchase type, commodity information, commodity quantity and a first unit price; the entrusting order generation module is used for generating a first forecast price entrusting order according to the forecast price entrusting request; the first matching module is used for matching a second forecast price order according to the commodity information based on a preset matching rule, wherein the buying and selling type of the first forecast price order is opposite to the buying and selling type of the second forecast order; the matching module is used for generating a first transaction order and a priced order according to a first adjusting unit price of the first forecast price entrusted order and a second adjusting unit price of the second forecast price entrusted order within preset matching time; the second matching module is used for matching the priced entrusted orders in the priced pool based on the preset matching rule to generate second committed orders; the memory data module is used for storing and managing the first forecast price entrusting order, the second quote entrusting order and the priced entrusting order based on a memory database; and the database management module is used for managing the first transaction order and the second transaction order.
The financial transaction matching system provided by the embodiment of the invention at least has the following beneficial effects: in the transaction process, the transaction rate in the price forecasting stage is improved by pre-matching transaction buyers and sellers based on a processing mode of a memory database, the price is determined and then freely matched by a computer, and the transaction order matching speed is greatly improved.
According to some embodiments of the invention, further comprising: and the market processing module is used for updating market information in real time according to the commodity classification according to the generation of the first transaction order and the second transaction order. The market information is dynamically updated in real time, so that the client can conveniently adjust the order of the client according to the market.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic illustration of a flow of steps of a method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating operations of a buyer and a seller in a method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the detailed steps of the pre-matching step in the method according to the embodiment of the present invention;
FIG. 4 is a block schematic diagram of modules of a system of an embodiment of the present invention;
Fig. 5 is a schematic diagram of data interaction after implementation of system module deployment according to an embodiment of the present invention.
Reference numerals:
a request form generation step S100, a pre-matching step S200, a pre-matching step S300 and a free matching step S400;
the system comprises a client module 100, a consignment order generating module 200, a first matching module 300, a matching module 400, a second matching module 500, a memory data module 600, a database management module 700 and a market situation processing module 800.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood 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: a request form generation step S100, a pre-matching step S200, a pre-matching step S300 and a free matching step S400. In the step S100 of generating the order, the client sends a request for requesting a forecast price of the user, where the request includes a type of purchase and sale to be requested, commodity information, commodity quantity, and a forecast price, and the server generates a first order for requesting the forecast price according to the request for requesting the forecast price, where the first order for requesting the forecast price includes a type of purchase and sale (sales or purchase), commodity information (commodity type, name, commodity identification code, etc.), commodity quantity, and a first unit price (i.e. a pre-quoted price in the request for requesting the forecast price), and the first order for requesting the forecast price is put into an unqualified pool of the memory database for management. In the pre-matching step S200, based on a preset matching rule, a second forecast price order matched with the first forecast price order is searched in the undetermined price pool, where the goods of the first forecast price order are the same as those of the second forecast price order, but the buy-sell type of the first forecast price order is opposite to that of the second forecast price order. For example: a forecast price entrusting request initiated by a client A generates a forecast price entrusting order, wherein entrusting contents are 100 pieces of goods A to be purchased and the like; the orders matched with the forecast price entrusted order are as follows: the order A is sold 10 pieces, the order B is sold 1000 pieces, and the like, and the order meeting the matching condition and the order B are returned to the customer A. In the pre-matching step S300, a first committed order and a priced committed order are generated according to a first adjusted unit price of the first forecast price order and a second adjusted unit price of the second forecast price order within a preset matching time, and the priced committed order is stored in a priced pool of the memory database. In the free matching step S400, based on a preset matching rule, matching the priced order in the priced pool to generate a second committed order. In the pre-matching stage, the customer can adjust the price of the self order according to the matched order, so that the flexibility is increased, the transaction rate can be improved, the total number of the orders in the frequent free matching 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 order of the forecast price entrustment, referring to fig. 2, a client A initiates a forecast price entrustment request to require 100 commodities of a certain kind to be sold, the forecast price is 100, and a forecast price entrustment order A is generated; customer B initiates a pre-quote order request for 70 such items to be purchased, the forecasted price is 200, and a pre-quote order B is generated. And the server side finds that the order A is matched with the order B, displays the order B to the client A and displays the order A to the client B. The client A and the client B can adjust the quotations of the client A and the client B within the preset matching time, and if the quotations are in agreement, the matching is successfully performed; otherwise, the pre-match is unsuccessful. And if the expected matching time is exceeded, the corresponding order automatically generates a priced entrusted order, the order enters a priced pool of the memory database for free matching, and the commodity unit price of the priced entrusted order cannot be changed. In the embodiment of the invention, the commodity information comprises the commodity basic information such as commodity category, name, commodity identification code and the like, and also comprises the information of the warehouse where the commodity is located, delivery date and the like, and the commodity information can be compared according to the requirements of customers during matching, and matching is carried out according to the preset matching rule after the commodity information meets the conditions.
