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QuantCompose
  • Capabilities

    • Research pipelineProjects, stage composition, re-runs on new data
    • Method and model library119 research methods, 43 machine learning models
    • Validation and evidencePurged, embargoed, walk-forward, deflated
    • Portfolio and riskOptimisation, risk analytics, stress testing

    Data and output

    • Bring your own dataCSV, Yahoo Finance, FRED, Ken French and more
    • Reports and saved resultsPDF, DOCX, HTML and JSON from one record
    • RoadmapNow, next, exploring, future
    Platform overviewWhy Quant ComposeResearch and validation before execution — the gap between notebooks and enterprise risk systems.Read the comparisonAll of platform
  • By audience

    • Universities and studentsMethod without the setup term
    • Quant researchersSame footing for every experiment
    • Portfolio and risk analystsFrom spreadsheet to defensible allocation
    • Trading analystsJudge an idea before it earns engineering time
    • Fintech and prop teamsA shared, auditable research reference
    Solutions overviewInstitutions and teamsCohort access, teaching use and workspace standardisation, stated as design intent.Make an enquiryAll of solutions
  • Learn

    • Foundations
    • Data and features
    • Models
    • Validation
    • Portfolio and risk
    • Practice
    • Glossary
    QuantLab overviewPurging and embargoing, explained visuallyWhy a chronological split is not enough, and what the gap between train and test is for.Read the articleAll of quantlab
  • Pricing
  • About
Get early access
QuantCompose
Platform
  • Platform overview
  • Why Quant Compose
  • Research pipeline
  • Method and model library
  • Validation and evidence
  • Portfolio and risk
  • Bring your own data
  • Reports and saved results
  • Roadmap
Solutions
  • Solutions overview
  • Institutions and teams
  • Universities and students
  • Quant researchers
  • Portfolio and risk analysts
  • Trading analysts
  • Fintech and prop teams
QuantLab
  • QuantLab overview
  • Purging and embargoing, explained visually
  • Foundations
  • Data and features
  • Models
  • Validation
  • Portfolio and risk
  • Practice
  • Glossary
PricingAbout
Get early access

Private beta — research and analytics, not execution

  1. Legal/
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Legal

  • Acceptable use policy
  • Cookie policy
  • Disclaimer
  • Privacy policy
  • Terms of use

On this page

  1. No website analytics
  2. What is stored on your device
  3. Forms and hosting
  4. The workspace
  5. Questions

Cookie policy

Last updated 13 October 2026

No website analytics

We do not run Google Analytics, advertising pixels or comparable visitor analytics on www.quantcompose.com. The website does not load analytics scripts, send visitor analytics to Google or set analytics cookies. We do not use fingerprinting to identify visitors.

There is no analytics consent panel or preference control in this release. Any analytics choice saved by an earlier version is ignored and does not enable collection. Clearing your browser’s site data removes old local preferences and cookies.

What is stored on your device

Your colour scheme is saved in local storage to remember your appearance preference across visits. Your accent is saved in session storage for the current visit and resets when the tab session ends. These values remain on your device and are not sent to an analytics service. If browser storage is unavailable, preferences may not persist.

Clearing your browser’s site data removes these preferences.

Forms and hosting

Website forms submit to our own server handlers. Hosting providers may use security mechanisms and request logs to operate and protect the site; these are separate from visitor analytics. See our privacy policy for how form submissions are handled.

The workspace

This policy describes the public marketing website. The authenticated workspace uses its own authentication and data-handling controls. Review the information provided there before signing in.

Questions

Email contact@quantcompose.com with questions about this policy or requests concerning your information.

Private beta

Bring one real research question.
Leave with a result you can defend.

Access opens in stages. Applications are read by a person, and every beta researcher gets a direct line back to the people building the workspace.

Apply for early accessInstitutions and teams
QuantCompose
QuantCompose

A composable quantitative research workspace. Bring your own data, compose methods into a pipeline, validate honestly, export a result you can defend.

Private beta — research and analytics, not execution

Method notes, changelog and beta cohort announcements. No schedule, no tracking pixels.

Product

  • Platform
  • Research pipeline
  • Method and model library
  • Validation and evidence
  • Portfolio and risk
  • Bring your own data
  • Reports and saved results
  • Roadmap
  • Security
  • Changelog

Solutions

  • Solutions overview
  • Universities and students
  • Quant researchers
  • Portfolio and risk analysts
  • Trading analysts
  • Fintech and prop teams
  • Institutions
  • Why Quant Compose

Resources

  • QuantLab
  • Foundations
  • Data and features
  • Models
  • Validation
  • Portfolio and risk
  • Practice
  • Glossary
  • Blog
  • FAQ

Company

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  • Contact
  • Privacy
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  • Cookies
  • Disclaimer
  • Acceptable use
Scheme
Accent

Quant Compose is a research and analytics workspace. It does not place trades, route orders or give investment advice. Nothing it computes is a recommendation to buy or sell any security. The sample project runs on synthetic reference data that is labelled as such wherever it appears. Past performance, real or simulated, is not a guide to future results.

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