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Mag Pulse · daily board · the Six plus the Torque · as of Oct 6, 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

0.961.121.27 25-1126-0226-0526-08 1.03
1D +0.93%1W +2.23%1M -6.66%1Y +3.47%

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 25-1126-0226-0526-08 73.90
Close 73.9 to 69.50 -5.95% to 62.56 -15.35% to ~56 -24.22%

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 +0.90%1W +3.03%1M +2.49%1Y +22.43%
1Y vs QQQ: -4.10%

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

Consumer-AI
1D -0.02%1W +0.79%1M +9.81%1Y +18.32%
1Y vs QQQ: -8.21%

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

Supplier
1D +0.14%1W +5.29%1M +3.97%1Y +27.68%
1Y vs QQQ: +1.15%

NVDA — the anchor between build-out and deployment

Torque
1D +1.61%1W +5.07%1M -8.82%1Y -49.01%
1Y vs QQQ: -75.54%

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

The Six absolute + relative, Oct 6, 2026 close

Name Cohort Close 1D1W1M1Y 1Y vs QQQ 1Y vs MAGS Record
MSFT Hyperscalers 529.30 +0.78%+4.00%+5.92%+2.74% -23.79% -13.64% print record
AMZN Hyperscalers 256.29 +1.95%+3.90%-0.86%+16.76% -9.77% +0.38% print record
GOOGL Hyperscalers 347.68 +0.35%+1.98%+2.72%+41.90% +15.37% +25.52% print record
META Consumer-AI 738.88 -0.41%+0.01%+19.80%+4.16% -22.37% -12.22% print record
AAPL Consumer-AI 333.63 +0.22%+1.28%+4.27%+29.55% +3.02% +13.17% print record
NVDA Supplier 239.24 +0.14%+5.29%+3.97%+27.68% +1.15% +11.30% print record

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

Close 144.77 1D +1.61% · 1W +5.07% · 1M -8.82% · 1Y -49.01%
Below the Sep-2025 high -55.40% high 324.63 on 2025-09-10 — the deepest drawdown in the complex
1M realized vol 44.4% cohort median 24.9% — 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 759.66 +0.46%+2.94%+5.77%+26.53%
SPY 779.09 +0.55%+1.95%+1.41%+17.68%
SOXX 589.45 -0.01%+3.88%+13.46%+111.22%
XLK 202.00 +0.53%+3.86%+7.99%+42.62%
IGV 111.16 +1.31%+5.65%+6.30%-3.18%
MAGS · the foil 73.90 +0.54%+3.52%+6.42%+16.38%

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 2026-10-06

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 Oct 6, 2026.

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

As of Oct 6, 2026, the equal-weight Hyperscalers ÷ Consumer-AI ratio moved +3.47% over the trailing year (1D +0.93%, 1M -6.66%). 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 Oct 6, 2026, the strongest 1-year performer among the Six is GOOGL at +41.90%, and the weakest is MSFT at +2.74%.

Where does MAGS trade relative to its key levels?

MAGS closed at 73.90 as of Oct 6, 2026, which is -5.95% from the 69.50 supply shelf, -15.35% from the 62.56 pivot, and -24.22% from the ~56 trendline.

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

As of Oct 6, 2026, ORCL's one-month realized volatility was 44.4%, versus a cohort median of 24.9% — the most volatile seat at the table. ORCL is -55.40% below its Sep-2025 high of 324.63 (set 2025-09-10).