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$NVDA NVIDIA
$204.64 -4.22% Oct 30, 11:45 PM UTC
Trend: NeutralEntry: NeutralRelative strength: DeterioratingRisk: Normal
ATR 2.8% · 1Y DD 20% · 1 dist day · 15 gaps · earnings ~24d
The picture is mixed — the stock is oscillating around its key levels without committing in either direction. The market hasn't made up its mind. The stock is lagging the S&P 500, meaning investors would have earned better returns simply owning the index. The first area where sustained buying would suggest the trend is firming up is $222-$223, near the 50-day and what post-earnings buyers paid. The level to watch is the 200-day average at $205 — reclaiming it with conviction would confirm the trend is improving.
Key Statistics
Open$208.88
High$209.05
Low$200.92
Prev Close$213.66
Mkt Cap$4941.44B
Volume165.92M
Avg Vol99.25M
P/E (TTM)29.2
52-wk High$243.37
52-wk Low$164.08
Beta1.93
EPS (TTM)7.01
Latest Signals
Analyst Call & Thesis
Latest Call
As of Oct 30, 2026 · Ref $213.66 · Current $204.64
Buy · Base Target $208 (+2%)
$NVDA — BUY | 6 MONTHS THESIS Adj EPS $2.22 vs $2.09 (+6.1%) | GAAP EPS $2.47 | Revenue: $96.2B Expectations gap: Two-sided, and that is the point. The bear case now embedded in the tape is about 2027-28 capex durability, vendor financing, and custom-ASIC insourcing - none of which can be disproven or confirmed by the November print. The bull gap is narrower and nearer: the $108B FQ3 guide assumes $0 China and 74% gross margin, so the setup is 'beat-and-raise on a zero-China base' with China as a free option, and the CFO's ~$1.3T 2027 hyperscaler capex framework sits above where consensus
Bear $172Base $208Bull $235Confidence 50

$NVDA — BUY | 6 MONTHS THESIS

Adj EPS $2.22 vs $2.09 (+6.1%) | GAAP EPS $2.47 | Revenue: $96.2B

Expectations gap: Two-sided, and that is the point. The bear case now embedded in the tape is about 2027-28 capex durability, vendor financing, and custom-ASIC insourcing - none of which can be disproven or confirmed by the November print. The bull gap is narrower and nearer: the $108B FQ3 guide assumes $0 China and 74% gross margin, so the setup is 'beat-and-raise on a zero-China base' with China as a free option, and the CFO's ~$1.3T 2027 hyperscaler capex framework sits above where consensus FY28 revenue (~$440-460B) implies. Cheapest part of the gap: at ~17x FY28E EPS, the market is pricing in a deceleration to ~20-25% growth AND margin compression simultaneously; only one of those is likely to be true in any given year. Where I could be wrong: if the October selloff is early recognition that hyperscaler capex intensity (25-30% of revenue, trending toward 35%) is unsustainable, then 17x is the right price, not a discount, and the multiple keeps compressing even as EPS grows - the Cisco 2000 pattern.

Business quality: 9/10

Valuation: At $213.66 and $5.2T market cap: ~21-22x annualized FQ2 FY27 net income ($59.7B in the quarter), ~17x a FY28E non-GAAP EPS of ~$12.50 (FY27E ~$9.50), ~13-14x FY28E sales on ~$380-400B revenue. Quant screen shows PE percentile 46 vs sector - i.e., NVDA is at the median of Information Technology on trailing PE while growing far faster than the median, which is the single most supportive quantitative datapoint here. Versus its own history, a low-20s forward multiple is a clear discount to the ~30x+ 5-year median forward P/E, and part of that discount is deserved (larger base, China at zero, customer concentration, capex-cycle risk). So: inexpensive relative to its own history and to its growth rate on a PEG basis; not inexpensive relative to a bear case in which FY28 is the revenue peak. The market is paying roughly $5.2T for ~$240B of current annualized earnings power - you are not being asked to underwrite a heroic terminal multiple, only that earnings do not roll over in the next two quarters.

Reference class: Mega-cap AI infrastructure/semis at mid-to-late cycle with accelerating near-term estimates - comparable to memory and semicap leaders in accelerating capex upcycles and, as the cautionary analog, Cisco 1999-2001 where earnings kept growing while the multiple halved. Base rate: large caps growing revenue >50% with ~20x forward earnings have historically outperformed over 6-12 months, but peak-capex-cycle hardware names de-rate 2-4 quarters BEFORE revenue peaks, so earnings beats alone are not sufficient - gross margin trajectory and hyperscaler capex guides are the de-rating triggers to watch.

