Method and system for automatically associating spot market price with spot contract

Abstract

The embodiment of the invention provides a spot market price and spot contract automatic association method and system, and belongs to the technical field of data processing. The method comprises the following steps: collecting a target spot contract, and executing information structuring processing on the target spot contract to obtain contract structuring information; obtaining spot market price information of corresponding goods based on goods information in the contract structured information, and executing information structured processing on the spot market price information to obtain market structured information; respectively extracting corresponding label templates based on the contract structured information and the market structured information, and executing corresponding label template information filling based on the contract structured information and the market structured information to respectively obtain a contract label and a market price label; and based on the contract label and the market price label, executing association between the spot market price and the spot contract, and outputting an association result. According to the scheme, automatic association of the spot market price and the spot contract is realized.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method for automatically associating a spot market price with a spot contract and a system for automatically associating a spot market price with a spot contract. Background Art

[0002] In modern commodity trading, especially in hedging business systems, it is crucial to calculate the profit and loss of a contract reasonably and accurately. The calculation of profit and loss depends not only on the terms of the contract itself, but also on the current spot market price. However, spot contracts involve a wide variety of products, and due to factors such as region, brand, and delivery time, the market price of the same product in different situations may vary significantly. This complexity makes it cumbersome and error-prone to manually associate spot contracts with market prices.

[0003] Traditional hedging business systems usually match contracts with market prices manually, which not only consumes a lot of human resources but also increases the risk of errors. Especially in a rapidly changing market environment, it is particularly important to obtain and update spot market price information in real time. Delayed or erroneous information may lead to wrong decisions, thus affecting the company's economic interests. Therefore, there is an urgent need for an effective technical means to automatically and accurately realize the connection between contract information and spot market prices. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for automatically associating spot market prices with spot contracts, so as to at least solve the problem of poor automatic performance when the existing spot market prices are associated with spot contracts.

[0005] In order to achieve the above-mentioned purpose, the first aspect of the present invention provides a method for automatically associating spot market prices with spot contracts, the method comprising: collecting target spot contracts, and performing information structuring processing on the target spot contracts to obtain contract structured information; obtaining spot market price information of corresponding commodities based on commodity information in the contract structured information, and performing information structuring processing on the spot market price information to obtain market structured information; extracting corresponding label templates based on the contract structured information and the market structured information, respectively, and performing corresponding label template information filling based on the contract structured information and the market structured information to obtain contract labels and market price labels, respectively; performing association between spot market prices and spot contracts based on the contract labels and the market price labels, and outputting the association results.

[0006] Optionally, the performing information structuring processing on the target spot contract to obtain contract structured information includes: identifying text information of each preset indicator in the target spot contract based on natural language processing technology; classifying the identified text information according to the corresponding preset indicators to obtain information sets corresponding to each preset indicator; performing structured processing on the information sets of each preset indicator to obtain corresponding structured information.

[0007] Optionally, the preset indicators include any one or more of: category of goods, contract price of goods, region of goods, brand of goods, delivery time of goods and total demand for goods.

[0008] Optionally, spot market price information of corresponding goods is obtained based on the contract structured information, and information structuring processing is performed on the spot market price information to obtain market structured information, including: determining the category of goods based on the contract structured information, and collecting spot market price information of corresponding goods based on the area of ​​the goods in the contract structured information; performing information structuring processing on the collected spot market price information to obtain market structured information.

[0009] Optionally, a contract label template is extracted based on the contract structured information, and the contract label template information is filled based on the contract structured information to obtain a contract label; after obtaining the contract label, the method also includes: pushing the contract label to the user end for the user to confirm the contract label.

[0010] Optionally, the pushing of the contract tag to the user end for the user to confirm the contract tag includes: collecting the user's operation instruction information and determining the type of the operation instruction information; if the operation instruction information is confirmation information, using the contract tag filled based on the contract structured information as the generated contract tag; if the operation instruction is modification information, collecting the user's modification content information, modifying the contract tag filled based on the contract structured information based on the modification content information, and using the modified contract tag as the generated contract tag.

