苍穹极速量化交易系统架构图 architecture diagram

About This Architecture

Cangyuan Ultra-Speed quantitative trading system employs a layered architecture separating presentation, core trading logic, and exchange gateway integration. The presentation layer provides GUI, risk control dashboards, strategy monitoring, and parameter management interfaces connected to the trading core engine. The core layer orchestrates market data processing, strategy decision-making, risk control enforcement, order management, and machine learning model management through unified abstraction. The gateway layer abstracts multiple exchange connections—CTP, Yisheng, Shengli, and Yida—via standardized ITradeGateway and IMarketGateway interfaces, enabling seamless multi-venue trading. This three-tier design isolates business logic from exchange-specific protocols, reducing coupling and accelerating deployment across Chinese commodity and financial futures markets. Fork this diagram on Diagrams.so to customize components, add new exchanges, or integrate proprietary risk modules.

People also ask

How should I architect a quantitative trading system to support multiple exchanges and risk controls?

The Cangyuan Ultra-Speed system uses a three-tier layered architecture: presentation layer (GUI, dashboards, monitoring), core layer (trading engine, strategy decision, risk control, OMS, ML models), and gateway layer (unified ITradeGateway/IMarketGateway interfaces abstracting CTP, Yisheng, Shengli, Yida). This separation enables independent scaling, simplified exchange integration, and centraliz

苍穹极速量化交易系统架构图

Autoadvancedquantitative-tradingsystem-architecturefintechtrading-enginerisk-managementmulti-exchange
Domain: Software ArchitectureAudience: quantitative trading system architects and fintech engineers
0 views0 favoritesPublic

Created by

March 4, 2026

Updated

April 10, 2026 at 7:14 PM

Type

architecture

Need a custom architecture diagram?

Describe your architecture in plain English and get a production-ready Draw.io diagram in seconds. Works for AWS, Azure, GCP, Kubernetes, and more.

Generate with AI

AI-generated. Verify before production use. Learn more

Report this diagram