Platform overview

Every stage of the loop, built as a real product surface.

Twenty-one pages in the workspace, five areas, one project carrying all of them. The six capabilities below are how the site explains it; each links to a deep page with real screens, the method as implemented, and a plain statement of what it does not do.

5 templates

Research pipeline

Projects as isolated environments. Workflows composed from the catalogue, validated before saving, versioned on every save, re-run on new data with a per-step record.

Open

119 methods

Method and model library

119 research methods in 19 categories, 72 checked against a reference. 43 machine learning models on one training path.

Open

4 split modes

Validation and evidence

Chronological split, train-only scaler, purge floored at the horizon, walk-forward folds with the worst fold reported, trials counted against you.

Open

6 stress episodes

Portfolio and risk

7 construction methods, 4 VaR methods, 6 historical stress episodes replayed on your own data. Research and analysis, not execution.

Open

15 index catalogues

Bring your own data

A CSV contract, Yahoo Finance, FRED, Ken French, Alpha Vantage, Polygon and custom REST behind an allowlist. Preparation in a fixed, audited order.

Open

4 export formats

Reports and saved results

One record of what ran, exported as PDF, DOCX, HTML or JSON. A workbench that marks a block stale when its source has moved on.

Open

Now / next / exploring / future

Roadmap

Implemented, planned, exploring, future. Only the first list is a claim about the software.

Open

The workspace, page by page

Five areas, twenty-one pages, in the order the sidebar presents them.

The names below are the on-screen titles. The eight-stage journey on the home page maps onto these areas; the platform pages above group them by capability.

Home

  • Workspace Dashboard
  • Projects & Workspaces
  • Workflow Composer

Market Research

  • Market Explorer
  • Data Preparation (Cleaning & Preprocessing)
  • Risk & Return
  • Portfolio Optimisation
  • Scenario & Stress Testing
  • Statistics & Exploratory Data Analysis (EDA)

Model Intelligence

  • Feature Engineering
  • Machine Learning (ML) Models
  • Model Forecasting
  • Tune & Experiment
  • Explainability

Strategies

  • Strategy Builder
  • Strategy Backtesting
  • Strategy Monitor

Quant Reports

  • Reports
  • QuantLab (Method Library)
  • Audit & Governance

Header

  • Settings & Connections
  • Search and command palette
  • Saved Results and Project Notepad

Strategy Monitor tracks strategies you have built and backtested. It is a record over the strategy specification and the backtest engine, not a connection to a broker. Private beta

Start with the sample project, then bring your own data.

Private beta is free. Access opens by cohort and every applicant hears back from a person.