An analysis method of a financial securities product value model based on artificial intelligence, which is configured to predict a purchasing strategy of a customer while the customer purchases a plurality of financial securities products, and the analysis method of the financial securities product value model based on artificial intelligence comprising:
- performing a determining step, wherein the determining step comprises configuring a processor to determine that the customer is one of a long-term investing customer and a short-term investing customer;
- performing a data acquiring step, wherein the data acquiring step comprises configuring a web crawler program of the processor to acquire one of a plurality of long-term trading parameters and a short-term trading data of each of the financial securities products from a cloud server via an Internet Protocol (IP) address according to the one of the long-term investing customer and the short-term investing customer, the long-term trading parameters and the short-term trading data are corresponding to the long-term investing customer and the short-term investing customer, respectively;
- performing an analyzing step, wherein the analyzing step comprises performing one of a long-term strategy analyzing step and a short-term strategy analyzing step according to the one of the long-term investing customer and the short-term investing customer;
- wherein the long-term strategy analyzing step is performed to configure the processor to divide the financial securities products into a plurality of groups, and calculate a plurality of classify conditions corresponding to the groups and an importance value of each of the long-term trading parameters;
- and
- wherein the short-term strategy analyzing step is performed to configure the processor to analyze a product relevance and a purchasing sequence of the financial securities products;
- performing a strategy generating step, wherein the strategy generating step comprises configuring the processor to generate the purchasing strategy according to the groups, the classify conditions, the importance value of each of the long-term trading parameters, the product relevance and the purchasing sequence;
- performing an automatic dialing step, wherein the automatic dialing step comprises configuring a dynamic dialing device to acquire the IP address to signally connect the processor to the cloud server;
- and
- performing a dial monitoring step, wherein the dial monitoring step comprises configuring a dial monitoring module of the processor to monitor whether the dynamic dialing device dials and signally connects to the cloud server or not, wherein in response to determining that the dynamic dialing device does not dial and signally connect to the cloud server, the dial monitoring module configures the dynamic dialing device to acquire another IP address to signally connect to the cloud server;
- wherein the dynamic dialing device is configured to dial via the another IP address when the dynamic dialing device fails to dial by the IP address;
- wherein in response to determining that the customer is determined as the long-term investing customer, the processor is configured to perform the long-term strategy analyzing step;
- wherein in response to determining that the customer is determined as the short-term investing customer, the processor is configured to perform the short-term strategy analyzing step.