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 524, 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 5070 epochs, the Loss value of the financial robot converges to 0.150.17. 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 00.28 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.