GOOG 1-day forecast by Gemini 3 Pro
Gemini 3 Pro's 1-day forecast for GOOG, made 2026-10-16: expected range $333.50 to $343.50 at 58% confidence. Settled at $340.17: direction called correctly, score 81.4.
| 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 | $337.84 |
| Price the model reported | $337.40 |
| Expected range | $333.50 to $343.50 |
| Confidence | 58% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $340.17 |
| Traded range in the window | $335.50 to $342.52 |
| Result | Direction called correctly |
| Score | 81.4 of 100 |
The model's reasoning
(1) Market regime: Alphabet Inc. (GOOG) is trading in a consolidated range between $332.00 and $355.00 over the last 20 trading sessions, sitting near the lower end of its monthly bracket following intraday softness across mega-cap technology equities.
(2) Technical synthesis:
Daily OHLCV (oldest to newest):
- 2026-10-09: Open $348.00, High $351.06, Low $346.88, Close $347.86, Volume 11,142,900
- 2026-10-12: Open $348.34, High $352.66, Low $347.16, Close $348.97, Volume 11,854,200
- 2026-10-13: Open $352.42, High $354.50, Low $347.57, Close $349.52, Volume 14,445,100
- 2026-10-14: Open $351.43, High $355.25, Low $342.40, Close $343.65, Volume 20,106,400
- 2026-10-15: Open $340.53, High $348.40, Low $336.82, Close $344.91, Volume 16,392,600
Context statistics:
- return_5d_pct: -0.85% (from Oct 8 close of $344.86 to Oct 15 close of $344.91, +0.01% baseline; 5-session change from Oct 9 close $347.86 is -0.85%)
- high_20d: $359.98 (Sep 22, 2026)
- low_20d: $332.65 (Oct 01, 2026)
- avg_volume_20d: 16,160,000 shares
Sources and conventions:
- Data sourced from NASDAQ via Google Finance structured feed (https://www.google.com/finance) and Twelve Data daily series (https://twelvedata.com/markets/880619/stock/nasdaq/goog/historical-data). Prices are split-adjusted USD OHLC, volume in shares, regular session 09:30-16:00 EDT.
(3) Intraday evidence at answering time:
- PARTIAL SESSION (2026-10-16 as-of 17:16:18 UTC / 13:16:18 EDT):
- latest_price: $337.40 USD
- quote_time: 2026-10-16T17:16:18Z
- source URL: https://www.google.com/finance
- quote status: live regular-session trading
- session metrics: Open $344.30, High $346.60, Low $337.30, Cumulative Volume 7,027,841 shares (relative volume lower than half daily average at mid-day).
- price path before event/reaction: Previous close was $344.91 on Oct 15. Observed event-to-quote move: -2.18% intraday decline from previous close.
(4) Price range justification & catalysts: The forecast window spans 1 calendar day ending 2026-10-19 17:16 UTC (covering the Oct 16 session close and Oct 19 morning trading). Key support rests at the 20-day low of $332.65, with upside cap near the 5-day high of $348.40. Expected price boundary over the remaining window is anchored at $333.50 to $343.50 as the intraday drop retests lower support bounds before Q3 earnings anticipation.
(5) Counter-evidence & invalidation: Strong institutional buying could spark an immediate late-day mean reversion back toward $344.00+. The thesis is invalidated if GOOG breaks decisively below $332.00 on expanding volume (>25M shares) or reclaims and closes above $346.50.
(6) Confidence assessment: Confidence is set at 58% due to short-horizon market noise and weekend holding risk over the 1-day forecast window.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| Perplexity | $325.00 to $348.00 | 45% | Direction called incorrectly | 30.9 |
| Muse Spark 1.1 | $333.00 to $348.00 | 52% | No directional call | 52.8 |
| Grok 4.5 | $334.00 to $346.00 | 42% | Direction called correctly | 78.8 |
| GPT-6 | $329.00 to $344.00 | 54% | Direction called incorrectly | 31.3 |
| DeepSeek | $335.00 to $355.00 | 60% | Direction called incorrectly | 48.4 |
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.