The defining capital event of this decade is the build-out of artificial intelligence, and the
benchmarks everyone owns are not built to track it. The S&P and the Nasdaq are dominated by the
software-era winners and underweight the physical layer the AI cycle actually runs on. So we built
our own: ~100 equal-weighted companies that receive the AI capital-expenditure
spend: semiconductors and advanced packaging, semi materials and electronic chemicals, power
generation and the grid, cooling and thermal, optical networking, and the data-center build.
Nicknamed Silicon-to-Steel.
It is also a risk instrument. The AI trade does not correct like an ordinary bear market. It goes
vertical, stretches far past what earnings can support, and then gives it back in days rather than
months, driven by crowding and positioning rather than by any change in the
fundamentals. A handful of mega-caps can hold the headline index up while the supply chain underneath
is already unwinding, so the Nasdaq is no longer a good enough quality-momentum proxy to warn us ahead of
speed crashes. An equal-weight index of the companies actually receiving
the spend makes that fragility visible, and the instruments below are the clocks we watch on it.
Ten-Year Outperformance · indexed to 100 at Jan 2016 · total return
Each line is a $100 investment on 2 Jan 2016, total return, on a log scale so equal
vertical distances are equal percentage moves. The right-hand tag is the multiple on your money.
What it measures. The AI 100 against the funds you could actually have bought instead
(QQQ, SPY and the equal-weight S&P, RSP), against gold, and against the M2 money
supply. All rebased to 100 and total-return.
How to read it. Log scale: a straight line is steady compounding, a steepening line is
acceleration. The gap between the magenta line and the rest is the return you gave up by owning the
benchmark instead of the supply chain. Gold and M2 are the debasement yardsticks: gold is what
money runs to, M2 is how much of it there is, so anything below the M2 line has not really grown
at all once the unit of account is accounted for.
Why it matters. Benchmarks are backward-looking by design. They tell you who won the last cycle,
not who receives the marginal dollar in the next one. The software era rewarded margin capture; the AI
era rewards capital expenditure, and the receivers of that spend are the picks and shovels. This chart is
the evidence for that thesis, and the reason we track the theme on its own index rather than on the Nasdaq.
Daily-rebalanced equal weight; an index, not an investable product.
How to Read the Desk
The indexAre we winning the theme? ArcCount on the
chart above times exhaustion, buy setups below the bars, sell 13s above them.
CrowdingThe 50-day rate of change tells you how
fast the money arrived. Above +20% the trade is crowded; that is where speed crashes start.
StressRealized factor volatility pulling above
implied says the options market is underpricing what is happening underneath.
ParticipationBreadth rolling over while the index
still holds near highs is the classic tell: fewer and fewer names are carrying it.
The signal we act on is a combination: crowding high, and breadth thinning
underneath it. Either alone is noise; together they have preceded every speed crash in this theme.
Combined with ArcCount and the Arc Channel, the aim is to get ahead of at least two in three larger
setbacks and one in three speed crashes, enough to rotate defensive or into cash before the drawdown,
which is the difference between good and exceptional performance.
Range · all signal chartsMaximizing a single chart lets you override its range independently.
50-Day Rate of Change · Crowding
The index's 50-day percentage change. Above +20% the move is crowded; below −10% it is
washed out.
What it measures. How far the index has travelled over the last 50 trading days, the
speed of the move rather than its direction.
How to read it. The +20% line is the crowding threshold: above
it, the theme is absorbing money faster than fundamentals change, and positioning is doing the work. The
−10% line is washout: capitulation, historically where the theme has
paid to add rather than trim. What matters most is not the level but the roll-over, a peak above
+20 that turns down while breadth thins is the speed-crash setup.
Why it matters. Speed crashes are a positioning event, not an earnings event. They are invisible
in valuation and invisible in the headline index; they show up first as velocity. This is the fastest of
our three clocks and usually the first to move.
Breadth Participation · Health
Share of the ~100 constituents trading above their own 20-day (fast) and 200-day (slow)
moving averages.
What it measures. How many names are actually participating.
Fast is the share above their 20-day average (the short-term pulse);
slow is the share above their 200-day (the structural trend).
How to read it. Above 85% is overheated, nearly everything is extended at once, which is a
condition, not yet a signal. Below 30% is washed out. The warning is divergence: the index holding
near its highs while fast breadth rolls over means a shrinking group of names is carrying the theme.
Why it matters. This is the confirmation clock. Crowding tells you the trade is full; breadth tells
you it is starting to empty. Together they are the setup we act on, and because this index is
equal-weight, thinning shows up here that a cap-weighted benchmark would mask entirely.
Realized Volatility versus Implied Volatility · Stress
The index's own 20-day realized volatility and the same measure on an
equal-weight momentum/value/quality/beta composite, both against 30-day implied volatility.
What it measures. Three volatilities on the same 20 to 30 day horizon.
AI 100 realized is how violently the theme itself is actually moving.
Factor volatility is the same measure across momentum, value, quality
and high-beta positioning, so it reads the style complex rather than the theme.
Implied is what the options market is charging for the next month.
