Multi-variety bulk commodity transaction platform system

Abstract

The invention relates to a multi-variety bulk commodity transaction platform system. The system is used for acquiring transaction attributes of a current transaction; the transaction attributes comprise identifiers of two transaction parties, transaction objects, transaction quantity and transaction amount; determining an integrity detection transaction according to the transaction attribute; carrying out integrity detection on the integrity detection transaction; if the integrity detection result meets the integrity rule, it is confirmed that the current transaction is concluded, otherwise, it is confirmed that the current transaction has risks, and early warning is carried out. The system can perform integrity detection according to the transaction attribute of the current transaction, confirms that the current transaction is concluded only when the integrity detection result meets the integrity rule, otherwise confirms that the current transaction has a risk, and performs early warning, thereby achieving the control of the credit of the two transaction parties, performing the transaction based on the credit of the two transaction parties, and improving the transaction efficiency. The transaction risk is reduced, and the credibility of a multi-variety bulk commodity transaction platform is also improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a multi-variety bulk commodity trading platform system. Background Art

[0002] With the rapid development of the Internet, the trading mode of goods has gradually shifted from offline trading to online trading, which has made multi-variety commodity trading platforms a common trading vehicle for online transactions. The multi-variety commodity trading platform system is the key to ensuring the smooth progress of transactions.

[0003] The existing multi-variety commodity trading platform system can satisfy the transaction parties to complete the transaction online, such as: confirming the transaction object, transaction quantity, transaction amount, etc. However, the existing multi-variety commodity trading platform system is difficult to control the credit of the transaction parties, which brings great risks to the interests of the honest party in the transaction and greatly reduces the credibility of the multi-variety commodity trading platform. It can be seen that how the multi-variety commodity trading platform system can reduce transaction risks is particularly important. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the above problems, the present invention provides a multi-variety commodity trading platform system.

[0006] (II) Technical solution

[0007] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0008] A multi-variety commodity trading platform system, the system is used for:

[0009] Get the transaction attributes of the current transaction; transaction attributes include the transaction party identification, transaction object, transaction quantity, and transaction amount;

[0010] Determine the integrity test transaction based on the transaction attributes;

[0011] Conduct integrity checks on integrity test transactions;

[0012] If the integrity check result meets the integrity rules, the current transaction is confirmed to be completed. Otherwise, it is confirmed that the current transaction has risks and an early warning is issued.

[0013] Optionally, the integrity check transaction is determined based on transaction attributes, including:

[0014] Determine a candidate transaction according to the transaction party identifiers of the current transaction and the transaction object of the current transaction;

[0015] Determine the feature vector of the transaction object in each candidate transaction; the feature vector includes: category, amount range, price trend, transportation tool, and transaction form; wherein the transaction form is spot transaction or futures transaction;

[0016] Based on the feature vector, the candidate transaction related to the transaction object is determined as the integrity detection transaction.

[0017] Optionally, determining the candidate transaction according to the transaction party identifiers of the current transaction and the transaction object of the current transaction includes:

[0018] According to the identifiers of the two parties of the current transaction, determine the historical transactions of the two parties;

[0019] For either party to the transaction, determine the transaction characteristic value Where i is the identifier of the trading party, is the time characteristic value of trading party i, is the behavioral characteristic value of transaction party i;

[0020] Determine the transaction vector of each historical transaction, wherein the transaction vector includes: transaction time, transaction object, transaction amount, and transaction characteristic value of the other party to the transaction;

[0021] According to the transaction vector, a complementary transaction is determined in all historical transactions between non-transaction parties;

[0022] The current transaction, historical transactions, and supplementary transactions are determined as candidate transactions.

[0023] Optionally,

[0024] in, is the total number of historical transactions of trading party i, is the length of time spanned by all historical transactions of trading party i.

[0025] Optionally,

[0026] in, is the number of different transaction objects involved in historical transactions of transaction party i, is the average transaction amount of historical transactions of trading party i, is the maximum amount of a single transaction in the historical transactions of trading party i, is the minimum amount of a single transaction in the historical transactions of trading party i, The transaction amount in the historical transactions of transaction party i is The number of times, The transaction amount in the historical transactions of transaction party i is The number of times.

[0027] Optionally, the amount range of the transaction object in any candidate transaction is

[0028] Where j is the candidate transaction identifier, is the average transaction amount of all transactions of the transaction object in candidate transaction i, is the standard deviation of the transaction amount of all transactions of the transaction object in candidate transaction i.

