SOXL 7-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 7-day forecast for SOXL, made 2026-08-29: expected range $98.00 to $118.00 at 60% confidence. Settled at $766.99: direction called correctly, score 81.5.
| Asset | SOXL |
|---|---|
| Model | Gemini 1.5 Pro |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 7-day (Existing Mode 1 horizon rules apply; the stored expiry is authoritative.) |
| Window closes | |
| Price when asked | $769.38 |
| Expected range | $98.00 to $118.00 |
| Confidence | 60% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $766.99 |
| Traded range in the window | $759.48 to $774.03 |
| Result | Direction called correctly |
| Score | 81.5 of 100 |
The model's reasoning
(1) What I found, and where: Live market data from BNN Bloomberg, Barchart, and The Motley Fool as of August 28-29, 2026, confirms SOXL closed Friday at $111.34 after dropping 9.5%. The broader semiconductor sector sold off aggressively following a hawkish Jackson Hole speech by Fed Chair Kevin Warsh, which raised the probability of a September rate hike to nearly 60% and pushed the 10-year Treasury yield up to 4.70%.
(2) Market regime: The market is currently in a volatile, rates-driven tech pullback regime. Despite exceptional recent earnings from industry leaders like Nvidia, the semiconductor sector is facing severe profit-taking and multiple compression as investors rapidly de-risk and adjust to a tighter monetary policy outlook.
(3) Price range justification: Measuring from the $111.34 baseline, I project a 7-day range of $98.00-$118.00. As a 3x leveraged ETF, SOXL routinely experiences double-digit percentage weekly moves. The range is skewed to the downside to reflect the immediate technical damage from Friday's selloff and the seasonal volatility typical of equities entering early September.
(4) Scheduled catalysts: The dominant catalysts inside this 7-day window are the major early-month economic data releases, most notably the ISM Manufacturing Index and the August US non-farm payrolls report scheduled for Friday, September 4. These prints will dictate whether the market fully prices in Warsh's signaled rate hike.
(5) Counter-argument: The strongest risk to the bearish downside is the underlying fundamental strength of the AI infrastructure cycle. If the upcoming labor data comes in significantly softer than expected, the market could quickly dismiss the Jackson Hole rate fears, sparking a rapid 'buy-the-dip' reflex that invalidates the downward skew and pushes SOXL back above $118.
(6) Confidence: My confidence is 60%. While the macroeconomic headwinds and rising yields present a clear negative drag on high-beta tech assets, forecasting a leveraged 3x ETF across the traditionally volatile late-August to early-September transition carries inherent unpredictability.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $98.00 to $120.00 | 74% | Direction called correctly | 82.9 |
| Grok 4.5 | $95.00 to $125.00 | 30% | Direction called correctly | 78.3 |
| Claude Opus 5 | $90.50 to $129.00 | 50% | Direction called correctly | 80.1 |
| DeepSeek V3 | $115.00 to $135.00 | 62% | Direction called correctly | 81.7 |
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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