Mag Pulse · daily board · the Six plus the Torque · as of Sep 14, 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

0.981.141.29 25-1026-0126-0426-07 1.09
1D +0.42%1W -4.12%1M -9.60%1Y +4.02%

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 70.10
Close 70.1 to 69.50 -0.86% to 62.56 -10.76% to ~56 -20.11%

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 +1.60%1W +1.20%1M -0.41%1Y +21.20%
1Y vs QQQ: -0.80%

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

Consumer-AI
1D +1.19%1W +5.54%1M +10.17%1Y +16.52%
1Y vs QQQ: -5.48%

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

Supplier
1D -3.36%1W -8.32%1M -6.36%1Y +19.22%
1Y vs QQQ: -2.78%

NVDA — the anchor between build-out and deployment

Torque
1D -3.65%1W -8.81%1M -7.32%1Y -52.60%
1Y vs QQQ: -74.60%

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

The Six absolute + relative, Sep 14, 2026 close

Name Cohort Close 1D1W1M1Y 1Y vs QQQ 1Y vs MAGS Record
MSFT Hyperscalers 505.41 +1.97%+1.14%+1.91%+1.30% -20.70% -13.42% print record
AMZN Hyperscalers 253.54 -1.26%-1.92%-4.37%+10.26% -11.74% -4.46% print record
GOOGL Hyperscalers 349.39 +3.22%+3.23%+0.87%+45.55% +23.55% +30.83% print record
META Consumer-AI 665.60 +2.71%+7.92%+11.87%-11.15% -33.15% -25.87% print record
AAPL Consumer-AI 333.08 +0.24%+4.10%+9.11%+45.07% +23.07% +30.35% print record
NVDA Supplier 210.96 -3.36%-8.32%-6.36%+19.22% -2.78% +4.50% print record

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

Close 144.79 1D -3.65% · 1W -8.81% · 1M -7.32% · 1Y -52.60%
Below the Sep-2025 high -55.40% high 324.63 on 2025-09-10 — the deepest drawdown in the complex
1M realized vol 49.2% cohort median 25.7% — 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 709.18 -0.80%-1.36%-3.13%+22.00%
SPY 760.88 -0.45%-1.21%-2.19%+16.98%
SOXX 497.40 -5.63%-4.32%-9.69%+95.82%
XLK 184.28 -1.81%-1.60%-3.40%+36.68%
IGV 106.64 +5.04%+1.98%+0.34%-5.11%
MAGS · the foil 70.10 +0.30%+0.95%+2.35%+14.72%

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 Closelook 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. Closelook publishes research, not investment advice.

FAQ · from the current data · as of 2026-09-14

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 14, 2026.

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

As of Sep 14, 2026, the equal-weight Hyperscalers ÷ Consumer-AI ratio moved +4.02% over the trailing year (1D +0.42%, 1M -9.60%). 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 14, 2026, the strongest 1-year performer among the Six is GOOGL at +45.55%, and the weakest is META at -11.15%.

Where does MAGS trade relative to its key levels?

MAGS closed at 70.10 as of Sep 14, 2026, which is -0.86% from the 69.50 supply shelf, -10.76% from the 62.56 pivot, and -20.11% from the ~56 trendline.

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

As of Sep 14, 2026, ORCL's one-month realized volatility was 49.2%, versus a cohort median of 25.7% — the most volatile seat at the table. ORCL is -55.40% below its Sep-2025 high of 324.63 (set 2025-09-10).