NVDA 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for NVDA, made 2026-09-25: expected range $221.00 to $228.00 at 60% confidence. Settled at $230.49: no directional call, score 49.9.
| Asset | NVDA |
|---|---|
| Model | Gemini 1.5 Pro |
| 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 | $224.53 |
| Expected range | $221.00 to $228.00 |
| Confidence | 60% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $230.49 |
| Traded range in the window | $223.31 to $233.21 |
| Result | No directional call |
| Score | 49.9 of 100 |
The model's reasoning
(1) Live pricing sourced via Google Search from TradingView and NASDAQ data (https://www.tradingview.com/symbols/NASDAQ-NVDA/) places NVDA at $224.53 as of 15:10 UTC on September 25, 2026. The stock has remained bound within a $215-$230 range throughout the latter half of the month.
(2) The current market regime reflects high-level consolidation. Tech equities are holding near recent highs, but buyers are showing mild exhaustion, preferring to range-trade rather than push for immediate breakouts without fresh fundamental data.
(3) The 1-day price range of $221.00-$228.00 is justified by recent intraday volatility. Support is well-established near $221, a level that has attracted buyers repeatedly this week, while overhead supply near $228 caps short-term upside momentum.
(4) There are no major scheduled catalysts within the immediate 24-hour window, particularly as the market moves into the weekend. Price action will likely be dictated by broader index flows and standard Friday afternoon positioning.
(5) The strongest counter-argument to this consolidation view is a sudden macro shock or weekend headline risk that could gap the stock below the $220 floor by Monday's open, invalidating the mild bullish stance.
(6) Confidence is set at 60% because single-day forecasts, especially those leading into a weekend close, are heavily subjected to random flow noise rather than structural fundamental shifts.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $220.00 to $231.00 | 57% | Direction called correctly | 81.0 |
| 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.
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