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Operating rules

Methodology

The product has two jobs: compare the price performance of the AI stack and keep the thesis underneath each basket explicit, sourced, and falsifiable.

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01 · Construction

Sector baskets

Each row is a transparent equal-weight composite of the listed names shown in its detail panel. The basket is a monitoring lens, not an investable product or recommendation.

Native-currency price returns

Every member is measured in its own listing currency. Cross-company comparison uses returns, never nominal prices. The current public feed supplies closing prices rather than adjusted closes, so dividends and distributions are excluded.

member return = current close ÷ prior valid close − 1

Equal-weight daily compounding

The daily basket return is the arithmetic mean of valid constituent returns observed on that date. A holiday or unavailable listing is omitted, not forward-filled and not treated as zero.

basketₜ = basketₜ₋₁ × (1 + mean of available member returnsₜ)

Displayed windows

1D, 5D, 1M, and 3M use 1, 5, 21, and 63 observed basket sessions. YTD uses the final available prior-year close when present. The chart rebases the chosen window to 0%.

Relative mode

The comparison control measures each basket against SPY as a broad U.S. equity benchmark. SPY is a comparator, not a hedge recommendation.

relative return = (1 + basket return) ÷ (1 + SPY return) − 1

Benchmark source: State Street

02 · Data

Market-data boundary

Prices and calculations are deterministic inputs to the thesis monitor. They are never calculated or invented by the research model.

Live public mode

Production can request one year of daily chart history through the existing server-side market-data provider interface. Responses are cached briefly, credentials are not required, and missing symbols remain visibly unavailable.

Yahoo Finance chart data

03 · Research

One living thesis, ten sector tests

The AI-wide thesis is versioned. Each sector supplies a narrower claim, a condition that must remain true, and an observable break condition.

Power

Power & cooling

Capacity additions, standardization, or project delays remove the scarcity premium faster than demand grows.

Suppliers

Semiconductor suppliers

Foundry and memory capital intensity falls structurally or tool reuse materially lengthens replacement cycles.

Packaging

Advanced packaging

Capacity catches demand, yields normalize rapidly, or architectures reduce packaging intensity.

Semis

Semiconductors

Order concentration, inventory, or capacity additions turn the basket into a lower-quality proxy for AI demand.

Memory

Memory

HBM commoditizes quickly, conventional memory weakens, or aggressive capacity recreates a severe downcycle.

GPU

GPU & accelerators

Utilization falls, alternatives erase platform advantages, or efficiency gains sharply reduce required accelerator units.

CPU

CPU & host compute

Accelerator integration or custom silicon compresses host CPU content and economics faster than cluster volumes grow.

Network

Networking & optics

Standardization, integration, or slower cluster growth commoditizes switching and optics faster than volumes expand.

Neoclouds

Neoclouds

Customer concentration, refinancing needs, or falling compute prices expose weak unit economics or stranded capacity.

Lab proxies

Frontier lab proxies

Governance, dilution, capital commitments, or a weak commercial link make the public security a poor proxy for frontier-model value.

Working five-layer map

  1. 01Power, sites & cooling
  2. 02Semiconductor supply chain
  3. 03Compute, memory & networking
  4. 04Cloud capacity & frontier models
  5. 05Applications & demand

04 · Governance

Research remains review-gated

AI-generated research may suggest evidence or a thesis change, but it remains private until an administrator reviews sources and explicitly publishes it. The sector monitor does not imply a buy, sell, or sizing decision.