Super AI intelligent transaction system and method

By constructing a multimodal AI engine, a dynamic strategy library, and a real-time risk control system, the shortcomings of existing automated trading systems in terms of intelligence, adaptability, data utilization, strategy synergy, and trading latency have been addressed, achieving efficient, stable, and compliant financial trading.

CN122115103APending Publication Date: 2026-05-29SHIHUI INFORMATION TECHNOLOGY (SHANDONG) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHIHUI INFORMATION TECHNOLOGY (SHANDONG) CO LTD
Filing Date
2026-02-03
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing automated trading systems are inadequate in terms of intelligence, adaptability, data utilization, strategy coordination, risk control, and transaction latency, making it difficult to meet the efficiency, stability, and compliance requirements of modern financial markets.

Method used

We construct a multimodal AI engine, a dynamic strategy library, a real-time risk control system, and a low-latency execution module to achieve multi-source information fusion, AI autonomous decision-making, dynamic strategy evolution, multi-level real-time risk control, and low-latency execution, while combining interpretability and regulatory compliance.

Benefits of technology

It significantly improves the intelligence, adaptability, and security of the trading system, enhances the system's generalization ability and robustness, and meets the requirements of efficiency, stability, and compliance in the financial market.

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Abstract

The present application relates to the cross technical field of artificial intelligence and financial technology, specifically to a super AI intelligent transaction system and method, comprising a multi-source data fusion engine, a super AI decision hub, a dynamic strategy library, a real-time risk control system, a low-latency execution engine, an explainability and regulatory interface, and a man-machine collaborative interface, the multi-source data fusion engine generates a unified market state representation vector, the super AI decision hub generates a transaction signal and a target position suggestion based on the vector, the dynamic strategy library matches and optimizes the transaction strategy accordingly, the real-time risk control system completes multi-level risk control verification and abnormal fusing, the low-latency execution engine issues compliance instructions to the exchange, and visual display and manual intervention are realized through the man-machine interface. The present application realizes the improvement of transaction performance, the reduction of systematic risk, the enhancement of cross-market, cross-cycle and cross-asset adaptability, the improvement of transaction transparency to meet regulatory requirements, and the reduction of the use threshold of intelligent transaction.
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