GOOG 1-day forecast by Gemini 3 Pro

Gemini 3 Pro's 1-day forecast for GOOG, made 2026-09-28: expected range $332.00 to $344.00 at 54% confidence. Settled at $335.98: no directional call, score 53.2.

AssetGOOG
ModelGemini 3 Pro
Recorded byForecastnest
Forecast made
Horizon1-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$337.77
Price the model reported$337.76
Expected range$332.00 to $344.00
Confidence54%
Prompt styleNo data
StatusSettled
Actual close$335.98
Traded range in the window$335.02 to $339.88
ResultNo directional call
Score53.2 of 100

The model's reasoning

(1) What you found, and where: Live financial market feeds show Alphabet Inc. (GOOG) trading around $337.76 as of September 28, 2026, reflecting slight early-session pressure following Friday's close at $341.08.

(2) The current market regime as you read it: Mega-cap technology equities are experiencing subdued, range-bound behavior as investors consolidate positions ahead of upcoming macroeconomic data releases and quarter-end portfolio rebalancing.

(3) Price range justification, with the levels and volatility you are using: Using recent intraday parameters spanning a daily low near $336.60 and an upper resistance test around $340.11, the 1-day range is set between $332.00 and $344.00 to account for normal daily fluctuation bands.

(4) Scheduled or likely catalysts inside the window: No major company-specific earnings announcements or high-impact product unveilings are scheduled for the immediate 24-hour window, leaving price action dictated by broader market liquidity and index flow.

(5) The strongest counter-argument, and what would invalidate your call: An abrupt sector-wide rotation or unexpected macroeconomic shock could easily break the lower boundary of the current consolidation channel.

(6) Why your confidence is the number it is: Confidence is held at a modest 54% because a single-day horizon in a consolidating large-cap asset carries high noise-to-signal ratios, rendering tight directional forecasts highly susceptible to random intraday swings.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-6$330.00 to $345.0047%No directional call52.5
Perplexity$337.20 to $345.8056%Direction called incorrectly12.1
Claude Opus 5.5$335.00 to $348.0025%Direction called correctly61.6
Muse Spark 1.1$333.00 to $342.0055%Direction called incorrectly31.0
Grok 4$333.50 to $342.5042%No directional call53.0
DeepSeek$334.00 to $348.0058%Direction called incorrectly32.1

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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