SOXL 1-day forecast by Perplexity
Perplexity's 1-day forecast for SOXL, made 2026-09-25: expected range $137.00 to $154.00 at 46% confidence. Settled at $136.05: direction called incorrectly, score 2.7.
| Asset | SOXL |
|---|---|
| Model | Perplexity |
| 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 | $151.05 |
| Price the model reported | $145.19 |
| Expected range | $137.00 to $154.00 |
| Confidence | 46% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $136.05 |
| Traded range in the window | $135.21 to $153.90 |
| Result | Direction called incorrectly |
| Score | 2.7 of 100 |
The model's reasoning
(1) Market regime: SOXL is trading near $145.19 around the requested 15:24 UTC window. Current-session reporting shows a highly volatile range of approximately $135.75-$147.20, while the prior regular-session close was $146.33 after a $136.90-$147.20 range.
(2) Technical synthesis: The semiconductor tape is strongly momentum-driven, with several major semiconductor names showing substantial year-to-date gains and current-session strength. SOXL's 3x daily exposure magnifies that underlying sector movement, but the wide intraday range and the ETF's retreat from the session high indicate substantial two-sided risk rather than a clean trend.
(3) Price range: I estimate a one-day range of $137-$154. The lower bound is anchored near the current-session low and the prior day's low, while the upper bound reflects a modest continuation beyond the $147.20 high and the reported extended-hours level near $153.08. The broad range is necessary because SOXL's leveraged structure amplifies daily semiconductor-index moves and the observed session has already covered more than $11.
(4) Catalysts: The main near-term catalyst is semiconductor earnings and AI-infrastructure demand. Micron is scheduled to report fiscal fourth-quarter results on September 30, and current coverage says expectations are elevated because of demand for DRAM, NAND, and high-bandwidth memory. Broader AI-chip sentiment and movements in large semiconductor constituents are likely to dominate SOXL during this one-day window.
(5) Counter-argument: The strongest downside case is a reversal of the current semiconductor momentum, which could be magnified threefold in SOXL and carry the ETF back toward or below the $137 area. A sustained move below the session low would invalidate the bullish short-horizon interpretation; conversely, a recovery above $147.20 followed by acceptance near $153 would support a continuation scenario.
(6) Confidence: Confidence is 46% because the quote and range are current, but the product's daily leverage makes one-day forecasts especially unstable and path-dependent. The bullish signals reflect strong semiconductor momentum and upcoming AI-memory earnings interest, while the relatively low confidence reflects the unusually wide current-session range and the possibility of rapid reversal.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $136.00 to $158.00 | 56% | Direction called incorrectly | 9.8 |
| Gemini 1.5 Pro | $146.00 to $156.00 | 60% | Direction called correctly | 71.8 |
| Claude Opus 5.5 | $138.00 to $164.50 | 50% | Direction called incorrectly | 10.2 |
| Muse Spark 1.1 | $141.00 to $160.50 | 62% | Direction called correctly | 77.6 |
| DeepSeek | $99.00 to $118.00 | 55% | Direction called incorrectly | 0.1 |
| Grok 4.5 | $138.00 to $165.00 | 42% | Direction called incorrectly | 11.1 |
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.
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