Methodology
A transparent, seven-step research pipeline.
Every step is documented, reproducible, and refreshed monthly. Data flows from raw index holdings to a single Market Influence Score.
Step 01
Collect Holdings
Ingest current constituent data from SPY, QQQ, and DIA — including ticker, name, weight, and sector.
Step 02
Clean & Standardize
Reconcile share-class differences (GOOG/GOOGL), normalize corporate names, unify sector taxonomies.
Step 03
Normalize Weights
Rescale each index to a common 100% basis, so a 6% SPY weight is comparable to a 6% DIA weight.
Step 04
Compute LHI Score
Blend normalized weights with an influence multiplier for cross-index overlap, mapped to a 0–100 scale.
Step 05
Rank Companies
Sort by Market Influence Score to identify the top drivers of the composite U.S. equity market.
Step 06
Sector Analysis
Aggregate scores by GICS sector to reveal industry-level concentration and rotation.
Step 07
Publish Report
Package the ranked index, sector view, and commentary into a monthly institutional research brief.
Formula
Market Influence Score
LHIi = 100 × ( α · wi,SPY
+ β · wi,QQQ
+ γ · wi,DIA )
× ( 1 + λ · overlapi )
α, β, γ — normalization coefficients per index
λ — overlap multiplier (0.15 default)
overlapi — number of indexes containing constituent i (0–3)
Data Sources
Inputs
- SPYSPDR S&P 500 ETF — 503 constituents
- QQQInvesco Nasdaq-100 ETF — 101 constituents
- DIASPDR Dow Jones Industrial Average ETF — 30 constituents
- GICSMSCI Global Industry Classification Standard
- PricesConsolidated close prices, end-of-month adjusted