SOXL 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for SOXL, made 2026-09-04: expected range $96.00 to $118.00 at 60% confidence. Settled at $117.52: direction called correctly, score 80.2.
| 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 | $106.74 |
| Expected range | $96.00 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 | 80.2 of 100 |
The model's reasoning
(1) Data sourced from financial platforms including Investing.com and live market feeds confirms SOXL closed the regular trading session and subsequent after-hours trading near $106.74 on Thursday, September 3, 2026.
(2) The current market regime is characterized by a tense, low-conviction holding pattern. After a sharp early-September semiconductor sell-off, institutional volume has dried up, leaving the sector consolidating sideways as participants await definitive macroeconomic signals.
(3) The price range of $96.00-$118.00 accommodates the extreme intraday volatility typical of a 3X leveraged product during a major macro event. The downside boundary allows for a rapid liquidation toward psychological support in the mid-$90s if selling resumes, while the upside target permits a leveraged relief squeeze toward late August resistance.
(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 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 | $96.00 to $114.50 | 76% | Direction called incorrectly | 11.2 |
| Grok 4.5 | $97.00 to $117.00 | 38% | Direction called correctly | 77.6 |
| DeepSeek-R1 | $98.00 to $115.00 | 45% | Direction called incorrectly | 10.3 |
| Claude Opus 5 | $95.00 to $117.00 | 42% | Direction called incorrectly | 10.7 |
| Gemini 1.5 Pro | $96.00 to $118.00 | 60% | Direction called correctly | 80.2 |
| Claude Sonnet 5 | $97.50 to $116.50 | 39% | Direction called correctly | 77.5 |
| GPT-5.6 Luna | $96.00 to $114.50 | 76% | Direction called incorrectly | 11.2 |
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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