SPY 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for SPY, made 2026-09-01: expected range $762.50 to $771.50 at 70% confidence. Settled at $761.64: no directional call, score 54.2.
| 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 | $766.95 |
| Price the model reported | $767.05 |
| Expected range | $762.50 to $771.50 |
| Confidence | 70% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $761.64 |
| Traded range in the window | $759.48 to $764.67 |
| Result | No directional call |
| Score | 54.2 of 100 |
The model's reasoning
(1) Data sourced from Google Finance and Investing.com confirms SPY ended the August 31, 2026 session at $767.05. The ETF drifted slightly lower on the day, respecting a tight intraday range with a low of $764.72 and a high of $767.99.
(2) The current market regime is characterized by high-level chop and consolidation. After peaking near $779 in mid-August, SPY has spent the last two weeks digesting gains and establishing a trading range, closing August with mild end-of-month distribution.
(3) The price range of $762.50-$771.50 assumes typical 1-day volatility for the index ETF. The downside level ($762.50) respects the established support structure from late August, while the upside target ($771.50) brackets the recent local highs before overhead supply steps in.
(4) The primary catalyst inside this 24-hour window will be the start of a new trading month and the release of key macroeconomic data, notably the ISM Manufacturing PMI, which typically dictates early-session momentum on the first business day of September.
(5) The strongest counter-argument to this range-bound forecast is the potential for a severe macro surprise. If Tuesday's manufacturing data drastically misses expectations and reignites recession fears, the $762 support could fail immediately, triggering a mechanical momentum sell-off.
(6) My confidence is 70%. Broad market ETFs usually respect recent volatility boundaries over a single session, but the first trading day of September historically carries elevated institutional reallocation risk that can stretch technical ranges.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $761.00 to $771.50 | 70% | Direction called correctly | 82.8 |
| Grok 4.5 | $759.50 to $773.00 | 45% | No directional call | 53.7 |
| DeepSeek V3 | $755.00 to $780.00 | 48% | No directional call | 53.0 |
| Claude Opus 5 | $757.00 to $773.50 | 47% | Direction called correctly | 80.3 |
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.
ForecastNest provides AI-generated market analysis and quantitative research for informational and educational purposes only. Nothing here constitutes financial, investment, legal, or tax advice.