How to read it. The theme's own line sits structurally above the other two: an equal-weight basket
of high-beta supply-chain names is simply a more volatile thing than the broad market, so watch its
direction, not its level. On the other two the signal is the crossover: in calm regimes
implied sits above realized, because the market pays for protection it does not end up needing. When
factor volatility pulls above implied, positioning is being repriced rather than the market level.
Why it matters. This is the clock that catches damage the price line hides. Crowded factors tend
to unwind before the theme does, because the unwind starts inside the crowd and not at the headline, so
factor stress rising while the index is still calm is a warning about what comes next.
Signals & Regime · The AI 100 Model
The index with the model's pins: red SELL (the gated composite),
purple 13 (ArcCount exhaustion), green BUY (washout reversion), blue 9/13 (ArcCount buy).
The strip under the chart is the regime state.
How the signals are generated. Exhaustion first: we run ArcCount on the index's
own weekly and monthly bars, exactly as on any stock card. A single completed sell-13 is a
useful mark and is pinned in purple. A double, where the countdown-13 and the strict-13
complete on the same bar, is the highest-conviction exhaustion signal in the arc guide, so
weekly and monthly doubles are promoted to full red SELL pins in their own right.
The model adds one more: a weighted composite that fires when an ArcCount 13 lands
while the 50-day rate of change is above +20% and breadth is already dropping off
its recent peak.
The crowding gate is the whole trick: exhaustion in a calm tape is noise, exhaustion in a
crowded one is a speed crash forming. Buys are the mirror image: the green BUY needs
the rate of change to have washed out below −10% and then turn back up, with breadth
lifting off the floor and volatility rolling over, capitulation that has stopped getting worse, not a falling knife.
Why it matters. Speed crashes are positioning events. They do not announce themselves
in earnings, and the headline index hides them while a few mega-caps hold it up. These pins
are the moments the theme's own internals said the crowd was full.
How to read it. A red mark identifies the crowded end of the theme, the point at
which positioning is stretched rather than fundamentals broken. What is crowded and what
is not tend to separate from here; historically the uncrowded end has included defensives,
precious metals and cash. A green mark identifies the other end, where the rate of change
has normalised and volatility has come back in. The distance between the two is where the
theme’s own internals do most of their work.
Research and monitoring, not investment advice.
Supply-Chain Verticals · 14 equal-weight sub-indices · each range re-based to 100 at its start
Every one of the 14 supply-chain functions as its own equal-weight index,
all starting at 100 on the first day of the selected range. Switching range re-bases the chart,
so the ranking on screen is always the ranking over that window. Hover a line to name it. Use
the toggles below the chart to take crowded lines out of the way.
VerticalsClick a vertical to hide its line. Hover a line to name it. Multiples follow the selected range.
What it measures. The AI 100 broken into the 14 functions it is built from, each one
an equal-weight index of its own members. Every line starts at 100 on the first day of
whichever range is selected, so All measures from January 2016 and 1Y measures from a year ago.
Changing the range re-bases the chart rather than zooming into it, and that is the point: the
leaders and laggards of a window are only legible when the lines all set out from the same
place, instead of entering it wherever a decade of divergence had already left them. The left
scale is the index level, the right scale is the same thing read as cumulative gain since the
start of the range, and the scale is logarithmic, so equal vertical distances are equal
percentage moves. The multiple beside each name in the legend follows the range too.
How it is built. Money in at the start, split evenly across the vertical's members,
then held. "The start" means January 2016 in every range: a shorter window re-scales that
same basket's history so it opens at 100, it does not re-form the basket at equal weights on
that day. So 1Y reads as what the 2016 vintage of the vertical did over the last year,
drifted weights and all. A member that listed later (ARM, GEV, Palantir) joins on its first traded day at
the basket's average position size, funded from the existing holdings, so an addition moves
the line's future, never its level. Note this differs from the headline AI 100, which
rebalances back to equal weight daily. The verticals do not, deliberately: daily rebalancing
pays a volatility bonus that grows as the basket shrinks, which would have handed the
two-name Memory vertical a large advantage over the seventeen-name Materials vertical for
reasons that have nothing to do with the AI build-out.
How to read it. The ranking is the point. The spread between the top and the bottom
line is the cost of being right about the theme and wrong about where in the chain to stand:
every one of these companies receives AI capital expenditure, and they are still separated by
more than an order of magnitude. Watch where the lines change order, because that is
the bottleneck moving. Early in the cycle the scarce thing was logic and the design tools;
as the build-out turned physical the scarcity moved toward memory, the equipment that makes
it, then power, cooling and the grid. A vertical that steepens while the others flatten is
where the marginal dollar is going now.
Why it matters. The index tells you whether to be in the theme. This chart tells you
where in the theme, which is the larger decision. It is also the honest risk view:
the leaders here are the crowded end, so when the model turns defensive, this is the picture
of what has the most to give back.
Daily-rebalanced equal weight for the reference line, buy-and-hold equal weight for the
verticals. Indices, not investable products. Backup Energy & Storage starts in 2018, the
first day any of its members had listed.
Constituents · 100 names across 14 supply-chain functions