GOOG 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for GOOG, made 2026-09-25: expected range $337.00 to $344.00 at 60% confidence. Settled at $337.89: no directional call, score 54.2.
| Asset | GOOG |
|---|---|
| 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 | $340.38 |
| Price the model reported | $340.35 |
| Expected range | $337.00 to $344.00 |
| Confidence | 60% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $337.89 |
| Traded range in the window | $336.60 to $342.38 |
| Result | No directional call |
| Score | 54.2 of 100 |
The model's reasoning
(1) Data acquisition: Live pricing sourced via Google Search from NASDAQ and Twelve Data shows GOOG trading at $340.35 as of 15:16 UTC on September 25, 2026. The stock has been trading with relative intraday stability following a volatile prior week.
(2) Market regime: The current market environment for large-cap tech reflects cautious recovery and consolidation. The stock has been oscillating near its moving averages, with buyers stepping in around the $335 support zone, indicating mild bullish conviction following the mid-September pullback.
(3) Price range: The 1-day price range of $337.00-$344.00 is anchored to recent daily volatility patterns. The $337 level serves as a nearby structural support floor established over recent sessions, while overhead supply near $344 caps immediate upside momentum.
(4) Catalysts: There are no major company-specific scheduled catalysts within the 24-hour window, as Alphabet's next earnings report is anticipated in late October. Price action will likely be driven by broader tech index flows and typical Friday afternoon positioning.
(5) Counter-argument: The primary risk to this mild bullish view is general market de-risking ahead of the weekend. A sudden macroeconomic headline or algorithmic sell program could push the stock below its recent $335 support base, which would invalidate the upward bias.
(6) Confidence: Confidence is placed at 60% because single-day forecasting-especially heading into a weekend without fresh fundamental catalysts-is heavily subjected to random market noise and passive flow rather than structural momentum.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $332.00 to $348.00 | 55% | Direction called incorrectly | 31.3 |
| Perplexity | $335.00 to $344.00 | 50% | No directional call | 53.4 |
| Grok 4.5 | $330.00 to $347.00 | 40% | No directional call | 52.0 |
| Claude Opus 5.5 | $328.50 to $347.50 | 55% | No directional call | 52.6 |
| DeepSeek | $337.00 to $346.00 | 58% | No directional call | 53.8 |
| Muse Spark 1.1 | $336.00 to $349.00 | 60% | Direction called incorrectly | 30.6 |
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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