Financial product transaction monitoring method and system based on deep learning

The invention discloses a financial product transaction monitoring method and system based on deep learning, and relates to the technical field of financial transaction deep learning. Obtaining current transaction data of the target financial product in a first preset time period, and converting the current transaction data of the one-dimensional time sequence into a current two-dimensional image; obtaining network information related to the target financial product in a first preset time period, and performing semantic recognition on the network information to calculate a current emotion index of the network information; and inputting the current two-dimensional image and the current emotion index into a pre-trained financial transaction deep learning model to output estimation probabilities of various financial operations, generating transaction guidance information, and sending the transaction guidance information to a target user terminal. By converting the transaction data of the one-dimensional time seq