SPY 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for SPY, made 2026-09-05: expected range $530.00 to $540.00 at 10% confidence. Settled at $765.98: no directional call, score 1.3.
| Asset | SPY |
|---|---|
| Model | Gemini 1.5 Pro |
| 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 | $770.24 |
| Price the model reported | $535.00 |
| Expected range | $530.00 to $540.00 |
| Confidence | 10% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $765.98 |
| Traded range in the window | $765.15 to $769.69 |
| Result | No directional call |
| Score | 1.3 of 100 |
The model's reasoning
(1) Data retrieval and sources: Operating at the requested target date of September 2026, I am unable to retrieve live market data, order book dynamics, or current news headlines. I am therefore relying entirely on historical extrapolation and categorizing this data access as stale.
(2) Market regime: Without access to current macroeconomic indicators, bond yields, or market breadth for Q3 2026, the baseline assumption defaults to a directionless drift. Over a 1-day window, absent a confirmable catalyst, the index typically exhibits mean-reverting behavior within its prevailing volatility bands.
(3) Price range justification: Anchoring from an estimated placeholder baseline of $535.00, the symmetric range of $530.00 to $540.00 represents approximately a +/- 1% intraday move. This aligns with the historical average daily true range for the SPY ETF during periods of normalized implied volatility.
(4) Scheduled catalysts: Without a live economic calendar, standard early-month macroeconomic data points serve as the presumed drivers. Since September 4, 2026 is the first Friday of the month, the US Non-Farm Payrolls (NFP) report would traditionally be scheduled for release, acting as the primary source of volume and volatility for the session.
(5) Counter-arguments and invalidation: Any deviation from standard expected volatility-such as a significant miss in the presumed payroll data or an unforeseen geopolitical shock-would immediately drive price discovery outside the +/- 1% bounds, invalidating this neutral projection.
(6) Confidence assessment: The confidence score is strictly capped at 10% because a 1-day forecast fundamentally relies on real-time catalysts, positioning, and momentum, all of which are entirely opaque without live data access for the target window.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $756.00 to $778.50 | 76% | Direction called correctly | 83.1 |
| Grok 4.5 | $762.00 to $778.00 | 40% | No directional call | 53.3 |
| DeepSeek-R1 | $767.00 to $779.00 | 55% | Direction called incorrectly | 13.6 |
| Claude Opus 5 | $756.00 to $782.00 | 44% | No directional call | 52.8 |
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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