Industry research hub

Semiconductors

A curated 33-company semiconductor universe assessed weekly for market breadth, relative strength against the PHLX Semiconductor Index (.SOX), long-term trends, drawdowns and volume participation.

Understanding the universe

Our SEMICONDUCTORS research universe monitors 33 listed businesses spanning chip design, manufacturing, foundries, semiconductor equipment and related technology. It is a curated research basket, not a replication of the PHLX Semiconductor Index.

The benchmark is the PHLX Semiconductor Index (.SOX), which is excluded from the 33-company rankings. Equal-weight breadth and median security returns can differ materially from benchmark index returns. Our historical review contains 155 consecutive weekly observations through November 6, 2026.

Market breadthParticipation above the 200-day moving average
Drawdown structureDepth and distribution of corrections from prior highs
Volume and leadershipTrading participation and relative performance

Latest weekly snapshot · November 6, 2026

−9.99%Median weekly company return
5 / 33Companies above their 200-day moving average (15.15%)
−12.15%PHLX Semiconductor Index (.SOX), weekly

The weekly sample recorded 4 advancers and 29 decliners. These are descriptive observations, not a timing signal. The benchmark and company-basket statistics are not directly interchangeable.

Latest published analysis

The new sector hub is live. The full weekly study and interactive 33-company ranking will appear here once the report is published in the research catalog.

Semiconductors research archive

Studies tagged SEMICONDUCTORS appear here automatically when published in the research catalog, newest first.

No published semiconductor study in the research catalog yet.

Browse the complete research library →

How to interpret our findings

A weak breadth reading or an extreme historical percentile describes the condition of the market, not a confirmed turning point. Our research separates observed data from interpretation and scenarios. Historical distributions are contextual evidence rather than guarantees of future performance.

Read the full methodology and limitations →