[0011] Optionally, the spot market price is associated with the spot contract based on the contract tag and the market price tag, and the association result is output, including: performing association matching of each data item based on the contract tag and the market price tag, and obtaining multiple sets of corresponding relationships between the contract tag and the market price tag; wherein the multiple sets of corresponding relationships include: the contract price of the goods-the market price of the delivery time of the goods; the area of ​​the goods in the contract tag-the area of ​​the goods in the market price tag; the brand of the goods in the contract tag-the brand of the goods in the market price tag; performing a profit and loss analysis of the spot contract based on each corresponding relationship, and using the analysis result as the association result.

[0012] Optionally, the profit and loss analysis of the spot contract is performed based on each corresponding relationship, and the analysis result is used as the association result, including: when the area of ​​the goods in the contract tag is the same as the area of ​​the goods in the market price tag, and the brand of the goods in the contract tag is the same as the brand of the goods in the market price tag, the contract unit price of the goods is determined based on the contract price of the goods, and the market unit price of the goods is determined based on the market price of the delivery time of the goods; the unit profit / loss of the corresponding goods is determined based on the contract unit price and the market unit price; the total profit / loss of the spot contract is determined based on the unit profit / loss of the goods and the total demand for the goods as the analysis result.

[0013] The second aspect of the present invention provides a system for automatically associating spot market prices with spot contracts, the system comprising: a collection unit, used to collect target spot contracts, and perform information structuring processing on the target spot contracts to obtain contract structured information; a structuring unit, used to obtain the spot market price information of the corresponding goods based on the goods information in the contract structured information, and perform information structuring processing on the spot market price information to obtain market structured information; a label generation unit, used to extract corresponding label templates based on the contract structured information and the market structured information, respectively, and perform corresponding label template information filling based on the contract structured information and the market structured information to obtain contract labels and market price labels, respectively; an association unit, used to associate the spot market price with the spot contract based on the contract label and the market price label, and output the association result.

[0014] On the other hand, the present invention provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, enables the computer to execute the above-mentioned method for automatically associating the spot market price with the spot contract.

[0015] Through the above technical scheme, the scheme of the present invention realizes the automatic association between contract information and spot market prices through the structured processing of spot contracts and market price information. First, by structuring the execution information of the target spot contract, detailed contract structured information is obtained, which provides a basis for subsequent market price acquisition. Then, based on the commodity information in the contract structured information, the corresponding spot market price information is obtained and structured to generate market structured information. This process ensures the integrity and accuracy of the information. Subsequently, by extracting and filling contract tags and market price tags, the matching ability between data is further enhanced. Finally, through the tag-based association method, the spot market price and the spot contract are accurately connected, which not only improves the data processing efficiency, but also significantly reduces the error risk of manual operation. This technical effect simplifies the logic of contract profit and loss calculation, improves the efficiency of spot business management, and meets the urgent need for real-time data association in a rapidly changing market environment.

[0016] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0018] Figure 1 It is a flowchart of the steps of a method for automatically associating a spot market price with a spot contract provided by one embodiment of the present invention;

[0019] Figure 2 It is a system structure diagram of a spot market price and spot contract automatic association system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0020] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0021] Figure 1 1 is a method flow chart of a method for automatically associating spot market prices with spot contracts provided by one embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for automatically associating a spot market price with a spot contract, the method comprising:

[0022] Step S10: Collect the target spot contract, and perform information structuring processing on the target spot contract to obtain contract structured information.

[0023] Specifically, the information structuring processing is performed on the target spot contract to obtain the contract structured information, including: identifying the text information of each preset indicator in the target spot contract based on natural language processing technology; classifying the identified text information according to the corresponding preset indicators to obtain the information set corresponding to each preset indicator; performing structured processing on the information set of each preset indicator to obtain the corresponding structured information.

[0024] Furthermore, the preset indicators include any one or more of: category of goods, contract price of goods, region of goods, brand of goods, delivery time of goods and total demand for goods.

[0025] In the embodiment of the present invention, the collection of the target spot contract is the first step of the whole process. A large number of contract texts can be collected through various means, such as electronic document import, scanning and recognition. These contract texts usually contain rich business information, but due to their diverse formats and scattered information, it is difficult to directly extract effective information. To this end, natural language processing (NLP) technology is used to perform intelligent analysis on the contract text, which can effectively identify the key information therein.

