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Cloud-Based Algorithmic Trading Platform Development

gloriumtech.com

Financial services

Challenges in Algorithmic Trading Infrastructure

Trading firms face significant operational burdens maintaining hardware and infrastructure for algorithmic trading. Existing solutions lack reliable fault tolerance, low-latency execution, and centralized connectivity to multiple brokerage platforms, limiting traders' ability to focus on algorithm optimization and risk management.

About the Client

A technology firm specializing in financial infrastructure solutions, seeking to develop a remote hosting platform for trading algorithms.

Project Goals for Algorithmic Trading Platform Development

Create a fault-tolerant cloud platform for remote hosting of trading algorithms
Enable seamless integration with multiple brokerage APIs and financial data providers
Provide real-time risk management tools and manual override capabilities
Reduce infrastructure maintenance costs for traders while improving execution performance

Core Functionalities and Key Features

Quote delivery and order execution API for algorithm integration
Secure plugin hosting environment for customer algorithms
User subscription tiers with resource usage controls
Connectivity to major brokerage platforms and market data feeds
Order lifecycle management system
Cross-platform UI (web/mobile) for execution control
Real-time risk assessment and profit/loss calculations
Comprehensive trade reporting and analytics dashboard

Technology Stack Requirements

.NET

C++

ASP.NET

Java

iOS

Android

MySQL

External System Integrations

Brokerage platform APIs (e.g., Interactive Brokers, TD Ameritrade)
Market data providers (e.g., Bloomberg, Reuters)
Payment gateways for subscription management
Cloud infrastructure (AWS/Azure) for deployment

Performance and Security Requirements

Sub-millisecond latency order execution
99.99% system uptime with redundant architecture
End-to-end encryption for data security
Scalable infrastructure to handle concurrent trading algorithms
Real-time monitoring and alerting systems

Expected Business Impact

The platform will enable traders to focus on algorithm development while reducing infrastructure costs by 60-70%. Enhanced execution speed and reliability will improve trading performance in high-frequency environments, while real-time risk management tools will reduce potential losses by enabling proactive position adjustments. Subscription-based revenue models will create recurring income streams for the service provider.