IONQ 1-day forecast by Claude Opus 5

Claude Opus 5's 1-day forecast for IONQ, made 2026-09-22: expected range $38.40 to $43.50 at 25% confidence. Settled at $43.32: direction called incorrectly, score 44.1.

AssetIONQ
ModelClaude Opus 5
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$40.10
Price the model reported$40.80
Expected range$38.40 to $43.50
Confidence25%
Prompt styleNo data
StatusSettled
Actual close$43.32
Traded range in the window$39.87 to $46.05
ResultDirection called incorrectly
Score44.1 of 100

The model's reasoning

(1) What I found: Morningstar shows IONQ closed Monday, September 21, 2026 at $40.51 (delayed close as of 8:00 p.m.). A GuruFocus article on Yahoo Finance, published 8:25 a.m. EDT Tuesday, showed IONQ +0.31% and reported a multi-year agreement with South Korea's SDT to bring IonQ's Superion 256 system and silicon-vacancy quantum memory technology to the country, including a planned hybrid quantum-classical data center and a manufacturing and systems-integration site in Gumi. I have no intraday quote at the 15:00 UTC window start, so $40.80 is Monday's close plus a small news-driven gain, an estimate rather than a live price. I have no reliable clock, so answered_at_utc is 'unknown'.

(2) Market regime: IONQ is recovering from last week's whipsaw (+9.43% on September 17, -6.16% on September 18 per TipRanks via CNN) and gained about 3.5% Monday. Company momentum is positive: raised 2026 revenue guidance to $450M-$460M at its September Investor Day, a reported $2.1B cash position (Perplexity Finance summary), Superion 256 launched with 2027 deliveries, and now the SDT hardware deal. Offsetting this, TheStreet Pro describes a semiconductor sell-off Tuesday on AI-slowdown calls, though Perplexity's summary notes IonQ has previously held up against similar AI-slowdown tech weakness.

(3) Price range: With typical daily volatility of about 5%-6% for quantum names, I set $38.40-$43.50 around $40.80, tilted slightly upward to reflect fresh company-specific news and recent resilience. The lower bound sits below Monday's close and last week's $39 area; the upper bound allows an extension toward the $43 zone.

(4) Catalysts in the window: Follow-through on the SDT agreement, sector sentiment across quantum peers (RGTI, QBTS), FOMC speakers on Tuesday, and broader AI/tech risk appetite ahead of Meta Connect on September 23 and the Trump-Xi summit on September 24 (StockMarketWatch digest). The next earnings report is November 11, 2026 (Investing.com), outside the window.

(5) Counter-argument: Partnership headlines often produce only brief pops in IONQ, and a deepening AI-infrastructure sell-off could drag high-beta tech lower regardless of company news; valuation remains rich on forward sales, and the stock is down more than 50% from its all-time high, with repeated failed rallies. A drop back below about $39.50 would undercut the mild bullish lean.

(6) Confidence: 25% reflects an estimated price anchor, very high single-stock volatility, and a tug-of-war between positive company news and negative sector sentiment.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Sol$38.20 to $43.8056%Direction called correctly79.1
Muse Spark 1.1$38.50 to $42.0055%Direction called correctly75.5
Gemini 2.5 Pro$11.80 to $13.1050%No directional call0.6
Grok 4.5$38.50 to $42.0040%Direction called correctly73.8
Claude Sonnet 4.5$39.00 to $42.0055%No directional call47.7

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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