In one embodiment of the invention, forecast price orders in an unshorted pool are managed in two groups by deal type: a sales pre-quote delegation queue and a purchase pre-quote delegation queue. If a purchased forecast price entrusting order A is received, traversing a sales pre-quote entrusting queue, and searching a matched sales type forecast price entrusting order B, wherein the first unit price of the forecast price entrusting order B is less than or equal to that of the A of the pre-quote entrusting order; if there is no such order B in the sales forecast price request queue, the order a is inserted into the purchase forecast price request queue in the order of generation time, and if there are a plurality of orders included in the purchase forecast price request queue at the same time as the generation time of the order a, the insertion operation is performed in the order of the first unit price. And if a sales forecast price entrusting order C is received, traversing the purchase pre-quote entrusting queue, and searching a matched sales type forecast price entrusting order D, wherein the first unit price of the forecast price entrusting order C is more than or equal to the first unit price of the pre-quote entrusting order D, if the purchase forecast price entrusting queue does not have the order D, inserting the order C into the sales forecast price entrusting queue according to the generation time sequence, and if the sales forecast price entrusting queue comprises a plurality of orders with the same generation time as the order C, performing insertion operation according to the sequence of the first unit price. It should be understood that, in the embodiment of the present invention, for one forecast price order a, a plurality of forecast price order orders B with opposite buying and selling types can be matched in the non-pricing pool, and the pre-quoted order orders B can be partially or completely transmitted to the corresponding client according to the set rules. In other embodiments of the present invention, if the quotes of the buyer and seller orders are within a threshold range class, the two orders are considered to match each other and are 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: unit price priority rules and time priority rules. In the unit price priority rule, the order with the highest profit of the client is matched preferentially, which comprises the following steps: if the buying and selling type of the first forecast price entrusted order is sales, matching a second forecast price entrusted order from high to low according to the bid price; if the purchase type of the first forecast price order is purchase, the order is matched with the second forecast price order 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 entrusted order according to the sequence of the generation time of the second forecast price entrusted order. If there are multiple second forecast price order orders within the time, such as 5 months and 2 days, the matched second forecast price order orders can be further arranged according to the unit price priority rule.
Referring to fig. 3, the matching step of the embodiment of the invention first judges whether the two matched parties are within the preset matching time, and if so, obtains a first adjusted price of the first forecast price order and a second adjusted price of the second forecast price order. In the pre-matching time period, the first unit price of the pre-quotation order of the buyer and the seller can be automatically adjusted by the client, or an operator can negotiate and adjust by contacting the client of the buyer and the seller until the first unit prices of the buyer and the seller reach the same, namely the first adjusted price is equal to the second adjusted price, and the matching is successful. At this time, the first product quantity of the seller and the second product quantity of the buyer are acquired from the first forecast price order and the second first forecast price order, respectively. If the first commodity quantity is less than or equal to the second commodity quantity, generating a first transaction order, wherein the transaction amount of the commodities is the first commodity quantity; and generating a priced entrusting order by the residual commodity entrusting quantity of the purchaser, and entering a priced pool of the memory database. It is clear that the priced order need not be generated when the remaining commodity order quantity is zero. If the first commodity quantity is larger than the second commodity quantity, generating a first transaction order, wherein the transaction amount of the commodities is the second commodity quantity; and generating a priced consignment list by the residual commodity consignment quantity of the seller, and entering a priced pool of the memory database.
