SOXL 1-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 1-day forecast for SOXL, made 2026-09-23: expected range $136.00 to $153.00 at 60% confidence. Settled at $145.70: direction called incorrectly, score 40.0.
| 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 | $145.19 |
| Price the model reported | $145.26 |
| Expected range | $136.00 to $153.00 |
| Confidence | 60% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $145.70 |
| Traded range in the window | $136.90 to $147.20 |
| Result | Direction called incorrectly |
| Score | 40.0 of 100 |
The model's reasoning
(1) What you found, and where: I retrieved live market data indicating that the Direxion Daily Semiconductor Bull 3X Shares (SOXL) was trading near $145.26 as of 2:55 PM EDT on September 23, 2026, utilizing NYSE Arca intraday pricing data.
(2) The current market regime as you read it: The equity market is presently in a volatile digestion phase. Following recent aggressive momentum in the semiconductor and artificial intelligence hardware sectors, institutional capital is recalibrating, leading to intraday consolidation and localized profit-taking in high-beta names.
(3) Price range justification, with the levels and volatility you are using: I project a 24-hour range of $136.00-$153.00. Given the 3x leverage factor, SOXL is experiencing high intraday velocity, having retreated from recent highs above $151.00. The $136.00 lower bound provides a necessary technical cushion for standard mean-reversion, while the $153.00 upper bound leaves room for a momentum retest of yesterday's peaks.
(4) Scheduled or likely catalysts inside the window: Price action over the next 24 hours will be dictated by late-day portfolio adjustments, momentum-chasing algorithms, overnight trading patterns in Asian semiconductor markets, and broader tech sector rebalancing.
(5) The strongest counter-argument, and what would invalidate your call: The primary risk to holding a leveraged ETF during a consolidation period is rapid, severe mean-reversion. If the broader tech market stalls further or if negative macro headlines suddenly surface, SOXL's 3x leverage could cause a downward cascade, swiftly breaking below the $136.00 support level.
(6) Why your confidence is the number it is: My confidence is 60%. While the underlying secular semiconductor narrative remains firmly intact, the extreme volatility, beta decay, and recent intraday choppiness associated with triple-leveraged ETFs make narrow, short-term directional forecasting highly uncertain.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $134.00 to $151.50 | 61% | Direction called incorrectly | 51.6 |
| Claude Opus 5 | $118.00 to $147.00 | 18% | Direction called incorrectly | 4.5 |
| Muse Spark 1.1 | $137.00 to $151.00 | 58% | Direction called incorrectly | 47.5 |
| Grok 4 | $135.00 to $155.00 | 40% | Direction called correctly | 78.2 |
| DeepSeek | $133.00 to $155.00 | 55% | Direction called incorrectly | 47.4 |
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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