TradeFlow Pro
High-frequency market data visualizer built with TypeScript and Canvas API. Handles 10,000+ data points per second with sub-millisecond rendering latency.
FinTech / TypeScript
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Core Technology Stack
Our proprietary rendering engine is built on a modular architecture that separates data ingestion from visual presentation. This decoupling allows us to push 60fps updates to candlestick charts without impacting main thread performance or draining battery life on mobile devices.
Performance Metrics
- Rendering: ~2ms per frame (10k points)
- Memory: <50MB heap for full market depth
- Latency: Sub-100ms end-to-end (NY4 to LD4)
- Battery: <3% drain per hour (iOS Safari)
Development
Full-stack engineering with focus on real-time data pipelines. Languages: TypeScript, Rust, Go. Frameworks: Next.js, SvelteKit. Database: PostgreSQL, TimescaleDB.
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10,000+
Downloads
Cumulative across all public releases
4.8
Avg Rating
Based on verified user reviews
15+
APIs Integrated
Real-time data sources
Corpoat.com Field Guide: Financial Visualisation
Building professional-grade trading interfaces requires more than just charting libraries. It demands a deep understanding of data integrity, visual perception, and hardware limitations. This guide distills our experience into actionable criteria for evaluating visualization technologies.
Decision Criteria
- Rendering Latency Below 16ms is mandatory for 60fps. Anything higher causes "ghosting" on fast-moving assets. Test with `requestAnimationFrame` delta calculations.
- Memory Footprint Browser memory leaks will crash long-running sessions. We enforce strict garbage collection cycles every 5 minutes for historical data buffers.
- Data Integrity WebSockets can drop packets. Our engine buffers incoming ticks and reconciles gaps using timestamp comparison before visual rendering.
Myth vs. Reality
MYTH: "SVG is always faster than Canvas."
REALITY: SVG DOM overhead kills performance at >1,000 nodes. Canvas is superior for data density, SVG for static UI overlays.
MYTH: "More cores = faster charts."
REALITY: JavaScript is single-threaded. Web Workers help, but data transfer costs often negate gains. Optimize the main thread first.
GLOSSARY
- Tick:
- Single data point update
- Candle:
- OHLC aggregated point
- WebSocket:
- Full-duplex communication channel
Common Mistakes to Avoid
- Using `setInterval` instead of `requestAnimationFrame` for visual updates.
- Storing full tick history in memory instead of aggregating to candles.
- Relying on CSS transitions for price updates (causes jank on low-end devices).
- Ignoring pixel density (DPI) on mobile renderers.
How We Ship: The Corpoat Workflow
1
Scope & Constraints
We audit your data sources, latency budget, and user device distribution to define the technical envelope.
2
Architecture
Selecting the render layer (Canvas vs SVG) and data transport (REST vs WS) based on Step 1.
3
Prototype
Rapid MVP build with synthetic data to validate frame rates and interaction logic.
4
Production
Integration with real feeds, stress testing, and deployment via CI/CD pipelines.
Get In Touch
Address
Piccadilly Circus 298
Sheffield, United Kingdom
Hours
Mon-Fri: 9:00-18:00 GMT
Direct
+44 7297109316
info@corpoat.com