SOXL 1-day forecast by Grok 4
Grok 4's 1-day forecast for SOXL, made 2026-09-23: expected range $135.00 to $155.00 at 40% confidence. Settled at $145.70: direction called correctly, score 78.2.
| Asset | SOXL |
|---|---|
| Model | Grok 4 |
| 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 | $144.80 |
| Expected range | $135.00 to $155.00 |
| Confidence | 40% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $145.70 |
| Traded range in the window | $136.90 to $147.20 |
| Result | Direction called correctly |
| Score | 78.2 of 100 |
The model's reasoning
(1) What you found, and where: Live quotes from MarketWatch, TradeSmith, ChartExchange, FT.com and others show SOXL trading near $144-$145 as of mid-to-late afternoon EDT on September 23, 2026 (examples: ~$144.54-$145.21 around 2:15-2:34 p.m. EDT). Previous close was $151.95 after a +7% surge on September 22. Day range has been roughly $139.58-$151.00 with elevated volume.
(2) The current market regime as you read it: Sharp intraday reversal in a highly leveraged semiconductor product after a multi-session rally driven by strength in Micron, AMD, NVIDIA and related names. Semiconductors remain supported by AI demand narratives and recent positive analyst commentary, but today's broad pullback in the group (and 3x leverage) has produced a large single-day decline. Broader equity backdrop shows mixed near-term pressure after the recent Fed rate hike.
(3) Price range justification, with the levels and volatility you are using: Anchored to the ~$144.80 quote, the $135-$155 range reflects SOXL's extreme daily volatility (recent sessions frequently move 5-15%, with historical daily realized volatility often exceeding 100% annualized). Support zones sit near the session low and prior consolidation areas; upside resistance aligns with the prior close and recent highs. The range is asymmetric lower to account for possible follow-through selling in a leveraged product.
(4) Scheduled or likely catalysts inside the window: Limited major scheduled data in the immediate 24-hour post-close period. Residual sensitivity to any semiconductor-specific headlines, broader tech sentiment, or residual Fed-related commentary. Month-end positioning and recent options activity may add short-term noise.
(5) The strongest counter-argument, and what would invalidate your call: A swift rebound in leading chip stocks (NVIDIA, Micron, AMD) on positive AI or memory-cycle news could drive a sharp recovery toward or above $155. Continued risk-off flows or further semiconductor weakness would push below $135. A decisive close outside the stated range on high volume would invalidate the near-term mild-bearish lean.
(6) Why your confidence is the number it is: One-day forecasts for a 3x leveraged semiconductor ETF are inherently noisy. Live price and session data provide a clear anchor, but the combination of elevated volatility, recent multi-day swings, and absence of a dominant overnight catalyst keeps conviction at 40%.
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 |
| Gemini 1.5 Pro | $136.00 to $153.00 | 60% | Direction called incorrectly | 40.0 |
| 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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