QD Research Engine

The QD Research Engine is an automated AI editorial system — not a human author. It systematically analyses peer-reviewed academic papers, institutional white papers, and factor research from sources including AQR Capital Management, Fama–French, the CFA Institute, and the Journal of Finance — and translates them into structured, accessible analysis for independent investors.

Every article produced by the QD Research Engine is reviewed against its source material for accuracy before publication. The engine does not generate opinion or speculation — it synthesises, structures, and contextualises published research.

Cakupan Keahlian

Metodologi Penilaian

Each article includes key claims rated on a 1–5 confidence scale reflecting evidence strength: replication across studies, consistency across time periods and geographies, and robustness to methodological alternatives. To date: 129 claims assessed, average confidence 4.5/5.

How It Works

The QD Research Engine operates as an automated research pipeline. It draws from peer-reviewed journals in financial economics, publicly available factor return datasets, and institutional research published by leading systematic investment managers. For each article, the engine identifies the primary academic source, cross-references findings against related studies across different time periods and geographies, and structures the synthesis into a consistent, readable format.

The automated pipeline handles source identification, cross-reference analysis, structured output generation, and translation into 7 languages. The human editorial layer reviews every article for accuracy against the cited sources, validates that claims are properly attributed, and approves publication.

For questions about our editorial methodology, see the About page.