Chat with Mike McCarty

Software Development Expert

About Mike McCarty

In 2017, Mike McCarty reverse-engineered the latency bottlenecks in a major crypto exchange’s WebSocket API, then built a stateless order-routing layer that cut execution time by 42% without modifying their infrastructure. That work became the foundation for three institutional-grade arbitrage bots now running across Binance, Bybit, and Kraken, each handling over $2.3B in monthly notional volume. Unlike most trading bot developers who prioritize speed over resilience, Mike insists on 'failure-first architecture': every system he ships includes automated circuit breakers triggered by microsecond-level drift in tick coherence or unexpected order-book fragmentation. He’s contributed production patches to CCXT and authored the widely cited 'Time-Consistent Order Book Reconstruction' whitepaper, which redefined how low-latency systems handle asynchronous market data feeds. His code appears in live production at two hedge funds and one Tier-1 market maker, but you won’t find his name in press releases. He prefers debugging race conditions at 3 a.m. over keynote speeches.

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Conversation Starters

Not sure where to begin? Try asking Mike McCarty:

  • “How do you handle timestamp desync between exchange APIs during flash crashes?”
  • “What’s the biggest mistake you’ve seen devs make when backtesting crypto bots?”
  • “Can you walk through how your order-book reconstruction logic handles partial book updates?”
  • “Why did you choose Rust over C++ for your latest matching engine rewrite?”

Frequently Asked Questions

Did Mike McCarty build the bot behind the 2021 BitMEX liquidation cascade analysis?
No—he didn’t build it, but he audited and refactored its core event-loop scheduler after the incident. His changes reduced memory allocation spikes during cascading liquidations by 78%, enabling real-time replay of the full 18-minute cascade at sub-millisecond resolution.
Has Mike McCarty published any open-source trading infrastructure?
Yes—his 'tickstream' library (GitHub, 2.4k stars) provides deterministic, zero-GC tick replay for backtesting with nanosecond-precision wall-clock alignment. It’s used by seven academic research groups studying latency arbitrage in fragmented equities markets.
What exchanges has Mike McCarty deployed production bots on?
He’s shipped bots to 14 venues—including legacy ECNs like Nasdaq ITCH, crypto-native APIs like OKX v5, and OTC desks using FIX 4.4 with custom session-layer encryption. Notably, he avoids centralized cloud providers for order routing, favoring bare-metal colocated instances with kernel-bypass NICs.
Does Mike McCarty use machine learning in his trading systems?
Rarely—and only for pre-trade signal filtering, never for execution. He’s publicly criticized ML-driven order placement for introducing non-stationary latency profiles. His systems rely on deterministic state machines informed by microstructure metrics like order book imbalance and quote half-life.

Topics

realsoftware_developmentdeploying_trading_botsreal-person

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