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Markets & Trading Systems

Trade Analytics & Reporting without the six-month discovery phase.

We focus on slippage and attribution reports your PM actually reads. Written scope, your stack, weekly demos — no account-manager layer.

3-4 weeksPythonWeekly demos

TradingView alerts fire but trade analytics & reporting. Most teams over-scope it. We write acceptance criteria first, then ship in 3-4 weeks for backtest framework v1 with Python in your repo — not a parallel codebase that rots.

Backtests that ignore fees are marketing, not research.

We won't go live without paper trading validation criteria in writing.

Primary buyer fit

Dominant persona: Portfolio managers

PMs who need slippage and attribution — not vanity Sharpe ratios.

Also relevant for

  • -Quant researchers comparing live vs backtest.
  • -Ops teams reporting to investors weekly.

Problems we solve

  • -Trade Analytics & Reporting estimates balloon because acceptance criteria were never written.
  • -A previous vendor shipped trade analytics & reporting that broke on edge cases in week two.
  • -Your team lacks bandwidth to own trade analytics & reporting while shipping the core product.
  • -Integrations around Python are fragile and nobody owns on-call.
  • -Stakeholders disagree on what "trade analytics & reporting done" means — so nothing ships.

What we deliver

  • -Written scope for trade analytics & reporting with explicit in/out of scope
  • -Weekly demo — live or recorded — with decisions logged
  • -Acceptance checklist signed before production launch
  • -Runbook for the failure modes we expect in month one
  • -Handoff doc so your team can maintain without us
  • -Working implementation in your repo using Python and Interactive Brokers API

How we work

  1. 1.Kickoff: access, repos, and 3-4 weeks for backtest framework v1 target
  2. 2.Prototype: rough end-to-end path for feedback early
  3. 3.Harden: edge cases, monitoring, and docs
  4. 4.Release: go-live support and next-step backlog

Why Futurebits

  • -Stack-first: we start with Python unless the audit says otherwise.
  • -Direct access to the people writing code or design files.
  • -We won't go live without paper trading validation criteria in writing.

Frequently asked questions

Who on your team works on Trade Analytics & Reporting?

The same small team from kickoff to launch — not a rotating bench. You talk to the people writing code or design files.

What does the first week of Trade Analytics & Reporting look like?

Access, repo setup, and a written scope draft. No build until you sign off on cut lines and the metric we're targeting.

Do you work with our existing Python or Interactive Brokers API setup?

Yes, when it's sane. We audit first and tell you if something needs replacing — we won't rip out working infra for sport.

What if we already started Trade Analytics & Reporting in-house?

We pick up from current state, document what's there, and focus on what's blocking launch — not a rewrite unless necessary.

How is Trade Analytics & Reporting priced?

Fixed scope for sprints (3-4 weeks for backtest framework v1). Broader work runs as a pod with weekly demos. We quote after a 30-minute scoping call.