SOXL 4-hour forecast by Grok 4.5
Grok 4.5's 4-hour forecast for SOXL, made 2026-08-24: expected range $112.50 to $121.50 at 35% confidence. Settled at $111.24: direction called correctly, score 80.2.
| Asset | SOXL |
|---|---|
| Model | Grok 4.5 |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 4-hour (Existing Mode 1 horizon rules apply; the stored expiry is authoritative.) |
| Window closes | |
| Price when asked | $120.59 |
| Expected range | $112.50 to $121.50 |
| Confidence | 35% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $111.24 |
| Traded range in the window | $106.00 to $115.05 |
| Result | Direction called correctly |
| Score | 80.2 of 100 |
The model's reasoning
(1) Retrieved premarket quotes from MarketWatch (updated ~8:05 AM EDT showing $114.98, -4.66%), Google Finance (~$115.27 pre-market), ChartExchange (~$115.18), Investing.com mirrors, and ADVFN (~$114.67), all indicating a material gap down from the Friday 2026-08-21 regular close of $120.60 (day range 116.71-126.79). Broader context from TipRanks, CNBC-TV18, Investopedia, and MarketScreener: US equity futures soft, tech/semis under pressure ahead of Nvidia earnings (Aug 26) and Jackson Hole; NVDA itself modestly higher on reports of >15% AI server price hikes driven by memory costs. Historical volatility remains extreme for the 3x product (recent daily swings of 5-15%+ common).
(2) Current regime is short-term bearish consolidation after a multi-session selloff from the mid-150s, with premarket gap risk amplifying downside into the open; longer-term structure retains residual upside bias from the prior AI-driven advance but is subordinate for a 4-hour window.
(3) Range measured from the $120.59 baseline and skewed lower to reflect the observed ~4.5-5% premarket discount plus typical early-session volatility in a leveraged semiconductor ETF. Lower bound near recent session lows and premarket indications allows for an open near 115 followed by further probe or stabilization; upper bound permits a partial recovery toward the prior close without assuming a full fill of the gap.
(4) Inside the 4-hour window (premarket through first ~2-3 hours of regular trade): no high-impact data releases; primary drivers are the open itself, residual weekend positioning, and any early reaction to the Nvidia price-hike headlines or broader futures tone. Major catalysts (Nvidia results, PCE, Jackson Hole) lie outside this window.
(5) Strongest counter-argument is a sharp short-covering bounce at the open if futures stabilize or if the NVDA-related news sparks sector rotation, potentially pushing toward or above the upper bound; invalidation would be sustained trade reclaiming ~$122 with expanding volume.
(6) Confidence is modest at 35% because the directional lean rests primarily on the visible premarket gap and recent price action rather than a high-conviction intraday setup; 3x leverage amplifies noise, liquidity at the open can produce wide ranges either way, and data is partial (solid premarket quotes and news but no live regular-session tape yet).
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $114.50 to $123.80 | 67% | Direction called correctly | 78.7 |
| Gemini 1.5 Pro | $109.00 to $116.50 | 80% | Direction called correctly | 90.2 |
| DeepSeek V3 | $111.00 to $122.00 | 55% | Direction called correctly | 83.8 |
| Claude Opus 5 | $110.50 to $122.80 | 64% | Direction called correctly | 84.3 |
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.