Trading Platforms (Zerodha / Robinhood): Real-Time Market Tickers at Scale
Process millions of market ticks: Stock exchange binary feeds, LMAX Disruptor lock-free ring buffers, WebSocket binary broadcast fleets, and sub-millisecond order routing.
01.1. The Market Open Traffic Surge: Millions of Ticks per Second
At 9:15 AM (or 9:30 AM in New York), financial stock markets experience an explosive traffic surge. Millions of day traders, algorithmic bots, and retail investors open their trading apps simultaneously.
The engineering constraints of real-time financial trading platforms (such as Zerodha Kite or Robinhood) are extreme:
- Massive Inbound Data Ingestion: Stock exchanges (NSE, NASDAQ, NYSE, CME) broadcast live market depth updates over UDP Multicast binary feeds, emitting over 5,000,000 price ticks per second.
- Zero Database Disk Logging for Live Ticks: Writing 5 million ticks/sec directly to relational or NoSQL databases would instantly destroy SSD disk write endurance and saturate I/O channels. Live market ticks must be processed entirely in-memory.
- Single-Digit Millisecond Fan-Out: Price updates must reach millions of active mobile and web screens with sub-millisecond latency. A 500ms delay in displaying market depth can cause substantial slippage and financial losses for day traders.
High-Frequency Stock Market Tick Broadcast & Disruptor Architecture 📈
High-Frequency Stock Market Tick Broadcast & Disruptor Architecture 📈
Decoupled binary tick parsing using the LMAX Disruptor lock-free ring buffer and packed binary WebSocket fan-out.
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