Category and positioning

Research and validation, before execution. The gap between a notebook and an enterprise risk system.

Execution platforms are built to trade. Enterprise risk systems are built for firms. Notebooks are built for anything, by you, again each time. Quant Compose sits deliberately in the gap: rigorous enough for an institution's methodology, accessible to an individual or a class, and finished before an order exists.

Approaches, compared fairly

Categories rather than names, including the row that says when not to use us.

CriterionNotebooks and scriptsSpreadsheetsExecution platformsEnterprise risk systemsQuant Compose
Best atOpen-ended exploration and any method you can codeQuick arithmetic, ad hoc allocation, sharing a tableTurning a rule into orders, live and paper, with a strategy marketplaceFirm-wide risk at institutional scale and priceResearch and validation before execution, for individuals, students and small teams
Validation by defaultWhatever you wrote this timeNoneBacktests, usually in-sample and rarely purgedExtensive, configured by a teamChronological split, train-only scaler, purge gap, walk-forward folds, worst fold reported, trials counted
ReproducibilityDepends on discipline: environments drift, cells run out of orderFragile: formulas and pasted valuesStrategy formats are often undisclosedStrong, inside the vendorProjects isolate state; workflows are versioned specifications; runs are records; the experiment record hashes its inputs
Coding requiredYesNoSometimesNo, but heavy configurationNo. Configuration, not scripting; a custom-script space is labelled future
Method libraryEverything in the ecosystem, uncuratedBuilt-in functionsIndicators and strategy templatesVendor models119 catalogued methods with typed parameters and citations; 72 checked against a published reference
ExecutionIf you wire itNoYes, that is the pointThrough order management systemsNo. Nothing places or routes an order
Cost and accessFree, plus your timeCheapFree tiers to subscriptionInstitutional contractsFree during private beta; planned plans published as planned
When not to use itWhen results have to be defended by someone who did not write the codeWhen the method is more than a formulaWhen the question is whether an idea is real, not whether it can tradeWhen you are one person, a class, or a small teamWhen you need to execute, when you need intraday data, or when your method is not in the catalogue yet

The comparison describes categories of tool as they are commonly used. It is not a claim about any named product, and the Quant Compose column states only what the workspace does today.

Six things the gap needs

The pillars, in priority order.

  1. 01

    All in one, no fragmentation

    Data, methods, pipeline, analysis, saved results and report in one project. Nothing is re-exported between tools to keep going.

  2. 02

    No coding required

    Configuration, not scripting. The methodology is built in and explained inline as you use it.

  3. 03

    Honest by construction

    Purged, embargoed, walk-forward validation on by default. Forecasts scored against a naive baseline even when the baseline wins. Weak results stay visible.

  4. 04

    Reproducible

    Projects are isolated. Saved results keep their parameters. The experiment record hashes its inputs and the trial ledger is append-only. Anyone on the team can re-run a result.

  5. 05

    Composable

    A pipeline you build once and re-run on new data, not a drawer of disconnected calculators.

  6. 06

    Minutes, not weeks

    What used to be a week of notebook plumbing becomes an afternoon of configuration, with the record kept for you.

What this is not

Stated plainly, because it matters as much as what is included.

  • Not a live trading or order-routing system. The health endpoint reports live_order_routing: false.
  • Not a guarantee that a validated strategy will perform. Validation reduces self-deception; it does not remove risk.
  • Not a substitute for your own judgement on methodology. The workspace refuses and explains; it does not decide for you.
  • Not investment advice. Nothing it computes is a recommendation to buy or sell any security.
How the evidence layer works

If the gap is where you work, this is for you.

Bring one real question to the private beta. Applications are read by a person.