How We Built a Sub-Millisecond Crypto Feed in C++

Most crypto market data APIs give you top-of-book prices with 100ms+ latency. We wanted full L2 order books from 21 exchanges, all normalized into a single WebSocket stream, at sub-millisecond speed. So we built it. This post covers the core engineering decisions behind Microverse Systems — a free, real-time order book API that aggregates depth-of-market data across major crypto exchanges. The Problem If you're building a trading bot, an arbitrage scanner, or even a simple price dashboard, you hit the same wall: every exchange has its own WebSocket protocol, its own message format, its own rate limits. Binance sends JSON. Bybit sends JSON but structures it differently. Some exchanges batch updates, others stream individual changes. Normalizing all of this in Python or Node means you're spending more time parsing messages than actually using the data. And if latency matters to your strategy, the language overhead alone puts you at a disadvantage. Why C++ We went with C++ for the core fe