IONQ 7-day forecast by Gemini 1.5 Pro
Gemini 1.5 Pro's 7-day forecast for IONQ, made 2026-09-04: expected range $35.00 to $45.00 at 65% confidence. Settled at $36.75: direction called incorrectly, score 30.9.
| Asset | IONQ |
|---|---|
| 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 | $39.52 |
| Price the model reported | $39.52 |
| Expected range | $35.00 to $45.00 |
| Confidence | 65% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $36.75 |
| Traded range in the window | $36.33 to $44.43 |
| Result | Direction called incorrectly |
| Score | 30.9 of 100 |
The model's reasoning
(1) Data sourced from financial platforms including MarketBeat and live exchange feeds confirms IONQ closed the regular trading session at $39.52 on Friday, September 4, 2026, recovering slightly from an intraday low of $38.83.
(2) The current market regime for this asset is characterized by extreme volatility and a technical tug-of-war. Despite strong fundamental top-line growth (recently reporting 286% YoY revenue growth), the stock has struggled technically, recently flashing a bearish
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Luna | $35.00 to $45.50 | 79% | Direction called incorrectly | 30.8 |
| Grok 4.5 | $35.00 to $45.00 | 40% | Direction called incorrectly | 30.9 |
| DeepSeek-R1 | $36.50 to $44.50 | 52% | Direction called incorrectly | 32.2 |
| Claude Opus 5 | $34.30 to $43.70 | 37% | Direction called correctly | 78.8 |
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.
ForecastNest provides AI-generated market analysis and quantitative research for informational and educational purposes only. Nothing here constitutes financial, investment, legal, or tax advice.