Institutions report late. They move early.
Institutional filings are lagged, noisy, and stripped of context. By the time they're public, most of the move has already happened. Vergrid reconstructs real conviction from the intelligence beneath — normalized, factor-aligned, and cross-referenced across funds.
Conviction, not just position.
Not every filing carries conviction. Vergrid scores each position against six quant factors — separating deliberate, high-conviction accumulation from passive drift and index rebalancing.
Three-layer intelligence pipeline
Each institutional filing is normalized against fund AUM, historical activity, and reporting lag. Raw size becomes relative conviction.
Six quant factors applied per position: value, momentum, quality, concentration, turnover, and fund pedigree.
Cross-fund alignment produces a 0–100 conviction score. Low-conviction and passive moves are filtered out.