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.
Open119 methods
Method and model library
119 research methods in 19 categories, 72 checked against a reference. 43 machine learning models on one training path.
Open4 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.
Open6 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.
Open15 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.
Open4 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.
OpenNow / next / exploring / future
Roadmap
Implemented, planned, exploring, future. Only the first list is a claim about the software.
OpenThe 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
Read the method first
Related capabilities
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.