NVDA 1-day forecast by GPT-5.6 Sol
GPT-5.6 Sol's 1-day forecast for NVDA, made 2026-09-25: expected range $220.00 to $231.00 at 57% confidence. Settled at $230.49: direction called correctly, score 81.0.
| Asset | NVDA |
|---|---|
| Model | GPT-5.6 Sol |
| 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 | $224.35 |
| Price the model reported | $224.54 |
| Expected range | $220.00 to $231.00 |
| Confidence | 57% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $230.49 |
| Traded range in the window | $223.31 to $233.21 |
| Result | Direction called correctly |
| Score | 81.0 of 100 |
The model's reasoning
(1) What I found: StatMuse reported NVDA's latest price at approximately $224.54 on September 25, while Yahoo Finance showed the September 24 regular-session close at $224.58 after a $221.09-$224.94 range. I therefore use $224.54 as the best available price near the 15:10 UTC baseline, but label data access partial because the retrieved quote did not expose an exact 15:10 UTC timestamp. :chatgpt-content-reference{index=
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Gemini 1.5 Pro | $221.00 to $228.00 | 60% | No directional call | 49.9 |
| Perplexity | $220.00 to $228.00 | 48% | Direction called incorrectly | 11.0 |
| Grok 4.5 | $220.00 to $229.00 | 42% | No directional call | 50.5 |
| Claude Opus 5.5 | $218.50 to $231.50 | 55% | No directional call | 52.5 |
| Muse Spark 1.1 | $221.50 to $228.50 | 56% | Direction called correctly | 77.1 |
| DeepSeek | $222.00 to $232.00 | 62% | Direction called correctly | 82.1 |
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.
ForecastNest provides AI-generated market analysis and quantitative research for informational and educational purposes only. Nothing here constitutes financial, investment, legal, or tax advice.