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Development of a Fault-Tolerant Remote Algorithmic Trading Platform
  1. case
  2. Development of a Fault-Tolerant Remote Algorithmic Trading Platform

Development of a Fault-Tolerant Remote Algorithmic Trading Platform

gloriumtech.com
Financial services
Business services
Media

Identified Challenges in High-Frequency Trading Infrastructure

The client faces difficulties in maintaining reliable and low-latency trading infrastructure, which is critical for high-frequency trading success. Manual hardware management and infrastructure updates divert resources from core algorithm development, risking latency issues and unreliable trade execution amidst rising demand for real-time risk management and performance monitoring.

About the Client

A technology-driven financial firm specializing in algorithmic trading solutions and remote trade execution infrastructure for high-frequency trading clients.

Strategic Goals for the New Trading Platform Deployment

  • Implement a high-performance, fault-tolerant remote trading infrastructure that ensures reliable, low-latency order execution.
  • Develop an API-driven platform enabling seamless integration with multiple brokerage and exchange APIs.
  • Enable hosting and management of customer-submitted trading algorithms with manual override capabilities.
  • Reduce client hardware and infrastructure maintenance responsibilities, allowing focus on algorithm development.
  • Incorporate real-time risk assessment and profit & loss monitoring to enhance risk management and profitability.
  • Deliver scalable, secure, and user-friendly web and mobile interfaces for trade management and analysis.

Core Functional Requirements for the Remote Trading Platform

  • Quote delivery and order execution API accessible to client trading algorithms.
  • Plugin hosting environment allowing clients to deploy and manage algorithmic trading strategies.
  • High-performance, low-latency architecture with fault-tolerance for reliable trade execution.
  • User account management with customizable subscription tiers and resource restrictions.
  • Connectivity modules supporting multiple brokerage and ECN APIs.
  • Web and mobile (Android, iOS) user interfaces for algorithm control, trade management, and real-time monitoring.
  • Extensive reporting and analytics dashboards for completed trades and historical performance.
  • Real-time risk and P&L calculation modules to facilitate proactive risk management.

Preferred Technical Stack and Architectural Approaches

.NET ASP.NET for backend services
C++ for high-performance core components
Relational database systems like MySQL for data storage
Mobile development platforms for Android and iOS applications
Web technologies to develop user dashboards and controls

External Systems and API Integrations Needed

  • Major brokerage platforms for trade execution and quote data
  • Financial data providers for market information
  • User authentication and authorization services
  • Reporting and analytics tools

Key Non-Functional System Requirements

  • System latency optimized for high-frequency trading, aiming for sub-millisecond response times.
  • Fault-tolerant architecture with minimal downtime and robust failover capabilities.
  • Secure data transmission and storage, complying with financial industry standards.
  • Scalable infrastructure supporting increasing client loads and data volume.
  • User-friendly interfaces with responsive design for web and mobile platforms.

Projected Business Benefits and Performance Outcomes

The implementation of this fault-tolerant remote trading platform is expected to significantly improve trade execution reliability and speed, reducing latency and downtime. Clients will be able to focus on algorithm development, resulting in faster innovation cycles. Real-time risk and P&L monitoring will enable proactive risk management, potentially increasing profitability and reducing losses. Scalability and security enhancements will support growth and compliance, positioning the provider as a leader in high-frequency trading infrastructure.

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