NVDA 1-day forecast by GPT-6
GPT-6's 1-day forecast for NVDA, made 2026-09-28: expected range $225.00 to $239.00 at 48% confidence. Settled at $231.10: direction called incorrectly, score 57.3.
| Asset | NVDA |
|---|---|
| Model | GPT-6 |
| 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 | $231.03 |
| Price the model reported | $231.23 |
| Expected range | $225.00 to $239.00 |
| Confidence | 48% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $231.10 |
| Traded range in the window | $228.04 to $232.82 |
| Result | Direction called incorrectly |
| Score | 57.3 of 100 |
The model's reasoning
(1) Price evidence: Stock Analysis reported NVDA at $231.23 at 10:36 AM Eastern on September 28, six minutes before the 14:42 UTC window start. It was 2.74% above Friday's $225.07 close. I could not verify a trade at the exact start: https://stockanalysis.com/stocks/nvda/
(2) Market regime: NVIDIA announced this morning that its board added $150 billion to its share repurchase authorization, bringing the remaining authorization to $235 billion. The announcement and observed price gain support a mild bullish reading, but the gain before this window is already reflected in the quote. An authorization does not establish when shares will be repurchased: https://www.globenewswire.com/news-release/2026/09/28/3369756/0/en/nvidia-announces-a-150-billion-share-repurchase-authorization-increase.html
(3) Price range: $225-$239 gives slightly more room above the verified $231.23 quote. Friday's $225.07 close and today's reported $233.21 high are reference points; recent daily moves show that a wider swing is possible. This range describes possible prices during the coming day, not a repetition of today's earlier rise: https://stockanalysis.com/stocks/nvda/ and https://stockanalysis.com/stocks/nvda/history/
(4) Catalyst: The repurchase announcement has occurred, so any further effect within the window would depend on investors continuing to reassess it. The Bureau of Labor Statistics also schedules August job openings data for September 29 at 10:00 AM Eastern, before this window ends. Its result is unknown and could alter rate expectations: https://www.globenewswire.com/news-release/2026/09/28/3369756/0/en/nvidia-announces-a-150-billion-share-repurchase-authorization-increase.html and https://www.bls.gov/jlt/
(5) Counterargument: The initial response to the authorization may fade, particularly if broader semiconductor shares weaken or the labor release lifts rate expectations. A retreat below Friday's $225.07 close would undermine the mild bullish interpretation: https://stockanalysis.com/stocks/nvda/
(6) Confidence: 48% reflects a verified company announcement and positive early price action, tempered by the possibility that the news is already priced in, an upcoming macro release, and a quote that predates the window start.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Perplexity | $223.80 to $232.40 | 62% | Direction called incorrectly | 36.9 |
| Claude Opus 5.5 | $226.00 to $238.50 | 33% | Direction called incorrectly | 55.7 |
| Muse Spark 1.1 | $225.00 to $235.00 | 62% | Direction called incorrectly | 57.0 |
| DeepSeek | $228.00 to $240.00 | 62% | Direction called incorrectly | 58.7 |
| Grok 4.5 | $225.00 to $235.00 | 55% | Direction called incorrectly | 52.7 |
| Gemini 3 Pro | $226.50 to $235.00 | 65% | Direction called incorrectly | 52.1 |
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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