GOOG 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for GOOG, made 2026-09-29: expected range $331.00 to $338.50 at 70% confidence. Settled at $347.62: direction called incorrectly, score 12.5.
| 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 | $335.63 |
| Price the model reported | $335.82 |
| Expected range | $331.00 to $338.50 |
| Confidence | 70% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $347.62 |
| Traded range in the window | $335.12 to $348.65 |
| Result | Direction called incorrectly |
| Score | 12.5 of 100 |
The model's reasoning
(1) What I found, and where: As of 11:30 AM EDT on September 29, 2026, I found GOOG trading at $335.82 via financial quote feeds from Google Finance and Digrin. I also sourced recent market commentary from The Economic Times (published September 28) detailing a broader Wall Street tech selloff driven by soaring bond yields.
(2) The current market regime as I read it: The market is in a risk-off regime for large-cap tech. Yields are surging, with the 10-year Treasury yield reportedly crossing 5.26%, pressuring growth multiples and leading to cross-sector selling in mega-cap technology names despite their recent momentum.
(3) Price range justification, with the levels and volatility you are using: I am using a 1-day range of $331.00-$338.50, anchored to the current price of $335.82. This range reflects a bearish tilt, allowing room for continued downward pressure toward the $330 support zone if the broader Nasdaq selloff persists, while capping upside resistance near the previous day's close of $339.16.
(4) Scheduled or likely catalysts inside the window: The primary catalysts over the next 24 hours will be intraday bond market action and any statements from Federal Reserve officials. Continued volatility in the 10-year and 30-year Treasury yields will closely dictate algorithmic trading flows for GOOG and its mega-cap peers.
(5) The strongest counter-argument, and what would invalidate your call: The strongest counter-argument is that Alphabet's robust balance sheet and ongoing AI infrastructure investments make it an attractive "buy the dip" candidate for institutional capital. A sudden retreat in Treasury yields could immediately invalidate the bearish momentum and spark a relief rally above $340.
(6) Why your confidence is the number it is: My confidence is 70%. The negative correlation between rising Treasury yields and tech stock valuations is currently dominating market flows, providing a clear directional headwind. However, forecasting 1-day equity movements carries inherent uncertainty due to potential intraday reversals and macroeconomic headline risks.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Muse Spark 1.1 | $331.00 to $340.00 | 58% | No directional call | 46.5 |
| Perplexity | $333.50 to $340.00 | 51% | Direction called correctly | 70.5 |
| Grok 4.5 | $332.00 to $343.00 | 40% | No directional call | 48.3 |
| Claude Sonnet 5.5 | $333.50 to $346.00 | 40% | No directional call | 39.1 |
| DeepSeek | $333.50 to $346.50 | 56% | Direction called correctly | 75.5 |
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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