From Hundsun, Kingstar to HuRui: The Evolution of China’s Securities Core Trading Systems

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Introduction

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China’s securities industry has experienced one of the fastest transformations in financial technology history.

In less than three decades, brokerage trading platforms evolved from:

Manual order processing
↓
Centralized securities host systems
↓
Client-server trading platforms
↓
Internet brokerage platforms
↓
Distributed core trading engines
↓
Cloud-native and intelligent trading infrastructure

Behind this transformation are several generations of financial technology companies:

• Hundsun Technologies (恒生电子)
• Kingstar (金证股份)
• HuRui Technology (华锐技术)

These vendors represent different stages of China’s securities IT evolution.

Although their products differ, their historical missions are highly similar:

Build the digital infrastructure that allows millions of investors, thousands of institutions, and exchanges to trade securely every second.

1. The Birth of China’s Securities IT Industry

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1.1 The Era Before Core Trading Platforms

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Before electronic securities systems became mainstream, securities trading relied heavily on:

• Manual order entry
• Local brokerage terminals
• Department-level systems
• Batch settlement processes

The major challenges were:

• Low processing capacity
• Poor scalability
• High operational risk
• Limited market expansion capability

The rapid growth of China’s capital markets after the 1990s created a fundamental problem:

How can a brokerage support millions of investors simultaneously?

The answer was centralized electronic trading systems.

2. First Generation: Centralized Securities Core Systems

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2.1 The Mainframe Architecture Era

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During the 1990s, securities firms adopted centralized architectures similar to banking systems.

The typical architecture:

     Investor Terminal

            |
            |

     Front Office System

            |
            |

Securities Core Trading Host

            |
            |

  Settlement / Clearing System

Characteristics:

• Centralized database
• Large-scale transaction processing
• Strong consistency requirements
• Proprietary middleware

The core system handled:

• Account management
• Order processing
• Matching interfaces
• Fund management
• Clearing
• Risk control

3. Hundsun and the Rise of Securities Core Platforms

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3.1 Hundsun’s Historical Role

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Founded in 1995, Hundsun became one of China’s most influential financial software companies.

Its securities business focused on:

• Brokerage trading systems
• Asset management platforms
• Investment banking systems
• Wealth management infrastructure

Hundsun’s success came from understanding one key principle:

Securities systems are not ordinary enterprise applications. They are transaction processing engines.

3.2 Hundsun AS/AR Architecture

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During the centralized trading era, Hundsun developed platforms such as:

• AS
• AR

These systems became widely adopted by securities companies.

Typical architecture:

         Client Layer

             |

      Trading Gateway

             |

     AS / AR Middleware

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  Core Transaction Engine

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      Database Cluster

The middleware layer handled:

• Message routing
• Transaction control
• Session management
• Order distribution
• System integration

The design philosophy:

Reliability first, performance second.

For securities firms, a system failure could mean:

• Trading interruption
• Regulatory issues
• Massive financial loss

Therefore stability was the primary goal.

4. Kingstar and the Rise of Another Securities Technology Giant

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4.1 Kingstar’s Position

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Kingstar (金证股份) emerged during the same period as another major securities IT provider.

Its core products included:

• Brokerage trading systems
• Financial middleware
• Capital market platforms
• Distributed transaction systems

Kingstar developed its own ecosystem around:

• KCXP
• KCBP

4.2 KCBP / KCXP Architecture

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The design philosophy was similar to Hundsun:

Application Services

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Message Bus / Middleware

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Transaction Processing Platform

|

Database Services

KCXP focused on:

• High-performance communication
• Service decoupling
• Transaction forwarding

KCBP focused more on:

• Business processing
• Core transaction services
• Brokerage workflows

4.3 Hundsun AS/AR vs Kingstar KCBP/KCXP

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Although different vendors designed them independently, both solved similar problems.

The difference was mainly architectural philosophy.

Hundsun emphasized:

Business platform + ecosystem

Kingstar emphasized:

Middleware performance + transaction engine

5. The Internet Brokerage Revolution

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5.1 The Mobile Trading Explosion

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After 2010, securities trading changed dramatically.

New requirements appeared:

• Millions of mobile users
• Real-time market data
• Internet traffic peaks
• API-based services

The old centralized architecture faced challenges:

• Limited horizontal scalability
• Large release cycles
• Tight coupling

A new generation of architecture emerged.

6. Second Evolution: Distributed Trading Architecture

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6.1 From Host Systems to Service Platforms

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The architecture evolved:

Before:

Large Core Host

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Database

|

Clients

After:

      API Gateway

            |

Distributed Service Layer

            |

---

|        |          |          |

Account Trading Risk   Asset

Service Service Service Service

            |

     Data Platform

Key technologies:

• Distributed computing
• Service-oriented architecture
• Message queues
• Load balancing
• Containerization

7. The Rise of Low-Latency Trading

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7.1 Institutional Trading Changed Everything

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The rise of:

• Quantitative trading
• Algorithmic trading
• High-frequency trading

created new requirements.

Traditional systems optimized for:

Thousands of users

needed to evolve toward:

Millions of transactions per second

7.2 New Trading Infrastructure

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Modern securities systems introduced:

Memory Computing

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Instead of:

Database → Calculation → Response

Modern systems moved toward:

Memory → Calculation → Async Persistence

FPGA Acceleration

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For ultra-low latency:

Market Data

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FPGA Processing

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Trading Decision

|

Order Gateway

FPGA advantages:

• Deterministic latency
• Parallel processing
• Hardware acceleration

8. HuRui and the New Generation Trading Architecture

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8.1 From Core System Vendor to Trading Infrastructure Provider

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HuRui represents a newer generation of financial technology companies.

The focus shifted from traditional brokerage systems toward:

• Distributed trading platforms
• Low latency infrastructure
• Quantitative trading support
• Cloud-native financial systems

8.2 Modern Securities Core Architecture

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A modern architecture looks like:

         Trading Clients

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        API Gateway

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Trading Engine

Risk Engine

Order Management

Market Data Engine

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      Distributed Database

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     Data Lake / AI Platform

Characteristics:

• Horizontal scaling
• Microservices
• Real-time risk
• Cloud deployment
• AI integration

9. The Technology Evolution Timeline

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10. The Future: Intelligent Securities Infrastructure

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The next generation of securities systems will combine:

AI Trading Assistance

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Large models will support:

• Research
• Risk analysis
• Compliance monitoring
• Customer services

Real-Time Risk Intelligence

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Future risk engines will analyze:

• Market behavior
• Portfolio exposure
• Liquidity risk
• Systemic risk

in real time.

Hardware-Software Co-design

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The future trading stack:

     AI Model Layer

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  Distributed Compute

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FPGA / Accelerator Layer

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  Ultra Low Latency Engine

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      Exchange

Conclusion

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The evolution from Hundsun, Kingstar to HuRui is not simply a competition between software vendors.

It represents the transformation of China’s securities market itself.

The technology journey can be summarized as:

Automation
↓
Centralization
↓
Middleware
↓
Distribution
↓
Low Latency
↓
Intelligence

Hundsun and Kingstar built the foundation of China’s electronic securities infrastructure.

The new generation represented by companies like HuRui is pushing the industry toward:

• distributed trading
• intelligent risk control
• quantitative execution
• ultra-low latency infrastructure

The future securities system will no longer be just a trading platform.

It will become:

A real-time financial operating system combining software, hardware, data, and artificial intelligence.