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Mag Pulse · daily board · the Six plus the Torque · as of Oct 9, 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

0.971.121.27 25-1126-0226-0526-08 1.06
1D +2.81%1W +3.13%1M -0.08%1Y +4.76%

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 73.77
Close 73.77 to 69.50 -5.79% to 62.56 -15.20% to ~56 -24.09%

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 +1.98%1W +3.18%1M +6.03%1Y +22.90%
1Y vs QQQ: -0.55%

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

Consumer-AI
1D -0.81%1W +0.05%1M +6.11%1Y +17.32%
1Y vs QQQ: -6.13%

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

Supplier
1D -0.52%1W -2.00%1M +5.00%1Y +21.40%
1Y vs QQQ: -2.05%

NVDA — the anchor between build-out and deployment

Torque
1D +4.21%1W -0.63%1M -7.55%1Y -50.62%
1Y vs QQQ: -74.07%

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

The Six absolute + relative, Oct 9, 2026 close

Name Cohort Close 1D1W1M1Y 1Y vs QQQ 1Y vs MAGS Record
MSFT Hyperscalers 535.07 +2.38%+3.39%+8.66%+2.37% -21.08% -12.45% print record
AMZN Hyperscalers 262.43 +3.29%+4.34%+4.18%+16.52% -6.93% +1.70% print record
GOOGL Hyperscalers 351.66 +0.97%+2.38%+5.73%+43.95% +20.50% +29.13% print record
META Consumer-AI 718.67 -0.31%-1.29%+11.53%+0.28% -23.17% -14.54% print record
AAPL Consumer-AI 336.64 -1.11%+0.88%+3.08%+30.70% +7.25% +15.88% print record
NVDA Supplier 229.28 -0.52%-2.00%+5.00%+21.40% -2.05% +6.58% print record

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

Close 141.40 1D +4.21% · 1W -0.63% · 1M -7.55% · 1Y -50.62%
Below the Sep-2025 high -56.44% high 324.63 on 2025-09-10 — the deepest drawdown in the complex
1M realized vol 46.4% cohort median 24.7% — 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 751.27 +0.49%+0.23%+6.12%+23.45%
SPY 778.57 +0.60%+1.16%+2.99%+16.92%
SOXX 559.40 -0.69%-5.01%+8.18%+92.49%
XLK 198.78 +0.51%-0.52%+7.45%+37.47%
IGV 112.67 +2.81%+3.91%+11.33%-2.59%
MAGS · the foil 73.77 +1.01%+1.63%+6.63%+14.82%

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 2026-10-09

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 9, 2026.

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

As of Oct 9, 2026, the equal-weight Hyperscalers ÷ Consumer-AI ratio moved +4.76% over the trailing year (1D +2.81%, 1M -0.08%). 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 9, 2026, the strongest 1-year performer among the Six is GOOGL at +43.95%, and the weakest is META at +0.28%.

Where does MAGS trade relative to its key levels?

MAGS closed at 73.77 as of Oct 9, 2026, which is -5.79% from the 69.50 supply shelf, -15.20% from the 62.56 pivot, and -24.09% from the ~56 trendline.

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

As of Oct 9, 2026, ORCL's one-month realized volatility was 46.4%, versus a cohort median of 24.7% — the most volatile seat at the table. ORCL is -56.44% below its Sep-2025 high of 324.63 (set 2025-09-10).