Notes from the operating layer.
Evidence-led writing for operators, risk desks and quants — on funded-trading operations, toxic-flow detection, broker technology, AI in trading infrastructure and data sovereignty. No keyword filler; we publish when there is something to say.
Latest
How to choose a prop-firm CRM (2026)
Seven questions that separate an operating layer from a liability: tenancy and data ownership, built-in risk surveillance, rule versioning, platform coverage, commercial conflicts, AI governance and exit. A buyer's framework — including when turnkey is the right answer.
A working taxonomy of toxic flow
Before you can detect toxic flow you have to define it. A practical classification for prop firms and brokers — and why static rules always lag the behaviour they police.
What data sovereignty actually means for a trading firm
Tenancy, ownership, keys, residency, exit: five questions that separate marketing from architecture — and a due-diligence checklist for your next vendor call.
MCP in trading infrastructure: AI leverage without surrendering your data
The Model Context Protocol turned AI integration from bespoke plumbing into governed architecture. What that means for firms that want frontier models over sensitive operational data.
The funded-trader lifecycle: where operations actually break
Prop firms rarely fail at marketing. They fail in the seams — evaluation disputes, payout queues, KYC bottlenecks. A stage-by-stage look at the operational failure points.
One accountable layer: the case against the integration mesh
Brokerage back-offices accrete tools until nobody owns an incident end to end. Why the real cost of a fragmented stack is accountability, and what consolidation should actually mean.