[0029] Optionally, the price trend of the transaction object in any candidate transaction is stable, or rising.

[0030] or, descend;

[0031] Among them, for any candidate transaction i, the price trend determination process is:

[0032] Sort all transactions of the transaction objects in the candidate transaction i by transaction time from recent to oldest to form a first set;

[0033] Determine the transaction amount difference of each non-last element in the first set; wherein the transaction amount difference of any element is the transaction amount of any element minus the transaction amount of the element following any element;

[0034] The sign of the transaction amount difference of the first element is used as the base sign, and starting from the first element, the largest number of consecutive elements whose sign of the transaction amount difference is the base sign are obtained to form a second set;

[0035] Determine the market price trend of the transaction object in the candidate transaction i;

[0036] According to the market price trend and the second set, the price trend of the transaction object in the candidate transaction i is determined.

[0037] Optionally, determining the price trend of the transaction object in the candidate transaction i according to the market price trend and the second set includes:

[0038] Determine the ratio of the standard deviation to the mean of each element in the second set;

[0039] If the market price trend is stable, the market sign is determined to be 0; if the market price trend is rising, the market sign is determined to be positive; if the market price trend is falling, the market sign is determined to be negative;

[0040] If the market symbol is different from the base symbol, then when the market symbol is not 0, the price trend of the transaction object in the candidate transaction i is determined to be the market price trend; when the market symbol is 0, the price trend of the transaction object in the candidate transaction i is determined to be the trend corresponding to the base symbol; wherein, if the base symbol is positive, the corresponding trend is rising; and if the base symbol is negative, the corresponding trend is falling;

[0041] If the market symbol is the same as the benchmark symbol, when the ratio is less than the preset ratio threshold, the price trend of the transaction object in the candidate transaction i is determined to be stable; when the ratio is not less than the preset ratio threshold, the price trend of the transaction object in the candidate transaction i is determined to be the market price trend.

[0042] Optionally, integrity check is performed on the integrity check transaction, including:

[0043] Determine the number of unsuccessful transactions n in the integrity check transaction u ;

[0044] Determine the integrity test value Among them, n A is the total number of integrity detection transactions, m0 is the transaction amount of the current transaction, and m avg is the average transaction amount of all successful transactions between the two parties, and s is the abnormal weight determined according to the number of transactions in the current transaction.

[0045] Optionally,

[0046] Among them, sv0 is the transaction quantity of the current transaction; sv1 is the estimated safety increment of sales of the transaction object of the current transaction; if the transaction form of the transaction object of the current transaction is futures trading, then st is the maximum transaction threshold of the seller of the current transaction; if the transaction form of the transaction object of the current transaction is spot trading, then st is the seller's inventory of the current transaction.

[0047] (III) Beneficial effects

[0048] The present invention relates to a multi-variety commodity trading platform system, which is used to: obtain the transaction attributes of the current transaction; the transaction attributes include the identification of both parties to the transaction, the transaction object, the transaction quantity, and the transaction amount; determine the integrity detection transaction according to the transaction attributes; perform integrity detection on the integrity detection transaction; if the integrity detection result meets the integrity rule, then confirm that the current transaction is completed, otherwise, confirm that the current transaction has risks, and issue an early warning. The system of the present invention can perform integrity detection according to the transaction attributes of the current transaction, and only when the integrity detection result meets the integrity rule, then confirm that the current transaction is completed, otherwise, confirm that the current transaction has risks, and issue an early warning, thereby realizing the control of the credit of both parties to the transaction, conducting transactions based on the credit of both parties to the transaction, reducing transaction risks, and also improving the credibility of the multi-variety commodity trading platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the implementation process of a multi-variety commodity trading platform system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0051] The existing multi-variety commodity trading platform system can satisfy the transaction parties to complete the transaction online, such as: confirming the transaction object, transaction quantity, transaction amount, etc. However, the existing multi-variety commodity trading platform system is difficult to control the credit of the transaction parties, which brings great risks to the interests of the honest party in the transaction and greatly reduces the credibility of the multi-variety commodity trading platform. It can be seen that how the multi-variety commodity trading platform system can reduce transaction risks is particularly important.

