SPY 7-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 7-day forecast for SPY, made 2026-08-25: expected range $748.00 to $780.00 at 55% confidence. Settled at $763.76: no directional call, score 53.0.
| Asset | SPY |
|---|---|
| Model | Gemini 1.5 Pro |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 7-day (Existing Mode 1 horizon rules apply; the stored expiry is authoritative.) |
| Window closes | |
| Price when asked | $764.70 |
| Expected range | $748.00 to $780.00 |
| Confidence | 55% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $763.76 |
| Traded range in the window | $761.17 to $775.30 |
| Result | No directional call |
| Score | 53.0 of 100 |
The model's reasoning
(1) What I found and where: According to live market data retrieved from Fidelity (MT Newswires) and Investing.com for August 25, 2026, SPY is trading relatively flat near the $765-$766 level. A critical catalyst was identified via Pluang and Wall Street Horizon: Nvidia (NVDA) is scheduled to report fiscal Q2 2026 earnings on August 26 after market close, with towering revenue expectations of $92.2 billion.
(2) Market regime: The current regime is a tense, choppy consolidation. The broader market is in a 'wait-and-see' mode, with mega-cap tech completely dictating directional momentum while bond yields exhibit occasional spikes on inflation fears.
(3) Price range justification: Measuring from the $765.08 baseline, a 7-day range of $748.00 to $780.00 accounts for roughly ±2% of volatility. The upper bound tests the recent 52-week high of $779.37, which is achievable on a blowout NVDA report, while the $748 downside leaves room for a broad market pullback if tech falters.
(4) Scheduled catalysts: The single largest catalyst within this window is Nvidia's earnings on August 26. Secondary macro data includes August consumer confidence, new-home sales, and typical end-of-month PCE inflation data.
(5) Counter-argument: The strongest risk to a bullish bias is that Nvidia's forward guidance fails to exceed the astronomical expectations already priced in, triggering a 'sell the news' event that violently drags down the S&P 500's heavy tech weighting. Furthermore, if upcoming inflation data surprises to the upside, a spike in bond yields could compound the selloff.
(6) Confidence is 55% because a 7-day forecast during this specific week relies almost entirely on the binary outcome of a single mega-cap tech earnings report, which carries extreme variance.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $744.00 to $782.00 | 64% | Direction called correctly | 81.1 |
| DeepSeek V3 | $745.00 to $775.00 | 52% | Direction called correctly | 81.4 |
| Grok 4.5 | $748.00 to $782.00 | 30% | No directional call | 51.8 |
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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