A high-performance dashboard demonstrating advanced data structures, algorithms, and real-time data processing.
Starting development soon!
This project showcases:
- Advanced data structures and algorithms (DS&A)
- Real-time WebSocket architecture
- Time-series data optimization
- Performance engineering
- System design for high-throughput applications
Frontend:
- Next.js 14
- TypeScript
- Recharts / D3.js for visualizations
- WebSocket client
Backend:
- Python 3.11+ / FastAPI
- PostgreSQL (time-series optimization)
- Redis (pub/sub for real-time)
- WebSocket server
Algorithms Demonstrated:
- Graph algorithms (shortest path for trade routing)
- Priority queues / Heaps (order book management)
- Dynamic programming (portfolio optimization)
- Sliding window (moving averages)
- Binary search trees (price level tracking)
Data Structures:
- Custom order book implementation
- LRU cache for API responses
- Trie for symbol search
- Segment trees for range queries
Complexity Analysis: All implementations include documented time/space complexity with benchmarks.
- Real-time price updates via WebSocket
- Interactive candlestick charts
- Order book visualization
- Portfolio analytics with DP optimization
- Symbol search with autocomplete (Trie)
- Performance metrics dashboard
Scalability Focus:
- Handles 1000+ WebSocket connections
- Processes 10k+ events per second
- Sub-100ms latency for price updates
- Horizontal scaling strategy documented
- WebSocket latency: < 50ms p95
- API response time: < 100ms p95
- Database query optimization: [benchmarks coming]
- Cache hit rate: Target 80%+
[Installation instructions coming soon]
- Master DS&A in production context
- Understand performance optimization
- Design systems for high throughput
- Real-time data processing patterns
Built as part of my software engineering portfolio | View Other Projects