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A real-time trading data platform for a prop trading company with 40+ day traders: live price feeds, dynamic columns and complex calculations in one place.
Fintech · Prop tradingReal-time data for data-driven traders.
Boiler Capital is a prop trading company that specializes in day trading, working with more than 40 traders. They wanted to create a platform that would allow them to manage their stocks and layouts in real-time, and provide accurate and up-to-date data on their stocks.
The platform would be used by the client's traders and administrators, who needed to be able to access and analyze data quickly and make decisions based on that data. The client's trading strategies were heavily data-driven and required real-time access to data from multiple sources, as well as the ability to perform complex calculations.
Boiler Capital · Stocks view Portfolio value Live layout Live AAPL 192.44 +0.82% NVDA 118.07 +2.14% TSLA 241.30 −1.06% Illustrative interfaceLarge data volumes and complex calculations, in real time.
The main challenge for this project was creating a platform that could handle large amounts of data and perform complex calculations in real-time. Boiler Capital has plans to develop the platform further and sell it as a service to traders all around the world.
01High-performance technologies and architectures
02Data from multiple sources integrated into a single platform
03Adding and editing columns dynamically
04Integration with external data sources for real-time price feeds
05Flexible and adaptable to the client's changing needs
Design, build, infrastructure and support.
Generic Soft was responsible for designing and building the trading data platform, including setting up the infrastructure and deployment, software architecture, and implementing all necessary features. We worked closely with the client to understand their requirements and design a solution that met their needs.
Server instances, relational database service and virtual private cloud for effective network security
GIT, Jira, CI/CD pipeline with GitHub Actions, development environment and DNS routing
CRUD operations for admins and users, stocks, and layouts
Integration with external data sources for real-time price feed
Back-end architecture, database schema and DB setup
All necessary formulas and calculations for the stocks view
Testing, deployment, ongoing support and maintenance
