Quantum Dashboard
Real-time financial analytics platform with sub-second data visualization for institutional traders.
The Problem
- 01Real-time data streaming from 15+ exchanges
- 02Sub-100ms chart rendering with complex calculations
- 03Ensuring data consistency during market volatility
Our Approach
- Built custom WebSocket aggregation layer with failover
- Implemented GPU-accelerated chart rendering
- Developed event sourcing architecture for data integrity
#Quantum Dashboard
A high-frequency trading dashboard that aggregates data from multiple exchanges and provides institutional traders with actionable insights. Features include customizable charts, alert systems, and portfolio analytics.
##The Challenge
Our client, a leading financial services firm, needed a unified platform to monitor trades across 15+ exchanges in real-time. Their existing tools were fragmented, slow, and unable to keep pace with market volatility.
##Our Approach
###Phase 1: Data Infrastructure
We built a custom WebSocket aggregation layer that normalizes data from multiple exchange APIs into a unified stream:
- Multi-exchange adapters: Normalized feed from 15+ exchanges
- Failover system: Automatic reconnection with zero data loss
- Event sourcing: Complete audit trail for every data point
###Phase 2: Visualization Engine
We developed a high-performance charting engine using D3.js with GPU acceleration:
- Custom WebGL-powered candlestick charts
- Real-time order book visualization
- Portfolio heat maps with instant updates
###Phase 3: Alert System
Built an intelligent alert system that monitors market conditions and notifies traders:
- Configurable threshold alerts
- Pattern recognition for technical analysis
- Multi-channel delivery (in-app, SMS, email)
##Results
- 50K+ active institutional users
- 99.99% platform uptime
- 1M+ trades processed daily
- <100ms chart rendering latency
##Technical Highlights
- Next.js with server-side rendering for initial load performance
- Custom WebSocket protocol for efficient data transfer
- Redis-based caching for frequently accessed market data
- PostgreSQL with TimescaleDB extension for time-series data
Need a real-time analytics dashboard? Contact us.