[0052] To this end, the present invention relates to a multi-variety commodity trading platform system, which is used to: obtain the transaction attributes of the current transaction; the transaction attributes include the identification of the two parties to the transaction, the transaction object, the transaction quantity, and the transaction amount; determine the integrity detection transaction according to the transaction attributes; perform integrity detection on the integrity detection transaction; if the integrity detection result meets the integrity rules, then confirm that the current transaction is reached, otherwise, confirm that the current transaction is at risk, and issue an early warning. The system of the present invention can perform integrity detection according to the transaction attributes of the current transaction, and only when the integrity detection result meets the integrity rules, then confirm that the current transaction is reached, otherwise, confirm that the current transaction is at risk, and issue an early warning, thereby realizing the control of the credit of the two parties to the transaction, conducting transactions based on the credit of the two parties to the transaction, reducing transaction risks, and also improving the credibility of the multi-variety commodity trading platform.

[0053] This embodiment provides a multi-variety commodity trading platform system, see Figure 1 , the system is used to:

[0054] 101. Get the transaction attributes of the current transaction.

[0055] Among them, the transaction attributes include the identification of both parties to the transaction, the transaction object, the transaction quantity, and the transaction amount.

[0056] For example, the current transaction is that A buys x0 items A from B, for a total of y0 yuan. Then the two parties of the transaction are represented by A's ID and B's ID, the transaction object is item A, the transaction quantity is x0, and the transaction amount is y0.

[0057] Among them, A and B can be natural persons or organizations (such as companies, etc.).

[0058] 102. Determine the integrity detection transaction according to the transaction attributes.

[0059] The integrity check transaction is used to determine whether the current transaction is honest. The implementation process of this step is as follows:

[0060] 102-1, determining a candidate transaction according to the transaction party identifiers of the current transaction and the transaction object of the current transaction.

[0061] The process of determining candidate transactions is as follows:

[0062] 102-1-1, according to the identifiers of the two parties to the current transaction, determine the historical transactions of the two parties.

[0063] For example, determine all historical transactions of A and all historical transactions of B.

[0064] 102-1-2, for either party to the transaction, determine the transaction characteristic value

[0065] Where i is the identifier of the trading party, is the time characteristic value of trading party i, is the behavioral characteristic value of transaction party i.

[0066] is the total number of historical transactions of trading party i, is the length of time spanned by all historical transactions of trading party i.

[0067] is the number of different transaction objects involved in historical transactions of transaction party i, is the average transaction amount of historical transactions of trading party i, is the maximum amount of a single transaction in the historical transactions of trading party i, is the minimum amount of a single transaction in the historical transactions of trading party i, The transaction amount in the historical transactions of transaction party i is The number of times, The transaction amount in the historical transactions of transaction party i is The number of times.

[0068] The transaction characteristics of transaction party i are characterized by the number of transactions per unit time of transaction party i. The transaction characteristics of transaction party i are characterized by the number and amount of average transactions of transaction party i.

[0069] 102-1-3, determine the transaction vector of each historical transaction.

[0070] The transaction vector includes: transaction time, transaction object, transaction amount, and transaction characteristic value of the other party.

[0071] For example, A's historical transaction 1 is A's Buy from E Item B, total Yuan. Then the transaction vector of historical transaction 1 includes: (Transaction time), Item B (Transaction object), (transaction amount), transaction characteristic value TH of E 戊 (Transaction characteristic value of the other party to the transaction).

[0072] 102-1-4, based on the transaction vector, determine the supplementary transaction in all historical transactions between non-transaction parties.

[0073] The process of determining supplementary transactions can be:

[0074] 1. Select a transaction vector from the transaction vectors of historical transactions one by one.

[0075] 2. Determine the similarity value between the transaction vectors of the historical transactions of each non-transaction party and the selected transaction vector.

[0076] The similarity value is obtained by using an existing algorithm, such as the Euclidean distance.

[0077] 3. Historical transactions between non-trading parties with similarity values ​​greater than a preset threshold are determined as supplementary transactions.

[0078] A supplementary transaction is a transaction with similar characteristics to each historical transaction.

[0079] 102-2, determine the feature vector of the transaction object in each candidate transaction.

[0080] The feature vector includes: category, amount range, price trend, transportation tool, and transaction form.

[0081] 1. Category

[0082] The category is the major category of the transaction object, which is pre-classified by the commodity trading platform, such as metals, agricultural products, energy, chemicals, property rights, financial derivatives, etc. If the transaction object in a candidate transaction is iron, the category is metal.

