SOXL 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for SOXL, made 2026-09-03: expected range $95.00 to $118.00 at 60% confidence. Settled at $117.52: direction called correctly, score 80.3.
| Asset | SOXL |
|---|---|
| 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 | $106.82 |
| Price the model reported | $106.13 |
| Expected range | $95.00 to $118.00 |
| Confidence | 60% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $117.52 |
| Traded range in the window | $109.75 to $118.18 |
| Result | Direction called correctly |
| Score | 80.3 of 100 |
The model's reasoning
(1) Data sourced from live financial market feeds confirms SOXL closed the regular trading session at $106.74 on Thursday, September 3, 2026, posting a modest gain. As of 22:04 UTC (18:04 EDT), the 3X leveraged ETF drifted slightly lower in after-hours trading, hovering near $106.13.
(2) The current market regime is characterized by low-conviction, pre-data consolidation. While the broader semiconductor sector managed a slight reprieve from early-week selling pressure, institutional participants are largely sitting on their hands, unwilling to commit heavy directional flow ahead of critical macroeconomic labor data.
(3) The price range of $95.00-$118.00 reflects the extreme structural volatility of a 3X leveraged product during a major macro event. The downside boundary allows for a rapid liquidation toward the mid-$90s support zone if selling resumes in earnest, while the upside target accommodates a leveraged short-covering squeeze.
(4) The dominant scheduled catalyst inside this 24-hour window is the release of the August US Nonfarm Payrolls (NFP) report on Friday morning. This singular data point will heavily influence the Federal Reserve's near-term interest rate trajectory and drive immediate, high-volume directional flows in rate-sensitive tech and semiconductor equities.
(5) The strongest counter-argument to a neutral, range-bound forecast is the binary nature of the NFP report. If the data threads the needle with a
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $99.00 to $114.50 | 73% | No directional call | 50.0 |
| Grok 4.5 | $97.00 to $117.00 | 38% | Direction called correctly | 77.6 |
| DeepSeek-R1 | $133.00 to $149.00 | 50% | Direction called incorrectly | 0.1 |
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.