The Physics of Jitter

In high-frequency trading (HFT), we are taught that speed is king. But in the modern institutional environment, speed is a commodity. The true battleground has shifted from speed to determinism.

The Average Latency Trap

Most infrastructure providers (AWS KMS, Fireblocks, etc.) market their “average latency.” But in a competitive order book, your average latency doesn’t matter. What matters is your tail latency—the 1-in-1,000 event where a 150ms spike causes you to miss an insertion window or results in an adverse price fill.

We call this the Jitter Tax.

The Mathematical Model of Jitter Tax

We define the Jitter Tax ($T_j$) as the expected value of alpha loss over time:

$T_j = \sum_{i=1}^{n} V_i \cdot S(L_i - L_{base})$

Where:

• $V_i$ is the volume of trade $i$.
• $S$ is the slippage coefficient (sensitivity of P&L to delay).
• $L_i$ is the observed signing latency.
• $L_{base}$ is the deterministic theoretical minimum.

Empirical Findings

Our research demonstrates that a transition from network-bound signing (Cloud HSM) to local, zero-copy signing (Sentinel Prime) reduces the Jitter Tax by up to 85%.

Provider	Median Latency	P99.9 Latency	Jitter Score (P99.9/Med)
AWS KMS	45ms	280ms	6.2x
Cloud HSM	12ms	165ms	13.7x
Sentinel Prime	0.04ms	0.06ms	1.5x

Conclusion

To capture alpha in the sub-millisecond regime, the infrastructure must be sovereign. Moving signing logic into a local Nitro Enclave isn’t just a security upgrade; it is a financial necessity.

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This report is part of the ZeroCopy Systems Research Series.