SEKUIA Quantitative Research
The math behind serious decisions.
Models, signals, forecasts, and scenario engines built to institutional standards — used inside hedge funds, banks, sovereign wealth funds, and family offices to shape allocation.
Models in production
140+
Markets covered
60
Signal updates
Daily
Validation depth
20yr+
Pillars
Six pillars of the research stack.
Regime classification
Multi-factor regime models across growth, inflation, liquidity, volatility, and policy stance — refreshed daily.
Forecast engines
Probabilistic forecasts on rates, FX, commodities, growth, and inflation across 1m / 3m / 6m / 12m horizons.
Scenario architecture
Conditional scenario trees — each branch carries asset-class implications and hedging menus.
Factor & signal library
Cross-asset positioning, carry, momentum, dispersion, liquidity, sentiment, and policy-shock factors.
Bespoke quant mandates
Custom signal builds, validation, and integration into client portfolio construction frameworks.
Backtesting & validation
Walk-forward testing, regime conditioning, transaction-cost modeling, and live shadow tracking.
Methodology
Quantitative discipline. Macro judgment. No noise.
Every model ships with assumptions, regime sensitivity, validation history, and known failure modes — not just outputs.
Transparent assumptions
Each model exposes its priors, training window, regime conditioning, and breakdown points.
Live shadow tracking
All production signals run in shadow before commercial use. Performance is logged and shared.
Regime-aware deployment
Signals carry regime tags. We tell clients when not to use a model — not just when to.
Engagement formats
From signal license to dedicated quant pod.
Signal License
$50k–$250k / yr
Access to selected signals, refreshed daily, with full methodology notes.
Research Retainer
$250k–$1M / yr
Embedded quant research support, custom builds, and regular review sessions.
Dedicated Quant Pod
$1M–$5M / yr
A dedicated SEKUIA quant team mapped to a client's investment process.
Quant collaboration begins under NDA.
We do not publish the model library publicly. Serious enquiries are reviewed by the research committee.