SOXL 1-day forecast by Gemini 1.5 Pro

Gemini 1.5 Pro's 1-day forecast for SOXL, made 2026-09-02: expected range $94.50 to $110.00 at 70% confidence. Settled at $106.82: direction called incorrectly, score 19.3.

AssetSOXL
ModelGemini 1.5 Pro
Recorded byForecastnest
Forecast made
Horizon1-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$105.78
Price the model reported$103.70
Expected range$94.50 to $110.00
Confidence70%
Prompt styleNo data
StatusSettled
Actual close$106.82
Traded range in the window$98.63 to $108.07
ResultDirection called incorrectly
Score19.3 of 100

The model's reasoning

(1) Data sourced from Google Finance and MarketChameleon indicates SOXL closed at $105.91 on Tuesday, September 1, 2026, falling 6.1% on the day. Premarket trading data as of 12:10 UTC on September 2 shows the ETF gapping down further to $103.70.

(2) The current market regime is heavily risk-off for semiconductors. The sector is experiencing acute distribution, driven by early September institutional repositioning and broader macroeconomic growth concerns following a weak US manufacturing PMI print.

(3) The price range of $94.50-$110.00 accounts for the massive daily volatility inherent in a 3X leveraged ETF during a sector-wide sell-off. The downside bound allows for continued capitulation toward structural support in the mid-$90s, while the upside target permits a partial gap-fill if a relief bounce materializes.

(4) Inside this 24-hour window, the primary catalyst will be momentum follow-through from Tuesday's tech sell-off and the broader market's digestion of incoming labor market data, such as JOLTs job openings, which will heavily influence risk appetite.

(5) The strongest counter-argument to a continued bearish slide is the extreme short-term oversold condition of semiconductor equities. If the underlying index finds early-session support, SOXL's leverage could spark a violent, immediate short-covering rally that invalidates the downside bias.

(6) My confidence is 70%. While the technical and macroeconomic momentum clearly favors the bears, predicting intraday moves on a leveraged ETF during a high-volatility regime is inherently vulnerable to erratic whiplash.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Luna$98.00 to $111.5078%Direction called incorrectly30.6
Grok 4.5$92.00 to $112.0038%Direction called incorrectly12.6
DeepSeek V3$95.00 to $125.0040%Direction called correctly30.6
Claude Opus 5$89.00 to $112.0048%Direction called incorrectly6.8

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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