[0083] 2. Amount range

[0084] The amount range of the transaction object in any candidate transaction is

[0085] Where j is the candidate transaction identifier, is the average transaction amount of all transactions of the transaction object in candidate transaction i, is the standard deviation of the transaction amount of all transactions of the transaction object in candidate transaction i.

[0086] 3. Price Trend

[0087] The price trend of the transaction object in any candidate transaction is stable, rising, or falling.

[0088] Among them, for any candidate transaction i, the price trend determination process is:

[0089] 1) Sort all transactions of the transaction objects in candidate transaction i by transaction time from recent to earliest to form a first set.

[0090] For example, if the transaction object in candidate transaction i is item B, then all transactions of item B will be sorted from recent to far according to transaction time to form the first set.

[0091] 2) Determine the transaction amount difference of each non-last element in the first set.

[0092] The transaction amount difference of any element is the transaction amount of any element minus the transaction amount of the element following any element.

[0093] If the first set is {transaction 1, transaction 2, transaction 3,…transaction x}, then the transaction amount difference of element 1 (i.e. transaction 1) is the transaction amount of transaction 1 - the transaction amount of transaction 2; the transaction amount difference of element 2 (i.e. transaction 2) is the transaction amount of transaction 2 - the transaction amount of transaction 3;….

[0094] That is, the elements of the first set are transactions.

[0095] 3) Taking the sign of the transaction amount difference of the first element as the base sign, starting from the first element, obtain the largest number of consecutive elements whose sign of the transaction amount difference is the base sign to form a second set.

[0096] For example, the transaction amount difference of element 1 (i.e., transaction 1) is taken as the sign of the transaction amount of transaction 1 minus the transaction amount of transaction 2 as the basic symbol, for example, the symbol is "+", and the signs of the transaction amount differences of each element in the first set are {+, +, -, -, +, +, +, +, -}. The largest consecutive elements are elements 5, 6, 7, and 8 shown in the shaded part, so the second set formed is {transaction amount of transaction 5, transaction amount of transaction 6, transaction amount of transaction 7, transaction amount of transaction 8}.

[0097] That is, the elements of the second set are transaction amounts.

[0098] 4) Determine the market price trend of the transaction object in candidate transaction i.

[0099] The market price trend here is estimated based on the current information (such as news). For example, if there is good news about the trading object in the current news, then its market price trend is determined to be rising. If there is bad news about the trading object in the current news, then its market price trend is determined to be falling. If there is no good or bad news about the trading object in the current news, then its market price trend is determined to be stable.

[0100] The estimation process is implemented using an existing recognition scheme, which will not be described in detail here.

[0101] 5) According to the market price trend and the second set, determine the price trend of the transaction object in the candidate transaction i.

[0102] For example, the price trend determination process is as follows:

[0103] (1) Determine the ratio of the standard deviation to the mean of each element in the second set.

[0104] (2) Determine the market symbol based on the market price trend.

[0105] If the market price trend is stable, the market sign is determined to be 0.

[0106] If the market price trend is upward, the market sign is determined to be positive.

[0107] If the market price trend is down, the market sign is determined to be negative.

[0108] (3) Determine price trends

[0109] If the market symbol is different from the base symbol, then:

[0110] When the market symbol is not 0, the price trend of the transaction object in the candidate transaction i is determined to be the market price trend.

[0111] When the market symbol is 0, the price trend of the transaction object in the candidate transaction i is determined to be the trend corresponding to the base symbol.

[0112] If the reference sign is positive, the corresponding trend is rising. If the reference sign is negative, the corresponding trend is falling.

[0113] If the market symbol is the same as the base symbol, then:

[0114] When ratio is less than a preset ratio threshold, it is determined that the price trend of the transaction object in the candidate transaction i is stable.

[0115] When ratio is not less than a preset ratio threshold, it is determined that the price trend of the transaction object in the candidate transaction i is the market price trend.

[0116] The price trend is determined based on the current market price trend of the transaction object and its historical actual transaction price, so that the price trend is consistent with both the actual price situation of the transaction object and the market's price expectations for the transaction object.

[0117] 4. Means of transportation

[0118] Such as cars, ships, trains, etc.

[0119] 5. Transaction form

[0120] The transaction form is spot trading or futures trading.

[0121] 102-3, based on the feature vector, determine the candidate transaction related to the transaction object as a credit detection transaction.

