WEB APP / FINTECH

Quantum Dashboard

Real-time financial analytics platform with sub-second data visualization for institutional traders.

50K+
users
99.99%
uptime
1M/day
trades
2025
Year
8 months
Duration
Technologies:Next.jsWebSocketD3.jsPostgreSQLRedis
[CHALLENGES]

The Problem

  • 01Real-time data streaming from 15+ exchanges
  • 02Sub-100ms chart rendering with complex calculations
  • 03Ensuring data consistency during market volatility
[SOLUTIONS]

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.

Ready to build something similar?

Start a Project