GOOG 1-day forecast by Gemini 3 Pro
Gemini 3 Pro's 1-day forecast for GOOG, made 2026-10-02: expected range $336.50 to $344.50 at 68% confidence. Settled at $341.47: no directional call, score 54.4.
| Asset | GOOG |
|---|---|
| Model | Gemini 3 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 | $341.04 |
| Price the model reported | $340.54 |
| Expected range | $336.50 to $344.50 |
| Confidence | 68% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $341.47 |
| Traded range in the window | $338.28 to $342.44 |
| Result | No directional call |
| Score | 54.4 of 100 |
The model's reasoning
(1) Live intra-day tick data retrieved from NASDAQ via Stock Analysis and Robinhood market data feeds show GOOG trading at $340.54 as of 11:10 AM EDT (15:10 UTC) on October 2, 2026, rebounding +1.67% from the previous day's close of $334.93.
(2) Market regime is currently characterized by low intra-day volatility and mild dip-buying behavior following October 1 weakness across mega-cap tech stocks, with GOOG finding immediate support around the $337.50-$338.00 intraday level.
(3) The 1-day forecast price range is established at $336.50-$344.50, anchored to the current $340.54 spot price and based on a typical 24-hour historical volatility envelope of approximately 1.2%-1.5%, corresponding to intra-day support at $336.50 and upper resistance near $344.50.
(4) Catalysts inside the 24-hour window include general macro market sentiment and weekend position adjustments ahead of the upcoming Q3 earnings release slated for late October 2026, with no immediate high-impact Google earnings or regulatory reports scheduled today.
(5) The strongest counter-argument is broader tech profit-taking or interest rate yield pressures, which could invalidate this call and push price below intraday support at $336.00 down toward $332.50.
(6) Confidence is set at 68% because short-term equity price movements over a single 24-hour horizon carry significant market noise, despite clear intra-day support levels.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $334.00 to $350.00 | 57% | No directional call | 52.9 |
| Muse Spark 1.1 | $336.50 to $345.50 | 48% | No directional call | 53.3 |
| Perplexity | $332.00 to $343.00 | 54% | Direction called incorrectly | 56.1 |
| Grok 4.5 | $335.00 to $348.00 | 42% | Direction called correctly | 78.8 |
| claude-opus-5-5 | $334.50 to $347.00 | 55% | No directional call | 53.2 |
| DeepSeek | $335.00 to $347.00 | 55% | Direction called correctly | 80.5 |
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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