ASQIOS is a governance-first research instrument for Shariah-compliant systematic equity strategies. Every hypothesis is pre-registered, falsified where it can be, and reproduced before it earns any trust. A research platform — not a fund, and not an offer to manage capital.
Compliance, method, and integrity are not features bolted onto a research process. They are the structure the research is permitted to exist inside.
An AAOIFI-primary methodology with a supervisory authority holding a reserved veto over every permissibility question. No mechanism enters research without a ruling from qualified scholars.
Strategies are explicit, testable rules — defined universes, cross-sectional factors, pre-registered verdict criteria — so what we believe can always be checked against what the evidence shows.
An immutable data store, a trial ledger, and a reproduction harness sit beneath everything. Results are logged before they are interpreted, so the record is evidence — not rationalisation.
ASQIOS resolves every trade-off lexicographically. A lower priority is considered only once every higher one is satisfied. Efficiency can never buy its way past compliance; growth can never buy its way past survival.
// Distrust acceptances. Trust rejections. The null hypothesis is the default verdict.
The architecture is deliberately stacked so the marginal contribution of every component can be measured rather than assumed. Tap a portfolio to expand.
Pure STRAT-001 factor model.
The control. A systematic factor model with no AI layer, establishing the baseline that every other portfolio is measured against.
STRAT-001 with an AI veto layer.
Adds a constrained AI veto on top of the factor baseline. Isolates whether a supervisory veto adds or destroys value versus PORT-A.
CAA-002 AI analyst.
A fuller AI analyst that scores names under strict rules — never excluding on data anomalies, never re-performing the Shariah screen, never reading routine activity as signal.
NED-002 news-event monitor.
Tests which event types carry edge — not whether a data source does. Each hypothesis must meet its own sample size and survive its own correction.
// Summing signals across independent hypotheses multiplies the testing burden — it does not reduce it.
Understand how the governance, the method, and the integrity layer fit together — or get in touch about the research itself.