[0122] For example, the transaction vector of the transaction object of the current transaction is similar to the transaction vector of each candidate transaction, and the candidate transaction with a similarity value greater than a preset threshold is determined as a credit detection transaction.

[0123] The threshold here may be the same as or different from the threshold used in determining the supplementary transaction, and this embodiment does not limit the relationship between the two.

[0124] The integrity detection transaction is all the historical transactions with the closest transaction objects among all the candidate transactions related to the current transaction.

[0125] 103. Conduct integrity checks on integrity test transactions.

[0126] The implementation process of this step is as follows:

[0127] 103-1, determine the number of unsuccessful transactions n in the integrity detection transaction u .

[0128] 103-2, Determine the integrity test value

[0129] Among them, n A is the total number of integrity detection transactions, m0 is the transaction amount of the current transaction, and m avg is the average transaction amount of all successful transactions between the two parties, and s is the abnormal weight determined according to the number of transactions in the current transaction.

[0130] sv0 is the transaction amount of the current transaction. sv1 is the estimated safety increment of sales of the transaction object of the current transaction. If the transaction form of the transaction object of the current transaction is futures trading, then st is the seller's maximum transaction threshold of the current transaction (for example, the seller sets the maximum daily transaction volume, then the transaction volume is the seller's maximum transaction threshold. If the seller has not set it, the preset default value can be used and it can be determined as the default value). If the transaction form of the transaction object of the current transaction is spot trading, then st is the seller's inventory of the current transaction.

[0131] Represents the abnormality of the current transaction from the price dimension. The larger the value, the more abnormal the price of the current transaction.

[0132] The ratio of unsuccessful transactions. The larger the value, the more abnormal the historical transactions are, and the lower the possibility of the current transaction. is a number between 0 and 1, so It is an increasing function, and its value range is (-∞,0]. The closer the value is to 0, the greater the proportion of unsuccessful transactions in history is, and the more abnormal it is. It is a positive value, and the larger the value, the more abnormal it is.

[0133] Based on the above analysis, we can get R m The bigger the more abnormal.

[0134] 104. If the integrity check result meets the integrity rules, the current transaction is confirmed to be completed. Otherwise, it is confirmed that there are risks in the current transaction and an early warning is issued.

[0135] For example, the credit rule is that the credit detection result is less than the credit threshold (the credit threshold is a preset empirical value). Then if the credit detection value R calculated in step 103 is m If the integrity detection value R calculated in step 103 is less than the integrity threshold, it is determined that the integrity detection result meets the integrity rule, and the current transaction is confirmed to be completed. mIf it is not less than the integrity threshold, it is determined that the integrity detection result does not meet the integrity rule. At this time, it is confirmed that the current transaction is risky and an early warning is issued.

[0136] This embodiment provides a multi-variety commodity trading platform system, which is used to: obtain the transaction attributes of the current transaction; the transaction attributes include the identification of the two parties to the transaction, the transaction object, the transaction quantity, and the transaction amount; determine the integrity detection transaction according to the transaction attributes; perform integrity detection on the integrity detection transaction; if the integrity detection result meets the integrity rules, then confirm that the current transaction is completed, otherwise, confirm that the current transaction is risky, and issue an early warning. The system of the present invention can perform integrity detection according to the transaction attributes of the current transaction, and only when the integrity detection result meets the integrity rules, then confirm that the current transaction is completed, otherwise, confirm that the current transaction is risky, and issue an early warning, thereby realizing the control of the credit of the two parties to the transaction, conducting transactions based on the credit of the two parties to the transaction, reducing transaction risks, and also improving the credibility of the multi-variety commodity trading platform.

[0137] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0138] It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.

[0139] Finally, it should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some or all of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-variety commodity trading platform system, characterized in that: The system is used to: Obtaining the transaction attributes of the current transaction; the transaction attributes include the transaction party identification, transaction object, transaction quantity, and transaction amount; Determining a credit check transaction according to the transaction attributes; Conducting integrity testing on the integrity testing transaction; If the integrity check result meets the integrity rules, the current transaction is confirmed to be completed. Otherwise, it is confirmed that the current transaction has risks and an early warning is issued.

2. The system according to claim 1, characterized in that Determining the integrity detection transaction according to the transaction attribute includes: Determine a candidate transaction according to the transaction party identifiers of the current transaction and the transaction object of the current transaction; Determine the feature vector of the transaction object in each candidate transaction; the feature vector includes: category, amount range, price trend, transportation tool, transaction form; wherein the transaction form is spot transaction or futures transaction; Based on the feature vector, a candidate transaction related to the transaction object is determined as a credit detection transaction.

