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.
Publication Details
- Journal
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Published
- 2025-04-16
- DOI
- https://doi.org/10.61091/jcmcc127b-451
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00