[0026] In the specific implementation, NLP technology is used to identify various preset indicator text information in the contract. For example, it can accurately identify information such as the category of goods, contract price, region, brand, delivery time, and total demand. The key to this step is how to accurately understand the semantics in the contract text and convert it into actionable data. In this process, the NLP model will be trained to improve the recognition ability of industry terms and contract terms, thereby ensuring the accuracy and completeness of the extracted information.

[0027] Furthermore, the identified text information is then classified into the corresponding preset indicator information set. For example, all information about "goods category" will be integrated into one set, while the relevant information about "contract price" will form another set. Through this classification, the extracted data can be clearly organized and managed, thus laying a good foundation for subsequent structured processing. The accuracy of classification greatly affects the quality of the final structured information obtained, so the design and implementation of this link is particularly important. The preset indicators include multiple key elements, such as the category of goods, contract price, region, brand, delivery time and total demand. This information is not only crucial in the contract performance process, but also plays an important role in price fluctuations, inventory management and supply chain optimization. Through the structured processing of this information, enterprises can obtain dynamic information about contracts in real time to provide support for decision-making.

[0028] Based on the solution of the present invention, through the structured processing of the target spot contract execution information, enterprises can effectively improve the efficiency of contract management and reduce the risk of manual intervention and human error. The effects produced by this technical solution include: first, the automation of information extraction greatly reduces labor costs and improves work efficiency; second, structured information provides a reliable basis for data analysis and decision-making, and supports real-time business adjustments and market responses; finally, the classification and organization of information makes subsequent retrieval and management more convenient, creating conditions for enterprises to maintain their advantages in the fierce market competition. Overall, this technical solution has brought innovative improvements to spot contract management and promoted the efficient operation of modern transactions.

[0029] Step S20: based on the commodity information in the contract structured information, the spot market price information of the corresponding commodity is obtained, and the spot market price information is subjected to information structuring processing to obtain market structured information.

[0030] Specifically, the spot market price information of the corresponding goods is obtained based on the contract structured information, and the spot market price information is subjected to information structuring processing to obtain the market structured information, including: determining the category of the goods based on the contract structured information, and collecting the spot market price information of the corresponding goods based on the area of ​​the goods in the contract structured information; and performing information structuring processing on the collected spot market price information to obtain the market structured information.

[0031] In an embodiment of the present invention, by analyzing the structured information of the contract, the specific category of the goods can be clarified. This is because different categories may have significant differences in pricing mechanisms and fluctuation trends in the spot market. After determining the category of the goods, market price information is further collected based on the regional information contained in the contract. For example, factors such as market demand, supply chain conditions, and logistics costs for a certain commodity in different regions will affect its market price. Therefore, by accurately obtaining market price information that matches the region of the goods in the contract, enterprises can better understand the performance of the goods in different markets.

[0032] Furthermore, after obtaining spot market price information, the next step is to structure this information. The process of information structuring includes converting the original market price data into a format that can be easily stored and queried, such as a database table. This process not only makes the data more standardized and easier to manage, but also lays the foundation for subsequent data analysis. Through structured processing, market price information can be organically combined with contract information to support real-time updates and dynamic queries. This structured market information can be quickly retrieved and analyzed, helping decision makers respond to market changes in a timely manner.

[0033] Based on the solution of the present invention, enterprises have achieved automation and efficiency in obtaining spot market prices. First, structured information processing reduces the complexity of manual operations and reduces the risk of errors caused by human factors. Second, the acquisition of real-time market price information and the association with contract information increase the sensitivity of enterprises to market dynamics, enabling them to make adjustments quickly. For example, in the case of large price fluctuations, enterprises can immediately evaluate the profit and loss status of their contracts, optimize procurement and sales strategies, and better cope with market risks. In addition, structured market information also provides a reliable data basis for the company's analysis and forecasting, enabling it to formulate long-term strategies more accurately.

[0034] Step S30: extract corresponding label templates based on the contract structured information and the market structured information respectively, and perform corresponding label template information filling based on the contract structured information and the market structured information to obtain a contract label and a market price label respectively.

[0035] Specifically, a contract label template is extracted based on market structured information, and market price label template information is filled based on the market structured information to obtain a market price label; a contract label template is extracted based on contract structured information, and contract label template information is filled based on contract structured information to obtain a contract label; after obtaining the contract label, the method also includes: pushing the contract label to the user end for the user to confirm the contract label.

