Custom-built benchmarks tracking structural investment themes. Weighted by research conviction, not market cap — designed to measure what the market doesn't yet index.
Standard indices track what already happened. Functional indices track what's happening — mapping capital flows, supply chain constraints, and sovereign capabilities as they evolve. Each index is built from the ground up using Closelooknet's research framework, with constituents selected by structural thesis rather than committee consensus.
Every index includes a full methodology paper, constituent rationale, and regular rebalancing based on fundamental shifts rather than calendar dates.
Tracks the physical infrastructure buildout powering NVIDIA's Rubin and Feynman platforms. 100 constituents across 6 layers and 18 sectors spanning the full constraint chain: EDA, chip design, foundry, lithography, packaging, memory, testing, substrates, power semiconductors, grid infrastructure, thermal, interconnects, advanced materials, photomasks, fab subsystems, and specialty chemicals.
Measures Europe's irreplaceable position in the global AI supply chain. 4-tier structure: Core 20, 30 Enablers, Legacy Transformers, and Watchlist/Next Heroes across 13 countries. 4 broad indices (RI-weighted, Capped Market Cap, Equal Weight, Tier 1 Core 20) plus 14 sector sub-indices (7 sectors × RI + EW).
Tracks 100 AI-neutral growth compounders — companies with 10%+ revenue growth whose earnings are neither dependent on nor threatened by AI. The other side of the barbell: predictable growth in sectors that AI cannot disrupt.
Beyond index construction, Closelooknet develops proprietary analytical frameworks that map structural disruption to investable signals. Frameworks provide the scoring logic; indices provide the tracking.
Three strategic archetypes classifying how autonomous AI agents structurally impact Nasdaq 100 companies. Natural Position, Cannibalize or Die, Terminal. First public draft — scores are preliminary and we invite reader feedback to refine classifications.
Tracks the companies that turn tokens into economic output — the demand side of AI. 7 layers, 24 sectors, 130–150 companies mapping the full agentic economy from silicon to vertical applications. Two-tier structure: ~90 public companies with price tracking, plus a ~50-company private pipeline with IPO readiness signals.
Functional indices drive position selection in the AI Build-Out and Hypergrowth model portfolios. Full methodology and constituent changes published to C+ subscribers.
