This invention discloses a
digital currency prepayment management method and
system. The method includes the following steps: S1, acquiring multi-dimensional real-
time data in a
digital currency prepayment
scenario, and preprocessing the data by cleaning, normalizing, and format
standardization; S2, inputting the preprocessed multi-dimensional data into a trained
machine learning risk prediction model, and using the model to extract features and calculate risk probabilities; S3, determining the
risk level based on the risk probabilities, and generating early warning prompts or automatically triggering corresponding control measures according to preset risk response rules. This invention relates to the field of
digital currency prepayment management technology. This digital currency prepayment management method and
system, through comprehensive collection and cleaning of multi-dimensional real-
time data, combined with risk prediction using a
machine learning model, can efficiently and accurately identify potential risks, avoiding the misjudgments and omissions that may occur in traditional early warning mechanisms based on simple rules, and improving the accuracy of risk prediction.