[0036] Furthermore, the pushing of the contract tag to the user end for the user to confirm the contract tag includes: collecting the user's operation instruction information and determining the type of the operation instruction information; if the operation instruction information is confirmation information, using the contract tag filled based on the contract structured information as the generated contract tag; if the operation instruction is modification information, collecting the user's modification content information, modifying the contract tag filled based on the contract structured information based on the modification content information, and using the modified contract tag as the generated contract tag.

[0037] In the embodiment of the present invention, the process of extracting label templates is an important part of information management. Through in-depth analysis of contract structured information and market structured information, label templates suitable for various types of information can be identified. For example, the label template in the market structured information may include fields such as variety, region, brand, time and price, which are suitable for dynamic updates of current market prices; while the label template in the contract structured information focuses on the basic attributes of the contract, such as the variety, region, brand and delivery time of the goods. This clear template design makes information management more organized and convenient for subsequent filling and application.

[0038] Furthermore, once the label template is determined, it can be filled based on structured information. Taking the market price label as an example, the following label can be generated based on the structured market price information: {variety: "copper", region: "Shanghai", brand: "A1", time: "2024-10", price: 50000}. Similarly, through the contract structured information, the corresponding contract label can also be generated, such as {variety: "copper", region: "Shanghai", brand: "A1", time: "2024-10"}. This information structure filled by template not only improves the accuracy of the data, but also makes the information processing process more efficient.

[0039] Furthermore, after obtaining the contract label, the contract label is pushed to the user end for the user to confirm. The importance of this link lies in ensuring the accuracy and availability of information. Users can confirm or modify the generated contract label according to their actual situation. By collecting the user's operation instruction information, the user's needs can be judged. For example, if the user confirms the information, the contract label filled based on the contract structured information will be used as the final generated contract label; if the user chooses to modify, the modified content will be collected and the contract label will be updated accordingly. This feedback mechanism not only improves the user's sense of participation, but also ensures the authenticity and accuracy of the information. Through real-time user interaction, enterprises can adjust contract information in a timely manner to better adapt to market changes. This flexible adjustment capability is crucial for modern enterprises, because market conditions and customer needs often change, and timely feedback and adjustments can effectively reduce potential risks.

[0040] Based on the scheme of the present invention, the extraction and filling of label templates greatly improves the ability of enterprises in contract management and market analysis. First of all, the standardized label processing process reduces the necessity of manual intervention and reduces the incidence of human errors. This automated processing method improves work efficiency, allowing enterprises to complete the processing of contracts and market information in a shorter time. Label generation based on structured information makes data storage and query more efficient. Through standardized label formats, enterprises can quickly access required information to support decision-making and business analysis. Real-time generation and update of market price labels provide an important basis for enterprises to adjust their market strategies, enabling them to better grasp market trends. The introduction of user confirmation and feedback mechanisms ensures the accuracy of information. Through effective user interaction, enterprises can ensure that the generated contract labels reflect real business needs. This process not only improves the reliability of data, but also enhances user experience, making contract management more flexible and efficient.

[0041] Step S40: associate the spot market price with the spot contract based on the contract tag and the market price tag, and output the association result.

[0042] Specifically, association matching of each data item is performed based on the contract tag and the market price tag to obtain multiple sets of corresponding relationships between the contract tag and the market price tag; wherein the multiple sets of corresponding relationships include: the contract price of the goods-the market price of the goods at the delivery time; the area of ​​the goods in the contract tag-the area of ​​the goods in the market price tag; the brand of the goods in the contract tag-the brand of the goods in the market price tag; based on each corresponding relationship, a spot contract profit and loss analysis is performed, and the analysis result is used as the association result.

[0043] Furthermore, the profit and loss analysis of the spot contract is performed based on each corresponding relationship, and the analysis result is used as the association result, including: when the area of ​​the goods in the contract tag is the same as the area of ​​the goods in the market price tag, and the brand of the goods in the contract tag is the same as the brand of the goods in the market price tag, the contract unit price of the goods is determined based on the contract price of the goods, and the market unit price of the goods is determined based on the market price of the delivery time; the unit profit / loss of the corresponding goods is determined based on the contract unit price and the market unit price; the total profit / loss of the spot contract is determined based on the unit profit / loss of the goods and the total demand for the goods as the analysis result.

