Methodology: evidence and repeatability by design.

We use systematic research and governed implementation to make investment work more reviewable and repeatable.

Philosophy

Three Core Principles

How we enforce this →

Data

Clean, consistent inputs

  • Continuous futures & multi-asset ETFs
  • Macro fundamentals & standard technicals
API

SQL / REST

  • Unified endpoints with quotas
  • Freshness metadata
Notebooks

Raw → features → backtests

  • Narrative, reproducible templates
  • Promotion staging & A/B tracking
Signals

Versioned & deployed

  • ML + DeMark hybrids, regime-aware
  • Dashboards & live performance
Regimes

Representative strategy research

Example Research role Signal family How it is evaluated
Mogul One research sleeve Mean reversion Against governed evidence and portfolio controls.
Groomer One research sleeve Trend following Against governed evidence and portfolio controls.
Policy & Guardrails

Calibration & promotion

  • Test: compare ideas across broad opportunity sets
  • Promote: retain only evidence-supported candidates
  • Review: breach a rule → investigate before extending use

Same rules for portfolios

  • Keep research and implementation boundaries explicit
  • Separate demonstrated features from planned extensions
  • Maintain reviewable lineage and assumptions

How this can support Advisor Solutions