Markets & Trading Systems
Trade analytics that expose edge decay and execution drag.
Daily and per-trade analytics for slippage, attribution, and performance decomposition tied to strategy decisions.
Primary buyer fit
Dominant persona: Funds
Funds that need attribution clarity for PM updates and risk committee reviews.
Also relevant for
- -Prop desks optimizing execution quality and strategy-level expectancy.
- -Discretionary teams turning journal-style insights into measurable analytics.
Problems we solve
- -Performance reporting lacks attribution depth for decision-making.
- -Slippage and edge decay signals are discovered too late.
- -Post-trade analysis is manual and inconsistent across teams.
What we deliver
- -Per-trade and aggregate analytics with attribution and slippage decomposition.
- -Daily/weekly reporting pipelines with strategy-level diagnostics.
- -Decision-ready KPI layers for PM, trader, and risk cadences.
Frequently asked questions
What outcomes should we expect from trade analytics & reporting?
We align trade analytics & reporting work to measurable outcomes such as cycle-time reduction, quality improvements, and conversion or retention gains depending on your use case.
How long does delivery usually take?
Focused scopes usually land in 2-4 weeks. Broader implementations run 8-12 week pod engagements with weekly demos and clear milestones.
Can you work with our existing team and stack?
Yes. We typically work inside your stack and repo, follow your review process, and leave your team with clean documentation and handoff clarity.
How do you manage risk and quality?
We define acceptance criteria up front, ship in small increments, and track quality with explicit checks, observability, and rollback-safe delivery habits.
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