From raw ticks to disciplined decisions

The pipeline

Seven stages

1. 01 · MARKET DATA

   Live and historical market data enters through a single ingestion layer with integrity checks — timestamps, gaps, and anomalies are detected at the boundary, not discovered downstream.

2. 02 · MARKET STATE

   Raw data is distilled into a continuously updated internal representation of the market — the shared ground truth every later stage reads from.

3. 03 · EVENT DETECTION

   The platform watches market state for conditions worth studying. Detected events, not wall-clock schedules, drive the research machinery.

4. 04 · STRATEGY RESEARCH

   Candidate strategies are generated and refined by the AI from observed market behavior, then tested against historical data and faithful replays.

5. 05 · QUALITY FILTERING

   Candidates pass through falsification and out-of-sample evidence gates. Most are rejected here — and the rejections are kept as research evidence.

6. 06 · RISK & GOVERNANCE

   Surviving strategies operate under governance: frozen identities, authority limits, kill-switches, and fail-closed behavior when anything is uncertain.

7. 07 · PAPER EXECUTION

   Approved strategies run prospectively with simulated execution. Their live-market paper record is the platform's final evidence layer — and its current authority ceiling.

This page is a deliberate abstraction. Specific strategy logic, parameters, thresholds, and internal component details are proprietary and are not published.

Engineering properties

Built like infrastructure, run like a lab