NVDA 1-day forecast by Grok 4.5
Grok 4.5's 1-day forecast for NVDA, made 2026-10-06: expected range $238.00 to $248.00 at 42% confidence. Settled at $237.19: direction called incorrectly, score 11.1.
| Asset | NVDA |
|---|---|
| Model | Grok 4.5 |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 1-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 | $242.42 |
| Expected range | $238.00 to $248.00 |
| Confidence | 42% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $237.19 |
| Traded range in the window | $237.07 to $242.57 |
| Result | Direction called incorrectly |
| Score | 11.1 of 100 |
The model's reasoning
(1) What you found, and where: Live quotes from Yahoo Finance as of ~11:00 AM EDT on 2026-10-06 show NVDA at $242.42 (+1.47% from prior close of $238.90), with intraday range $240.76-$243.37 and new 52-week high at $243.37. Multiple sources (CNBC, StockAnalysis, TradeSmith) confirm the same levels and volume. Recent news includes a $150B buyback authorization expansion (announced ~Sep 28), firm orders for next-gen Rubin GPUs, and commentary on AI demand sustaining a path toward $6T market cap. Earnings are scheduled mid-November (est. Nov 17-18).
(2) The current market regime as you read it: Short-term bullish momentum after a multi-day advance that reclaimed and extended prior highs. The stock is trading near the upper end of its recent range with positive breadth in semis and megacap tech. Volatility remains elevated (recent daily moves 1-2%+, ATR historically ~$5-6), but the immediate tape shows buyers defending the prior close and pushing into new highs on solid volume.
(3) Price range justification, with the levels and volatility you are using: Anchored to the live $242.42 print. A one-day window typically captures roughly 0.8-1.5× recent ATR. Downside support sits near the prior close / open cluster ($238-$240); upside extension toward $246-$248 would represent a continuation of the current breakout pace without requiring an outsized gap. The range is modestly skewed higher to reflect the prevailing directional bias rather than a symmetric noise band.
(4) Scheduled or likely catalysts inside the window: No company-specific events (earnings, product launches, or major conferences) fall inside the next 24 hours. Broader market factors-Treasury yields, general risk appetite, and any incremental AI/data-center headlines-remain the main potential drivers. The recent buyback authorization provides a structural bid but is not a discrete near-term trigger.
(5) The strongest counter-argument, and what would invalidate your call: Momentum at all-time highs can reverse sharply on profit-taking or a risk-off macro shift; a break below $238-$239 on rising volume would signal the short-term advance has stalled and open a deeper pullback. Elevated positioning and the stock’s high beta amplify any sudden change in sentiment.
(6) Why your confidence is the number it is: One-day equity forecasts are inherently noisy. The directional lean rests on clear recent price action and supportive news flow, but the absence of a discrete catalyst and the stock’s proximity to fresh highs leave substantial room for mean-reversion or random noise, keeping confidence modest at 42%.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $236.00 to $250.00 | 62% | Direction called incorrectly | 31.6 |
| Muse Spark 1.1 | $238.50 to $246.50 | 56% | No directional call | 51.5 |
| Gemini 1.5 Pro | $238.00 to $248.00 | 75% | Direction called incorrectly | 11.1 |
| Perplexity (October 2026 snapshot) | $238.50 to $246.80 | 62% | Direction called incorrectly | 11.0 |
| Claude Sonnet 5.5 | $237.00 to $248.00 | 40% | Direction called incorrectly | 30.9 |
| DeepSeek V3 | $237.00 to $246.00 | 60% | No directional call | 53.4 |
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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