Design of Cloud Collective Financial Robot Based on Artificial Intelligence Technology

In this paper, we design a cloud-integrated financial robot based on artificial intelligence technology to provide advanced financial analysis and decision support for financial institutions. The robot platform is embedded with a large amount of financial domain knowledge and data, which can provide uninterrupted financial services to customers using a dialog engine. At the same time, it is equipped with the attention mechanism – long and short-term memory neural network model, in investment transactions and credit risk prediction, which can bring a new digital intelligence experience for financial institutions. The standard and similar sentence recognition accuracy of the article robot dialog engine can be stabilized at more than 90%, and the average access time of the user’s access request is about 0.15s. The importance distribution of financial credit risk indicator features is 5~24, and when the number of features takes the value of 10, the risk prediction accuracy of the robot in this article is the highest, 97.98%. When the prediction model is trained to 50~70 epochs, the Loss value of the financial robot converges to 0.15~0.17. The accuracy of the model chosen in this paper for risk prediction as well as stock prediction is 95.35 and 96.2% respectively. And the absolute difference between the predicted stock price and the true value of the model in this paper is 0~0.28 yuan. Combined with DMI strategy for stock trading, the return is 30.7%. The financial robot improves the user experience and increases the value of risk control as well as stock prediction for financial institutions.