GOOG 1-day forecast by DeepSeek

DeepSeek's 1-day forecast for GOOG, made 2026-09-28: expected range $334.00 to $348.00 at 58% confidence. Settled at $335.98: direction called incorrectly, score 32.1.

AssetGOOG
ModelDeepSeek
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$339.32
Expected range$334.00 to $348.00
Confidence58%
Prompt styleNo data
StatusSettled
Actual close$335.98
Traded range in the window$335.02 to $339.88
ResultDirection called incorrectly
Score32.1 of 100

The model's reasoning

(1) What I found: I retrieved an intraday quote for GOOG at $339.32 (moomoo, 2026-09-28 09:51 ET), which is roughly 1 hour before the window start. The stock closed the prior session (2026-09-25) at $341.08, up 0.61%. Recent news includes Piper Sandler raising its projected level to $400 (from $395) on 2026-09-28, while Bernstein maintained a Hold rating with a $385 target. Alphabet faces a €403 million GDPR fine from Ireland and ongoing antitrust scrutiny over ad-tech, though a judge rejected a forced breakup of its ad business in mid-September. The next earnings date is estimated for 2026-10-28.

(2) Market regime: The broad tech tape remains sensitive to rising Treasury yields, which triggered a 3%+ drawdown in GOOG on 2026-09-23. However, the stock has stabilised in the $337-$343 range since then. The 52-week high is $404.47, leaving GOOG about 16% below that level. Valuation sits at ~17x P/E, well below the S&P 500 average, which may provide downside support.

(3) Price range justification: I am using a $334-$348 range for the next trading session. The lower bound reflects the recent intraday low of ~$337.91 and a buffer for continued yield-driven weakness. The upper bound is anchored to the 2026-09-28 intraday high of ~$343.60 plus room for a potential relief rally if the Piper Sandler note attracts buyers. Volatility (beta ~1.17, daily range ~1.7%) supports a range of roughly $10-$12 around the current price.

(4) Catalysts: There are no major scheduled events inside the 1-day window. The earnings report is not until late October. The main near-term catalysts are analyst actions (Piper Sandler upgrade) and any regulatory headlines. The antitrust compliance monitor appointment is a background risk, but no immediate deadline is known for the next session.

(5) Counter-argument: The strongest bear case is that the intraday quote is already below the prior close ($341.08), suggesting sellers are in control. If the 10-year yield continues to climb, tech multiples could compress further. A break below $337 would invalidate the mild-bullish thesis and open the door to a test of $330. Conversely, a close above $345 would strengthen the case for a move toward $350.

(6) Confidence: I set confidence at 58% because the forecast horizon is only one day and the stock is in a consolidation phase with no imminent hard catalyst. The analyst upgrade provides a mild tailwind, but the broader macro environment (yields) is a headwind. The range is intentionally asymmetric, with more room below than above, reflecting the recent downward pressure and the lack of a clear positive trigger.

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
Gemini 3 Pro$332.00 to $344.0054%No directional call53.2

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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