Catalyst: Primary: FQ3 FY27 earnings ~Nov 18-19, 2026. Success metrics: revenue >= $108B (guide), FQ4 FY27 guide >= ~$120B, non-GAAP gross margin >= 73.5%, and any China data-center revenue reinstated on top of guidance. Secondary: Q4 FY27 report ~late Feb 2027; GTC ~March 2027 (Vera Rubin ramp commentary); hyperscaler Q4 capex guides in late Jan/early Feb 2027; DOJ decision on the $12.93B Hugging Face deal (a break is a ~$13B cash item against a $5.2T cap - immaterial financially, mildly negative for sentiment). Failure signal: FQ4 guide below ~$115B, gross margin below 73%, or any top-4 hyperscaler trimming 2027 capex on its own call.

Entry: $213.66, stop $193.0, target $258.0

Reward/risk: 2.1:1

Sizing: Initial 2.5-3.0% of NAV at $208-214, scaling to a 5% maximum only after an FQ3 beat-and-raise confirms the guide. Halve the position into the print if implied 1-week options volatility exceeds ~8-9%, given gap risk on a $5.2T name. Cap at 5% because correlation to the AI-infrastructure complex and index beta is effectively a single factor bet; hedge with QQQ/SMH puts if total AI exposure across the book exceeds ~20%.

Invalidation: Thesis is void if: (a) NVDA closes below $193 (breaks the September swing-low structure near $191 and signals the de-rating is broadening rather than a pullback); (b) FQ3 revenue misses $108B or the FQ4 guide comes in below ~$115B; (c) non-GAAP gross margin drops below 73% on a sustained basis; (d) any top-4 hyperscaler explicitly guides 2027 capex down or discloses large-scale substitution to in-house ASICs; (e) DOJ seeks to block Hugging Face AND opens a conduct case that constrains customer-investment practices. Any one of (b)-(d) and I exit rather than average down.

Buy NVDA as a 6-month long, sized modestly, entry ~$212, stop $193, target $258 (2.4:1 reward/risk). The setup is that the November quarter is already de-risked on the two items the bears cite: guidance assumes zero China revenue and management pre-announced a 74% gross margin, so the bar for a beat-and-raise is a normal quarter, not a heroic one. At ~17x FY28E EPS with 66% operating margins, you are not paying a bubble multiple for triple-digit near-term growth - but you ARE paying up for a capex cycle whose 2027 durability is unknowable from here, which is why this is a Buy with a 6 confidence, not a Strong Buy. The honest framing: the near-term print is favorable, the 12-24 month picture is genuinely two-sided, and the stock is in a downtrend off $239 that may not be finished. Trade the two catalysts inside the window (FQ3 ~Nov 18-19, FQ4 ~late Feb), take profits into strength toward $250-258, and exit on any hyperscaler capex cut or a break of $193 rather than reasoning that a great company must be a great stock at any price.

Related Prediction Markets
Market-implied odds from Kalshi. Event/KPI markets, not price bets.
Will the monthly average compute price of NVIDIA's RTX 5090 be above $0.25 in December 2026?~98%
KXRTX5090MS-26DEC-0.250yes 97¢ / 100¢resolves in ~9w
LiquidOI 10.1k
Will the monthly average compute price of NVIDIA's H100 be above $3.75 in July 2027?~52%
KXH100MS-27JUL-3.750yes 6¢ / 99¢resolves in ~9mo
ThinOI 9.8k
Will the monthly average compute price of NVIDIA's H100 be above $4.00 in July 2027?~14%
KXH100MS-27JUL-4.000yes 3¢ / 24¢resolves in ~9mo
ThinOI 8.1k
Will the monthly average compute price of NVIDIA's H200 be above $6.50 in January 2027?~12%
KXH200MS-27JAN-6.500yes 1¢ / 22¢resolves in ~3mo
ThinOI 3.1k
Will the monthly average compute price of NVIDIA's RTX 5090 be above $2.00 in December 2026?~3%
KXRTX5090MS-26DEC-2.000yes 0¢ / 5¢resolves in ~9w
ThinOI 3k
About NVIDIA
NVIDIA Corporation operates as a data center scale AI infrastructure company in the United States, Taiwan, China, Hong Kong, Europe, and internationally. It operates through Compute & Networking, and Graphics segments. The Compute & Networking segment provides data center accelerated computing and networking platforms and artificial intelligence solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment offers GeForce GPUs for gaming and PCs; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.