Systematic Alpha Generation Through Machine Intelligence
Daily machine-learning forecasts on every US-listed equity over two horizons, portfolio construction under your mandate's constraints, and a validation record computed on data the model never saw.
From the Close to a Portfolio You Can Trade
The film in five chapters. Each chapter is a part of the platform you can open today; select a timestamp to watch it.
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01Coverage
The whole US market, read every evening
4,000+ US-listed equities. Cleaned, normalised statements over 10+ years, market data and corporate events, refreshed after every close.
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02Signals
Every stock ranked, on two horizons
Directional conviction on 1-month and 3-month forecasts, published every trading day after the close.
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03Construction
From signals to a portfolio
Mean-variance optimization under your risk target, sector limits, position sizing, turnover, factor exposure and trading costs.
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04Validation
Evidence, not promises
Walk-forward and embargoed, on a factor-neutral long/short book net of realised trading costs.
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05Access
Wherever you work
Web platform, REST API, and an MCP server that plugs Intratio signals and the optimizer into AI assistants.
Also included: factor-exposure, correlation, drawdown and Value-at-Risk analytics on every portfolio, and the normalised fundamental dataset behind each forecast.
A Disciplined Approach to Signal Discovery
Our research pipeline is built on the same principles that govern institutional quantitative funds: hypothesis-driven feature engineering, strict walk-forward validation, and continuous model monitoring.
Data Ingestion & Normalization
Daily automated collection and cleaning of financial statements, market data, corporate events, and macroeconomic indicators across the full US equity universe.
Feature Engineering
A proprietary feature set drawn from several independent data families. Every candidate is hypothesis-driven and admitted only on evidence of out-of-sample contribution; names and definitions are not disclosed.
Model Training & Validation
Ensemble machine-learning models trained on the factor-neutral part of returns, with purged, embargoed, regime-aware cross-validation and a strictly posterior test window that is opened once, after every modelling choice is frozen.
Signal Delivery & Monitoring
Daily post-market generation of forecasts with continuous IC tracking, regime detection, and automated model degradation alerts.
The Whole Market, Lit by Today's Signals
Every covered company, sized by market capitalisation and grouped by sector. Zoom from the whole market down to a single forecast.
Designed for Professional Decision-Making
Clean, information-dense interfaces built for portfolio managers and research analysts who need clarity, not noise.
Transparent, Reproducible Results
Every performance figure is computed on the most recent block of history the model was never trained on, separated from training by an embargo, on a factor-neutral long/short book charged with realised trading costs. The full report is regenerated automatically from the artifacts of each training run.
Validation Approach
- Factor-neutral long/short book, net of realised trading costs, out of sample
- Newey-West significance, drawdowns, monthly returns and the leverage table
- Calibration by score ventile, per-date rank correlation, every raw prediction
- Full artifact set and capacity study available to qualified allocators under NDA
Out-of-sample, factor-neutral, net of costs — with the limitations stated
Integrate Systematic Intelligence Into Your Investment Process
Whether you manage a multi-strategy fund or a single family office portfolio, our research infrastructure adapts to your workflow. Schedule a consultation to discuss your specific requirements.
Intratio provides quantitative research and analytical tools for informational purposes only. Nothing on this website constitutes investment advice, a solicitation, or a recommendation to buy or sell any security. Past performance of any model or strategy does not guarantee future results. All investments carry risk, including possible loss of principal. Users should consult with qualified financial advisors before making investment decisions. Intratio does not hold, manage, or have custody of client funds.