3. The system according to claim 2, characterized in that The determining of the candidate transaction according to the transaction party identifiers of the current transaction and the transaction object of the current transaction includes: According to the identifiers of the two parties of the current transaction, determine the historical transactions of the two parties; For either party to the transaction, determine the transaction characteristic value Where i is the identifier of the trading party, is the time characteristic value of trading party i, is the behavioral characteristic value of transaction party i; Determine the transaction vector of each historical transaction, wherein the transaction vector includes: transaction time, transaction object, transaction amount, and transaction characteristic value of the other party to the transaction; According to the transaction vector, a supplementary transaction is determined in all historical transactions between non-transaction parties; The current transaction, historical transactions, and supplementary transactions are determined as candidate transactions.

4. The system according to claim 3, characterized in that in, is the total number of historical transactions of trading party i, is the length of time spanned by all historical transactions of trading party i.

5. The system according to claim 3, characterized in that in, is the number of different transaction objects involved in historical transactions of transaction party i, is the average transaction amount of historical transactions of trading party i, is the maximum amount of a single transaction in the historical transactions of trading party i, is the minimum amount of a single transaction in the historical transactions of trading party i, The transaction amount in the historical transactions of transaction party i is The number of times The transaction amount in the historical transactions of transaction party i is The number of times.

6. The system according to claim 2, characterized in that The amount range of the transaction object in any candidate transaction is Where j is the candidate transaction identifier, is the average transaction amount of all transactions of the transaction object in candidate transaction i, is the standard deviation of the transaction amount of all transactions of the transaction object in candidate transaction i.

7. The system according to claim 2, characterized in that The price trend of the transaction object in any candidate transaction is stable, rising, or falling; Among them, for any candidate transaction i, the price trend determination process is: Sort all transactions of the transaction objects in the candidate transaction i by transaction time from recent to oldest to form a first set; Determine the transaction amount difference of each non-last element in the first set; wherein the transaction amount difference of any element is the transaction amount of the any element minus the transaction amount of the element following the any element; The sign of the transaction amount difference of the first element is used as the base sign, and starting from the first element, the largest number of consecutive elements whose sign of the transaction amount difference is the base sign are obtained to form a second set; Determine the market price trend of the transaction object in the candidate transaction i; According to the market price trend and the second set, the price trend of the transaction object in the candidate transaction i is determined.

8. The system according to claim 7, characterized in that The step of determining the price trend of the transaction object in the candidate transaction i according to the market price trend and the second set includes: Determine the ratio of the standard deviation to the mean of each element in the second set; If the market price trend is stable, the market sign is determined to be 0; if the market price trend is rising, the market sign is determined to be positive; if the market price trend is falling, the market sign is determined to be negative; If the market symbol is different from the base symbol, then when the market symbol is not 0, the price trend of the transaction object in the candidate transaction i is determined to be the market price trend; when the market symbol is 0, the price trend of the transaction object in the candidate transaction i is determined to be the trend corresponding to the base symbol; wherein, if the base symbol is positive, the corresponding trend is rising; and if the base symbol is negative, the corresponding trend is falling; If the market symbol is the same as the benchmark symbol, when the ratio is less than the preset ratio threshold, the price trend of the transaction object in the candidate transaction i is determined to be stable; when the ratio is not less than the preset ratio threshold, the price trend of the transaction object in the candidate transaction i is determined to be the market price trend.

9. The system according to claim 1, characterized in that The integrity detection of the integrity detection transaction includes: Determine the number of unsuccessful transactions n in the integrity check transaction u ; Determine the integrity test value Among them, n A is the total number of integrity detection transactions, m0 is the transaction amount of the current transaction, and m avg is the average transaction amount of all successful transactions between the two parties, and s is the abnormal weight determined according to the number of transactions in the current transaction.

10. The system according to claim 9, characterized in that Among them, sv0 is the transaction quantity of the current transaction; sv1 is the estimated safety increment of sales of the transaction object of the current transaction; if the transaction form of the transaction object of the current transaction is futures trading, then s is the maximum transaction threshold of the seller of the current transaction; if the transaction form of the transaction object of the current transaction is spot trading, then s is the seller's inventory of the current transaction.

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