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Mag Pulse · daily board · the Six plus the Torque · as of Sep 29, 2026

Mag Pulse

One question, answered daily: is the hyperscaler cohort turning? The Mag complex spent ~19 months going sideways on capex fear while nearly every benchmark ran. This week's cloud prints put booked demand against that fear — this board keeps the score. Six names in three cohorts, one torque row, and the popular instrument (MAGS) as the shared price frame. Tesla is excluded by methodology.

The regime-turn line Hyperscalers ÷ Consumer-AI · equal-weight · indexed 1y

1.001.161.31 25-1026-0126-0426-07 1.05
1D +0.20%1W +0.01%1M -13.15%1Y +2.99%

Rising = the market pays the build-out cohort over the consumer-AI cohort. The line is the board's headline read: a durable turn here is what "the discount is closing" looks like in price.

The MAGS map popular-instrument foil · standing levels

69.50 shelf 62.56 pivot ~56 trend 25-1026-0126-0426-07 71.39
Close 71.39 to 69.50 -2.65% to 62.56 -12.37% to ~56 -21.56%

Ten-month compression: flat top at the 69.50 supply shelf (two rejections), rising floor on the multi-year trendline (~56, hand-set monthly), pivot 62.56 = the Dec-2024 top on price. Levels first, story second.

The cohorts

Hyperscalers
1D -0.21%1W -1.74%1M -3.08%1Y +18.99%
1Y vs QQQ: -5.41%

MSFT · AMZN · GOOGL — the thesis longs: does the cohort close the gap?

Consumer-AI
1D -0.41%1W -1.75%1M +11.60%1Y +15.54%
1Y vs QQQ: -8.86%

META · AAPL — not yet in the build-out cycle; edge-AI optionality

Supplier
1D -0.72%1W -0.73%1M +4.44%1Y +27.67%
1Y vs QQQ: +3.27%

NVDA — the anchor between build-out and deployment

Torque
1D +3.91%1W -7.65%1M -8.66%1Y -51.01%
1Y vs QQQ: -75.41%

ORCL — highest-beta hyperscaler pivot; thesis amplifier both ways

The Six absolute + relative, Sep 29, 2026 close

Name Cohort Close 1D1W1M1Y 1Y vs QQQ 1Y vs MAGS Record
MSFT Hyperscalers 508.96 -0.05%+2.20%-0.89%-0.07% -24.47% -12.46% print record
AMZN Hyperscalers 246.67 +0.21%-3.26%-7.42%+12.23% -12.17% -0.16% print record
GOOGL Hyperscalers 340.92 -0.53%-2.92%-1.57%+38.47% +14.07% +26.08% print record
META Consumer-AI 738.79 +3.24%+0.30%+27.81%-0.50% -24.90% -12.89% print record
AAPL Consumer-AI 329.40 -2.66%-3.05%+3.03%+29.19% +4.79% +16.80% print record
NVDA Supplier 227.21 -0.72%-0.73%+4.44%+27.67% +3.27% +15.28% print record

The Torque · ORCL separated by design — the thesis amplifier, both ways

Close 137.79 1D +3.91% · 1W -7.65% · 1M -8.66% · 1Y -51.01%
Below the Sep-2025 high -57.55% high 324.63 on 2025-09-10 — the deepest drawdown in the complex
1M realized vol 53.1% cohort median 26% — the most volatile seat at the table

The torque: hyperscaler-since-recently, declined the most, most volatile in both directions. If the thesis holds, the biggest move lives here.

Benchmarks the field the Six are measured against

Instrument Close 1D1W1M1Y
QQQ 737.93 +0.19%-1.27%+3.11%+24.40%
SPY 764.20 -0.18%-1.19%-0.42%+16.72%
SOXX 567.44 +1.19%-0.93%+11.64%+111.76%
XLK 194.50 -0.02%-0.90%+4.87%+40.22%
IGV 105.22 -0.20%-1.43%-3.91%-8.46%
MAGS · the foil 71.39 -0.18%-1.63%+3.36%+12.39%

The thesis layer the standing read per name — editorial, updated on evidence

MSFT

The capex-fear discount, refuted where it was priced deepest: Azure +43%, $678B backlog — the market paid the print +15% in a day.

AMZN

AWS re-accelerated to +37% — the demand witness. The biggest print reaction in its record parked it directly under the all-time-high line.

GOOGL

The straddle: cloud yes, search disruption already visible — and AI replacement monetizes less well. Re-rated in sympathy without printing.

META

Excellent at AI-for-ads — but that is not genAI. Charged hardest of the Six for strategy-push capex without a booked-demand anchor.

AAPL

Waiting to monetize reach, with the tail risk that a new AI interface takes reach away from mobile. The cost repricing hit its margin story first.

NVDA

The supplier both cohorts pay either way — priced on workloads, not orders; the boundary name between build-out and deployment.

Methodology

Universe: six Mag names in three cohorts — Hyperscalers (MSFT, AMZN, GOOGL), Consumer-AI (META, AAPL), Supplier (NVDA) — plus Oracle as a visually separated torque row. Tesla is excluded by stated methodology: not a Mag company for this monitor — its price is set by autonomy and robotics narratives, not by the cloud/AI build-out economics this board measures.

Computation: cohort composites are equal-weight within cohort. All windows (1D/1W/1M/1Y) are trading-day windows on adjusted closes. Relatives are simple return differences against each benchmark (QQQ, SPY, SOXX, XLK, IGV) plus MAGS as the popular-instrument foil. The headline line is the hyperscaler composite divided by the consumer-AI composite, indexed over one year — the regime-turn detector.

The MAGS map is a standing frame, not a computed one: the 69.50 supply shelf and 62.56 pivot (the Dec-17-2024 top on price basis) are fixed levels; the multi-year trendline (~56) is hand-set and updated monthly.

Data: equities from the Closelooknet data lake; benchmark ETFs from EODHD. Refreshed nightly after the US close (22:30 UTC, Mon–Fri).

This board is a diary entry on our process. Closelooknet publishes research, not investment advice.

FAQ · from the current data · as of 2026-09-29

Quick answers

What does Mag Pulse track?

Mag Pulse is a daily board on six "Mag" companies split into three cohorts — Hyperscalers (MSFT, AMZN, GOOGL), Consumer-AI (META, AAPL) and Supplier (NVDA) — plus Oracle tracked separately as a high-beta "torque" name. Tesla is excluded by methodology: its price is driven by autonomy and robotics narratives, not cloud/AI build-out economics. See the Capex Cliff 101 for the thesis behind the board. As of Sep 29, 2026.

How has the Hyperscalers-versus-Consumer-AI ratio moved over the past year?

As of Sep 29, 2026, the equal-weight Hyperscalers ÷ Consumer-AI ratio moved +2.99% over the trailing year (1D +0.20%, 1M -13.15%). A rising ratio means the market is paying the build-out cohort over the consumer-AI cohort — the board's regime-turn detector.

Which of the Six has performed best and worst over the past year?

As of Sep 29, 2026, the strongest 1-year performer among the Six is GOOGL at +38.47%, and the weakest is META at -0.50%.

Where does MAGS trade relative to its key levels?

MAGS closed at 71.39 as of Sep 29, 2026, which is -2.65% from the 69.50 supply shelf, -12.37% from the 62.56 pivot, and -21.56% from the ~56 trendline.

How volatile is ORCL relative to the rest of the cohort?

As of Sep 29, 2026, ORCL's one-month realized volatility was 53.1%, versus a cohort median of 26% — the most volatile seat at the table. ORCL is -57.55% below its Sep-2025 high of 324.63 (set 2025-09-10).