Algorithmic Trading Platform for FinEdge Capital
Built a real-time trading platform processing 10,000+ transactions per second with AI-powered market prediction.
The Challenge
FinEdge needed a low-latency algorithmic trading system that could analyze market sentiment in real-time and execute trades autonomously with automated risk management. Their existing system had 500ms latency — 100x too slow for their HFT strategy.
Our Solution
We architected a microservices trading platform with event-driven order processing, AI-powered sentiment analysis from news and social media, and automated portfolio risk management. The system processes trades in under 5ms end-to-end.
Our Approach
We used an event-sourcing architecture with Kafka for order flow, TimescaleDB for tick data, and a custom ML pipeline for sentiment scoring. Redis handled real-time position management. Load testing was performed to 3x peak capacity before go-live.
We needed a sophisticated trading AI platform. TechVerse delivered it 2 weeks ahead of schedule. The system processes 10,000 transactions per second with 99.99% uptime. Phenomenal team.
Project Details
Technologies Used
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