After entering the priced pool, the unit price of the priced order can not be changed any more, and in the embodiment of the invention, the priced order of the priced pool is still managed in two groups according to the buying and selling types. A priced order for the type of sale is inserted into the priced sales order queue per pricing time and a priced order for the type of purchase is inserted into the priced purchase order queue per pricing time. In case of the same pricing time, the data is further inserted into the corresponding queue according to the pricing. And matching the priced order based on a preset matching rule, generating a second bargain order and pushing the second bargain order to the client. The preset matching rule comprises at least one of the following: unit price priority rules and time priority rules. The method of the embodiment of the invention further comprises the following steps: and updating market information in real time according to the generation of the first and second transaction orders according to the commodity type, and pushing the market information to the client.
Referring to fig. 4, a system of an embodiment of the invention includes: the system comprises a client module 100, a consignment order generating module 200, a first matching module 300, a matching module 400, a second matching module 500, a memory data module 600 and a database management module 700. The client module 100 is configured to receive a forecast price delegation request, and includes: the type of purchase, the commodity information, the quantity of the commodity, and the first unit price. A delegation order generating module 200, configured to generate a first forecast price delegation order according to the forecast price delegation request. The first matching module 300 is configured to match the second forecast price order according to the commodity information based on a preset matching rule, where a trade type of the first forecast price order is opposite to a trade type of the second forecast order. The matching module 400 is configured to generate a first committed order and a priced committed order according to a first adjustment unit price of the first forecast price order and a second adjustment unit price of the second forecast price order within a preset matching time. The second matching module 500 is configured to match the priced entrusted orders in the priced pool based on a preset matching rule to generate a second committed order; the memory data module 600 is configured to perform storage management on the first forecast price entrusted order, the second quoted price entrusted order, and the priced entrusted order based on the memory database; the database management module 700 is used for managing the first committed order and the second committed order.
The system of 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 and push the market information to the client module 100 according to the generation of the first committed order and the second committed order. The client module 100 may also query the goods to obtain real-time market information.
In the system of one embodiment of the present invention, the processing of data is described with reference to fig. 5. First, a user initiates a request for delegation through a client module 100 (including but not limited to a PC side, a mobile device side, etc.), and the request 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 a corresponding buffer queue of the memory data management module 600, enters a matching core in sequence, performs matching, feeds back a corresponding matching result to the data center if matching is successful, stores the order into the data management module 700 by the data center, and feeds back a corresponding transaction result to the client module 100. It should be understood that, in the embodiment of the present invention, the matching method of the non-pricing pool and the matching method of the pricing pool are similar, and only the operation objects are different, and therefore, 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 have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this 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 illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative 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, apparatus 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, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain 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 functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include 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 above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. 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 those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A financial transaction match matching method, comprising:
a consignment order generation step, namely receiving a forecast price consignment request of a client, generating a first forecast price consignment order and storing the first forecast price consignment order in 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 a first unit price;
a pre-matching step, based on a preset matching rule, searching a second forecast price entrusted order in the non-pricing pool according to the commodity information of the first forecast price entrusted order and returning the second forecast price entrusted order to the client, wherein the buying and selling types of the first forecast price entrusted order are opposite to the buying and selling types of the second forecast entrusted order;
A pre-matching step, in which a first transaction order and a priced consignment order are generated 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 the priced consignment order is stored in a priced pool of the memory database;
and a free matching step, namely matching the priced entrusted orders in the priced pool based on the preset matching rule to generate a second committed order.
