Aethelgard Capital Management//Quantitative Finance

Autonomous Algorithmic Trading Infrastructure for Quant Capital

Engineered an ultra-low latency event mesh and risk engine processing $4.2B daily trading volume with deterministic P99 latency under 12 microseconds.

Stack:RustDPDKNext.jsC++Kafka+1 more
1:1 Production Spec
Autonomous Algorithmic Trading Infrastructure for Quant Capital
Aethelgard Capital ManagementVerified
P99 Execution Latency
11.2 μs
↑-99.9%
Daily Transaction Volume
$4.2B
↑+140%
System Uptime Across FY25
99.999%
↑Flawless

The Architectural Challenge

The client was experiencing trade execution slippage during high-volatility market opens. Their legacy C++ and Java distributed broker stack incurred intermittent 150ms garbage collection pauses that caused adverse selection on exchange books.

The Engineering Solution

RIZMEC re-architected the entire order management and risk verification system in zero-allocation Rust and DPDK user-space networking, connected to an FPGA tick-to-trade fabric with real-time web telemetry.

Quantified Results

Eliminated GC latency pauses completely. Decreased average tick-to-order turnaround from 84ms to 11.2 microseconds, yielding a 28% increase in executed strategy alpha.

System Architecture & Telemetry

Autonomous Algorithmic Trading Infrastructure for Quant Capital — Architecture view 1
Autonomous Algorithmic Trading Infrastructure for Quant Capital — Architecture view 2

“RIZMEC is the only engineering partner we have ever trusted to touch our core execution stack. Their architectural rigor is unmatched internationally.”

J
Julian Thorne
Chief Technology Officer, Aethelgard Capital
Technologies
RustDPDKNext.jsC++KafkaWebSockets
Services Delivered
  • Cloud Infrastructure
  • Custom Automation
  • Full-Stack Web

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