[0044] In the embodiment of the present invention, by analyzing the contract label and the market price label, relevant matching data items can be extracted from multiple dimensions. For example, the following multiple sets of corresponding relationships can be established: the contract price of the goods and the market price of the goods at the delivery time, the area of ​​the goods in the contract label and the area of ​​the goods in the market price label, and the brand of the goods in the contract label and the brand of the goods in the market price label, etc. Such matching relationships help to fully understand the relationship between the contract terms and market conditions, thereby laying the foundation for subsequent profit and loss analysis.

[0045] Furthermore, after determining the corresponding relationships, the profit and loss analysis of the spot contract can be further performed. This analysis process first checks the consistency of the relevant fields in the contract tag and the market price tag. For example, when the area of ​​the goods in the contract tag is the same as the area of ​​the goods in the market price tag, and the brand of the goods in the contract tag is also the same as the brand of the goods in the market price tag, the profit and loss will be calculated based on the contract price and the market price.

[0046] Specifically, the contract price of the goods is determined as the contract unit price of the goods, and the market price based on the delivery time of the goods is determined as the market unit price of the goods. By comparing the two, the unit profit and loss of the corresponding goods can be calculated. If the contract price is higher than the market price, it means there is a loss; conversely, if the market price is higher than the contract price, it means possible profit.

[0047] For example, if Contract A stipulates that copper is purchased at a price of 52,000 yuan / ton, and the market price is 50,000 yuan / ton, this means that the loss per ton of copper is 2,000 yuan. Further analysis shows that if the total demand involved in Contract A is 100 tons, the total loss is 200,000 yuan. This calculation result provides an important basis for the company's financial decision-making, helping the company to evaluate the feasibility and profit potential of spot contracts.

[0048] Based on the solution of the present invention, through the association matching and profit and loss analysis based on contract tags and market price tags, the technical solution achieves many significant effects, which are specifically reflected in the following aspects:

[0049] 1) Improved information transparency: Through the digital matching process, enterprises can clearly understand the relationship between contract terms and actual market prices. This transparency not only helps internal decision-making, but also enhances trust with customers and suppliers.

[0050] 2) Decision support: Accurate profit and loss analysis provides management with a clear basis for decision-making. Enterprises can quickly identify which contracts may result in losses, so as to adjust procurement strategies or negotiate prices with customers in a timely manner to avoid potential economic losses.

[0051] 3) Faster response: Automated correlation and analysis processes have greatly increased the speed of data processing. Enterprises can update market price information in real time and respond quickly to market changes, thereby maintaining a competitive advantage.

[0052] 4) Enhanced risk management capabilities: Through profit and loss analysis of spot contracts, companies can better assess risks. Management can formulate more effective risk control strategies to ensure stable operations amid market fluctuations.

[0053] 5) Optimize contract management: By effectively linking contracts with market prices, companies can make more reasonable price estimates in future contract negotiations. This can not only improve the profitability of contracts, but also optimize supply chain management to a certain extent and reduce inventory backlog risks.

[0054] Figure 2 1 is a system structure diagram of a system for automatically associating spot market prices with spot contracts provided by one embodiment of the present invention. Figure 2 As shown, an embodiment of the present invention provides a system for automatically associating spot market prices with spot contracts, and the system includes: a collection unit, used to collect target spot contracts, and perform information structuring processing on the target spot contracts to obtain contract structured information; a structuring unit, used to obtain spot market price information of corresponding commodities based on commodity information in the contract structured information, and perform information structuring processing on the spot market price information to obtain market structured information; a label generation unit, used to extract corresponding label templates based on the contract structured information and the market structured information, and perform corresponding label template information filling based on the contract structured information and the market structured information to obtain contract labels and market price labels, respectively; an association unit, used to associate the spot market price with the spot contract based on the contract label and the market price label, and output the association result.

[0055] The embodiment of the present invention further provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned method for automatically associating the spot market price with the spot contract.

