From Zero to 220 Nanoseconds: AI-Generated Ultra–Low-Latency C++ for DXY on CME

oin us for a deep-dive webinar that demystifies AI-generated, ultra–low-latency trading architecture for the US Dollar Index (DXY) on CME—end to end. You’ll see how a cutting-edge large language model produced a minimalist C++17 market-making engine that fits in L1 cache (<128 bytes hot path), compiles to a sub-45 KB static ELF, busy-polls AF_PACKET v3, and achieves 220–750 nanoseconds wire-to-wire with standard Intel X710/E810 NICs—no kernel calls on the hot path, no STL, no malloc/new, no threads, and zero external dependencies. We’ll map the entire journey from concept to first live quote.

What you’ll learn:

Strategy scope: Software-only DXY futures market making, scaling per 10G port and CPU core; how 1 bp per clip at 1 lot translates to ~$980 net after fees, and how 18K clips/day drives monthly P&L.

Hardware blueprint: A practical 16-core Supermicro build around ~$15K, X710 NICs, NVMe, ECC RAM; when to consider FPGA NICs and 25G switches; single-rack 32-port scaling and linear throughput with NIC queues.

Colocation and connectivity: Tier-1 Aurora colo, cross-connects to CME MDF, microwave/hollow-core options, realistic lead times, and what “rack, BIOS flash, compile, deploy” looks like in week-by-week milestones.

Market data and costs: CME MDP 3.0 professional feed tiers, top-of-book vs. DOM add-ons, compliance taps, and why one clause can move you from $600/mo to $6,000/mo.

Legal and compliance essentials: LLC setup, FCM onboarding (e.g., Phillip Capital), regulatory affidavits, clock sync policies (PTP/NMS), Rule 15c3-5 kill switch documentation, CFTC 1.83 algo accountability, code retention, and the must-have written procedures to actually get paid.

Capital structure: Operating wallet vs. trading margin; example budgets from lean ~$45K–$70K pilots to ~$155K full setups; how exchange minimums and treasury pledges affect day-1 wiring.

Revenue math and scale-up path: Per-port unit economics, 10G-per-core instances, and an illustrative path from single-port pilots to 32-port racks; where fees, rebates, leakage, and headcount land in real-world EBIT.

Who should attend:

Quant developers, low-latency engineers, and FPGA/NIC specialists

Prop traders, HFT leads, CTOs, and founders evaluating CME/Aurora deployments

Compliance, operations, and market data professionals

Important: Educational purposes only. No financial advice. Trading futures and deploying HFT infrastructure involve significant risk and regulatory obligations.

Reserve your seat to see how an AI-generated L1-cache-first C++ design, tight legal/compliance prep, and disciplined capex can take you from zero to first live clip—fast.