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Overview
Deep technical analysis on HFT infrastructure, execution quality, and trading system design. Built for CTOs and engineering leads at institutional firms.
News
I Was Asked to Rebuild an HFT System in C#. I Laughed. Then I Measured It Twice.
A client asked me to architect an institutional crypto trading system on .NET. Twenty years of building order books in C++ gave me an immediate answer, and it was not a polite one. But I have one rule that outranks my instincts: measure before you decide.
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The Order-to-Trade Ratio Has Four Readings. Most Desks Only Know One.
In April, I opened the cancel stream as an alpha input. The Cancel-Stream Gap argued that a signal stack built on the trade tape alone is modeling a minority of the events in the book it is trying to predict, and that closing that gap is a data-access dec
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Multi-Venue Trading Architecture: The Four Layers Beneath Smart Order Routing
A fill lands on venue A. The strategy's risk logic reads it, computes exposure, and fires a hedge. Milliseconds later, the same parent order's fill on venue B lands, except the risk system does not know it yet: no shared clock told it the two fills belong
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Before, During, and After the Fill: A Practitioner's Map of Market Microstructure Measurement
Every order sent to a market moves through the same three-part sequence: a decision made before it is sent, a market that keeps moving while it works, and a record left behind after it fills. Most trading technology optimizes the middle part, the live vie
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Level 3 Market Data in Crypto: Why Most Exchanges Still Withhold the Order Book's Full Depth
Table of Contents The Plumbing Already Exists What L2 Hides: The Queue-Position Problem What Order-Level Data Has Already Caught in TradFi The Honest Counterargument: Why Aggregation Persists Where This Leaves Crypto Desks A Venue Data-Capability Audit Co
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