[0056] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0057] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0058] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for automatically associating spot market prices with spot contracts, characterized in that: The method comprises: Collecting target spot contracts, and performing information structuring processing on the target spot contracts to obtain contract structured information; Based on the commodity information in the contract structured information, the spot market price information of the corresponding commodity is obtained, and the spot market price information is subjected to information structuring processing to obtain market structured information; Extract corresponding label templates based on the contract structured information and the market structured information respectively, and fill in the corresponding label template information based on the contract structured information and the market structured information to obtain the contract label and the market price label respectively; The spot market price is associated with the spot contract based on the contract tag and the market price tag, and the association result is output.

2. The method according to claim 1, characterized in that The performing information structuring processing on the target spot contract to obtain contract structured information includes: Identify text information of each preset indicator in the target spot contract based on natural language processing technology; Classify the recognized text information according to the corresponding preset indicators to obtain information sets corresponding to each preset indicator; Structural processing is performed on the information set of each preset indicator to obtain corresponding structured information.

3. The method according to claim 2, characterized in that The preset indicators include: Any one or more of the category of goods, the contract price of goods, the region of goods, the brand of goods, the delivery time of goods and the total demand for goods.

4. The method according to claim 1, characterized in that: Based on the contract structured information, the spot market price information of the corresponding commodity is obtained, and the spot market price information is subjected to information structuring to obtain market structured information, including: Determine the category of the goods based on the contract structured information, and collect the spot market price information of the corresponding goods based on the region of the goods in the contract structured information; The spot market price information is collected and information structuring is performed to obtain market structured information.

5. The method according to claim 1, characterized in that Extracting a contract label template based on the contract structured information, and performing contract label template information filling based on the contract structured information to obtain a contract label; After obtaining the contract tag, the method further includes: The contract label is pushed to the user side for the user to confirm the contract label.

6. The method according to claim 5, characterized in that The step of pushing the contract label to the user terminal for the user to confirm the contract label includes: Recovering the user's operation instruction information and determining the type of the operation instruction information; If the operation instruction information is confirmation information, the contract tag filled based on the contract structured information is used as the generated contract tag; If the operation instruction is modification information, the modification content information of the user is recovered, and the contract label filled based on the contract structured information is modified based on the modification content information, and the modified contract label is used as the generated contract label.

7. The method according to claim 1, characterized in that The spot market price is associated with the spot contract based on the contract tag and the market price tag, and an association result is output, including: Based on the contract tag and the market price tag, the data items are associated and matched to obtain multiple sets of corresponding relationships between the contract tag and the market price tag; wherein, Multiple groups of correspondence include: The contract price of the goods - the market price of the goods at the time of delivery; The area of ​​the goods in the contract label - the area of ​​the goods in the market price label; Brand number of the goods in the contract label - Brand number of the goods in the market price label; Perform spot contract profit and loss analysis based on each corresponding relationship, and use the analysis results as the correlation results.

8. The method according to claim 7, characterized in that The performing of the profit and loss analysis of the spot contract based on each corresponding relationship and taking the analysis result as the correlation result includes: When the area of ​​the goods in the contract label is the same as the area of ​​the goods in the market price label, and the brand of the goods in the contract label is the same as the brand of the goods in the market price label, the contract unit price of the goods shall be determined based on the contract price of the goods, and the market unit price of the goods shall be determined based on the market price at the time of delivery of the goods; Determine the unit profit / loss of the corresponding goods based on the contract unit price and the market unit price; The total profit / loss of the spot contract is determined based on the unit profit / loss of the commodity and the total demand for the commodity as the analysis result.

9. A system for automatically associating spot market prices with spot contracts, characterized in that: The system comprises: A collection unit, used for collecting target spot contracts, and performing information structuring processing on the target spot contracts to obtain contract structured information; A structuring unit, used to obtain spot market price information of corresponding commodities based on commodity information in the contract structured information, and perform information structuring processing on the spot market price information to obtain market structured information; A label generation unit, used to extract corresponding label templates based on the contract structured information and the market structured information, and fill in the corresponding label template information based on the contract structured information and the market structured information to obtain a contract label and a market price label respectively; An association unit is used to associate the spot market price with the spot contract based on the contract tag and the market price tag, and output an association result.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method for automatically associating the spot market price with the spot contract as described in any one of claims 1 to 8.

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