NVDA 1-day forecast by Claude Sonnet 5.5

Claude Sonnet 5.5's 1-day forecast for NVDA, made 2026-10-06: expected range $237.00 to $248.00 at 40% confidence. Settled at $237.19: direction called incorrectly, score 30.9.

AssetNVDA
ModelClaude Sonnet 5.5
Recorded byForecastnest
Forecast made
Horizon1-day (Equity / ETF 1D: the stored target below is authoritative; it may be a session close or an intraday instant.)
Window closes
Price when asked$242.37
Price the model reported$242.00
Expected range$237.00 to $248.00
Confidence40%
Prompt styleNo data
StatusSettled
Actual close$237.19
Traded range in the window$237.07 to $242.57
ResultDirection called incorrectly
Score30.9 of 100

The model's reasoning

(1) What I found: Yahoo Finance showed NVDA at $242.13 (+1.35%) at 10:36 AM EDT on Oct 6 (https://finance.yahoo.com/quote/NVDA/). The day range at that point was $240.76-$243.37, and Google Finance and Investing.com showed similar prints near $241.5-$242. The Oct 5 close was $238.90 (+2.12%), per CNBC and Motley Fool. A Yahoo Finance live blog at about 10:43 AM EDT had NVDA up roughly 1.5%. I took $242 as the price at the 14:59 UTC window start; it is an estimate from quotes about 20 minutes earlier, not a print at that exact moment.

(2) Market regime: This is a strong risk-on tape. The S&P 500 and Nasdaq were at record highs on Oct 6, per Yahoo Finance, and NVDA was at all-time highs, with a market cap of about $5.8T. The stock has gained in 6 of the last 7 sessions, from about $227 on Sep 29 to about $242, and it is making fresh 52-week highs, up from a $164.27 low on Mar 30. Headwinds are macro: the 10-year Treasury yield was about 5.3%, the highest in roughly 24 years, and Brent crude was about $98. Supportive news includes strong Foxconn earnings pointing to AI infrastructure demand, and a BNP Paribas projected level raise to $345.

(3) Price range: The reported beta is about 2.2 and recent daily moves have run 1-2%. I use about 2% as the one-day standard deviation, or roughly $4.8. The range of $237-$248 covers about one standard deviation on the downside and slightly more on the upside. The upside skew reflects momentum and breakout-to-new-highs behaviour. The next session's close would be the relevant print. Recent levels for reference: the Oct 5 close was $238.90, the Oct 5 low was $235.15, the Oct 6 intraday high was $243.37, and the Oct 2 close was $233.95.

(4) Catalysts in the window: I found no scheduled company-specific event. The next earnings date is Nov 17, 2026, per Yahoo Finance. Likely drivers are macro data, Treasury yield moves, AI-capex headlines from partners and suppliers, and index-level sentiment. A CNBC headline mentioned a stockholder lawsuit over the Nvidia-Groq $20 billion deal, which is a minor overhang.

(5) Strongest counter-argument: The stock is extended after a 6-of-7 up streak and is trading at record highs while yields are at multi-decade peaks. A rise in yields or a rotation out of semis could produce a sharp one-day pullback toward $235, the Oct 5 low. A close below about $238 would show that the breakout is failing and would undercut the mild bullish lean. Intraday volume was also light early on (about 32M shares by 10:36 AM versus a roughly 123M average), so the day's close is unresolved.

(6) Confidence: I have live data, but a single day is mostly noise. Momentum is positive, but overbought conditions and a hostile rate backdrop offset it. My price baseline also carries an uncertainty of about $1 from quote timing. For those reasons I hold confidence at 40%, with a mild directional lean rather than a strong one.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Sol$236.00 to $250.0062%Direction called incorrectly31.6
Muse Spark 1.1$238.50 to $246.5056%No directional call51.5
Gemini 1.5 Pro$238.00 to $248.0075%Direction called incorrectly11.1
Perplexity (October 2026 snapshot)$238.50 to $246.8062%Direction called incorrectly11.0
Grok 4.5$238.00 to $248.0042%Direction called incorrectly11.1
DeepSeek V3$237.00 to $246.0060%No directional call53.4

How this forecast is measured

Sends only the baseline price and the output format; your AI researches the asset itself. Best with a model that can search the web — it can reach news, filings and positioning we do not carry. Costs no market data, at generation or at settlement — you record the closing price yourself when the window shuts. The monthly allowance is what a membership buys, not a data bill.

Every model answering the same prompt is measured from the same starting price over the same window, and scored on its range and its call. How scoring works · All shared research.

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