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Markets & Trading Systems

Quant Research Infrastructure without the six-month discovery phase.

We focus on research pipelines that reproduce — not one-off notebooks. Written scope, your stack, weekly demos — no account-manager layer.

10-12 weeksPandasEvals first

You need quant research infrastructure done properly: tradingview alerts fire but We typically deliver in 10-12 weeks for production execution with risk gates. Same team from kickoff to launch; Pandas where your stack already uses it.

Shadow mode should run longer than most teams want — that's the point.

We won't build execution without idempotent order handling.

Primary buyer fit

Dominant persona: Quant research leads

Research leads tired of non-reproducible notebook experiments.

Also relevant for

  • -Funds standardizing data pipelines.
  • -Teams onboarding new quants faster.

Problems we solve

  • -Quant Research Infrastructure estimates balloon because acceptance criteria were never written.
  • -A previous vendor shipped quant research infrastructure that broke on edge cases in week two.
  • -Your team lacks bandwidth to own quant research infrastructure while shipping the core product.
  • -Integrations around Pandas are fragile and nobody owns on-call.
  • -Stakeholders disagree on what "quant research infrastructure done" means — so nothing ships.

What we deliver

  • -Written scope for quant research infrastructure 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 Pandas and broker REST APIs

How we work

  1. 1.Audit: existing Pandas setup and failure modes
  2. 2.Design: approach, risks, and test plan before code
  3. 3.Implement: focused build with explicit done criteria
  4. 4.Validate: staging sign-off, then production with rollback plan

Why Futurebits

  • -Weekly demos with written decisions — not status decks.
  • -Stack-first: we start with Pandas unless the audit says otherwise.
  • -Direct access to the people writing code or design files.

Frequently asked questions

What if we already started Quant Research Infrastructure 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 Quant Research Infrastructure priced?

Fixed scope for sprints (10-12 weeks for production execution with risk gates). Broader work runs as a pod with weekly demos. We quote after a 30-minute scoping call.

What do you need from us to start?

One decision-maker, repo or staging access, and honest constraints (timeline, budget, stack). Existing docs help but aren't required.

Can you stay on after Quant Research Infrastructure launches?

Yes — maintenance sprints or a partner retainer. Many teams keep us for the next bottleneck once v1 is stable.

Who on your team works on Quant Research Infrastructure?

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