This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Multi-Broker Automated Trading Platform with Algorithmic Execution

effectivesoft.com

Financial services

Information technology

Business services

Challenges in Automated Trading Execution

Need for a robust automated trading system to execute Forex market orders across multiple brokers using proprietary algorithms, while maintaining emotional discipline, ensuring historical backtesting capabilities, and achieving high-performance execution with minimal latency.

About the Client

Privately held trading software company specializing in technical analysis, algorithmic trading strategies, and financial market solutions for brokers, hedge funds, and institutional investors

Key Project Goals

Develop a scalable client-server trading platform with broker-agnostic capabilities
Implement proprietary trading algorithms with backtesting functionality
Enable automated order execution across multiple trading accounts
Ensure low-latency market data processing and trade execution
Support future integration with additional brokers

Core System Requirements

Multi-broker order execution support (Interactive Brokers, Global Prime)
Proprietary algorithm implementation framework
Historical data backtesting environment
Real-time market data visualization (candlestick, OHLC, line charts)
Manual/automated trading mode toggle
Customizable trading rules engine
Order history tracking and management

Technology Stack

.NET Framework

C++

ASP.NET

WPF

SciChart

Microsoft Azure

SQL Server

SignalR

System Integrations

Interactive Brokers API
Global Prime trading interface
Real-time market data feeds
Broker account management systems

Performance Requirements

High-frequency trading capabilities with sub-millisecond latency
Azure cloud scalability for peak trading loads
99.99% system uptime SLA
End-to-end encryption for trading data
Real-time performance monitoring dashboard

Business Impact

Enables 24/7 algorithmic trading across multiple accounts without human intervention, reduces emotional trading errors by 100%, improves strategy testing accuracy through historical backtesting, and provides competitive advantage through proprietary algorithm deployment. Scalable architecture reduces broker integration time by 40% for future expansions.