GOOG 1-day forecast by Grok 4.5

Grok 4.5's 1-day forecast for GOOG, made 2026-10-15: expected range $338.00 to $350.00 at 42% confidence. Settled at $338.03: direction called correctly, score 78.7.

AssetGOOG
ModelGrok 4.5
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$345.25
Price the model reported$344.40
Expected range$338.00 to $350.00
Confidence42%
Prompt styleNo data
StatusSettled
Actual close$338.03
Traded range in the window$337.22 to $346.74
ResultDirection called correctly
Score78.7 of 100

The model's reasoning

(1) What you found, and where: Live quotes from stockanalysis.com (https://stockanalysis.com/stocks/goog/) at Oct 15 2026 1:07 PM EDT showed GOOG at 344.40 (+0.75 / +0.22%) with open 340.53, day range 336.82-348.40, previous close 343.65, volume ~6.26M; MarketWatch and TECHi confirmed similar intraday prints around 344-345. Completed daily OHLCV (NASDAQ, USD, split-adjusted, volume in shares, Eastern session close) from MarketWatch/TECHi (https://www.marketwatch.com/investing/stock/goog/download-data, https://www.techi.com/quote/GOOG/historical/): 2026-10-08 O 349.65 H 353.53 L 343.51 C 344.86 V 13986970; 2026-10-09 O 348.00 H 351.06 L 346.88 C 347.86 V 11142890; 2026-10-12 O 348.34 H 352.66 L 347.16 C 348.97 V 11854230; 2026-10-13 O 352.42 H 354.50 L 347.57 C 349.52 V 14445130; 2026-10-14 O 351.43 H 355.25 L 342.40 C 343.65 V 20106359. return_5d_pct ≈ -0.35% (343.65 / 344.86 - 1). high_20d ≈ 359.98, low_20d ≈ 332.65, avg_volume_20d ≈ 16.5M shares.

(2) The current market regime as you read it: Price has consolidated in a mid-340s range after a May 2026 52-week high near 404, with the last completed session showing a high-volume rejection from 355 to close near the low of the day. Intraday on 15-Oct recovered modestly from the prior close amid light volume. Broader AI sentiment remains constructive but the near-term path is choppy with no decisive breakout.

(3) Price range justification, with the levels and volatility you are using: Anchored at the live ~344.40 quote, the 1-day window range $338-$350 reflects typical single-session realized moves of ~1.5-2.5% given recent daily ranges (often $5-12) and the 20-session high/low band. Downside room to the Oct 1 low area and prior support; upside limited by the 350-355 supply zone repeatedly tested and rejected.

(4) Scheduled or likely catalysts inside the window: No major scheduled catalysts in the 24-hour window to 16-Oct 17:28 UTC. Earnings are set for ~28-Oct 2026. Recent news (Gemini 4 Argon launch, European AI researcher access program, Universal Cart rollout, analyst target raises on TPU potential) are already reflected in price and mainly sentiment/AI positioning rather than immediate fundamental shifts.

(5) The strongest counter-argument, and what would invalidate your call: Recent high-volume down day on 14-Oct and failure to hold above 350 argue for continued mild pressure or range-bound action; a decisive close above 350-352 with rising volume would invalidate the mild-bearish tilt and point to short-term recovery. Stronger AI product adoption data or macro risk-on could also reverse the bias.

(6) Why your confidence is the number it is: Moderate-low at 42% because the 1-day horizon is dominated by noise, volume is below 20-day average so far today, and the directional edge from the prior rejection is only modest; data is live for price and recent history but lacks full same-time-of-day volume baselines for the partial session.

Other models on the same question

ModelExpected rangeConfidenceResultScore
Perplexity$336.00 to $350.0045%Direction called correctly79.2
Muse Spark 1.1$337.50 to $351.2038%Direction called correctly78.7
GPT-6$334.00 to $353.0054%Direction called correctly80.8
DeepSeek$342.00 to $350.0055%No directional call48.9
Gemini 2.5 Pro$340.00 to $352.0075%No directional call52.3

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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