[Notes from the desk]
Insights
Notes from the desk.
Selected technical writing on market microstructure, execution, and digital-asset trading.
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[Insight 07] ·
Adverse selection in automated markets
Adverse selection is not a single line item on a fee schedule. It is the conditional distribution of price moves that follow your fills — the signal that distinguishes venues, hours, and instruments where the desk has an edge from those where it is contributing one to someone else.
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[Insight 06] ·
Order lifecycle accounting
An order is not a single event but a sequence of distinct stages — signal, route, submit, match, settle — each carrying its own explicit and implicit cost. Aggregate fill-quality metrics conceal where the cost actually accumulates and leave the next optimisation decision without a basis.
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[Insight 05] ·
Venue selection as a risk decision
Venue selection is typically framed as a cost optimisation — fees, fill rates, depth. It is better understood as a risk decision that bundles settlement architecture, counterparty composition, and liquidity concentration into every routing choice.
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[Insight 04] ·
Oracle latency as infrastructure cost
Oracle data latency is not just a technical metric — it is an infrastructure cost that compounds across every decision made against a stale external price reference. We compare relay and direct-feed delivery architectures and examine what the difference means in practice.
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[Insight 03] ·
Measuring execution quality in 24/7 digital-asset markets
Execution quality in always-on markets requires different benchmarks than traditional intraday metrics. We outline a framework for measuring slippage, fill rate, and realised cost against a moving fair-value reference.
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[Insight 02] ·
Latency budgets in algorithmic execution
Every component in an execution stack consumes part of a finite latency budget — from market-data ingestion through quote generation and venue acknowledgement. Understanding where the budget is spent matters more than chasing absolute speed.
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[Insight 01] ·
Notes on liquidity fragmentation across digital-asset venues
Digital-asset liquidity is split across dozens of venues with overlapping but non-identical books. We outline how fragmentation shapes price discovery and what it implies for systematic liquidity providers.