The client’s trading platform currently faces difficulties due to poorly written source code and complex API integrations with multiple brokers, each with unique API specifications. These issues hinder seamless functionality, reduce reliability, and compromise user experience. Additionally, ensuring consistent performance and stability across diverse broker integrations is a significant challenge, impacting customer satisfaction and operational efficiency.
A mid-sized fintech company focused on delivering AI-powered trading solutions to institutional and retail investors, offering a SaaS platform accessible via mobile, desktop, and API integrations.
The project aims to significantly improve platform stability and reliability, ensuring 100% performance during operational hours. By streamlining broker integrations and enhancing code quality, the client anticipates increased user satisfaction, reduced technical issues, and greater operational scalability. These improvements are projected to support continued growth, maintain high market capitalization, and sustain revenue streams in excess of $327K annually.