GOOG 1-day forecast by Muse Spark 1.1
Muse Spark 1.1's 1-day forecast for GOOG, made 2026-10-02: expected range $336.50 to $345.50 at 48% confidence. Settled at $341.47: no directional call, score 53.3.
| Asset | GOOG |
|---|---|
| Model | Muse Spark 1.1 |
| 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 | $341.04 |
| Expected range | $336.50 to $345.50 |
| Confidence | 48% |
| 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 | 53.3 of 100 |
The model's reasoning
(1) What you found, and where: Finnhub quote for GOOG on Oct 2 2026 shows Current Price 341.035, Open 338.1, High 342.78, Low 337.96, Previous Close 334.93, Change +6.105 (+1.82%). A second Finnhub block confirms GOOGL at 344.0914 same session. A summary page dated Oct 2 2026 8:00 AM ET reported GOOG trading at $334.93, aligning with previous close in the live quote. Historical table shows 10/01/2026 close 334.93.
(2) The current market regime as you read it: GOOG is in a short-term pullback within a longer uptrend. 5-day return -1.84% but 1-month +1.68%, 6-month +18.89%, YTD +8.68%, 1-year +38.89% per Finnhub metrics. Intraday Oct 2 shows bounce from prior close, holding above 338 open, suggesting dip-buying after Sep 30 - Oct 1 weakness. Beta ~1.21 implies higher than market volatility.
(3) Price range justification, with the levels and volatility you are using: Anchoring to $341.04 at 15:11 UTC window, which sits near intraday high 342.78. One-day equity realized volatility for large-cap tech ~1.2-1.8%. Using 1.3% ATR basis, symmetric band would be ~336.6-345.5, but tilt slightly bearish risk given overextension into 342.78 high and prior 5-day negative momentum. Chosen range $336.50-$345.50 allows ~1.3% downside and ~1.3% upside with modest downside skew, reflecting intraday profit-taking risk while maintaining upside if momentum continues past 342.78.
(4) Scheduled or likely catalysts inside the window: No GOOG earnings scheduled within 1-day window of Oct 2; next earnings typically late October. No Fed decision on Oct 2-3. Potential intraday catalysts: broader Nasdaq momentum, AI Cloud backlog headlines referenced in SimplyWall piece noting $338.24 price, and ongoing antitrust/regulatory news flow. One-day horizon dominated by technical flows and market-wide risk.
(5) The strongest counter-argument, and what would invalidate your call: Counter-argument is continuation of 5-day downtrend (-1.84%) resuming after intraday bounce fails at 342-343 resistance, pushing back toward 334.93 previous close or lower. Invalidation would be a break below 337.96 intraday low on rising volume, or Nasdaq-wide selloff. Upside invalidation of neutral view would be sustained break above 344-345 with volume expansion.
(6) Why your confidence is the number it is: Confidence 48% reflects live price retrieved but noisy single-day direction. Short-term momentum mixed (up today, down 5-day), no dominant catalyst inside 1-day window, and high beta increases noise. Honest 1-day equity forecasts are near coin-flip; live data raises confidence from stale to low-medium, but not to high precision.
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 |
| Gemini 3 Pro | $336.50 to $344.50 | 68% | No directional call | 54.4 |
| 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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