Sector Analysis

Top signal is — while weakest is —.

Build sector-aware position sizing rather than a uniform cross-sector model.

Sector heterogeneity can dominate model quality; one-size-fits-all allocation burns edge.

Narrative-heavy guidance in large-cap tech is rapidly priced by the market.

Lower expected alpha; keep tech weight capped unless supported by non-NLP factors.

Prevents over-allocating to highly competitive information environments.

Operational disclosures remain concrete and slower to be fully priced.

Prioritize NLP feature depth and earnings-event workflows in those sectors.

This is where marginal modeling effort should generate the most ROI.