2. The financial transaction match matching method of claim 1, wherein the pre-matching step comprises:
if the buying and selling type of the first forecast price entrusted order is purchasing, traversing a sales pre-quote entrusted queue of the non-pricing pool, and searching for a second forecast price entrusted order, wherein the buying and selling type of the second forecast price entrusted order is selling, and the first unit price of the second forecast price entrusted order is less than or equal to the first unit price of the first forecast price entrusted order;
and if the second forecast price entrusting order does not exist in the non-pricing pool, inserting the first forecast price entrusting order into a purchase pre-quotation entrusting queue based on a preset inserting rule.
3. The financial transaction match matching method of claim 2, wherein the pre-matching step further comprises:
if the buying and selling type of the first forecast price entrusted order is selling, traversing a selling pre-quoted entrusted queue of the non-pricing pool, and searching for a second forecast price entrusted order, wherein the buying and selling type of the second forecast price entrusted order is purchasing, and the first unit price of the second forecast price entrusted order is more than or equal to the first unit price of the first forecast price entrusted order;
and if the second forecast price entrusting order does not exist in the non-pricing pool, inserting the first forecast price entrusting order into a sale pre-quotation entrusting queue based on a preset inserting rule.
4. The financial transaction match matching method according to claim 2 or 3, wherein the preset insertion rule comprises:
and performing insertion operation according to the generation time of the first forecast price entrusted order, and performing insertion operation according to the first unit price of the first forecast price entrusted order if the forecast price entrusted order with the same generation time exists in a queue.
5. The financial transaction match matching method of claim 1, wherein the preset matching rules comprise at least one of the following:
A unit price priority rule, wherein if the buying and selling type of the first forecast price entrusted order is sales, the second forecast price entrusted order is matched according to the bidding price from high to low; matching the second forecast price order from low to high according to the selling price if the buying and selling type of the first forecast price order is purchasing;
and the time priority rule is used for matching the first forecast price entrusted order according to the sequence of the generation time of the second forecast price entrusted order.
6. The financial transaction match matching method of claim 1, wherein the matching step comprises:
within the preset matching time, if the first adjusting unit price is equal to the second adjusting unit price, the matching is successful, and the first transaction order and the priced entrusted order are generated according to the quantity of the commodities;
and if the preset matching time is overtime, generating the priced order according to the first unit price or the first adjusting unit price of the first forecast price order.
7. The financial transaction match matching method of claim 6, wherein the method of generating the first committed order and the priced committed order according to the quantity of the good comprises:
Obtaining a first commodity quantity of a seller and a second commodity quantity of a buyer according to the first forecast price entrusting order and the second forecast price entrusting order;
if the first commodity quantity is less than or equal to the second commodity quantity, generating the first transaction order according to the first commodity quantity; if the first commodity quantity is larger than the second commodity quantity, generating the first transaction order according to the second commodity quantity;
and generating the corresponding priced entrusted order according to the difference value of the first commodity quantity and the second commodity quantity.
8. The financial transaction match matching method of claim 6, further comprising:
and updating market information in real time according to the first transaction order and the second transaction order and the classification of the commodities.
9. A financial transaction matching system using the method of any one of claims 1 to 8, comprising:
the client module is used for receiving a pre-quotation entrusting request and comprises: the method comprises the following steps of (1) acquiring a purchase type, commodity information, commodity quantity and a first unit price;
the entrusting order generation module is used for generating a first forecast price entrusting order according to the forecast price entrusting request;
The first matching module is used for matching a second forecast price order according to the commodity information based on a preset matching rule, wherein the buying and selling type of the first forecast price order is opposite to the buying and selling type of the second forecast order;
the matching module is used for generating a first transaction order and a priced order according to a first adjusting unit price of the first forecast price entrusted order and a second adjusting unit price of the second forecast price entrusted order within preset matching time;
the second matching module is used for matching the priced entrusted orders in the priced pool based on the preset matching rule to generate second committed orders;
the memory data module is used for storing and managing the first forecast price entrusting order, the second quote entrusting order and the priced entrusting order based on a memory database;
and the database management module is used for managing the first transaction order and the second transaction order.
10. The financial transaction matching system of claim 9, further comprising:
and the market processing module is used for updating market information in real time according to the commodity classification according to the generation of the first transaction order and the second transaction order.
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