Hivemind supports alpha generation by producing point-in-time signals from unstructured, narrative-driven data that explains incremental out-of-sample variance beyond traditional factors.
Hivemind exposures:
In alpha workflows, Hivemind is most commonly used to build thematic tilts, cross-sectional signals, and dynamic overlays that complement conventional quantitative strategies.
Note: Our alpha benchmark is being polished for release. It will be available here, and on our blog, in the coming weeks.
Let's explore Creating a Hivemind Overlay next.