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Due to the large changes in the trading environment, the current stock exchanges generate much more information traffic than in the past. However, brokers have not kept up with the evaluation methods of investor credit or early warning. For example, the KYC information of the customer is incomplete and too many manual operations can not immediately monitor the warning, which leads to continuous news of customer transaction default. This paper considers the changes in the current market trading environment, and has made a new update design for the current brokerage transaction default warning indicators, which is expected to help reduce brokerage transaction default events. The index design is divided into five facets, which are 1. customer basic information 2. customer credit 3. customer transaction face 4. customer account face 5. target stock, according to the five facets designed corresponding scoring mode . Finally, several new case analysis models are used to analyze several cases, and the analysis results can improve the early warning effect. However, the number of cases currently tested is still too small, and further testing of a large amount of data is still needed.
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