Theme · AI Semis Layer 3 Bucket A · Tier A Conviction · MEDIUM

Lam Research

NASDAQ:LRCX

Structural picks-and-shovel position in the AI Semis supply chain, Layer 3. Tier A conviction with research from AI Master Research.

Today's technical signal Scan · 24 May · NASDAQ
Hold
RSI 1463.6
MACD Hist+0.36
Vol Ratio
2×ATR Stop
EMA Cloud
$305.35 +1.03% Last scan 24 May
Two-Layer Verdict
Structural
BUY · structural picks-and-shovel position in the AI / Physical AI supply chain.
Tactical
HOLD.
Hold core position. Re-add at 34/50 EMA on any meaningful pullback.
Live price
$305.35
+1.03%
Theme
AI Semis
Layer 3
Conviction
MEDIUM
Tier A
RSI 14
63.6
% return
Not held
2×ATR stop
Tactical stop
52-WEEK RANGE +0.0% from high
$80.79
$305.35
Fwd P/E38.5
Trail P/E57.8
EV/EBITDA48.5
Mkt Cap$381.86B
Beta1.82
★ Deep dive · AI Master Research · Tier A

The full 10-section Photoncap on Lam Research.

What it physically does · the financial print · customer mix · competitive context · terminal risk · bull case · gap/bear case · optionality · the trade. ~2,122 words. Source: AI Master Research.

2,122 words Tier A AI Master Research
— Live chart · TradingView · Candlestick · 50/200 EMA + Volume —
● Live · NASDAQ:LRCX
03 · 04Top-level analysis

What LRCX physically does — preview.

One-paragraph version of the Photoncap deep dive. Read the full essay for the complete treatment.

From AI Master Research

The thesis — preview.

Lam Research owns the etch and deposition franchise that physically makes HBM through-silicon vias and 3D NAND stacks — the two highest-growth equipment lines in the cycle — and the Q3 FY26 record print plus the SK Hynix / Samsung HBM TSV capacity ramp through 2027 makes this the equipment-pair-trade alongside KLAC. Lam makes the plasma-etch tools (the Kiyo, Flex, and Versys lines for conductor and dielectric etch) and the deposition tools (Striker ALD, Vector PECVD, ALTUS tungsten CVD) that perform two specific operations in semiconductor manufacture: removing precisely-defined volumes of material from the wafer surface (etch) and laying down precisely-controlled thin films of material on the wafer surface (deposition). At leading-edge nodes these steps run hundreds of times per wafer, and the binding-constraint volume for AI memory specifically comes from two product lines.…

Read the full essay →
★ Tier
Tier A. Highest conviction — buyable now subject to risk hygiene.
Source attribution
AI Master Research · 2,122 words. Institutional PDF available.

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